Sample records for nasa global precipitation

  1. Global Precipitation Measurement Mission Products and Services at the NASA GES DISC

    NASA Technical Reports Server (NTRS)

    Liu, Z.; Ostrenga, D.; Vollmer, B.; Deshong, B.; MacRitchie, K.; Greene, M.; Kempler, S.

    2017-01-01

    This article describes NASA/JAXA Global Precipitation Measurement (GPM) mission products and services at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). Built on the success of the Tropical Rainfall Measuring Mission (TRMM), the next-generation GPM mission consists of new precipitation measurement instruments and a constellation of international research and operational satellites to provide improved measurements of precipitation globally. To facilitate data access, research, applications, and scientific discovery, the GES DISC has developed a variety of data services for GPM. This article is intended to guide users in choosing GPM datasets and services at the GES DISC.

  2. Access NASA Satellite Global Precipitation Data Visualization on YouTube

    NASA Astrophysics Data System (ADS)

    Liu, Z.; Su, J.; Acker, J. G.; Huffman, G. J.; Vollmer, B.; Wei, J.; Meyer, D. J.

    2017-12-01

    Since the satellite era began, NASA has collected a large volume of Earth science observations for research and applications around the world. Satellite data at 12 NASA data centers can also be used for STEM activities such as disaster events, climate change, etc. However, accessing satellite data can be a daunting task for non-professional users such as teachers and students because of unfamiliarity of terminology, disciplines, data formats, data structures, computing resources, processing software, programing languages, etc. Over the years, many efforts have been developed to improve satellite data access, but barriers still exist for non-professionals. In this presentation, we will present our latest activity that uses the popular online video sharing web site, YouTube, to access visualization of global precipitation datasets at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). With YouTube, users can access and visualize a large volume of satellite data without necessity to learn new software or download data. The dataset in this activity is the 3-hourly TRMM (Tropical Rainfall Measuring Mission) Multi-satellite Precipitation Analysis (TMPA). The video consists of over 50,000 data files collected since 1998 onwards, covering a zone between 50°N-S. The YouTube video will last 36 minutes for the entire dataset record (over 19 years). Since the time stamp is on each frame of the video, users can begin at any time by dragging the time progress bar. This precipitation animation will allow viewing precipitation events and processes (e.g., hurricanes, fronts, atmospheric rivers, etc.) on a global scale. The next plan is to develop a similar animation for the GPM (Global Precipitation Measurement) Integrated Multi-satellitE Retrievals for GPM (IMERG). The IMERG provides precipitation on a near-global (60°N-S) coverage at half-hourly time interval, showing more details on precipitation processes and development, compared to the 3

  3. New Global Precipitation Products and Data Service Updates at the NASA GES DISC

    NASA Technical Reports Server (NTRS)

    Liu, Z.; Ostrenga, D.; Savtchenko, A.; DeShong, B.; Greene, M.; Vollmer, B.; Kempler, S.

    2016-01-01

    This poster describes recent updates of the ongoing GPM data service activities at the NASA Goddard Earth Sciences (GES) Data and Information Services Center(DISC) to facilitate access and exploration of GPM, TRMM and other NASA precipitation datasets for the global community. The poster contains -Updates on GPM products and data services -New features in Giovanni for precipitation data visualization -Precipitation data and service outreach activities.

  4. Prototype of NASA's Global Precipitation Measurement Mission Ground Validation System

    NASA Technical Reports Server (NTRS)

    Schwaller, M. R.; Morris, K. R.; Petersen, W. A.

    2007-01-01

    NASA is developing a Ground Validation System (GVS) as one of its contributions to the Global Precipitation Mission (GPM). The GPM GVS provides an independent means for evaluation, diagnosis, and ultimately improvement of GPM spaceborne measurements and precipitation products. NASA's GPM GVS consists of three elements: field campaigns/physical validation, direct network validation, and modeling and simulation. The GVS prototype of direct network validation compares Tropical Rainfall Measuring Mission (TRMM) satellite-borne radar data to similar measurements from the U.S. national network of operational weather radars. A prototype field campaign has also been conducted; modeling and simulation prototypes are under consideration.

  5. Access NASA Satellite Global Precipitation Data Visualization on YouTube

    NASA Technical Reports Server (NTRS)

    Liu, Z.; Su, J.; Acker, J.; Huffman, G.; Vollmer, B.; Wei, J.; Meyer, D.

    2017-01-01

    Since the satellite era began, NASA has collected a large volume of Earth science observations for research and applications around the world. The collected and archived satellite data at 12 NASA data centers can also be used for STEM education and activities such as disaster events, climate change, etc. However, accessing satellite data can be a daunting task for non-professional users such as teachers and students because of unfamiliarity of terminology, disciplines, data formats, data structures, computing resources, processing software, programming languages, etc. Over the years, many efforts including tools, training classes, and tutorials have been developed to improve satellite data access for users, but barriers still exist for non-professionals. In this presentation, we will present our latest activity that uses a very popular online video sharing Web site, YouTube (https://www.youtube.com/), for accessing visualizations of our global precipitation datasets at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC). With YouTube, users can access and visualize a large volume of satellite data without the necessity to learn new software or download data. The dataset in this activity is a one-month animation for the GPM (Global Precipitation Measurement) Integrated Multi-satellite Retrievals for GPM (IMERG). IMERG provides precipitation on a near-global (60 deg. N-S) coverage at half-hourly time interval, providing more details on precipitation processes and development compared to the 3-hourly TRMM (Tropical Rainfall Measuring Mission) Multisatellite Precipitation Analysis (TMPA, 3B42) product. When the retro-processing of IMERG during the TRMM era is finished in 2018, the entire video will contain more than 330,000 files and will last 3.6 hours. Future plans include development of flyover videos for orbital data for an entire satellite mission or project. All videos, including the one-month animation, will be uploaded and

  6. Global Precipitation Products at NASA GES DISC for Supporting Agriculture Research and Applications

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Teng, W.; Ostrenga, D.; Albayrak, R.; Savtchenko, A.; Yang, W.; Vollmer, B.; Meyer, D.

    2017-01-01

    This presentation describes precipitation products available at the NASA GES DISC that support agricultural research. XXXX Key environmental variables for agriculture: precipitation, temperature, water (soil moisture), solar radiation, NDVI, etc. Rainfed agriculture - major farming practices that rely on rainfall for water. Rainfed agriculture: >95% of farmed land (sub- Saharan Africa); 90% (Latin America); 75% (Near East and North Africa); 65% (East Asia); 60% (South Asia). Precipitation is very important for rainfed agriculture. Droughts can cause severe damage. Precipitation information can be used to monitor the growing season. The Goddard Earth Sciences (GES) Data and Information Services Center (DISC), one of 12 NASA data centers, located in Greenbelt, Maryland, USA. The GES DISC is a major data archive center for global precipitation, water & energy cycles, atmospheric composition, and climate variability Global and regional precipitation datasets (satellite-based and data assimilation Data services (subsetting, format conversion, online visualization, etc.) User services are available FAQs, How to (recipes), Glossary, etc. Social media (Twitter, YouTube, User forum) Help desk (phone, email, online feedback) Training materials (ARSET => Applied Remote Sensing Training) Liu,

  7. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A NASA Global Precipitation Measurement (GPM) mission shirt is seen drying in the mid-day sun outside the Sun Pearl Hotel where many of the NASA GPM team are staying, Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  8. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2017-12-08

    Art Azarbarzin, NASA Global Precipitation Measurement (GPM) project manager talks during a technical briefing for the launch of the Global Precipitation Measurement (GPM) Core Observatory aboard an H-IIA rocket, Wednesday, Feb. 26, 2014, Tanegashima Space Center, Japan. Launch is scheduled for early in the morning of Feb. 28 Japan time. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  9. Global Precipitation Measurement mission data released on This Week @NASA - September 5, 2014

    NASA Image and Video Library

    2014-09-05

    Precipitation information from the first six months of the Global Precipitation Measurement Core Observatory mission now is fully available to the public. Launched from Japan in February, the joint NASA and Japan Aerospace Exploration Agency mission works with international partner satellites to produce precise and standardized data sets on worldwide rainfall, snowfall and other precipitation. The data can be used to improve forecasts of extreme weather events like floods and help decision makers worldwide better manage water resources. Also, Earthquake data from the air, Next ISS crew trains, Talking STEM with students and OSIRIS-REx time capsule!

  10. Global precipitation measurement (GPM)

    NASA Astrophysics Data System (ADS)

    Neeck, Steven P.; Flaming, Gilbert M.; Adams, W. James; Smith, Eric A.

    2001-12-01

    The National Aeronautics and Space Administration (NASA) is studying options for future space-based missions for the EOS Follow-on Era (post 2003), building upon the measurements made by Pre-EOS and EOS First Series Missions. One mission under consideration is the Global Precipitation Measurement (GPM), a cooperative venture of NASA, Japan, and other international partners. GPM will capitalize on the experience of the highly successful Tropical Rainfall Measurement Mission (TRMM). Its goal is to extend the measurement of rainfall to high latitudes with high temporal frequency, providing a global data set every three hours. A reference concept has been developed consisting of an improved TRMM-like primary satellite with precipitation radar and microwave radiometer to make detailed and accurate estimates of the precipitation structure and a constellation of small satellites flying compact microwave radiometers to provide the required temporal sampling of highly variable precipitation systems. Considering that DMSP spacecraft equipped with SSMIS microwave radiometers, successor NPOESS spacecraft equipped with CMIS microwave radiometers, and other relevant international systems are expected to be in operation during the timeframe of the reference concept, the total number of small satellites required to complete the constellation will be reduced. A nominal plan is to begin implementation in FY'03 with launches in 2007. NASA is presently engaged in advanced mission studies and advanced instrument technology development related to the mission.

  11. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A jogger runs past a sign welcoming NASA and other visitors to Minamitane Town on Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  12. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    A Japanese H-IIA rocket with the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory onboard, is seen on launch pad 1 of the Tanegashima Space Center, Friday, Feb. 28, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  13. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-28

    A Japanese H-IIA rocket with the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory onboard, is seen on launch pad 1 of the Tanegashima Space Center, Friday, Feb. 28, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  14. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    A Japanese H-IIA rocket with the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory onboard is seen on launch pad 1 of the Tanegashima Space Center, Thursday, Feb. 27, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  15. The Status of NASA's Global Precipitation Measurement (GPM) Mission 26 Months After Launch

    NASA Astrophysics Data System (ADS)

    Jackson, Gail; Huffman, George

    2016-04-01

    Water is essential to our planet Earth. Knowing when, where and how precipitation falls is crucial for understanding the linkages between the Earth's water and energy cycles and is extraordinarily important for sustaining life on our planet during climate change. The Global Precipitation Measurement (GPM) Core Observatory spacecraft launched February 27, 2014, is the anchor to the GPM international satellite mission to unify and advance precipitation measurements from a constellation of research and operational sensors to provide "next-generation" precipitation products [1-2]. GPM is currently a partnership between NASA and the Japan Aerospace Exploration Agency (JAXA). The unique 65o non-Sun-synchronous orbit at an altitude of 407 km for the GPM Core Observatory allows for highly sophisticated observations of precipitation in the mid-latitudes where a majority of the population lives. Indeed, the GOM Core Observatory serves as the cornerstone, as a physics observatory and a calibration reference to improve precipitation measurements by a constellation of 8 or more dedicated and operational, U.S. and international passive microwave sensors. GPM's requirements are to measure rain rates from 0.2 to 110 mm/hr and to detect and estimate falling snow. GPM has several retrieval product levels ranging from raw instrument data to Core and partner swath precipitation estimates to gridded and accumulated products and finally to multi-satellite merged products. The latter merged product, called IMERG, is available with a 5-hour latency with temporal resolution of 30 minutes and spatial resolution of 0.1o x 0.1o (~10km x 10km) grid box. Some products have a 1-hour latency for societal applications such as floods, landslides, hurricanes, blizzards, and typhoons and all have late-latency high-quality science products. The GPM mission is well on its way to providing essential data on precipitation (rain and snow) from micro to local to global scales via providing precipitation

  16. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    The NASA Global Precipitation Measurement (GPM) Core Observatory team is seen during an all-day launch simulation for GPM at the Spacecraft Test and Assembly Building 2 (STA2), Saturday, Feb. 22, 2014, Tanegashima Space Center (TNSC), Tanegashima Island, Japan. Japan Aerospace Exploration Agency (JAXA) plans to launch an H-IIA rocket carrying the GPM Core Observatory on Feb. 28, 2014. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  17. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is seen as it rolls out to launch pad 1 of the Tanegashima Space Center, Thursday, Feb. 27, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  18. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    NASA GPM Safety Quality and Assurance, Shirley Dion, and, NASA GPM Quality and Assurance, Larry Morgan, monitor the all-day launch simulation for the Global Precipitation Measurement (GPM) Core Observatory at the Spacecraft Test and Assembly Building 2 (STA2), Saturday, Feb. 22, 2014, Tanegashima Space Center (TNSC), Tanegashima Island, Japan. Japan Aerospace Exploration Agency (JAXA) plans to launch an H-IIA rocket carrying the GPM Core Observatory on Feb. 28, 2014. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  19. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    The sun sets just outside the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  20. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    The Takesaki Observation Center is seen at the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  1. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    The entrance sign to the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) is seen a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  2. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is seen in this 10 second exposure as it rolls out to launch pad 1 of the Tanegashima Space Center, Thursday, Feb. 27, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  3. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    The launch pads at the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center are seen a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  4. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-26

    A daruma doll is seen on the desk of Masahiro Kojima, GPM Dual-frequency Precipitation Radar project manager, Japan Aerospace Exploration Agency (JAXA), at the Tanegashima Space Cener's Range Control Center (RCC), Wednesday, Feb. 26, 2014, Tanegashima, Japan. One eye of the daruma doll is colored in when a goal is set and the second eye is colored in at the completion of the goal. JAXA plans to launch an H-IIA rocket carrying the NASA-JAXA, Global Precipitation Measurement (GPM) Core Observatory from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  5. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2017-12-08

    Gail Skofronick-Jackson, NASA GPM Project Scientist, talks during a science briefing for the launch of the Global Precipitation Measurement (GPM) Core Observatory aboard an H-IIA rocket, Wednesday, Feb. 26, 2014, Tanegashima Space Center, Japan. Launch is scheduled for early in the morning of Feb. 28 Japan time. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  6. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A sign guides travelers to the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), Saturday, Feb. 22, 2014, Tanegashima Island, Japan. A launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory is planned for Feb. 28, 2014 from the space center. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  7. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    The Tanegashima Space Center (TNSC) lighthouse is seen on Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  8. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    A light house and weather station is seen at the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  9. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    Topiary shaped into the logo of the Japan Aerospace Exploration Agency (JAXA) is seen at the Tanegashima Space Center (TNSC) a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  10. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    A full size model of an H-II rocket is seen at the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) visitors center a week ahead of the planned launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  11. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A roadside sign announces the upcoming launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Saturday, Feb. 22, 2014, Minamitane Town, Tanegashima Island, Japan. Once launched from the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC) the NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. The launch is planned for Feb. 28, 2014. Photo Credit: (NASA/Bill Ingalls)

  12. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    Roadside flags welcome the NASA team and visitors to Minamitame Town, one of only a few small towns located outside of the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), where the launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory will take place in the next week, Saturday, Feb. 22, 2014, Tanegashima Island, Japan. The NASA-Japan Aerospace Exploration Agency (JAXA) GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. The launch is planned for Feb. 28, 2014. Photo Credit: (NASA/Bill Ingalls)

  13. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-28

    Caroline Kennedy, U.S. Ambassador Extraordinary and Plenipotentiary to Japan, congratulated both NASA and the Japan Aerospace Exploration Agency (JAXA) Global Precipitation Measurement (GPM) Core Observatory teams and noted it was an example of over 40 years of strong U.S. and Japan relations, Friday Feb. 28, 2014, Tanegashima Space Center (TNSC) Tanegashima, Japan. The Ambassador witnessed the launch of a Japanese H-IIA rocket carrying the NASA-JAXA, GPM Core Observatory. The GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  14. Global Precipitation Measurement (GPM) Mission Development Status

    NASA Technical Reports Server (NTRS)

    Azarbarzin, Ardeshir Art

    2011-01-01

    Mission Objective: (1) Improve scientific understanding of the global water cycle and fresh water availability (2) Improve the accuracy of precipitation forecasts (3) Provide frequent and complete sampling of the Earth s precipitation Mission Description (Class B, Category I): (1) Constellation of spacecraft provide global precipitation measurement coverage (2) NASA/JAXA Core spacecraft: Provides a microwave radiometer (GMI) and dual-frequency precipitation radar (DPR) to cross-calibrate entire constellation (3) 65 deg inclination, 400 km altitude (4) Launch July 2013 on HII-A (5) 3 year mission (5 year propellant) (6) Partner constellation spacecraft.

  15. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A surfer navigates the waters in front of the Tanegashima Space Center (TNSC) launch pads on Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  16. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A rocket is seen at the entrance to the visitor's center of the Tanegashima Space Center (TNSC), Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  17. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A car drives on the twisty roads that hug the coast line of the Tanegashima Space Center (TNSC) on Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  18. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    Envelopes with stamps depicting various space missions are shown at the visitor's center of the Tanegashima Space Center (TNSC), Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  19. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-21

    A sign at an overlook, named Rocket Hill, helps viewers identify the various facilities of the Tanegashima Space Center (TNSC), including launch pad 1 that will be used Feb. 28, 2014 for the launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory, Friday, Feb. 21, 2014, Tanegashima Island, Japan. The NASA-Japan Aerospace Exploration Agency (JAXA) GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  20. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A small roadside park honoring spaceflight is seen in Minamitane Town, Saturday Feb. 22, 2014, Tanegashima Island, Japan. Minamitane Town is located not far from the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), where the launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory is planned for Feb. 28, 2014. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  1. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    A building designed to look like a space shuttle is seen a few kilometers outside of the Tanegashima Space Center (TNSC), Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  2. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    Space themed signs are seen along the roads to and from the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), Saturday, Feb. 22, 2014, Tanegashima Island, Japan. A launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory is planned for Feb. 28, 2014 from the space center. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  3. Estimating Global Precipitation for Science and Application

    NASA Technical Reports Server (NTRS)

    Huffman, George J.

    2013-01-01

    Over the past two decades there has been vigorous development in the satellite assets and the algorithms necessary to estimate precipitation around the globe. In particular the highly successful joint NASAJAXA Tropical Rainfall Measuring Mission (TRMM) and the upcoming Global Precipitation Measurement (GPM) mission, also joint between NASA and JAXA, have driven these issues. At the same time, the long-running Global Precipitation Climatology Project (GPCP) continues to extend a stable, climate-oriented view of global precipitation. This talk will provide an overview of these projects and the wider international community of precipitation datasets, sketch plans for next-generation products, and provide some examples of the best use for the different products. One key lesson learned is that different data sets are needed to address the variety of issues that need precipitation data, including detailed 3-D views of hurricanes, flash flood forecasting, drought analysis, and global change.

  4. Global Precipitation Measurement. Report 7; Bridging from TRMM to GPM to 3-Hourly Precipitation Estimates

    NASA Technical Reports Server (NTRS)

    Shepherd, J. Marshall; Smith, Eric A.; Adams, W. James (Editor)

    2002-01-01

    Historically, multi-decadal measurements of precipitation from surface-based rain gauges have been available over continents. However oceans remained largely unobserved prior to the beginning of the satellite era. Only after the launch of the first Defense Meteorological Satellite Program (DMSP) satellite in 1987 carrying a well-calibrated and multi-frequency passive microwave radiometer called Special Sensor Microwave/Imager (SSM/I) have systematic and accurate precipitation measurements over oceans become available on a regular basis; see Smith et al. (1994, 1998). Recognizing that satellite-based data are a foremost tool for measuring precipitation, NASA initiated a new research program to measure precipitation from space under its Mission to Planet Earth program in the 1990s. As a result, the Tropical Rainfall Measuring Mission (TRMM), a collaborative mission between NASA and NASDA, was launched in 1997 to measure tropical and subtropical rain. See Simpson et al. (1996) and Kummerow et al. (2000). Motivated by the success of TRMM, and recognizing the need for more comprehensive global precipitation measurements, NASA and NASDA have now planned a new mission, i.e., the Global Precipitation Measurement (GPM) mission. The primary goal of GPM is to extend TRMM's rainfall time series while making substantial improvements in precipitation observations, specifically in terms of measurement accuracy, sampling frequency, Earth coverage, and spatial resolution. This report addresses four fundamental questions related to the transition from current to future global precipitation observations as denoted by the TRMM and GPM eras, respectively.

  5. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    Caroline Bouvier Kennedy, U.S. Ambassador Extraordinary and Plenipotentiary to Japan, right, is welcomed by Japan Aerospace Exploration Agency (JAXA), President, Naoki Okumura, at the Tanegashima Space Center Visitors Center on Thursday, Feb. 27, 2014, Tanegashima, Japan. The Ambassador is visiting the space center and hopes to witness the planned launch of a Japanese H-IIA rocket carrying the NASA-JAXA, Global Precipitation Measurement (GPM) Core Observatory. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  6. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    Shrubs and flowers in the shape of a space shuttle, star and planet are seen just outside the visitor's center of the Tanegashima Space Center (TNSC), Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  7. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-26

    Chief officers from Mitsubishi Heavy Industries, Ltd., the Japan Aerospace Exploration Agency (JAXA) and NASA met on Wednesday, Feb. 26, 2014 in the Range Control Center (RCC) of the Tanegashima Space Center, Japan, to review the readiness of the Global Precipitation Measurement (GPM) Core Observatory for launch. The spacecraft is scheduled to launch aboard an H-IIA rocket early on the morning of Feb. 28 Japan time. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  8. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    Tourist photograph themselves in astronaut space suites next to a cardboard cutout of Japan Aerospace Exploration Agency (JAXA) Astronaut Akihiko Hoshide at the visitor's center of the Tanegashima Space Center (TNSC), Sunday, Feb. 23, 2014, Tanegashima Island, Japan. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  9. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    Caroline Bouvier Kennedy, U.S. Ambassador Extraordinary and Plenipotentiary to Japan, center, tours the Tanegashima Space Center, Visitors Center with Japan Aerospace Exploration Agency (JAXA), President, Naoki Okumura, right, on Thursday, Feb. 27, 2014, Tanegashima, Japan. The Ambassador visiting the space center and hopes to witness the planned launch of a Japanese H-IIA rocket carrying the NASA-JAXA, Global Precipitation Measurement (GPM) Core Observatory. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  10. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    Caroline Kennedy, U.S. Ambassador Extraordinary and Plenipotentiary to Japan, right, is welcomed by Japan Aerospace Exploration Agency (JAXA), President, Naoki Okumura, at the Tanegashima Space Center Visitors Center on Thursday, Feb. 27, 2014, Tanegashima, Japan. The Ambassador is visiting the space center and hopes to witness the planned launch of a Japanese H-IIA rocket carrying the NASA-JAXA, Global Precipitation Measurement (GPM) Core Observatory. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  11. The Global Precipitation Measurement (GPM) Project

    NASA Technical Reports Server (NTRS)

    Azarbarzin, Ardeshir; Carlisle, Candace

    2010-01-01

    The Global Precipitation Measurement (GP!v1) mission is an international cooperative effort to advance the understanding of the physics of the Earth's water and energy cycle. Accurate and timely knowledge of global precipitation is essential for understanding the weather/climate/ecological system, for improving our ability to manage freshwater resources, and for predicting high-impact natural hazard events including floods, droughts, extreme weather events, and landslides. The GPM Core Observatory will be a reference standard to uniformly calibrate data from a constellation of spacecraft with passive microwave sensors. GPM is being developed under a partnership between the United States (US) National Aeronautics and Space Administration (NASA) and the Japanese Aerospace and Exploration Agency (JAXA). NASA's Goddard Space Flight Center (GSFC), in Greenbelt, MD is developing the Core Observatory, two GPM Microwave Imager (GMI) instruments, Ground Validation System and Precipitation Processing System for the GPM mission. JAXA will provide a Dual-frequency Precipitation Radar (DPR) for installation on the Core satellite and launch services for the Core Observatory. The second GMI instrument will be flown on a partner-provided spacecraft. Other US agencies and international partners contribute to the GPM mission by providing precipitation measurements obtained from their own spacecraft and/or providing ground-based precipitation measurements to support ground validation activities. The Precipitation Processing System will provide standard data products for the mission.

  12. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A sign with a model of the Japanese H-IIB rocket welcomes visitors to Minamitane Town, one of only a few small towns located outside of the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), where the launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory will take place in the next week, Saturday, Feb. 22, 2014, Tanegashima Island, Japan. The NASA-Japan Aerospace Exploration Agency (JAXA) GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  13. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A roadside sign shows visitors of Minamitane Town various locations for activities, including the viewing of rocket launches from the Japan Aerospace Exploration Agency’s (JAXA) Tanegashima Space Center (TNSC), where the launch of an H-IIA rocket carrying the Global Precipitation Measurement (GPM) Core Observatory is scheduled to take place in the next week, Saturday, Feb. 22, 2014, Minamitane Town, Tanegashima Island, Japan. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Launch is planned for Feb. 28, 2014. Photo Credit: (NASA/Bill Ingalls)

  14. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-27

    A Mitsubishi Heavy Industries (HMI) H-IIA rocket with the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory onboard is during roll out at the Tanegashima Space Center, Thursday, Feb. 27, 2014, Tanegashima, Japan. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Credit: Mitsubishi Heavy Industries, Ltd. NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

  15. Measurement of Global Precipitation

    NASA Technical Reports Server (NTRS)

    Flaming, Gilbert Mark

    2004-01-01

    The Global Precipitation Measurement (GPM) Program is an international cooperative effort whose objectives are to (a) obtain increased understanding of rainfall processes, and (b) make frequent rainfall measurements on a global basis. The National Aeronautics and Space Administration (NASA) of the United States and the Japanese Aviation and Exploration Agency (JAXA) have entered into a cooperative agreement for the formulation and development of GPM. This agreement is a continuation of the partnership that developed the highly successful Tropical Rainfall Measuring Mission (TRMM) that was launched in November 1997; this mission continues to provide valuable scientific and meteorological information on rainfall and the associated processes. International collaboration on GPM from other space agencies has been solicited, and discussions regarding their participation are currently in progress. NASA has taken lead responsibility for the planning and formulation of GPM, Key elements of the Program to be provided by NASA include a Core satellite bus instrumented with a multi-channel microwave radiometer, a Ground Validation System and a ground-based Precipitation Processing System (PPS). JAXA will provide a Dual-frequency Precipitation Radar for installation on the Core satellite and launch services. Other United States agencies and international partners may participate in a number of ways, such as providing rainfall measurements obtained from their own national space-borne platforms, providing local rainfall measurements to support the ground validation activities, or providing hardware or launch services for GPM constellation spacecraft. This paper will present an overview of the current planning for the GPM Program, and discuss in more detail the status of the lead author's primary responsibility, development and acquisition of the GPM Microwave Imager.

  16. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-22

    A daruma doll is seen amongst the NASA GPM Mission launch team in the Spacecraft Test and Assembly Building 2 (STA2) during the all-day launch simulation for the Global Precipitation Measurement (GPM) Core Observatory, Saturday, Feb. 22, 2014, Tanegashima Space Center (TNSC), Tanegashima Island, Japan. One eye of the daruma doll is colored in when a goal is set, in this case a successful launch of GPM, and the second eye is colored in at the completion of the goal. Japan Aerospace Exploration Agency (JAXA) plans to launch an H-IIA rocket carrying the GPM Core Observatory on Feb. 28, 2014. The NASA-JAXA GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  17. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-26

    Members of the weather team prepare reports for the Global Precipitation Measurement (GPM) Core Observatory Launch Readiness Review (LRR) with Chief officers from Mitsubishi Heavy Industries, Ltd., the Japan Aerospace Exploration Agency (JAXA), and NASA, on Wednesday, Feb. 26, 2014 at Tanegashima Space Center, Japan. The GPM spacecraft is scheduled to launch aboard an H-IIA rocket early on the morning of Feb. 28 Japan time. At the meeting in the space center's Range Control Center, all preparations to date were reviewed and approval was given to proceed with launch on schedule. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  18. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-26

    Art Azarbarzin, NASA Global Precipitation Measurement (GPM) project manager, left, participates in the GPM Launch Readiness Review (LRR) along with Chief officers from Mitsubishi Heavy Industries, Ltd., and the Japan Aerospace Exploration Agency (JAXA) on Wednesday, Feb. 26, 2014 at Tanegashima Space Center, Japan. The spacecraft is scheduled to launch aboard an H-IIA rocket early on the morning of Feb. 28 Japan time. At the meeting in the space center's Range Control Center, all preparations to date were reviewed and approval was given to proceed with launch on schedule. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  19. Improving Global Precipitation Product Access at the GES DISC

    NASA Technical Reports Server (NTRS)

    Liu, Z.; Vollmer, B.; Savtchenko, A.; Ostrenga, D.; DeShong, B.; Fang, F.; Albayrak, R,; Sherman, E.; Greene, M.; Li, A.; hide

    2018-01-01

    The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) has been actively and continually engaged in improving the access to and use of Global Precipitation Measurement (GPM), Tropical Precipitation Measuring Mission (TRMM), and other precipitation data, including the following new services and Ongoing development activities: Updates on GPM products and data services, New features in Giovanni, Ongoing development activities; and Precipitation product and service outreach activities.

  20. Global Precipitation Measurement (GPM) Mission Products and Services at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC)

    NASA Astrophysics Data System (ADS)

    Ostrenga, D.; Liu, Z.; Vollmer, B.; Teng, W. L.; Kempler, S. J.

    2014-12-01

    On February 27, 2014, the NASA Global Precipitation Measurement (GPM) mission was launched to provide the next-generation global observations of rain and snow (http://pmm.nasa.gov/GPM). The GPM mission consists of an international network of satellites in which a GPM "Core Observatory" satellite carries both active and passive microwave instruments to measure precipitation and serve as a reference standard, to unify precipitation measurements from a constellation of other research and operational satellites. The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) hosts and distributes GPM data within the NASA Earth Observation System Data Information System (EOSDIS). The GES DISC is home to the data archive for the GPM predecessor, the Tropical Rainfall Measuring Mission (TRMM). Over the past 16 years, the GES DISC has served the scientific as well as other communities with TRMM data and user-friendly services. During the GPM era, the GES DISC will continue to provide user-friendly data services and customer support to users around the world. GPM products currently and to-be available include the following: Level-1 GPM Microwave Imager (GMI) and partner radiometer products Goddard Profiling Algorithm (GPROF) GMI and partner products Integrated Multi-satellitE Retrievals for GPM (IMERG) products (early, late, and final) A dedicated Web portal (including user guides, etc.) has been developed for GPM data (http://disc.sci.gsfc.nasa.gov/gpm). Data services that are currently and to-be available include Google-like Mirador (http://mirador.gsfc.nasa.gov/) for data search and access; data access through various Web services (e.g., OPeNDAP, GDS, WMS, WCS); conversion into various formats (e.g., netCDF, HDF, KML (for Google Earth), ASCII); exploration, visualization, and statistical online analysis through Giovanni (http://giovanni.gsfc.nasa.gov); generation of value-added products; parameter and spatial subsetting; time aggregation; regridding

  1. Global Precipitation Measurement (GPM) Mission Products and Services at the NASA Goddard Earth Sciences Data and Information Services Center (GES DISC)

    NASA Technical Reports Server (NTRS)

    Ostrenga, D.; Liu, Z.; Vollmer, B.; Teng, W.; Kempler, S.

    2014-01-01

    On February 27, 2014, the NASA Global Precipitation Measurement (GPM) mission was launched to provide the next-generation global observations of rain and snow (http:pmm.nasa.govGPM). The GPM mission consists of an international network of satellites in which a GPM Core Observatory satellite carries both active and passive microwave instruments to measure precipitation and serve as a reference standard, to unify precipitation measurements from a constellation of other research and operational satellites. The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) hosts and distributes GPM data within the NASA Earth Observation System Data Information System (EOSDIS). The GES DISC is home to the data archive for the GPM predecessor, the Tropical Rainfall Measuring Mission (TRMM). Over the past 16 years, the GES DISC has served the scientific as well as other communities with TRMM data and user-friendly services. During the GPM era, the GES DISC will continue to provide user-friendly data services and customer support to users around the world. GPM products currently and to-be available include the following:Level-1 GPM Microwave Imager (GMI) and partner radiometer productsLevel-2 Goddard Profiling Algorithm (GPROF) GMI and partner productsLevel-3 daily and monthly productsIntegrated Multi-satellitE Retrievals for GPM (IMERG) products (early, late, and final) A dedicated Web portal (including user guides, etc.) has been developed for GPM data (http:disc.sci.gsfc.nasa.govgpm). Data services that are currently and to-be available include Google-like Mirador (http:mirador.gsfc.nasa.gov) for data search and access; data access through various Web services (e.g., OPeNDAP, GDS, WMS, WCS); conversion into various formats (e.g., netCDF, HDF, KML (for Google Earth), ASCII); exploration, visualization, and statistical online analysis through Giovanni (http:giovanni.gsfc.nasa.gov); generation of value-added products; parameter and spatial subsetting; time

  2. Global Precipitation Measurement (GPM) Mission Products and Services at the NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC)

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Ostrenga, D.; Vollmer, B.; Deshong, B.; Greene, M.; Teng, W.; Kempler, S. J.

    2015-01-01

    On February 27, 2014, the NASA Global Precipitation Measurement (GPM) mission was launched to provide the next-generation global observations of rain and snow (http:pmm.nasa.govGPM). The GPM mission consists of an international network of satellites in which a GPM Core Observatory satellite carries both active and passive microwave instruments to measure precipitation and serve as a reference standard, to unify precipitation measurements from a constellation of other research and operational satellites. The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) hosts and distributes GPM data within the NASA Earth Observation System Data Information System (EOSDIS). The GES DISC is home to the data archive for the GPM predecessor, the Tropical Rainfall Measuring Mission (TRMM). Over the past 16 years, the GES DISC has served the scientific as well as other communities with TRMM data and user-friendly services. During the GPM era, the GES DISC will continue to provide user-friendly data services and customer support to users around the world. GPM products currently and to-be available include the following: 1. Level-1 GPM Microwave Imager (GMI) and partner radiometer products. 2. Goddard Profiling Algorithm (GPROF) GMI and partner products. 3. Integrated Multi-satellitE Retrievals for GPM (IMERG) products. (early, late, and final)A dedicated Web portal (including user guides, etc.) has been developed for GPM data (http:disc.sci.gsfc.nasa.govgpm). Data services that are currently and to-be available include Google-like Mirador (http:mirador.gsfc.nasa.gov) for data search and access; data access through various Web services (e.g., OPeNDAP, GDS, WMS, WCS); conversion into various formats (e.g., netCDF, HDF, KML (for Google Earth), ASCII); exploration, visualization, and statistical online analysis through Giovanni (http:giovanni.gsfc.nasa.gov); generation of value-added products; parameter and spatial subsetting; time aggregation; regridding; data

  3. Global Precipitation Measurement (GPM) Mission

    NASA Image and Video Library

    2014-02-23

    Minamitane elementary school girls pose for a photo in front of a sign featuring the town's mascot "Chuta-kun", Sunday, Feb. 23, 2014, Tanegashima Island, Japan. The Chuta-kun mascot rides a rocket and has guns on the side of his helmet to show the areas history as the site of the first known contact of Europe and the Japanese, in 1543 and the introduction of the gun. A Japanese H-IIA rocket carrying the NASA-Japan Aerospace Exploration Agency (JAXA), Global Precipitation Measurement (GPM) Core Observatory is planned for launch from the space center on Feb. 28, 2014. Once launched, the GPM spacecraft will collect information that unifies data from an international network of existing and future satellites to map global rainfall and snowfall every three hours. Photo Credit: (NASA/Bill Ingalls)

  4. TRMM Precipitation Application Examples Using Data Services at NASA GES DISC

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Ostrenga, D.; Teng, W.; Kempler, S.; Greene, M.

    2012-01-01

    Data services to support precipitation applications are important for maximizing the NASA TRMM (Tropical Rainfall Measuring Mission) and the future GPM (Global Precipitation Mission) mission's societal benefits. TRMM Application examples using data services at the NASA GES DISC, including samples from users around the world will be presented in this poster. Precipitation applications often require near-real-time support. The GES DISC provides such support through: 1) Providing near-real-time precipitation products through TOVAS; 2) Maps of current conditions for monitoring precipitation and its anomaly around the world; 3) A user friendly tool (TOVAS) to analyze and visualize near-real-time and historical precipitation products; and 4) The GES DISC Hurricane Portal that provides near-real-time monitoring services for the Atlantic basin. Since the launch of TRMM, the GES DISC has developed data services to support precipitation applications around the world. In addition to the near-real-time services, other services include: 1) User friendly TRMM Online Visualization and Analysis System (TOVAS; URL: http://disc2.nascom.nasa.gov/Giovanni/tovas/); 2) Mirador (http://mirador.gsfc.nasa.gov/), a simplified interface for searching, browsing, and ordering Earth science data at GES DISC. Mirador is designed to be fast and easy to learn; 3) Data via OPeNDAP (http://disc.sci.gsfc.nasa.gov/services/opendap/). The OPeNDAP provides remote access to individual variables within datasets in a form usable by many tools, such as IDV, McIDAS-V, Panoply, Ferret and GrADS; and 4) The Open Geospatial Consortium (OGC) Web Map Service (WMS) (http://disc.sci.gsfc.nasa.gov/services/wxs_ogc.shtml). The WMS is an interface that allows the use of data and enables clients to build customized maps with data coming from a different network.

  5. Relationship of Global Precipitation Measurement (GPM) Mission to Global Change Research

    NASA Technical Reports Server (NTRS)

    Smith, Eric A.; Starr, David OC. (Technical Monitor)

    2002-01-01

    In late 2001, the Global Precipitation Measurement (GPM) mission was approved as a new start by the National Aeronautics and Space Administration (NASA). This new mission is motivated by a number of scientific questions that are posed over a range of space and time scales that generally fall within the discipline of the global water and energy cycle (GWEC). Recognizing that satellite rainfall datasets are now a foremost tool for understanding global climate variability out to decadal scales and beyond, for improving weather forecasting, and for producing better predictions of hydrometeorological processes including short-term hazardous flooding and seasonal fresh water resources assessment, a comprehensive and internationally sanctioned global measuring strategy has led to the GPM mission. The GPM mission plans to expand the scope of rainfall measurement through use of a multi-member satellite constellation that will be contributed by a number of world nations. This talk overviews the GPM scientific research program that has been fostered within NASA, then focuses on scientific progress that is being made in various research areas in the course of the mission formulation phase that are of interest to the global change scientific community. This latter part of the talk addresses research issues that have become central to the GPM science implementation plan concerning: (1) the rate of global water cycling through the atmosphere and surface and the relationship of precipitation variability to the sustained rate of the water cycle; (2) the relationship between climate change and cloud macrophysical- microphysical processes; and (3) the general improvement in measuring precipitation at the fundamental microphysical level that will take place during the GPM era and an explanation of how these improvements are expected to come about.

  6. Global Precipitation Measurement (GPM) launch, commissioning, and early operations

    NASA Astrophysics Data System (ADS)

    Neeck, Steven P.; Kakar, Ramesh K.; Azarbarzin, Ardeshir A.; Hou, Arthur Y.

    2014-10-01

    The Global Precipitation Measurement (GPM) mission is an international partnership co-led by NASA and the Japan Aerospace Exploration Agency (JAXA). The mission centers on the GPM Core Observatory and consists of an international network, or constellation, of additional satellites that together will provide next-generation global observations of precipitation from space. The GPM constellation will provide measurements of the intensity and variability of precipitation, three-dimensional structure of cloud and storm systems, the microphysics of ice and liquid particles within clouds, and the amount of water falling to Earth's surface. Observations from the GPM constellation, combined with land surface data, will improve weather forecast models; climate models; integrated hydrologic models of watersheds; and forecasts of hurricanes/typhoons/cylcones, landslides, floods and droughts. The GPM Core Observatory carries an advanced radar/radiometer system and serves as a reference standard to unify precipitation measurements from all satellites that fly within the constellation. The GPM Core Observatory improves upon the capabilities of its predecessor, the NASA-JAXA Tropical Rainfall Measuring Mission (TRMM), with advanced science instruments and expanded coverage of Earth's surface. The GPM Core Observatory carries two instruments, the NASA-supplied GPM Microwave Imager (GMI) and the JAXA-supplied Dual-frequency Precipitation Radar (DPR). The GMI measures the amount, size, intensity and type of precipitation, from heavy-tomoderate rain to light rain and snowfall. The DPR provides three-dimensional profiles and intensities of liquid and solid precipitation. The French Centre National d'Études Spatiales (CNES), the Indian Space Research Organisation (ISRO), the U.S. National Oceanic and Atmospheric Administration (NOAA), the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), and the U.S. Department of Defense are partners with NASA and

  7. Global Precipitation Measurement (GPM) Safety Inhibit Timeline Tool

    NASA Technical Reports Server (NTRS)

    Dion, Shirley

    2012-01-01

    The Global Precipitation Measurement (GPM) Observatory is a joint mission under the partnership by National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA), Japan. The NASA Goddard Space Flight Center (GSFC) has the lead management responsibility for NASA on GPM. The GPM program will measure precipitation on a global basis with sufficient quality, Earth coverage, and sampling to improve prediction of the Earth's climate, weather, and specific components of the global water cycle. As part of the development process, NASA built the spacecraft (built in-house at GSFC) and provided one instrument (GPM Microwave Imager (GMI) developed by Ball Aerospace) JAXA provided the launch vehicle (H2-A by MHI) and provided one instrument (Dual-Frequency Precipitation Radar (DPR) developed by NTSpace). Each instrument developer provided a safety assessment which was incorporated into the NASA GPM Safety Hazard Assessment. Inhibit design was reviewed for hazardous subsystems which included the High Gain Antenna System (HGAS) deployment, solar array deployment, transmitter turn on, propulsion system release, GMI deployment, and DPR radar turn on. The safety inhibits for these listed hazards are controlled by software. GPM developed a "pathfinder" approach for reviewing software that controls the electrical inhibits. This is one of the first GSFC in-house programs that extensively used software controls. The GPM safety team developed a methodology to document software safety as part of the standard hazard report. As part of this process a new tool "safety inhibit time line" was created for management of inhibits and their controls during spacecraft buildup and testing during 1& Tat GSFC and at the Range in Japan. In addition to understanding inhibits and controls during 1& T the tool allows the safety analyst to better communicate with others the changes in inhibit states with each phase of hardware and software testing. The tool was very

  8. Successes with the Global Precipitation Measurement (GPM) Mission

    NASA Technical Reports Server (NTRS)

    Skofronick-Jackson, Gail; Huffman, George; Stocker, Erich; Petersen, Walter

    2016-01-01

    Water is essential to our planet Earth. Knowing when, where and how precipitation falls is crucial for understanding the linkages between the Earth's water and energy cycles and is extraordinarily important for sustaining life on our planet during climate change. The Global Precipitation Measurement (GPM) Core Observatory spacecraft launched February 27, 2014, is the anchor to the GPM international satellite mission to unify and advance precipitation measurements from a constellation of research and operational sensors to provide "next-generation" precipitation products. GPM is currently a partnership between NASA and the Japan Aerospace Exploration Agency (JAXA). Status and successes in terms of spacecraft, instruments, retrieval products, validation, and impacts for science and society will be presented. Precipitation, microwave, satellite

  9. Current Status of Japanese Global Precipitation Measurement (GPM) Research Project

    NASA Astrophysics Data System (ADS)

    Kachi, Misako; Oki, Riko; Kubota, Takuji; Masaki, Takeshi; Kida, Satoshi; Iguchi, Toshio; Nakamura, Kenji; Takayabu, Yukari N.

    2013-04-01

    The Global Precipitation Measurement (GPM) mission is a mission led by the Japan Aerospace Exploration Agency (JAXA) and the National Aeronautics and Space Administration (NASA) under collaboration with many international partners, who will provide constellation of satellites carrying microwave radiometer instruments. The GPM Core Observatory, which carries the Dual-frequency Precipitation Radar (DPR) developed by JAXA and the National Institute of Information and Communications Technology (NICT), and the GPM Microwave Imager (GMI) developed by NASA. The GPM Core Observatory is scheduled to be launched in early 2014. JAXA also provides the Global Change Observation Mission (GCOM) 1st - Water (GCOM-W1) named "SHIZUKU," as one of constellation satellites. The SHIZUKU satellite was launched in 18 May, 2012 from JAXA's Tanegashima Space Center, and public data release of the Advanced Microwave Scanning Radiometer 2 (AMSR2) on board the SHIZUKU satellite was planned that Level 1 products in January 2013, and Level 2 products including precipitation in May 2013. The Japanese GPM research project conducts scientific activities on algorithm development, ground validation, application research including production of research products. In addition, we promote collaboration studies in Japan and Asian countries, and public relations activities to extend potential users of satellite precipitation products. In pre-launch phase, most of our activities are focused on the algorithm development and the ground validation related to the algorithm development. As the GPM standard products, JAXA develops the DPR Level 1 algorithm, and the NASA-JAXA Joint Algorithm Team develops the DPR Level 2 and the DPR-GMI combined Level2 algorithms. JAXA also develops the Global Rainfall Map product as national product to distribute hourly and 0.1-degree horizontal resolution rainfall map. All standard algorithms including Japan-US joint algorithm will be reviewed by the Japan-US Joint

  10. Newly Released TRMM Version 7 Products, Other Precipitation Datasets and Data Services at NASA GES DISC

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Ostrenga, D.; Teng, W. L.; Trivedi, Bhagirath; Kempler, S.

    2012-01-01

    The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) is home of global precipitation product archives, in particular, the Tropical Rainfall Measuring Mission (TRMM) products. TRMM is a joint U.S.-Japan satellite mission to monitor tropical and subtropical (40 S - 40 N) precipitation and to estimate its associated latent heating. The TRMM satellite provides the first detailed and comprehensive dataset on the four dimensional distribution of rainfall and latent heating over vastly undersampled tropical and subtropical oceans and continents. The TRMM satellite was launched on November 27, 1997. TRMM data products are archived at and distributed by GES DISC. The newly released TRMM Version 7 consists of several changes including new parameters, new products, meta data, data structures, etc. For example, hydrometeor profiles in 2A12 now have 28 layers (14 in V6). New parameters have been added to several popular Level-3 products, such as, 3B42, 3B43. Version 2.2 of the Global Precipitation Climatology Project (GPCP) dataset has been added to the TRMM Online Visualization and Analysis System (TOVAS; URL: http://disc2.nascom.nasa.gov/Giovanni/tovas/), allowing online analysis and visualization without downloading data and software. The GPCP dataset extends back to 1979. Version 3 of the Global Precipitation Climatology Centre (GPCC) monitoring product has been updated in TOVAS as well. The product provides global gauge-based monthly rainfall along with number of gauges per grid. The dataset begins in January 1986. To facilitate data and information access and support precipitation research and applications, we have developed a Precipitation Data and Information Services Center (PDISC; URL: http://disc.gsfc.nasa.gov/precipitation). In addition to TRMM, PDISC provides current and past observational precipitation data. Users can access precipitation data archives consisting of both remote sensing and in-situ observations. Users can use these data

  11. Relationship of Global Precipitation Measurement (GPM) Mission to Global Change Research

    NASA Astrophysics Data System (ADS)

    Smith, Eric A.

    start by the National Aeronautics and Space Administration (NASA). This new mission is motivated by a number of scientific questions that are posed over a range of space and time scales that generally fall within the discipline of the global water and energy cycle (GWEC). climate variability out to decadal scales and beyond, for improving weather forecasting, and for producing better predictions of hydrometeorological processes including short-term hazardous flooding and seasonal fresh water resources assessment, a comprehensive and internationally- sanctioned global measuring strategy has led to the GPM mission. The GPM mission plans to expand the scope of rainfall measurement through use of a multi-member satellite constellation that will be contributed by a number of world nations. NASA, then focuses on scientific progress that is being made in various research areas in the course of the mission formulation phase that are of interest to the global change scientific community. This latter part of the talk addresses research issues that have become central to the GPM science implementation plan concerning: (1) the rate of global water cycling through the atmosphere and surface and the relationship of precipitation variability to the sustained rate of the water cycle; (2) the relationship between climate change and cloud macrophysical- microphysical processes; and (3) the general improvement in measuring precipitation at the fundamental microphysical level that will take place during the GPM era and an explanation of how these improvements are expected to come about.

  12. Science Formulation of Global Precipitation Mission (gpm)

    NASA Astrophysics Data System (ADS)

    Smith, Eric A.

    In late 2001, the Global Precipitation Measurement (GPM) mission was approved as a new start by the National Aeronautics and Space Administration (NASA). The new mission, which is now in its formulation phase, is motivated by a number of scientific questions that are posed over a range of space and time scales that generally fall within the discipline of the global water and energy cycle (GWEC), although not restricted to that branch of research. Recognizing that satellite rainfall datasets are now a foremost tool for understanding global climate variability out to decadal scales and beyond, for improving weather forecasting, and for producing better predictions of hydrometeorological processes including short-term hazardous flooding and seasonal fresh water resources assessment, a comprehensive and internationally-sanctioned global measuring strategy has led to the GPM mission. The GPM mission plans to expand the scope of rainfall measurement through use of a multi-member satellite constellation that will be contributed by a number of world nations. This talk overviews the GPM scientific research program that has been fostered within NASA, then focuses on scientific progress that is being made in various areas in the course of the mission formulation phase that are of interest to the Natural Hazards scientific community. This latter part of the talk addresses research issues that have become central to the GPM science implementation plan concerning the rate of the global water cycling, cloud macrophysical-microphysical processes of flood-producing storms, and the general improvement in measuring precipitation at the fundamental microphysical level.

  13. Science Formulation of Global Precipitation Mission (GPM)

    NASA Technical Reports Server (NTRS)

    Smith, Eric A.; Mehta, Amita; Shepherd, Marshall; Starr, David O. (Technical Monitor)

    2002-01-01

    In late 2001, the Global Precipitation Measurement (GPM) mission was approved as a new start by the National Aeronautics and Space Administration (NASA). The new mission, which is now in its formulation phase, is motivated by a number of scientific questions that are posed over a range of space and time scales that generally fall within the discipline of the global water and energy cycle (GWEC), although not restricted to that branch of research. Recognizing that satellite rainfall datasets are now a foremost tool for understanding global climate variability out to decadal scales and beyond, for improving weather forecasting, and for producing better predictions of hydrometeorological processes including short-term hazardous flooding and seasonal fresh water resources assessment, a comprehensive and internationally sanctioned global measuring strategy has led to the GPM mission. The GPM mission plans to expand the scope of rainfall measurement through use of a multi-member satellite constellation that will be contributed by a number of world nations. This talk overviews the GPM scientific research program that has been fostered within NASA, then focuses on scientific progress that is being made in various areas in the course of the mission formulation phase that are of interest to the Natural Hazards scientific community. This latter part of the talk addresses research issues that have become central to the GPM science implementation plan concerning the rate of the global water cycling, cloud macrophysical-microphysical processes of flood-producing storms, and the general improvement in measuring precipitation at the fundamental microphysical level.

  14. The Global Precipitation Measurement Mission

    NASA Astrophysics Data System (ADS)

    Jackson, Gail

    2014-05-01

    The Global Precipitation Measurement (GPM) mission's Core satellite, scheduled for launch at the end of February 2014, is well designed estimate precipitation from 0.2 to 110 mm/hr and to detect falling snow. Knowing where and how much rain and snow falls globally is vital to understanding how weather and climate impact both our environment and Earth's water and energy cycles, including effects on agriculture, fresh water availability, and responses to natural disasters. The design of the GPM Core Observatory is an advancement of the Tropical Rainfall Measuring Mission (TRMM)'s highly successful rain-sensing package [3]. The cornerstone of the GPM mission is the deployment of a Core Observatory in a unique 65o non-Sun-synchronous orbit to serve as a physics observatory and a calibration reference to improve precipitation measurements by a constellation of 8 or more dedicated and operational, U.S. and international passive microwave sensors. The Core Observatory will carry a Ku/Ka-band Dual-frequency Precipitation Radar (DPR) and a multi-channel (10-183 GHz) GPM Microwave Radiometer (GMI). The DPR will provide measurements of 3-D precipitation structures and microphysical properties, which are key to achieving a better understanding of precipitation processes and improving retrieval algorithms for passive microwave radiometers. The combined use of DPR and GMI measurements will place greater constraints on possible solutions to radiometer retrievals to improve the accuracy and consistency of precipitation retrievals from all constellation radiometers. Furthermore, since light rain and falling snow account for a significant fraction of precipitation occurrence in middle and high latitudes, the GPM instruments extend the capabilities of the TRMM sensors to detect falling snow, measure light rain, and provide, for the first time, quantitative estimates of microphysical properties of precipitation particles. The GPM Core Observatory was developed and tested at NASA

  15. Global Precipitation Measurement (GPM) Mission: Overview and Status

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.

    2012-01-01

    The Global Precipitation Measurement (GPM) Mission is an international satellite mission specifically designed to unify and advance precipitation measurements from a constellation of research and operational microwave sensors. NASA and JAXA will deploy a Core Observatory in 2014 to serve as a reference satellite to unify precipitation measurements from the constellation of sensors. The GPM Core Observatory will carry a Ku/Ka-band Dual-frequency Precipitation Radar (DPR) and a conical-scanning multi-channel (10-183 GHz) GPM Microwave Radiometer (GMI). The DPR will be the first dual-frequency radar in space to provide not only measurements of 3-D precipitation structures but also quantitative information on microphysical properties of precipitating particles. The DPR and GMI measurements will together provide a database that relates vertical hydrometeor profiles to multi-frequency microwave radiances over a variety of environmental conditions across the globe. This combined database will be used as a common transfer standard for improving the accuracy and consistency of precipitation retrievals from all constellation radiometers. For global coverage, GPM relies on existing satellite programs and new mission opportunities from a consortium of partners through bilateral agreements with either NASA or JAXA. Each constellation member may have its unique scientific or operational objectives but contributes microwave observations to GPM for the generation and dissemination of unified global precipitation data products. In addition to the DPR and GMI on the Core Observatory, the baseline GPM constellation consists of the following sensors: (1) Special Sensor Microwave Imager/Sounder (SSMIS) instruments on the U.S. Defense Meteorological Satellite Program (DMSP) satellites, (2) the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on the GCOM-W1 satellite of JAXA, (3) the Multi-Frequency Microwave Scanning Radiometer (MADRAS) and the multi-channel microwave humidity sounder

  16. Verifying Diurnal Variations of Global Precipitation in Three New Global Reanalyses

    NASA Astrophysics Data System (ADS)

    Wu, S.; Xie, P.; Sun, F.; Joyce, R.

    2013-12-01

    Diurnal variations of global precipitation and their representation in three sets of new generation global reanalyses are examined using the reprocessed and bias corrected CMORPH satellite precipitation estimates. The CMORPH satellite precipitation estimates are produced on an 8km by 8km grid over the globe (60oS-60oN) and in a 30-min interval covering a 15-year period from 1998 to the present through combining information from IR and PMW observations from all available satellites. Bias correction is performed for the raw CMORPH precipitation estimates through calibration against an gauge-based analysis over land and against the pentad GPCP analysis over ocean. The reanalyses examined here include the NCEP CFS reanalysis (CFSR), NASA/GSFC MERRA, and ECMWF Interim. The bias-corrected CMORPH is integrated from its original resolution to the reanalyses grid systems to facilitate the verification. First, quantitative agreements between the reanalysis precipitation fields and the CMORPH satellite observation are examined over the global domain. Precipitation structures associated with the large-scale topography are well reproduced when compared against the observation. Evolution of precipitation patterns with the development of transient weather systems are captured by the CFSR and two other reanalyses. The reanalyses tend to generate precipitation fields with wider raining areas and reduced intensity for heavy rainfall cases compared the observations over both land and ocean. Seasonal migration of global precipitation depicted in the 15-year CMORPH satellite observations is very well captured by the three sets of new reanalyses, although magnitude of precipitation is larger, especially in the CFSR, compared to that in the observations. In general, the three sets of new reanalyses exhibit substantial improvements in their performance to represent global precipitation distributions and variations. In particular, the new reanalyses produced precipitation variations of

  17. Measurement of Global Precipitation: Introduction to International GPM Program

    NASA Technical Reports Server (NTRS)

    Hwang, P.

    2004-01-01

    The Global Precipitation Measurement (GPM) Program is an international cooperative effort whose objectives are to (a) obtain better understanding of rainfall processes, and (b) make frequent rainfall measurements on a global basis. The National Aeronautics and Space Administration (NASA) of the United States and the Japanese Aviation and Exploration Agency (JAXA) have entered into a cooperative agreement for the formulation and development of GPM. This agreement is a continuation of the partnership that developed the highly successful Tropical Rainfall Measuring Mission (TRMM) that was launched in November 1997; this mission continues to provide valuable scientific and meteorological information on rainfall and the associated processes. International collaboration on GPM from other space agencies has been solicited, and discussions regarding their participation are currently in progress. NASA has taken lead responsibility for the planning and formulation of GPM. Key elements of the Program to be provided by NASA include a Core satellite instrumented with a multi-channel microwave radiometer, a Ground Validation System and a ground-based Precipitation Processing System (PPS). JAXA will provide a Dual-frequency Precipitation Radar for installation on the Core satellite and launch services. Other United States agencies and international partners may participate in a number of ways, such as providing rainfall measurements obtained from their own national space-borne platforms, providing local rainfall measurements to support the ground validation activities, or providing hardware or launch services for GPM constellation spacecraft.

  18. Three Years of the Global Precipitation Measurement (GPM) Mission

    NASA Technical Reports Server (NTRS)

    Skofronick-Jackson, Gail; Huffman, George; Petersen, Walter

    2017-01-01

    Water is essential to our planet Earth. Knowing when, where and how precipitation falls is crucial for understanding the linkages between the Earth's water and energy cycles and is extraordinarily important for sustaining life on our planet during climate change. The Global Precipitation Measurement (GPM) Core Observatory spacecraft launched February 27, 2014, is the anchor to the GPM international satellite mission to unify and advance precipitation measurements from a constellation of research and operational sensors to provide "next-generation" precipitation products. GPM is currently a partnership between NASA and the Japan Aerospace Exploration Agency (JAXA). Status and successes in terms of spacecraft, instruments, retrieval products, validation, and impacts for science and society will be presented.

  19. Evaluation of the Potential of NASA Multi-satellite Precipitation Analysis in Global Landslide Hazard Assessment

    NASA Technical Reports Server (NTRS)

    Hong, Yang; Adler, Robert F.; Huffman, George J.

    2007-01-01

    Landslides are one of the most widespread natural hazards on Earth, responsible for thousands of deaths and billions of dollars in property damage every year. In the U.S. alone landslides occur in every state, causing an estimated $2 billion in damage and 25- 50 deaths each year. Annual average loss of life from landslide hazards in Japan is 170. The situation is much worse in developing countries and remote mountainous regions due to lack of financial resources and inadequate disaster management ability. Recently, a landslide buried an entire village on the Philippines Island of Leyte on Feb 17,2006, with at least 1800 reported deaths and only 3 houses left standing of the original 300. Intense storms with high-intensity , long-duration rainfall have great potential to trigger rapidly moving landslides, resulting in casualties and property damage across the world. In recent years, through the availability of remotely sensed datasets, it has become possible to conduct global-scale landslide hazard assessment. This paper evaluates the potential of the real-time NASA TRMM-based Multi-satellite Precipitation Analysis (TMPA) system to advance our understanding of and predictive ability for rainfall-triggered landslides. Early results show that the landslide occurrences are closely associated with the spatial patterns and temporal distribution of rainfall characteristics. Particularly, the number of landslide occurrences and the relative importance of rainfall in triggering landslides rely on the influence of rainfall attributes [e.g. rainfall climatology, antecedent rainfall accumulation, and intensity-duration of rainstorms). TMPA precipitation data are available in both real-time and post-real-time versions, which are useful to assess the location and timing of rainfall-triggered landslide hazards by monitoring landslide-prone areas while receiving heavy rainfall. For the purpose of identifying rainfall-triggered landslides, an empirical global rainfall intensity

  20. Next-Generation Satellite Precipitation Products for Understanding Global and Regional Water Variability

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.

    2011-01-01

    A major challenge in understanding the space-time variability of continental water fluxes is the lack of accurate precipitation estimates over complex terrains. While satellite precipitation observations can be used to complement ground-based data to obtain improved estimates, space-based and ground-based estimates come with their own sets of uncertainties, which must be understood and characterized. Quantitative estimation of uncertainties in these products also provides a necessary foundation for merging satellite and ground-based precipitation measurements within a rigorous statistical framework. Global Precipitation Measurement (GPM) is an international satellite mission that will provide next-generation global precipitation data products for research and applications. It consists of a constellation of microwave sensors provided by NASA, JAXA, CNES, ISRO, EUMETSAT, DOD, NOAA, NPP, and JPSS. At the heart of the mission is the GPM Core Observatory provided by NASA and JAXA to be launched in 2013. The GPM Core, which will carry the first space-borne dual-frequency radar and a state-of-the-art multi-frequency radiometer, is designed to set new reference standards for precipitation measurements from space, which can then be used to unify and refine precipitation retrievals from all constellation sensors. The next-generation constellation-based satellite precipitation estimates will be characterized by intercalibrated radiometric measurements and physical-based retrievals using a common observation-derived hydrometeor database. For pre-launch algorithm development and post-launch product evaluation, NASA supports an extensive ground validation (GV) program in cooperation with domestic and international partners to improve (1) physics of remote-sensing algorithms through a series of focused field campaigns, (2) characterization of uncertainties in satellite and ground-based precipitation products over selected GV testbeds, and (3) modeling of atmospheric processes and

  1. The Global Precipitation Measurement (GPM) Mission: Overview and U.S. Status

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.; Azarbarzin, Ardeshir A.; Kakar, Ramesh K.; Neeck, Steven

    2011-01-01

    The Global Precipitation Measurement (GPM) Mission is an international satellite mission specifically designed to unify and advance precipitation measurements from a constellation of research and operational microwave sensors. Building upon the success of the U.S.-Japan Tropical Rainfall Measuring Mission (TRMM), the National Aeronautics and Space Administration (NASA) of the United States and the Japan Aerospace and Exploration Agency (JAXA) will deploy in 2013 a GPM "Core" satellite carrying a KulKa-band Dual-frequency Precipitation Radar (DPR) and a conical-scanning multi-channel (10-183 GHz) GPM Microwave Imager (GMI) to establish a new reference standard for precipitation measurements from space. The combined active/passive sensor measurements will also be used to provide common database for precipitation retrievals from constellation sensors. For global coverage, GPM relies on existing satellite programs and new mission opportunities from a consortium of partners through bilateral agreements with either NASA or JAXA. Each constellation member may have its unique scientific or operational objectives but contributes microwave observations to GPM for the generation and dissemination of unified global precipitation data products. In addition to the DPR and GMI on the Core Observatory, the baseline GPM constellation consists of the following sensors: (1) Special Sensor Microwave Imager/Sounder (SSMIS) instruments on the U.S. Defense Meteorological Satellite Program (DMSP) satellites, (2) the Advanced Microwave Scanning Radiometer- 2 (AMSR-2) on the GCOM-Wl satellite of JAXA, (3) the Multi-Frequency Microwave Scanning Radiometer (MADRAS) and the multi-channel microwave humidity sounder (SAPHIR) on the French-Indian Megha-Tropiques satellite, (4) the Microwave Humidity Sounder (MHS) on the National Oceanic and Atmospheric Administration (NOAA)-19, (5) MHS instruments on MetOp satellites launched by the European Organisation for the Exploitation of Meteorological

  2. Developing Information Services and Tools to Access and Evaluate Data Quality in Global Satellite-based Precipitation Products

    NASA Astrophysics Data System (ADS)

    Liu, Z.; Shie, C. L.; Meyer, D. J.

    2017-12-01

    Global satellite-based precipitation products have been widely used in research and applications around the world. Compared to ground-based observations, satellite-based measurements provide precipitation data on a global scale, especially in remote continents and over oceans. Over the years, satellite-based precipitation products have evolved from single sensor and single algorithm to multi-sensors and multi-algorithms. As a result, many satellite-based precipitation products have been enhanced such as spatial and temporal coverages. With inclusion of ground-based measurements, biases of satellite-based precipitation products have been significantly reduced. However, data quality issues still exist and can be caused by many factors such as observations, satellite platform anomaly, algorithms, production, calibration, validation, data services, etc. The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) is home to NASA global precipitation product archives including the Tropical Rainfall Measuring Mission (TRMM), the Global Precipitation Measurement (GPM), as well as other global and regional precipitation products. Precipitation is one of the top downloaded and accessed parameters in the GES DISC data archive. Meanwhile, users want to easily locate and obtain data quality information at regional and global scales to better understand how precipitation products perform and how reliable they are. As data service providers, it is necessary to provide an easy access to data quality information, however, such information normally is not available, and when it is available, it is not in one place and difficult to locate. In this presentation, we will present challenges and activities at the GES DISC to address precipitation data quality issues.

  3. Advances in Global Water Cycle Science Made Possible by Global Precipitation Mission (GPM)

    NASA Technical Reports Server (NTRS)

    Smith, Eric A.; Starr, David OC. (Technical Monitor)

    2001-01-01

    Within this decade the internationally sponsored Global Precipitation Mission (GPM) will take an important step in creating a global precipitation observing system from space. One perspective for understanding the nature of GPM is that it will be a hierarchical system of datastreams from very high caliber combined dual frequency radar/passive microwave (PMW) rain-radiometer retrievals, to high caliber PMW rain-radiometer only retrievals, and on to blends of the former datastreams with other less-high caliber PMW-based and IR-based rain retrievals. Within the context of NASA's role in global water cycle science and its own Global Water & Energy Cycle (GWEC) program, GPM is the centerpiece mission for improving our understanding of the global water cycle from a space-based measurement perspective. One of the salient problems within our current understanding of the global water and energy cycle is determining whether a change in the rate of the water cycle is accompanying changes in global temperature. As there are a number of ways in which to define a rate-change of the global water cycle, it is not entirely clear as to what constitutes such a determination, This paper presents an overview of the Global Precipitation Mission and how its datasets can be used in a set of quantitative tests within the framework of the oceanic and continental water budget equations to determine comprehensively whether substantive rate changes do accompany perturbations in global temperatures and how such rate changes manifest themselves in both water storage and water flux transport processes.

  4. The Global Precipitation Climatology Project (GPCP) Combined Precipitation Dataset

    NASA Technical Reports Server (NTRS)

    Huffman, George J.; Adler, Robert F.; Arkin, Philip; Chang, Alfred; Ferraro, Ralph; Gruber, Arnold; Janowiak, John; McNab, Alan; Rudolf, Bruno; Schneider, Udo

    1997-01-01

    The Global Precipitation Climatology Project (GPCP) has released the GPCP Version 1 Combined Precipitation Data Set, a global, monthly precipitation dataset covering the period July 1987 through December 1995. The primary product in the dataset is a merged analysis incorporating precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit -satellite infrared data, and rain gauge observations. The dataset also contains the individual input fields, a combination of the microwave and infrared satellite estimates, and error estimates for each field. The data are provided on 2.5 deg x 2.5 deg latitude-longitude global grids. Preliminary analyses show general agreement with prior studies of global precipitation and extends prior studies of El Nino-Southern Oscillation precipitation patterns. At the regional scale there are systematic differences with standard climatologies.

  5. Assimilating All-Sky GPM Microwave Imager(GMI) Radiance Data in NASA GEOS-5 System for Global Cloud and Precipitation Analyses

    NASA Astrophysics Data System (ADS)

    Kim, M. J.; Jin, J.; McCarty, W.; Todling, R.; Holdaway, D. R.; Gelaro, R.

    2014-12-01

    The NASA Global Modeling and Assimilation Office (GMAO) works to maximize the impact of satellite observations in the analysis and prediction of climate and weather through integrated Earth system modeling and data assimilation. To achieve this goal, the GMAO undertakes model and assimilation development, generates products to support NASA instrument teams and the NASA Earth science program. Currently Atmospheric Data Assimilation System (ADAS) in the Goddard Earth Observing System Model, Version 5(GEOS-5) system combines millions of observations and short-term forecasts to determine the best estimate, or analysis, of the instantaneous atmospheric state. However, ADAS has been geared towards utilization of observations in clear sky conditions and the majority of satellite channel data affected by clouds are discarded. Microwave imager data from satellites can be a significant source of information for clouds and precipitation but the data are presently underutilized, as only surface rain rates from the Tropical Rainfall Measurement Mission (TRMM) Microwave Imager (TMI) are assimilated with small weight assigned in the analysis process. As clouds and precipitation often occur in regions with high forecast sensitivity, improvements in the temperature, moisture, wind and cloud analysis of these regions are likely to contribute to significant gains in numerical weather prediction accuracy. This presentation is intended to give an overview of GMAO's recent progress in assimilating the all-sky GPM Microwave Imager (GMI) radiance data in GEOS-5 system. This includes development of various new components to assimilate cloud and precipitation affected data in addition to data in clear sky condition. New observation operators, quality controls, moisture control variables, observation and background error models, and a methodology to incorporate the linearlized moisture physics in the assimilation system are described. In addition preliminary results showing impacts of

  6. Global Precipitation Measurement Mission: Architecture and Mission Concept

    NASA Technical Reports Server (NTRS)

    Bundas, David

    2005-01-01

    The Global Precipitation Measurement (GPM) Mission is a collaboration between the National Aeronautics and Space Administration (NASA) and the Japanese Aerospace Exploration Agency (JAXA), and other partners, with the goal of monitoring the diurnal and seasonal variations in precipitation over the surface of the earth. These measurements will be used to improve current climate models and weather forecasting, and enable improved storm and flood warnings. This paper gives an overview of the mission architecture and addresses some of the key trades that have been completed, including the selection of the Core Observatory s orbit, orbit maintenance trades, and design issues related to meeting orbital debris requirements.

  7. The Global Precipitation Measurement (GPM) Mission: Overview and U.S. Status

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.; Azarbarzin, Ardeshir A.; Kakar, Ramesh K.; Neeck, Steven

    2011-01-01

    The Global Precipitation Measurement (GPM) Mission is an international satellite mission specifically designed to unify and advance precipitation measurements from a constellation of research and operational microwave sensors. The cornerstone of the GPM mission is the deployment of a Core Observatory in a 65 deg non-Sun-synchronous orbit to serve as a physics observatory and a transfer standard for inter-calibration of constellation radiometers. The GPM Core Observatory will carry a Ku/Ka-band Dual-frequency Precipitation Radar (DPR) and a conical-scanning multi-channel (10-183 GHz) GPM Microwave Radiometer (GMI). The first space-borne dual-frequency radar will provide not only measurements of 3-D precipitation structures but also quantitative information on microphysical properties of precipitating particles needed for improving precipitation retrievals from passive microwave sensors. The combined use of DPR and GMI measurements will place greater constraints on radiometer retrievals to improve the accuracy and consistency of precipitation estimates from all constellation radiometers. The GPM constellation is envisioned to comprise five or more conical-scanning microwave radiometers and four or more cross-track microwave sounders on operational satellites. NASA and the Japan Aerospace Exploration Agency (JAXA) plan to launch the GPM Core in July 2013. NASA will provide a second radiometer to be flown on a partner-provided GPM Low-Inclination Observatory (L10) to improve near real-time monitoring of hurricanes and mid-latitude storms. NASA and the Brazilian Space Program (AEB/IPNE) are currently engaged in a one-year study on potential L10 partnership. JAXA will contribute to GPM data from the Global Change Observation Mission-Water (GCOM-W) satellite. Additional partnerships are under development to include microwave radiometers on the French-Indian Megha-Tropiques satellite and U.S. Defense Meteorological Satellite Program (DMSP) satellites, as well as cross

  8. The Global Precipitation Measurement (GPM) Mission: Overview and Status

    NASA Technical Reports Server (NTRS)

    Hou, Arthur

    2008-01-01

    The Global Precipitation Measurement (GPM) Mission is an international satellite mission to unify and advance global precipitation measurements from a constellation of dedicated and operational microwave sensors. The GPM concept centers on the deployment of a Core Spacecraft in a non-Sun-synchronous orbit at 65 degrees inclination carrying a dual-frequency precipitation radar (DPR) and a multi-frequency passive microwave radiometer (GMI) with high-frequency capabilities to serve as a precipitation physics observatory and calibration standard for the constellation radiometers. The baseline GPM constellation is envisioned to comprise conical-scanning microwave imagers (e.g., GMI, SSMIS, AMSR, MIS, MADRAS, GPM-Brazil) augmented with cross-track microwave temperature/humidity sounders (e.g., MHS, ATMS) over land. In addition to the Core Satellite, the GPM Mission will contribute a second GMI to be flown in a low-inclination (approximately 40 deg.) non-Sun-synchronous orbit to improve near real-time monitoring of hurricanes. GPM is a science mission with integrated applications goals aimed at (1) advancing the knowledge of the global water/energy cycle variability and freshwater availability and (2) improving weather, climate, and hydrological prediction capabilities through more accurate and frequent measurements of global precipitation. The GPM Mission is currently a partnership between NASA and the Japan Aerospace Exploration Agency (JAXA), with opportunities for additional partners in satellite constellation and ground validation activities. Within the framework of the inter-governmental Group ob Earth Observations (GEO) and Global Earth Observation System of Systems (GEOSS), GPM has been identified as a cornerstone for the Precipitation Constellation (PC) being developed under the auspices of Committee of Earth Observation Satellites (CEOS). The GPM Core Observatory is scheduled for launch in 2013, followed by the launch of the GPM Low-Inclination Observatory in

  9. Supporting Hydrometeorological Research and Applications with Global Precipitation Measurement (GPM) Products and Services

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Ostrenga, D.; Vollmer, B.; Deshong, B.; MacRitchie, K.; Greene, M.; Kempler, S.

    2016-01-01

    Precipitation is an important dataset in hydrometeorological research and applications such as flood modeling, drought monitoring, etc. On February 27, 2014, the NASA Global Precipitation Measurement (GPM) mission was launched to provide the next-generation global observations of rain and snow (http:pmm.nasa.govGPM). The GPM mission consists of an international network of satellites in which a GPM Core Observatory satellite carries both active and passive microwave instruments to measure precipitation and serve as a reference standard, to unify precipitation measurements from a constellation of other research and operational satellites. The NASA Goddard Earth Sciences (GES) Data and Information Services Center (DISC) hosts and distributes GPM data. The GES DISC is home to the data archive for the GPM predecessor, the Tropical Rainfall Measuring Mission (TRMM). GPM products currently available include the following:1. Level-1 GPM Microwave Imager (GMI) and partner radiometer products2. Goddard Profiling Algorithm (GPROF) GMI and partner products (Level-2 and Level-3)3. GPM dual-frequency precipitation radar and their combined products (Level-2 and Level-3)4. Integrated Multi-satellitE Retrievals for GPM (IMERG) products (early, late, and final run)GPM data can be accessed through a number of data services (e.g., Simple Subset Wizard, OPeNDAP, WMS, WCS, ftp, etc.). A newly released Unified User Interface or UUI is a single interface to provide users seamless access to data, information and services. For example, a search for precipitation products will not only return TRMM and GPM products, but also other global precipitation products such as MERRA (Modern Era Retrospective-Analysis for Research and Applications), GLDAS (Global Land Data Assimilation Systems), etc.New features and capabilities have been recently added in GIOVANNI to allow exploring and inter-comparing GPM IMERG (Integrated Multi-satelliE Retrievals for GPM) half-hourly and monthly precipitation

  10. A Preliminary Analysis of Precipitation Properties and Processes during NASA GPM IFloodS

    NASA Technical Reports Server (NTRS)

    Carey, Lawrence; Gatlin, Patrick; Petersen, Walt; Wingo, Matt; Lang, Timothy; Wolff, Dave

    2014-01-01

    The Iowa Flood Studies (IFloodS) is a NASA Global Precipitation Measurement (GPM) ground measurement campaign, which took place in eastern Iowa from May 1 to June 15, 2013. The goals of the field campaign were to collect detailed measurements of surface precipitation using ground instruments and advanced weather radars while simultaneously collecting data from satellites passing overhead. Data collected by the radars and other ground instruments, such as disdrometers and rain gauges, will be used to characterize precipitation properties throughout the vertical column, including the precipitation type (e.g., rain, graupel, hail, aggregates, ice crystals), precipitation amounts (e.g., rain rate), and the size and shape of raindrops. The impact of physical processes, such as aggregation, melting, breakup and coalescence on the measured liquid and ice precipitation properties will be investigated. These ground observations will ultimately be used to improve rainfall estimates from satellites and in particular the algorithms that interpret raw data for the upcoming GPM mission's Core Observatory satellite, which launches in 2014. The various precipitation data collected will eventually be used as input to flood forecasting models in an effort to improve capabilities and test the utility and limitations of satellite precipitation data for flood forecasting. In this preliminary study, the focus will be on analysis of NASA NPOL (S-band, polarimetric) radar (e.g., radar reflectivity, differential reflectivity, differential phase, correlation coefficient) and NASA 2D Video Disdrometers (2DVDs) measurements. Quality control and processing of the radar and disdrometer data sets will be outlined. In analyzing preliminary cases, particular emphasis will be placed on 1) documenting the evolution of the rain drop size distribution (DSD) as a function of column melting processes and 2) assessing the impact of range on ground-based polarimetric radar estimates of DSD properties.

  11. Towards the Development of a Global Precipitation Measurement Mission Concept

    NASA Astrophysics Data System (ADS)

    Shepherd, J. M.

    2001-12-01

    The scientific success of the Tropical Rainfall Measuring Mission (TRMM) and additional satellite-focused precipitation retrieval projects have paved the way for a more advanced global precipitation mission. A comprehensive global measuring strategy is currently under study-Global Precipitation Measurement (GPM). The GPM study could ultimately lead to the development of the Global Precipitation Mission. The intent of GPM is to address looming scientific questions arising in the context of global climate-water cycle interactions, hydrometeorology, weather prediction and prediction of freshwater resources, the global carbon cycle, and biogeochemical cycles. This talk overviews the status and scientific agenda of this proposed mission currently planned for launch in the 2007-20008 time frame. GPM is planning to expand the scope of precipitation measurement through the use of a constellation of 6-10 satellites, one of which will be an advanced TRMM-like "core" satellite carry dual-frequency Ku-Ka band radar and a microwave radiometer (e.g. TMI-like). The other constellation members will likely include new lightweight satellites and co-existing operational/research satellites carrying passive microwave radiometers. The goal behind the constellation is to achieve no worse than 3-hour sampling at any spot on the globe. The constellation's orbit architecture will consist of a mix of sun-synchronous and non-sun-synchronous satellites with the "core" satellite providing measurement of cloud-precipitation microphysical processes plus "training calibrating" information to be used with the retrieval algorithms for the constellation satellite measurements. The GPM is organized internationally, currently involving a partnership between NASA in the US, NASDA in Japan, and ESA in Europe (representing the European community). The program is expected to involve additional international partners, other federal agencies, and a diverse collection of scientists from academia, government

  12. Global Precipitation Measurement (GPM) Mission Applications: Activities, Challenges, and Vision

    NASA Technical Reports Server (NTRS)

    Kirschbaum, Dalia; Hou, Arthur

    2012-01-01

    Global Precipitation Measurement (GPM) is an international satellite mission to provide nextgeneration observations of rain and snow worldwide every three hours. NASA and the Japan Aerospace Exploration Agency (JAXA) will launch a "Core" satellite carrying advanced instruments that will set a new standard for precipitation measurements from space. The data they provide will be used to unify precipitation measurements made by an international network of partner satellites to quantify when, where, and how much it rains or snows around the world. The GPM mission will help advance our understanding of Earth's water and energy cycles, improve the forecasting of extreme events that cause natural disasters, and extend current capabilities of using satellite precipitation information to directly benefit society. Building upon the successful legacy of the Tropical Rainfall Measuring Mission (TRMM), GPM's next-generation global precipitation data will lead to scientific advances and societal benefits within a range of hydrologic fields including natural hazards, ecology, public health and water resources. This talk will highlight some examples from TRMM's IS-year history within these applications areas as well as discuss some existing challenges and present a look forward for GPM's contribution to applications in hydrology.

  13. Precipitation Measurements from Space: The Global Precipitation Measurement Mission

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.

    2007-01-01

    Water is fundamental to the life on Earth and its phase transition between the gaseous, liquid, and solid states dominates the behavior of the weather/climate/ecological system. Precipitation, which converts atmospheric water vapor into rain and snow, is central to the global water cycle. It regulates the global energy balance through interactions with clouds and water vapor (the primary greenhouse gas), and also shapes global winds and dynamic transport through latent heat release. Surface precipitation affects soil moisture, ocean salinity, and land hydrology, thus linking fast atmospheric processes to the slower components of the climate system. Precipitation is also the primary source of freshwater in the world, which is facing an emerging freshwater crisis in many regions. Accurate and timely knowledge of global precipitation is essential for understanding the behavior of the global water cycle, improving freshwater management, and advancing predictive capabilities of high-impact weather events such as hurricanes, floods, droughts, and landslides. With limited rainfall networks on land and the impracticality of making extensive rainfall measurements over oceans, a comprehensive description of the space and time variability of global precipitation can only be achieved from the vantage point of space. This presentation will examine current capabilities in space-borne rainfall measurements, highlight scientific and practical benefits derived from these observations to date, and provide an overview of the multi-national Global Precipitation Measurement (GPM) Mission scheduled to bc launched in the early next decade.

  14. Precipitation Education: Connecting Students and Teachers with the Science of NASA's GPM Mission

    NASA Astrophysics Data System (ADS)

    Weaver, K. L. K.

    2015-12-01

    The Global Precipitation Measurement (GPM) Mission education and communication team is involved in variety of efforts to share the science of GPM via hands-on activities for formal and informal audiences and engaging students in authentic citizen science data collection, as well as connecting students and teachers with scientists and other subject matter experts. This presentation will discuss the various forms of those efforts in relation to best practices as well as lessons learned and evaluation data. Examples include: GPM partnered with the Global Observations to Benefit the Environment (GLOBE) Program to conduct a student precipitation field campaign in early 2015. Students from around the world collected precipitation data and entered it into the GLOBE database, then were invited to develop scientific questions to be answered using ground observations and satellite data available from NASA. Webinars and blogs by scientists and educators throughout the campaign extended students' and teachers' knowledge of ground validation, data analysis, and applications of precipitation data. To prepare teachers to implement the new Next Generation Science Standards, the NASA Goddard Earth science education and outreach group, led by GPM Education Specialists, held the inaugural Summer Watershed Institute in July 2015 for 30 Maryland teachers of 3rd-5th grades. Participants in the week-long in-person workshop met with scientists and engineers at Goddard, learned about NASA Earth science missions, and were trained in seven protocols of the GLOBE program. Teachers worked collaboratively to make connections to their own curricula and plan for how to implement GLOBE with their students. Adding the arts to STEM, GPM is producing a comic book story featuring the winners of an anime character contest held by the mission during 2013. Readers learn content related to the science and technology of the mission as well as applications of the data. The choice of anime/manga as the style

  15. Towards the Development of a Global Precipitation Measurement (GPM) Mission Concept

    NASA Technical Reports Server (NTRS)

    Shepherd, Marshall; Starr, David OC. (Technical Monitor)

    2001-01-01

    The scientific success of the Tropical Rainfall Measuring Mission (TRMM) and additional satellite-focused precipitation retrieval projects have paved the way for a more advanced global precipitation mission. A comprehensive global measuring strategy is currently under study - Global Precipitation Measurement (GPM). The GPM study could ultimately lead to the development of the Global Precipitation Mission. The intent of GPM is to address looming scientific questions arising in the context of global climate-water cycle interactions, hydrometeorology, weather prediction and prediction of freshwater resources, the global carbon cycle, and biogeochemical cycles. This talk overviews the status and scientific agenda of this proposed mission currently planned for launch in the 2007-2008 time frame. GPM is planning to expand the scope of precipitation measurement through the use of a constellation of 6-10 satellites, one of which will be an advanced TRMM-like "core" satellite carry dual-frequency Ku-Ka band radar and a microwave radiometer (e.g. TMI-like). The other constellation members will likely include new lightweight satellites and co-existing operational/research satellites carrying passive microwave radiometers. The goal behind the constellation is to achieve no worse than 3-hour sampling at any spot on the globe. The constellation's orbit architecture will consist of a mix of sun-synchronous and non-su n -synchronous satellites with the "core" satellite providing measurement of cloud-precipitation microphysical processes plus "training calibrating" information to be used with the retrieval algorithms for the constellation satellite measurements. The GPM is organized internationally, currently involving a partnership between NASA in the US, NASDA in Japan, and ESA in Europe (representing the European community). The program is expected to involve additional international partners, other federal agencies, and a diverse collection of scientists from academia

  16. Applications and Outreach for the Global Precipitation Measurement mission

    NASA Astrophysics Data System (ADS)

    Janney, D. W.; Kirschbaum, D.

    2017-12-01

    Too much or too little rain can serve as a tipping point for triggering catastrophic flooding and landslides or widespread drought. Knowing when, where and how much rain is falling globally is vital to understanding how people may be more or less impacted by disasters, the spread of water or vector-borne disease, or crop shortages. The Global Precipitation Measurement (GPM) mission provides near real-time precipitation data worldwide that is used by a broad range of end users, from tropical cyclone forecasters to agricultural modelers to researchers evaluating the spread of diseases. The GPM mission has an active applications and outreach program designed to engage and work closely with user communities across a broad spectrum of societal benefit areas with the goal of extending the application of GPM and other NASA data to support decision making. This presentation will outline some examples of how GPM has been engaging with the user community, highlighting some past and planned initiatives with specific organizations and across several thematic areas.

  17. New Products and Perspectives from the Global Precipitation Measurement (GPM) Mission

    NASA Astrophysics Data System (ADS)

    Kummerow, C. D.; Randel, D.; Petkovic, V.

    2016-12-01

    The Global Precipitation Measurement (GPM) mission was launched in February 2014 as a joint mission between JAXA from Japan and NASA from the United States. GPM carries a state of the art dual-frequency precipitation radar and a multi-channel passive microwave radiometer that acts not only to enhance the radar's retrieval capability, but also as a reference for a constellation of existing satellites carrying passive microwave sensors. In March of 2016, GPM released Version 4 of its precipitation products that consists of radar, radiometer, and combined radar/radiometer products. The radiometer algorithm in Version 4 is the first time a fully parametric algorithm has been implemented. This talk will focus on the consistency among the constellation radiometers, and what these inconsistencies can tell us about the fundamental uncertainties within the rainfall products. This analysis will be used to then drive a bigger picture of how GPM's latest results inform the Global Water and Energy budgets.

  18. Global Precipitation Measurement (GPM) Mission Core Spacecraft Systems Engineering Challenges

    NASA Technical Reports Server (NTRS)

    Bundas, David J.; ONeill, Deborah; Field, Thomas; Meadows, Gary; Patterson, Peter

    2006-01-01

    The Global Precipitation Measurement (GPM) Mission is a collaboration between the National Aeronautics and Space Administration (NASA) and the Japanese Aerospace Exploration Agency (JAXA), and other US and international partners, with the goal of monitoring the diurnal and seasonal variations in precipitation over the surface of the earth. These measurements will be used to improve current climate models and weather forecasting, and enable improved storm and flood warnings. This paper gives an overview of the mission architecture and addresses the status of some key trade studies, including the geolocation budgeting, design considerations for spacecraft charging, and design issues related to the mitigation of orbital debris.

  19. Global precipitation measurement (GPM) mission core spacecraft systems engineering challenges

    NASA Astrophysics Data System (ADS)

    Bundas, David J.; O'Neill, Deborah; Rhee, Michael; Feild, Thomas; Meadows, Gary; Patterson, Peter

    2006-09-01

    The Global Precipitation Measurement (GPM) Mission is a collaboration between the National Aeronautics and Space Administration (NASA) and the Japanese Aerospace Exploration Agency (JAXA), and other US and international partners, with the goal of monitoring the diurnal and seasonal variations in precipitation over the surface of the earth. These measurements will be used to improve current climate models and weather forecasting, and enable improved storm and flood warnings. This paper gives an overview of the mission architecture and addresses the status of some key trade studies, including the geolocation budgeting, design considerations for spacecraft charging, and design issues related to the mitigation of orbital debris.

  20. Global warming without global mean precipitation increase?

    PubMed Central

    Salzmann, Marc

    2016-01-01

    Global climate models simulate a robust increase of global mean precipitation of about 1.5 to 2% per kelvin surface warming in response to greenhouse gas (GHG) forcing. Here, it is shown that the sensitivity to aerosol cooling is robust as well, albeit roughly twice as large. This larger sensitivity is consistent with energy budget arguments. At the same time, it is still considerably lower than the 6.5 to 7% K−1 decrease of the water vapor concentration with cooling from anthropogenic aerosol because the water vapor radiative feedback lowers the hydrological sensitivity to anthropogenic forcings. When GHG and aerosol forcings are combined, the climate models with a realistic 20th century warming indicate that the global mean precipitation increase due to GHG warming has, until recently, been completely masked by aerosol drying. This explains the apparent lack of sensitivity of the global mean precipitation to the net global warming recently found in observations. As the importance of GHG warming increases in the future, a clear signal will emerge. PMID:27386558

  1. Global warming without global mean precipitation increase?

    PubMed

    Salzmann, Marc

    2016-06-01

    Global climate models simulate a robust increase of global mean precipitation of about 1.5 to 2% per kelvin surface warming in response to greenhouse gas (GHG) forcing. Here, it is shown that the sensitivity to aerosol cooling is robust as well, albeit roughly twice as large. This larger sensitivity is consistent with energy budget arguments. At the same time, it is still considerably lower than the 6.5 to 7% K(-1) decrease of the water vapor concentration with cooling from anthropogenic aerosol because the water vapor radiative feedback lowers the hydrological sensitivity to anthropogenic forcings. When GHG and aerosol forcings are combined, the climate models with a realistic 20th century warming indicate that the global mean precipitation increase due to GHG warming has, until recently, been completely masked by aerosol drying. This explains the apparent lack of sensitivity of the global mean precipitation to the net global warming recently found in observations. As the importance of GHG warming increases in the future, a clear signal will emerge.

  2. a Climatology of Global Precipitation.

    NASA Astrophysics Data System (ADS)

    Legates, David Russell

    A global climatology of mean monthly precipitation has been developed using traditional land-based gage measurements as well as derived oceanic data. These data have been screened for coding errors and redundant entries have been removed. Oceanic precipitation estimates are most often extrapolated from coastal and island observations because few gage estimates of oceanic precipitation exist. One such procedure, developed by Dorman and Bourke and used here, employs a derived relationship between observed rainfall totals and the "current weather" at coastal stations. The combined data base contains 24,635 independent terrestial station records and 2223 oceanic grid-point records. Raingage catches are known to underestimate actual precipitation. Errors in the gage catch result from wind -field deformation, wetting losses, and evaporation from the gage and can amount to nearly 8, 2, and 1 percent of the global catch, respectively. A procedure has been developed to correct many of these errors and has been used to adjust the gage estimates of global precipitation. Space-time variations in gage type, air temperature, wind speed, and natural vegetation were incorporated into the correction procedure. Corrected data were then interpolated to the nodes of a 0.5^circ of latitude by 0.5^circ of longitude lattice using a spherically-based interpolation algorithm. Interpolation errors are largest in areas of low station density, rugged topography, and heavy precipitation. Interpolated estimates also were compared with a digital filtering technique to access the aliasing of high-frequency "noise" into the lower frequency signals. Isohyetal maps displaying the mean annual, seasonal, and monthly precipitation are presented. Gage corrections and the standard error of the corrected estimates also are mapped. Results indicate that mean annual global precipitation is 1123 mm with 1251 mm falling over the oceans and 820 mm over land. Spatial distributions of monthly precipitation

  3. Global Precipitation Measurement (GPM) Ground Validation: Plans and Preparations

    NASA Technical Reports Server (NTRS)

    Schwaller, M.; Bidwell, S.; Durning, F. J.; Smith, E.

    2004-01-01

    The Global Precipitation Measurement (GPM) program is an international partnership led by the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA). GPM will improve climate, weather, and hydro-meteorological forecasts through more frequent and more accurate measurement of precipitation across the globe. This paper describes the concept, the planning, and the preparations for Ground Validation within the GPM program. Ground Validation (GV) plays an important role in the program by investigating and quantitatively assessing the errors within the satellite retrievals. These quantitative estimates of retrieval errors will assist the scientific community by bounding the errors within their research products. The two fundamental requirements of the GPM Ground Validation program are: (1) error characterization of the precipitation retrievals and (2) continual improvement of the satellite retrieval algorithms. These two driving requirements determine the measurements, instrumentation, and location for ground observations. This paper outlines GV plans for estimating the systematic and random components of retrieval error and for characterizing the spatial p d temporal structure of the error and plans for algorithm improvement in which error models are developed and experimentally explored to uncover the physical causes of errors within the retrievals. This paper discusses NASA locations for GV measurements as well as anticipated locations from international GPM partners. NASA's primary locations for validation measurements are an oceanic site at Kwajalein Atoll in the Republic of the Marshall Islands and a continental site in north-central Oklahoma at the U.S. Department of Energy's Atmospheric Radiation Measurement Program site.

  4. Global Precipitation Measurement

    NASA Technical Reports Server (NTRS)

    Hou, Arthur Y.; Skofronick-Jackson, Gail; Kummerow, Christian D.; Shepherd, James Marshall

    2008-01-01

    This chapter begins with a brief history and background of microwave precipitation sensors, with a discussion of the sensitivity of both passive and active instruments, to trace the evolution of satellite-based rainfall techniques from an era of inference to an era of physical measurement. Next, the highly successful Tropical Rainfall Measuring Mission will be described, followed by the goals and plans for the Global Precipitation Measurement (GPM) Mission and the status of precipitation retrieval algorithm development. The chapter concludes with a summary of the need for space-based precipitation measurement, current technological capabilities, near-term algorithm advancements and anticipated new sciences and societal benefits in the GPM era.

  5. Explore GPM IMERG and Other Global Precipitation Products with GES DISC GIOVANNI

    NASA Technical Reports Server (NTRS)

    Liu, Zhong; Ostrenga, Dana M.; Vollmer, Bruce; MacRitchie, Kyle; Kempler, Steven

    2015-01-01

    New features and capabilities in the newly released GIOVANNI allow exploring GPM IMERG (Integrated Multi-satelliE Retrievals for GPM) Early, Late and Final Run global half-hourly and monthly precipitation products as well as other precipitation products distributed by the GES DISC such as TRMM Multi-Satellite Precipitation Analysis (TMPA), MERRA (Modern Era Retrospective-Analysis for Research and Applications), NLDAS (North American Land Data Assimilation Systems), GLDAS (Global Land Data Assimilation Systems), etc. GIOVANNI is a web-based tool developed by the GES DISC (Goddard Earth Sciences and Data Information Services Center) to visualize and analyze Earth science data without having to download data and software. The new interface in GIOVANNI allows searching and filtering precipitation products from different NASA missions and projects and expands the capabilities to inter-compare different precipitation products in one interface. Knowing differences in precipitation products is important to identify issues in retrieval algorithms, biases, uncertainties, etc. Due to different formats, data structures, units and so on, it is not easy to inter-compare precipitation products. Newly added features and capabilities (unit conversion, regridding, etc.) in GIOVANNI make inter-comparisons possible. In this presentation, we will describe these new features and capabilities along with examples.

  6. NASA Global Hawk Overview

    NASA Technical Reports Server (NTRS)

    Naftel, Chris

    2014-01-01

    The NASA Global Hawk Project is supporting Earth Science research customers. These customers include: US Government agencies, civilian organizations, and universities. The combination of the Global Hawks range, endurance, altitude, payload power, payload volume and payload weight capabilities separates the Global Hawk platform from all other platforms available to the science community. This presentation includes an overview of the concept of operations and an overview of the completed science campaigns. In addition, the future science plans, using the NASA Global Hawk System, will be presented.

  7. Validation and Error Characterization for the Global Precipitation Measurement

    NASA Technical Reports Server (NTRS)

    Bidwell, Steven W.; Adams, W. J.; Everett, D. F.; Smith, E. A.; Yuter, S. E.

    2003-01-01

    The Global Precipitation Measurement (GPM) is an international effort to increase scientific knowledge on the global water cycle with specific goals of improving the understanding and the predictions of climate, weather, and hydrology. These goals will be achieved through several satellites specifically dedicated to GPM along with the integration of numerous meteorological satellite data streams from international and domestic partners. The GPM effort is led by the National Aeronautics and Space Administration (NASA) of the United States and the National Space Development Agency (NASDA) of Japan. In addition to the spaceborne assets, international and domestic partners will provide ground-based resources for validating the satellite observations and retrievals. This paper describes the validation effort of Global Precipitation Measurement to provide quantitative estimates on the errors of the GPM satellite retrievals. The GPM validation approach will build upon the research experience of the Tropical Rainfall Measuring Mission (TRMM) retrieval comparisons and its validation program. The GPM ground validation program will employ instrumentation, physical infrastructure, and research capabilities at Supersites located in important meteorological regimes of the globe. NASA will provide two Supersites, one in a tropical oceanic and the other in a mid-latitude continental regime. GPM international partners will provide Supersites for other important regimes. Those objectives or regimes not addressed by Supersites will be covered through focused field experiments. This paper describes the specific errors that GPM ground validation will address, quantify, and relate to the GPM satellite physical retrievals. GPM will attempt to identify the source of errors within retrievals including those of instrument calibration, retrieval physical assumptions, and algorithm applicability. With the identification of error sources, improvements will be made to the respective calibration

  8. NASA's Global Hawk

    NASA Image and Video Library

    2014-09-23

    View from a Chase Plane; HS3 Science Flight 8 Wraps Up The chase plane accompanying NASA's Global Hawk No. 872 captured this picture on Sept. 19 after the Global Hawk completed science flight #8 where it gathered data from a weakening Tropical Storm Edouard over the North Atlantic Ocean. Credit: NASA -- The Hurricane and Severe Storm Sentinel (HS3) is a five-year mission specifically targeted to investigate the processes that underlie hurricane formation and intensity change in the Atlantic Ocean basin. HS3 is motivated by hypotheses related to the relative roles of the large-scale environment and storm-scale internal processes. Read more: espo.nasa.gov/missions/hs3/mission-gallery NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

  9. The Global Precipitation Mission

    NASA Technical Reports Server (NTRS)

    Braun, Scott; Kummerow, Christian

    2000-01-01

    The Global Precipitation Mission (GPM), expected to begin around 2006, is a follow-up to the Tropical Rainfall Measuring Mission (TRMM). Unlike TRMM, which primarily samples the tropics, GPM will sample both the tropics and mid-latitudes. The primary, or core, satellite will be a single, enhanced TRMM satellite that can quantify the 3-D spatial distributions of precipitation and its associated latent heat release. The core satellite will be complemented by a constellation of very small and inexpensive drones with passive microwave instruments that will sample the rainfall with sufficient frequency to be not only of climate interest, but also have local, short-term impacts by providing global rainfall coverage at approx. 3 h intervals. The data is expected to have substantial impact upon quantitative precipitation estimation/forecasting and data assimilation into global and mesoscale numerical models. Based upon previous studies of rainfall data assimilation, GPM is expected to lead to significant improvements in forecasts of extratropical and tropical cyclones. For example, GPM rainfall data can provide improved initialization of frontal systems over the Pacific and Atlantic Oceans. The purpose of this talk is to provide information about GPM to the USWRP (U.S. Weather Research Program) community and to discuss impacts on quantitative precipitation estimation/forecasting and data assimilation.

  10. Current Development of Global Precipitation Mission (GPM)

    NASA Technical Reports Server (NTRS)

    Smith, Eric A.; Starr, David (Technical Monitor)

    2001-01-01

    The scientific success of the Tropical Rainfall Measuring Mission (TRMM) and additional satellite-focused precipitation retrieval projects, particularly those based on use of passive microwave radiometer measurements, have paved the way for a more advanced global precipitation mission. The new mission is motivated by a number of scientific questions that TRMM research has posed over a range of space-time scales and within a variety of scientific disciplines that are becoming more integrated into earth system science modeling. Added to this success is the realization that satellite rainfall datasets are now a foremost tool in understanding global climate variability out to decadal scales and beyond. This progress has motivated a comprehensive global measuring strategy -- leading to the "Global Precipitation Mission" (GPM). GPM is planning to expand the scope of rainfall measurement through use of a satellite constellation. The intent is to address looming scientific questions arising in the context of global climate-water cycle interactions, hydrometeorology, weather prediction & prediction of fresh water resources, the global carbon budget, and biogeochemical cycles. This talk overviews the status and scientific agenda of this mission currently planned for launch in the 2007-2008 time frame. The GPM notional design involves a 10-member satellite constellation, one of which will be an advanced TRMM-like "core" satellite carrying a dual-frequency Ku-Ka band radar (DFPR) and a TMI-like radiometer. The other nine members of the constellation will be considered daughters of the core satellite, each carrying some type of passive microwave radiometer measuring across the 10.7-85 GHz frequency range -- likely to include a combination of lightweight satellites and co-existing operational/experimental satellites carrying passive microwave radiometers (i.e., 2 DMSP/SSMISs, GCOM-B1/AMSR-J, & Megha Tropiques/MADRAS). The goal behind the constellation is to achieve no worse than

  11. Newly Released TRMM Version 7 Products, GPCP Version 2.2 Precipitation Dataset and Data Services at NASA GES DISC

    NASA Astrophysics Data System (ADS)

    Ostrenga, D.; Liu, Z.; Teng, W. L.; Trivedi, B.; Kempler, S.

    2011-12-01

    The NASA Goddard Earth Sciences Data and Information Services Center (GES DISC) is home of global precipitation product archives, in particular, the Tropical Rainfall Measuring Mission (TRMM) products. TRMM is a joint U.S.-Japan satellite mission to monitor tropical and subtropical (40deg S - 40deg N) precipitation and to estimate its associated latent heating. The TRMM satellite provides the first detailed and comprehensive dataset on the four dimensional distribution of rainfall and latent heating over vastly undersampled tropical and subtropical oceans and continents. The TRMM satellite was launched on November 27, 1997. TRMM data products are archived at and distributed by GES DISC. The newly released TRMM Version 7 consists of several changes including new parameters, new products, meta data, data structures, etc. For example, hydrometeor profiles in 2A12 now have 28 layers (14 in V6). New parameters have been added to several popular Level-3 products, such as, 3B42, 3B43. Version 2.2 of the Global Precipitation Climatology Project (GPCP) dataset has been added to the TRMM Online Visualization and Analysis System (TOVAS; URL: http://disc2.nascom.nasa.gov/Giovanni/tovas/), allowing online analysis and visualization without downloading data and software. The GPCP dataset extends back to 1979. Results of basic intercomparison between the new and the previous versions of both TRMM and GPCP will be presented to help understand changes in data product characteristics. To facilitate data and information access and support precipitation research and applications, we have developed a Precipitation Data and Information Services Center (PDISC; URL: http://disc.gsfc.nasa.gov/precipitation). In addition to TRMM, PDISC provides current and past observational precipitation data. Users can access precipitation data archives consisting of both remote sensing and in-situ observations. Users can use these data products to conduct a wide variety of activities, including case

  12. Drop Size Distribution Measurements Supporting the NASA Global Precipitation Measurement Mission: Infrastructure and Preliminary Results

    NASA Technical Reports Server (NTRS)

    Petersen, Walter A.; Carey, Lawerence D.; Gatlin, Patrick N.; Wingo, Matthew; Tokay, Ali; Wolff, David B.; Bringi, V. N.

    2011-01-01

    Global Precipitation Measurement Mission (GPM) retrieval algorithm validation requires datasets that characterize the 4-D structure, variability, and correlation properties of hydrometeor particle size distributions (PSD) and accumulations over satellite fields of view (5 -- 50 km). Key to this process is the combined use of disdrometer and polarimetric radar platforms. Here the disdrometer measurements serve as a reference for up-scaling dual-polarimetric radar observations of the PSD to the much larger volumetric sampling domain of the radar. The PSD observations thus derived provide a much larger data set for assessing DSD variability, and satellite-based precipitation retrieval algorithm assumptions, in all three spatial dimensions for a range of storm types and seasons. As one component of this effort, the GPM Ground Validation program recently acquired five 3rd generation 2D Video disdrometers as part of its Disdrometer and Radar Observations of Precipitation Facility (DROP), currently hosted in northern Alabama by the NASA Marshall Space Flight Center and the University of Alabama in Huntsville. These next-generation 2DVDs were operated and evaluated in different phases of data collection under the scanning domain of the UAH ARMOR C-band dual-polarimetric radar. During this period approximately 7500 minutes of PSD data were collected and processed to create gamma size distribution parameters using a truncated method of moments approach. After creating the gamma parameter datasets the DSDs were then used as input to T-matrix code for computation of polarimetric radar moments at C-band. The combined dataset was then analyzed with two basic objectives in mind: 1) the investigation of seasonal variability in the rain PSD parameters as observed by the 2DVDs; 2) the use of combined polarimetric moments and observed gamma distribution parameters in a functional form to retrieve PSD parameters in 4-D using the ARMOR radar for precipitation occurring in different

  13. The Global Precipitation Measurement (GPM) Mission: Overview and U.S. Science Status

    NASA Astrophysics Data System (ADS)

    Hou, Arthur Y.; Skofronick-Jackson, Gail; Stocker, Erich F.

    2013-04-01

    The Global Precipitation Measurement (GPM) Mission is a satellite mission specifically designed to unify and advance precipitation measurements from a constellation of research and operational microwave sensors provided by a consortium of international partners. NASA and JAXA will deploy a Core Observatory in 2014 to serve as a reference satellite for precipitation measurements by the constellation sensors. The GPM Core Observatory will carry a Ku/Ka-band Dual-frequency Precipitation Radar (DPR) and a conical-scanning multi-channel (10-183 GHz) GPM Microwave Radiometer (GMI). The DPR, the first dual-frequency radar in space, will provide not only measurements of 3-D precipitation structures but also quantitative information on microphysical properties of precipitating particles. The DPR and GMI measurements will together provide a database that relates vertical hydrometeor profiles to multi-frequency microwave radiances over a variety of environmental conditions across the globe. This combined database will serve as a common transfer standard for improving the accuracy and consistency of precipitation retrievals from all constellation radiometers. In addition to the Core Observatory, the GPM constellation consists of (1) Special Sensor Microwave Imager/Sounder (SSMIS) instruments on the U.S. Defense Meteorological Satellite Program (DMSP) satellites, (2) the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on the GCOM-W1 satellite of JAXA, (3) the Multi-Frequency Microwave Scanning Radiometer (MADRAS) and the multi-channel microwave humidity sounder (SAPHIR) on the French-Indian Megha-Tropiques satellite, (4) the Microwave Humidity Sounder (MHS) on the National Oceanic and Atmospheric Administration (NOAA) Polar Orbiting Environmental Satellites (POES), (5) MHS instruments on MetOp satellites launched by the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), (6) the Advanced Technology Microwave Sounder (ATMS) on the National Polar

  14. Global Precipitation Measurement Poster

    NASA Technical Reports Server (NTRS)

    Azarbarzin, Art

    2010-01-01

    This poster presents an overview of the Global Precipitation Measurement (GPM) constellation of satellites which are designed to measure the Earth's precipitation. It includes the schedule of launches for the various satellites in the constellation, and the coverage of the constellation, It also reviews the mission capabilities, and the mission science objectives.

  15. Inter-comparison of the EUMETSAT H-SAF and NASA PPS precipitation products over Western Europe.

    NASA Astrophysics Data System (ADS)

    Kidd, Chris; Panegrossi, Giulia; Ringerud, Sarah; Stocker, Erich

    2017-04-01

    The development of precipitation retrieval techniques utilising passive microwave satellite observations has achieved a good degree of maturity through the use of physically-based schemes. The DMSP Special Sensor Microwave Imager/Sounder (SSMIS) has been the mainstay of passive microwave observations over the last 13 years forming the basis of many satellite precipitation products, including NASA's Precipitation Processing System (PPS) and EUMETSAT's Hydrological Satellite Application Facility (H-SAF). The NASA PPS product utilises the Goddard Profiling (GPROF; currently 2014v2-0) retrieval scheme that provides a physically consistent retrieval scheme through the use of coincident active/passive microwave retrievals from the Global Precipitation Measurement (GPM) mission core satellite. The GPM combined algorithm retrieves hydrometeor profiles optimized for consistency with both Dual-frequency Precipitation Radar (DPR) and GPM Microwave Imager (GMI); these profiles form the basis of the GPROF database which can be utilized for any constellation radiometer within the framework a Bayesian retrieval scheme. The H-SAF product (PR-OBS-1 v1.7) is based on a physically-based Bayesian technique where the a priori information is provided by a Cloud Dynamic Radiation Database (CDRD). Meteorological parameter constraints, derived from synthetic dynamical-thermodynamical-hydrological meteorological profile variables, are used in conjunction with multi-hydrometeor microphysical profiles and multispectral PMW brightness temperature vectors into a specialized a priori knowledge database underpinning and guiding the algorithm's Bayesian retrieval solver. This paper will present the results of an inter-comparison of the NASA PPS GPROF and EUMETSAT H-SAF PR-OBS-1 products over Western Europe for the period from 1 January 2015 through 31 December 2016. Surface radar is derived from the UKMO-derived Nimrod European radar product, available at 15 minute/5 km resolution. Initial results

  16. The NASA Polarimetric Radar (NPOL)

    NASA Technical Reports Server (NTRS)

    Petersen, Walter A.; Wolff, David B.

    2013-01-01

    Characteristics of the NASA NPOL S-band dual-polarimetric radar are presented including its operating characteristics, field configuration, scanning capabilities and calibration approaches. Examples of precipitation science data collections conducted using various scan types, and associated products, are presented for different convective system types and previous field campaign deployments. Finally, the NASA NPOL radar location is depicted in its home base configuration within the greater Wallops Flight Facility precipitation research array supporting NASA Global Precipitation Measurement Mission ground validation.

  17. The NASA CloudSat/GPM Light Precipitation Validation Experiment (LPVEx)

    NASA Technical Reports Server (NTRS)

    Petersen, Walter A.; L'Ecuyer, Tristan; Moisseev, Dmitri

    2011-01-01

    Ground-based measurements of cool-season precipitation at mid and high latitudes (e.g., above 45 deg N/S) suggest that a significant fraction of the total precipitation volume falls in the form of light rain, i.e., at rates less than or equal to a few mm/h. These cool-season light rainfall events often originate in situations of a low-altitude (e.g., lower than 2 km) melting level and pose a significant challenge to the fidelity of all satellite-based precipitation measurements, especially those relying on the use of multifrequency passive microwave (PMW) radiometers. As a result, significant disagreements exist between satellite estimates of rainfall accumulation poleward of 45 deg. Ongoing efforts to develop, improve, and ultimately evaluate physically-based algorithms designed to detect and accurately quantify high latitude rainfall, however, suffer from a general lack of detailed, observationally-based ground validation datasets. These datasets serve as a physically consistent framework from which to test and refine algorithm assumptions, and as a means to build the library of algorithm retrieval databases in higher latitude cold-season light precipitation regimes. These databases are especially relevant to NASA's CloudSat and Global Precipitation Measurement (GPM) ground validation programs that are collecting high-latitude precipitation measurements in meteorological systems associated with frequent coolseason light precipitation events. In an effort to improve the inventory of cool-season high-latitude light precipitation databases and advance the physical process assumptions made in satellite-based precipitation retrieval algorithm development, the CloudSat and GPM mission ground validation programs collaborated with the Finnish Meteorological Institute (FMI), the University of Helsinki (UH), and Environment Canada (EC) to conduct the Light Precipitation Validation Experiment (LPVEx). The LPVEx field campaign was designed to make detailed measurements of

  18. Creating a global sub-daily precipitation dataset

    NASA Astrophysics Data System (ADS)

    Lewis, Elizabeth; Blenkinsop, Stephen; Fowler, Hayley

    2017-04-01

    Extremes of precipitation can cause flooding and droughts which can lead to substantial damages to infrastructure and ecosystems and can result in loss of life. It is still uncertain how hydrological extremes will change with global warming as we do not fully understand the processes that cause extreme precipitation under current climate variability. The INTENSE project is using a novel and fully-integrated data-modelling approach to provide a step-change in our understanding of the nature and drivers of global precipitation extremes and change on societally relevant timescales, leading to improved high-resolution climate model representation of extreme rainfall processes. The INTENSE project is in conjunction with the World Climate Research Programme (WCRP)'s Grand Challenge on 'Understanding and Predicting Weather and Climate Extremes' and the Global Water and Energy Exchanges Project (GEWEX) Science questions. The first step towards achieving this is to construct a new global sub-daily precipitation dataset. Data collection is ongoing and already covers North America, Europe, Asia and Australasia. Comprehensive, open source quality control software is being developed to set a new standard for verifying sub-daily precipitation data and a set of global hydroclimatic indices will be produced based upon stakeholder recommendations. This will provide a unique global data resource on sub-daily precipitation whose derived indices, e.g. monthly/annual maxima, will be freely available to the wider scientific community.

  19. Global Precipitation at Your Fingertips, Part I: Data

    NASA Technical Reports Server (NTRS)

    Huffman, George J.

    2010-01-01

    The most accurate satellite estimates come from the first precipitation radar (PR) to fly in space, aboard the Tropical Rainfall Measuring Mission (TRMM) satellite. Although important for research, the PR's coverage is too limited to give routine monitoring of global precipitation. Rather, we depend on observations of the Earth system's natural emission of microwave energy. Even these data are not available at all times since the satellites on which the microwave sensors fly are in "low Earth orbit", or LEO, some 400-800 km above the surface. Such LEO satellites pass over any given spot on Earth twice a day. In contrast, "geosynchronous Earth orbit", or GEO, satellites at an altitude of about 35,000 km orbit at the same speed that the Earth revolves and therefore always view the same part of the surface. The trade-off is that GEO sensors provide less-precise estimates computed from the Earth system's natural emissions of infrared (IR) energy. Other satellite datasets are used to provide estimates in regions where both microwave and IR have difficulty, such as polar regions or times before mid-1987 when microwave data became available. Finally, rain gauge data where available, have proved to be valuable for helping to reduce biases in the satellite data, which are persistent differences between the satellite estimate and the precipitation that actually occurred. The datasets discussed below take slightly different approaches to mixing and matching the various kinds of input data to create global estimates of precipitation that answer different needs and/or take advantage of different input data. Each is produced at the NASA Goddard Space Flight Center, in Greenbelt, Maryland, USA. [Other combination datasets are produced at other data centers.

  20. Precipitation-Lightning Relationships on a Global Basis and a Study of Tropical Continental Convection in TRMM Brazil

    NASA Technical Reports Server (NTRS)

    Williams, Earle R.

    2001-01-01

    This report is concerned with a summary of work completed under NASA Grant NAG5-4778 entitled: "Precipitation-Lightning Relationships on a Global Basis", with a supplement entitled: "A Study of Tropical Continental Convection in TRMM/Brazil". Several areas of endeavor are summarized, some of them concerned directly with the observations from the TRMM satellite, and others focussing on ground based measurements in the NASA TRMM LBA field program in Brazil.

  1. Evaluation of High Resolution IMERG Satellite Precipitation over the Global Oceans using OceanRAIN

    NASA Astrophysics Data System (ADS)

    Kucera, P. A.; Klepp, C.

    2017-12-01

    Precipitation is a key parameter of the essential climate variables in the Earth System that is a key variable in the global water cycle. Observations of precipitation over oceans is relatively sparse. Satellite observations over oceans is the only viable means of measuring the spatially distribution of precipitation. In an effort to improve global precipitation observations, the research community has developed a state of the art precipitation dataset as part of the NASA/JAXA Global Precipitation Measurement (GPM) program. The satellite gridded product that has been developed is called Integrated Multi-satelliE Retrievals for GPM (IMERG), which has a maximum spatial resolution of 0.1º x 0.1º and temporal 30 minute. Even with the advancements in retrievals, there is a need to quantify uncertainty of IMERG precipitation estimates especially over oceans. To address this need, the OceanRAIN dataset has been used to create a comprehensive database to compare IMERG products. The OceanRAIN dataset was created using observations from the ODM-470 optical disdrometer that has been deployed on 12 research vessels worldwide with 6 long-term installations operating in all climatic regions, seasons and ocean basins. More than 6 million data samples have been collected on the OceanRAIN program. These data were matched to IMERG grids for the study period of 15 March 2014-01 April 2017. This evaluation produced over 1500 matched IMERG-OceanRAIN pairs of precipitation observed at the surface. These matched pairs were used to evaluate the performance of IMERG stratified by different latitudinal bands and precipitation regimes. The presentation will provide an overview of the study and summary of evaluation results.

  2. Global precipitation measurement (GPM) preliminary design

    NASA Astrophysics Data System (ADS)

    Neeck, Steven P.; Kakar, Ramesh K.; Azarbarzin, Ardeshir A.; Hou, Arthur Y.

    2008-10-01

    The overarching Earth science mission objective of the Global Precipitation Measurement (GPM) mission is to develop a scientific understanding of the Earth system and its response to natural and human-induced changes. This will enable improved prediction of climate, weather, and natural hazards for present and future generations. The specific scientific objectives of GPM are advancing: Precipitation Measurement through combined use of active and passive remote-sensing techniques, Water/Energy Cycle Variability through improved knowledge of the global water/energy cycle and fresh water availability, Climate Prediction through better understanding of surface water fluxes, soil moisture storage, cloud/precipitation microphysics and latent heat release, Weather Prediction through improved numerical weather prediction (NWP) skills from more accurate and frequent measurements of instantaneous rain rates with better error characterizations and improved assimilation methods, Hydrometeorological Prediction through better temporal sampling and spatial coverage of highresolution precipitation measurements and innovative hydro-meteorological modeling. GPM is a joint initiative with the Japan Aerospace Exploration Agency (JAXA) and other international partners and is the backbone of the Committee on Earth Observation Satellites (CEOS) Precipitation Constellation. It will unify and improve global precipitation measurements from a constellation of dedicated and operational active/passive microwave sensors. GPM is completing the Preliminary Design Phase and is advancing towards launch in 2013 and 2014.

  3. Japanese Global Precipitation Measurement (GPM) mission status and application of satellite-based global rainfall map

    NASA Astrophysics Data System (ADS)

    Kachi, Misako; Shimizu, Shuji; Kubota, Takuji; Yoshida, Naofumi; Oki, Riko; Kojima, Masahiro; Iguchi, Toshio; Nakamura, Kenji

    2010-05-01

    As accuracy of satellite precipitation estimates improves and observation frequency increases, application of those data to societal benefit areas, such as weather forecasts and flood predictions, is expected, in addition to research of precipitation climatology to analyze precipitation systems. There is, however, limitation on single satellite observation in coverage and frequency. Currently, the Global Precipitation Measurement (GPM) mission is scheduled under international collaboration to fulfill various user requirements that cannot be achieved by the single satellite, like the Tropical Rainfall Measurement Mission (TRMM). The GPM mission is an international mission to achieve high-accurate and high-frequent rainfall observation over a global area. GPM is composed of a TRMM-like non-sun-synchronous orbit satellite (GPM core satellite) and constellation of satellites carrying microwave radiometer instruments. The GPM core satellite carries the Dual-frequency Precipitation Radar (DPR), which is being developed by the Japan Aerospace Exploration Agency (JAXA) and the National Institute of Information and Communications Technology (NICT), and microwave radiometer provided by the National Aeronautics and Space Administration (NASA). Development of DPR instrument is in good progress for scheduled launch in 2013, and DPR Critical Design Review has completed in July - September 2009. Constellation satellites, which carry a microwave imager and/or sounder, are planned to be launched around 2013 by each partner agency for its own purpose, and will contribute to extending coverage and increasing frequency. JAXA's future mission, the Global Change Observation Mission (GCOM) - Water (GCOM-W) satellite will be one of constellation satellites. The first generation of GCOM-W satellite is scheduled to be launched in 2011, and it carries the Advanced Microwave Scanning Radiometer 2 (AMSR2), which is being developed based on the experience of the AMSR-E on EOS Aqua satellite

  4. HIWRAP Radar Development for High-Altitude Operation on the NASA Global Hawk and ER-2

    NASA Technical Reports Server (NTRS)

    Li, Lihua; Heymsfield, Gerlad; Careswell, James; Schaubert, Dan; Creticos, Justin

    2011-01-01

    The NASA High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) is a solid-state transmitter-based, dual-frequency (Ka- and Ku-band), dual-beam (30 degree and 40 degree incidence angle), conical scan Doppler radar system, designed for operation on the NASA high-altitude (20 km) aircrafts, such as the Global Hawk Unmanned Aerial System (UAS). Supported by the NASA Instrument Incubator Program (IIP), HIWRAP was developed to provide high spatial and temporal resolution 3D wind and reflectivity data for the research of tropical cyclone and severe storms. With the simultaneous measurements at both Ku- and Ka-band two different incidence angles, HIWRAP is capable of imaging Doppler winds and volume backscattering from clouds and precipitation associated with tropical storms. In addition, HIWRAP is able to obtain ocean surface backscatter measurements for surface wind retrieval using an approach similar to QuikScat. There are three key technology advances for HIWRAP. Firstly, a compact dual-frequency, dual-beam conical scan antenna system was designed to fit the tight size and weight constraints of the aircraft platform. Secondly, The use of solid state transmitters along with a novel transmit waveform and pulse compression scheme has resulted in a system with improved performance to size, weight, and power ratios compared to typical tube based Doppler radars currently in use for clouds and precipitation measurements. Tube based radars require high voltage power supply and pressurization of the transmitter and radar front end that complicates system design and implementation. Solid state technology also significantly improves system reliability. Finally, HIWRAP technology advances also include the development of a high-speed digital receiver and processor to handle the complex receiving pulse sequences and high data rates resulting from multi receiver channels and conical scanning. This paper describes HIWRAP technology development for dual-frequency operation at

  5. Validation of High Resolution IMERG Satellite Precipitation over the Global Oceans using OceanRAIN

    NASA Astrophysics Data System (ADS)

    Kucera, Paul; Klepp, Christian

    2017-04-01

    Precipitation is a key parameter of the essential climate variables in the Earth System that is a key variable in the global water cycle. Observations of precipitation over oceans is relatively sparse. Satellite observations over oceans is the only viable means of measuring the spatially distribution of precipitation. In an effort to improve global precipitation observations, the research community has developed a state of the art precipitation dataset as part of the NASA/JAXA Global Precipitation Measurement (GPM) program. The satellite gridded product that has been developed is called Integrated Multi-satelliE Retrievals for GPM (IMERG), which has a maximum spatial resolution of 0.1° x 0.1° and temporal 30 minute. Even with the advancements in retrievals, there is a need to quantify uncertainty of IMERG especially over oceans. To address this need, the OceanRAIN dataset has been used to create a comprehensive database to compare IMERG products. The OceanRAIN dataset was collected using an ODM-470 optical disdrometer that has been deployed on 12 research vessels worldwide with 6 long-term installations operating in all climatic regions, seasons and ocean basins. More than 5.5 million data samples have been collected on the OceanRAIN program. These data were matched to IMERG grids for the study period of 15 March 2014-31 January 2016. This evaluation produced over a 1000 matched pairs with precipitation observed at the surface. These matched pairs were used to evaluate the performance of IMERG for different latitudinal bands and precipitation regimes. The presentation will provide an overview of the study and summary of evaluation results.

  6. Global distribution of moisture, evaporation-precipitation, and diabatic heating rates

    NASA Technical Reports Server (NTRS)

    Christy, John R.

    1989-01-01

    Global archives were established for ECMWF 12-hour, multilevel analysis beginning 1 January 1985; day and night IR temperatures, and solar incoming and solar absorbed. Routines were written to access these data conveniently from NASA/MSFC MASSTOR facility for diagnostic analysis. Calculations of diabatic heating rates were performed from the ECMWF data using 4-day intervals. Calculations of precipitable water (W) from 1 May 1985 were carried out using the ECMWF data. Because a major operational change on 1 May 1985 had a significant impact on the moisture field, values prior to that date are incompatible with subsequent analyses.

  7. Prime mission results of the dual-frequency precipitation radar on the global precipitation measurement core spacecraft and the version 5 GPM standard products

    NASA Astrophysics Data System (ADS)

    Furukawa, K.; Nio, T.; Oki, R.; Kubota, T.; Iguchi, T.

    2017-09-01

    The Dual-frequency Precipitation Radar (DPR) on the Global Precipitation Measurement (GPM) core satellite was developed by Japan Aerospace Exploration Agency (JAXA) and National Institute of Information and Communications Technology (NICT). The objective of the GPM mission is to observe global precipitation more frequently and accurately. The GPM core satellite is a joint product of National Aeronautics and Space Administration (NASA), JAXA and NICT. NASA developed the satellite bus and the GPM Microwave Imager (GMI), and JAXA and NICT developed the DPR. The inclination of the GPM core satellite is 65 degrees, and the nominal flight altitude is 407 km. The non-sunsynchronous circular orbit is necessary for measuring the diurnal change of rainfall. The DPR consists of two radars, which are Ku-band precipitation radar (KuPR) and Ka-band precipitation radar (KaPR). GPM core observatory was successfully launched by H2A launch vehicle on Feb. 28, 2014. DPR orbital check out was completed in May 2014. DPR products were released to the public on Sep. 2, 2014 and Normal Observation Operation period was started. JAXA is continuing DPR trend monitoring, calibration and validation operations to confirm that DPR keeps its function and performance on orbit. The results of DPR trend monitoring, calibration and validation show that DPR kept its function and performance on orbit during the 3 years and 2 months prime mission period. The DPR Prime mission period was completed in May 2017. The version 5 GPM products were released to the public in 2017. JAXA confirmed that GPM/DPR total system performance and the GPM version 5 products achieved the success criteria and the performance indicators that were defined for the JAXA GPM/DPR mission.

  8. Global Precipitation Measurement. Report 1; Summary of the First GPM Partners Planning Workshop

    NASA Technical Reports Server (NTRS)

    Shepherd, J. Marshall; Mehta, Amita; Smith, Eric A. (Editor); Adams, W. James (Editor)

    2002-01-01

    This report provides a synopsis of the proceedings of the First Global Precipitation Measurement (GPM) Partners Planning Workshop held at the University of Maryland, College Park, from May 16 to 18, 2001. GPM consists of a multi-member global satellite constellation (i.e., an international set of satellite missions) and the accompanying scientific research program, with the main goal of providing frequent, accurate, and globally distributed precipitation measurements essential in understanding several fundamental issues associated with the global water and energy cycle (GWEC). The exchange of scientific and technical information at this and subsequent GPM workshops between representatives from around the world represents a key step in the formulation phase of GPM mission development. The U.S. National Aeronautics and Space Agency (NASA), the National Space Development Agency of Japan (NASDA), and other interested agencies from nations around the world seek to observe, understand, and model the Earth system to learn how it is changing and what consequences these changes have on life, particularly as they pertain to hydrological processes and the availability of fresh water resources. GWEN processes are central to a broader understanding of the Earth system.

  9. A global satellite assisted precipitation climatology

    USGS Publications Warehouse

    Funk, Christopher C.; Verdin, Andrew P.; Michaelsen, Joel C.; Pedreros, Diego; Husak, Gregory J.; Peterson, P.

    2015-01-01

    Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and sometimes unreliable relationships between elevation and station-based precipitation records, which can result in poor performance in food and water insecure regions with sparse observation networks. These vulnerable areas (like Ethiopia, Afghanistan, or Haiti) are often the critical regions for humanitarian drought monitoring. Here, we show that long period of record geo-synchronous and polar-orbiting satellite observations provide a unique new resource for producing high resolution (0.05°) global precipitation climatologies that perform reasonably well in data sparse regions. Traditionally, global climatologies have been produced by combining station observations and physiographic predictors like latitude, longitude, elevation, and slope. While such approaches can work well, especially in areas with reasonably dense observation networks, the fundamental relationship between physiographic variables and the target climate variables can often be indirect and spatially complex. Infrared and microwave satellite observations, on the other hand, directly monitor the earth's energy emissions. These emissions often correspond physically with the location and intensity of precipitation. We show that these relationships provide a good basis for building global climatologies. We also introduce a new geospatial modeling approach based on moving window regressions and inverse distance weighting interpolation. This approach combines satellite fields, gridded physiographic indicators, and in situ climate normals. The resulting global 0.05° monthly precipitation climatology, the Climate

  10. Global Precipitation Measurement, Validation, and Applications Integrated Hydrologic Validation to Improve Physical Precipitation Retrievals for GPM

    NASA Technical Reports Server (NTRS)

    Peters-Lidar, Christa D.; Tian, Yudong; Kenneth, Tian; Harrison, Kenneth; Kumar, Sujay

    2011-01-01

    Land surface modeling and data assimilation can provide dynamic land surface state variables necessary to support physical precipitation retrieval algorithms over land. It is well-known that surface emission, particularly over the range of frequencies to be included in the Global Precipitation Measurement Mission (GPM), is sensitive to land surface states, including soil properties, vegetation type and greenness, soil moisture, surface temperature, and snow cover, density, and grain size. In order to investigate the robustness of both the land surface model states and the microwave emissivity and forward radiative transfer models, we have undertaken a multi-site investigation as part of the NASA Precipitation Measurement Missions (PMM) Land Surface Characterization Working Group. Specifically, we will demonstrate the performance of the Land Information System (LIS; http://lis.gsfc.nasa.gov; Peters-Lidard et aI., 2007; Kumar et al., 2006) coupled to the Joint Center for Satellite Data Assimilation (JCSDA's) Community Radiative Transfer Model (CRTM; Weng, 2007; van Deist, 2009). The land surface is characterized by complex physical/chemical constituents and creates temporally and spatially heterogeneous surface properties in response to microwave radiation scattering. The uncertainties in surface microwave emission (both surface radiative temperature and emissivity) and very low polarization ratio are linked to difficulties in rainfall detection using low-frequency passive microwave sensors (e.g.,Kummerow et al. 2001). Therefore, addressing these issues is of utmost importance for the GPM mission. There are many approaches to parameterizing land surface emission and radiative transfer, some of which have been customized for snow (e.g., the Helsinki University of Technology or HUT radiative transfer model;) and soil moisture (e.g., the Land Surface Microwave Emission Model or LSMEM).

  11. Identifying external influences on global precipitation

    PubMed Central

    Marvel, Kate; Bonfils, Céline

    2013-01-01

    Changes in global (ocean and land) precipitation are among the most important and least well-understood consequences of climate change. Increasing greenhouse gas concentrations are thought to affect the zonal-mean distribution of precipitation through two basic mechanisms. First, increasing temperatures will lead to an intensification of the hydrological cycle (“thermodynamic” changes). Second, changes in atmospheric circulation patterns will lead to poleward displacement of the storm tracks and subtropical dry zones and to a widening of the tropical belt (“dynamic” changes). We demonstrate that both these changes are occurring simultaneously in global precipitation, that this behavior cannot be explained by internal variability alone, and that external influences are responsible for the observed precipitation changes. Whereas existing model experiments are not of sufficient length to differentiate between natural and anthropogenic forcing terms at the 95% confidence level, we present evidence that the observed trends result from human activities. PMID:24218561

  12. Identifying external influences on global precipitation.

    PubMed

    Marvel, Kate; Bonfils, Céline

    2013-11-26

    Changes in global (ocean and land) precipitation are among the most important and least well-understood consequences of climate change. Increasing greenhouse gas concentrations are thought to affect the zonal-mean distribution of precipitation through two basic mechanisms. First, increasing temperatures will lead to an intensification of the hydrological cycle ("thermodynamic" changes). Second, changes in atmospheric circulation patterns will lead to poleward displacement of the storm tracks and subtropical dry zones and to a widening of the tropical belt ("dynamic" changes). We demonstrate that both these changes are occurring simultaneously in global precipitation, that this behavior cannot be explained by internal variability alone, and that external influences are responsible for the observed precipitation changes. Whereas existing model experiments are not of sufficient length to differentiate between natural and anthropogenic forcing terms at the 95% confidence level, we present evidence that the observed trends result from human activities.

  13. A TRMM-Based System for Real-Time Quasi-Global Merged Precipitation Estimates

    NASA Technical Reports Server (NTRS)

    Starr, David OC. (Technical Monitor); Huffman, G. J.; Adler, R. F.; Stocker, E. F.; Bolvin, D. T.; Nelkin, E. J.

    2002-01-01

    A new processing system has been developed to combine IR and microwave data into 0.25 degree x 0.25 degree gridded precipitation estimates in near-real time over the latitude band plus or minus 50 degrees. Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) precipitation estimates are used to calibrate Special Sensor Microwave/Imager (SSM/I) estimates, and Advanced Microwave Sounding Unit (AMSU) and Advanced Microwave Scanning Radiometer (AMSR) estimates, when available. The merged microwave estimates are then used to create a calibrated IR estimate in a Probability-Matched-Threshold approach for each individual hour. The microwave and IR estimates are combined for each 3-hour interval. Early results will be shown, including typical tropical and extratropical storm evolution and examples of the diurnal cycle. Major issues will be discussed, including the choice of IR algorithm, the approach for merging the IR and microwave estimates, extension to higher latitudes, retrospective processing back to 1999, and extension to the GPCP One-Degree Daily product (for which the authors are responsible). The work described here provides one approach to using data from the future NASA Global Precipitation Measurement program, which is designed to provide Jill global coverage by low-orbit passive microwave satellites every three hours beginning around 2008.

  14. Calibration Plans for the Global Precipitation Measurement (GPM)

    NASA Technical Reports Server (NTRS)

    Bidwell, S. W.; Flaming, G. M.; Adams, W. J.; Everett, D. F.; Mendelsohn, C. R.; Smith, E. A.; Turk, J.

    2002-01-01

    The Global Precipitation Measurement (GPM) is an international effort led by the National Aeronautics and Space Administration (NASA) of the U.S.A. and the National Space Development Agency of Japan (NASDA) for the purpose of improving research into the global water and energy cycle. GPM will improve climate, weather, and hydrological forecasts through more frequent and more accurate measurement of precipitation world-wide. Comprised of U.S. domestic and international partners, GPM will incorporate and assimilate data streams from many spacecraft with varied orbital characteristics and instrument capabilities. Two of the satellites will be provided directly by GPM, the core satellite and a constellation member. The core satellite, at the heart of GPM, is scheduled for launch in November 2007. The core will carry a conical scanning microwave radiometer, the GPM Microwave Imager (GMI), and a two-frequency cross-track-scanning radar, the Dual-frequency Precipitation Radar (DPR). The passive microwave channels and the two radar frequencies of the core are carefully chosen for investigating the varying character of precipitation over ocean and land, and from the tropics to the high-latitudes. The DPR will enable microphysical characterization and three-dimensional profiling of precipitation. The GPM-provided constellation spacecraft will carry a GMI radiometer identical to that on the core spacecraft. This paper presents calibration plans for the GPM, including on-board instrument calibration, external calibration methods, and the role of ground validation. Particular emphasis is on plans for inter-satellite calibration of the GPM constellation. With its Unique instrument capabilities, the core spacecraft will serve as a calibration transfer standard to the GPM constellation. In particular the Dual-frequency Precipitation Radar aboard the core will check the accuracy of retrievals from the GMI radiometer and will enable improvement of the radiometer retrievals

  15. Evaluation of Daily Extreme Precipitation Derived From Long-term Global Satellite Quantitative Precipitation Estimates (QPEs)

    NASA Astrophysics Data System (ADS)

    Prat, O. P.; Nelson, B. R.; Nickl, E.; Ferraro, R. R.

    2017-12-01

    This study evaluates the ability of different satellite-based precipitation products to capture daily precipitation extremes over the entire globe. The satellite products considered are the datasets belonging to the Reference Environmental Data Records (REDRs) program (PERSIANN-CDR, GPCP, CMORPH, AMSU-A,B, Hydrologic bundle). Those products provide long-term global records of daily adjusted Quantitative Precipitation Estimates (QPEs) that range from 20-year (CMORPH-CDR) to 35-year (PERSIANN-CDR, GPCP) record of daily adjusted global precipitation. The AMSU-A,B, Hydro-bundle is an 11-year record of daily rain rate over land and ocean, snow cover and surface temperature over land, and sea ice concentration, cloud liquid water, and total precipitable water over ocean among others. The aim of this work is to evaluate the ability of the different satellite QPE products to capture daily precipitation extremes. This evaluation will also include comparison with in-situ data sets at the daily scale from the Global Historical Climatology Network (GHCN-Daily), the Global Precipitation Climatology Centre (GPCC) gridded full data daily product, and the US Climate Reference Network (USCRN). In addition, while the products mentioned above only provide QPEs, the AMSU-A,B hydro-bundle provides additional hydrological information (precipitable water, cloud liquid water, snow cover, sea ice concentration). We will also present an analysis of those additional variables available from global satellite measurements and their relevance and complementarity in the context of long-term hydrological and climate studies.

  16. Surge Pressure Mitigation in the Global Precipitation Measurement Mission Core Propulsion System

    NASA Technical Reports Server (NTRS)

    Scroggins, Ashley R.; Fiebig, Mark D.

    2014-01-01

    The Global Precipitation Measurement (GPM) mission is an international partnership between NASA and JAXA whose Core spacecraft performs cutting-edge measurements of rainfall and snowfall worldwide and unifies data gathered by a network of precipitation measurement satellites. The Core spacecraft's propulsion system is a blowdown monopropellant system with an initial hydrazine load of 545 kg in a single composite overwrapped propellant tank. At launch, the propulsion system contained propellant in the tank and manifold tubes upstream of the latch valves, with low-pressure helium gas in the manifold tubes downstream of the latch valves. The system had a relatively high beginning-of- life pressure and long downstream manifold lines; these factors created conditions that were conducive to high surge pressures. This paper discusses the GPM project's approach to surge mitigation in the propulsion system design. The paper describes the surge testing program and results, with discussions of specific difficulties encountered. Based on the results of surge testing and pressure drop analyses, a unique configuration of cavitating venturis was chosen to mitigate surge while minimizing pressure losses during thruster maneuvers. This paper concludes with a discussion of overall lessons learned with surge pressure testing for NASA Goddard spacecraft programs.

  17. Early Results from the Global Precipitation Measurement (GPM) Mission in Japan

    NASA Astrophysics Data System (ADS)

    Kachi, Misako; Kubota, Takuji; Masaki, Takeshi; Kaneko, Yuki; Kanemaru, Kaya; Oki, Riko; Iguchi, Toshio; Nakamura, Kenji; Takayabu, Yukari N.

    2015-04-01

    The Global Precipitation Measurement (GPM) mission is an international collaboration to achieve highly accurate and highly frequent global precipitation observations. The GPM mission consists of the GPM Core Observatory jointly developed by U.S. and Japan and Constellation Satellites that carry microwave radiometers and provided by the GPM partner agencies. The Dual-frequency Precipitation Radar (DPR) was developed by the Japan Aerospace Exploration Agency (JAXA) and the National Institute of Information and Communications Technology (NICT), and installed on the GPM Core Observatory. The GPM Core Observatory chooses a non-sun-synchronous orbit to carry on diurnal cycle observations of rainfall from the Tropical Rainfall Measuring Mission (TRMM) satellite and was successfully launched at 3:37 a.m. on February 28, 2014 (JST), while the Constellation Satellites, including JAXA's Global Change Observation Mission (GCOM) - Water (GCOM-W1) or "SHIZUKU," are launched by each partner agency sometime around 2014 and contribute to expand observation coverage and increase observation frequency JAXA develops the DPR Level 1 algorithm, and the NASA-JAXA Joint Algorithm Team develops the DPR Level 2 and DPR-GMI combined Level2 algorithms. JAXA also develops the Global Rainfall Map (GPM-GSMaP) algorithm, which is a latest version of the Global Satellite Mapping of Precipitation (GSMaP), as national product to distribute hourly and 0.1-degree horizontal resolution rainfall map. Major improvements in the GPM-GSMaP algorithm is; 1) improvements in microwave imager algorithm based on AMSR2 precipitation standard algorithm, including new land algorithm, new coast detection scheme; 2) Development of orographic rainfall correction method for warm rainfall in coastal area (Taniguchi et al., 2012); 3) Update of database, including rainfall detection over land and land surface emission database; 4) Development of microwave sounder algorithm over land (Kida et al., 2012); and 5) Development

  18. A global satellite-assisted precipitation climatology

    NASA Astrophysics Data System (ADS)

    Funk, C.; Verdin, A.; Michaelsen, J.; Peterson, P.; Pedreros, D.; Husak, G.

    2015-10-01

    Accurate representations of mean climate conditions, especially in areas of complex terrain, are an important part of environmental monitoring systems. As high-resolution satellite monitoring information accumulates with the passage of time, it can be increasingly useful in efforts to better characterize the earth's mean climatology. Current state-of-the-science products rely on complex and sometimes unreliable relationships between elevation and station-based precipitation records, which can result in poor performance in food and water insecure regions with sparse observation networks. These vulnerable areas (like Ethiopia, Afghanistan, or Haiti) are often the critical regions for humanitarian drought monitoring. Here, we show that long period of record geo-synchronous and polar-orbiting satellite observations provide a unique new resource for producing high-resolution (0.05°) global precipitation climatologies that perform reasonably well in data-sparse regions. Traditionally, global climatologies have been produced by combining station observations and physiographic predictors like latitude, longitude, elevation, and slope. While such approaches can work well, especially in areas with reasonably dense observation networks, the fundamental relationship between physiographic variables and the target climate variables can often be indirect and spatially complex. Infrared and microwave satellite observations, on the other hand, directly monitor the earth's energy emissions. These emissions often correspond physically with the location and intensity of precipitation. We show that these relationships provide a good basis for building global climatologies. We also introduce a new geospatial modeling approach based on moving window regressions and inverse distance weighting interpolation. This approach combines satellite fields, gridded physiographic indicators, and in situ climate normals. The resulting global 0.05° monthly precipitation climatology, the Climate

  19. A global gridded dataset of daily precipitation going back to 1950, ideal for analysing precipitation extremes

    NASA Astrophysics Data System (ADS)

    Contractor, S.; Donat, M.; Alexander, L. V.

    2017-12-01

    Reliable observations of precipitation are necessary to determine past changes in precipitation and validate models, allowing for reliable future projections. Existing gauge based gridded datasets of daily precipitation and satellite based observations contain artefacts and have a short length of record, making them unsuitable to analyse precipitation extremes. The largest limiting factor for the gauge based datasets is a dense and reliable station network. Currently, there are two major data archives of global in situ daily rainfall data, first is Global Historical Station Network (GHCN-Daily) hosted by National Oceanic and Atmospheric Administration (NOAA) and the other by Global Precipitation Climatology Centre (GPCC) part of the Deutsche Wetterdienst (DWD). We combine the two data archives and use automated quality control techniques to create a reliable long term network of raw station data, which we then interpolate using block kriging to create a global gridded dataset of daily precipitation going back to 1950. We compare our interpolated dataset with existing global gridded data of daily precipitation: NOAA Climate Prediction Centre (CPC) Global V1.0 and GPCC Full Data Daily Version 1.0, as well as various regional datasets. We find that our raw station density is much higher than other datasets. To avoid artefacts due to station network variability, we provide multiple versions of our dataset based on various completeness criteria, as well as provide the standard deviation, kriging error and number of stations for each grid cell and timestep to encourage responsible use of our dataset. Despite our efforts to increase the raw data density, the in situ station network remains sparse in India after the 1960s and in Africa throughout the timespan of the dataset. Our dataset would allow for more reliable global analyses of rainfall including its extremes and pave the way for better global precipitation observations with lower and more transparent uncertainties.

  20. Global Precipitation Measurement (GPM) Spacecraft Lithium Ion Battery Micro-Cycling Investigation

    NASA Technical Reports Server (NTRS)

    Dakermanji, George; Lee, Leonine; Spitzer, Thomas

    2016-01-01

    The Global Precipitation Measurement (GPM) spacecraft was jointly developed by NASA and JAXA. It is a Low Earth Orbit (LEO) spacecraft launched on February 27, 2014. The power system is a Direct Energy Transfer (DET) system designed to support 1950 watts orbit average power. The batteries use SONY 18650HC cells and consist of three 8s by 84p batteries operated in parallel as a single battery. During instrument integration with the spacecraft, large current transients were observed in the battery. Investigation into the matter traced the cause to the Dual-Frequency Precipitation Radar (DPR) phased array radar which generates cyclical high rate current transients on the spacecraft power bus. The power system electronics interaction with these transients resulted in the current transients in the battery. An accelerated test program was developed to bound the effect, and to assess the impact to the mission.

  1. Global Terrestrial Patterns of Precipitation Change under a Warming Climate

    NASA Astrophysics Data System (ADS)

    Guo, R.

    2017-12-01

    Terrestrial global warming has occurred over the last century, especially since the 1950s. This study analyzes changes in global terrestrial precipitation patterns in period of 1950-2010 in an attempt to identify the influence of climate change on precipitation. The results indicate that there is no significant change globally or across latitude bands; nevertheless significant regional differences in precipitation changes are identified. The lack of a change in precipitation levels, or precipitation balance, at both the global and latitudinal band scales is a result of offsetting by opposing precipitation changes at the regional scales. Clear opposing precipitation change patterns appeared in the Northern Hemisphere mid-latitude band (NHM). Significant increases in precipitation were distributed throughout the western extent of NHM, including the North America, Europe and west of Central Asia, while decreases were observed over the eastern extent, namely, East Asia. A dynamical adjustment methodology was applied to precipitation data, which could identify the roles of atmospheric circulation (dynamic) and the residual (thermodynamic) forcing played in generating the opposing regional precipitation changes in the NHM. Distinct different changes of dynamic and thermodynamic precipitation were found in different regions. Increased precipitation in North America and southern Europe were caused by thermodynamic precipitation, while the dynamic precipitation presented decreased trend due to the positive sea level pressure trend. However, in northern Europe and west of Central Asia, dynamic and thermodynamic precipitation both contributed to the increased precipitation, but thermodynamic precipitation had larger amplitude. In East Asia, the decreased precipitation was a result of simultaneous decrease in dynamic and thermodynamic precipitation.

  2. Preparations for Global Precipitation Measurement(GPM)Ground Validation

    NASA Technical Reports Server (NTRS)

    Bidwell, S. W.; Bibyk, I. K.; Duming, J. F.; Everett, D. F.; Smith, E. A.; Wolff, D. B.

    2004-01-01

    The Global Precipitation Measurement (GPM) program is an international partnership led by the National Aeronautics and Space Administration (NASA) and the Japan Aerospace Exploration Agency (JAXA). GPM will improve climate, weather, and hydro-meterorological forecasts through more frequent and more accurate measurement of precipitation across the globe. This paper describes the concept and the preparations for Ground Validation within the GPM program. Ground Validation (GV) plays a critical role in the program by investigating and quantitatively assessing the errors within the satellite retrievals. These quantitative estimates of retrieval errors will assist the scientific community by bounding the errors within their research products. The two fundamental requirements of the GPM Ground Validation program are: (1) error characterization of the precipitation retrievals and (2) continual improvement of the satellite retrieval algorithms. These two driving requirements determine the measurements, instrumentation, and location for ground observations. This paper describes GV plans for estimating the systematic and random components of retrieval error and for characterizing the spatial and temporal structure of the error. This paper describes the GPM program for algorithm improvement in which error models are developed and experimentally explored to uncover the physical causes of errors within the retrievals. GPM will ensure that information gained through Ground Validation is applied to future improvements in the spaceborne retrieval algorithms. This paper discusses the potential locations for validation measurement and research, the anticipated contributions of GPM's international partners, and the interaction of Ground Validation with other GPM program elements.

  3. Evaluation of global fine-resolution precipitation products and their uncertainty quantification in ensemble discharge simulations

    NASA Astrophysics Data System (ADS)

    Qi, W.; Zhang, C.; Fu, G.; Sweetapple, C.; Zhou, H.

    2016-02-01

    The applicability of six fine-resolution precipitation products, including precipitation radar, infrared, microwave and gauge-based products, using different precipitation computation recipes, is evaluated using statistical and hydrological methods in northeastern China. In addition, a framework quantifying uncertainty contributions of precipitation products, hydrological models, and their interactions to uncertainties in ensemble discharges is proposed. The investigated precipitation products are Tropical Rainfall Measuring Mission (TRMM) products (TRMM3B42 and TRMM3B42RT), Global Land Data Assimilation System (GLDAS)/Noah, Asian Precipitation - Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and a Global Satellite Mapping of Precipitation (GSMAP-MVK+) product. Two hydrological models of different complexities, i.e. a water and energy budget-based distributed hydrological model and a physically based semi-distributed hydrological model, are employed to investigate the influence of hydrological models on simulated discharges. Results show APHRODITE has high accuracy at a monthly scale compared with other products, and GSMAP-MVK+ shows huge advantage and is better than TRMM3B42 in relative bias (RB), Nash-Sutcliffe coefficient of efficiency (NSE), root mean square error (RMSE), correlation coefficient (CC), false alarm ratio, and critical success index. These findings could be very useful for validation, refinement, and future development of satellite-based products (e.g. NASA Global Precipitation Measurement). Although large uncertainty exists in heavy precipitation, hydrological models contribute most of the uncertainty in extreme discharges. Interactions between precipitation products and hydrological models can have the similar magnitude of contribution to discharge uncertainty as the hydrological models. A

  4. Application of Observed Precipitation in NCEP Global and Regional Data Assimilation Systems, Including Reanalysis and Land Data Assimilation

    NASA Astrophysics Data System (ADS)

    Mitchell, K. E.

    2006-12-01

    precipitation analyses by other institutions. Other global precipitation analyses produced by other methodologies are also used by EMC in certain applications, such as CPC's well-known satellite-IR based technique known as "GPI", and satellite-microwave based estimates from NESDIS or NASA. Finally, the presentation will cover the three assimilation methods used by EMC to assimilate precipitation data, including 1) 3D-VAR variational assimilation in NCEP's Global Data Assimilation System (GDAS), 2) direct insertion of precipitation-inferred vertical latent heating profiles in NCEP's N. American Data Assimilation System (NDAS) and its N. American Regional Reanalysis (NARR) counterpart, and 3) direct use of observed precipitation to drive the Noah land model component of NCEP's Global and N. American Land Data Assimilation Systems (GLDAS and NLDAS). In the applications of precipitation analyses in data assimilation at NCEP, the analyses are temporally disaggregated to hourly or less using time-weights calculated from A) either radar-based estimates or an analysis of hourly gauge-observations for the CONUS-domain daily precipitation analyses, or B) global model forecasts of 6-hourly precipitation (followed by linear interpolation to hourly or less) for the global CMAP precipitation analysis.

  5. NASA Global Hawk: Project Overview and Future Plans

    NASA Technical Reports Server (NTRS)

    Naftel, J. Chris

    2011-01-01

    The National Aeronautics and Space Administration (NASA) Global Hawk Project became operational in 2009 and began support of Earth science in 2010. Thus far, the NASA Global Hawk has completed three Earth science campaigns and preparations are under way for two extensive multi-year campaigns. One of the most desired performance capabilities of the Global Hawk aircraft is very long endurance: the Global Hawk aircraft can remain airborne longer than almost all other jet-powered aircraft currently flying, and longer than all other aircraft available for airborne science use. This paper describes the NASA Global Hawk system, payload accommodations, concept of operations, and the scientific data-gathering campaigns.

  6. Precipitation Recycling in the NASA GEOS Data Assimilation System

    NASA Technical Reports Server (NTRS)

    Bosilovich, Michael G.; Schubert, Siegfried; Molod, Andrea; Takacs, Lawrence L.

    1999-01-01

    Analysis of precipitation recycling can improve the understanding of regional hydrologic anomalies, especially their evolution and maintenance. Diagnostic models of the recycling of precipitation and are applied to 15 years of the NASA Goddard Earth Observing System (GEOS) Data Assimilation System (DAS). Recycled precipitation is defined as the fraction of precipitation within a given region that originated as surface evaporation from the same region. The focus of the present work is on the interannual variability of the central United States hydrologic cycle and precipitation recycling. The extreme years of 1988 (drought) and 1993 (flood) are compared with the 15 year base period mean annual cycle. The results indicate that recycling ratio (the amount of precipitation with a local source relative to the total precipitation) is greater in 1988 than both the base period mean and the 1993 season (with 1993 recycling ratio less than the mean). On the other hand, both the summers of 1988 and 1993 show less total recycled precipitation than the mean. The results also show that precipitation recycling may have been more important in the spring of 1993, when the region was primed for flooding, than the summer, when the sever flooding occurred. The diagnostic approaches to precipitation recycling suffer from some weaknesses. Numerical simulations and assimilation using passive tracers have the potential to provide more accurate calculations of precipitation recycling and the remote sources of water. This ability is being incorporated into the latest GEOS data assimilation system, and some preliminary results will be presented.

  7. Global Precipitation Patterns Associated with ENSO and Tropical Circulations

    NASA Technical Reports Server (NTRS)

    Curtis, Scott; Adler, Robert; Huffman, George; Bolvin, David; Nelkin, Eric

    1999-01-01

    Tropical precipitation and the accompanying latent heat release is the engine that drives the global circulation. An increase or decrease in rainfall in the tropics not only leads to the local effects of flooding or drought, but contributes to changes in the large scale circulation and global climate system. Rainfall in the tropics is highly variable, both seasonally (monsoons) and interannually (ENSO). Two experimental observational data sets, developed under the auspices of the Global Precipitation Climatology Project (GPCP), are used in this study to examine the relationships between global precipitation and ENSO and extreme monsoon events over the past 20 years. The V2x79 monthly product is a globally complete, 2.5 deg x 2.5 deg, satellite-gauge merged data set that covers the period 1979 to the present. Indices based on patterns of satellite-derived rainfall anomalies in the Pacific are used to analyze the teleconnections between ENSO and global precipitation, with emphasis on the monsoon systems. It has been well documented that dry (wet) Asian monsoons accompany warm (cold) ENSO events. However, during the summer seasons of the 1997/98 ENSO the precipitation anomalies were mostly positive over India and the Bay of Bengal, which may be related to an epoch-scale variability in the Asian monsoon circulation. The North American monsoon may be less well linked to ENSO, but a positive precipitation anomaly was observed over Mexico around the September following the 1997/98 event. For the twenty-year record, precipitation and SST patterns in the tropics are analyzed during wet and dry monsoons. For the Asian summer monsoon, positive rainfall anomalies accompany two distinct patterns of tropical precipitation and a warm Indian Ocean. Negative anomalies coincide with a wet Maritime Continent.

  8. A Global-Scale Examination of Monsoon-Related Precipitation.

    NASA Astrophysics Data System (ADS)

    Janowiak, John E.; Xie, Pingping

    2003-12-01

    A pentad version of the Global Precipitation Climatology Project global precipitation dataset is used to document the annual and interannual variations in precipitation over monsoon regions around the globe. An algorithm is described that determines objectively wet season onset and withdrawal for individual years, and this tool is used to examine the behavior of various characteristics of the major monsoon systems. The definition of onset and withdrawal are determined by examining the ramp-up and diminution of rainfall within the context of the climatological rainfall at each location. Also examined are interannual variations in onset and withdrawal and their relationship to rainy season precipitation accumulations. Changes in the distribution of “heavy” and “light” precipitation events are examined for years in which “abundant” and “poor” wet seasons are observed, and associations with variations in large-scale atmospheric general circulation features are also examined. In particular, some regions of the world have strong associations between wet season rainfall and global-scale patterns of 200-hPa streamfunction anomalies.

  9. OLYMPEX: A Global Precipitation Mission (GPM) Ground Validation Campaign on the Olympic Peninsula in the Pacific Northwest

    NASA Astrophysics Data System (ADS)

    McMurdie, L. A.; Houze, R.; Lundquist, J. D.; Mass, C.; Petersen, W. A.; Schwaller, M.

    2014-12-01

    The Global Precipitation Measurement (GPM) Mission was successfully launched at 1837 UTC 27 February 2014 with the first space-borne Ku/Ka band Dual Frequency Precipitation Radar and a passive microwave radiometer (channels ranging from 10-183 GHz). The primary objective of the Core satellite is to measure rain and snow globally, determine its 3D structure, and act as the calibration satellite for a constellation of GPM passive microwave satellites. In order to assess how remotely sensed precipitation can be applied to a range of data applications, ground validation (GV) field campaigns are crucial. As such, the Olympic Mountains Experiment (OLYMPEX) is planned for November 2015 - February 2016. The Olympic Peninsula in Washington State is an ideal location to conduct a GV campaign. It is situated within an active mid-latitude winter storm track and receives among the highest annual precipitation amounts in North America. In one compact area, the Olympic peninsula ranges from ocean to coast to land to mountains. It contains a permanent snowfield and numerous associated river basins. This unique venue will enable the field campaign to monitor both upstream precipitation characteristics and processes over the ocean and their modification over complex terrain. The scientific goals of the OLYMPEX field campaign include physical validation of satellite algorithms, precipitation mechanisms in complex terrain, hydrological applications, and modeling studies. In order to address these goals, a wide variety of existing and new observations are planned. These include surface observing networks of meteorological stations, rain and snow gauges, surface microphysical measurements, and snowpack surveys. Several radars will be deployed including the NASA S-Band dual-polarimetric and NASA Dual-Frequency Dual-Polarimetric Doppler radars, the Canadian x-band radar, and other mobile radars. Several instrumented aircraft are likely to participate such as the NASA DC-8 and the

  10. NASA HS3 Global Hawk on the Wing

    NASA Image and Video Library

    2013-08-30

    The NASA Wallops T-34 chase aircraft intercepted Global Hawk 872 on its descent to runway 28 at NASA's Wallops Flight Facility in Wallops Island, Va. This photo of the Global Hawk was taken from the chase plane after finishing its third science flight. For more information about NASA's HS3 mission, visit: www.nasa.gov/HS3 Credit: NASA/ Brea Reeves NASA image use policy. NASA Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram

  11. The Version 2 Global Precipitation Climatology Project (GPCP) Monthly Precipitation Analysis (1979-Present)

    NASA Technical Reports Server (NTRS)

    Adler, Robert F.; Huffman, George J.; Chang, Alfred; Ferraro, Ralph; Xie, Ping-Ping; Janowiak, John; Rudolf, Bruno; Schneider, Udo; Curtis, Scott; Bolvin, David

    2003-01-01

    The Global Precipitation Climatology Project (GPCP) Version 2 Monthly Precipitation Analysis is described. This globally complete, monthly analysis of surface precipitation at 2.5 degrees x 2.5 degrees latitude-longitude resolution is available from January 1979 to the present. It is a merged analysis that incorporates precipitation estimates from low-orbit-satellite microwave data, geosynchronous-orbit-satellite infrared data, and rain gauge observations. The merging approach utilizes the higher accuracy of the low-orbit microwave observations to calibrate, or adjust, the more frequent geosynchronous infrared observations. The data set is extended back into the premicrowave era (before 1987) by using infrared-only observations calibrated to the microwave-based analysis of the later years. The combined satellite-based product is adjusted by the raingauge analysis. This monthly analysis is the foundation for the GPCP suite of products including those at finer temporal resolution, satellite estimate, and error estimates for each field. The 23-year GPCP climatology is characterized, along with time and space variations of precipitation.

  12. Global Precipitation Measurement (GPM) Orbit Design and Autonomous Maneuvers

    NASA Technical Reports Server (NTRS)

    Folta, David; Mendelsohn, Chad

    2003-01-01

    The NASA Goddard Space Flight Center's Global Precipitation Measurement (GPM) mission will meet a challenge of measuring worldwide precipitation every three hours. The GPM spacecraft, part of a constellation, will be required to maintain a circular orbit in a high drag environment to accomplish this challenge. Analysis by the Flight Dynamics Analysis Branch has shown that the prime orbit altitude of 40% is necessary to prevent ground track repeating. Combined with goals to minimize maneuver impacts to science data collection and enabling reasonable long-term orbit predictions, the GPM project has decided to fly an autonomous maneuver system. This system is a derivative of the successful New Millennium Program technology flown onboard the Earth Observing-1 mission. This paper presents the driving science requirements and goals of the mission and shows how they will be met. Analysis of the orbit optimization and the AV requirements for several ballistic properties are presented. The architecture of the autonomous maneuvering system to meet the goals and requirements is presented along with simulations using a GPM prototype. Additionally, the use of the GPM autonomous system to mitigate possible collision avoidance and to aid other spacecraft systems during navigation outages is explored.

  13. The new portfolio of global precipitation data products of the Global Precipitation Climatology Centre suitable to assess and quantify the global water cycle and resources

    NASA Astrophysics Data System (ADS)

    Schneider, Udo; Ziese, Markus; Meyer-Christoffer, Anja; Finger, Peter; Rustemeier, Elke; Becker, Andreas

    2016-10-01

    Precipitation plays an important role in the global energy and water cycle. Accurate knowledge of precipitation amounts reaching the land surface is of special importance for fresh water assessment and management related to land use, agriculture and hydrology, incl. risk reduction of flood and drought. High interest in long-term precipitation analyses arises from the needs to assess climate change and its impacts on all spatial scales. In this framework, the Global Precipitation Climatology Centre (GPCC) has been established in 1989 on request of the World Meteorological Organization (WMO). It is operated by Deutscher Wetterdienst (DWD, National Meteorological Service of Germany) as a German contribution to the World Climate Research Programme (WCRP). This paper provides information on the most recent update of GPCC's gridded data product portfolio including example use cases.

  14. The Global Distribution of Precipitation and Clouds. Chapter 2.4

    NASA Technical Reports Server (NTRS)

    Shepherd, J. Marshall; Adler, Robert; Huffman, George; Rossow, William; Ritter, Michael; Curtis, Scott

    2004-01-01

    The water cycle is the key circuit moving water through the Earth's system. This large system, powered by energy from the sun, is a continuous exchange of moisture between the oceans, the atmosphere, and the land. Precipitation (including rain, snow, sleet, freezing rain, and hail), is the primary mechanism for transporting water from the atmosphere back to the Earth's surface and is the key physical process that links aspects of climate, weather, and the global water cycle. Global precipitation and associate cloud processes are critical for understanding the water cycle balance on a global scale and interactions with the Earth's climate system. However, unlike measurement of less dynamic and more homogenous meteorological fields such as pressure or even temperature, accurate assessment of global precipitation is particularly challenging due to its highly stochastic and rapidly changing nature. It is not uncommon to observe a broad spectrum of precipitation rates and distributions over very localized time scales. Furthermore, precipitating systems generally exhibit nonhomogeneous spatial distributions of rain rates over local to global domains.

  15. Gauge Adjusted Global Satellite Mapping of Precipitation (GSMAP_GAUGE)

    NASA Astrophysics Data System (ADS)

    Mega, T.; Ushio, T.; Yoshida, S.; Kawasaki, Z.; Kubota, T.; Kachi, M.; Aonashi, K.; Shige, S.

    2013-12-01

    Precipitation is one of the most important parameters on the earth system, and the global distribution of precipitation and its change are essential data for modeling the water cycle, maintaining the ecosystem environment, agricultural production, improvements of the weather forecast precision, flood warning and so on. The GPM (Global Precipitation Measurement) project is led mainly by the United States and Japan, and is now being actively promoted in Europe, France, India, and China with international cooperation. In this project, the microwave radiometers observing microwave emission from rain will be placed on many low-orbit satellites, to reduce the interval to about 3 hours in observation time for each location on the earth. However, the problem of sampling error arises if the global precipitation estimates are less than three hours. Therefore, it is necessary to utilize a gap-filling technique to generate precipitation maps with high temporal resolution, which is quite important for operational uses such as flash flood warning systems. Global Satellite Mapping of Precipitation (GSMaP) project was established by the Japan Science and Technology Agency (JST) in 2002 to produce global precipitation products with high resolution and high precision from not only microwave radiometers but also geostationary infrared radiometers. Currently, the GSMaP_MVK product has been successfully producing fairly good pictures in near real time, and the products shows a comparable score compared with other high-resolution precipitation systems (Ushio et al. 2009 and Kubota et al. 2009). However some evaluations particularly of the operational applications show the tendency of underestimation compared to some ground based observations for the cases showing extremely high precipitation rates. This is partly because the spatial and temporal samplings of the satellite estimates are different from that of the ground based estimates. The microwave imager observes signals from

  16. Global Precipitation Measurement Program and the Development of Dual-Frequency Precipitation Radar

    NASA Technical Reports Server (NTRS)

    Iguchi, Toshio; Oki, Riko; Smith, Eric A.; Furuhama, Yoji

    2002-01-01

    The Global Precipitation Measurement (GPM) program is a mission to measure precipitation from space, and is a similar but much expanded mission of the Tropical Rainfall Measuring Mission. Its scope is not limited to scientific research, but includes practical and operational applications such as weather forecasting and water resource management. To meet the requirements of operational use, the GPM uses multiple low-orbiting satellites to increase the sampling frequency and to create three-hourly global rain maps that will be delivered to the world in quasi-real time. A dual-frequency radar (DPR) will be installed on the primary satellite that plays an important role in the whole mission. The DPR will realize measurement of precipitation with high sensitivity, high precision and high resolutions. This paper describes an outline of the GPM program, its issues and the roles and development of the DPR.

  17. Global Precipitation Measurement. Report 2; Benefits of Partnering with GPM Mission

    NASA Technical Reports Server (NTRS)

    Stocker, Erich F.; Smith, Eric A. (Editor); Adams, W. James (Editor); Starr, David OC. (Technical Monitor)

    2002-01-01

    An important goal of the Global Precipitation Measurement (GPM) mission is to maximize participation by non-NASA partners both domestic and international. A consequence of this objective is the provision for NASA to provide sufficient incentives to achieve partner buy-in and commitment to the program. NASA has identified seven specific areas in which substantive incentives will be offered: (1) partners will be offered participation in governance of GPM mission science affairs including definition of data products; (2) partners will be offered use of NASA's TDRSS capability for uplink and downlink of commands and data in regards to partner provided spacecraft; (3) partners will be offered launch support for placing partner provided spacecraft in orbit conditional upon mutually agreeable co-manifest arrangements; (4) partners will be offered direct data access at the NASA-GPM server level rather than through standard data distribution channels; (5) partners will be offered the opportunity to serve as regional data archive and distribution centers for standard GPM data products; and (6) partners will be offered the option to insert their own specialized filtering and extraction software into the GPM data processing stream or to obtain specialized subsets and products over specific areas of interest (7) partners will be offered GPM developed software tools that can be run on their platforms. Each of these incentives, either individually or in combination, represents a significant advantage to partners who may wish to participate in the GPM mission.

  18. UC Irvine CHRS iRain - An Integrated System for Global Real-time Precipitation Observation

    NASA Astrophysics Data System (ADS)

    Tran, H.; Nguyen, P.; Huynh, P.; Palacios, T.; Braithwaite, D.; Hsu, K. L.; Sorooshian, S.

    2016-12-01

    CHRS iRain developed by the Center for Hydrometeorology and Remote Sensing (CHRS), University of California, Irvine is an integrated system for global real-time rainfall observation and visualization using multiple data sources from satellites, radars, gauges, and crowd sourcing. Its backbone is the Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Cloud Classification System (PERSIANN-CCS, Hong et al. 2004). Apart from using traditional PERSIANN technique (Hsu et al. 1997), the PERSIANN-CCS also applies image processing and pattern recognition techniques, which significantly improve its accuracy as well as its temporal and spatial resolution (in hourly and 4 km x 4 km respectively). Although satellite-based precipitation products are developing fast, they are still relatively new compared with other precipitation observations by traditional measuring methods, such as radar or rain gauges. CHRS iRain also provides hourly precipitation information from NCEP Stage IV multi-sensor (radar + gauges) products and gauges with over 2000 NOAA River Forecast Center stations. On the website, users can retrieve data of the most recent 72 hour precipitation over different spatial regions regarding their own interests such as grid coordinate, rectangle, watershed, basin, political division, and country. CHRS iRain is a useful tool that provides important global rainfall information for water resources management and decision making for natural disasters such as flash floods, urban flooding, and river flooding. ACKNOWLEDGMENTSWe would like to acknowledge NASA, NOAA Office of Hydrologic Development (OHD) National Weather Service (NWS), Cooperative Institue for Climate and Satellites (CICS), Army Research Office (ARO), ICIWaRM, and UNESCO for supporting this research.

  19. NASA Global Hawk Overview

    NASA Technical Reports Server (NTRS)

    2011-01-01

    NASA Global Hawk is operational and supporting Earth science research. 29 Flights were conducted during the first year of operations, with a total of 253 flight hours. Three major science campaigns have been conducted with all objectives met. Two new science campaigns are in the planning stage

  20. Validation and Development of the GPCP Experimental One-Degree Daily (1DD) Global Precipitation Product

    NASA Technical Reports Server (NTRS)

    Huffman, George J.; Adler, Robert F.; Bolvin, David T.; Einaud, Franco (Technical Monitor)

    2000-01-01

    observed by low-orbit satellites, so a fair amount of work must be devoted to analyzing the effect of data boundaries. This work is laying, the groundwork for effective use of the NASA Global Precipitation Mission, which will have full Global coverage by low-orbit passive microwave satellites every three hours.

  1. Global salinity predictors of western United States precipitation

    NASA Astrophysics Data System (ADS)

    Liu, T.; Schmitt, R. W.; Li, L.

    2016-12-01

    Moisture transport from the excess of evaporation over precipitation in the global ocean drives terrestrial precipitation patterns. Sea surface salinity (SSS) is sensitive to changes in ocean evaporation and precipitation, and therefore, to changes in the global water cycle. We use the Met Office Hadley Centre EN4.2.0 SSS dataset to search for teleconnections between autumn-lead seasonal salinity signals and winter precipitation over the western United States. NOAA CPC Unified observational US precipitation in winter months is extracted from bounding boxes over the northwest and southwest and averaged. Lead autumn SON SSS in ocean areas that are relatively highly correlated with winter DJF terrestrial precipitation are filtered by a size threshold and treated as individual predictors. After removing linear trends from the response and explanatory variables and accounting for multiple collinearity, we use best subsets regression and the Bayesian information criterion (BIC) to objectively select the best model to predict terrestrial precipitation using SSS and SST predictors. The combination of autumn SSS and SST predictors can skillfully predict western US winter terrestrial precipitation (R2 = 0.51 for the US Northwest and R2 = 0.7 for the US Southwest). In both cases, SSS is a better predictor than SST. Thus, incorporating SSS can greatly enhance the accuracy of existing precipitation prediction frameworks that use SST-based climate indices and by extension improve watershed management.

  2. Variations in Global Precipitation: Climate-scale to Floods

    NASA Technical Reports Server (NTRS)

    Adler, Robert

    2006-01-01

    Variations in global precipitation from climate-scale to small scale are examined using satellite-based analyses of the Global Precipitation Climatology Project (GPCP) and information from the Tropical Rainfall Measuring Mission (TRMM). Global and large regional rainfall variations and possible long-term changes are examined using the 27- year (1979-2005) monthly dataset from the GPCP. In addition to global patterns associated with phenomena such as ENSO, the data set is explored for evidence of longterm change. Although the global change of precipitation in the data set is near zero, the data set does indicate a small upward trend in the Tropics (25S-25N), especially over ocean. Techniques are derived to isolate and eliminate variations due to ENS0 and major volcanic eruptions and the significance of the trend is examined. The status of TRMM estimates is examined in terms of evaluating and improving the long-term global data set. To look at rainfall variations on a much smaller scale TRMM data is used in combination with observations from other satellites to produce a 3-hr resolution, eight-year data set for examination of weather events and for practical applications such as detecting floods. Characteristics of the data set are presented and examples of recent flood events are examined.

  3. Development of a global historic monthly mean precipitation dataset

    NASA Astrophysics Data System (ADS)

    Yang, Su; Xu, Wenhui; Xu, Yan; Li, Qingxiang

    2016-04-01

    Global historic precipitation dataset is the base for climate and water cycle research. There have been several global historic land surface precipitation datasets developed by international data centers such as the US National Climatic Data Center (NCDC), European Climate Assessment & Dataset project team, Met Office, etc., but so far there are no such datasets developed by any research institute in China. In addition, each dataset has its own focus of study region, and the existing global precipitation datasets only contain sparse observational stations over China, which may result in uncertainties in East Asian precipitation studies. In order to take into account comprehensive historic information, users might need to employ two or more datasets. However, the non-uniform data formats, data units, station IDs, and so on add extra difficulties for users to exploit these datasets. For this reason, a complete historic precipitation dataset that takes advantages of various datasets has been developed and produced in the National Meteorological Information Center of China. Precipitation observations from 12 sources are aggregated, and the data formats, data units, and station IDs are unified. Duplicated stations with the same ID are identified, with duplicated observations removed. Consistency test, correlation coefficient test, significance t-test at the 95% confidence level, and significance F-test at the 95% confidence level are conducted first to ensure the data reliability. Only those datasets that satisfy all the above four criteria are integrated to produce the China Meteorological Administration global precipitation (CGP) historic precipitation dataset version 1.0. It contains observations at 31 thousand stations with 1.87 × 107 data records, among which 4152 time series of precipitation are longer than 100 yr. This dataset plays a critical role in climate research due to its advantages in large data volume and high density of station network, compared to

  4. The use of NASA GEOS Global Analysis in MM5/WRF Initialization: Current Studies and Future Applications

    NASA Technical Reports Server (NTRS)

    Pu, Zhao-Xia; Tao, Wei-Kuo

    2004-01-01

    An effort has been made at NASA/GSFC to use the Goddard Earth Observing system (GEOS) global analysis in generating the initial and boundary conditions for MM5/WRF simulation. This linkage between GEOS global analysis and MM5/WRF models has made possible for a few useful applications. As one of the sample studies, a series of MM5 simulations were conducted to test the sensitivity of initial and boundary conditions to MM5 simulated precipitation over the eastern; USA. Global analyses horn different operational centers (e.g., NCEP, ECMWF, I U ASA/GSFCj were used to provide first guess field and boundary conditions for MM5. Numerical simulations were performed for one- week period over the eastern coast areas of USA. the distribution and quantities of MM5 simulated precipitation were compared. Results will be presented in the workshop. In addition,other applications from recent and future studies will also be addressed.

  5. Global Precipitation Measurement (GPM) Orbit Design and Autonomous Maneuvers

    NASA Technical Reports Server (NTRS)

    Folta, David; Mendelsohn, Chad; Mailhe, Laurie

    2003-01-01

    The NASA Goddard Space Flight Center's Global Precipitation Measurement (GPM) mission must meet the challenge of measuring worldwide precipitation every three hours. The GPM core spacecraft, part of a constellation, will be required to maintain a circular orbit in a high drag environment at a near-critical inclination. Analysis shows that a mean orbit altitude of 407 km is necessary to prevent ground track repeating. Combined with goals to minimize maneuver operation impacts to science data collection and to enable reasonable long-term orbit predictions, the GPM project has decided to fly the GSFC autonomous maneuver system, AutoCon(TM). This system is a follow-up version of the highly successful New Millennium Program technology flown onboard the Earth Observing-1 formation flying mission. This paper presents the driving science requirements and goals of the GPM mission and shows how they will be met. Selection of the mean semi-major axis, eccentricity, and the AV budget for several ballistic properties are presented. The architecture of the autonomous maneuvering system to meet the goals and requirements is presented along with simulations using GPM parameters. Additionally, the use of the GPM autonomous system to mitigate possible collision avoidance and to aid other spacecraft systems during navigation outages is explored.

  6. Increasing importance of precipitation variability on global livestock grazing lands

    NASA Astrophysics Data System (ADS)

    Sloat, Lindsey L.; Gerber, James S.; Samberg, Leah H.; Smith, William K.; Herrero, Mario; Ferreira, Laerte G.; Godde, Cécile M.; West, Paul C.

    2018-03-01

    Pastures and rangelands underpin global meat and milk production and are a critical resource for millions of people dependent on livestock for food security1,2. Forage growth, which is highly climate dependent3,4, is potentially vulnerable to climate change, although precisely where and to what extent remains relatively unexplored. In this study, we assess climate-based threats to global pastures, with a specific focus on changes in within- and between-year precipitation variability (precipitation concentration index (PCI) and coefficient of variation of precipitation (CVP), respectively). Relating global satellite measures of vegetation greenness (such as the Normalized Difference Vegetation Index; NDVI) to key climatic factors reveals that CVP is a significant, yet often overlooked, constraint on vegetation productivity across global pastures. Using independent stocking data, we found that areas with high CVP support lower livestock densities than less-variable regions. Globally, pastures experience about a 25% greater year-to-year precipitation variation (CVP = 0.27) than the average global land surface area (0.21). Over the past century, CVP has generally increased across pasture areas, although both positive (49% of pasture area) and negative (31% of pasture area) trends exist. We identify regions in which livestock grazing is important for local food access and economies, and discuss the potential for pasture intensification in the context of long-term regional trends in precipitation variability.

  7. Biogeochemical carbon coupling influences global precipitation in geoengineering experiments

    NASA Astrophysics Data System (ADS)

    Fyfe, J. C.; Cole, J. N. S.; Arora, V. K.; Scinocca, J. F.

    2013-02-01

    Abstract Climate model studies in which CO2-induced <span class="hlt">global</span> warming is offset by engineered decreases of incoming solar radiation are generally robust in their prediction of reduced amounts of <span class="hlt">global</span> <span class="hlt">precipitation</span>. While this <span class="hlt">precipitation</span> response has been explained on the basis of changes in net radiation controlling evaporative processes at the surface, there has been relatively little consideration of the relative role of biogeochemical carbon-cycle interactions. To address this issue, we employ an Earth System Model that includes oceanic and terrestrial carbon components to isolate the impact of biogeochemical carbon coupling on the <span class="hlt">precipitation</span> response in geoengineering experiments for two types of solar radiation management. We show that carbon coupling is responsible for a large fraction of the <span class="hlt">global</span> <span class="hlt">precipitation</span> reduction in such geoengineering experiments and that the primary effect comes from reduced transpiration through the leaves of plants and trees in the terrestrial component of the carbon cycle due to elevated CO2. Our results suggest that biogeochemical interactions are as important as changes in net radiation and that climate models that do not account for such carbon coupling may significantly underestimate <span class="hlt">precipitation</span> reductions in a geoengineered world.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20010023035&hterms=DRONE+QUADRONE&qs=Ntx%3Dmode%2Bmatchany%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DDRONE%2BQUADRONE','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20010023035&hterms=DRONE+QUADRONE&qs=Ntx%3Dmode%2Bmatchany%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DDRONE%2BQUADRONE"><span>A Plan for Measuring Climatic Scale <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Variability: The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>The outstanding success of the Tropical Rainfall Measuring Mission (TRMM) stemmed from a near flawless launch and deployment, a highly successful measurement campaign, achievement of all original scientific objectives before the mission life had ended, and the accomplishment of a number of unanticipated but important additional scientific advances. This success and the realization that satellite rainfall datasets are now a foremost tool in the understanding of decadal climate variability has helped motivate a comprehensive <span class="hlt">global</span> rainfall measuring mission, called 'The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission' (GPM). The intent of this mission is to address looming scientific questions arising in the context of <span class="hlt">global</span> climate-water cycle interactions, hydrometeorology, weather prediction, the <span class="hlt">global</span> carbon budget, and atmosphere-biosphere-cryosphere chemistry. This paper addresses the status of that mission currently planed for launch in the early 2007 time frame. The GPM design involves a nine-member satellite constellation, one of which will be an advanced TRMM-like 'core' satellite carrying a dual-frequency Ku-Ka band radar (df-PR) and a TMI-like radiometer. The other eight members of the constellation can be considered drones to the core satellite, each carrying some type of passive microwave radiometer measuring across the 10.7-85 GHz frequency range, likely based on both real and synthetic aperture antenna technology and to include a combination of new lightweight dedicated GPM drones and both co-existing operational and experimental satellites carrying passive microwave radiometers (i.e., SSM/l, AMSR, etc.). The constellation is designed to provide a minimum of three-hour sampling at any spot on the globe using sun-synchronous orbit architecture, with the core satellite providing relevant measurements on internal cloud <span class="hlt">precipitation</span> microphysical processes. The core satellite also enables 'training' and 'calibration' of the drone retrieval process. Additional</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H34E..08T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H34E..08T"><span>The Sensitivity of Regional <span class="hlt">Precipitation</span> to <span class="hlt">Global</span> Temperature Change and Forcings</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tebaldi, C.; O'Neill, B. C.; Lamarque, J. F.</p> <p>2016-12-01</p> <p><span class="hlt">Global</span> policies are most commonly formulated in terms of climate targets, like the much talked about 1.5° and 2°C warming thresholds identified as critical by the recent Paris agreements. But what does a target defined in terms of a <span class="hlt">globally</span> averaged quantity mean in terms of expected regional changes? And, in particular, what should we expect in terms of significant changes in <span class="hlt">precipitation</span> over specific regional domains for these and other incrementally different <span class="hlt">global</span> goals? In this talk I will summarize the result of an analysis that aimed at characterizing the sensitivity of regional temperatures and <span class="hlt">precipitation</span> amounts to changes in <span class="hlt">global</span> average temperature. The analysis uses results from a multi-model ensemble (CMIP5), which allows us to address structural uncertainty in future projections, a type of uncertainty particularly relevant when considering <span class="hlt">precipitation</span> changes. I will show what type of changes in <span class="hlt">global</span> temperature and forcing levels bring about significant and pervasive changes in regional <span class="hlt">precipitation</span>, contrasting its sensitivity to that of regional temperature changes. Because of the large internal variability of regional <span class="hlt">precipitation</span>, I will show that significant changes in average regional <span class="hlt">precipitation</span> can be detected only for fairly large separations (on the order of 2.5° or 3°C) in <span class="hlt">global</span> average temperature levels, differently from the much higher sensitivity shown by regional temperatures.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AtmRe.197....1T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AtmRe.197....1T"><span><span class="hlt">Global</span> <span class="hlt">precipitation</span> measurements for validating climate models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tapiador, F. J.; Navarro, A.; Levizzani, V.; García-Ortega, E.; Huffman, G. J.; Kidd, C.; Kucera, P. A.; Kummerow, C. D.; Masunaga, H.; Petersen, W. A.; Roca, R.; Sánchez, J.-L.; Tao, W.-K.; Turk, F. J.</p> <p>2017-11-01</p> <p>The advent of <span class="hlt">global</span> <span class="hlt">precipitation</span> data sets with increasing temporal span has made it possible to use them for validating climate models. In order to fulfill the requirement of <span class="hlt">global</span> coverage, existing products integrate satellite-derived retrievals from many sensors with direct ground observations (gauges, disdrometers, radars), which are used as reference for the satellites. While the resulting product can be deemed as the best-available source of quality validation data, awareness of the limitations of such data sets is important to avoid extracting wrong or unsubstantiated conclusions when assessing climate model abilities. This paper provides guidance on the use of <span class="hlt">precipitation</span> data sets for climate research, including model validation and verification for improving physical parameterizations. The strengths and limitations of the data sets for climate modeling applications are presented, and a protocol for quality assurance of both observational databases and models is discussed. The paper helps elaborating the recent IPCC AR5 acknowledgment of large observational uncertainties in <span class="hlt">precipitation</span> observations for climate model validation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H21Q..03T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H21Q..03T"><span>Implementing a <span class="hlt">Global</span> Tool for Mercy Corps Based on Spatially Continuous <span class="hlt">Precipitation</span> Analysis for Resiliency Monitoring and Measuring at the Community-Scale</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tomlin, J. N.; El-Behaedi, R.; McCartney, S.; Lingo, R.; Thieme, A.</p> <p>2017-12-01</p> <p><span class="hlt">Global</span> water resources are important for societies, economies, and the environment. In Niger, limited water resources restrict the expansion of agriculture and communities. Mercy Corps currently works in over 40 countries around the world to address a variety of stresses which include water resources and building long-term food resilience. As Mercy Corps seeks to integrate the use of Earth observations, <span class="hlt">NASA</span> has established a partnership to help facilitate this effort incorporating Tropical Rainfall Measuring Mission (TRMM), <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM), and Climate Hazards Group InfraRed <span class="hlt">Precipitation</span> with Station (CHIRPS) data to create a standardized <span class="hlt">precipitation</span> index that highlights low and high rainfall from 1981 - 2016. The team created a Google Earth Engine tool that combines <span class="hlt">precipitation</span> data with other metrics of stress in Niger. The system is designed to be able to incorporate groundwater storage data as it becomes available. This tool allows for near real-time updates of trends in <span class="hlt">precipitation</span> and improves Mercy Corps' ability to spatially evaluate changes in resiliency by monitoring shocks and stressors.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090006641','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090006641"><span>Applications of TRMM-based Multi-Satellite <span class="hlt">Precipitation</span> Estimation for <span class="hlt">Global</span> Runoff Simulation: Prototyping a <span class="hlt">Global</span> Flood Monitoring System</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hong, Yang; Adler, Robert F.; Huffman, George J.; Pierce, Harold</p> <p>2008-01-01</p> <p>Advances in flood monitoring/forecasting have been constrained by the difficulty in estimating rainfall continuously over space (catchment-, national-, continental-, or even <span class="hlt">global</span>-scale areas) and flood-relevant time scale. With the recent availability of satellite rainfall estimates at fine time and space resolution, this paper describes a prototype research framework for <span class="hlt">global</span> flood monitoring by combining real-time satellite observations with a database of <span class="hlt">global</span> terrestrial characteristics through a hydrologically relevant modeling scheme. Four major components included in the framework are (1) real-time <span class="hlt">precipitation</span> input from <span class="hlt">NASA</span> TRMM-based Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA); (2) a central geospatial database to preprocess the land surface characteristics: water divides, slopes, soils, land use, flow directions, flow accumulation, drainage network etc.; (3) a modified distributed hydrological model to convert rainfall to runoff and route the flow through the stream network in order to predict the timing and severity of the flood wave, and (4) an open-access web interface to quickly disseminate flood alerts for potential decision-making. Retrospective simulations for 1998-2006 demonstrate that the <span class="hlt">Global</span> Flood Monitor (GFM) system performs consistently at both station and catchment levels. The GFM website (experimental version) has been running at near real-time in an effort to offer a cost-effective solution to the ultimate challenge of building natural disaster early warning systems for the data-sparse regions of the world. The interactive GFM website shows close-up maps of the flood risks overlaid on topography/population or integrated with the Google-Earth visualization tool. One additional capability, which extends forecast lead-time by assimilating QPF into the GFM, also will be implemented in the future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMGC41A0952L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMGC41A0952L"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Responses to Land Hydrological Processes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lo, M.; Famiglietti, J. S.</p> <p>2012-12-01</p> <p>Several studies have established that soil moisture increases after adding a groundwater component in land surface models due to the additional supply of subsurface water. However, impacts of groundwater on the spatial-temporal variability of <span class="hlt">precipitation</span> have received little attention. Through the coupled groundwater-land-atmosphere model (NCAR Community Atmosphere Model + Community Land Model) simulations, this study explores how groundwater representation in the model alters the <span class="hlt">precipitation</span> spatiotemporal distributions. Results indicate that the effect of groundwater on the amount of <span class="hlt">precipitation</span> is not <span class="hlt">globally</span> homogeneous. Lower tropospheric water vapor increases due to the presence of groundwater in the model. The increased water vapor destabilizes the atmosphere and enhances the vertical upward velocity and <span class="hlt">precipitation</span> in tropical convective regions. <span class="hlt">Precipitation</span>, therefore, is inhibited in the descending branch of convection. As a result, an asymmetric dipole is produced over tropical land regions along the equator during the summer. This is analogous to the "rich-get-richer" mechanism proposed by previous studies. Moreover, groundwater also increased short-term (seasonal) and long-term (interannual) memory of <span class="hlt">precipitation</span> for some regions with suitable groundwater table depth and found to be a function of water table depth. Based on the spatial distributions of the one-month-lag autocorrelation coefficients as well as Hurst coefficients, air-land interaction can occur from short (several months) to long (several years) time scales. This study indicates the importance of land hydrological processes in the climate system and the necessity of including the subsurface processes in the <span class="hlt">global</span> climate models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140010540','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140010540"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement: Methods, Datasets and Applications</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tapiador, Francisco; Turk, Francis J.; Petersen, Walt; Hou, Arthur Y.; Garcia-Ortega, Eduardo; Machado, Luiz, A. T.; Angelis, Carlos F.; Salio, Paola; Kidd, Chris; Huffman, George J.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140010540'); toggleEditAbsImage('author_20140010540_show'); toggleEditAbsImage('author_20140010540_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140010540_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140010540_hide"></p> <p>2011-01-01</p> <p>This paper reviews the many aspects of <span class="hlt">precipitation</span> measurement that are relevant to providing an accurate <span class="hlt">global</span> assessment of this important environmental parameter. Methods discussed include ground data, satellite estimates and numerical models. First, the methods for measuring, estimating, and modeling <span class="hlt">precipitation</span> are discussed. Then, the most relevant datasets gathering <span class="hlt">precipitation</span> information from those three sources are presented. The third part of the paper illustrates a number of the many applications of those measurements and databases. The aim of the paper is to organize the many links and feedbacks between <span class="hlt">precipitation</span> measurement, estimation and modeling, indicating the uncertainties and limitations of each technique in order to identify areas requiring further attention, and to show the limits within which datasets can be used.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20000068519','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20000068519"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> at One-Degree Daily Resolution From Multi-Satellite Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Morrissey, Mark M.; Curtis, Scott; Joyce, Robert; McGavock, Brad; Susskind, Joel</p> <p>2000-01-01</p> <p>The One-Degree Daily (1DD) technique is described for producing <span class="hlt">globally</span> complete daily estimates of <span class="hlt">precipitation</span> on a 1 deg x 1 deg lat/long grid from currently available observational data. Where possible (40 deg N-40 deg S), the Threshold-Matched <span class="hlt">Precipitation</span> Index (TMPI) provides <span class="hlt">precipitation</span> estimates in which the 3-hourly infrared brightness temperatures (IR T(sub b)) are thresholded and all "cold" pixels are given a single <span class="hlt">precipitation</span> rate. This approach is an adaptation of the Geostationary Operational Environmental Satellite (GOES) <span class="hlt">Precipitation</span> Index (GPI), but for the TMPI the IR Tb threshold and conditional rain rate are set locally by month from Special Sensor Microwave/Imager (SSM/I)-based <span class="hlt">precipitation</span> frequency and the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) satellite-gauge (SG) combined monthly <span class="hlt">precipitation</span> estimate, respectively. At higher latitudes the 1DD features a rescaled daily Television Infrared Observation Satellite (TIROS) Operational Vertical Sounder (TOVS) <span class="hlt">precipitation</span>. The frequency of rain days in the TOVS is scaled down to match that in the TMPI at the data boundaries, and the resulting non-zero TOVS values are scaled locally to sum to the SG (which is a <span class="hlt">globally</span> complete monthly product). The time series of the daily 1DD <span class="hlt">global</span> images shows good continuity in time and across the data boundaries. Various examples are shown to illustrate uses. Validation for individual grid -box values shows a very high root-mean-square error but, it improves quickly when users perform time/space averaging according to their own requirements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020009010&hterms=scientific+collections&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dscientific%2Bcollections','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020009010&hterms=scientific+collections&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dscientific%2Bcollections"><span>Overview and Scientific Agenda of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p>This paper addresses the status of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) currently planned for launch in the 2007-2008 time frame. The GPM notional design involves a 9-member satellite constellation, one of which wilt be an advanced TRMM-like "core" satellite carrying a dual-frequency Ku-Ka band radar (DFPR) and a TMI-like radiometer. The other eight members of the constellation will be considered daughters of the core satellite, each carrying some type of passive microwave radiometer measuring across the 10.7 - 85 GHz ,frequency range - likely to include a combination of lightweight satellites and co-existing operational/Experimental satellites carrying passive microwave radiometers (i.e., SSM/I and AMSR-E & -F). The constellation is designed to provide no worse than 3-hour sampling at any spot on the globe using sun-synchronous orbit architecture for the daughter satellites, with the core satellite providing relevant measurements on internal cloud-<span class="hlt">precipitation</span> microphysical processes and the "training-calibrating" information for retrieval algorithms used on daughter satellite measurements. The GPM is organized internationally, currently involving a partnership between <span class="hlt">NASA</span> in the US, NASDA in Japan, and ESA in Europe (representing the European community nations). The mission is expected to involve additional international participants, sister agencies to the mainstream space agencies, and a diverse collection scientists from academia, government, and the private sector, A critical element in understanding the scientific thinking which has motivated the GPM project is an understanding of what scientific problems TRMM has and has not been able to address and at what scales. The TRMM satellite broke important scientific ground because it carried to space an array of rain-sensitive instruments, two of which were specifically designed for physical <span class="hlt">precipitation</span> retrieval. These were the 9-channel TRMM Microwave Imager (TMI) and the 13.8 GHz <span class="hlt">Precipitation</span> Radar (PR</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070005792&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070005792&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM"><span>Impact of TRMM and SSM/I-derived <span class="hlt">Precipitation</span> and Moisture Data on the GEOS <span class="hlt">Global</span> Analysis</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur Y.; Zhang, Sara Q.; daSilva, Arlindo M.; Olson, William S.</p> <p>1999-01-01</p> <p>Current <span class="hlt">global</span> analyses contain significant errors in primary hydrological fields such as <span class="hlt">precipitation</span>, evaporation, and related cloud and moisture in the tropics. The Data Assimilation Office at <span class="hlt">NASA</span>'s Goddard Space Flight Center has been exploring the use of space-based rainfall and total <span class="hlt">precipitable</span> water (TPW) estimates to constrain these hydrological parameters in the Goddard Earth Observing System (GEOS) <span class="hlt">global</span> data assimilation system. We present results showing that assimilating the 6-hour averaged rain rates and TPW estimates from the Tropical Rainfall Measuring Mission (TRMM) and Special Sensor Microwave/Imager (SSM/I) instruments improves not only the <span class="hlt">precipitation</span> and moisture estimates but also reduce state-dependent systematic errors in key climate parameters directly linked to convection such as the outgoing longwave radiation, clouds, and the large-scale circulation. The improved analysis also improves short-range forecasts beyond 1 day, but the impact is relatively modest compared with improvements in the time-averaged analysis. The study shows that, in the presence of biases and other errors of the forecast model, improving the short-range forecast is not necessarily prerequisite for improving the assimilation as a climate data set. The full impact of a given type of observation on the assimilated data set should not be measured solely in terms of forecast skills.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.6131K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.6131K"><span>Recent results of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission in Japan</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kubota, Takuji; Oki, Riko; Furukawa, Kinji; Kaneko, Yuki; Yamaji, Moeka; Iguchi, Toshio; Takayabu, Yukari</p> <p>2017-04-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission is an international collaboration to achieve highly accurate and highly frequent <span class="hlt">global</span> <span class="hlt">precipitation</span> observations. The GPM mission consists of the GPM Core Observatory jointly developed by U.S. and Japan and Constellation Satellites that carry microwave radiometers and provided by the GPM partner agencies. The GPM Core Observatory, launched on February 2014, carries the Dual-frequency <span class="hlt">Precipitation</span> Radar (DPR) by the Japan Aerospace Exploration Agency (JAXA) and the National Institute of Information and Communications Technology (NICT). JAXA develops the DPR Level 1 algorithm, and the <span class="hlt">NASA</span>-JAXA Joint Algorithm Team develops the DPR Level 2 and DPR-GMI combined Level2 algorithms. The Japan Meteorological Agency (JMA) started the DPR assimilation in the meso-scale Numerical Weather Prediction (NWP) system on March 24 2016. This was regarded as the world's first "operational" assimilation of spaceborne radar data in the NWP system of meteorological agencies. JAXA also develops the <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> (GSMaP), as national product to distribute hourly and 0.1-degree horizontal resolution rainfall map. The GSMaP near-real-time version (GSMaP_NRT) product is available 4-hour after observation through the "JAXA <span class="hlt">Global</span> Rainfall Watch" web site (http://sharaku.eorc.jaxa.jp/GSMaP) since 2008. The GSMaP_NRT product gives higher priority to data latency than accuracy, and has been used by various users for various purposes, such as rainfall monitoring, flood alert and warning, drought monitoring, crop yield forecast, and agricultural insurance. There is, however, a requirement for shortening of data latency time from GSMaP users. To reduce data latency, JAXA has developed the GSMaP realtime version (GSMaP_NOW) product for observation area of the geostationary satellite Himawari-8 operated by the Japan Meteorological Agency (JMA). GSMaP_NOW product was released to public in November 2, 2015 through the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020061292&hterms=Enron&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DEnron','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020061292&hterms=Enron&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DEnron"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Analyses at Time Scales of Monthly to 3-Hourly</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Huffman, George; Curtis, Scott; Bolvin, David; Nelkin, Eric; Einaudi, Franco (Technical Monitor)</p> <p>2002-01-01</p> <p><span class="hlt">Global</span> <span class="hlt">precipitation</span> analysis covering the last few decades and the impact of the new TRMM <span class="hlt">precipitation</span> observations are discussed. The 20+ year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis of the World Climate Research Program's (WCRP/GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is used to explore <span class="hlt">global</span> and regional variations and trends and is compared to the much shorter TRMM (Tropical Rainfall Measuring Mission) tropical data set. The GPCP data set shows no significant trend in <span class="hlt">precipitation</span> over the twenty years, unlike the positive trend in <span class="hlt">global</span> surface temperatures over the past century. Regional trends are also analyzed. A trend pattern that is a combination of both El Nino and La Nina <span class="hlt">precipitation</span> features is evident in the Goodyear data set. This pattern is related to an increase with time in the number of combined months of El Nino and La Nina during the Goodyear period. Monthly anomalies of <span class="hlt">precipitation</span> are related to ENRON variations with clear signals extending into middle and high latitudes of both hemispheres. The GPCP daily, 1 degree latitude-longitude analysis, which is available from January 1997 to the present is described and the evolution of <span class="hlt">precipitation</span> patterns on this time scale related to El Nino and La Nina is described. Finally, a TRMM-based Based analysis is described that uses TRMM to calibrate polar-orbit microwave observations from SSM/I and geosynchronous OR observations and merges the various calibrated observations into a final, Baehr resolution map. This TRMM standard product will be available for the entire TRMM period (January Represent). A real-time version of this merged product is being produced and is available at 0.25 degree latitude-longitude resolution over the latitude range from 50 deg. N -50 deg. S. Examples will be shown, including its use in monitoring flood conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090019745','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090019745"><span><span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk: A New Tool for Earth Science Research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Naftel, J. Chris</p> <p>2009-01-01</p> <p>Scientists have eagerly anticipated the performance capability of the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) <span class="hlt">Global</span> Hawk for over a decade. In 2009 this capability becomes operational. One of the most desired performance capabilities of the <span class="hlt">Global</span> Hawk aircraft is very long endurance. The <span class="hlt">Global</span> Hawk aircraft can remain airborne longer than almost all other jet-powered aircraft currently flying, and longer than all other aircraft available for airborne science use. This paper describes the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk system, payload accommodations, concept of operations, and the first scientific data-gathering mission: <span class="hlt">Global</span> Hawk Pacific 2009.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li class="active"><span>9</span></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_9 --> <div id="page_10" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="181"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017SGeo...38..679A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017SGeo...38..679A"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span>: Means, Variations and Trends During the Satellite Era (1979-2014)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Adler, Robert F.; Gu, Guojun; Sapiano, Matthew; Wang, Jian-Jian; Huffman, George J.</p> <p>2017-07-01</p> <p><span class="hlt">Global</span> <span class="hlt">precipitation</span> variations over the satellite era are reviewed using the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) monthly, <span class="hlt">globally</span> complete analyses, which integrate satellite and surface gauge information. Mean planetary values are examined and compared, over ocean, with information from recent satellite programs and related estimates, with generally positive agreements, but with some indication of small underestimates for GPCP over the <span class="hlt">global</span> ocean. Variations during the satellite era in <span class="hlt">global</span> <span class="hlt">precipitation</span> are tied to ENSO events, with small increases during El Ninos, and very noticeable decreases after major volcanic eruptions. No overall significant trend is noted in the <span class="hlt">global</span> <span class="hlt">precipitation</span> mean value, unlike that for surface temperature and atmospheric water vapor. However, there is a pattern of positive and negative trends across the planet with increases over tropical oceans and decreases over some middle latitude regions. These observed patterns are a result of a combination of inter-decadal variations and the effect of the <span class="hlt">global</span> warming during the period. The results reviewed here indicate the value of such analyses as GPCP and the possible improvement in the information as the record lengthens and as new, more sophisticated and more accurate observations are included.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20080030251','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20080030251"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Project</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Azarbarazin, Ardeshir Art; Carlisle, Candace C.</p> <p>2008-01-01</p> <p>The GIobd <span class="hlt">Precipitation</span> hleasurement (GPM) mission is an international cooperatiee ffort to advance weather, climate, and hydrological predictions through space-based <span class="hlt">precipitation</span> measurements. The Core Observatory will be a reference standard to uniform11 calibrate data from a constellatism of spacecraft with passive microuave sensors. GP3l mission data will be used for scientific research as well as societal applications. GPM is being developed under a partnership between the United States (US) National .Aeronautics and Space Administration (XASA) and the Japanese Aerospace and Exploration Agency (JAYA). <span class="hlt">NASA</span> is developing the Core Observatory, a Low-Inclination Constellation Observatory, two GPM Rlicrowave Imager (GXII) instruments. Ground Validation System and <span class="hlt">Precipitation</span> Processing System for the GPRl mission. JAXA will provide a Dual-frequency <span class="hlt">Precipitation</span> Radar (DPR) for installation on the Core satellite and launch services for the Core Observatory. Other US agencies and international partners contribute to the GPkf mission by providing <span class="hlt">precipitation</span> measurements obtained from their own spacecraft and,'or providing ground-based <span class="hlt">precipitation</span> measurements to support ground validation activities. The GPM Core Observatory will be placed in a low earth orbit (-400 krn) with 65-degree inclination, in order to calibrate partner instruments in a variety of orbits. The Core Observatory accommodates 3 instruments. The GkfI instrument provides measurements of <span class="hlt">precipitation</span> intensity and distribution. The DPR consists of Ka and Ku band instruments, and provides threedimensional measurements of cloud structure, <span class="hlt">precipitation</span> particle size distribution and <span class="hlt">precipitation</span> intensitj and distribution. The instruments are key drivers for GPM Core Observatory overall size (1 1.6m x 6.5m x 5.0m) and mass (3500kg), as well as the significant (-1 950U.3 power requirement. The Core Spacecraft is being built in-house at Goddard Space Flight Center. The spacecraft structure</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A41E0089D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A41E0089D"><span>Examination of Satellite and Model Reanalysis <span class="hlt">Precipitation</span> with Climate Oscillations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Donato, T. F.; Houser, P. R.</p> <p>2016-12-01</p> <p>The purpose of this study is to examine the efficacy of satellite and model reanalysis <span class="hlt">precipitation</span> with climate oscillations. Specifically, we examine and compare the relationship between the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climate Project (GPCP) with Modern-Era Retrospective Analysis for Research and Application, Version 2 (MERRA-2) in regards to four climate indices: The North Atlantic Oscillation, Southern Oscillation Index, the Southern Annular Mode and Solar Activity. This analysis covers a 35-year observation period from 1980 through 2015. We ask two questions: How is <span class="hlt">global</span> and regional <span class="hlt">precipitation</span> changing over the observation period, and how are <span class="hlt">global</span> and regional variations in <span class="hlt">precipitation</span> related to <span class="hlt">global</span> climate variation? We explore and compare <span class="hlt">global</span> and regional <span class="hlt">precipitation</span> trends between the two data sets. To do this, we constructed a total of 56 Regions of Interest (ROI). Nineteen of the ROIs were focused on geographic regions including continents, ocean basins, and marginal seas. Twelve ROIs examine hemispheric processes. The remaining 26 regions are derived from spatial-temporal classification analysis of GPCP data over a ten-year period (2001-2010). These regions include the primary wet and dry monsoon regions, regions influenced by western boundary currents, and orography. We investigate and interpret the monthly, seasonal and yearly <span class="hlt">global</span> and regional response to the selected climate indices. Initial results indicate that no correlation exist between the GPCP data and Merra-2 data. Preliminary qualitative assessment between GCPC and solar activity suggest a possible relationship in intra-annual variability. This work is performed under the State of the <span class="hlt">Global</span> Water and Energy Cycle (SWEC) project, a <span class="hlt">NASA</span>-sponsored program in support of <span class="hlt">NASA</span>'s Energy and Water cycle Study (NEWS).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070012403','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070012403"><span><span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk: A Unique Capability for the Pursuit of Earth Science</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Naftel, J. Chris</p> <p>2007-01-01</p> <p>For more than 2 years, the <span class="hlt">NASA</span> Dryden Flight Research Center has been preparing for the receipt of two Advanced Concept Technology Demonstration <span class="hlt">Global</span> Hawk air vehicles from the United States Air Force. <span class="hlt">NASA</span> Dryden intends to establish a <span class="hlt">Global</span> Hawk Project Office, which will be responsible for developing the infrastructure required to operate this unmanned aerial system and establishing a trained maintenance and operations team. The first flight of a <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk air vehicle is expected to occur in 2008. The <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk system can be used by a variety of customers, including U.S. Government agencies, civilian organizations, universities, and state governments. Initially, the main focus of the research activities is expected to be Earth science related. A combination of the vehicle s range, endurance, altitude, payload power, payload volume, and payload weight capabilities separates the <span class="hlt">Global</span> Hawk unmanned aerial system from all other platforms available to the science community. This report describes the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk system and current plans for the <span class="hlt">NASA</span> air vehicle concept of operations, and provides examples of potential missions with an emphasis on science missions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1710000S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1710000S"><span>Orographic <span class="hlt">precipitation</span> at <span class="hlt">global</span> and regional scales: Observational uncertainty and evaluation of 25-km <span class="hlt">global</span> model simulations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schiemann, Reinhard; Roberts, Charles J.; Bush, Stephanie; Demory, Marie-Estelle; Strachan, Jane; Vidale, Pier Luigi; Mizielinski, Matthew S.; Roberts, Malcolm J.</p> <p>2015-04-01</p> <p><span class="hlt">Precipitation</span> over land exhibits a high degree of variability due to the complex interaction of the <span class="hlt">precipitation</span> generating atmospheric processes with coastlines, the heterogeneous land surface, and orography. <span class="hlt">Global</span> general circulation models (GCMs) have traditionally had very limited ability to capture this variability on the mesoscale (here ~50-500 km) due to their low resolution. This has changed with recent investments in resolution and ensembles of multidecadal climate simulations of atmospheric GCMs (AGCMs) with ~25 km grid spacing are becoming increasingly available. Here, we evaluate the mesoscale <span class="hlt">precipitation</span> distribution in one such set of simulations obtained in the UPSCALE (UK on PrACE - weather-resolving Simulations of Climate for <span class="hlt">globAL</span> Environmental risk) modelling campaign with the HadGEM-GA3 AGCM. Increased model resolution also poses new challenges to the observational datasets used to evaluate models. <span class="hlt">Global</span> gridded data products such as those provided by the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) are invaluable for assessing large-scale features of the <span class="hlt">precipitation</span> distribution but may not sufficiently resolve mesoscale structures. In the absence of independent estimates, the intercomparison of different observational datasets may be the only way to get some insight into the uncertainties associated with these observations. Here, we focus on mid-latitude continental regions where observations based on higher-density gauge networks are available in addition to the <span class="hlt">global</span> data sets: Europe/the Alps, South and East Asia, and the continental US. The ability of GCMs to represent mesoscale variability is of interest in its own right, as climate information on this scale is required by impact studies. An additional motivation for the research proposed here arises from continuing efforts to quantify the components of the <span class="hlt">global</span> radiation budget and water cycle. Recent estimates based on radiation measurements suggest that the <span class="hlt">global</span> mean</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020081015&hterms=water+cycles&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dwater%2Bcycles','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020081015&hterms=water+cycles&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Dwater%2Bcycles"><span>Advances in Understanding <span class="hlt">Global</span> Water Cycle with Advent of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.; Starr, David (Technical Monitor)</p> <p>2002-01-01</p> <p>Within this decade the internationally organized <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission will take an important step in creating a <span class="hlt">global</span> <span class="hlt">precipitation</span> observing system from space. One perspective for understanding the nature of GPM is that it will be a hierarchical system of datastreams beginning with very high caliber combined dual frequency radar/passive microwave (PMW) rain-radiometer retrievals, to high caliber PMW rain-radiometer only retrievals, and then on to blends of the former datastreams with additional lower-caliber PMW-based and IR-based rain retrievals. Within the context of the now emerging <span class="hlt">global</span> water & energy cycle (GWEC) programs of a number of research agencies throughout the world, GPM serves as a centerpiece space mission for improving our understanding of the <span class="hlt">global</span> water cycle from a <span class="hlt">global</span> measurement perspective. One of the salient problems within our current understanding of the <span class="hlt">global</span> water and energy cycle is determining whether a change in the rate of the water cycle is accompanying changes in climate, e.g., climate warming. As there are a number of ways in which to define a rate-change of the <span class="hlt">global</span> water cycle, it is not entirely clear as to what constitutes such a determination. This paper presents an overview of the GPM Mission and how its observations can be used within the framework of the oceanic and continental water budget equations to determine whether a given perturbation in <span class="hlt">precipitation</span> is indicative of an actual rate change in the <span class="hlt">global</span> water cycle, consistent with required responses in water storage and/or water flux transport processes, or whether it is the natural variability of a fixed rate cycle.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1424119','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1424119"><span>Significance of aerosol radiative effect in energy balance control on <span class="hlt">global</span> <span class="hlt">precipitation</span> change</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Suzuki, Kentaroh; Stephens, Graeme L.; Golaz, Jean-Christophe</p> <p></p> <p>Historical changes of <span class="hlt">global</span> <span class="hlt">precipitation</span> in the 20th century simulated by a climate model are investigated. The results simulated with alternate configurations of cloud microphysics are analyzed in the context of energy balance controls on <span class="hlt">global</span> <span class="hlt">precipitation</span>, where the latent heat changes associated with the <span class="hlt">precipitation</span> change is nearly balanced with changes to atmospheric radiative cooling. The atmospheric radiative cooling is dominated by its clear-sky component, which is found to correlate with changes to both column water vapor and aerosol optical depth (AOD). The water vapor-dependent component of the clear-sky radiative cooling is then found to scale with <span class="hlt">global</span> temperaturemore » change through the Clausius–Clapeyron relationship. This component results in a tendency of <span class="hlt">global</span> <span class="hlt">precipitation</span> increase with increasing temperature at a rate of approximately 2%K -1. Another component of the clear-sky radiative cooling, which is well correlated with changes to AOD, is also found to vary in magnitude among different scenarios with alternate configurations of cloud microphysics that controls the <span class="hlt">precipitation</span> efficiency, a major factor influencing the aerosol scavenging process that can lead to different aerosol loadings. These results propose how different characteristics of cloud microphysics can cause different aerosol loadings that in turn perturb <span class="hlt">global</span> energy balance to significantly change <span class="hlt">global</span> <span class="hlt">precipitation</span>. This implies a possible coupling of aerosol–cloud interaction with aerosol–radiation interaction in the context of <span class="hlt">global</span> energy balance.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1424119-significance-aerosol-radiative-effect-energy-balance-control-global-precipitation-change','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1424119-significance-aerosol-radiative-effect-energy-balance-control-global-precipitation-change"><span>Significance of aerosol radiative effect in energy balance control on <span class="hlt">global</span> <span class="hlt">precipitation</span> change</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Suzuki, Kentaroh; Stephens, Graeme L.; Golaz, Jean-Christophe</p> <p>2017-10-17</p> <p>Historical changes of <span class="hlt">global</span> <span class="hlt">precipitation</span> in the 20th century simulated by a climate model are investigated. The results simulated with alternate configurations of cloud microphysics are analyzed in the context of energy balance controls on <span class="hlt">global</span> <span class="hlt">precipitation</span>, where the latent heat changes associated with the <span class="hlt">precipitation</span> change is nearly balanced with changes to atmospheric radiative cooling. The atmospheric radiative cooling is dominated by its clear-sky component, which is found to correlate with changes to both column water vapor and aerosol optical depth (AOD). The water vapor-dependent component of the clear-sky radiative cooling is then found to scale with <span class="hlt">global</span> temperaturemore » change through the Clausius–Clapeyron relationship. This component results in a tendency of <span class="hlt">global</span> <span class="hlt">precipitation</span> increase with increasing temperature at a rate of approximately 2%K -1. Another component of the clear-sky radiative cooling, which is well correlated with changes to AOD, is also found to vary in magnitude among different scenarios with alternate configurations of cloud microphysics that controls the <span class="hlt">precipitation</span> efficiency, a major factor influencing the aerosol scavenging process that can lead to different aerosol loadings. These results propose how different characteristics of cloud microphysics can cause different aerosol loadings that in turn perturb <span class="hlt">global</span> energy balance to significantly change <span class="hlt">global</span> <span class="hlt">precipitation</span>. This implies a possible coupling of aerosol–cloud interaction with aerosol–radiation interaction in the context of <span class="hlt">global</span> energy balance.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.B33C0417T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.B33C0417T"><span>Retrospective Analog Year Analyses Using <span class="hlt">NASA</span> Satellite <span class="hlt">Precipitation</span> and Soil Moisture Data to Improve USDA's World Agricultural Supply and Demand Estimates</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Teng, W. L.; Shannon, H.</p> <p>2010-12-01</p> <p>The USDA World Agricultural Outlook Board (WAOB) coordinates the development of the monthly World Agricultural Supply and Demand Estimates (WASDE) for the U.S. and major foreign producing countries. Given the significant effect of weather on crop progress, conditions, and production, WAOB prepares frequent agricultural weather assessments in the <span class="hlt">Global</span> Agricultural Decision Support Environment (GLADSE). Because the timing of the <span class="hlt">precipitation</span> is often as important as the amount, in their effects on crop production, WAOB frequently examines <span class="hlt">precipitation</span> time series to estimate crop productivity. An effective method for such assessment is the use of analog year comparisons, where <span class="hlt">precipitation</span> time series, based on surface weather stations, from several historical years are compared with the time series from the current year. Once analog years are identified, crop yields can be estimated for the current season based on observed yields from the analog years, because of the similarities in the <span class="hlt">precipitation</span> patterns. In this study, <span class="hlt">NASA</span> satellite <span class="hlt">precipitation</span> and soil moisture time series are used to identify analog years. Given that soil moisture often has a more direct effect than does <span class="hlt">precipitation</span> on crop water availability, the time series of soil moisture could be more effective than that of <span class="hlt">precipitation</span>, in identifying those years with similar crop yields. Retrospective analyses of analogs will be conducted to determine any reduction in the level of uncertainty in identifying analog years, and any reduction in false negatives or false positives. The comparison of analog years could potentially be improved by quantifying the selection of analogs, instead of the current visual inspection method. Various approaches to quantifying are currently being evaluated. This study is part of a larger effort to improve WAOB estimates by integrating <span class="hlt">NASA</span> remote sensing soil moisture observations and research results into GLADSE, including (1) the integration of the Land</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMPA23A4030N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMPA23A4030N"><span>Monitoring <span class="hlt">Global</span> <span class="hlt">Precipitation</span> through UCI CHRS's RainMapper App on Mobile Devices</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nguyen, P.; Huynh, P.; Braithwaite, D.; Hsu, K. L.; Sorooshian, S.</p> <p>2014-12-01</p> <p>The Water and Development Information for Arid Lands-a <span class="hlt">Global</span> Network (G-WADI) <span class="hlt">Precipitation</span> Estimation from Remotely Sensed Information using Artificial Neural Networks—Cloud Classification System (PERSIANN-CCS) GeoServer has been developed through a collaboration between the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California, Irvine (UCI) and the UNESCO's International Hydrological Program (IHP). G-WADI PERSIANN-CCS GeoServer provides near real-time high resolution (0.04o, approx 4km) <span class="hlt">global</span> (60oN - 60oS) satellite <span class="hlt">precipitation</span> estimated by the PERSIANN-CCS algorithm developed by the scientists at CHRS. The G-WADI PERSIANN-CCS GeoServer utilizes the open-source MapServer software from the University of Minnesota to provide a user-friendly web-based mapping and visualization of satellite <span class="hlt">precipitation</span> data. Recent efforts have been made by the scientists at CHRS to provide free on-the-go access to the PERSIANN-CCS <span class="hlt">precipitation</span> data through an application named RainMapper for mobile devices. RainMapper provides visualization of <span class="hlt">global</span> satellite <span class="hlt">precipitation</span> of the most recent 3, 6, 12, 24, 48 and 72-hour periods overlaid with various basemaps. RainMapper uses the Google maps application programing interface (API) and embedded <span class="hlt">global</span> positioning system (GPS) access to better monitor the <span class="hlt">global</span> <span class="hlt">precipitation</span> data on mobile devices. Functionalities include using geographical searching with voice recognition technologies make it easy for the user to explore near real-time <span class="hlt">precipitation</span> in a certain location. RainMapper also allows for conveniently sharing the <span class="hlt">precipitation</span> information and visualizations with the public through social networks such as Facebook and Twitter. RainMapper is available for iOS and Android devices and can be downloaded (free) from the App Store and Google Play. The usefulness of RainMapper was demonstrated through an application in tracking the evolution of the recent Rammasun Typhoon over the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMGC13D1227S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMGC13D1227S"><span><span class="hlt">Precipitation</span> variability on <span class="hlt">global</span> pasturelands may affect food security in livestock-dependent regions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sloat, L.; Gerber, J. S.; Samberg, L. H.; Smith, W. K.; West, P. C.; Herrero, M.; Brendan, P.; Cecile, G.; Katharina, W.; Smith, W. K.</p> <p>2016-12-01</p> <p>The need to feed an increasing number of people while maintaining biodiversity and ecosystem services is one of the key challenges currently facing humanity. Livestock systems are likely to be a crucial piece of this puzzle, as urbanization and changing diets in much of the world lead to increases in <span class="hlt">global</span> meat consumption. This predicted increase in <span class="hlt">global</span> demand for livestock products will challenge the ability of pastures and rangelands to maintain or increase their productivity. The majority of people that depend on animal production for food security do so through grazing and herding on natural rangelands, and these systems make a significant contribution to <span class="hlt">global</span> production of meat and milk. The vegetation dynamics of natural forage are highly dependent on climate, and subject to disruption with changes in climate and climate variability. <span class="hlt">Precipitation</span> heterogeneity has been linked to the ecosystem dynamics of grazing lands through impacts on livestock carrying capacity and grassland degradation potential. Additionally, changes in <span class="hlt">precipitation</span> variability are linked to the increased incidence of extreme events (e.g. droughts, floods) that negatively impact food production and food security. Here, we use the inter-annual coefficient of variation (CV) of <span class="hlt">precipitation</span> as a metric to assess climate risk on <span class="hlt">global</span> pastures. Comparisons of <span class="hlt">global</span> satellite measures of vegetation greenness to climate reveal that the CV of <span class="hlt">precipitation</span> is negatively related to mean annual NDVI, such that areas with low year-to-year <span class="hlt">precipitation</span> variability have the highest measures of vegetation greenness, and vice versa. Furthermore, areas with high CV of <span class="hlt">precipitation</span> support lower livestock densities and produce less meat. A sliding window analysis of changes in CV of <span class="hlt">precipitation</span> over the last century shows that, overall, <span class="hlt">precipitation</span> variability is increasing in <span class="hlt">global</span> pasture areas, although <span class="hlt">global</span> maps reveal a patchwork of both positive and negative changes. We use</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH53A0144M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH53A0144M"><span>Satellite-Based <span class="hlt">Precipitation</span> Datasets</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Munchak, S. J.; Huffman, G. J.</p> <p>2017-12-01</p> <p>Of the possible sources of <span class="hlt">precipitation</span> data, those based on satellites provide the greatest spatial coverage. There is a wide selection of datasets, algorithms, and versions from which to choose, which can be confusing to non-specialists wishing to use the data. The International <span class="hlt">Precipitation</span> Working Group (IPWG) maintains tables of the major publicly available, long-term, quasi-<span class="hlt">global</span> <span class="hlt">precipitation</span> data sets (http://www.isac.cnr.it/ ipwg/data/datasets.html), and this talk briefly reviews the various categories. As examples, <span class="hlt">NASA</span> provides two sets of quasi-<span class="hlt">global</span> <span class="hlt">precipitation</span> data sets: the older Tropical Rainfall Measuring Mission (TRMM) Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) and current Integrated Multi-satellitE Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission (IMERG). Both provide near-real-time and post-real-time products that are uniformly gridded in space and time. The TMPA products are 3-hourly 0.25°x0.25° on the latitude band 50°N-S for about 16 years, while the IMERG products are half-hourly 0.1°x0.1° on 60°N-S for over 3 years (with plans to go to 16+ years in Spring 2018). In addition to the <span class="hlt">precipitation</span> estimates, each data set provides fields of other variables, such as the satellite sensor providing estimates and estimated random error. The discussion concludes with advice about determining suitability for use, the necessity of being clear about product names and versions, and the need for continued support for satellite- and surface-based observation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009EGUGA..11.8817L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009EGUGA..11.8817L"><span>Evaluation of <span class="hlt">globally</span> available <span class="hlt">precipitation</span> data products as input for water balance models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lebrenz, H.; Bárdossy, A.</p> <p>2009-04-01</p> <p>Subject of this study is the evaluation of <span class="hlt">globally</span> available <span class="hlt">precipitation</span> data products, which are intended to be used as input variables for water balance models in ungauged basins. The selected data sources are a) the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre (GPCC), b) the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) and c) the Climate Research Unit (CRU), resulting into twelve <span class="hlt">globally</span> available data products. The data products imply different data bases, different derivation routines and varying resolutions in time and space. For validation purposes, the ground data from South Africa were screened on homogeneity and consistency by various tests and an outlier detection using multi-linear regression was performed. External Drift Kriging was subsequently applied on the ground data and the resulting <span class="hlt">precipitation</span> arrays were compared to the different products with respect to quantity and variance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040012972','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040012972"><span><span class="hlt">Global</span> Weather Prediction and High-End Computing at <span class="hlt">NASA</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lin, Shian-Jiann; Atlas, Robert; Yeh, Kao-San</p> <p>2003-01-01</p> <p>We demonstrate current capabilities of the <span class="hlt">NASA</span> finite-volume General Circulation Model an high-resolution <span class="hlt">global</span> weather prediction, and discuss its development path in the foreseeable future. This model can be regarded as a prototype of a future <span class="hlt">NASA</span> Earth modeling system intended to unify development activities cutting across various disciplines within the <span class="hlt">NASA</span> Earth Science Enterprise.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1389427','SCIGOV-DOEDE'); return false;" href="https://www.osti.gov/servlets/purl/1389427"><span>A Comprehensive <span class="hlt">Precipitation</span> Data Set for <span class="hlt">Global</span> Land Areas (TR-051)</span></a></p> <p><a target="_blank" href="http://www.osti.gov/dataexplorer">DOE Data Explorer</a></p> <p>Eischeid, J. K. [Univ. of Colorado, Boulder, CO (United States) Cooperative Inst. for Research in Environmental Sciences (CIRES); NOAA; Diaz, H. F. [Univ. of Colorado, Boulder, CO (United States). Cooperative Inst. for Research in Environmental Sciences (CIRES); NOAA; Bradley, R. S. [University of Massachusetts, Amherst, MA (USA); Jones, P. D. [University of East Anglia, Norwich, United Kingdom</p> <p>1994-01-01</p> <p>An expanded and updated compilation of long-term station <span class="hlt">precipitation</span> data, together with a new set of gridded monthly mean fields for <span class="hlt">global</span> land areas, are described. The present data set contains 5328 station records of monthly total <span class="hlt">precipitation</span>, covering the period from the mid-1800s to the late 1980s. The station data were individually tested and visually inspected for the presence of spurious trends, jumps, and other measurement biases. The quality control procedure which was used to check the station records for nonclimatic discontinuities and other biases is detailed. We also discuss some of the problems which typically contribute to potential inhomogeneities in <span class="hlt">precipitation</span> records. The station data were interpolated onto a 4° latitude by 5° longitude uniform grid. Comparisons of these data with two other <span class="hlt">global</span>-scale <span class="hlt">precipitation</span> climatologies are presented. We find good agreement among the three <span class="hlt">global</span>-scale climatologies over the common areas in each set. Three different indices of long-term <span class="hlt">precipitation</span> variations over the <span class="hlt">global</span> land areas all indicate a general increase of annual <span class="hlt">precipitation</span> since the 1940s, although a decline is evident over the last decade. There is some indication that the last few decades of the 19th century may have been as wet as the recent ones. An interesting feature of this study is the presence of relatively large differences in seasonal trends, with March-May and September-November becoming wetter in the last few decades. The December-February and June-August seasons exhibit smaller overall trends, although the northern winter season does exhibit large decadal-scale fluctuations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001407.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001407.html"><span><span class="hlt">Global</span> Hawk Aircraft Lands at <span class="hlt">NASA</span> Wallops for Hurricane Mission</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p>The first of two <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk unmanned aerial vehicles supporting the Hurricane and Severe Storm Sentinel (HS3) mission landed at 7:39 a.m. today, Aug. 14, 2013, at <span class="hlt">NASA</span>'s Wallops Flight Facility, Wallops Island, Va. During August and September, <span class="hlt">NASA</span> will fly the two <span class="hlt">Global</span> Hawks over the Atlantic Ocean to study tropical storms and the processes that underlie hurricane formation and intensification. The aircraft are equipped with instruments to survey the overall environment of the storms and peer into the inner core of hurricanes to study their structure and processes. For more information, visit: www.<span class="hlt">nasa</span>.gov/HS3. Photo Credit: <span class="hlt">NASA</span> Wallops Keith Koehler <span class="hlt">NASA</span> Wallops Flight Facility <span class="hlt">NASA</span> image use policy. <span class="hlt">NASA</span> Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070023365','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070023365"><span><span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk: A Unique Capability for the Pursuit of Earth Science</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Naftel, J. Chris</p> <p>2007-01-01</p> <p>For more than 2 years, the <span class="hlt">NASA</span> Dryden Flight Research Center has been preparing for the receipt of two Advanced Concept Technology Demonstration <span class="hlt">Global</span> Hawk air vehicles from the United States Air Force. <span class="hlt">NASA</span> Dryden intends to establish a <span class="hlt">Global</span> Hawk Project Office, which will be responsible for developing the infrastructure required to operate this unmanned aerial system and establishing a trained maintenance and operations team. The first flight of a <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk air vehicle is expected to occur in 2008. The <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk system can be used by a variety of customers, including U.S. Government agencies, civilian organizations, universities, and state governments. A combination of the vehicle s range, endurance, altitude, payload power, payload volume, and payload weight capabilities separates the <span class="hlt">Global</span> Hawk unmanned aerial system from all other platforms available to the science community.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeoRL..4411672S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeoRL..4411672S"><span>A <span class="hlt">Global</span> Assessment of Dissolved Organic Carbon in <span class="hlt">Precipitation</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Safieddine, Sarah A.; Heald, Colette L.</p> <p>2017-11-01</p> <p><span class="hlt">Precipitation</span> is the largest physical removal pathway of atmospheric reactive organic carbon in the form of dissolved organic carbon (DOC). We present the first <span class="hlt">global</span> DOC distribution simulated with a <span class="hlt">global</span> model. A total of 85 and 188 Tg C yr-1 are deposited to the ocean and the land, respectively, with DOC ranging between 0.1 and 10 mg C L-1 in this GEOS-Chem simulation. We compare the 2010 simulated DOC to a 30 year synthesis of measurements. Despite limited measurements and imperfect temporal matching, the model is able to reproduce much of the spatial variability of DOC (r = 0.63), with a low bias of 35%. We present the <span class="hlt">global</span> average carbon oxidation state (OSc>¯) as a simple metric for describing the chemical composition. In the atmosphere, -1.8≤OSc>¯≤-0.6, and the increase in solubility upon oxidation leads to a <span class="hlt">global</span> increase in OSc>¯ in <span class="hlt">precipitation</span> with -0.6≤OSc>¯DOC≤0.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120011271','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120011271"><span>Lessons Learned during Thermal Hardware Integration on the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Satellite</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cottingham, Christine; Dwivedi, Vivek H.; Peters, Carlton; Powers, Daniel; Yang, Kan</p> <p>2012-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission is a joint <span class="hlt">NASA</span>/JAXA mission scheduled for launch in late 2013. The integration of thermal hardware onto the satellite began in the Fall of 2010 and will continue through the Summer of 2012. The thermal hardware on the mission included several constant conductance heat pipes, heaters, thermostats, thermocouples radiator coatings and blankets. During integration several problems arose and insights were gained that would help future satellite integrations. Also lessons learned from previous missions were implemented with varying degrees of success. These insights can be arranged into three categories. 1) the specification of flight hardware using analysis results and the available mechanical resources. 2) The integration of thermal flight hardware onto the spacecraft, 3) The preparation and implementation of testing the thermal flight via touch tests, resistance measurements and thermal vacuum testing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180000821','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180000821"><span>Connecting Satellite-Based <span class="hlt">Precipitation</span> Estimates to Users</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Bolvin, David T.; Nelkin, Eric</p> <p>2018-01-01</p> <p>Beginning in 1997, the Merged <span class="hlt">Precipitation</span> Group at <span class="hlt">NASA</span> Goddard has distributed gridded <span class="hlt">global</span> <span class="hlt">precipitation</span> products built by combining satellite and surface gauge data. This started with the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP), then the Tropical Rainfall Measuring Mission (TRMM) Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA), and recently the Integrated Multi-satellitE Retrievals for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission (IMERG). This 20+-year (and on-going) activity has yielded an important set of insights and lessons learned for making state-of-the-art <span class="hlt">precipitation</span> data accessible to the diverse communities of users. Merged-data products critically depend on the input sensors and the retrieval algorithms providing accurate, reliable estimates, but it is also important to provide ancillary information that helps users determine suitability for their application. We typically provide fields of estimated random error, and recently reintroduced the quality index concept at user request. Also at user request we have added a (diagnostic) field of estimated <span class="hlt">precipitation</span> phase. Over time, increasingly more ancillary fields have been introduced for intermediate products that give expert users insight into the detailed performance of the combination algorithm, such as individual merged microwave and microwave-calibrated infrared estimates, the contributing microwave sensor types, and the relative influence of the infrared estimate.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li class="active"><span>10</span></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_10 --> <div id="page_11" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="201"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.H43K..02L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.H43K..02L"><span>Utilizing Satellite-derived <span class="hlt">Precipitation</span> Products in Hydrometeorological Applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, Z.; Ostrenga, D.; Teng, W. L.; Kempler, S. J.; Huffman, G. J.</p> <p>2012-12-01</p> <p>Each year droughts and floods happen around the world and can cause severe property damages and human casualties. Accurate measurement and forecast are important for preparedness and mitigation efforts. Through multi-satellite blended techniques, significant progress has been made over the past decade in satellite-based <span class="hlt">precipitation</span> product development, such as, products' spatial and temporal resolutions as well as timely availability. These new products are widely used in various research and applications. In particular, the TRMM Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) products archived and distributed by the <span class="hlt">NASA</span> Goddard Earth Sciences (GES) Data and Information Services Center (DISC) provide 3-hourly, daily and monthly near-<span class="hlt">global</span> (50° N - 50° S) <span class="hlt">precipitation</span> datasets for research and applications. Two versions of TMPA products are available, research (3B42, 3B43, rain gauge adjusted) and near-real-time (3B42RT). At GES DISC, we have developed <span class="hlt">precipitation</span> data services to support hydrometeorological applications in order to maximize the TRMM mission's societal benefits. In this presentation, we will present examples of utilizing TMPA <span class="hlt">precipitation</span> products in hydrometeorological applications including: 1) monitoring <span class="hlt">global</span> floods and droughts; 2) providing data services to support the USDA Crop Explorer; 3) support hurricane monitoring activities and research; and 4) retrospective analog year analyses to improve USDA's world agricultural supply and demand estimates. We will also present <span class="hlt">precipitation</span> data services that can be used to support hydrometeorological applications including: 1) User friendly TRMM Online Visualization and Analysis System (TOVAS; URL: http://disc2.nascom.<span class="hlt">nasa</span>.gov/Giovanni/tovas/); 2) Mirador (http://mirador.gsfc.<span class="hlt">nasa</span>.gov/), a simplified interface for searching, browsing, and ordering Earth science data at GES DISC; 3) Simple Subset Wizard (http://disc.sci.gsfc.<span class="hlt">nasa</span>.gov/SSW/ ) for data subsetting and format conversion; 4) Data</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRD..121.8925R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRD..121.8925R"><span>A <span class="hlt">global</span> assessment of <span class="hlt">NASA</span> AIRS v6 and EUMETSAT IASI v6 <span class="hlt">precipitable</span> water vapor using ground-based GPS SuomiNet stations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Roman, Jacola; Knuteson, Robert; August, Thomas; Hultberg, Tim; Ackerman, Steve; Revercomb, Hank</p> <p>2016-08-01</p> <p>Satellite remote sensing of <span class="hlt">precipitable</span> water vapor (PWV) is essential for monitoring moisture in real time for weather applications, as well as tracking the long-term changes in PWV for climate change trend detection. This study assesses the accuracies of the current satellite observing system, specifically the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) Atmospheric Infrared Sounder (AIRS) v6 PWV product and the European Organization for the Exploitation of Meteorological Satellite Studies (EUMETSAT) Infrared Atmospheric Sounding Interferometer (IASI) v6 PWV product, using ground-based SuomiNet <span class="hlt">Global</span> Positioning System (GPS) network as truth. Elevation-corrected collocated matchups to each SuomiNet GPS station in North America and around the world were created, and results were broken down by station, ARM region, climate zone, and latitude zone. The greatest difference, exceeding 5%, between IASI and AIRS retrievals occurred in the tropics. Generally, IASI and AIRS fall within a 5% error in the PWV range of 20-40 mm (a mean bias less than 2 mm), with a wet bias for extremely low PWV values (less than 5 mm) and a dry bias for extremely high PWV values (greater than 50 mm). The operational IR satellite products are able to capture the mean PWV but degrade in the extreme dry and wet regimes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120000450','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120000450"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission Visualization Tool</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schwaller, Mathew</p> <p>2011-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) software provides graphic visualization tools that enable easy comparison of ground- and space-based radar observations. It was initially designed to compare ground radar reflectivity from operational, ground-based, S- and C-band meteorological radars with comparable measurements from the Tropical Rainfall Measuring Mission (TRMM) satellite's <span class="hlt">precipitation</span> radar instrument. This design is also applicable to other groundbased and space-based radars, and allows both ground- and space-based radar data to be compared for validation purposes. The tool creates an operational system that routinely performs several steps. It ingests satellite radar data (<span class="hlt">precipitation</span> radar data from TRMM) and groundbased meteorological radar data from a number of sources. Principally, the ground radar data comes from national networks of weather radars (see figure). The data ingested by the visualization tool must conform to the data formats used in GPM Validation Network Geometry-matched data product generation. The software also performs match-ups of the radar volume data for the ground- and space-based data, as well as statistical and graphical analysis (including two-dimensional graphical displays) on the match-up data. The visualization tool software is written in IDL, and can be operated either in the IDL development environment or as a stand-alone executable function.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020003348&hterms=year&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DThis%2Byear','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020003348&hterms=year&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DThis%2Byear"><span>Variations and Trends in <span class="hlt">Global</span> and Regional <span class="hlt">Precipitation</span> Based on the 22-Year GPCP (<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project) and Three-Year TRMM (Tropical Rainfall Measuring Mission) Data Sets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Curtis, Scott; Huffman, George; Bolvin, David; Nelkin, Eric; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p>This paper gives an overview of the analysis of <span class="hlt">global</span> <span class="hlt">precipitation</span> over the last few decades and the impact of the new TRMM <span class="hlt">precipitation</span> observations. The 20+ year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis of the World Climate Research Program's (WCRP/GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is used to study <span class="hlt">global</span> and regional variations and trends and is compared to the much shorter TRMM(Tropical Rainfall Measuring Mission) tropical data set. The GPCP data set shows no significant trend in <span class="hlt">global</span> <span class="hlt">precipitation</span> over the twenty years, unlike the positive trend in <span class="hlt">global</span> surface temperatures over the past century. The <span class="hlt">global</span> trend analysis must be interpreted carefully, however, because the inhomogeneity of the data set makes detecting a small signal very difficult, especially over this relatively short period. The relation of <span class="hlt">global</span> (and tropical) total <span class="hlt">precipitation</span> and ENSO events is quantified with no significant signal when land and ocean are combined. Identifying regional trends in <span class="hlt">precipitation</span> may be more practical. From 1979 to 2000 the tropics have pattern of regional rainfall trends that has an ENSO-like pattern with features of both the El Nino and La Nina. This feature is related to a possible trend in the frequency of ENSO events (either El Nino or La Nina) over the past 20 years. Monthly anomalies of <span class="hlt">precipitation</span> are related to ENSO variations with clear signals extending into middle and high latitudes of both hemispheres. The El Nino and La Nina mean anomalies are near mirror images of each other and when combined produce an ENSO signal with significant spatial continuity over large distances. A number of the features are shown to extend into high latitudes. Positive anomalies extend in the Southern Hemisphere (S.H.) from the Pacific southeastward across Chile and Argentina into the south Atlantic Ocean. In the Northern Hemisphere (N.H.) the counterpart feature extends across the southern U.S. and Atlantic Ocean into Europe</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H12C..06W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H12C..06W"><span>First evaluation of the utility of GPM <span class="hlt">precipitation</span> in <span class="hlt">global</span> flood monitoring</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wu, H.; Yan, Y.; Gao, Z.</p> <p>2017-12-01</p> <p>The <span class="hlt">Global</span> Flood Monitoring System (GFMS) has been developed and used to provide real-time flood detection and streamflow estimates over the last few years with significant success shown by validation against <span class="hlt">global</span> flood event data sets and observed streamflow variations (Wu et al., 2014). It has become a tool for various national and international organizations to appraise flood conditions in various areas, including where rainfall and hydrology information is limited. The GFMS has been using the TRMM Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) as its main rainfall input. Now, with the advent of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission there is an opportunity to significantly improve <span class="hlt">global</span> flood monitoring and forecasting. GPM's Integrated Multi-satellitE Retrievals for GPM (IMERG) multi-satellite product is designed to take advantage of various technical advances in the field and combine that with an efficient processing system producing "early" (4 hrs) and "late" (12 hrs) products for operational use. Specifically, this study is focused on (1) understanding the difference between the new IMERG products and other existing satellite <span class="hlt">precipitation</span> products, e.g., TMPA, CMORPH, and ground observations; (2) addressing the challenge in the usage of the IMERG for flood monitoring through hydrologic models, given that only a short period of <span class="hlt">precipitation</span> data record has been accumulated since the lunch of GPM in 2014; and (3) comparing the statistics of flood simulation based on the DRIVE model with IMERG, TMPA, CMORPH etc. as <span class="hlt">precipitation</span> inputs respectively. Derivation of a <span class="hlt">global</span> threshold map is a necessary step to define flood events out of modelling results, which requires a relatively longer historic information. A set of sensitivity tests are conducted by adjusting IMERG's light, moderate, heavy rain to existing <span class="hlt">precipitation</span> products with long-term records separately, to optimize the strategy of PDF matching. Other aspects are also examined</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H51J1396S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H51J1396S"><span>DAPAGLOCO - A <span class="hlt">global</span> daily <span class="hlt">precipitation</span> dataset from satellite and rain-gauge measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Spangehl, T.; Danielczok, A.; Dietzsch, F.; Andersson, A.; Schroeder, M.; Fennig, K.; Ziese, M.; Becker, A.</p> <p>2017-12-01</p> <p>The BMBF funded project framework MiKlip(Mittelfristige Klimaprognosen) develops a <span class="hlt">global</span> climate forecast system on decadal time scales for operational applications. Herein, the DAPAGLOCO project (Daily <span class="hlt">Precipitation</span> Analysis for the validation of <span class="hlt">Global</span> medium-range Climate predictions Operationalized) provides a <span class="hlt">global</span> <span class="hlt">precipitation</span> dataset as a combination of microwave-based satellite measurements over ocean and rain gauge measurements over land on daily scale. The DAPAGLOCO dataset is created for the evaluation of the MiKlip forecast system in the first place. The HOAPS dataset (Hamburg Ocean Atmosphere Parameter and Fluxes from Satellite data) is used for the derivation of <span class="hlt">precipitation</span> rates over ocean and is extended by the use of measurements from TMI, GMI, and AMSR-E, in addition to measurements from SSM/I and SSMIS. A 1D-Var retrieval scheme is developed to retrieve rain rates from microwave imager data, which also allows for the determination of uncertainty estimates. Over land, the GPCC (<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Center) Full Data Daily product is used. It consists of rain gauge measurements that are interpolated on a regular grid by ordinary Kriging. The currently available dataset is based on a neuronal network approach, consists of 21 years of data from 1988 to 2008 and is currently extended until 2015 using the 1D-Var scheme and with improved sampling. Three different spatial resolved dataset versions are available with 1° and 2.5° <span class="hlt">global</span>, and 0.5° for Europe. The evaluation of the MiKlip forecast system by DAPAGLOCO is based on ETCCDI (Expert Team on Climate Change and Detection Indices). Hindcasts are used for the index-based comparison between model and observations. These indices allow for the evaluation of <span class="hlt">precipitation</span> extremes, their spatial and temporal distribution as well as for the duration of dry and wet spells, average <span class="hlt">precipitation</span> amounts and percentiles on <span class="hlt">global</span> scale. Besides, an ETCCDI-based climatology of the DAPAGLOCO</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20150019863&hterms=global+warming&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dglobal%2Bwarming','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20150019863&hterms=global+warming&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dglobal%2Bwarming"><span>A Canonical Repsonse of <span class="hlt">Precipitation</span> Characteristics to <span class="hlt">Global</span> Warming from CMIP5 Models</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lau, William K.-M.; Wu, H.-T.; Kim, K.-M.</p> <p>2013-01-01</p> <p>In this study, we find from analyses of projections of 14 CMIP5 models a robust, canonical <span class="hlt">global</span> response in rainfall characteristics to a warming climate. Under a scenario of 1% increase per year of CO2 emission, the model ensemble projects <span class="hlt">globally</span> more heavy <span class="hlt">precipitation</span> (+7+/-2.4%/K1), less moderate <span class="hlt">precipitation</span> (-2.5+/-0.6%/K), more light <span class="hlt">precipitation</span> (+1.8+/-1.3%/K1), and increased length of dry (no-rain) periods (+4.7+/-2.1%/K). Regionally, a majority of the models project a consistent response with more heavy <span class="hlt">precipitation</span> over climatologically wet regions of the deep tropics, especially the equatorial Pacific Ocean and the Asian monsoon regions, and more dry periods over the land areas of the subtropics and the tropical marginal convective zones. Our results suggest that increased CO2 emissions induce a <span class="hlt">global</span> adjustment in circulation and moisture availability manifested in basic changes in <span class="hlt">global</span> <span class="hlt">precipitation</span> characteristics, including increasing risks of severe floods and droughts in preferred geographic locations worldwide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002096.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002096.html"><span><span class="hlt">Global</span> Hawk, <span class="hlt">NASA</span>'s New Remote-Controlled Plane</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p><span class="hlt">NASA</span> image acquired October 23, 2009. At NASA’s Dryden Research Center in California, a group of engineers, scientists, and aviation technicians have set up camp in a noisy, chilly hangar on Edwards Air Force base. For the past two weeks, they have been working to mount equipment—from HD video cameras to ozone sensors—onto NASA’s <span class="hlt">Global</span> Hawk, a remote-controlled airplane that can fly for up to 30 hours at altitudes up to 65,000 feet. The team is gearing up for the <span class="hlt">Global</span> Hawk Pacific campaign, a series of four or five scientific research flights that will take the <span class="hlt">Global</span> Hawk over the Pacific Ocean and Arctic regions. The 44-foot-long aircraft, with its comically large nose and 116-foot wingspan is pictured in the photograph above, banking for landing over Rogers Dry Lake in California at the end of a test flight on October 23, 2009. The long wings carry the plane’s fuel, and the bulbous nose is one of the payload bays, which house the science instruments. For the <span class="hlt">Global</span> Hawk Pacific campaign, the robotic aircraft will carry ten science instruments that will sample the chemical composition of air in the troposphere (the atmospheric layer closest to Earth) and the stratosphere (the layer above the troposphere). The mission will also observe clouds and aerosol particles in the troposphere. The primary purpose of the mission is to collect observations that can be used to check the accuracy of simultaneous observations collected by NASA’s Aura satellite. Co-lead scientist Paul Newman from Goddard Space Flight Center is writing about the ground-breaking mission for the Earth Observatory’s Notes from the Field blog. <span class="hlt">NASA</span> Photograph by Carla Thomas. <span class="hlt">NASA</span> Goddard Space Flight Center is home to the nation's largest organization of combined scientists, engineers and technologists that build spacecraft, instruments and new technology to study the Earth, the sun, our solar system, and the universe. To learn more about this image go to: earthobservatory.<span class="hlt">nasa</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH33E..05S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH33E..05S"><span>A Space-Based Perspective of the 2017 Hurricane Season from the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Skofronick Jackson, G.; Petersen, W. A.; Huffman, G. J.; Kirschbaum, D.; Wolff, D. B.; Tan, J.; Zavodsky, B.</p> <p>2017-12-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission collected unique, near real time 3-D satellite-based views of hurricanes in 2017 together with estimated <span class="hlt">precipitation</span> accumulation using merged satellite data for scientific studies and societal applications. Central to GPM is the <span class="hlt">NASA</span>-JAXA GPM Core Observatory (CO). The GPM-CO carries an advanced dual-frequency <span class="hlt">precipitation</span> radar (DPR) and a well-calibrated, multi-frequency passive microwave radiometer that together serve as an on orbit reference for <span class="hlt">precipitation</span> measurements made by the international GPM satellite constellation. GPM-CO overpasses of major Hurricanes such as Harvey, Irma, Maria, and Ophelia revealed intense convective structures in DPR radar reflectivity together with deep ice-phase microphysics in both the eyewalls and outer rain bands. Of considerable scientific interest, and yet to be determined, will be DPR-diagnosed characteristics of the rain drop size distribution as a function of convective structure, intensity and microphysics. The GPM-CO active/passive suite also provided important decision support information. For example, the National Hurricane Center used GPM-CO observations as a tool to inform track and intensity estimates in their forecast briefings. Near-real-time rainfall accumulation from the Integrated Multi-satellitE Retrievals for GPM (IMERG) was also provided via the <span class="hlt">NASA</span> SPoRT team to Puerto Rico following Hurricane Maria when ground-based radar systems on the island failed. Comparisons between IMERG, NOAA Multi-Radar Multi-Sensor data, and rain gauge rainfall accumulations near Houston, Texas during Hurricane Harvey revealed spatial biases between ground and IMERG satellite estimates, and a general underestimation of IMERG rain accumulations associated with infrared observations, collectively illustrating the difficulty of measuring rainfall in hurricanes.GPM data continue to advance scientific research on tropical cyclone intensification and structure, and contribute to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160002216','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160002216"><span><span class="hlt">NASA</span> CYGNSS Mission Applications Workshop</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Amin, Aimee V. (Compiler); Murray, John J. (Editor); Stough, Timothy M. (Editor); Molthan, Andrew (Editor)</p> <p>2015-01-01</p> <p><span class="hlt">NASA</span>'s Cyclone <span class="hlt">Global</span> Navigation Satellite System, (CYGNSS), mission is a constellation of eight microsatellites that will measure surface winds in and near the inner cores of hurricanes, including regions beneath the eyewall and intense inner rainbands that could not previously be measured from space. The CYGNSS-measured wind fields, when combined with <span class="hlt">precipitation</span> fields (e.g., produced by the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement [GPM] core satellite and its constellation of <span class="hlt">precipitation</span> imagers), will provide coupled observations of moist atmospheric thermodynamics and ocean surface response, enabling new insights into hurricane inner core dynamics and energetics. The outcomes of this workshop, which are detailed in this report, comprise two primary elements: (1) A report of workshop proceedings, and; (2) Detailed Applications Traceability Matrices with requirements and operational considerations to serve broadly for development of value-added tools, applications, and products.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070031737','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070031737"><span>A <span class="hlt">Global</span> Perspective: <span class="hlt">NASA</span>'s Prediction of Worldwide Energy Resources (POWER) Project</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhang, Taiping; Stackhouse, Paul W., Jr.; Chandler, William S.; Hoell, James M.; Westberg, David; Whitlock, Charles H.</p> <p>2007-01-01</p> <p>The Prediction of the Worldwide Energy Resources (POWER) Project, initiated under the <span class="hlt">NASA</span> Science Mission Directorate Applied Science Energy Management Program, synthesizes and analyzes data on a <span class="hlt">global</span> scale that are invaluable to the renewable energy industries, especially to the solar and wind energy sectors. The POWER project derives its data primarily from <span class="hlt">NASA</span>'s World Climate Research Programme (WCRP)/<span class="hlt">Global</span> Energy and Water cycle Experiment (GEWEX) Surface Radiation Budget (SRB) project (Version 2.9) and the <span class="hlt">Global</span> Modeling and Assimilation Office (GMAO) Goddard Earth Observing System (GEOS) assimilation model (Version 4). The latest development of the <span class="hlt">NASA</span> POWER Project and its plans for the future are presented in this paper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990076699&hterms=Groups+networks&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3DGroups%2Bnetworks','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990076699&hterms=Groups+networks&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3DGroups%2Bnetworks"><span><span class="hlt">NASA</span>'s Contribution to <span class="hlt">Global</span> Space Geodesy Networks</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bosworth, John M.</p> <p>1999-01-01</p> <p>The <span class="hlt">NASA</span> Space Geodesy program continues to be a major provider of space geodetic data for the international earth science community. <span class="hlt">NASA</span> operates high performance Satellite Laser Ranging (SLR), Very Long Baseline Interferometry (VLBI) and <span class="hlt">Global</span> Positioning System (GPS) ground receivers at well over 30 locations around the world and works in close cooperation with space geodetic observatories around the world. <span class="hlt">NASA</span> has also always been at the forefront in the quest for technical improvement and innovation in the space geodesy technologies to make them even more productive, accurate and economical. This presentation will highlight the current status of <span class="hlt">NASA</span>'s networks; the plans for partnerships with international groups in the southern hemisphere to improve the geographic distribution of space geodesy sites and the status of the technological improvements in SLR and VLBI that will support the new scientific thrusts proposed by interdisciplinary earth scientists. In addition, the expanding role of the <span class="hlt">NASA</span> Space geodesy data archive, the CDDIS will be described.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19940008484','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19940008484"><span>Development of a <span class="hlt">global</span> backscatter model for <span class="hlt">NASA</span>'s laser atmospheric wind sounder</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bowdle, David; Collins, Laurie; Mach, Douglas; Mcnider, Richard; Song, Aaron</p> <p>1992-01-01</p> <p>During the Contract Period April 1, 1989, to September 30, 1992, the Earth Systems Science Laboratory (ESSL) in the Research Institute at the University of Alabama in Huntsville (UAH) conducted a program of basic research on atmospheric backscatter characteristics, leading to the development of a <span class="hlt">global</span> backscatter model. The ESSL research effort was carried out in conjunction with the Earth System Observing Branch (ES43) at the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) Marshall Space Flight Center, as part of <span class="hlt">NASA</span> Contract NAS8-37585 under the Atmospheric Dynamics Program at <span class="hlt">NASA</span> Headquarters. This research provided important inputs to <span class="hlt">NASA</span>'s <span class="hlt">GLObal</span> Backscatter Experiment (GLOBE) program, especially in the understanding of <span class="hlt">global</span> aerosol life cycles, and to <span class="hlt">NASA</span>'s Doppler Lidar research program, especially the development program for their prospective space-based Laser Atmospheric Wind Sounder (LAWS).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000021366&hterms=extratropical+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dextratropical%2Bstorm','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000021366&hterms=extratropical+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dextratropical%2Bstorm"><span>A <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Perspective on Persistent Extratropical Flow Anomalies</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David T.</p> <p>1999-01-01</p> <p>Two <span class="hlt">globally</span>-complete, observation-only <span class="hlt">precipitation</span> datasets have recently been developed for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). Both depend heavily on a variety of satellite input, as well as gauge data over land. The first, Version 2 x 79, provides monthly estimates on a 2.5 deg x 2.5 deg lat/long grid for the period 1979 through late 1999 (by the time of the conference). The second, the One-Degree Daily (1DD), provides daily estimates on a 1 deg x 1 deg grid for the period 1997 through late 1999 (by the time of the conference). Both are in beta test preparatory to release as official GPCP products. These datasets provide a unique perspective on the hydrological effects of the various atmospheric flow anomalies that have been identified by meteorologists. In this paper we discuss the regional <span class="hlt">precipitation</span> effects that result from persistent extratropical flow anomalies. We will focus on the Pacific-North America (PNA) and North Atlantic Oscillation (NAO) patterns. Each characteristically becomes established on synoptic time scales, but then persists for periods that can exceed a month. The onset phase of each appears to have systematic mobile features, while the mature phase tend to be more stationary. Accordingly, composites of monthly data for outstanding positive and negative events (separately) contained in the 20-year record reveal the climatological structure of the <span class="hlt">precipitation</span> during the mature phase. The climatological anomalies of the positive, negative, and (positive-negative) composites show the expected storm-track-related shifts in <span class="hlt">precipitation</span>, and provide the advantage of putting the known <span class="hlt">precipitation</span> effects over land in the context of the total pattern over land and ocean. As well, this <span class="hlt">global</span> perspective points out some unexpected areas of correlation. Day-by-day composites of daily data anchored to the onset date demonstrate the systematic features during the onset. Although the 1DD has a fairly short record, some</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100003374','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100003374"><span><span class="hlt">NASA</span> Earth Remote Sensing Programs: An Overview with Special Emphasis on the <span class="hlt">NASA</span>/JAXA Led <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stocker, Erich Franz</p> <p>2009-01-01</p> <p>This slide presentation gives an overview of <span class="hlt">NASA</span>'s operations monitoring the earth from space. It includes information on <span class="hlt">NASA</span>'s administrative divisions and key operating earth science missions with specific information on the Landsat satellites, Seastar spacecraft, and the TRMM satellite.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003717','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003717"><span>Climatology and Interannual Variability of Quasi-<span class="hlt">Global</span> Intense <span class="hlt">Precipitation</span> Using Satellite Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ricko, Martina; Adler, Robert F.; Huffman, George J.</p> <p>2016-01-01</p> <p>Climatology and variations of recent mean and intense <span class="hlt">precipitation</span> over a near-<span class="hlt">global</span> (50 deg. S 50 deg. N) domain on a monthly and annual time scale are analyzed. Data used to derive daily <span class="hlt">precipitation</span> to examine the effects of spatial and temporal coverage of intense <span class="hlt">precipitation</span> are from the current Tropical Rainfall Measuring Mission (TRMM) Multisatellite <span class="hlt">Precipitation</span> Analysis (TMPA) 3B42 version 7 <span class="hlt">precipitation</span> product, with high spatial and temporal resolution during 1998 - 2013. Intense <span class="hlt">precipitation</span> is defined by several different parameters, such as a 95th percentile threshold of daily <span class="hlt">precipitation</span>, a mean <span class="hlt">precipitation</span> that exceeds that percentile, or a fixed threshold of daily <span class="hlt">precipitation</span> value [e.g., 25 and 50 mm day(exp -1)]. All parameters are used to identify the main characteristics of spatial and temporal variation of intense <span class="hlt">precipitation</span>. High correlations between examined parameters are observed, especially between climatological monthly mean <span class="hlt">precipitation</span> and intense <span class="hlt">precipitation</span>, over both tropical land and ocean. Among the various parameters examined, the one best characterizing intense rainfall is a fraction of daily <span class="hlt">precipitation</span> Great than or equal to 25 mm day(exp. -1), defined as a ratio between the intense <span class="hlt">precipitation</span> above the used threshold and mean <span class="hlt">precipitation</span>. Regions that experience an increase in mean <span class="hlt">precipitation</span> likely experience a similar increase in intense <span class="hlt">precipitation</span>, especially during the El Nino Southern Oscillation (ENSO) events. Improved knowledge of this intense <span class="hlt">precipitation</span> regime and its strong connection to mean <span class="hlt">precipitation</span> given by the fraction parameter can be used for monitoring of intense rainfall and its intensity on a <span class="hlt">global</span> to regional scale.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.A23F0341F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.A23F0341F"><span>The Effects of <span class="hlt">Global</span> Warming on Temperature and <span class="hlt">Precipitation</span> Trends in Northeast America</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Francis, F.</p> <p>2013-12-01</p> <p>The objective of this paper is to discuss the analysis of results in temperature and <span class="hlt">precipitation</span> (rainfall) data and how they are affected by the theory of <span class="hlt">global</span> warming in Northeast America. The topic was chosen because it will show the trends in temperature and <span class="hlt">precipitation</span> and their relations to <span class="hlt">global</span> warming. Data was collected from The <span class="hlt">Global</span> Historical Climatology Network (GHCN). The data range from years of 1973 to 2012. We were able to calculate the yearly and monthly regress to estimate the relationship of variables found in the individual sources. With the use of specially designed software, analysis and manual calculations we are able to give a visualization of these trends in <span class="hlt">precipitation</span> and temperature and to question if these trends are due to the theory of <span class="hlt">global</span> warming. With the Calculation of the trends in slope we were able to interpret the changes in minimum and maximum temperature and <span class="hlt">precipitation</span>. <span class="hlt">Precipitation</span> had a 9.5 % increase over the past forty years, while maximum temperature increased 1.9 %, a greater increase is seen in minimum temperature of 3.3 % was calculated over the years. The trends in <span class="hlt">precipitation</span>, maximum and minimum temperature is statistically significant at a 95% level.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040171212&hterms=Influence+clouds+climate&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DInfluence%2Bclouds%2Bclimate','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040171212&hterms=Influence+clouds+climate&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DInfluence%2Bclouds%2Bclimate"><span><span class="hlt">NASA</span> GEOS-3/TRMM Re-analysis: Capturing Observed Tropical Rainfall Variability in <span class="hlt">Global</span> Analysis for Climate Research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur Y.</p> <p>2004-01-01</p> <p>Understanding climate variability over a wide range of space-time scales requires a comprehensive description of the earth system. <span class="hlt">Global</span> analyses produced by a fixed assimilation system (i.e., re-analyses) - as their quality continues to improve - have the potential of providing a vital tool for meeting this challenge. But at the present time, the usefulness of re-analyses is limited by uncertainties in such basic fields as clouds, <span class="hlt">precipitation</span>, and evaporation - especially in the tropics, where observations are relatively sparse. Analyses of the tropics have long been shown to be sensitive to. the treatment of cloud <span class="hlt">precipitation</span> processes, which remains a major source of uncertainty in current models. Yet, for many climate studies it is crucial that analyses can accurately reproduce the observed rainfall intensity and variability since a small error of 1 mm/d in surface rain translates into an error of approx. 30 W/sq m in energy (latent heat) flux. Currently, discrepancies between the observed and analyzed monthly-mean rain rates averaged to 100 km x 100 km resolution can exceed 4 mm/d (or 120 W/sq m ), compared to uncertainties in surface radiative fluxes of approx. 10-20 W/sq m . Improving <span class="hlt">precipitation</span> in analyses would reduce a major source of uncertainty in the <span class="hlt">global</span> energy budget. Uncertainties in tropical <span class="hlt">precipitation</span> have also been a major impediment in understanding how the tropics interact with other regions, including the remote response to El Nino/Southern Oscillation (ENSO) variability on interannual time scales, the influence of Madden-Julian Oscillation (MJO) and monsoons on intraseasonal time scales. A <span class="hlt">global</span> analysis that can replicate the observed <span class="hlt">precipitation</span> variability together with physically consistent estimates of other atmospheric variables provides the key to breaking this roadblock. <span class="hlt">NASA</span> Goddard Space Flight Center has been exploring the use of satellite-based microwave rainfall measurements in improving <span class="hlt">global</span> analyses and has</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150001432','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150001432"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Cold Season <span class="hlt">Precipitation</span> Experiment (GCPEx): For Measurement Sake Let it Snow</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Skofronick-Jackson, Gail; Hudak, David; Petersen, Walter; Nesbitt, Stephen W.; Chandrasekar, V.; Durden, Stephen; Gleicher, Kirstin J.; Huang, Gwo-Jong; Joe, Paul; Kollias, Pavlos; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20150001432'); toggleEditAbsImage('author_20150001432_show'); toggleEditAbsImage('author_20150001432_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20150001432_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20150001432_hide"></p> <p>2014-01-01</p> <p>As a component of the Earth's hydrologic cycle, and especially at higher latitudes,falling snow creates snow pack accumulation that in turn provides a large proportion of the fresh water resources required by many communities throughout the world. To assess the relationships between remotely sensed snow measurements with in situ measurements, a winter field project, termed the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission Cold Season <span class="hlt">Precipitation</span> Experiment (GCPEx), was carried out in the winter of 2011-2012 in Ontario, Canada. Its goal was to provide information on the <span class="hlt">precipitation</span> microphysics and processes associated with cold season <span class="hlt">precipitation</span> to support GPM snowfall retrieval algorithms that make use of a dual-frequency <span class="hlt">precipitation</span> radar and a passive microwave imager on board the GPM core satellite,and radiometers on constellation member satellites. Multi-parameter methods are required to be able to relate changes in the microphysical character of the snow to measureable parameters from which <span class="hlt">precipitation</span> detection and estimation can be based. The data collection strategy was coordinated, stacked, high-altitude and in-situ cloud aircraft missions with three research aircraft sampling within a broader surface network of five ground sites taking in-situ and volumetric observations. During the field campaign 25 events were identified and classified according to their varied <span class="hlt">precipitation</span> type, synoptic context, and <span class="hlt">precipitation</span> amount. Herein, the GCPEx fieldcampaign is described and three illustrative cases detailed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017E%26SS....4..540M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017E%26SS....4..540M"><span>The assessment of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement estimates over the Indian subcontinent</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Murali Krishna, U. V.; Das, Subrata Kumar; Deshpande, Sachin M.; Doiphode, S. L.; Pandithurai, G.</p> <p>2017-08-01</p> <p>Accurate and real-time <span class="hlt">precipitation</span> estimation is a challenging task for current and future spaceborne measurements, which is essential to understand the <span class="hlt">global</span> hydrological cycle. Recently, the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) satellites were launched as a next-generation rainfall mission for observing the <span class="hlt">global</span> <span class="hlt">precipitation</span> characteristics. The purpose of the GPM is to enhance the spatiotemporal resolution of <span class="hlt">global</span> <span class="hlt">precipitation</span>. The main objective of the present study is to assess the rainfall products from the GPM, especially the Integrated Multi-satellitE Retrievals for the GPM (IMERG) data by comparing with the ground-based observations. The multitemporal scale evaluations of rainfall involving subdaily, diurnal, monthly, and seasonal scales were performed over the Indian subcontinent. The comparison shows that the IMERG performed better than the Tropical Rainfall Measuring Mission (TRMM)-3B42, although both rainfall products underestimated the observed rainfall compared to the ground-based measurements. The analyses also reveal that the TRMM-3B42 and IMERG data sets are able to represent the large-scale monsoon rainfall spatial features but are having region-specific biases. The IMERG shows significant improvement in low rainfall estimates compared to the TRMM-3B42 for selected regions. In the spatial distribution, the IMERG shows higher rain rates compared to the TRMM-3B42, due to its enhanced spatial and temporal resolutions. Apart from this, the characteristics of raindrop size distribution (DSD) obtained from the GPM mission dual-frequency <span class="hlt">precipitation</span> radar is assessed over the complex mountain terrain site in the Western Ghats, India, using the DSD measured by a Joss-Waldvogel disdrometer.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li class="active"><span>11</span></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_11 --> <div id="page_12" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="221"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110008260&hterms=runoff+precipitation&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Drunoff%2Bprecipitation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110008260&hterms=runoff+precipitation&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Drunoff%2Bprecipitation"><span>Enhancing <span class="hlt">Global</span> Land Surface Hydrology Estimates from the <span class="hlt">NASA</span> MERRA Reanalysis Using <span class="hlt">Precipitation</span> Observations and Model Parameter Adjustments</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Reichle, Rolf; Koster, Randal; DeLannoy, Gabrielle; Forman, Barton; Liu, Qing; Mahanama, Sarith; Toure, Ally</p> <p>2011-01-01</p> <p>The Modern-Era Retrospective analysis for Research and Applications (MERRA) is a state-of-the-art reanalysis that provides. in addition to atmospheric fields. <span class="hlt">global</span> estimates of soil moisture, latent heat flux. snow. and runoff for J 979-present. This study introduces a supplemental and improved set of land surface hydrological fields ('MERRA-Land') generated by replaying a revised version of the land component of the MERRA system. Specifically. the MERRA-Land estimates benefit from corrections to the <span class="hlt">precipitation</span> forcing with the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project pentad product (version 2.1) and from revised parameters in the rainfall interception model, changes that effectively correct for known limitations in the MERRA land surface meteorological forcings. The skill (defined as the correlation coefficient of the anomaly time series) in land surface hydrological fields from MERRA and MERRA-Land is assessed here against observations and compared to the skill of the state-of-the-art ERA-Interim reanalysis. MERRA-Land and ERA-Interim root zone soil moisture skills (against in situ observations at 85 US stations) are comparable and significantly greater than that of MERRA. Throughout the northern hemisphere, MERRA and MERRA-Land agree reasonably well with in situ snow depth measurements (from 583 stations) and with snow water equivalent from an independent analysis. Runoff skill (against naturalized stream flow observations from 15 basins in the western US) of MERRA and MERRA-Land is typically higher than that of ERA-Interim. With a few exceptions. the MERRA-Land data appear more accurate than the original MERRA estimates and are thus recommended for those interested in using '\\-tERRA output for land surface hydrological studies.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001566.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001566.html"><span>SUBMIT YOUR IMAGES TO <span class="hlt">NASA</span>'s "LET IT SNOW" PHOTO CONTEST!</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-08</p> <p><span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission wants to see your best photos of winter weather! You can submit your images to the contest here: www.flickr.com/groups/gpm-extreme-weather/ To read more about this image and or to see the high res file go to: earthobservatory.<span class="hlt">nasa</span>.gov/IOTD/view.php?id=80082</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160011528','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160011528"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) and International Space Station (ISS) Coordination for CubeSat Deployments to Minimize Collision Risk</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pawloski, James H.; Aviles, Jorge; Myers, Ralph; Parris, Joshua; Corley, Bryan; Hehn, Garrett; Pascucci, Joseph</p> <p>2016-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission (GPM) is a joint U.S. and Japan mission to observe <span class="hlt">global</span> <span class="hlt">precipitation</span>, extending the Tropical Rainfall Measuring Mission (TRMM), which was launched by H-IIA from Tanegashima in Japan on February 28TH, 2014 directly into its 407km operational orbit. The International Space Station (ISS) is an international human research facility operated jointly by Russia and the USA from <span class="hlt">NASA</span>'s Johnson Space Center (JSC) in Houston Texas. Mission priorities lowered the operating altitude of ISS from 415km to 400km in early 2105, effectively placing both vehicles into the same orbital regime. The ISS has begun a program of deployments of cost effective CubeSats from the ISS that allow testing and validation of new technologies. With a major new asset flying at the same effective altitude as the ISS, CubeSat deployments became a serious threat to GPM and therefore a significant indirect threat to the ISS. This paper describes the specific problem of collision threat to GPM and risk to ISS CubeSat deployment and the process that was implemented to keep both missions safe from collision and maximize their project goals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H21E1502S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H21E1502S"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Core Observatory Falling Snow Estimates</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Skofronick Jackson, G.; Kulie, M.; Milani, L.; Munchak, S. J.; Wood, N.; Levizzani, V.</p> <p>2017-12-01</p> <p>Retrievals of falling snow from space represent an important data set for understanding and linking the Earth's atmospheric, hydrological, and energy cycles. Estimates of falling snow must be captured to obtain the true <span class="hlt">global</span> <span class="hlt">precipitation</span> water cycle, snowfall accumulations are required for hydrological studies, and without knowledge of the frozen particles in clouds one cannot adequately understand the energy and radiation budgets. This work focuses on comparing the first stable falling snow retrieval products (released May 2017) for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Core Observatory (GPM-CO), which was launched February 2014, and carries both an active dual frequency (Ku- and Ka-band) <span class="hlt">precipitation</span> radar (DPR) and a passive microwave radiometer (GPM Microwave Imager-GMI). Five separate GPM-CO falling snow retrieval algorithm products are analyzed including those from DPR Matched (Ka+Ku) Scan, DPR Normal Scan (Ku), DPR High Sensitivity Scan (Ka), combined DPR+GMI, and GMI. While satellite-based remote sensing provides <span class="hlt">global</span> coverage of falling snow events, the science is relatively new, the different on-orbit instruments don't capture all snow rates equally, and retrieval algorithms differ. Thus a detailed comparison among the GPM-CO products elucidates advantages and disadvantages of the retrievals. GPM and CloudSat <span class="hlt">global</span> snowfall evaluation exercises are natural investigative pathways to explore, but caution must be undertaken when analyzing these datasets for comparative purposes. This work includes outlining the challenges associated with comparing GPM-CO to CloudSat satellite snow estimates due to the different sampling, algorithms, and instrument capabilities. We will highlight some factors and assumptions that can be altered or statistically normalized and applied in an effort to make comparisons between GPM and CloudSat <span class="hlt">global</span> satellite falling snow products as equitable as possible.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100003349','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100003349"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement: GPM Microwave Imager (GMI) Algorithm Development Approach</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stocker, Erich Franz</p> <p>2009-01-01</p> <p>This slide presentation reviews the approach to the development of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement algorithm. This presentation includes information about the responsibilities for the development of the algorithm, and the calibration. Also included is information about the orbit, and the sun angle. The test of the algorithm code will be done with synthetic data generated from the <span class="hlt">Precipitation</span> Processing System (PPS).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5307437','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5307437"><span><span class="hlt">Global</span> warming <span class="hlt">precipitation</span> accumulation increases above the current-climate cutoff scale</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Sahany, Sandeep; Stechmann, Samuel N.; Bernstein, Diana N.</p> <p>2017-01-01</p> <p><span class="hlt">Precipitation</span> accumulations, integrated over rainfall events, can be affected by both intensity and duration of the storm event. Thus, although <span class="hlt">precipitation</span> intensity is widely projected to increase under <span class="hlt">global</span> warming, a clear framework for predicting accumulation changes has been lacking, despite the importance of accumulations for societal impacts. Theory for changes in the probability density function (pdf) of <span class="hlt">precipitation</span> accumulations is presented with an evaluation of these changes in <span class="hlt">global</span> climate model simulations. We show that a simple set of conditions implies roughly exponential increases in the frequency of the very largest accumulations above a physical cutoff scale, increasing with event size. The pdf exhibits an approximately power-law range where probability density drops slowly with each order of magnitude size increase, up to a cutoff at large accumulations that limits the largest events experienced in current climate. The theory predicts that the cutoff scale, controlled by the interplay of moisture convergence variance and <span class="hlt">precipitation</span> loss, tends to increase under <span class="hlt">global</span> warming. Thus, precisely the large accumulations above the cutoff that are currently rare will exhibit increases in the warmer climate as this cutoff is extended. This indeed occurs in the full climate model, with a 3 °C end-of-century <span class="hlt">global</span>-average warming yielding regional increases of hundreds of percent to >1,000% in the probability density of the largest accumulations that have historical precedents. The probabilities of unprecedented accumulations are also consistent with the extension of the cutoff. PMID:28115693</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PNAS..114.1258N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PNAS..114.1258N"><span><span class="hlt">Global</span> warming <span class="hlt">precipitation</span> accumulation increases above the current-climate cutoff scale</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neelin, J. David; Sahany, Sandeep; Stechmann, Samuel N.; Bernstein, Diana N.</p> <p>2017-02-01</p> <p><span class="hlt">Precipitation</span> accumulations, integrated over rainfall events, can be affected by both intensity and duration of the storm event. Thus, although <span class="hlt">precipitation</span> intensity is widely projected to increase under <span class="hlt">global</span> warming, a clear framework for predicting accumulation changes has been lacking, despite the importance of accumulations for societal impacts. Theory for changes in the probability density function (pdf) of <span class="hlt">precipitation</span> accumulations is presented with an evaluation of these changes in <span class="hlt">global</span> climate model simulations. We show that a simple set of conditions implies roughly exponential increases in the frequency of the very largest accumulations above a physical cutoff scale, increasing with event size. The pdf exhibits an approximately power-law range where probability density drops slowly with each order of magnitude size increase, up to a cutoff at large accumulations that limits the largest events experienced in current climate. The theory predicts that the cutoff scale, controlled by the interplay of moisture convergence variance and <span class="hlt">precipitation</span> loss, tends to increase under <span class="hlt">global</span> warming. Thus, precisely the large accumulations above the cutoff that are currently rare will exhibit increases in the warmer climate as this cutoff is extended. This indeed occurs in the full climate model, with a 3 °C end-of-century <span class="hlt">global</span>-average warming yielding regional increases of hundreds of percent to >1,000% in the probability density of the largest accumulations that have historical precedents. The probabilities of unprecedented accumulations are also consistent with the extension of the cutoff.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1341226-global-warming-precipitation-accumulation-increases-above-current-climate-cutoff-scale','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1341226-global-warming-precipitation-accumulation-increases-above-current-climate-cutoff-scale"><span><span class="hlt">Global</span> warming <span class="hlt">precipitation</span> accumulation increases above the current-climate cutoff scale</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Neelin, J. David; Sahany, Sandeep; Stechmann, Samuel N.</p> <p></p> <p><span class="hlt">Precipitation</span> accumulations, integrated over rainfall events, can be affected by both intensity and duration of the storm event. Thus, although <span class="hlt">precipitation</span> intensity is widely projected to increase under <span class="hlt">global</span> warming, a clear framework for predicting accumulation changes has been lacking, despite the importance of accumulations for societal impacts. Theory for changes in the probability density function (pdf) of <span class="hlt">precipitation</span> accumulations is presented with an evaluation of these changes in <span class="hlt">global</span> climate model simulations. We show that a simple set of conditions implies roughly exponential increases in the frequency of the very largest accumulations above a physical cutoff scale, increasing withmore » event size. The pdf exhibits an approximately power-law range where probability density drops slowly with each order of magnitude size increase, up to a cutoff at large accumulations that limits the largest events experienced in current climate. The theory predicts that the cutoff scale, controlled by the interplay of moisture convergence variance and <span class="hlt">precipitation</span> loss, tends to increase under <span class="hlt">global</span> warming. Thus, precisely the large accumulations above the cutoff that are currently rare will exhibit increases in the warmer climate as this cutoff is extended. This indeed occurs in the full climate model, with a 3 °C end-of-century <span class="hlt">global</span>-average warming yielding regional increases of hundreds of percent to >1,000% in the probability density of the largest accumulations that have historical precedents. The probabilities of unprecedented accumulations are also consistent with the extension of the cutoff.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/28115693','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/28115693"><span><span class="hlt">Global</span> warming <span class="hlt">precipitation</span> accumulation increases above the current-climate cutoff scale.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Neelin, J David; Sahany, Sandeep; Stechmann, Samuel N; Bernstein, Diana N</p> <p>2017-02-07</p> <p><span class="hlt">Precipitation</span> accumulations, integrated over rainfall events, can be affected by both intensity and duration of the storm event. Thus, although <span class="hlt">precipitation</span> intensity is widely projected to increase under <span class="hlt">global</span> warming, a clear framework for predicting accumulation changes has been lacking, despite the importance of accumulations for societal impacts. Theory for changes in the probability density function (pdf) of <span class="hlt">precipitation</span> accumulations is presented with an evaluation of these changes in <span class="hlt">global</span> climate model simulations. We show that a simple set of conditions implies roughly exponential increases in the frequency of the very largest accumulations above a physical cutoff scale, increasing with event size. The pdf exhibits an approximately power-law range where probability density drops slowly with each order of magnitude size increase, up to a cutoff at large accumulations that limits the largest events experienced in current climate. The theory predicts that the cutoff scale, controlled by the interplay of moisture convergence variance and <span class="hlt">precipitation</span> loss, tends to increase under <span class="hlt">global</span> warming. Thus, precisely the large accumulations above the cutoff that are currently rare will exhibit increases in the warmer climate as this cutoff is extended. This indeed occurs in the full climate model, with a 3 °C end-of-century <span class="hlt">global</span>-average warming yielding regional increases of hundreds of percent to >1,000% in the probability density of the largest accumulations that have historical precedents. The probabilities of unprecedented accumulations are also consistent with the extension of the cutoff.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1341226-global-warming-precipitation-accumulation-increases-above-current-climate-cutoff-scale','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1341226-global-warming-precipitation-accumulation-increases-above-current-climate-cutoff-scale"><span><span class="hlt">Global</span> warming <span class="hlt">precipitation</span> accumulation increases above the current-climate cutoff scale</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Neelin, J. David; Sahany, Sandeep; Stechmann, Samuel N.; ...</p> <p>2017-01-23</p> <p><span class="hlt">Precipitation</span> accumulations, integrated over rainfall events, can be affected by both intensity and duration of the storm event. Thus, although <span class="hlt">precipitation</span> intensity is widely projected to increase under <span class="hlt">global</span> warming, a clear framework for predicting accumulation changes has been lacking, despite the importance of accumulations for societal impacts. Theory for changes in the probability density function (pdf) of <span class="hlt">precipitation</span> accumulations is presented with an evaluation of these changes in <span class="hlt">global</span> climate model simulations. We show that a simple set of conditions implies roughly exponential increases in the frequency of the very largest accumulations above a physical cutoff scale, increasing withmore » event size. The pdf exhibits an approximately power-law range where probability density drops slowly with each order of magnitude size increase, up to a cutoff at large accumulations that limits the largest events experienced in current climate. The theory predicts that the cutoff scale, controlled by the interplay of moisture convergence variance and <span class="hlt">precipitation</span> loss, tends to increase under <span class="hlt">global</span> warming. Thus, precisely the large accumulations above the cutoff that are currently rare will exhibit increases in the warmer climate as this cutoff is extended. This indeed occurs in the full climate model, with a 3 °C end-of-century <span class="hlt">global</span>-average warming yielding regional increases of hundreds of percent to >1,000% in the probability density of the largest accumulations that have historical precedents. The probabilities of unprecedented accumulations are also consistent with the extension of the cutoff.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160000787','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160000787"><span>Optical Alignment of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Star Trackers</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hetherington, Samuel; Osgood, Dean; McMann, Joe; Roberts, Viki; Gill, James; Mclean, Kyle</p> <p>2013-01-01</p> <p>The optical alignment of the star trackers on the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) core spacecraft at <span class="hlt">NASA</span> Goddard Space Flight Center (GSFC) was challenging due to the layout and structural design of the GPM Lower Bus Structure (LBS) in which the star trackers are mounted as well as the presence of the star tracker shades that blocked line-of-sight to the primary star tracker optical references. The initial solution was to negotiate minor changes in the original LBS design to allow for the installation of a removable item of ground support equipment (GSE) that could be installed whenever measurements of the star tracker optical references were needed. However, this GSE could only be used to measure secondary optical reference cube faces not used by the star tracker vendor to obtain the relationship information and matrix transformations necessary to determine star tracker alignment. Unfortunately, due to unexpectedly large orthogonality errors between the measured secondary adjacent cube faces and the lack of cube calibration data, we required a method that could be used to measure the same reference cube faces as originally measured by the vendor. We describe an alternative technique to theodolite auto-collimation for measurement of an optical reference mirror pointing direction when normal incidence measurements are not possible. This technique was used to successfully align the GPM star trackers and has been used on a number of other <span class="hlt">NASA</span> flight projects. We also discuss alignment theory as well as a GSFC-developed theodolite data analysis package used to analyze angular metrology data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A41C2285S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A41C2285S"><span>Assessment of Observational Uncertainty in Extreme <span class="hlt">Precipitation</span> Events over the Continental United States</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Slinskey, E. A.; Loikith, P. C.; Waliser, D. E.; Goodman, A.</p> <p>2017-12-01</p> <p>Extreme <span class="hlt">precipitation</span> events are associated with numerous societal and environmental impacts. Furthermore, anthropogenic climate change is projected to alter <span class="hlt">precipitation</span> intensity across portions of the Continental United States (CONUS). Therefore, a spatial understanding and intuitive means of monitoring extreme <span class="hlt">precipitation</span> over time is critical. Towards this end, we apply an event-based indicator, developed as a part of <span class="hlt">NASA</span>'s support of the ongoing efforts of the US National Climate Assessment, which assigns categories to extreme <span class="hlt">precipitation</span> events based on 3-day storm totals as a basis for dataset intercomparison. To assess observational uncertainty across a wide range of historical <span class="hlt">precipitation</span> measurement approaches, we intercompare in situ station data from the <span class="hlt">Global</span> Historical Climatology Network (GHCN), satellite-derived <span class="hlt">precipitation</span> data from <span class="hlt">NASA</span>'s Tropical Rainfall Measuring Mission (TRMM), gridded in situ station data from the Parameter-elevation Regressions on Independent Slopes Model (PRISM), <span class="hlt">global</span> reanalysis from <span class="hlt">NASA</span>'s Modern Era Retrospective-Analysis version 2 (MERRA 2), and regional reanalysis with gauge data assimilation from NCEP's North American Regional Reanalysis (NARR). Results suggest considerable variability across the five-dataset suite in the frequency, spatial extent, and magnitude of extreme <span class="hlt">precipitation</span> events. Consistent with expectations, higher resolution datasets were found to resemble station data best and capture a greater frequency of high-end extreme events relative to lower spatial resolution datasets. The degree of dataset agreement varies regionally, however all datasets successfully capture the seasonal cycle of <span class="hlt">precipitation</span> extremes across the CONUS. These intercomparison results provide additional insight about observational uncertainty and the ability of a range of <span class="hlt">precipitation</span> measurement and analysis products to capture extreme <span class="hlt">precipitation</span> event climatology. While the event category threshold is fixed</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070008242&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dclimatology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070008242&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dclimatology"><span>Status and Plans for the WCRP/GEWEX <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.</p> <p>2007-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is an international project under the auspices of the World Climate Research Program (WCRP) and GEWEX (<span class="hlt">Global</span> Water and Energy Experiment). The GPCP group consists of scientists from agencies and universities in various countries that work together to produce a set of <span class="hlt">global</span> <span class="hlt">precipitation</span> analyses at time scales of monthly, pentad, and daily. The status of the current products will be briefly summarized, focusing on the monthly analysis. <span class="hlt">Global</span> and large regional rainfall variations and possible long-term changes are examined using the 27-year (1 979-2005) monthly dataset. In addition to <span class="hlt">global</span> patterns associated with phenomena such as ENSO, the data set is explored for evidence of long-term change. Although the <span class="hlt">global</span> change of <span class="hlt">precipitation</span> in the data set is near zero, the data set does indicate a small upward change in the Tropics (25s-25N) during the period,. especially over ocean. Techniques are derived to isolate and eliminate variations due to ENS0 and major volcanic eruptions and the significance of the linear change is examined. Plans for a GPCP reprocessing for a Version 3 of products, potentially including a fine-time resolution product will be discussed. Current and future links to IPWG will also be addressed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.usgs.gov/ds/832/pdf/ds832.pdf','USGSPUBS'); return false;" href="https://pubs.usgs.gov/ds/832/pdf/ds832.pdf"><span>A quasi-<span class="hlt">global</span> <span class="hlt">precipitation</span> time series for drought monitoring</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Funk, Chris C.; Peterson, Pete J.; Landsfeld, Martin F.; Pedreros, Diego H.; Verdin, James P.; Rowland, James D.; Romero, Bo E.; Husak, Gregory J.; Michaelsen, Joel C.; Verdin, Andrew P.</p> <p>2014-01-01</p> <p>Estimating <span class="hlt">precipitation</span> variations in space and time is an important aspect of drought early warning and environmental monitoring. An evolving drier-than-normal season must be placed in historical context so that the severity of rainfall deficits may quickly be evaluated. To this end, scientists at the U.S. Geological Survey Earth Resources Observation and Science Center, working closely with collaborators at the University of California, Santa Barbara Climate Hazards Group, have developed a quasi-<span class="hlt">global</span> (50°S–50°N, 180°E–180°W), 0.05° resolution, 1981 to near-present gridded <span class="hlt">precipitation</span> time series: the Climate Hazards Group InfraRed <span class="hlt">Precipitation</span> with Stations (CHIRPS) data archive.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20030105588','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030105588"><span>Propulsion Options for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Core Satellite</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cardiff, Eric H.; Davis, Gary T.; Folta, David C.</p> <p>2003-01-01</p> <p>This study was conducted to evaluate several propulsion system options for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) core satellite. Orbital simulations showed clear benefits for the scientific data to be obtained at a constant orbital altitude rather than with a decay/reboost approach. An orbital analysis estimated the drag force on the satellite will be 1 to 12 mN during the five-year mission. Four electric propulsion systems were identified that are able to compensate for these drag forces and maintain a circular orbit. The four systems were the UK-10/TS and the <span class="hlt">NASA</span> 8 cm ion engines, and the ESA RMT and RITl0 EVO radio-frequency ion engines. The mass, cost, and power requirements were examined for these four systems. The systems were also evaluated for the transfer time from the initial orbit of 400 x 650 km altitude orbit to a circular 400 km orbit. The transfer times were excessive, and as a consequence a dual system concept (with a hydrazine monopropellant system for the orbit transfer and electric propulsion for drag compensation) was examined. Clear mass benefits were obtained with the dual system, but cost remains an issue because of the larger power system required for the electric propulsion system. An electrodynamic tether was also evaluated in this trade study.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMIN14A..07L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMIN14A..07L"><span>Online tools for uncovering data quality issues in satellite-based <span class="hlt">global</span> <span class="hlt">precipitation</span> products</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, Z.; Heo, G.</p> <p>2015-12-01</p> <p>Accurate and timely available <span class="hlt">global</span> <span class="hlt">precipitation</span> products are important to many applications such as flood forecasting, hydrological modeling, vector-borne disease research, crop yield estimates, etc. However, data quality issues such as biases and uncertainties are common in satellite-based <span class="hlt">precipitation</span> products and it is important to understand these issues in applications. In recent years, algorithms using multi-satellites and multi-sensors for satellite-based <span class="hlt">precipitation</span> estimates have become popular, such as the TRMM (Tropical Rainfall Measuring Mission) Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) and the latest Integrated Multi-satellitE Retrievals for GPM (IMERG). Studies show that data quality issues for multi-satellite and multi-sensor products can vary with space and time and can be difficult to summarize. Online tools can provide customized results for a given area of interest, allowing customized investigation or comparison on several <span class="hlt">precipitation</span> products. Because downloading data and software is not required, online tools can facilitate <span class="hlt">precipitation</span> product evaluation and comparison. In this presentation, we will present online tools to uncover data quality issues in satellite-based <span class="hlt">global</span> <span class="hlt">precipitation</span> products. Examples will be presented as well.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080045475&hterms=runoff+precipitation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Drunoff%2Bprecipitation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080045475&hterms=runoff+precipitation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Drunoff%2Bprecipitation"><span>Analysis of Multiple <span class="hlt">Precipitation</span> Products and Preliminary Assessment of Their Impact on <span class="hlt">Global</span> Land Data Assimilation System (GLDAS) Land Surface States</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Gottschalck, Jon; Meng, Jesse; Rodel, Matt; Houser, paul</p> <p>2005-01-01</p> <p>Land surface models (LSMs) are computer programs, similar to weather and climate prediction models, which simulate the stocks and fluxes of water (including soil moisture, snow, evaporation, and runoff) and energy (including the temperature of and sensible heat released from the soil) after they arrive on the land surface as <span class="hlt">precipitation</span> and sunlight. It is not currently possible to measure all of the variables of interest everywhere on Earth with sufficient accuracy and space-time resolution. Hence LSMs have been developed to integrate the available observations with our understanding of the physical processes involved, using powerful computers, in order to map these stocks and fluxes as they change in time. The maps are used to improve weather forecasts, support water resources and agricultural applications, and study the Earth's water cycle and climate variability. <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Land Data Assimilation System (GLDAS) project facilitates testing of several different LSMs with a variety of input datasets (e.g., <span class="hlt">precipitation</span>, plant type). <span class="hlt">Precipitation</span> is arguably the most important input to LSMs. Many <span class="hlt">precipitation</span> datasets have been produced using satellite and rain gauge observations and weather forecast models. In this study, seven different <span class="hlt">global</span> <span class="hlt">precipitation</span> datasets were evaluated over the United States, where dense rain gauge networks contribute to reliable <span class="hlt">precipitation</span> maps. We then used the seven datasets as inputs to GLDAS simulations, so that we could diagnose their impacts on output stocks and fluxes of water. In terms of totals, the Climate Prediction Center (CPC) Merged Analysis of <span class="hlt">Precipitation</span> (CMAP) had the closest agreement with the US rain gauge dataset for all seasons except winter. The CMAP <span class="hlt">precipitation</span> was also the most closely correlated in time with the rain gauge data during spring, fall, and winter, while the satellitebased estimates performed best in summer. The GLDAS simulations revealed that modeled soil moisture is highly</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19930010903','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19930010903"><span>Observational and modeling studies of heat, moisture, <span class="hlt">precipitation</span>, and <span class="hlt">global</span>-scale circulation patterns</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Vincent, Dayton G.; Robertson, Franklin</p> <p>1993-01-01</p> <p>The research sponsored by this grant is a continuation and an extension of the work conducted under a previous contract, 'South Pacific Convergence Zone and <span class="hlt">Global</span>-Scale Circulations'. In the prior work, we conducted a detailed investigation of the South Pacific convergence zone (SPCZ), and documented many of its significant features and characteristics. We also conducted studies of its interaction with <span class="hlt">global</span>-scale circulation features through the use of both observational and modeling studies. The latter was accomplished toward the end of the contract when Dr. James Hurrell, then a Ph.D. candidate, successfully ported the <span class="hlt">NASA</span> GLA general circulation model (GCM) to Purdue University. In our present grant, we have expanded our previous research to include studies of other convectively-driven circulation systems in the tropics besides the SPCZ. Furthermore, we have continued to examine the relationship between these convective systems and <span class="hlt">global</span>-scale circulation patterns. Our recent research efforts have focused on three objectives: (1) determining the periodicity of large-scale bands of organized convection in the tropics, primarily synoptic to intraseasonal time scales in the Southern Hemisphere; (2) examining the relative importance of tropical versus mid-latitude forcing for Southern Hemisphere summertime subtropical jets, particularly over the Pacific Ocean; and (3) estimating tropical <span class="hlt">precipitation</span>, especially over oceans, using observational and budget methods. A summary list of our most significant accomplishments in the past year is given.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018RvGeo..56...79S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018RvGeo..56...79S"><span>A Review of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Data Sets: Data Sources, Estimation, and Intercomparisons</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sun, Qiaohong; Miao, Chiyuan; Duan, Qingyun; Ashouri, Hamed; Sorooshian, Soroosh; Hsu, Kuo-Lin</p> <p>2018-03-01</p> <p>In this paper, we present a comprehensive review of the data sources and estimation methods of 30 currently available <span class="hlt">global</span> <span class="hlt">precipitation</span> data sets, including gauge-based, satellite-related, and reanalysis data sets. We analyzed the discrepancies between the data sets from daily to annual timescales and found large differences in both the magnitude and the variability of <span class="hlt">precipitation</span> estimates. The magnitude of annual <span class="hlt">precipitation</span> estimates over <span class="hlt">global</span> land deviated by as much as 300 mm/yr among the products. Reanalysis data sets had a larger degree of variability than the other types of data sets. The degree of variability in <span class="hlt">precipitation</span> estimates also varied by region. Large differences in annual and seasonal estimates were found in tropical oceans, complex mountain areas, northern Africa, and some high-latitude regions. Overall, the variability associated with extreme <span class="hlt">precipitation</span> estimates was slightly greater at lower latitudes than at higher latitudes. The reliability of <span class="hlt">precipitation</span> data sets is mainly limited by the number and spatial coverage of surface stations, the satellite algorithms, and the data assimilation models. The inconsistencies described limit the capability of the products for climate monitoring, attribution, and model validation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160000949','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160000949"><span>A Multi-Frequency Wide-Swath Spaceborne Cloud and <span class="hlt">Precipitation</span> Imaging Radar</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Lihua; Racette, Paul; Heymsfield, Gary; McLinden, Matthew; Venkatesh, Vijay; Coon, Michael; Perrine, Martin; Park, Richard; Cooley, Michael; Stenger, Pete; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160000949'); toggleEditAbsImage('author_20160000949_show'); toggleEditAbsImage('author_20160000949_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160000949_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160000949_hide"></p> <p>2016-01-01</p> <p>Microwave and millimeter-wave radars have proven their effectiveness in cloud and <span class="hlt">precipitation</span> observations. The <span class="hlt">NASA</span> Earth Science Decadal Survey (DS) Aerosol, Cloud and Ecosystems (ACE) mission calls for a dual-frequency cloud radar (W band 94 GHz and Ka-band 35 GHz) for <span class="hlt">global</span> measurements of cloud microphysical properties. Recently, there have been discussions of utilizing a tri-frequency (KuKaW-band) radar for a combined ACE and <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) follow-on mission that has evolved into the Cloud and <span class="hlt">Precipitation</span> Process Mission (CaPPM) concept. In this presentation we will give an overview of the technology development efforts at the <span class="hlt">NASA</span> Goddard Space Flight Center (GSFC) and at Northrop Grumman Electronic Systems (NGES) through projects funded by the <span class="hlt">NASA</span> Earth Science Technology Office (ESTO) Instrument Incubator Program (IIP). Our primary objective of this research is to advance the key enabling technologies for a tri-frequency (KuKaW-band) shared-aperture spaceborne imaging radar to provide unprecedented, simultaneous multi-frequency measurements that will enhance understanding of the effects of clouds and <span class="hlt">precipitation</span> and their interaction on Earth climate change. Research effort has been focused on concept design and trade studies of the tri-frequency radar; investigating architectures that provide tri-band shared-aperture capability; advancing the development of the Ka band active electronically scanned array (AESA) transmitreceive (TR) module, and development of the advanced radar backend electronics.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li class="active"><span>12</span></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_12 --> <div id="page_13" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="241"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1259901-identifying-sensitive-ranges-global-warming-precipitation-change-dependence-convective-parameters','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1259901-identifying-sensitive-ranges-global-warming-precipitation-change-dependence-convective-parameters"><span>Identifying sensitive ranges in <span class="hlt">global</span> warming <span class="hlt">precipitation</span> change dependence on convective parameters</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Bernstein, Diana N.; Neelin, J. David</p> <p>2016-04-28</p> <p>A branch-run perturbed-physics ensemble in the Community Earth System Model estimates impacts of parameters in the deep convection scheme on current hydroclimate and on end-of-century <span class="hlt">precipitation</span> change projections under <span class="hlt">global</span> warming. Regional <span class="hlt">precipitation</span> change patterns prove highly sensitive to these parameters, especially in the tropics with local changes exceeding 3mm/d, comparable to the magnitude of the predicted change and to differences in <span class="hlt">global</span> warming predictions among the Coupled Model Intercomparison Project phase 5 models. This sensitivity is distributed nonlinearly across the feasible parameter range, notably in the low-entrainment range of the parameter for turbulent entrainment in the deep convection scheme.more » This suggests that a useful target for parameter sensitivity studies is to identify such disproportionately sensitive dangerous ranges. Here, the low-entrainment range is used to illustrate the reduction in <span class="hlt">global</span> warming regional <span class="hlt">precipitation</span> sensitivity that could occur if this dangerous range can be excluded based on evidence from current climate.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/1259901-identifying-sensitive-ranges-global-warming-precipitation-change-dependence-convective-parameters','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/1259901-identifying-sensitive-ranges-global-warming-precipitation-change-dependence-convective-parameters"><span>Identifying sensitive ranges in <span class="hlt">global</span> warming <span class="hlt">precipitation</span> change dependence on convective parameters</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Bernstein, Diana N.; Neelin, J. David</p> <p></p> <p>A branch-run perturbed-physics ensemble in the Community Earth System Model estimates impacts of parameters in the deep convection scheme on current hydroclimate and on end-of-century <span class="hlt">precipitation</span> change projections under <span class="hlt">global</span> warming. Regional <span class="hlt">precipitation</span> change patterns prove highly sensitive to these parameters, especially in the tropics with local changes exceeding 3mm/d, comparable to the magnitude of the predicted change and to differences in <span class="hlt">global</span> warming predictions among the Coupled Model Intercomparison Project phase 5 models. This sensitivity is distributed nonlinearly across the feasible parameter range, notably in the low-entrainment range of the parameter for turbulent entrainment in the deep convection scheme.more » This suggests that a useful target for parameter sensitivity studies is to identify such disproportionately sensitive dangerous ranges. Here, the low-entrainment range is used to illustrate the reduction in <span class="hlt">global</span> warming regional <span class="hlt">precipitation</span> sensitivity that could occur if this dangerous range can be excluded based on evidence from current climate.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20010018488&hterms=year&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DThis%2Byear','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20010018488&hterms=year&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D10%26Ntt%3DThis%2Byear"><span>The Magnitude and Variability of <span class="hlt">Global</span> and Regional <span class="hlt">Precipitation</span> Based on the 22-Year GPCP (<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project) and Three-Year TRMM (Tropical Rainfall Measuring Mission) Data Sets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Curtis, Scott; Huffman, George; Bolvin, David; Nelkin, Eric</p> <p>2001-01-01</p> <p>This paper gives an overview of the analysis of <span class="hlt">global</span> <span class="hlt">precipitation</span> over the last few decades and the impact of the new TRMM <span class="hlt">precipitation</span> observations. The 20+ year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis of the World Climate Research Program's (WCRP/GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is used to study <span class="hlt">global</span> and regional variations and trends and is compared to the much shorter TRMM (Tropical Rainfall Measuring Mission) tropical data set. The GPCP data set shows no significant trend in <span class="hlt">precipitation</span> over the twenty years, unlike the positive trend in <span class="hlt">global</span> surface temperatures over the past century. The <span class="hlt">global</span> trend analysis must be interpreted carefully, however, because the inhomogeneity of the data set makes detecting a small signal very difficult, especially over this relatively short period. Identifying regional trends in <span class="hlt">precipitation</span> may be more practical. From 1979 to 1999 the northern mid-latitudes appear to be drying, the southern mid-latitudes have gotten wetter, and there is a mixed signal in the tropics. The relation between this field of trends and the relation to the frequency of El Nino events during this time period is explored. Monthly anomalies of <span class="hlt">precipitation</span> are related to ENSO variations with clear signals extending into middle and high latitudes of both hemispheres. The El Nino and La Nina mean anomalies are near mirror images of each other and when combined produce an ENSO signal with significant spatial continuity over large distances. These El Nino minus La Nina composites of normalized <span class="hlt">precipitation</span> show the usual positive, or wet, anomaly over the central and eastern Pacific Ocean with the negative, or dry, anomaly over the maritime continent along with an additional negative anomaly over Brazil and the Atlantic Ocean extending into Africa and a positive anomaly over the Horn of Africa and the western Indian Ocean. A number of the features are shown to extend into high latitudes. Positive anomalies</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20050215567','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20050215567"><span>A <span class="hlt">Global</span> Rapid Integrated Monitoring System for Water Cycle and Water Resource Assessment (<span class="hlt">Global</span>-RIMS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Roads, John; Voeroesmarty, Charles</p> <p>2005-01-01</p> <p>The main focus of our work was to solidify underlying data sets, the data processing tools and the modeling environment needed to perform a series of long-term <span class="hlt">global</span> and regional hydrological simulations leading eventually to routine hydrometeorological predictions. A water and energy budget synthesis was developed for the Mississippi River Basin (Roads et al. 2003), in order to understand better what kinds of errors exist in current hydrometeorological data sets. This study is now being extended <span class="hlt">globally</span> with a larger number of observations and model based data sets under the new <span class="hlt">NASA</span> NEWS program. A <span class="hlt">global</span> comparison of a number of <span class="hlt">precipitation</span> data sets was subsequently carried out (Fekete et al. 2004) in which it was further shown that reanalysis <span class="hlt">precipitation</span> has substantial problems, which subsequently led us to the development of a <span class="hlt">precipitation</span> assimilation effort (Nunes and Roads 2005). We believe that with current levels of model skill in predicting <span class="hlt">precipitation</span> that <span class="hlt">precipitation</span> assimilation is necessary to get the appropriate land surface forcing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040034128&hterms=conducting+scientific+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dconducting%2Bscientific%2Bresearch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040034128&hterms=conducting+scientific+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dconducting%2Bscientific%2Bresearch"><span>Research on TRMM and GPM Through Collaboration Between JAXA & <span class="hlt">NASA</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.</p> <p>2003-01-01</p> <p>The Japan Aerospace Exploration Agency (JAXA) is conducting joint research with the Communications Research Laboratory (CRL) and the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) on a new constellation satellite observation project called <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM), the main satellite of which is planned for launch in 2008 by JAXA. This GPM project was proposed as a follow-up mission to the Tropical Rainfall Measuring Mission (TRMM) by both the Japanese and American sides based on the unparalleled scientific success of TRMM. A major reason for TRMM's success was the use of the worlds first spaceborne rain radar, the <span class="hlt">Precipitation</span> Radar (PR) system developed by the National Space Development Agency of Japan (NASDA, now JAXA) and CRL. Measurements from this instrument have ushered in many new scientific findings and have opened a new era of <span class="hlt">precipitation</span> measuring from space. GPM is an ambitious project which will produce accurate and frequent <span class="hlt">global</span> observations of <span class="hlt">precipitation</span> (both rain and snow) made possible by replacing TRMM with a new core satellite carrying an advanced radar-radiometer system, and serving as the centerpiece for a constellation of some eight (8) additional satellites being provided through international cooperation. The core satellite is to be flown up to high latitudes (inclined some 65-70 degrees), and will carry a dual-frequency <span class="hlt">precipitation</span> radar (DPR) that will be newly developed by JAXA and CRL, along with a large aperture, extended frequency-range passive microwave radiometer being provided by <span class="hlt">NASA</span>. Each constellation satellite will also carry some type of multi-channel passive microwave radiometer whose rain estimates will be calibrated and referenced to those made by the core satellite, producing for the first time fully-<span class="hlt">global</span>, continuous, and bias-free <span class="hlt">precipitation</span> datasets. GPM data will be delivered in near-realtime, taking a major step toward the operational use of <span class="hlt">precipitation</span> information for model</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120015429','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120015429"><span><span class="hlt">Precipitation</span> from Space: Advancing Earth System Science</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kucera, Paul A.; Ebert, Elizabeth E.; Turk, F. Joseph; Levizzani, Vicenzo; Kirschbaum, Dalia; Tapiador, Francisco J.; Loew, Alexander; Borsche, M.</p> <p>2012-01-01</p> <p> otherwise possible. These developments have taken place in parallel with the growth of an increasingly interconnected scientific environment. Scientists from different disciplines can easily interact with each other via information and materials they encounter online, and collaborate remotely without ever meeting each other in person. Likewise, these <span class="hlt">precipitation</span> datasets are quickly and easily available via various data portals and are widely used. Within the framework of the <span class="hlt">NASA</span>/JAXA <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM mission, these applications will become increasingly interconnected. We emphasize that <span class="hlt">precipitation</span> observations by themselves provide an incomplete picture of the state of the atmosphere. For example, it is unlikely that a richer understanding of the <span class="hlt">global</span> water cycle will be possible by standalone missions and algorithms, but must also involve some component of data, where model analyses of the physical state are constrained alongside multiple observations (e.g., <span class="hlt">precipitation</span>, evaporation, radiation). The next section provides examples extracted from the many applications that use various high-resolution <span class="hlt">precipitation</span> products. The final section summarizes the future system for <span class="hlt">global</span> <span class="hlt">precipitation</span> processing.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030025399&hterms=information+analysis&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dinformation%2Banalysis','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030025399&hterms=information+analysis&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dinformation%2Banalysis"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Analyses (3-Hourly to Monthly) Using TRMM, SSM/I and other Satellite Information</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Huffman, George; Curtis, Scott; Bolvin, David; Nelkin, Eric</p> <p>2002-01-01</p> <p><span class="hlt">Global</span> <span class="hlt">precipitation</span> analysis covering the last few decades and the impact of the new TRMM <span class="hlt">precipitation</span> observations are discussed. The 20+ year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis of the World Climate Research Program's (WCRP/GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is used to explore <span class="hlt">global</span> and regional variations and trends and is compared to the much shorter TRMM(Tropical Rainfall Measuring Mission) tropical data set. The GPCP data set shows no significant trend in <span class="hlt">precipitation</span> over the twenty years, unlike the positive trend in <span class="hlt">global</span> surface temperatures over the past century. Regional trends are also analyzed. A trend pattern that is a combination of both El Nino and La Nina <span class="hlt">precipitation</span> features is evident in the 20-year data set. This pattern is related to an increase with time in the number of combined months of El Nino and La Nina during the 20 year period. Monthly anomalies of <span class="hlt">precipitation</span> are related to ENS0 variations with clear signals extending into middle and high latitudes of both hemispheres. The GPCP daily, 1 deg. latitude-longitude analysis, which is available from January 1997 to the present is described and the evolution of <span class="hlt">precipitation</span> patterns on this time scale related to El Nino and La Nina is discussed. Finally, a TRMM-based 3-hr analysis is described that uses TRMM to calibrate polar-orbit microwave observations from SSM/I and geosynchronous IR observations and merges the various calibrated observations into a final, 3-hr resolution map. This TRMM standard product will be available for the entire TRMM period (January 1998-present). A real-time version of this merged product is being produced and is available at 0.25 deg. latitude-longitude resolution over the latitude range from 5O deg. N-50 deg. S. Examples are shown, including its use in monitoring flood conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy...49.4281S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy...49.4281S"><span>The nonstationary impact of local temperature changes and ENSO on extreme <span class="hlt">precipitation</span> at the <span class="hlt">global</span> scale</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sun, Qiaohong; Miao, Chiyuan; Qiao, Yuanyuan; Duan, Qingyun</p> <p>2017-12-01</p> <p>The El Niño-Southern Oscillation (ENSO) and local temperature are important drivers of extreme <span class="hlt">precipitation</span>. Understanding the impact of ENSO and temperature on the risk of extreme <span class="hlt">precipitation</span> over <span class="hlt">global</span> land will provide a foundation for risk assessment and climate-adaptive design of infrastructure in a changing climate. In this study, nonstationary generalized extreme value distributions were used to model extreme <span class="hlt">precipitation</span> over <span class="hlt">global</span> land for the period 1979-2015, with ENSO indicator and temperature as covariates. Risk factors were estimated to quantify the contrast between the influence of different ENSO phases and temperature. The results show that extreme <span class="hlt">precipitation</span> is dominated by ENSO over 22% of <span class="hlt">global</span> land and by temperature over 26% of <span class="hlt">global</span> land. With a warming climate, the risk of high-intensity daily extreme <span class="hlt">precipitation</span> increases at high latitudes but decreases in tropical regions. For ENSO, large parts of North America, southern South America, and southeastern and northeastern China are shown to suffer greater risk in El Niño years, with more than double the chance of intense extreme <span class="hlt">precipitation</span> in El Niño years compared with La Niña years. Moreover, regions with more intense <span class="hlt">precipitation</span> are more sensitive to ENSO. <span class="hlt">Global</span> climate models were used to investigate the changing relationship between extreme <span class="hlt">precipitation</span> and the covariates. The risk of extreme, high-intensity <span class="hlt">precipitation</span> increases across high latitudes of the Northern Hemisphere but decreases in middle and lower latitudes under a warming climate scenario, and will likely trigger increases in severe flooding and droughts across the globe. However, there is some uncertainties associated with the influence of ENSO on predictions of future extreme <span class="hlt">precipitation</span>, with the spatial extent and risk varying among the different models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20830927','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20830927"><span><span class="hlt">NASA</span>-modified <span class="hlt">precipitation</span> products to improve USEPA nonpoint source water quality modeling for the Chesapeake Bay.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Nigro, Joseph; Toll, David; Partington, Ed; Ni-Meister, Wenge; Lee, Shihyan; Gutierrez-Magness, Angelica; Engman, Ted; Arsenault, Kristi</p> <p>2010-01-01</p> <p>The USEPA has estimated that over 20,000 water bodies within the United States do not meet water quality standards. One of the regulations in the Clean Water Act of 1972 requires states to monitor the total maximum daily load, or the amount of pollution that can be carried by a water body before it is determined to be "polluted," for any watershed in the United States (Copeland, 2005). In response to this mandate, the USEPA developed Better Assessment Science Integrating Nonpoint Sources (BASINS) as a decision support tool for assessing pollution and to guide the decision-making process for improving water quality. One of the models in BASINS, the Hydrological Simulation Program-Fortran (HSPF), computes continuous streamflow rates and pollutant concentration at each basin outlet. By design, <span class="hlt">precipitation</span> and other meteorological data from weather stations serve as standard model input. In practice, these stations may be unable to capture the spatial heterogeneity of <span class="hlt">precipitation</span> events, especially if they are few and far between. An attempt was made to resolve this issue by substituting station data with <span class="hlt">NASA</span>-modified/NOAA <span class="hlt">precipitation</span> data. Using these data within HSPF, streamflow was calculated for seven watersheds in the Chesapeake Bay Basin during low flow periods, convective storm periods, and annual flows. In almost every case, the modeling performance of HSPF increased when using the <span class="hlt">NASA</span>-modified <span class="hlt">precipitation</span> data, resulting in better streamflow statistics and, potentially, in improved water quality assessment.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180000054','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180000054"><span>A Ground Validation Network for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schwaller, Mathew R.; Morris, K. Robert</p> <p>2011-01-01</p> <p>A prototype Validation Network (VN) is currently operating as part of the Ground Validation System for <span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission. The VN supports <span class="hlt">precipitation</span> retrieval algorithm development in the GPM prelaunch era. Postlaunch, the VN will be used to validate GPM spacecraft instrument measurements and retrieved <span class="hlt">precipitation</span> data products. The period of record for the VN prototype starts on 8 August 2006 and runs to the present day. The VN database includes spacecraft data from the Tropical Rainfall Measuring Mission (TRMM) <span class="hlt">precipitation</span> radar (PR) and coincident ground radar (GR) data from operational meteorological networks in the United States, Australia, Korea, and the Kwajalein Atoll in the Marshall Islands. Satellite and ground radar data products are collected whenever the PR satellite track crosses within 200 km of a VN ground radar, and these data are stored permanently in the VN database. VN products are generated from coincident PR and GR observations when a significant rain event occurs. The VN algorithm matches PR and GR radar data (including retrieved <span class="hlt">precipitation</span> data in the case of the PR) by calculating averages of PR reflectivity (both raw and attenuation corrected) and rain rate, and GR reflectivity at the geometric intersection of the PR rays with the individual GR elevation sweeps. The algorithm thus averages the minimum PR and GR sample volumes needed to "matchup" the spatially coincident PR and GR data types. The result of this technique is a set of vertical profiles for a given rainfall event, with coincident PR and GR samples matched at specified heights throughout the profile. VN data can be used to validate satellite measurements and to track ground radar calibration over time. A comparison of matched TRMM PR and GR radar reflectivity factor data found a remarkably small difference between the PR and GR radar reflectivity factor averaged over this period of record in stratiform and convective rain cases when</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1251148','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1251148"><span><span class="hlt">Precipitation</span> and Hydrology Experiment Counter-Flow Spectrometer and Impactor Field Campaign Report</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Poellot, Michael</p> <p></p> <p>The U.S. Department of Energy (DOE)’s Atmospheric Radiation Measurement (ARM) Climate Research Facility Aerial Facility (ARM AAF) counter-flow spectrometer and impactor (CSI) probe was flown on the University of North Dakota Cessna Citation research aircraft during the Integrated <span class="hlt">Precipitation</span> and Hydrology Experiment (IPHEX). The field campaign took place during May and June of 2014 over North Carolina and its coastal waters as part of a National Aeronautics and Space Administration (<span class="hlt">NASA</span>) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement validation campaign. The CSI was added to the Citation instrument suite to support the involvement of Jay Mace through the <span class="hlt">NASA</span> Advanced Composition Explorer (ACE) satellitemore » program and flights of the <span class="hlt">NASA</span> ER-2 aircraft, which is a civilian version of the Air Force’s U2-S reconnaissance platform. The ACE program funded extra ER-2 flights to focus on clouds that are weakly <span class="hlt">precipitating</span>, which are also of interest to the Atmospheric System Research program sponsored by DOE.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016APJAS..52..459H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016APJAS..52..459H"><span>Present-day constraint for tropical Pacific <span class="hlt">precipitation</span> changes due to <span class="hlt">global</span> warming in CMIP5 models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ham, Yoo-Geun; Kug, Jong-Seong</p> <p>2016-11-01</p> <p>The sensitivity of the <span class="hlt">precipitation</span> responses to greenhouse warming can depend on the present-day climate. In this study, a robust linkage between the present-day <span class="hlt">precipitation</span> climatology and <span class="hlt">precipitation</span> change owing to <span class="hlt">global</span> warming is examined in inter-model space. A model with drier climatology in the present-day simulation tends to simulate an increase in climatological <span class="hlt">precipitation</span> owing to <span class="hlt">global</span> warming. Moreover, the horizontal gradient of the present-day <span class="hlt">precipitation</span> climatology plays an important role in determining the <span class="hlt">precipitation</span> changes. On the basis of these robust relationships, future <span class="hlt">precipitation</span> changes are calibrated by removing the impact of the present-day <span class="hlt">precipitation</span> bias in the climate models. To validate this result, the perfect model approach is adapted, which treats a particular model's <span class="hlt">precipitation</span> change as an observed change. The results suggest that the <span class="hlt">precipitation</span> change pattern can be generally improved by applying the present statistical approach.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160012020','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160012020"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Spacecraft Power System Design and Orbital Performance</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Dakermanji, George; Burns, Michael; Lee, Leonine; Lyons, John; Kim, David; Spitzer, Thomas; Kercheval, Bradford</p> <p>2016-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) spacecraft was jointly developed by National Aeronautics and Space Administration (<span class="hlt">NASA</span>) and Japan Aerospace Exploration Agency (JAXA). It is a Low Earth Orbit (LEO) spacecraft launched on February 27, 2014. The spacecraft is in a circular 400 Km altitude, 65 degrees inclination nadir pointing orbit with a three year basic mission life. The solar array consists of two sun tracking wings with cable wraps. The panels are populated with triple junction cells of nominal 29.5% efficiency. One axis is canted by 52 degrees to provide power to the spacecraft at high beta angles. The power system is a Direct Energy Transfer (DET) system designed to support 1950 Watts orbit average power. The batteries use SONY 18650HC cells and consist of three 8s x 84p batteries operated in parallel as a single battery. The paper describes the power system design details, its performance to date and the lithium ion battery model that was developed for use in the energy balance analysis and is being used to predict the on-orbit health of the battery.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000012314&hterms=extratropical+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dextratropical%2Bstorm','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000012314&hterms=extratropical+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dextratropical%2Bstorm"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Patterns Associated with Short-Term Extratropical Climate Fluctuations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David T.</p> <p>1999-01-01</p> <p>Two <span class="hlt">globally</span>-complete, observation-only <span class="hlt">precipitation</span> datasets have recently been developed for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). Both depend heavily on a variety of satellite input, as well as gauge data over land. The first, Version 2x79, provides monthly estimates on a 2.5 deg. x 2.5 deg. lat/long grid for the period 1979 through late 1999 (by the time of the conference). The second, the One-Degree Daily (1DD), provides daily estimates on a 1 deg. x l deg. grid for the period 1997 through late 1999 (by the time of the conference). Both are in beta test preparatory to release as official GPCP products. These datasets provide a unique perspective on the hydrological effects of the various atmospheric flow anomalies that have been identified by meteorologists. In this paper we discuss the regional <span class="hlt">precipitation</span> effects that result from persistent extratropical flow anomalies. We will focus on the Pacific-North America (PNA) and North Atlantic Oscillation (NAO) patterns. Each characteristically becomes established on synoptic time scales, but then persists for periods that can exceed a month. The onset phase of each appears to have systematic mobile features, while the mature phase tend to be more stationary. Accordingly, composites of monthly data for outstanding positive and negative events (separately) contained in the 20-year record reveal the climatological structure of the <span class="hlt">precipitation</span> during the mature phase. The climatological anomalies of the positive, negative, and (positive-negative) composites show the expected storm-track-related shifts in <span class="hlt">precipitation</span>, and provide the advantage of putting the known <span class="hlt">precipitation</span> effects over land in the context of the total pattern over land and ocean. As well, this <span class="hlt">global</span> perspective points out some unexpected areas of correlation. Day-by-day composites of daily data anchored to the onset date demonstrate the systematic features during the onset. Although the 1DD has a fairly short record, some</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23364744','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23364744"><span>Divergent <span class="hlt">global</span> <span class="hlt">precipitation</span> changes induced by natural versus anthropogenic forcing.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Liu, Jian; Wang, Bin; Cane, Mark A; Yim, So-Young; Lee, June-Yi</p> <p>2013-01-31</p> <p>As a result of <span class="hlt">global</span> warming, <span class="hlt">precipitation</span> is likely to increase in high latitudes and the tropics and to decrease in already dry subtropical regions. The absolute magnitude and regional details of such changes, however, remain intensely debated. As is well known from El Niño studies, sea-surface-temperature gradients across the tropical Pacific Ocean can strongly influence <span class="hlt">global</span> rainfall. Palaeoproxy evidence indicates that the difference between the warm west Pacific and the colder east Pacific increased in past periods when the Earth warmed as a result of increased solar radiation. In contrast, in most model projections of future greenhouse warming this gradient weakens. It has not been clear how to reconcile these two findings. Here we show in climate model simulations that the tropical Pacific sea-surface-temperature gradient increases when the warming is due to increased solar radiation and decreases when it is due to increased greenhouse-gas forcing. For the same <span class="hlt">global</span> surface temperature increase the latter pattern produces less rainfall, notably over tropical land, which explains why in the model the late twentieth century is warmer than in the Medieval Warm Period (around AD 1000-1250) but <span class="hlt">precipitation</span> is less. This difference is consistent with the <span class="hlt">global</span> tropospheric energy budget, which requires a balance between the latent heat released in <span class="hlt">precipitation</span> and radiative cooling. The tropospheric cooling is less for increased greenhouse gases, which add radiative absorbers to the troposphere, than for increased solar heating, which is concentrated at the Earth's surface. Thus warming due to increased greenhouse gases produces a climate signature different from that of warming due to solar radiation changes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20000057325','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20000057325"><span>Comparison of <span class="hlt">Globally</span> Complete Versions of GPCP and CMAP Monthly <span class="hlt">Precipitation</span> Analyses</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Curtis, Scott; Adler, Robert; Huffman, George</p> <p>1998-01-01</p> <p>In this study two <span class="hlt">global</span> observational <span class="hlt">precipitation</span> products, namely the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project's (GPCP) community data set and CPC's Merged Analysis of <span class="hlt">Precipitation</span> (CMAP), are compared on <span class="hlt">global</span> to regional scales in the context of the different satellite and gauge data inputs and merger techniques. The average annual <span class="hlt">global</span> <span class="hlt">precipitation</span> rates, calculated from data common in regions/times to both GPCP and CMAP, are similar for the two. However, CMAP is larger than GPCP in the tropics because: (1) CMAP values in the tropics are adjusted month-by month to atoll gauge data in the West Pacific, which are greater than any satellite observations used; and (2) CMAP is produced from a linear combination of data inputs, which tends to give higher values than the microwave emission estimates alone to which the inputs are adjusted in the GPCP merger over the ocean. The CMAP month-to-month adjustment to the atolls also appears to introduce temporal variations throughout the tropics which are not detected by satellite-only products. On the other hand, GPCP is larger than CMAP in the high-latitude oceans, where CMAP includes the scattering based microwave estimates which are consistently smaller than the emission estimates used in both techniques. Also, in the polar regions GPCP transitions from the emission microwave estimates to the larger TOVS-based estimates. Finally, in high-latitude land areas GPCP can be significantly larger than CMAP because GPCP attempts to correct the gauge estimates for errors due to wind loss effects.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015JHyd..530...51S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015JHyd..530...51S"><span>A <span class="hlt">global</span> analysis of the asymmetric effect of ENSO on extreme <span class="hlt">precipitation</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sun, Xun; Renard, Benjamin; Thyer, Mark; Westra, Seth; Lang, Michel</p> <p>2015-11-01</p> <p>The <span class="hlt">global</span> and regional influence of the El Niño-Southern Oscillation (ENSO) phenomenon on extreme <span class="hlt">precipitation</span> was analyzed using a <span class="hlt">global</span> database comprising over 7000 high quality observation sites. To better quantify possible changes in relatively rare design-relevant <span class="hlt">precipitation</span> quantiles (e.g. the 1 in 10 year event), a Bayesian regional extreme value model was used, which employed the Southern Oscillation Index (SOI) - a measure of ENSO - as a covariate. Regions found to be influenced by ENSO include parts of North and South America, southern and eastern Asia, South Africa, Australia and Europe. The season experiencing the greatest ENSO effect varies regionally, but in most of the ENSO-affected regions the strongest effect happens in boreal winter, during which time the 10-year <span class="hlt">precipitation</span> for |SOI| = 20 (corresponding to either a strong El Niño or La Niña episode) can be up to 50% higher or lower than for SOI = 0 (a neutral phase). Importantly, the effect of ENSO on extreme <span class="hlt">precipitation</span> is asymmetric, with most parts of the world experiencing a significant effect only for a single ENSO phase. This finding has important implications on the current understanding of how ENSO influences extreme <span class="hlt">precipitation</span>, and will enable a more rigorous theoretical foundation for providing quantitative extreme <span class="hlt">precipitation</span> intensity predictions at seasonal timescales. We anticipate that incorporating asymmetric impacts of ENSO on extreme <span class="hlt">precipitation</span> will help lead to better-informed climate-adaptive design of flood-sensitive infrastructure.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A33E2401S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A33E2401S"><span>Black Carbon and <span class="hlt">Precipitation</span>: An Energetics Perspective</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sand, M.; Samset, B. H.; Stjern, C.; Tsigaridis, K.; Myhre, G.</p> <p>2017-12-01</p> <p>Airborne Black Carbon (BC) can affect <span class="hlt">precipitation</span> rates, both <span class="hlt">globally</span> and regionally, through a number of mechanisms. Many studies have investigated the impact of the direct radiative effect, indirect modification of cloud properties and rapid adjustments (the semidirect effect), individually or in combination, but the net climate impacts of anthropogenic and natural BC are still highly uncertain. A particular problem is the complex behavior of BC-climate interactions with altitude. Since the atmospheric residence time, ageing and removal processes for BC are also poorly known, differences in vertical BC concentration profiles between models and intercomparison experiments greatly complicate the picture. Recently, <span class="hlt">precipitation</span> changes predicted by climate models have been studied in the framework of changes to the <span class="hlt">global</span> and regional energy balance. Here, we employ such an energetics perspective to simulations of BC inserted at isolated altitudes, in two major climate models (NCAR CESM1, <span class="hlt">NASA</span> GISS). We show the resulting regional and <span class="hlt">global</span> changes to <span class="hlt">precipitation</span>, and analyze it in both in terms of individual components of radiative forcing, and the atmospheric energy balance. The results are presented in the context of recent literature.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3411978','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=3411978"><span>Hot days induced by <span class="hlt">precipitation</span> deficits at the <span class="hlt">global</span> scale</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Mueller, Brigitte; Seneviratne, Sonia I.</p> <p>2012-01-01</p> <p><span class="hlt">Global</span> warming increases the occurrence probability of hot extremes, and improving the predictability of such events is thus becoming of critical importance. Hot extremes have been shown to be induced by surface moisture deficits in some regions. In this study, we assess whether such a relationship holds at the <span class="hlt">global</span> scale. We find that wide areas of the world display a strong relationship between the number of hot days in the regions’ hottest month and preceding <span class="hlt">precipitation</span> deficits. The occurrence probability of an above-average number of hot days is over 70% after <span class="hlt">precipitation</span> deficits in most parts of South America as well as the Iberian Peninsula and Eastern Australia, and over 60% in most of North America and Eastern Europe, while it is below 30–40% after wet conditions in these regions. Using quantile regression analyses, we show that the impact of <span class="hlt">precipitation</span> deficits on the number of hot days is asymmetric, i.e. extreme high numbers of hot days are most strongly influenced. This relationship also applies to the 2011 extreme event in Texas. These findings suggest that effects of soil moisture-temperature coupling are geographically more widespread than commonly assumed. PMID:22802672</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H13R..03B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H13R..03B"><span>Applying Advances in GPM Radiometer Intercalibration and Algorithm Development to a Long-Term TRMM/GPM <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Dataset</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Berg, W. K.</p> <p>2016-12-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) Core Observatory, which was launched in February of 2014, provides a number of advances for satellite monitoring of <span class="hlt">precipitation</span> including a dual-frequency radar, high frequency channels on the GPM Microwave Imager (GMI), and coverage over middle and high latitudes. The GPM concept, however, is about producing unified <span class="hlt">precipitation</span> retrievals from a constellation of microwave radiometers to provide approximately 3-hourly <span class="hlt">global</span> sampling. This involves intercalibration of the input brightness temperatures from the constellation radiometers, development of an apriori <span class="hlt">precipitation</span> database using observations from the state-of-the-art GPM radiometer and radars, and accounting for sensor differences in the retrieval algorithm in a physically-consistent way. Efforts by the GPM inter-satellite calibration working group, or XCAL team, and the radiometer algorithm team to create unified <span class="hlt">precipitation</span> retrievals from the GPM radiometer constellation were fully implemented into the current version 4 GPM <span class="hlt">precipitation</span> products. These include <span class="hlt">precipitation</span> estimates from a total of seven conical-scanning and six cross-track scanning radiometers as well as high spatial and temporal resolution <span class="hlt">global</span> level 3 gridded products. Work is now underway to extend this unified constellation-based approach to the combined TRMM/GPM data record starting in late 1997. The goal is to create a long-term <span class="hlt">global</span> <span class="hlt">precipitation</span> dataset employing these state-of-the-art calibration and retrieval algorithm approaches. This new long-term <span class="hlt">global</span> <span class="hlt">precipitation</span> dataset will incorporate the physics provided by the combined GPM GMI and DPR sensors into the apriori database, extend prior TRMM constellation observations to high latitudes, and expand the available TRMM <span class="hlt">precipitation</span> data to the full constellation of available conical and cross-track scanning radiometers. This combined TRMM/GPM <span class="hlt">precipitation</span> data record will thus provide a high-quality high</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_11");'>11</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li class="active"><span>13</span></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_13 --> <div id="page_14" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="261"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050177041&hterms=whales&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dwhales','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050177041&hterms=whales&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dwhales"><span><span class="hlt">NASA</span>'s Earth Observations of the <span class="hlt">Global</span> Environment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>King, Michael D.</p> <p>2005-01-01</p> <p>A birds eye view of the Earth from afar and up close reveals the power and magnificence of the Earth and juxtaposes the simultaneous impacts and powerlessness of humankind. The <span class="hlt">NASA</span> Electronic Theater presents Earth science observations and visualizations in an historical perspective. Fly in from outer space to Africa and Cape Town. See the latest spectacular images from <span class="hlt">NASA</span> & NOAA remote sensing missions like Meteosat, TRMM, Landsat 7, and Terra, which will be visualized and explained in the context of <span class="hlt">global</span> change. See visualizations of <span class="hlt">global</span> data sets currently available from Earth orbiting satellites, including the Earth at night with its city lights, aerosols from biomass burning in the Middle East and Africa, and retreat of the glaciers on Mt. Kilimanjaro. See the dynamics of vegetation growth and decay over Africa over 17 years. New visualization tools allow us to roam & zoom through massive <span class="hlt">global</span> mosaic images including Landsat and Terra tours of Africa and South America, showing land use and land cover change from Bolivian highlands. Spectacular new visualizations of the <span class="hlt">global</span> atmosphere & oceans are shown. See massive dust storms sweeping across Africa and across the Atlantic to the Caribbean and Amazon basin. See ocean vortexes and currents that bring up the nutrients to feed tiny phytoplankton and draw the fish, pant whales and fisher- man. See how the ocean blooms in response to these currents and El Nino/La Nifia. We will illustrate these and other topics with a dynamic theater-style presentation, along with animations of satellite launch deployments and orbital mapping to highlight aspects of Earth observations from space.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100030622&hterms=storm+water+quality&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dstorm%2Bwater%2Bquality','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100030622&hterms=storm+water+quality&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dstorm%2Bwater%2Bquality"><span><span class="hlt">NASA</span>-Modified <span class="hlt">Precipitation</span> Products to Improve EPA Nonpoint Source Water Quality Modeling for the Chesapeake Bay</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Nigro, Joseph; Toll, David; Partington, Ed; Ni-Meister, Wenge; Lee, Shihyan; Gutierrez-Magness, Angelica; Engman, Ted; Arsenault, Kristi</p> <p>2010-01-01</p> <p>The Environmental Protection Agency (EPA) has estimated that over 20,000 water bodies within the United States do not meet water quality standards. Ninety percent of the impairments are typically caused by nonpoint sources. One of the regulations in the Clean Water Act of 1972 requires States to monitor the Total Maximum Daily Load (TMDL), or the amount of pollution that can be carried by a water body before it is determined to be "polluted", for any watershed in the U.S.. In response to this mandate, the EPA developed Better Assessment Science Integrating Nonpoint Sources (BASINS) as a Decision Support Tool (DST) for assessing pollution and to guide the decision making process for improving water quality. One of the models in BASINS, the Hydrological Simulation Program -- Fortran (HSPF), computes daily stream flow rates and pollutant concentration at each basin outlet. By design, <span class="hlt">precipitation</span> and other meteorological data from weather stations serve as standard model input. In practice, these stations may be unable to capture the spatial heterogeneity of <span class="hlt">precipitation</span> events especially if they are few and far between. An attempt was made to resolve this issue by substituting station data with <span class="hlt">NASA</span> modified/NOAA <span class="hlt">precipitation</span> data. Using these data within HSPF, stream flow was calculated for seven watersheds in the Chesapeake Bay Basin during low flow periods, convective storm periods, and annual flows. In almost every case, the modeling performance of HSPF increased when using the <span class="hlt">NASA</span>-modified <span class="hlt">precipitation</span> data, resulting in better stream flow statistics and, ultimately, in improved water quality assessment.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140013219','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140013219"><span>An Information NEXUS: The <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk Link Module</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Sullivan, D. V.</p> <p>2012-01-01</p> <p>The Link Module described in this paper was first developed for the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk Pacific Mission (GloPAC), four flights of 30 hour duration, supporting the Aura Validation Experiment (AVE). Its second use was during the Genesis and Rapid Intensification Processes (GRIP) experiment, a <span class="hlt">NASA</span> Earth Science field experiment to better understand how tropical storms form and develop into major hurricanes. In these missions, the Link module negotiated all communication over the high bandwidth Ku satellite link, archived al the science data from onboard experiments in a spatially enable database, routed command and control of the instruments from the <span class="hlt">Global</span> Hawk Operations Center, and retransmitted select data sets directly to experimenters control and analysis systems. The availability of aggregated information from collections of sensors, and remote control capabilities, in real-time, is revolutionizing the way Airborne Science is being conducted. Also described is the next generation Link Module now being designed and tested to support the <span class="hlt">NASA</span> Earth Venture missions, the Hurricane and Severe Storm Sentinel (HS3) mission, and Airborne Tropical Tropopause Experiment (ATTREX) mission. Advanced data fusion technologies being developed will further advance the Scientific productivity, flexibility and robustness of these systems. Historically, the Link module evolved from the instrument and communication interface controller used by <span class="hlt">NASA</span>'s Pathfinder and Pathfinder plus solar powered UAS's in the late 1990's. It later was expanded for use in the AIRDAS four channel scanner flown on the <span class="hlt">NASA</span> Altus UAS, and then again to a module in the AMS twelve channel multispectral scanner flying on the <span class="hlt">NASA</span> (Predator-b) Ikhana UAS. The current system is the next step in the evolution, a multi board system packaged in a Curtiss Wright MIL-spec, flight qualified enclosure.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003101','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003101"><span>Total Dust Deposition Flux During <span class="hlt">Precipitation</span> in Toyama, Japan, in the Spring of 2009: A Sensitivity Analysis with the <span class="hlt">NASA</span> GEOS-5 Model</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yasunari, Teppei J.; Colarco, Peter R.; Lau, William K. M.; Osada, Kazuo; Kido, Mizuka; Mahanama, Sarith P. P.; Kim, Kyu-Myong; Da Silva, Arlindo M.</p> <p>2015-01-01</p> <p>We compared the observed total dust deposition fluxes during <span class="hlt">precipitation</span> (TDP) mainly at Toyama in Japan during the period January - April 2009 with results available from four <span class="hlt">NASA</span> GEOS-5 <span class="hlt">global</span> model experiments. The modeled results were obtained from three previous experiments and carried out in one experiment, which were all driven by assimilated meteorology and simulating aerosol distributions for the time period. We focus mainly on the observations of two distinct TDP events, which were reported in Osada et al. (2011), at Toyama, Japan, in February (Event B) and March 2009 (Event C). Although all of our GEOS-5 simulations captured aspects of the observed TDP, we found that our low horizontal spatial resolution control experiment performed generally the worst. The other three experiments were run at a higher spatial resolution, with the first differing only in that respect from the control, the second adding imposed a prescribed corrected <span class="hlt">precipitation</span> product, and the final experiment adding as well assimilation of aerosol optical depth based on MODIS observations. During Event C, the increased horizontal resolution could increase TDP with <span class="hlt">precipitation</span> increase. There was no significant improvement, however, due to the imposition of the corrected <span class="hlt">precipitation</span> product. The simulation that incorporated aerosol data assimilation performed was by far the best for this event, but even so could only reproduce less than half of the observed TDP despite the significantly increased atmospheric dust mass concentrations. All three of the high spatial resolution experiments had higher simulated <span class="hlt">precipitation</span> at Toyama than was observed and that in the lower resolution control run. During Event B, the aerosol data assimilation run did not perform appreciably better than the other higher resolution simulations, suggesting that upstream conditions (i.e., upstream cloudiness), or vertical or horizontal misplacement of the dust plume did not allow for significant</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A32E..01S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A32E..01S"><span>Detect signals of interdecadal climate variations from an enhanced suite of reconstructed <span class="hlt">precipitation</span> products since 1850 using the historical station data from <span class="hlt">Global</span> Historical Climatology Network and the dynamical patterns derived from <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shen, S. S.</p> <p>2015-12-01</p> <p>This presentation describes the detection of interdecadal climate signals in a newly reconstructed <span class="hlt">precipitation</span> data from 1850-present. Examples are on <span class="hlt">precipitation</span> signatures of East Asian Monsoon (EAM), Pacific Decadal Oscillation (PDO) and Atlantic Multidecadal Oscillations (AMO). The new reconstruction dataset is an enhanced edition of a suite of <span class="hlt">global</span> <span class="hlt">precipitation</span> products reconstructed by Spectral Optimal Gridding of <span class="hlt">Precipitation</span> Version 1.0 (SOGP 1.0). The maximum temporal coverage is 1850-present and the spatial coverage is quasi-<span class="hlt">global</span> (75S, 75N). This enhanced version has three different temporal resolutions (5-day, monthly, and annual) and two different spatial resolutions (2.5 deg and 5.0 deg). It also has a friendly Graphical User Interface (GUI). SOGP uses a multivariate regression method using an empirical orthogonal function (EOF) expansion. The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) <span class="hlt">precipitation</span> data from 1981-20010 are used to calculate the EOFs. The <span class="hlt">Global</span> Historical Climatology Network (GHCN) gridded data are used to calculate the regression coefficients for reconstructions. The sampling errors of the reconstruction are analyzed according to the number of EOF modes used in the reconstruction. Our reconstructed 1900-2011 time series of the <span class="hlt">global</span> average annual <span class="hlt">precipitation</span> shows a 0.024 (mm/day)/100a trend, which is very close to the trend derived from the mean of 25 models of the CMIP5 (Coupled Model Intercomparison Project Phase 5). Our reconstruction has been validated by GPCP data after 1979. Our reconstruction successfully displays the 1877 El Nino (see the attached figure), which is considered a validation before 1900. Our <span class="hlt">precipitation</span> products are publically available online, including digital data, <span class="hlt">precipitation</span> animations, computer codes, readme files, and the user manual. This work is a joint effort of San Diego State University (Sam Shen, Gregori Clarke, Christian Junjinger, Nancy Tafolla, Barbara Sperberg, and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080030214&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dclimatology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080030214&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dclimatology"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP): Results, Status and Future</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.</p> <p>2007-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) is one of a number of long-term, satellite-based, <span class="hlt">global</span> analyses routinely produced under the auspices of the World Climate Research Program (WCRP) and its <span class="hlt">Global</span> Energy and Watercycle EXperiment (GEWEX) program. The research quality analyses are produced a few months after real-time through the efforts of scientists at various national agencies and universities in the U.S., Europe and Japan. The primary product is a monthly analysis of surface <span class="hlt">precipitation</span> that is <span class="hlt">globally</span> complete and spans the period 1979-present. There are also pentad analyses for the same period and a daily analysis for the 1997-present period. Although generated with somewhat different data sets and analysis schemes, the pentad and daily data sets are forced to agree with the primary monthly analysis on a grid box by grid box basis. The primary input data sets are from low-orbit passive microwave observations, geostationary infrared observations and surface raingauge information. Examples of research with the data sets are discussed, focusing on tropical (25N-25s) rainfall variations and possible long-term changes in the 28-year (1979-2006) monthly dataset. Techniques are used to discriminate among the variations due to ENSO, volcanic events and possible long-term changes for rainfall over both land and ocean. The impact of the two major volcanic eruptions over the past 25 years is estimated to be about a 5% maximum reduction in tropical rainfall during each event. Although the <span class="hlt">global</span> change of <span class="hlt">precipitation</span> in the data set is near zero, a small upward linear change over tropical ocean (0.06 mm/day/l0yr) and a slight downward linear change over tropical land (-0.03 mm/day/l0yr) are examined to understand the impact of the inhomogeneity in the data record and the length of the data set. These positive changes correspond to about a 5% increase (ocean) and 3% increase (ocean plus land) during this time period. Relations between variations in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1998PhDT........43G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1998PhDT........43G"><span>Classification and <span class="hlt">global</span> distribution of ocean <span class="hlt">precipitation</span> types based on satellite passive microwave signatures</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gautam, Nitin</p> <p></p> <p>The main objectives of this thesis are to develop a robust statistical method for the classification of ocean <span class="hlt">precipitation</span> based on physical properties to which the SSM/I is sensitive and to examine how these properties vary <span class="hlt">globally</span> and seasonally. A two step approach is adopted for the classification of oceanic <span class="hlt">precipitation</span> classes from multispectral SSM/I data: (1)we subjectively define <span class="hlt">precipitation</span> classes using a priori information about the <span class="hlt">precipitating</span> system and its possible distinct signature on SSM/I data such as scattering by ice particles aloft in the <span class="hlt">precipitating</span> cloud, emission by liquid rain water below freezing level, the difference of polarization at 19 GHz-an indirect measure of optical depth, etc.; (2)we then develop an objective classification scheme which is found to reproduce the subjective classification with high accuracy. This hybrid strategy allows us to use the characteristics of the data to define and encode classes and helps retain the physical interpretation of classes. The classification methods based on k-nearest neighbor and neural network are developed to objectively classify six <span class="hlt">precipitation</span> classes. It is found that the classification method based neural network yields high accuracy for all <span class="hlt">precipitation</span> classes. An inversion method based on minimum variance approach was used to retrieve gross microphysical properties of these <span class="hlt">precipitation</span> classes such as column integrated liquid water path, column integrated ice water path, and column integrated min water path. This classification method is then applied to 2 years (1991-92) of SSM/I data to examine and document the seasonal and <span class="hlt">global</span> distribution of <span class="hlt">precipitation</span> frequency corresponding to each of these objectively defined six classes. The characteristics of the distribution are found to be consistent with assumptions used in defining these six <span class="hlt">precipitation</span> classes and also with well known climatological patterns of <span class="hlt">precipitation</span> regions. The seasonal and <span class="hlt">global</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUFMIN31B..05C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUFMIN31B..05C"><span>A Rapid Prototyping Look at <span class="hlt">NASA</span>'s Next Generation Earth-Observing Satellites; Opportunities for <span class="hlt">Global</span> Change Research and Applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cecil, L.; Young, D. F.; Parker, P. A.; Eckman, R. S.</p> <p>2006-12-01</p> <p>The <span class="hlt">NASA</span> Applied Sciences Program extends the results of Earth Science Division (ESD) research and knowledge beyond the scientific and research communities to contribute to national priority applications with societal benefits. The Applied Sciences Program focuses on, (1) assimilation of <span class="hlt">NASA</span> Earth-science research results and their associated uncertainties to improve decision support systems and, (2) the transition of <span class="hlt">NASA</span> research results to evolve improvements in future operational systems. The broad range of Earth- science research results that serve as inputs to the Applied Sciences Program are from <span class="hlt">NASA</span>'s Research and Analysis Program (R&A) within the ESD. The R&A Program has established six research focus areas to study the complex processes associated with Earth-system science; Atmospheric Composition, Carbon Cycle and Ecosystems, Climate Variability and Change, Earth Surface and Interior, Water and Energy Cycle, and Weather. Through observations-based Earth-science research results, <span class="hlt">NASA</span> and its partners are establishing predictive capabilities for future projections of natural and human perturbations on the planet. The focus of this presentation is on the use of research results and their associated uncertainties from several of <span class="hlt">NASA</span>'s nine next generation missions for societal benefit. The newly launched missions are, (1) CloudSat, and (2) CALIPSO (Cloud Aerosol Lidar and Infrared Pathfinder Satellite Observations), both launched April 28, 2006, and the planned next generation missions include, (3) the Orbiting Carbon Observatory (OCO), (4) the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM), (5) the Landsat Data Continuity Mission (LDCM), (6) Glory, for measuring the spatial and temporal distribution of aerosols and total solar irradiance for long-term climate records, (7) Aquarius, for measuring <span class="hlt">global</span> sea surface salinity, (8) the Ocean Surface Topography Mission (OSTM), and (9) the NPOESS Preparatory Project (NPP) for measuring long-term climate trends and <span class="hlt">global</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.H43I1590A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.H43I1590A"><span>33 Years of Near-<span class="hlt">Global</span> Daily <span class="hlt">Precipitation</span> from Multisatellite Observations and its Application to Drought Monitoring</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ashouri, H.; Hsu, K.; Sorooshian, S.; Braithwaite, D.; Knapp, K. R.; Cecil, L. D.</p> <p>2013-12-01</p> <p>PERSIANN Climate Data Record (PERSIANN-CDR) is a new retrospective satellite-based <span class="hlt">precipitation</span> data set that is constructed for long-term hydrological and climate studies. The PERSIANN-CDR is a near-<span class="hlt">global</span> (60°S-60°N) long-term (1980-2012), multi-satellite, high-resolution <span class="hlt">precipitation</span> product that provides rain rate estimates at 0.25° and daily spatiotemporal resolution. PERSIANN-CDR is aimed at addressing the need for a consistent, long-term, high resolution <span class="hlt">precipitation</span> data set for studying the spatial and temporal variations and changes of <span class="hlt">precipitation</span> patterns, particularly in a scale relevant to climate extremes at the <span class="hlt">global</span> scale. PERSIANN-CDR is generated from the PERSIANN algorithm using GridSat-B1 infrared data from the International Satellite Cloud Climatology Project (ISCCP). PERSIANN-CDR is adjusted using the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) monthly <span class="hlt">precipitation</span> to maintain consistency of two data sets at 2.5° monthly scale throughout the entire reconstruction period. PERSIANN-CDR daily <span class="hlt">precipitation</span> data demonstrates considerable consistency with both GPCP monthly and GPCP 1DD <span class="hlt">precipitation</span> products. Verification studies over Hurricane Katrina show that PERSIANN-CDR has a good agreement with NCEP Stage IV radar data, noting that PERSIANN-CDR has better spatial coverage. In addition, the Probability Density Function (PDF) of PERSIANN-CDR over the contiguous United States was compared with the PDFs extracted from CPC gauge data and the TMPA <span class="hlt">precipitation</span> product. The experiment also shows good agreement of the PDF of PERSIANN-CDR with the PDFs of TMPA and CPC gauge data. The application of PERSIANN-CDR in regional and <span class="hlt">global</span> drought monitoring is investigated. Consisting of more than three decades of high-resolution <span class="hlt">precipitation</span> data, PERSIANN-CDR makes us capable of long-term assessment of droughts at a higher resolution (0.25°) than previously possible. The results will be presented at the meeting.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020005414&hterms=european+union&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Deuropean%2Bunion','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020005414&hterms=european+union&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Deuropean%2Bunion"><span>Optimizing Orbit-Instrument Configuration for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) Satellite Fleet</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.; Adams, James; Baptista, Pedro; Haddad, Ziad; Iguchi, Toshio; Im, Eastwood; Kummerow, Christian; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p>Following the scientific success of the Tropical Rainfall Measuring Mission (TRMM) spearheaded by a group of <span class="hlt">NASA</span> and NASDA scientists, their external scientific collaborators, and additional investigators within the European Union's TRMM Research Program (EUROTRMM), there has been substantial progress towards the development of a new internationally organized, <span class="hlt">global</span> scale, and satellite-based <span class="hlt">precipitation</span> measuring mission. The highlights of this newly developing mission are a greatly expanded scope of measuring capability and a more diversified set of science objectives. The mission is called the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM). Notionally, GPM will be a constellation-type mission involving a fleet of nine satellites. In this fleet, one member is referred to as the "core" spacecraft flown in an approximately 70 degree inclined non-sun-synchronous orbit, somewhat similar to TRMM in that it carries both a multi-channel polarized passive microwave radiometer (PMW) and a radar system, but in this case it will be a dual frequency Ku-Ka band radar system enabling explicit measurements of microphysical DSD properties. The remainder of fleet members are eight orbit-synchronized, sun-synchronous "constellation" spacecraft each carrying some type of multi-channel PMW radiometer, enabling no worse than 3-hour diurnal sampling over the entire globe. In this configuration the "core" spacecraft serves as a high quality reference platform for training and calibrating the PMW rain retrieval algorithms used with the "constellation" radiometers. Within <span class="hlt">NASA</span>, GPM has advanced to the pre-formulation phase which has enabled the initiation of a set of science and technology studies which will help lead to the final mission design some time in the 2003 period. This presentation first provides an overview of the notional GPM program and mission design, including its organizational and programmatic concepts, scientific agenda, expected instrument package, and basic flight</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003EAEJA......533B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003EAEJA......533B"><span>Large-scale circulation patterns, instability factors and <span class="hlt">global</span> <span class="hlt">precipitation</span> modeling as influenced by external forcing</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Bundel, A.; Kulikova, I.; Kruglova, E.; Muravev, A.</p> <p>2003-04-01</p> <p>The scope of the study is to estimate the relationship between large-scale circulation regimes, various instability indices and <span class="hlt">global</span> <span class="hlt">precipitation</span> with different boundary conditions, considered as external forcing. The experiments were carried out in the ensemble-prediction framework of the dynamic-statistical monthly forecast scheme run in the Hydrometeorological Research Center of Russia every ten days. The extension to seasonal intervals makes it necessary to investigate the role of slowly changing boundary conditions among which the sea surface temperature (SST) may be defined as the most effective factor. Continuous integrations of the <span class="hlt">global</span> spectral T41L15 model for the whole year 2000 (starting from January 1) were performed with the climatic SST and the Reynolds Archive SSTs. Monthly values of the SST were projected on the year days using spline interpolation technique. First, the <span class="hlt">global</span> <span class="hlt">precipitation</span> values in experiments were compared to the GPCP (<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climate Program) daily observation data. Although the <span class="hlt">global</span> mean <span class="hlt">precipitation</span> is underestimated by the model, some large-scale regional amounts correspond to the real ones (e.g. for Europe) fairly well. On the whole, however, anomaly phases failed to be reproduced. The <span class="hlt">precipitation</span> averaged over the whole land revealed a greater sensitivity to the SSTs than that over the oceans. The wavelet analysis was applied to separate the low- and high-frequency signal of the SST influence on the large-scale circulation and <span class="hlt">precipitation</span>. A derivative of the Wallace-Gutzler teleconnection index for the East-Atlantic oscillation was taken as the circulation characteristic. The daily oscillation index values and <span class="hlt">precipitation</span> amounts averaged over Europe were decomposed using wavelet approach with different “mother wavelets” up to approximation level 3. It was demonstrated that an increase in the <span class="hlt">precipitation</span> amount over Europe was associated with the zonal flow intensification over the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AtmRe.176..121G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AtmRe.176..121G"><span>Early assessment of Integrated Multi-satellite Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement over China</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Guo, Hao; Chen, Sheng; Bao, Anming; Behrangi, Ali; Hong, Yang; Ndayisaba, Felix; Hu, Junjun; Stepanian, Phillip M.</p> <p>2016-07-01</p> <p>Two post-real time <span class="hlt">precipitation</span> products from the Integrated Multi-satellite Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission (IMERG) are systematically evaluated over China with China daily <span class="hlt">Precipitation</span> Analysis Product (CPAP) as reference. The IMERG products include the gauge-corrected IMERG product (IMERG_Cal) and the version of IMERG without direct gauge correction (IMERG_Uncal). The post-research TRMM Multisatellite <span class="hlt">Precipitation</span> Analysis version 7 (TMPA-3B42V7) is also evaluated concurrently with IMERG for better perspective. In order to be consistent with CPAP, the evaluation and comparison of selected products are performed at 0.25° and daily resolutions from 12 March 2014 through 28 February 2015. The results show that: Both IMERG and 3B42V7 show similar performances. Compared to IMERG_Uncal, IMERG_Cal shows significant improvement in overall and conditional bias and in the correlation coefficient. Both IMERG_Cal and IMERG_Uncal perform relatively poor in winter and over-detect slight <span class="hlt">precipitation</span> events in northwestern China. As an early validation of the GPM-era IMERG products that inherit the TRMM-era <span class="hlt">global</span> satellite <span class="hlt">precipitation</span> products, these findings will provide useful feedbacks and insights for algorithm developers and data users over China and beyond.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A33M..01O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A33M..01O"><span><span class="hlt">Precipitation</span> and Diabatic Heating Distributions from TRMM/GPM</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Olson, W. S.; Grecu, M.; Wu, D.; Tao, W. K.; L'Ecuyer, T.; Jiang, X.</p> <p>2016-12-01</p> <p>The initial focus of our research effort was the development of a physically-based methodology for estimating 3D <span class="hlt">precipitation</span> distributions from a combination of spaceborne radar and passive microwave radiometer observations. This estimation methodology was originally developed for applications to <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission sensor data, but it has recently been adapted to Tropical Rainfall Measuring Mission (TRMM) <span class="hlt">Precipitation</span> Radar and Microwave Imager observations. <span class="hlt">Precipitation</span> distributions derived from the TRMM sensors are interpreted using cloud-system resolving model simulations to infer atmospheric latent+eddy heating (Q1-QR) distributions in the tropics and subtropics. Further, the estimates of Q1-QR are combined with estimates of radiative heating (QR), derived from TRMM Microwave Imager and Visible and Infrared Scanner data as well as environmental properties from NCEP reanalyses, to yield estimates of the large-scale total diabatic heating (Q1). A thirteen-year database of <span class="hlt">precipitation</span> and diabatic heating is constructed using TRMM observations from 1998-2010 as part of <span class="hlt">NASA</span>'s Energy and Water cycle Study program. State-dependent errors in <span class="hlt">precipitation</span> and heating products are evaluated by propagating the potential errors of a priori modeling assumptions through the estimation method framework. Knowledge of these errors is critical for determining the "closure" of <span class="hlt">global</span> water and energy budgets. Applications of the <span class="hlt">precipitation</span>/heating products to climate studies will be presented at the conference.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950059276&hterms=information+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dinformation%2Banalysis','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950059276&hterms=information+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dinformation%2Banalysis"><span><span class="hlt">Global</span> <span class="hlt">precipitation</span> estimates based on a technique for combining satellite-based estimates, rain gauge analysis, and NWP model <span class="hlt">precipitation</span> information</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Rudolf, Bruno; Schneider, Udo; Keehn, Peter R.</p> <p>1995-01-01</p> <p>The 'satellite-gauge model' (SGM) technique is described for combining <span class="hlt">precipitation</span> estimates from microwave satellite data, infrared satellite data, rain gauge analyses, and numerical weather prediction models into improved estimates of <span class="hlt">global</span> <span class="hlt">precipitation</span>. Throughout, monthly estimates on a 2.5 degrees x 2.5 degrees lat-long grid are employed. First, a multisatellite product is developed using a combination of low-orbit microwave and geosynchronous-orbit infrared data in the latitude range 40 degrees N - 40 degrees S (the adjusted geosynchronous <span class="hlt">precipitation</span> index) and low-orbit microwave data alone at higher latitudes. Then the rain gauge analysis is brougth in, weighting each field by its inverse relative error variance to produce a nearly <span class="hlt">global</span>, observationally based <span class="hlt">precipitation</span> estimate. To produce a complete <span class="hlt">global</span> estimate, the numerical model results are used to fill data voids in the combined satellite-gauge estimate. Our sequential approach to combining estimates allows a user to select the multisatellite estimate, the satellite-gauge estimate, or the full SGM estimate (observationally based estimates plus the model information). The primary limitation in the method is imperfections in the estimation of relative error for the individual fields. The SGM results for one year of data (July 1987 to June 1988) show important differences from the individual estimates, including model estimates as well as climatological estimates. In general, the SGM results are drier in the subtropics than the model and climatological results, reflecting the relatively dry microwave estimates that dominate the SGM in oceanic regions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA18058.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA18058.html"><span><span class="hlt">NASA</span> Soil Moisture Mission Produces First <span class="hlt">Global</span> Radar Map</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2015-04-21</p> <p>With its antenna now spinning at full speed, <span class="hlt">NASA</span> new Soil Moisture Active Passive SMAP observatory has successfully re-tested its science instruments and generated its first <span class="hlt">global</span> maps, a key step to beginning routine science operations in May, 2015</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA18057.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA18057.html"><span><span class="hlt">NASA</span> Soil Moisture Mission Produces First <span class="hlt">Global</span> Radiometer Map</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2015-04-21</p> <p>With its antenna now spinning at full speed, <span class="hlt">NASA</span> new Soil Moisture Active Passive SMAP observatory has successfully re-tested its science instruments and generated its first <span class="hlt">global</span> maps, a key step to beginning routine science operations in May, 2015</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUSM.H43E..03M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUSM.H43E..03M"><span>Method and Early Results of Applying the <span class="hlt">Global</span> Land Data Assimilation System (GLDAS) in the Third <span class="hlt">Global</span> Reanalysis of NCEP</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Meng, J.; Mitchell, K.; Wei, H.; Yang, R.; Kumar, S.; Geiger, J.; Xie, P.</p> <p>2008-05-01</p> <p>Over the past several years, the Environmental Modeling Center (EMC) of the National Centers for Environmental Prediction (NCEP) of the U.S. National Weather Service has developed a <span class="hlt">Global</span> Land Data Assimilation System (GLDAS). For its computational infrastructure, the GLDAS applies the <span class="hlt">NASA</span> Land Information System (LIS), developed by the Hydrological Science Branch of <span class="hlt">NASA</span> Goddard Space Flight Center. The land model utilized in the NCEP GLDAS is the NCEP Noah Land Surface Model (Noah LSM). This presentation will 1) describe how the GLDAS component has been included in the development of NCEP's third <span class="hlt">global</span> reanalysis (with special attention to the input sources of <span class="hlt">global</span> <span class="hlt">precipitation</span>), and 2) will present results from the GLDAS component of pilot tests of the new NCEP <span class="hlt">global</span> reanalysis. Unlike NCEP's past two <span class="hlt">global</span> reanalysis projects, this new NCEP <span class="hlt">global</span> reanalysis includes both a <span class="hlt">global</span> land data assimilation system (GLDAS) and a <span class="hlt">global</span> ocean data assimilation system (GODAS). The new <span class="hlt">global</span> reanalysis will span 30-years (1979-2008) and will include a companion realtime operational component. The atmospheric, ocean, and land states of this <span class="hlt">global</span> reanalysis will provide the initial conditions for NCEP's 3rd- generation <span class="hlt">global</span> coupled Climate Forecast System (CFS). NCEP is now preparing to launch a 28-year seasonal reforecast project with its new CFS, to provide the reforecast foundation for operational NCEP seasonal climate forecasts using the new CFS. Together, the new <span class="hlt">global</span> reanalysis and companion CFS reforecasts constitute what NCEP calls the Climate Forecast System Reanalysis and Reforecast (CFSRR) project. Compared to the previous two generations of NCEP <span class="hlt">global</span> reanalysis, the hallmark of the GLDAS component of CFSRR is GLDAS use of <span class="hlt">global</span> analyses of observed <span class="hlt">precipitation</span> to drive the land surface component of the reanalysis (rather than the typical reanalysis approach of using <span class="hlt">precipitation</span> from the assimilating background atmospheric model</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMIN33B1799H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMIN33B1799H"><span>Approaches and Data Quality for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Estimation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Huffman, G. J.; Bolvin, D. T.; Nelkin, E. J.</p> <p>2015-12-01</p> <p>The space and time scales on which <span class="hlt">precipitation</span> varies are small compared to the satellite coverage that we have, so it is necessary to merge "all" of the available satellite estimates. Differing retrieval capabilities from the various satellites require inter-calibration for the satellite estimates, while "morphing", i.e., Lagrangian time interpolation, is used to lengthen the period over which time interpolation is valid. Additionally, estimates from geostationary-Earth-orbit infrared data are plentiful, but of sufficiently lower quality compared to low-Earth-orbit passive microwave estimates that they are only used when needed. Finally, monthly surface <span class="hlt">precipitation</span> gauge data can be used to reduce bias and improve patterns of occurrence for monthly satellite data, and short-interval satellite estimates can be improved with a simple scaling such that they sum to the monthly satellite-gauge combination. The presentation will briefly consider some of the design decisions for practical computation of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission product Integrated Multi-satellitE Retrievals for GPM (IMERG), then examine design choices that maximize value for end users. For example, data fields are provided in the output file that provide insight into the basis for the estimated <span class="hlt">precipitation</span>, including error, sensor providing the estimate, <span class="hlt">precipitation</span> phase (solid/liquid), and intermediate <span class="hlt">precipitation</span> estimates. Another important initiative is successive computations for the same data date/time at longer latencies as additional data are received, which for IMERG is currently done at 6 hours, 16 hours, and 3 months after observation time. Importantly, users require long records for each latency, which runs counter to the data archiving practices at most archive sites. As well, the assignment of Digital Object Identifiers (DOI's) for near-real-time data sets (at 6 and 16 hours for IMERG) is not a settled issue.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120008365','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120008365"><span><span class="hlt">Global</span> Distribution of Extreme <span class="hlt">Precipitation</span> and High-Impact Landslides in 2010 Relative to Previous Years</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kirschbaum, Dalia; Adler, Robert; Adler, David; Peters-Lidard, Christa; Huffman, George</p> <p>2012-01-01</p> <p>It is well known that extreme or prolonged rainfall is the dominant trigger of landslides worldwide. While research has evaluated the spatiotemporal distribution of extreme rainfall and landslides at local or regional scales using in situ data, few studies have mapped rainfall-triggered landslide distribution <span class="hlt">globally</span> due to the dearth of landslide data and consistent <span class="hlt">precipitation</span> information. This study uses a newly developed <span class="hlt">Global</span> Landslide Catalog (GLC) and a 13-year satellite-based <span class="hlt">precipitation</span> record from TRMM data. For the first time, these two unique products provide the foundation to quantitatively evaluate the co-occurrence of <span class="hlt">precipitation</span> and landslides <span class="hlt">globally</span>. Evaluation of the GLC indicates that 2010 had a large number of high-impact landslide events relative to previous years. This study considers how variations in extreme and prolonged satellite-based rainfall are related to the distribution of landslides over the same time scales for three active landslide areas: Central America, the Himalayan Arc, and central-eastern China. Several test statistics confirm that TRMM rainfall generally scales with the observed increase in landslide reports and fatal events for 2010 and previous years over each region. These findings suggest that the co-occurrence of satellite <span class="hlt">precipitation</span> and landslide reports may serve as a valuable indicator for characterizing the spatiotemporal distribution of landslide-prone areas in order to establish a <span class="hlt">global</span> rainfall-triggered landslide climatology. This study characterizes the variability of satellite <span class="hlt">precipitation</span> data and reported landslide activity at the <span class="hlt">globally</span> scale in order to improve landslide cataloging, forecasting and quantify potential triggering sources at daily, monthly and yearly time scales.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H13R..02K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H13R..02K"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission contributions to hydrology and societal applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kirschbaum, D.; Huffman, G. J.; Skofronick Jackson, G.</p> <p>2016-12-01</p> <p>Too much or too little rain can serve as a tipping point for triggering catastrophic flooding and landslides or widespread drought. Knowing when, where and how much rain is falling <span class="hlt">globally</span> is vital to understanding how vulnerable areas may be more or less impacted by these disasters. The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission provides near real-time <span class="hlt">precipitation</span> data worldwide that is used by a broad range of end users, from tropical cyclone forecasters to agricultural modelers to researchers evaluating the spread of diseases. The GPM constellation provides merged, multi-satellite data products at three latencies that are critical for research and societal applications around the world. This presentation will outline current capabilities in using accurate and timely information of <span class="hlt">precipitation</span> to directly benefit society, including examples of end user applications within the tropical cyclone forecasting, disasters response, agricultural forecasting, and disease tracking communities, among others. The presentation will also introduce some of the new visualization and access tools developed by the GPM team.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_12");'>12</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li class="active"><span>14</span></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_14 --> <div id="page_15" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="281"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ThApC.tmp...46C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ThApC.tmp...46C"><span>Performance of near real-time <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> estimates during heavy <span class="hlt">precipitation</span> events over northern China</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chen, Sheng; Hu, Junjun; Zhang, Asi; Min, Chao; Huang, Chaoying; Liang, Zhenqing</p> <p>2018-02-01</p> <p>This study assesses the performance of near real-time <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> (GSMaP_NRT) estimates over northern China, including Beijing and its adjacent regions, during three heavy <span class="hlt">precipitation</span> events from 21 July 2012 to 2 August 2012. Two additional near real-time satellite-based products, the Climate Prediction Center morphing method (CMORPH) and <span class="hlt">Precipitation</span> Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System (PERSIANN-CCS), were used for parallel comparison with GSMaP_NRT. Gridded gauge observations were used as reference for a performance evaluation with respect to spatiotemporal variability, probability distribution of <span class="hlt">precipitation</span> rate and volume, and contingency scores. Overall, GSMaP_NRT generally captures the spatiotemporal variability of <span class="hlt">precipitation</span> and shows promising potential in near real-time mapping applications. GSMaP_NRT misplaced storm centers in all three storms. GSMaP_NRT demonstrated higher skill scores in the first high-impact storm event on 21 July 2015. GSMaP_NRT passive microwave only <span class="hlt">precipitation</span> can generally capture the pattern of heavy <span class="hlt">precipitation</span> distributions over flat areas but failed to capture the intensive rain belt over complicated mountainous terrain. The results of this study can be useful to both algorithm developers and the scientific end users, providing a better understanding of strengths and weaknesses to hydrologists using satellite <span class="hlt">precipitation</span> products.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27063141','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27063141"><span><span class="hlt">Global</span> monsoon <span class="hlt">precipitation</span> responses to large volcanic eruptions.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Liu, Fei; Chai, Jing; Wang, Bin; Liu, Jian; Zhang, Xiao; Wang, Zhiyuan</p> <p>2016-04-11</p> <p>Climate variation of <span class="hlt">global</span> monsoon (GM) <span class="hlt">precipitation</span> involves both internal feedback and external forcing. Here, we focus on strong volcanic forcing since large eruptions are known to be a dominant mechanism in natural climate change. It is not known whether large volcanoes erupted at different latitudes have distinctive effects on the monsoon in the Northern Hemisphere (NH) and the Southern Hemisphere (SH). We address this issue using a 1500-year volcanic sensitivity simulation by the Community Earth System Model version 1.0 (CESM1). Volcanoes are classified into three types based on their meridional aerosol distributions: NH volcanoes, SH volcanoes and equatorial volcanoes. Using the model simulation, we discover that the GM <span class="hlt">precipitation</span> in one hemisphere is enhanced significantly by the remote volcanic forcing occurring in the other hemisphere. This remote volcanic forcing-induced intensification is mainly through circulation change rather than moisture content change. In addition, the NH volcanic eruptions are more efficient in reducing the NH monsoon <span class="hlt">precipitation</span> than the equatorial ones, and so do the SH eruptions in weakening the SH monsoon, because the equatorial eruptions, despite reducing moisture content, have weaker effects in weakening the off-equatorial monsoon circulation than the subtropical-extratropical volcanoes do.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120009839','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120009839"><span>Integrated Modeling of Aerosol, Cloud, <span class="hlt">Precipitation</span> and Land Processes at Satellite-Resolved Scales</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Peters-Lidard, Christa; Tao, Wei-Kuo; Chin, Mian; Braun, Scott; Case, Jonathan; Hou, Arthur; Kumar, Anil; Kumar, Sujay; Lau, William; Matsui, Toshihisa; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20120009839'); toggleEditAbsImage('author_20120009839_show'); toggleEditAbsImage('author_20120009839_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20120009839_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20120009839_hide"></p> <p>2012-01-01</p> <p>In this talk, I will present recent results from a project led at <span class="hlt">NASA</span>/GSFC, in collaboration with <span class="hlt">NASA</span>/MSFC and JHU, focused on the development and application of an observation-driven integrated modeling system that represents aerosol, cloud, <span class="hlt">precipitation</span> and land processes at satellite-resolved scales. The project, known as the <span class="hlt">NASA</span> Unified WRF (NU-WRF), is funded by <span class="hlt">NASA</span>'s Modeling and Analysis Program, and leverages prior investments from the Air Force Weather Agency and <span class="hlt">NASA</span>'s Earth Science Technology Office (ESTO). We define "satellite-resolved" scales as being within a typical mesoscale atmospheric modeling grid (roughly 1-25 km), although this work is designed to bridge the continuum between local (microscale), regional (mesoscale) and <span class="hlt">global</span> (synoptic) processes. NU-WRF is a superset of the standard NCAR Advanced Research WRF model, achieved by fully integrating the GSFC Land Information System (LIS, already coupled to WRF), the WRF/Chem enabled version of the Goddard Chemistry Aerosols Radiation Transport (GOCART) model, the Goddard Satellite Data Simulation Unit (SDSU), and boundary/initial condition preprocessors for MERRA and GEOS-5 into a single software release (with source code available by agreement with <span class="hlt">NASA</span>/GSFC). I will show examples where the full coupling between aerosol, cloud, <span class="hlt">precipitation</span> and land processes is critical for predicting local, regional, and <span class="hlt">global</span> water and energy cycles, including some high-impact phenomena such as floods, hurricanes, mesoscale convective systems, droughts, and monsoons.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001184.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001184.html"><span>GPM Launch Day at <span class="hlt">NASA</span> Goddard (Feb. 27, 2014)</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-02-27</p> <p>Children at the visitor center at <span class="hlt">NASA</span>'s Goddard Space Flight Center in Greenbelt, Md., receive a rainfall demonstration as part of activities tied to the launch of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission's Core Observatory on Feb. 27, 2014. Credit: <span class="hlt">NASA</span>'s Goddard Space Flight Center/Debbie McCallum GPM's Core Observatory is poised for launch from the Japan Aerospace Exploration Agency's Tanegashima Space Center, scheduled for the afternoon of Feb. 27, 2014 (EST). GPM is a joint venture between <span class="hlt">NASA</span> and the Japan Aerospace Exploration Agency. The GPM Core Observatory will link data from a constellation of current and planned satellites to produce next-generation <span class="hlt">global</span> measurements of rainfall and snowfall from space. The GPM mission is the first coordinated international satellite network to provide near real-time observations of rain and snow every three hours anywhere on the globe. The GPM Core Observatory anchors this network by providing observations on all types of <span class="hlt">precipitation</span>. The observatory's data acts as the measuring stick by which partner observations can be combined into a unified data set. The data will be used by scientists to study climate change, freshwater resources, floods and droughts, and hurricane formation and tracking. <span class="hlt">NASA</span> image use policy. <span class="hlt">NASA</span> Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040000743&hterms=relationships&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D70%26Ntt%3Drelationships','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040000743&hterms=relationships&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DTitle%26N%3D0%26No%3D70%26Ntt%3Drelationships"><span>Macroscopic Relationships Among Latent Heating, <span class="hlt">Precipitation</span>, Organized Convection, and the Environment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Moncrieff, Mitchell</p> <p>2003-01-01</p> <p>The two studies summarized below represent the results of a one-year extension to the original award grant. These studies involve cloud-resolving simulation, theory and parameterization of multi-scale convective systems in the Tropics. It is a contribution to the basic scientific objectives of TRMM and the prospective <span class="hlt">NASA</span> <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.A51C0068A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.A51C0068A"><span>Atmospheric energy and water balance perspective to projection of <span class="hlt">global</span>-scale <span class="hlt">precipitation</span> increase: may mitigation policies unexpectedly amplify <span class="hlt">precipitation</span>?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Alessandri, A.; Fogli, P.; Vichi, M.; Zeng, N.</p> <p>2012-12-01</p> <p>Future climate scenarios experiencing <span class="hlt">global</span> warming are expected to strengthen hydrological cycle during 21st century by comparison with the last decades of 20th century. From the perspective of changes in whole atmospheric water and energy budgets, we analyze strengthening of the hydrological cycle as measured by the increase in <span class="hlt">global</span>-scale <span class="hlt">precipitation</span>. Furthermore, by combining energy and water equations for the whole atmosphere we profitably obtain constraints for the changes in surface fluxes and for the partitioning at the surface between sensible and latent components. Above approach is applied to investigate difference in <span class="hlt">precipitation</span> increase in two scenario centennial simulations performed with an Earth System model forced with specified atmospheric concentration pathways. Alongside medium-high non-mitigation scenario (baseline), we considered an aggressive-mitigation scenario (E1) with reduced fossil fuel use for energy production aimed at stabilizing <span class="hlt">global</span> warming below 2K. Quite unexpectedly, mitigation scenario is shown to strengthen hydrological cycle more than baseline till around 2070, that is a couple of decades after that mitigation of <span class="hlt">global</span> temperature was already well established in E1. Our analysis shows that this is mostly a consequence of the larger increase in the negative radiative imbalance of atmosphere in E1 compared to baseline. This appears to be primarily related to the abated aerosol concentration in E1, which considerably reduces atmospheric absorption of solar radiation compared to baseline. In contrast, last decades of 21st century (21C) show marked increase of <span class="hlt">global</span> <span class="hlt">precipitation</span> in baseline compared to E1, despite the fact that the two scenarios display almost same overall increase of radiative imbalance with respect to 20th century. Our results show that radiative cooling is weakly effective in baseline throughout all 21C, so that two distinct mechanisms characterize the diverse strengthening of hydrological cycle in</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMIN43C1740R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMIN43C1740R"><span>A New Method for Near Real Time <span class="hlt">Precipitation</span> Estimates Using a Derived Statistical Relationship between <span class="hlt">Precipitable</span> Water Vapor and <span class="hlt">Precipitation</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Roman, J.</p> <p>2015-12-01</p> <p>The IPCC 5th Assessment found that the predicted warming of 1oC would increase the risk of extreme events such as heat waves, droughts, and floods. Weather extremes, like floods, have shown the vulnerability and susceptibility society has to these extreme weather events, through impacts such as disruption of food production, water supply, health, and damage of infrastructure. This paper examines a new way of near-real time forecasting of <span class="hlt">precipitation</span>. A 10-year statistical climatological relationship was derived between <span class="hlt">precipitable</span> water vapor (PWV) and <span class="hlt">precipitation</span> by using the <span class="hlt">NASA</span> Atmospheric Infrared Sounder daily gridded PWV product and the <span class="hlt">NASA</span> Tropical Rainfall Measuring Mission daily gridded <span class="hlt">precipitation</span> total. Forecasting <span class="hlt">precipitation</span> estimates in real time is dire for flood monitoring and disaster management. Near real time PWV observations from AIRS on Aqua are available through the Goddard Earth Sciences Data and Information Service Center. In addition, PWV observations are available through direct broadcast from the <span class="hlt">NASA</span> Suomi-NPP ATMS/CrIS instrument, the operational follow on to AIRS. The derived climatological relationship can be applied to create <span class="hlt">precipitation</span> estimates in near real time by utilizing the direct broadcasting capabilities currently available in the CONUS region. The application of this relationship will be characterized through case-studies by using near real-time <span class="hlt">NASA</span> AIRS Science Team v6 PWV products and ground-based SuomiNet GPS to estimate the current <span class="hlt">precipitation</span> potential; the max amount of <span class="hlt">precipitation</span> that can occur based on the moisture availability. Furthermore, the potential contribution of using the direct broadcasting of the NUCAPS ATMS/CrIS PWV products will be demonstrated. The analysis will highlight the advantages of applying this relationship in near-real time for flash flood monitoring and risk management. Relevance to the NWS River Forecast Centers will be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040081404&hterms=pathways&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dpathways','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040081404&hterms=pathways&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dpathways"><span>Exploring New Pathways in <span class="hlt">Precipitation</span> Assimilation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur; Zhang, Sara Q.</p> <p>2004-01-01</p> <p><span class="hlt">Precipitation</span> assimilation poses a special challenge in that the forward model for rain in a <span class="hlt">global</span> forecast system is based on parameterized physics, which can have large systematic errors that must be rectified to use <span class="hlt">precipitation</span> data effectively within a standard statistical analysis framework. We examine some key issues in <span class="hlt">precipitation</span> assimilation and describe several exploratory studies in assimilating rainfall and latent heating information in <span class="hlt">NASA</span>'s <span class="hlt">global</span> data assimilation systems using the forecast model as a weak constraint. We present results from two research activities. The first is the assimilation of surface rainfall data using a time-continuous variational assimilation based on a column model of the full moist physics. The second is the assimilation of convective and stratiform latent heating retrievals from microwave sensors using a variational technique with physical parameters in the moist physics schemes as a control variable. We will show the impact of assimilating these data on analyses and forecasts. Among the lessons learned are (1) that the time-continuous application of moisture/temperature tendency corrections to mitigate model deficiencies offers an effective strategy for assimilating <span class="hlt">precipitation</span> information, and (2) that the model prognostic variables must be allowed to directly respond to an improved rain and latent heating field within an analysis cycle to reap the full benefit of assimilating <span class="hlt">precipitation</span> information. of microwave radiances versus retrieval information in raining areas, and initial efforts in developing ensemble techniques such as Kalman filter/smoother for <span class="hlt">precipitation</span> assimilation. Looking to the future, we discuss new research directions including the assimilation</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMPA23B0374N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMPA23B0374N"><span>A review of the PERSIANN family <span class="hlt">global</span> satellite <span class="hlt">precipitation</span> data products</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nguyen, P.; Ombadi, M.; Ashouri, H.; Thorstensen, A.; Hsu, K. L.; Braithwaite, D.; Sorooshian, S.; William, L.</p> <p>2017-12-01</p> <p><span class="hlt">Precipitation</span> is an integral part of the hydrologic cycle and plays an important role in the water and energy balance of the Earth. Careful and consistent observation of <span class="hlt">precipitation</span> is important for several reasons. Over the last two decades, the PERSIANN system of <span class="hlt">precipitation</span> products have been developed at the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California, Irvine in collaboration with <span class="hlt">NASA</span>, NOAA and the UNESCO G-WADI program. The PERSIANN family includes three main satellite-based <span class="hlt">precipitation</span> estimation products namely PERSIANN, PERSIANN-CCS, and PERSIANN-CDR. They are accessible through several web-based interfaces maintained by CHRS to serve the needs of researchers, professionals and general public. These interfaces are CHRS iRain, Data Portal and RainSphere, which can be accessed at http://irain.eng.uci.edu, http://chrsdata.eng.uci.edu, and http://rainsphere.eng.uci.edu respectively and can be used for visualization, analysis or download of the data. The main objective of this presentation is to provide a concise and clear summary of the similarities and differences between the three products in terms of attributes and algorithm structure. Moreover, the presentation aims to provide an evaluation of the performance of the products over the Contiguous United States (CONUS) using Climate Prediction Center (CPC) <span class="hlt">precipitation</span> dataset as a baseline of comparison. Also, an assessment of the behavior of PERSIANN family products over the globe (60°S - 60°N) is performed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150007688','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150007688"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission: <span class="hlt">Precipitation</span> Processing System (PPS) GPM Mission Gridded Text Products Provide Surface <span class="hlt">Precipitation</span> Retrievals</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stocker, Erich Franz; Kelley, O.; Kummerow, C.; Huffman, G.; Olson, W.; Kwiatkowski, J.</p> <p>2015-01-01</p> <p>In February 2015, the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission core satellite will complete its first year in space. The core satellite carries a conically scanning microwave imager called the GPM Microwave Imager (GMI), which also has 166 GHz and 183 GHz frequency channels. The GPM core satellite also carries a dual frequency radar (DPR) which operates at Ku frequency, similar to the Tropical Rainfall Measuring Mission (TRMM) <span class="hlt">Precipitation</span> Radar, and a new Ka frequency. The <span class="hlt">precipitation</span> processing system (PPS) is producing swath-based instantaneous <span class="hlt">precipitation</span> retrievals from GMI, both radars including a dual-frequency product, and a combined GMIDPR <span class="hlt">precipitation</span> retrieval. These level 2 products are written in the HDF5 format and have many additional parameters beyond surface <span class="hlt">precipitation</span> that are organized into appropriate groups. While these retrieval algorithms were developed prior to launch and are not optimal, these algorithms are producing very creditable retrievals. It is appropriate for a wide group of users to have access to the GPM retrievals. However, for researchers requiring only surface <span class="hlt">precipitation</span>, these L2 swath products can appear to be very intimidating and they certainly do contain many more variables than the average researcher needs. Some researchers desire only surface retrievals stored in a simple easily accessible format. In response, PPS has begun to produce gridded text based products that contain just the most widely used variables for each instrument (surface rainfall rate, fraction liquid, fraction convective) in a single line for each grid box that contains one or more observations.This paper will describe the gridded data products that are being produced and provide an overview of their content. Currently two types of gridded products are being produced: (1) surface <span class="hlt">precipitation</span> retrievals from the core satellite instruments GMI, DPR, and combined GMIDPR (2) surface <span class="hlt">precipitation</span> retrievals for the partner constellation</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003728','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003728"><span>Statistical Properties of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> in the NCEP GFS Model and TMPA Observations for Data Assimilation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lien, Guo-Yuan; Kalnay, Eugenia; Miyoshi, Takemasa; Huffman, George J.</p> <p>2016-01-01</p> <p>Assimilation of satellite <span class="hlt">precipitation</span> data into numerical models presents several difficulties, with two of the most important being the non-Gaussian error distributions associated with <span class="hlt">precipitation</span>, and large model and observation errors. As a result, improving the model forecast beyond a few hours by assimilating <span class="hlt">precipitation</span> has been found to be difficult. To identify the challenges and propose practical solutions to assimilation of <span class="hlt">precipitation</span>, statistics are calculated for <span class="hlt">global</span> <span class="hlt">precipitation</span> in a low-resolution NCEP <span class="hlt">Global</span> Forecast System (GFS) model and the TRMM Multisatellite <span class="hlt">Precipitation</span> Analysis (TMPA). The samples are constructed using the same model with the same forecast period, observation variables, and resolution as in the follow-on GFSTMPA <span class="hlt">precipitation</span> assimilation experiments presented in the companion paper.The statistical results indicate that the T62 and T126 GFS models generally have positive bias in <span class="hlt">precipitation</span> compared to the TMPA observations, and that the simulation of the marine stratocumulus <span class="hlt">precipitation</span> is not realistic in the T62 GFS model. It is necessary to apply to <span class="hlt">precipitation</span> either the commonly used logarithm transformation or the newly proposed Gaussian transformation to obtain a better relationship between the model and observational <span class="hlt">precipitation</span>. When the Gaussian transformations are separately applied to the model and observational <span class="hlt">precipitation</span>, they serve as a bias correction that corrects the amplitude-dependent biases. In addition, using a spatially andor temporally averaged <span class="hlt">precipitation</span> variable, such as the 6-h accumulated <span class="hlt">precipitation</span>, should be advantageous for <span class="hlt">precipitation</span> assimilation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170007418','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170007418"><span>Meteorological Observations and System Performance From the <span class="hlt">NASA</span> D3R's First 5 Years</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chandrasekar, V.; Beauchamp, Robert M.; Vega, Manuel; Chen, Haonan; Kumar, Mohit; Joshil, Shashank; Schwaller, Mathew; Petersen, Walter; Wolff, David</p> <p>2017-01-01</p> <p>The <span class="hlt">NASA</span> dual-frequency, dual-polarization, Doppler radar (D3R) was conceived and developed to support ground validation (GV) operations of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission. The D3R operates in the same frequencies bands, Ku- and Ka-band, as GPMs dual-frequency <span class="hlt">precipitation</span> radar enabling direct comparisons of microphysical observations of <span class="hlt">precipitation</span>. To support the GPM GVmission, D3R substantively participated in four field campaigns in North America with diverse geographic features covering both winter and summer conditions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160008957','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160008957"><span>Performance of the Falling Snow Retrieval Algorithms for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Skofronick-Jackson, Gail; Munchak, Stephen J.; Ringerud, Sarah</p> <p>2016-01-01</p> <p>Retrievals of falling snow from space represent an important data set for understanding the Earth's atmospheric, hydrological, and energy cycles, especially during climate change. Estimates of falling snow must be captured to obtain the true <span class="hlt">global</span> <span class="hlt">precipitation</span> water cycle, snowfall accumulations are required for hydrological studies, and without knowledge of the frozen particles in clouds one cannot adequately understand the energy and radiation budgets. While satellite-based remote sensing provides <span class="hlt">global</span> coverage of falling snow events, the science is relatively new and retrievals are still undergoing development with challenges remaining). This work reports on the development and testing of retrieval algorithms for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission Core Satellite, launched February 2014.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950036024&hterms=xie&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CLT%2B20031231%26N%3D0%26No%3D40%26Ntt%3Dxie','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950036024&hterms=xie&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CLT%2B20031231%26N%3D0%26No%3D40%26Ntt%3Dxie"><span>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project: First Algorithm Intercomparison Project</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Arkin, Phillip A.; Xie, Pingping</p> <p>1994-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) was established by the World Climate Research Program to produce <span class="hlt">global</span> analyses of the area- and time-averaged <span class="hlt">precipitation</span> for use in climate research. To achieve the required spatial coverage, the GPCP uses simple rainfall estimates derived from IR and microwave satellite observations. In this paper, we describe the GPCP and its first Algorithm Intercomparison Project (AIP/1), which compared a variety of rainfall estimates derived from Geostationary Meteorological Satellite visible and IR observations and Special Sensor Microwave/Imager (SSM/I) microwave observations with rainfall derived from a combination of radar and raingage data over the Japanese islands and the adjacent ocean regions during the June and mid-July through mid-August periods of 1989. To investigate potential improvements in the use of satellite IR data for the estimation of large-scale rainfall for the GPCP, the relationship between rainfall and the fractional coverage of cold clouds in the AIP/1 dataset is examined. Linear regressions between fractional coverage and rainfall are analyzed for a number of latitude-longitude areas and for a range of averaging times. The results show distinct differences in the character of the relationship for different portions of the area. These results suggest that the simple IR-based estimation technique currently used in the GPCP can be used to estimate rainfall for <span class="hlt">global</span> tropical and subtropical areas, provided that a method for adjusting the proportional coefficient for varying areas and seasons can be determined.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160005215&hterms=eastern+western&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26Nf%3DPublication-Date%257CBTWN%2B20070101%2B20180604%26N%3D0%26No%3D60%26Ntt%3Deastern%2Bwestern','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160005215&hterms=eastern+western&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26Nf%3DPublication-Date%257CBTWN%2B20070101%2B20180604%26N%3D0%26No%3D60%26Ntt%3Deastern%2Bwestern"><span>Evaluation of <span class="hlt">NASA</span>'s MERRA <span class="hlt">Precipitation</span> Product in Reproducing the Observed Trend and Distribution of Extreme <span class="hlt">Precipitation</span> Events in the United States</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ashouri, Hamed; Sorooshian, Soroosh; Hsu, Kuo-Lin; Bosilovich, Michael G.; Lee, Jaechoul; Wehner, Michael F.; Collow, Allison</p> <p>2016-01-01</p> <p>This study evaluates the performance of <span class="hlt">NASA</span>'s Modern-Era Retrospective Analysis for Research and Applications (MERRA) <span class="hlt">precipitation</span> product in reproducing the trend and distribution of extreme <span class="hlt">precipitation</span> events. Utilizing the extreme value theory, time-invariant and time-variant extreme value distributions are developed to model the trends and changes in the patterns of extreme <span class="hlt">precipitation</span> events over the contiguous United States during 1979-2010. The Climate Prediction Center (CPC) U.S.Unified gridded observation data are used as the observational dataset. The CPC analysis shows that the eastern and western parts of the United States are experiencing positive and negative trends in annual maxima, respectively. The continental-scale patterns of change found in MERRA seem to reasonably mirror the observed patterns of change found in CPC. This is not previously expected, given the difficulty in constraining <span class="hlt">precipitation</span> in reanalysis products. MERRA tends to overestimate the frequency at which the 99th percentile of <span class="hlt">precipitation</span> is exceeded because this threshold tends to be lower in MERRA, making it easier to be exceeded. This feature is dominant during the summer months. MERRA tends to reproduce spatial patterns of the scale and location parameters of the generalized extreme value and generalized Pareto distributions. However, MERRA underestimates these parameters, particularly over the Gulf Coast states, leading to lower magnitudes in extreme <span class="hlt">precipitation</span> events. Two issues in MERRA are identified: 1) MERRA shows a spurious negative trend in Nebraska and Kansas, which is most likely related to the changes in the satellite observing system over time that has apparently affected the water cycle in the central United States, and 2) the patterns of positive trend over the Gulf Coast states and along the East Coast seem to be correlated with the tropical cyclones in these regions. The analysis of the trends in the seasonal <span class="hlt">precipitation</span> extremes indicates that</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..12213308H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..12213308H"><span><span class="hlt">Global</span> Analysis of Ecosystem Evapotranspiration Response to <span class="hlt">Precipitation</span> Deficits</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>He, Bin; Wang, Haiyan; Guo, Lanlan; Liu, Junjie</p> <p>2017-12-01</p> <p>Changes in ecosystem evapotranspiration (ET) due to <span class="hlt">precipitation</span> deficits (PD) can relieve or aggravate soil moisture shortages, thus impacting drought severity. Previous findings have conflicted with regard to response of ET to PD. The present study relies on a <span class="hlt">global</span> land ET synthesis data set (ETsyn) and observations from eddy-covariance towers (ETobs) to thoroughly examine the sensitivity of ET to PD, which is represented by the standardized <span class="hlt">precipitation</span> index. There was a contrast in the response to PD between arid and humid ecosystems. ETsyn of arid ecosystems was typically reduced promptly in response to a reduction of <span class="hlt">precipitation</span>, while ETsyn in humid ecosystems experienced a two-staged change: First, there was an enhancement, and then a reduction associated with persisting PD. Compared with ETsyn, ETobs suggests the occurrence of a more significant ET transition in response to PD. In arid ecosystems, ET typically negatively correlated with low PD, but this was limited by a large PD. Findings from this study are crucial for understanding the role of ET in drought evolution.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.H43B1244B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.H43B1244B"><span>On the fall 2010 Enhancements of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre's Data Sets</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Becker, A. W.; Schneider, U.; Meyer-Christoffer, A.; Ziese, M.; Finger, P.; Rudolf, B.</p> <p>2010-12-01</p> <p><span class="hlt">Precipitation</span> is meanwhile a top listed parameter on the WMO GCOS list of 44 essential climate variables (ECV). This is easily justified by its crucial role to sustain any form of life on earth as major source of fresh water, its major impact on weather, climate, climate change and related issues of society’s adaption to the latter. Finally its occurrence is highly variable in space and time thus bearing the potential to trigger major flood and draught related disasters. Since its start in 1989 the <span class="hlt">Global</span> <span class="hlt">precipitation</span> Climatology Centre (GPCC) performs <span class="hlt">global</span> analyses of monthly <span class="hlt">precipitation</span> for the earth’s land-surface on the basis of in-situ measurements. The effort was inaugurated as part of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project of the WMO World Climate Research Program (WCRP). Meanwhile, the data set has continuously grown both in temporal coverage (original start of the evaluation period was 1986), as well as extent and quality of the underlying data base. The number of stations involved in the related data base has approximately doubled in the past 8 years by trespassing the 40, 60 and 80k thresholds in 2002, 2006 and 2010. Core data source of the GPCC analyses are the data from station networks operated by the National Meteorological Services worldwide; data deliveries have been received from ca. 190 countries. The GPCC integrates also other <span class="hlt">global</span> <span class="hlt">precipitation</span> data collections (i.e. FAO, CRU and GHCN), as well as regional data sets. Currently the Africa data set from S. Nicholson (Univ. Tallahassee) is integrated. As a result of these efforts the GPCC holds the worldwide largest and most comprehensive collection of <span class="hlt">precipitation</span> data, which is continuously updated and extended. Due to the high spatial-temporal variability of <span class="hlt">precipitation</span>, even its <span class="hlt">global</span> analysis requires this high number of stations to provide for a sufficient density of measurement data on almost any place on the globe. The acquired data sets are pre-checked, reformatted</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JHyd..559....1M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JHyd..559....1M"><span>Assessment of <span class="hlt">global</span> <span class="hlt">precipitation</span> measurement satellite products over Saudi Arabia</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mahmoud, Mohammed T.; Al-Zahrani, Muhammad A.; Sharif, Hatim O.</p> <p>2018-04-01</p> <p>Most hydrological analysis and modeling studies require reliable and accurate <span class="hlt">precipitation</span> data for successful simulations. However, <span class="hlt">precipitation</span> measurements should be more representative of the true <span class="hlt">precipitation</span> distribution. Many approaches and techniques are used to collect <span class="hlt">precipitation</span> data. Recently, hydrometeorological and climatological applications of satellite <span class="hlt">precipitation</span> products have experienced a significant improvement with the emergence of the latest satellite products, namely, the Integrated Multi-satellitE Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission (IMERG) products, which can be utilized to estimate and analyze <span class="hlt">precipitation</span> data. This study focuses on the validation of the IMERG early, late and final run rainfall products using ground-based rain gauge observations throughout Saudi Arabia for the period from October 2015 to April 2016. The accuracy of each IMERG product is assessed using six statistical performance measures to conduct three main evaluations, namely, regional, event-based and station-based evaluations. The results indicate that the early run product performed well in the middle and eastern parts as well as some of the western parts of the country; meanwhile, the satellite estimates for the other parts fluctuated between an overestimation and an underestimation. The late run product showed an improved accuracy over the southern and western parts; however, over the northern and middle parts, it showed relatively high errors. The final run product revealed significantly improved <span class="hlt">precipitation</span> estimations and successfully obtained higher accuracies over most parts of the country. This study provides an early assessment of the performance of the GPM satellite products over the Middle East. The study findings can be used as a beneficial reference for the future development of the IMERG algorithms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PhDT.......203S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PhDT.......203S"><span>A Comprehensive Analysis of Clouds, Radiation, and <span class="hlt">Precipitation</span> in the North Pacific ITCZ in the <span class="hlt">NASA</span> GISS ModelE GCM and Satellite Observations</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stanfield, Ryan Evan</p> <p></p> <p><span class="hlt">Global</span> circulation/climate models (GCMs) remain as an invaluable tool to predict future potential climate change. To best advise policy makers, assessing and increasing the accuracy of climate models is paramount. The treatment of clouds, radiation and <span class="hlt">precipitation</span> in climate models and their associated feedbacks have long been one of the largest sources of uncertainty in predicting any potential future climate changes. Three versions of the <span class="hlt">NASA</span> GISS ModelE GCM (the frozen CMIP5 version [C5], a post-CMIP5 version with modifications to cumulus and boundary layer turbulence parameterizations [P5], and the most recent version of the GCM which builds on the post-CMIP5 version with further modifications to convective cloud ice and cold pool parameterizations [E5]) have been compared with various satellite observations to analyze how recent modifications to the GCM has impacted cloud, radiation, and <span class="hlt">precipitation</span> properties. In addition to <span class="hlt">global</span> comparisons, two areas are showcased in regional analyses: the Eastern Pacific Northern ITCZ (EP-ITCZ), and Indonesia and the Western Pacific (INDO-WP). Changes to the cumulus and boundary layer turbulence parameterizations in the P5 version of the GCM have improved cloud and radiation estimations in areas of descending motion, such as the Southern Mid-Latitudes. Ice particle size and fall speed modifications in the E5 version of the GCM have decreased ice cloud water contents and cloud fractions <span class="hlt">globally</span> while increasing <span class="hlt">precipitable</span> water vapor in the model. Comparisons of IWC profiles show that the GCM simulated IWCs increase with height and peak in the upper portions of the atmosphere, while 2C-ICE observations peak in the lower levels of the atmosphere and decrease with height, effectively opposite of each other. Profiles of CF peak at lower heights in the E5 simulation, which will potentially increase outgoing longwave radiation due to higher cloud top temperatures, which will counterbalance the decrease in reflected</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100024519','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100024519"><span>Prediction Activities at <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Modeling and Assimilation Office</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schubert, Siegfried</p> <p>2010-01-01</p> <p>The <span class="hlt">Global</span> Modeling and Assimilation Office (GMAO) is a core <span class="hlt">NASA</span> resource for the development and use of satellite observations through the integrating tools of models and assimilation systems. <span class="hlt">Global</span> ocean, atmosphere and land surface models are developed as components of assimilation and forecast systems that are used for addressing the weather and climate research questions identified in <span class="hlt">NASA</span>'s science mission. In fact, the GMAO is actively engaged in addressing one of <span class="hlt">NASA</span>'s science mission s key questions concerning how well transient climate variations can be understood and predicted. At weather time scales the GMAO is developing ultra-high resolution <span class="hlt">global</span> climate models capable of resolving high impact weather systems such as hurricanes. The ability to resolve the detailed characteristics of weather systems within a <span class="hlt">global</span> framework greatly facilitates addressing fundamental questions concerning the link between weather and climate variability. At sub-seasonal time scales, the GMAO is engaged in research and development to improve the use of land information (especially soil moisture), and in the improved representation and initialization of various sub-seasonal atmospheric variability (such as the MJO) that evolves on time scales longer than weather and involves exchanges with both the land and ocean The GMAO has a long history of development for advancing the seasonal-to-interannual (S-I) prediction problem using an older version of the coupled atmosphere-ocean general circulation model (AOGCM). This includes the development of an Ensemble Kalman Filter (EnKF) to facilitate the multivariate assimilation of ocean surface altimetry, and an EnKF developed for the highly inhomogeneous nature of the errors in land surface models, as well as the multivariate assimilation needed to take advantage of surface soil moisture and snow observations. The importance of decadal variability, especially that associated with long-term droughts is well recognized by the</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_13");'>13</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li class="active"><span>15</span></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_15 --> <div id="page_16" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="301"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4827032','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4827032"><span><span class="hlt">Global</span> monsoon <span class="hlt">precipitation</span> responses to large volcanic eruptions</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Liu, Fei; Chai, Jing; Wang, Bin; Liu, Jian; Zhang, Xiao; Wang, Zhiyuan</p> <p>2016-01-01</p> <p>Climate variation of <span class="hlt">global</span> monsoon (GM) <span class="hlt">precipitation</span> involves both internal feedback and external forcing. Here, we focus on strong volcanic forcing since large eruptions are known to be a dominant mechanism in natural climate change. It is not known whether large volcanoes erupted at different latitudes have distinctive effects on the monsoon in the Northern Hemisphere (NH) and the Southern Hemisphere (SH). We address this issue using a 1500-year volcanic sensitivity simulation by the Community Earth System Model version 1.0 (CESM1). Volcanoes are classified into three types based on their meridional aerosol distributions: NH volcanoes, SH volcanoes and equatorial volcanoes. Using the model simulation, we discover that the GM <span class="hlt">precipitation</span> in one hemisphere is enhanced significantly by the remote volcanic forcing occurring in the other hemisphere. This remote volcanic forcing-induced intensification is mainly through circulation change rather than moisture content change. In addition, the NH volcanic eruptions are more efficient in reducing the NH monsoon <span class="hlt">precipitation</span> than the equatorial ones, and so do the SH eruptions in weakening the SH monsoon, because the equatorial eruptions, despite reducing moisture content, have weaker effects in weakening the off-equatorial monsoon circulation than the subtropical-extratropical volcanoes do. PMID:27063141</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090022147','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090022147"><span><span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk: A New Tool for Earth Science Research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hall, Phill</p> <p>2009-01-01</p> <p>This slide presentation reviews the <span class="hlt">Global</span> Hawk, a unmanned aerial vehicle (UAV) that <span class="hlt">NASA</span> plans to use for Earth Sciences research. The <span class="hlt">Global</span> Hawk is the world's first fully autonomous high-altitude, long-endurance aircraft, and is capable of conducting long duration missions. Plans are being made for the use of the aircraft on missions in the Arctic, Pacific and Western Atlantic Oceans. There are slides showing the <span class="hlt">Global</span> Hawk Operations Center (GHOC), Flight Control and Air Traffic Control Communications Architecture, and Payload Integration and Accommodations on the <span class="hlt">Global</span> Hawk. The first science campaign, planned for a study of the Pacific Ocean, is reviewed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20080039308','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20080039308"><span>Improving Access to <span class="hlt">Precipitation</span> Data for GIS Users: Designing for Ease of Use</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stocker, Erich F.; Kelley, Owen A.</p> <p>2007-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission (GPM) is a <span class="hlt">NASA</span>/JAXA led international mission to configure a constellation of space-based radiometers to monitor <span class="hlt">precipitation</span> over the globe. The GPM goal of making <span class="hlt">global</span> 3-hour <span class="hlt">precipitation</span> products available in near real-time will make such <span class="hlt">global</span> products more useful to a broader community of modelers and Geographic Information Systems (GIS) users than is currently the case with remote sensed <span class="hlt">precipitation</span> products. Based on the existing interest to make Tropical Rainfall Measuring Mission (TRMM) data available to a growing community of GIS users as well as what will certainly be an expanded community during the GPM era, it is clear that data systems must make a greater effort to provide data in formats easily used by GIS. We describe <span class="hlt">precipitation</span> GIS products being developed for TRMM data. These products will serve as prototypes for production efforts during the GPM era. We describe efforts to convert TRMM <span class="hlt">precipitation</span> data to GeoTIFF, Shapefile, and ASCII grid. Clearly, our goal is to format GPM data so that it can be easily used within GIS applications. We desire feedback on these efforts and any additions or direction changes that should be undertaken by the data system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1992JGR....97.5481D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1992JGR....97.5481D"><span>A model function of the <span class="hlt">global</span> bomb tritium distribution in <span class="hlt">precipitation</span>, 1960-1986</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Doney, Scott C.; Glover, David M.; Jenkins, William J.</p> <p>1992-04-01</p> <p>The paper presents a model function for predicting the annual mean concentration of the decay-corrected bomb tritium in <span class="hlt">precipitation</span> over the time period 1960-1986. The model was developed using the World Meteorological Organization/International Atomic Energy Agency data for tritium <span class="hlt">precipitation</span>. The resulting tritium function is <span class="hlt">global</span> in scope and includes both marine and continental data. Estimates were obtained of the seasonal cycle of tritium in <span class="hlt">precipitation</span>, which may be useful for studying atmospheric transport and oceanic processes, such as convection and subduction that occur on seasonal timescales.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910007187','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910007187"><span><span class="hlt">NASA</span>/MSFC FY90 <span class="hlt">Global</span> Scale Atmospheric Processes Research Program Review</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Leslie, Fred W. (Editor)</p> <p>1990-01-01</p> <p>Research supported by the <span class="hlt">Global</span> Atmospheric Research Program at the Marshall Space Flight Center on atmospheric remote sensing, meteorology, numerical weather forecasting, satellite data analysis, cloud <span class="hlt">precipitation</span>, atmospheric circulation, atmospheric models and related topics is discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.H13B1108S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.H13B1108S"><span>A suite of <span class="hlt">global</span> reconstructed <span class="hlt">precipitation</span> products and their error estimate by multivariate regression using empirical orthogonal functions: 1850-present</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shen, S. S.</p> <p>2014-12-01</p> <p>This presentation describes a suite of <span class="hlt">global</span> <span class="hlt">precipitation</span> products reconstructed by a multivariate regression method using an empirical orthogonal function (EOF) expansion. The sampling errors of the reconstruction are estimated for each product datum entry. The maximum temporal coverage is 1850-present and the spatial coverage is quasi-<span class="hlt">global</span> (75S, 75N). The temporal resolution ranges from 5-day, monthly, to seasonal and annual. The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) <span class="hlt">precipitation</span> data from 1979-2008 are used to calculate the EOFs. The <span class="hlt">Global</span> Historical Climatology Network (GHCN) gridded data are used to calculate the regression coefficients for reconstructions. The sampling errors of the reconstruction are analyzed in detail for different EOF modes. Our reconstructed 1900-2011 time series of the <span class="hlt">global</span> average annual <span class="hlt">precipitation</span> shows a 0.024 (mm/day)/100a trend, which is very close to the trend derived from the mean of 25 models of the CMIP5 (Coupled Model Intercomparison Project Phase 5). Our reconstruction examples of 1983 El Niño <span class="hlt">precipitation</span> and 1917 La Niña <span class="hlt">precipitation</span> (Figure 1) demonstrate that the El Niño and La Niña <span class="hlt">precipitation</span> patterns are well reflected in the first two EOFs. The validation of our reconstruction results with GPCP makes it possible to use the reconstruction as the benchmark data for climate models. This will help the climate modeling community to improve model <span class="hlt">precipitation</span> mechanisms and reduce the systematic difference between observed <span class="hlt">global</span> <span class="hlt">precipitation</span>, which hovers at around 2.7 mm/day for reconstructions and GPCP, and model <span class="hlt">precipitations</span>, which have a range of 2.6-3.3 mm/day for CMIP5. Our <span class="hlt">precipitation</span> products are publically available online, including digital data, <span class="hlt">precipitation</span> animations, computer codes, readme files, and the user manual. This work is a joint effort between San Diego State University (Sam Shen, Nancy Tafolla, Barbara Sperberg, and Melanie Thorn) and University of Maryland (Phil</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140009998','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140009998"><span>Estimating Climatological Bias Errors for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert; Gu, Guojun; Huffman, George</p> <p>2012-01-01</p> <p>A procedure is described to estimate bias errors for mean <span class="hlt">precipitation</span> by using multiple estimates from different algorithms, satellite sources, and merged products. The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) monthly product is used as a base <span class="hlt">precipitation</span> estimate, with other input products included when they are within +/- 50% of the GPCP estimates on a zonal-mean basis (ocean and land separately). The standard deviation s of the included products is then taken to be the estimated systematic, or bias, error. The results allow one to examine monthly climatologies and the annual climatology, producing maps of estimated bias errors, zonal-mean errors, and estimated errors over large areas such as ocean and land for both the tropics and the globe. For ocean areas, where there is the largest question as to absolute magnitude of <span class="hlt">precipitation</span>, the analysis shows spatial variations in the estimated bias errors, indicating areas where one should have more or less confidence in the mean <span class="hlt">precipitation</span> estimates. In the tropics, relative bias error estimates (s/m, where m is the mean <span class="hlt">precipitation</span>) over the eastern Pacific Ocean are as large as 20%, as compared with 10%-15% in the western Pacific part of the ITCZ. An examination of latitudinal differences over ocean clearly shows an increase in estimated bias error at higher latitudes, reaching up to 50%. Over land, the error estimates also locate regions of potential problems in the tropics and larger cold-season errors at high latitudes that are due to snow. An empirical technique to area average the gridded errors (s) is described that allows one to make error estimates for arbitrary areas and for the tropics and the globe (land and ocean separately, and combined). Over the tropics this calculation leads to a relative error estimate for tropical land and ocean combined of 7%, which is considered to be an upper bound because of the lack of sign-of-the-error canceling when integrating over different areas with a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003702','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003702"><span>Approximating Long-Term Statistics Early in the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Era</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stanley, Thomas; Kirschbaum, Dalia B.; Huffman, George J.; Adler, Robert F.</p> <p>2017-01-01</p> <p>Long-term <span class="hlt">precipitation</span> records are vital to many applications, especially the study of extreme events. The Tropical Rainfall Measuring Mission (TRMM) has served this need, but TRMMs successor mission, <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM), does not yet provide a long-term record. Quantile mapping, the conversion of values across paired empirical distributions, offers a simple, established means to approximate such long-term statistics, but only within appropriately defined domains. This method was applied to a case study in Central America, demonstrating that quantile mapping between TRMM and GPM data maintains the performance of a real-time landslide model. Use of quantile mapping could bring the benefits of the latest satellite-based <span class="hlt">precipitation</span> dataset to existing user communities such as those for hazard assessment, crop forecasting, numerical weather prediction, and disease tracking.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AtmRe.201..206Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AtmRe.201..206Z"><span>Systematical estimation of GPM-based <span class="hlt">global</span> satellite mapping of <span class="hlt">precipitation</span> products over China</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhao, Haigen; Yang, Bogang; Yang, Shengtian; Huang, Yingchun; Dong, Guotao; Bai, Juan; Wang, Zhiwei</p> <p>2018-03-01</p> <p>As the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Core Observatory satellite continues its mission, new version 6 products for <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> (GSMaP) have been released. However, few studies have systematically evaluated the GSMaP products over mainland China. This study quantitatively evaluated three GPM-based GSMaP version 6 <span class="hlt">precipitation</span> products for China and eight subregions referring to the Chinese daily <span class="hlt">Precipitation</span> Analysis Product (CPAP). The GSMaP products included near-real-time (GSMaP_NRT), microwave-infrared reanalyzed (GSMaP_MVK), and gauge-adjusted (GSMaP_Gau) data. Additionally, the gauge-adjusted Integrated Multi-Satellite Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission (IMERG_Gau) was also assessed and compared with GSMaP_Gau. The analyses of the selected daily products were carried out at spatiotemporal resolutions of 1/4° for the period of March 2014 to December 2015 in consideration of the resolution of CPAP and the consistency of the coverage periods of the satellite products. The results indicated that GSMaP_MVK and GSMaP_NRT performed comparably and underdetected light rainfall events (< 5 mm/day) in the northwest and northeast of China. All the statistical metrics of GSMaP_MVK were slightly improved compared with GSMaP_NRT in spring, autumn, and winter, whereas GSMaP_NRT demonstrated superior Pearson linear correlation coefficient (CC), fractional standard error (FSE), and root-mean-square error (RMSE) metrics during the summer. Compared with GSMaP_NRT and GSMaP_MVK, GSMaP_Gau possessed significantly improved metrics over mainland China and the eight subregions and performed better in terms of CC, RMSE, and FSE but underestimated <span class="hlt">precipitation</span> to a greater degree than IMERG_Gau. As a quantitative assessment of the GPM-era GSMaP products, these validation results will supply helpful references for both end users and algorithm developers. However, the study findings need to be confirmed over a longer future</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016SPIE.9880E..1AS','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016SPIE.9880E..1AS"><span>Flood modelling with <span class="hlt">global</span> <span class="hlt">precipitation</span> measurement (GPM) satellite rainfall data: a case study of Dehradun, Uttarakhand, India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sai Krishna, V. V.; Dikshit, Anil Kumar; Pandey, Kamal</p> <p>2016-05-01</p> <p>Urban expansion, water bodies and climate change are inextricably linked with each other. The macro and micro level climate changes are leading to extreme <span class="hlt">precipitation</span> events which have severe consequences on flooding in urban areas. Flood simulations shall be helpful in demarcation of flooded areas and effective flood planning and preparedness. The temporal availability of satellite rainfall data at varying spatial scale of 0.10 to 0.50 is helpful in near real time flood simulations. The present research aims at analysing stream flow and runoff to monitor flood condition using satellite rainfall data in a hydrologic model. The satellite rainfall data used in the research was <span class="hlt">NASA</span>'s Integrated Multi-satellite Retrievals for <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (IMERG), which is available at 30 minutes temporal resolution. Landsat data was used for mapping the water bodies in the study area. Land use land cover (LULC) data was prepared using Landsat 8 data with maximum likelihood technique that was provided as an input to the HEC-HMS hydrological model. The research was applied to one of the urbanized cities of India, viz. Dehradun, which is the capital of Uttarakhand State. The research helped in identifying the flood vulnerability at the basin level on the basis of the runoff and various socio economic parameters using multi criteria analysis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017GeoRL..44.7429C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017GeoRL..44.7429C"><span>Simultaneous stabilization of <span class="hlt">global</span> temperature and <span class="hlt">precipitation</span> through cocktail geoengineering</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cao, Long; Duan, Lei; Bala, Govindasamy; Caldeira, Ken</p> <p>2017-07-01</p> <p>Solar geoengineering has been proposed as a backup plan to offset some aspects of anthropogenic climate change if timely CO2 emission reductions fail to materialize. Modeling studies have shown that there are trade-offs between changes in temperature and hydrological cycle in response to solar geoengineering. Here we investigate the possibility of stabilizing both <span class="hlt">global</span> mean temperature and <span class="hlt">precipitation</span> simultaneously by combining two geoengineering approaches: stratospheric sulfate aerosol increase (SAI) that deflects sunlight to space and cirrus cloud thinning (CCT) that enables more longwave radiation to escape to space. Using the slab ocean configuration of National Center for Atmospheric Research Community Earth System Model, we simulate SAI by uniformly adding sulfate aerosol in the upper stratosphere and CCT by uniformly increasing cirrus cloud ice particle falling speed. Under an idealized warming scenario of abrupt quadrupling of atmospheric CO2, we show that by combining appropriate amounts of SAI and CCT geoengineering, <span class="hlt">global</span> mean (or land mean) temperature and <span class="hlt">precipitation</span> can be restored simultaneously to preindustrial levels. However, compared to SAI, cocktail geoengineering by mixing SAI and CCT does not markedly improve the overall similarity between geoengineered climate and preindustrial climate on regional scales. Some optimal spatially nonuniform mixture of SAI with CCT might have the potential to better mitigate climate change at both the <span class="hlt">global</span> and regional scales.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050203836&hterms=data+sets&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Ddata%2Bsets','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050203836&hterms=data+sets&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Ddata%2Bsets"><span>Means, Variability and Trends of <span class="hlt">Precipitation</span> in the <span class="hlt">Global</span> Climate as Determined by the 25-year GEWEWGPCP Data Set</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, R. F.; Gu, G.; Curtis, S.; Huffman, G. J.</p> <p>2004-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) 25-year <span class="hlt">precipitation</span> data set is used as a basis to evaluate the mean state, variability and trends (or inter-decadal changes) of <span class="hlt">global</span> and regional scales of <span class="hlt">precipitation</span>. The uncertainties of these characteristics of the data set are evaluated by examination of other, parallel data sets and examination of shorter periods with higher quality data (e.g., TRMM). The <span class="hlt">global</span> and regional means are assessed for uncertainty by comparing with other satellite and gauge data sets, both <span class="hlt">globally</span> and regionally. The GPCP <span class="hlt">global</span> mean of 2.6 mdday is divided into values of ocean and land and major latitude bands (Tropics, mid-latitudes, etc.). Seasonal variations <span class="hlt">globally</span> and by region are shown and uncertainties estimated. The variability of <span class="hlt">precipitation</span> year-to-year is shown to be related to ENS0 variations and volcanoes and is evaluated in relation to the overall lack of a significant <span class="hlt">global</span> trend. The GPCP data set necessarily has a heterogeneous time series of input data sources, so part of the assessment described above is to test the initial results for potential influence by major data boundaries in the record.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H32C..01M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H32C..01M"><span>Verification of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Satellite by the Olympic Mountains Experiment (OLYMPEX)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>McMurdie, L. A.; Houze, R.</p> <p>2017-12-01</p> <p>Measurements of <span class="hlt">global</span> <span class="hlt">precipitation</span> are critical for monitoring Earth's water resources and hydrological processes, including flooding and snowpack accumulation. As such, the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission `Core' satellite detects <span class="hlt">precipitation</span> ranging from light snow to heavy downpours in a wide range locations including remote mountainous regions. The Olympic Mountains Experiment (OLYMPEX) during the 2015-2016 fall-winter season in the mountainous Olympic Peninsula of Washington State provide physical and hydrological validation for GPM <span class="hlt">precipitation</span> algorithms and insight into the modification of midlatitude storms by passage over mountains. The instrumentation included ground-based dual-polarization Doppler radars on the windward and leeward sides of the Olympic Mountains, surface stations that measured <span class="hlt">precipitation</span> rates, particle size distributions and fall velocities at various altitudes, research aircraft equipped with cloud microphysics probes, radars, lidar, and passive radiometers, supplemental rawinsondes and dropsondes, and autonomous recording cameras that monitored snowpack accumulation. Results based on dropsize distributions (DSDs) and cross-sections of radar reflectivity over the ocean and windward slopes have revealed important considerations for GPM algorithm development. During periods of great <span class="hlt">precipitation</span> accumulation and enhancement by the mountains on windward slopes, both warm rain and ice-phase processes are present, implying that it is important for GPM retrievals be sensitive to both types of <span class="hlt">precipitation</span> mechanisms and to represent accurately the concentration of <span class="hlt">precipitation</span> at the lowest possible altitudes. OLYMPEX data revealed that a given rain rate could be associated with a variety of DSDs, which presents a challenge for GPM <span class="hlt">precipitation</span> retrievals in extratropical cyclones passing over mountains. Some of the DSD regimes measured during OLYMPEX stratiform periods have the same characteristics found in prior</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170008480','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170008480"><span>Weather from 250 Miles Up: Visualizing <span class="hlt">Precipitation</span> Satellite Data (and Other Weather Applications) Using CesiumJS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lammers, Matt</p> <p>2017-01-01</p> <p>Geospatial weather visualization remains predominately a two-dimensional endeavor. Even popular advanced tools like the Nullschool Earth display 2-dimensional fields on a 3-dimensional globe. Yet much of the observational data and model output contains detailed three-dimensional fields. In 2014, <span class="hlt">NASA</span> and JAXA (Japanese Space Agency) launched the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) satellite. Its two instruments, the Dual-frequency <span class="hlt">Precipitation</span> Radar (DPR) and GPM Microwave Imager (GMI) observe much of the Earth's atmosphere between 65 degrees North Latitude and 65 degrees South Latitude. As part of the analysis and visualization tools developed by the <span class="hlt">Precipitation</span> Processing System (PPS) Group at <span class="hlt">NASA</span> Goddard, a series of CesiumJS [Using Cesium Markup Language (CZML), JavaScript (JS) and JavaScript Object Notation (JSON)] -based globe viewers have been developed to improve data acquisition decision making and to enhance scientific investigation of the satellite data. Other demos have also been built to illustrate the capabilities of CesiumJS in presenting atmospheric data, including model forecasts of hurricanes, observed surface radar data, and gridded analyses of <span class="hlt">global</span> <span class="hlt">precipitation</span>. This talk will present these websites and the various workflows used to convert binary satellite and model data into a form easily integrated with CesiumJS.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20060043681&hterms=gps+tracking+system&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dgps%2Btracking%2Bsystem','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20060043681&hterms=gps+tracking+system&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dgps%2Btracking%2Bsystem"><span><span class="hlt">NASA</span>'s <span class="hlt">global</span> differential GPS system and the TDRSS augmentation service for satellites</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bar-Sever, Yoaz; Young, Larry; Stocklin, Frank; Rush, John</p> <p>2004-01-01</p> <p><span class="hlt">NASA</span> is planning to launch a new service for Earth satellites providing them with precise GPS differential corrections and other ancillary information enabling decimeter level orbit determination accuracy, and nanosecond time-transfer accuracy, onboard, in real-time. The TDRSS Augmentation Service for Satellites (TASS) will broadcast its message on the S-band multiple access channel of <span class="hlt">NASA</span>'s Tracking and Data Relay Satellite System (TDRSS). The satellite's phase array antenna has been configured to provide a wide beam, extending coverage up to 1000 km altitude over the poles. <span class="hlt">Global</span> coverage will be ensured with broadcast from three or more TDRSS satellites. The GPS differential corrections are provided by the <span class="hlt">NASA</span> <span class="hlt">Global</span> Differential GPS (GDGPS) System, developed and operated by <span class="hlt">NASA</span>'s Jet Propulsion Laboratory. The GDGPS System employs a <span class="hlt">global</span> ground network of more than 70 GPS receivers to monitor the GPS constellation in real time. The system provides real-time estimates of the GPS satellite states, as well as many other real-time products such as differential corrections, <span class="hlt">global</span> ionospheric maps, and integrity monitoring. The unique multiply redundant architecture of the GDGPS System ensures very high reliability, with 99.999% demonstrated since the inception of the system in Early 2000. The estimated real time GPS orbit and clock states provided by the GDGPS system are accurate to better than 20 cm 3D RMS, and have been demonstrated to support sub-decimeter real time positioning and orbit determination for a variety of terrestrial, airborne, and spaceborne applications. In addition to the GPS differential corrections, TASS will provide real-time Earth orientation and solar flux information that enable precise onboard knowledge of the Earth-fixed position of the spacecraft, and precise orbit prediction and planning capabilities. TASS will also provide 5 seconds alarms for GPS integrity failures based on the unique GPS integrity monitoring service of the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ApJ...845...80V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ApJ...845...80V"><span>A <span class="hlt">Global</span> Model for Circumgalactic and Cluster-core <span class="hlt">Precipitation</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Voit, G. Mark; Meece, Greg; Li, Yuan; O'Shea, Brian W.; Bryan, Greg L.; Donahue, Megan</p> <p>2017-08-01</p> <p>We provide an analytic framework for interpreting observations of multiphase circumgalactic gas that is heavily informed by recent numerical simulations of thermal instability and <span class="hlt">precipitation</span> in cool-core galaxy clusters. We start by considering the local conditions required for the formation of multiphase gas via two different modes: (1) uplift of ambient gas by galactic outflows, and (2) condensation in a stratified stationary medium in which thermal balance is explicitly maintained. Analytic exploration of these two modes provides insights into the relationships between the local ratio of the cooling and freefall timescales (I.e., {t}{cool}/{t}{ff}), the large-scale gradient of specific entropy, and the development of <span class="hlt">precipitation</span> and multiphase media in circumgalactic gas. We then use these analytic findings to interpret recent simulations of circumgalactic gas in which <span class="hlt">global</span> thermal balance is maintained. We show that long-lasting configurations of gas with 5≲ \\min ({t}{cool}/{t}{ff})≲ 20 and radial entropy profiles similar to observations of cool cores in galaxy clusters are a natural outcome of <span class="hlt">precipitation</span>-regulated feedback. We conclude with some observational predictions that follow from these models. This work focuses primarily on <span class="hlt">precipitation</span> and AGN feedback in galaxy-cluster cores, because that is where the observations of multiphase gas around galaxies are most complete. However, many of the physical principles that govern condensation in those environments apply to circumgalactic gas around galaxies of all masses.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090032034','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090032034"><span>Improving the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Record: GPCP Version 2.1</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David t.; Gu, Guojun</p> <p>2009-01-01</p> <p>The GPCP has developed Version 2.1 of its long-term (1979-present) <span class="hlt">global</span> Satellite-Gauge (SG) data sets to take advantage of the improved GPCC gauge analysis, which is one key input. As well, the OPI estimates used in the pre-SSM/I era have been rescaled to 20 years of the SSM/I-era SG. The monthly, pentad, and daily GPCP products have been entirely reprocessed, continuing to enforce consistency of the submonthly estimates to the monthly. Version 2.1 is close to Version 2, with the <span class="hlt">global</span> ocean, land, and total values about 0%, 6%, and 2% higher, respectively. The revised long-term <span class="hlt">global</span> <span class="hlt">precipitation</span> rate is 2.68 mm/d. The corresponding tropical (25 N-S) increases are 0%, 7%, and 3%. Long-term linear changes in the data tend to be smaller in Version 2.1, but the statistics are sensitive to the threshold for land/ocean separation and use of the pre-SSM/I part of the record.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080039423&hterms=quasi+experimental&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dquasi%2Bexperimental','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080039423&hterms=quasi+experimental&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dquasi%2Bexperimental"><span>An Experimental System for a <span class="hlt">Global</span> Flood Prediction: From Satellite <span class="hlt">Precipitation</span> Data to a Flood Inundation Map</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert</p> <p>2007-01-01</p> <p>Floods impact more people <span class="hlt">globally</span> than any other type of natural disaster. It has been established by experience that the most effective means to reduce the property damage and life loss caused by floods is the development of flood early warning systems. However, advances for such a system have been constrained by the difficulty in estimating rainfall continuously over space (catchment-. national-, continental-. or even <span class="hlt">global</span>-scale areas) and time (hourly to daily). Particularly, insufficient in situ data, long delay in data transmission and absence of real-time data sharing agreements in many trans-boundary basins hamper the development of a real-time system at the regional to <span class="hlt">global</span> scale. In many countries around the world, particularly in the tropics where rainfall and flooding co-exist in abundance, satellite-based <span class="hlt">precipitation</span> estimation may be the best source of rainfall data for those data scarce (ungauged) areas and trans-boundary basins. Satellite remote sensing data acquired and processed in real time can now provide the space-time information on rainfall fluxes needed to monitor severe flood events around the world. This can be achieved by integrating the satellite-derived forcing data with hydrological models, which can be parameterized by a tailored geospatial database. An example that is a key to this progress is <span class="hlt">NASA</span>'s contribution to the Tropical Rainfall Measuring Mission (TRMM), launched in November 1997. Hence, in an effort to evolve toward a more hydrologically-relevant flood alert system, this talk articulates a module-structured framework for quasi-<span class="hlt">global</span> flood potential naming, that is 'up to date' with the state of the art on satellite rainfall estimation and the improved geospatial datasets. The system is modular in design with the flexibility that permits changes in the model structure and in the choice of components. Four major components included in the system are: 1) multi-satellite <span class="hlt">precipitation</span> estimation; 2) characterization of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1812594Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1812594Z"><span>New and Updated Gridded Analysis Products provided by the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre (GPCC)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ziese, Markus; Schneider, Udo; Meyer-Christoffer, Anja; Finger, Peter; Schamm, Kirstin; Rustemeier, Elke; Becker, Andreas</p> <p>2016-04-01</p> <p>Since its start in 1989 the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre (GPCC) performs <span class="hlt">global</span> analyses of monthly <span class="hlt">precipitation</span> for the earth's land-surface on the basis of in-situ measurements. Meanwhile, the data set has continuously grown both in temporal coverage (original start of the evaluation period was 1986), as well as extent and quality of the underlying data base. The high spatio-temporal variability of <span class="hlt">precipitation</span> requires an accordingly high density of measurement data. Data collected from national meteorological and hydrological services are the core of the GPCC data base, supported by <span class="hlt">global</span> and regional data collections. Also the GPCC receives SYNOP and CLIMAT reports via WMO-GTS, which are mainly applied for near-real-time products. A high quality control effort is undertaken to remove miscoded and temporal or spatial dislocated data before entry into the GPCC archive, serving the basis for further interpolation and product generation. The GPCC archive holds records from almost 100 000 stations, among those three quarters with records long enough to serve the data basis of the GPCC suite of <span class="hlt">global</span> <span class="hlt">precipitation</span> products, comprising near-real-time as well as non-real-time products. Near-real-time products are the 'First Guess Monthly', 'First Guess Daily', 'Monitoring Product' and 'GPCC Drought Index'. These products are based on WMO-GTS data, e.g., SYNOP and CLIMAT reports and monthly totals calculated at CPC. Non-real-time products are the 'Full Data Monthly', 'Full Data Daily', 'Climatology', and 'HOMPRA-Europe'. Data from national meteorological and hydrological services and regional and <span class="hlt">global</span> data collections are mainly used to calculate these products. Also WMO-GTS data are used if no other data are available. The majority of the products were released in an updated version, but 'Full Data Daily' and HOMPRA-Europe' are new products provided the first time. 'Full Data Daily' is a <span class="hlt">global</span> analysis of daily <span class="hlt">precipitation</span> totals from 1988 to 2013</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001183.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001183.html"><span>GPM Launch Day at <span class="hlt">NASA</span> Goddard (Feb. 27, 2014)</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-02-27</p> <p>The Daruma doll is a symbol of good luck and in Japan is often given as a gift for encouragement to reach a goal. When the goal is set, one eye is colored in. When the goal is achieved, the other eye is colored. An identical doll sits in the control room at the Japan Aerospace Agency’s (JAXA) Tanegashima Space Center, leading up to the launch of the joint <span class="hlt">NASA</span>-JAXA <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission’s Core Observatory. Credit: <span class="hlt">NASA</span>'s Goddard Space Flight Center/Debbie McCallum GPM's Core Observatory is poised for launch from the Japan Aerospace Exploration Agency's Tanegashima Space Center, scheduled for the afternoon of Feb. 27, 2014 (EST). GPM is a joint venture between <span class="hlt">NASA</span> and the Japan Aerospace Exploration Agency. The GPM Core Observatory will link data from a constellation of current and planned satellites to produce next-generation <span class="hlt">global</span> measurements of rainfall and snowfall from space. The GPM mission is the first coordinated international satellite network to provide near real-time observations of rain and snow every three hours anywhere on the globe. The GPM Core Observatory anchors this network by providing observations on all types of <span class="hlt">precipitation</span>. The observatory's data acts as the measuring stick by which partner observations can be combined into a unified data set. The data will be used by scientists to study climate change, freshwater resources, floods and droughts, and hurricane formation and tracking. <span class="hlt">NASA</span> image use policy. <span class="hlt">NASA</span> Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System Exploration, and Astrophysics. Goddard plays a leading role in NASA’s accomplishments by contributing compelling scientific knowledge to advance the Agency’s mission. Follow us on Twitter Like us on Facebook Find us on Instagram</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_14");'>14</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li class="active"><span>16</span></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_16 --> <div id="page_17" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="321"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120009823','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120009823"><span><span class="hlt">Precipitation</span> Estimation Using Combined Radar/Radiometer Measurements Within the GPM Framework</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur</p> <p>2012-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission is an international satellite mission specifically designed to unify and advance <span class="hlt">precipitation</span> measurements from a constellation of research and operational microwave sensors. The GPM mission centers upon the deployment of a Core Observatory in a 65o non-Sun-synchronous orbit to serve as a physics observatory and a transfer standard for intersatellite calibration of constellation radiometers. The GPM Core Observatory will carry a Ku/Ka-band Dual-frequency <span class="hlt">Precipitation</span> Radar (DPR) and a conical-scanning multi-channel (10-183 GHz) GPM Microwave Radiometer (GMI). The DPR will be the first dual-frequency radar in space to provide not only measurements of 3-D <span class="hlt">precipitation</span> structures but also quantitative information on microphysical properties of <span class="hlt">precipitating</span> particles needed for improving <span class="hlt">precipitation</span> retrievals from microwave sensors. The DPR and GMI measurements will together provide a database that relates vertical hydrometeor profiles to multi-frequency microwave radiances over a variety of environmental conditions across the globe. This combined database will be used as a common transfer standard for improving the accuracy and consistency of <span class="hlt">precipitation</span> retrievals from all constellation radiometers. For <span class="hlt">global</span> coverage, GPM relies on existing satellite programs and new mission opportunities from a consortium of partners through bilateral agreements with either <span class="hlt">NASA</span> or JAXA. Each constellation member may have its unique scientific or operational objectives but contributes microwave observations to GPM for the generation and dissemination of unified <span class="hlt">global</span> <span class="hlt">precipitation</span> data products. In addition to the DPR and GMI on the Core Observatory, the baseline GPM constellation consists of the following sensors: (1) Special Sensor Microwave Imager/Sounder (SSMIS) instruments on the U.S. Defense Meteorological Satellite Program (DMSP) satellites, (2) the Advanced Microwave Scanning Radiometer-2 (AMSR-2) on the GCOM-W1</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1919027S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1919027S"><span>Downscaling <span class="hlt">global</span> <span class="hlt">precipitation</span> for local applications - a case for the Rhine basin</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sperna Weiland, Frederiek; van Verseveld, Willem; Schellekens, Jaap</p> <p>2017-04-01</p> <p>Within the EU FP7 project eartH2Observe a <span class="hlt">global</span> Water Resources Re-analysis (WRR) is being developed. This re-analysis consists of meteorological and hydrological water balance variables with <span class="hlt">global</span> coverage, spanning the period 1979-2014 at 0.25 degrees resolution (Schellekens et al., 2016). The dataset can be of special interest in regions with limited in-situ data availability, yet for local scale analysis particularly in mountainous regions, a resolution of 0.25 degrees may be too coarse and downscaling the data to a higher resolution may be required. A downscaling toolbox has been made that includes spatial downscaling of <span class="hlt">precipitation</span> based on the <span class="hlt">global</span> WorldClim dataset that is available at 1 km resolution as a monthly climatology (Hijmans et al., 2005). The input of the down-scaling tool are either the <span class="hlt">global</span> eartH2Observe WRR1 and WRR2 datasets based on the WFDEI correction methodology (Weedon et al., 2014) or the <span class="hlt">global</span> Multi-Source Weighted-Ensemble <span class="hlt">Precipitation</span> (MSWEP) dataset (Beck et al., 2016). Here we present a validation of the datasets over the Rhine catchment by means of a distributed hydrological model (wflow, Schellekens et al., 2014) using a number of <span class="hlt">precipitation</span> scenarios. (1) We start by running the model using the local reference dataset derived by spatial interpolation of gauge observations. Furthermore we use (2) the MSWEP dataset at the native 0.25-degree resolution followed by (3) MSWEP downscaled with the WorldClim dataset and final (4) MSWEP downscaled with the local reference dataset. The validation will be based on comparison of the modeled river discharges as well as rainfall statistics. We expect that down-scaling the MSWEP dataset with the WorldClim data to higher resolution will increase its performance. To test the performance of the down-scaling routine we have added a run with MSWEP data down-scaled with the local dataset and compare this with the run based on the local dataset itself. - Beck, H. E. et al., 2016. MSWEP</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120008825','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120008825"><span>High Resolution <span class="hlt">Global</span> Climate Modeling with GEOS-5: Intense <span class="hlt">Precipitation</span>, Convection and Tropical Cyclones on Seasonal Time-Scales.</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Putnam, WilliamM.</p> <p>2011-01-01</p> <p>In 2008 the World Modeling Summit for Climate Prediction concluded that "climate modeling will need-and is ready-to move to fundamentally new high-resolution approaches to capitalize on the seamlessness of the weather-climate continuum." Following from this, experimentation with very high-resolution <span class="hlt">global</span> climate modeling has gained enhanced priority within many modeling groups and agencies. The <span class="hlt">NASA</span> Goddard Earth Observing System model (GEOS-5) has been enhanced to provide a capability for the execution at the finest horizontal resolutions POS,SIOle with a <span class="hlt">global</span> climate model today. Using this high-resolution, non-hydrostatic version of GEOS-5, we have developed a unique capability to explore the intersection of weather and climate within a seamless prediction system. Week-long weather experiments, to mUltiyear climate simulations at <span class="hlt">global</span> resolutions ranging from 3.5- to 14-km have demonstrated the predictability of extreme events including severe storms along frontal systems, extra-tropical storms, and tropical cyclones. The primary benefits of high resolution <span class="hlt">global</span> models will likely be in the tropics, with better predictions of the genesis stages of tropical cyclones and of the internal structure of their mature stages. Using satellite data we assess the accuracy of GEOS-5 in representing extreme weather phenomena, and their interaction within the <span class="hlt">global</span> climate on seasonal time-scales. The impacts of convective parameterization and the frequency of coupling between the moist physics and dynamics are explored in terms of <span class="hlt">precipitation</span> intensity and the representation of deep convection. We will also describe the seasonal variability of <span class="hlt">global</span> tropical cyclone activity within a <span class="hlt">global</span> climate model capable of representing the most intense category 5 hurricanes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000021497&hterms=xie&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CLT%2B20031231%26N%3D0%26No%3D30%26Ntt%3Dxie','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000021497&hterms=xie&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CLT%2B20031231%26N%3D0%26No%3D30%26Ntt%3Dxie"><span>The New 20-Year <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) Merged Satellite and Rainguage Monthly Analysis</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert; Huffman, George; Xie, Ping Ping; Rudolf, Bruno; Gruber, Arnold; Janowiak, John</p> <p>1999-01-01</p> <p>A new 20-year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis has been completed as part of the World Climate Research Program's (WCRP/GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). This Version 2 of the community generated data set is a result of combining the procedures and data sets as described. The <span class="hlt">global</span>, monthly, 2.5x 2.5 degree latitude-longitude product utilizes <span class="hlt">precipitation</span> estimates from low-orbit microwave sensors (SSM/1) and geosynchronous IR sensors and raingauge information over land. The low-orbit microwave estimates are used to adjust or correct the geosynchronous IR estimates, thereby maximizing the utility of the more physically-based microwave estimates and the finer time sampling of the geosynchronous observations. Information from raingauges is blended into the analyses over land. In the 1986-present period TOVS-based <span class="hlt">precipitation</span> estimates are adjusted to GPCP fields and used in polar regions to produce <span class="hlt">globally</span>-complete results. The extension back to 1979 utilizes the procedures of Xie and Arkin and their OLR <span class="hlt">Precipitation</span> Index (OPI). The 20-year climatology of the Version 2 GPCP analysis indicates the expected features of a very strong Pacific Ocean ITCZ and SPCZ with maximum 20-year means approaching 10 mm/day. A similar strength maximum over land is evident over Borneo. Weaker maxima in the tropics occur in the Atlantic ITCZ and over South America and Africa. In mid-latitudes of the Northern Hemisphere the Western Pacific and Western Atlantic maxima have values of approximately 7 mm/day, while in the Southern Hemisphere the mid-latitude maxima are located southeast of Africa, in mid-Pacific as an extension of the SPCZ and southeast of South America. In terms of <span class="hlt">global</span> totals the GPCP analysis shows 2.7 mm/day (3.0 mm/day over ocean; 2.1 mm/day over land), similar to the Jaeger climatology, but not other climatologies. Zonal averages peak at 6 mm/day at 7*N with mid-latitude peaks of about 3 mm/day at 40-45* latitude</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180000524','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180000524"><span>Decadal Seasonal Shifts of <span class="hlt">Precipitation</span> and Temperature in TRMM and AIRS Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Savtchenko, Andrey; Huffman, George; Meyer, David; Vollmer, Bruce</p> <p>2018-01-01</p> <p>We present results from an analysis of seasonal phase shifts in the <span class="hlt">global</span> <span class="hlt">precipitation</span> and surface temperatures. We use data from the TRMM (Tropical Rainfall Measuring Mission) Multi-satellite <span class="hlt">Precipitation</span> Algorithm (TMPA), and the Atmospheric Infrared Sounder (AIRS) on Aqua satellite, all hosted at <span class="hlt">NASA</span> Goddard Earth Science Data and Information Services Center (GES DISC). We explore the information content and data usability by first aggregating daily grids from the entire records of both missions to pentad (5-day) series which are then processed using Singular Value Decomposition approach. A strength of this approach is the normalized principal components that can then be easily converted from real to complex time series. Thus, we can separate the most informative, the seasonal, components and analyze unambiguously for potential seasonal phase drifts. TMPA and AIRS records represent correspondingly 20 and 15 years of data, which allows us to run simple “phase learning†from the first 5 years of records and use it as reference. The most recent 5 years are then phase-compared with the reference. We demonstrate that the seasonal phase of <span class="hlt">global</span> <span class="hlt">precipitation</span> and surface temperatures has been stable in the past two decades. However, a small <span class="hlt">global</span> trend of delayed <span class="hlt">precipitation</span>, and earlier arrival of surface temperatures seasons, are detectable at 95% confidence level. Larger phase shifts are detectable at regional level, in regions recognizable from the Eigen vectors to having strong seasonal patterns. For instance, in Central North America, including the North American Monsoon region, confident phase shifts of 1-2 days per decade are detected at 95% confidence level. While seemingly symbolic, these shifts are indicative of larger changes in the Earth Climate System. We thus also demonstrate a potential usability scenario of Earth Science Data Records curated at the <span class="hlt">NASA</span> GES DISC in partnership with Earth Science Missions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H51J1402L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H51J1402L"><span>Mapping <span class="hlt">Precipitation</span> in the Lower Mekong River Basin and the U.S. Affiliated Pacific Islands</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lakshmi, V.; Sutton, J. R. P.; Bolten, J. D.</p> <p>2017-12-01</p> <p>Mapping and quantifying <span class="hlt">precipitation</span> across varying temporal and spatial scales is of utmost importance in understanding, monitoring, and predicting flooding and drought. While there exists many in-situ <span class="hlt">precipitation</span> gages that can accurately estimate <span class="hlt">precipitation</span> in a given location, there are still many areas that lack in-situ gages. Many of these locations do not have <span class="hlt">precipitation</span> gages because they are rural and/or topographically complex. The purpose of our research was to compare different remotely sensed satellite <span class="hlt">precipitation</span> estimates with in-situ estimates across topographically complex and rural terrain within the United States Affiliated Pacific Islands (USAPI) and the Lower Mekong River Basin (LMRB). We utilize the publicly available <span class="hlt">Precipitation</span> Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) Climate Data Record (CDR) from NOAA and two remotely sensed <span class="hlt">precipitation</span> products from <span class="hlt">NASA</span>; the Tropical Rainfall Measuring Mission (TRMM) and the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM). These <span class="hlt">precipitation</span> estimates were compared with each other and to the available in-situ <span class="hlt">precipitation</span> estimates from station gages. We also utilize <span class="hlt">NASA</span> Landsat data to determine the land cover types of these study areas. Using the <span class="hlt">precipitation</span> estimates, topography, and the land cover of the study areas, we were able to show areas experiencing differing amounts of rainfall and their agreement with in-situ estimates. Additionally, we study the seasonal and spatial trends in <span class="hlt">precipitation</span>. These analyses can be used to help understand areas that are experience frequent flood or drought.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUSM.H43B..10T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUSM.H43B..10T"><span>Improving Water Management Decision Support Tools Using <span class="hlt">NASA</span> Satellite and Modeling Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Toll, D. L.; Arsenault, K.; Nigro, J.; Pinheiro, A.; Engman, E. T.; Triggs, J.; Cosgrove, B.; Alonge, C.; Boyle, D.; Allen, R.; Townsend, P.; Ni-Meister, W.</p> <p>2006-05-01</p> <p>One of twelve Applications of National priority within <span class="hlt">NASA</span>'s Applied Science Program, the Water Management Program Element addresses concerns and decision making related to water availability, water forecast and water quality. The goal of the Water Management Program Element is to encourage water management organizations to use <span class="hlt">NASA</span> Earth science data, models products, technology and other capabilities in their decision support tools for problem solving. The Water Management Program Element partners with Federal agencies, academia, private firms, and may include international organizations. This paper further describes the Water Management Program with the objective of informing the applications community of the potential opportunities for using <span class="hlt">NASA</span> science products for problem solving. We will illustrate some ongoing and application Water Management projects evaluating and benchmarking <span class="hlt">NASA</span> data with partnering federal agencies and their decision support tools: 1) Environmental Protection Agency for water quality; 2) Bureau of Reclamation for water supply, demand and forecast; and 3) NOAA National Weather Service for improved weather prediction. Examples of the types of <span class="hlt">NASA</span> contributions to the these agency decision support tools include: 1) satellite observations within models assist to estimate water storage, i.e., snow water equivalent, soil moisture, aquifer volumes, or reservoir storages; 2) model derived products, i.e., evapotranspiration, <span class="hlt">precipitation</span>, runoff, ground water recharge, and other 4-dimensional data assimilation products; 3) improve water quality, assessments by using improved inputs from <span class="hlt">NASA</span> models (<span class="hlt">precipitation</span>, evaporation) and satellite observations (e.g., temperature, turbidity, land cover) to nonpoint source models; and 4) water (i.e., <span class="hlt">precipitation</span>) and temperature predictions from days to decades over local, regional and <span class="hlt">global</span> scales.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1248894','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1248894"><span>Integrated <span class="hlt">Precipitation</span> and Hydrology Experiment (IPHEx)/Orographic <span class="hlt">Precipitation</span> Processes Study Field Campaign Report</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Barros, A. P.; Petersen, W.; Wilson, A. M.</p> <p>2016-04-01</p> <p>Three Microwave Radiometers (two 3-channel and one 2-channel) were deployed in the Southern Appalachian Mountains in western North Carolina as part of the Integrated <span class="hlt">Precipitation</span> and Hydrology Experiment (IPHEx), which was the first National Aeronautics and Space Administration (<span class="hlt">NASA</span>) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) Ground Validation (GV) field campaign after the launch of the GPM Core Satellite (Barros et al. 2014). The radiometers were used along with other instrumentation to estimate the liquid water content of low-level clouds and fog. Specifically, data from the radiometers were collected to help, with other instrumentation, to characterize fog formation, evolution, and dissipation in themore » region (by monitoring the liquid water path in the column) and observe the effect of that fog on the <span class="hlt">precipitation</span> regime. Data were collected at three locations in the Southern Appalachians, specifically western North Carolina: a valley in the inner mountain region, a valley in the open mountain pass region, and a ridge in the inner region. This project contributes to the U.S. Department of Energy (DOE)’s Atmospheric Radiation Measurement (ARM) Climate Research Facility mission by providing in situ observations designed to improve the understanding of clouds and <span class="hlt">precipitation</span> processes in complex terrain. The end goal is to use this improved understanding of physical processes to improve remote-sensing algorithms and representations of orographic <span class="hlt">precipitation</span> microphysics in climate and earth system models.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090009148','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090009148"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Ground Validation (GV) Science Implementation Plan</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Petersen, Walter A.; Hou, Arthur Y.</p> <p>2008-01-01</p> <p>For pre-launch algorithm development and post-launch product evaluation <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Ground Validation (GV) goes beyond direct comparisons of surface rain rates between ground and satellite measurements to provide the means for improving retrieval algorithms and model applications.Three approaches to GPM GV include direct statistical validation (at the surface), <span class="hlt">precipitation</span> physics validation (in a vertical columns), and integrated science validation (4-dimensional). These three approaches support five themes: core satellite error characterization; constellation satellites validation; development of physical models of snow, cloud water, and mixed phase; development of cloud-resolving model (CRM) and land-surface models to bridge observations and algorithms; and, development of coupled CRM-land surface modeling for basin-scale water budget studies and natural hazard prediction. This presentation describes the implementation of these approaches.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20000115616','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20000115616"><span>Intercomparison of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Products: The Third <span class="hlt">Precipitation</span> Intercomparison Project (PIP-3)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Kidd, Christopher; Petty, Grant; Morrissey, Mark; Goodman, H. Michael; Einaudi, Franco (Technical Monitor)</p> <p>2000-01-01</p> <p>A set of <span class="hlt">global</span>, monthly rainfall products has been intercompared to understand the quality and utility of the estimates. The products include 25 observational (satellite-based), four model and two climatological products. The results of the intercomparison indicate a very large range (factor of two or three) of values when all products are considered. The range of values is reduced considerably when the set of observational products is limited to those considered quasi-standard. The model products do significantly poorer in the tropics, but are competitive with satellite-based fields in mid-latitudes over land. Over ocean, products are compared to frequency of <span class="hlt">precipitation</span> from ship observations. The evaluation of the observational products point to merged data products (including rain gauge information) as providing the overall best results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20110008361&hterms=cost+wind&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dcost%2Bwind','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20110008361&hterms=cost+wind&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dcost%2Bwind"><span>Development of the <span class="hlt">NASA</span> High-Altitude Imaging Wind and Rain Airborne Profiler</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Lihua; Heymsfield, Gerald; Carswell, James; Schaubert, Dan; McLinden, Matthew; Vega, Manuel; Perrine, Martin</p> <p>2011-01-01</p> <p>The scope of this paper is the development and recent field deployments of the High-Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP), which was funded under the <span class="hlt">NASA</span> Instrument Incubator Program (IIP) [1]. HIWRAP is a dual-frequency (Ka- and Ku-band), dual-beam (300 and 400 incidence angles), conical scanning, Doppler radar system designed for operation on the <span class="hlt">NASA</span> high-altitude (65,000 ft) <span class="hlt">Global</span> Hawk Unmanned Aerial System (UAS). It utilizes solid state transmitters along with a novel pulse compression scheme that results in a system with compact size, light weight, less power consumption, and low cost compared to radars currently in use for <span class="hlt">precipitation</span> and Doppler wind measurements. By combining measurements at Ku- and Ka-band, HIWRAP is able to image winds through measuring volume backscattering from clouds and <span class="hlt">precipitation</span>. In addition, HIWRAP is also capable of measuring surface winds in an approach similar to SeaWinds on QuikScat. To this end, HIWRAP hardware and software development has been completed. It was installed on the <span class="hlt">NASA</span> WB57 for instrument test flights in March, 2010 and then deployed on the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk for supporting the Genesis and Rapid Intensification Processes (GRIP) field campaign in August-September, 2010. This paper describes the scientific motivations of the development of HIWRAP as well as system hardware, aircraft integration and flight missions. Preliminary data from GRIP science flights is also presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20060013260&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dclimatology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20060013260&hterms=climatology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dclimatology"><span>Status and Plans for the WCRP/GEWEX <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adkerm Robert F.</p> <p>2006-01-01</p> <p>Status and plans for GPCP are presented along with scientific findings from the current data set. <span class="hlt">Global</span> and large regional rainfall variations and possible long-term changes are examined using the 26-year (1979-2004) monthly dataset from the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). One emphasis is to discriminate among the variations due to ENSO, volcanic events and possible long-term changes. Although the <span class="hlt">global</span> change of <span class="hlt">precipitation</span> in the data set is near zero, the data set does indicate an upward trend (0.13 mm/day/25yr) and a downward trend (-0.06 mm/day/25yr) over tropical oceans and lands (25S-25N), respectively. This corresponds to a 4% increase (ocean) and 2% decrease (land) during this time period. Simple techniques are derived to attempt to eliminate variations due to ENSO and major volcanic eruptions in the Tropics. Using only annual values two "volcano years" are determined by examining ocean-land coupled variations in <span class="hlt">precipitation</span> related to ENSO and other phenomena. The outlier years coincide with Pinatubo and El Chicon eruptions. The ENSO signal is reduced by deriving mean ocean and land values for El Nino, La Nina and neutral conditions based on Nino 3.4 SST and normalizing the annual ocean and land <span class="hlt">precipitation</span> to the neutral set of cases. The impact of the two major volcanic eruptions over the past 25 years is estimated to be about a 5% reduction in tropical rainfall. The modified data set (with ENSO and volcano effect at least partially removed) retains the same approximate linear change slopes over the data set period, but with reduced variance leading to significance tests with results in the 90-95% range. Intercomparisons between the GPCP, SSM/I (1988-2004), and TRMM (1998-2004) satellite rainfall products and alternate gauge analyses over land are made to attempt to increase or decrease confidence in the changes seen in the GPCP analysis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004ThApC..78..157B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004ThApC..78..157B"><span>The role of ecosystem-atmosphere interactions in simulated Amazonian <span class="hlt">precipitation</span> decrease and forest dieback under <span class="hlt">global</span> climate warming</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Betts, R. A.; Cox, P. M.; Collins, M.; Harris, P. P.; Huntingford, C.; Jones, C. D.</p> <p></p> <p>A suite of simulations with the HadCM3LC coupled climate-carbon cycle model is used to examine the various forcings and feedbacks involved in the simulated <span class="hlt">precipitation</span> decrease and forest dieback. Rising atmospheric CO2 is found to contribute 20% to the <span class="hlt">precipitation</span> reduction through the physiological forcing of stomatal closure, with 80% of the reduction being seen when stomatal closure was excluded and only radiative forcing by CO2 was included. The forest dieback exerts two positive feedbacks on the <span class="hlt">precipitation</span> reduction; a biogeophysical feedback through reduced forest cover suppressing local evaporative water recycling, and a biogeochemical feedback through the release of CO2 contributing to an accelerated <span class="hlt">global</span> warming. The <span class="hlt">precipitation</span> reduction is enhanced by 20% by the biogeophysical feedback, and 5% by the carbon cycle feedback from the forest dieback. This analysis helps to explain why the Amazonian <span class="hlt">precipitation</span> reduction simulated by HadCM3LC is more extreme than that simulated in other GCMs; in the fully-coupled, climate-carbon cycle simulation, approximately half of the <span class="hlt">precipitation</span> reduction in Amazonia is attributable to a combination of physiological forcing and biogeophysical and <span class="hlt">global</span> carbon cycle feedbacks, which are generally not included in other GCM simulations of future climate change. The analysis also demonstrates the potential contribution of regional-scale climate and ecosystem change to uncertainties in <span class="hlt">global</span> CO2 and climate change projections. Moreover, the importance of feedbacks suggests that a human-induced increase in forest vulnerability to climate change may have implications for regional and <span class="hlt">global</span> scale climate sensitivity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JHyd..558..405Q','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JHyd..558..405Q"><span>An ensemble-based dynamic Bayesian averaging approach for discharge simulations using multiple <span class="hlt">global</span> <span class="hlt">precipitation</span> products and hydrological models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Qi, Wei; Liu, Junguo; Yang, Hong; Sweetapple, Chris</p> <p>2018-03-01</p> <p><span class="hlt">Global</span> <span class="hlt">precipitation</span> products are very important datasets in flow simulations, especially in poorly gauged regions. Uncertainties resulting from <span class="hlt">precipitation</span> products, hydrological models and their combinations vary with time and data magnitude, and undermine their application to flow simulations. However, previous studies have not quantified these uncertainties individually and explicitly. This study developed an ensemble-based dynamic Bayesian averaging approach (e-Bay) for deterministic discharge simulations using multiple <span class="hlt">global</span> <span class="hlt">precipitation</span> products and hydrological models. In this approach, the joint probability of <span class="hlt">precipitation</span> products and hydrological models being correct is quantified based on uncertainties in maximum and mean estimation, posterior probability is quantified as functions of the magnitude and timing of discharges, and the law of total probability is implemented to calculate expected discharges. Six <span class="hlt">global</span> fine-resolution <span class="hlt">precipitation</span> products and two hydrological models of different complexities are included in an illustrative application. e-Bay can effectively quantify uncertainties and therefore generate better deterministic discharges than traditional approaches (weighted average methods with equal and varying weights and maximum likelihood approach). The mean Nash-Sutcliffe Efficiency values of e-Bay are up to 0.97 and 0.85 in training and validation periods respectively, which are at least 0.06 and 0.13 higher than traditional approaches. In addition, with increased training data, assessment criteria values of e-Bay show smaller fluctuations than traditional approaches and its performance becomes outstanding. The proposed e-Bay approach bridges the gap between <span class="hlt">global</span> <span class="hlt">precipitation</span> products and their pragmatic applications to discharge simulations, and is beneficial to water resources management in ungauged or poorly gauged regions across the world.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170000928','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170000928"><span>Uncertainty Assessment of the <span class="hlt">NASA</span> Earth Exchange <span class="hlt">Global</span> Daily Downscaled Climate Projections (NEX-GDDP) Dataset</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wang, Weile; Nemani, Ramakrishna R.; Michaelis, Andrew; Hashimoto, Hirofumi; Dungan, Jennifer L.; Thrasher, Bridget L.; Dixon, Keith W.</p> <p>2016-01-01</p> <p>The <span class="hlt">NASA</span> Earth Exchange <span class="hlt">Global</span> Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate projections that are derived from 21 General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) and across two of the four greenhouse gas emissions scenarios (RCP4.5 and RCP8.5). Each of the climate projections includes daily maximum temperature, minimum temperature, and <span class="hlt">precipitation</span> for the periods from 1950 through 2100 and the spatial resolution is 0.25 degrees (approximately 25 km x 25 km). The GDDP dataset has received warm welcome from the science community in conducting studies of climate change impacts at local to regional scales, but a comprehensive evaluation of its uncertainties is still missing. In this study, we apply the Perfect Model Experiment framework (Dixon et al. 2016) to quantify the key sources of uncertainties from the observational baseline dataset, the downscaling algorithm, and some intrinsic assumptions (e.g., the stationary assumption) inherent to the statistical downscaling techniques. We developed a set of metrics to evaluate downscaling errors resulted from bias-correction ("quantile-mapping"), spatial disaggregation, as well as the temporal-spatial non-stationarity of climate variability. Our results highlight the spatial disaggregation (or interpolation) errors, which dominate the overall uncertainties of the GDDP dataset, especially over heterogeneous and complex terrains (e.g., mountains and coastal area). In comparison, the temporal errors in the GDDP dataset tend to be more constrained. Our results also indicate that the downscaled daily <span class="hlt">precipitation</span> also has relatively larger uncertainties than the temperature fields, reflecting the rather stochastic nature of <span class="hlt">precipitation</span> in space. Therefore, our results provide insights in improving statistical downscaling algorithms and products in the future.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19970003063','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19970003063"><span>Validation of <span class="hlt">Global</span> Climatologies of Trace Gases Using <span class="hlt">NASA</span> <span class="hlt">Global</span> Tropospheric Experiment (GTE) Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Courchaine, Brian; Venable, Jessica C.</p> <p>1995-01-01</p> <p>Methane is an important trace gas because it is a greenhouse gas that affects the oxidative capacity of the atmosphere. It is produced from biological and anthropogenic sources, and is increasing <span class="hlt">globally</span> at a rate of approximately 0.6% per year [Climate Change 1992, IPCC]. By using National Oceanic and Atmospheric Administration/Climate Monitoring and Diagnostics Laboratory (NOAA/CMDL) ground station data, a <span class="hlt">global</span> climatology of methane values was produced. Unfortunately, because the NOAA/CMDL ground stations are so sparse, the <span class="hlt">global</span> climatology is low resolution. In order to compensate for this low resolution data, it was compared to in-situ flight data obtained from the <span class="hlt">NASA</span> <span class="hlt">Global</span> Tropospheric Experiment (GTE). The smoothed ground station data correlated well with the flight data. Thus, for the first time it is shown that the smoothing process used to make <span class="hlt">global</span> contours of methane using the ground stations is a plausible way to approximate <span class="hlt">global</span> atmospheric concentrations of the gas. These verified climatologies can be used for testing large-scale models of chemical production, destruction, and transport. This project develops the groundwork for further research in building <span class="hlt">global</span> climatologies from sparse ground station data and studying the transport and distribution of trace gases.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC33D1110K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC33D1110K"><span>Evaluation of <span class="hlt">Precipitation</span> Indices for <span class="hlt">Global</span> Crop Modeling and Definition of Drought Response Function to Yields</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kaneko, D.</p> <p>2017-12-01</p> <p>Climate change initiates abnormal meteorological disasters. Drought causes climate instability, thus producing poor harvests because of low rates of photosynthesis and sterile pollination. This research evaluates drought indices regarding <span class="hlt">precipitation</span> and includes this data in <span class="hlt">global</span> geophysical crop models that concern with evaporation, stomata opening, advection-effects from sea surface temperature anomalies, photosynthesis, carbon partitioning, crop yields, and crop production. Standard <span class="hlt">precipitation</span> index (SPI) is a useful tool because of related variable not used in the stomata model. However, SPI is not an adequate tool for drought in irrigated fields. Contrary to expectations, the <span class="hlt">global</span> comparisons of spatial characteristics between stomata opening/evapotranspiration and SPI for monitoring continental crop extremes produced serious defects and obvious differences between evapotranspiration and the small stomata-opening phenomena. The reason for this is that SPI does not include surface air temperature in its analysis. The Penman equation (Epen) describes potential evaporation better than SPI for recent hot droughts caused by climate change. However, the distribution of <span class="hlt">precipitation</span> is a necessary condition for crop monitoring because it affirms the trend of the dry results computed by crop models. Consequently, the author uses <span class="hlt">global</span> <span class="hlt">precipitation</span> data observed by microwave passive sensors on TRMM and GCOM-W satellites. This remote sensing data conveniently supplies spatial distributions of <span class="hlt">global</span> and seasonal <span class="hlt">precipitation</span>. The author has designed a model to measure the effects of drought on crop yield and the degree of stomata closure related to the photosynthesis rate. To determine yield effects, the drought injury function is defined by integrating stomata closure during the two seasons from flowering to pollination. The stomata, defined by ratio between Epen and Eac, reflect the effects of drought and irrigation. Stomata-closure model includes the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020054241&hterms=heating+global&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dheating%2Bglobal','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020054241&hterms=heating+global&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dheating%2Bglobal"><span>Understanding the <span class="hlt">Global</span> Water and Energy Cycle Through Assimilation of <span class="hlt">Precipitation</span>-Related Observations: Lessons from TRMM and Prospects for GPM</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur; Zhang, Sara; daSilva, Arlindo; Li, Frank; Atlas, Robert (Technical Monitor)</p> <p>2002-01-01</p> <p>Understanding the Earth's climate and how it responds to climate perturbations relies on what we know about how atmospheric moisture, clouds, latent heating, and the large-scale circulation vary with changing climatic conditions. The physical process that links these key climate elements is <span class="hlt">precipitation</span>. Improving the fidelity of <span class="hlt">precipitation</span>-related fields in <span class="hlt">global</span> analyses is essential for gaining a better understanding of the <span class="hlt">global</span> water and energy cycle. In recent years, research and operational use of <span class="hlt">precipitation</span> observations derived from microwave sensors such as the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager and Special Sensor Microwave/Imager (SSM/I) have shown the tremendous potential of using these data to improve <span class="hlt">global</span> modeling, data assimilation, and numerical weather prediction. We will give an overview of the benefits of assimilating TRMM and SSM/I rain rates and discuss developmental strategies for using space-based rainfall and rainfall-related observations to improve forecast models and climate datasets in preparation for the proposed multi-national <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20020080672','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20020080672"><span>Passive Microwave Studies of Atmospheric <span class="hlt">Precipitation</span> and State</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Staelin, David H.; Rosenkranz, Philip W.; Shiue, James C. (Technical Monitor)</p> <p>2002-01-01</p> <p>The principal contributions of this research on novel passive microwave spectral techniques are in the areas of: (1) <span class="hlt">global</span> <span class="hlt">precipitation</span> mapping using the opaque spectral bands on research and operational weather satellites, (2) development and analysis of extensive aircraft observational imaging data sets obtained using the MIT instrument NAST-M near 54 and 118 GHz over hurricanes and weather ranging from tropical to polar; simultaneous data from the 8500-channel infrared spectrometer NAST-I was obtained and analyzed separately, (3) estimation of hydrometeor diameters in cell tops using data from aircraft and spacecraft, (4) continued improvement of expressions for atmospheric transmittance at millimeter and sub-millimeter wavelengths, (5) development and airborne use of spectrometers operating near 183- and 425-GHz bands, appropriate to practical systems in geosynchronous orbit, and (6) preliminary studies of the design and performance of future geosynchronous microwave sounders for temperature and humidity profiles and for continuous monitoring of regional <span class="hlt">precipitation</span> through most clouds. This work was a natural extension of work under <span class="hlt">NASA</span> Grant NAG5-2545 and its predecessors. This earlier work had developed improved airborne imaging microwave spectrometers and had shown their sensitivity to <span class="hlt">precipitation</span> altitude and character. They also had prepared the foundations for <span class="hlt">precipitation</span> estimation using the opaque microwave bands. The field demonstration and improvement of these capabilities was then a central part of the present research reported here, during which period the first AMSU data became available and several hurricanes were overflown by NAST-M, yielding unique data about their microwave signatures. This present work has in turn helped lay the foundation for future progress in incorporating the opaque microwave channels in systems for climatologically precise <span class="hlt">global</span> <span class="hlt">precipitation</span> mapping from current and future operational satellites. Extension of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090001868&hterms=recent+scientific+discoveries&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Drecent%2Bscientific%2Bdiscoveries','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090001868&hterms=recent+scientific+discoveries&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Drecent%2Bscientific%2Bdiscoveries"><span>Current Scientific Progress and Future Scientific Prospects Enabled by Spaceborne <span class="hlt">Precipitation</span> Radar Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Smith, Eric A.; Im, Eastwood; Tripoli, Gregory J.; Yang, Song</p> <p>2008-01-01</p> <p>First, we examine current scientific progress and understanding that have been possible through use of spaceborne <span class="hlt">precipitation</span> radar measurements being provided by the TRMM and CloudSat satellites. Second, we look across a future 20-year time frame to assess how and why anticipated improvements in space radar systems will further advance scientific progress into topic areas once considered beyond the realm of space-based remote sensing. JAXA's 13.8 GHz Ku-band cross-track scanning <span class="hlt">Precipitation</span> Radar (PR) developed for flight on <span class="hlt">NASA</span>'s non-sun-synchronous, diurnally-precessing TRMM satellite, was the first Earth radar flown in space that was designed specifically for <span class="hlt">precipitation</span> measurement. Its proven accuracy in measuring <span class="hlt">global</span> rainfall in the tropics and sub-tropics and its unanticipated longevity in continuing these measurements beyond a full decade have established the standards against which all follow-up and future space radars will be evaluated. In regards to the current PR measurement time series, we will discuss a selection of major scientific discoveries and impacts which have set the stage for future radar measuring systems. In fact, the 2nd contemporary space radar applicable for terrestrial <span class="hlt">precipitation</span> measurement, i.e., JPL-CSA's 94 GHz nadir-staring Cloud Profiling Radar (CPR) flown on <span class="hlt">NASA</span>'s sun-synchronous CloudSat satellite, although designed primarily for measurement of non-<span class="hlt">precipitating</span> cloud hydrometeors and aerosols, has also unquestionably advanced <span class="hlt">precipitation</span> measurement because CPR's higher frequency and greatly increased sensitivity (approximately 30 dBZ) has enabled <span class="hlt">global</span> observations of light rain rate spectrum processes (i.e., rain rates below 0.05 mm per hourand of <span class="hlt">precipitation</span> processes in the high troposphere (particularly ice phase processes). These processes are beyond reach of the TRMM radar because the PR sensitivity limit is approximately 17 dBZ which means its lower rain rate cutoff is around 0.3 mm per hour and its</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_15");'>15</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li class="active"><span>17</span></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_17 --> <div id="page_18" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="341"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013PhDT.......168S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013PhDT.......168S"><span>Estimating the Response of Mid-latitude Orographic <span class="hlt">Precipitation</span> to <span class="hlt">Global</span> Warming</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shi, Xiaoming</p> <p></p> <p>The possible change in orographic <span class="hlt">precipitation</span> in response to <span class="hlt">global</span> warming is a rising concern under climate change, which could potentially cause significant societal impact. A general circulation model was employed to simulate the climate on an aquaplanet which has idealized mountains at its mid-latitudes. It was found that orographic <span class="hlt">precipitation</span> at northern mid-latitudes could increase by rates faster than the Clausius-Clapeyron scaling, ˜7%/K of surface warming, in doubling CO2 simulations, while at southern mid-latitudes orographic <span class="hlt">precipitation</span> decreased. The frequency of extreme events increased at all latitudes of the idealized mountains. Through a simple diagnostic model it was revealed that the changes in the climatological means of orographic <span class="hlt">precipitation</span> rates were mostly determined by the changes in three variables: the speed of the wind component perpendicular to a mountain, the vertical displacement of saturated parcels, and the moist adiabatic lapse rate of saturation specific humidity. The last variable had relatively uniform contribution to the total changes in orographic <span class="hlt">precipitation</span> across different latitudes, about 4 -- 5%/K. But contributions from the changes in wind speed and saturated vertical displacement were found to have strong north-south asymmetry, which were linked to the poleward shift of storm tracks. The changes in wind speed had positive contributions in general, with larger contributions at higher mid-latitudes. While the changes in saturated vertical displacement had negative contributions at all latitudes, but larger negative contributions were located at lower mid-latitudes. Although the poleward shift of storm tracks greatly affects regional <span class="hlt">precipitation</span>, following the poleward shift of storm tracks the cumulative distribution function (CDF) of <span class="hlt">precipitation</span> at the latitudes of maximum <span class="hlt">precipitation</span> in the control simulation is very similar to that in the warm climate simulation, except that <span class="hlt">precipitation</span> intensity</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19930012001','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19930012001"><span>Current and planned use of the Navstar <span class="hlt">Global</span> Positioning System by <span class="hlt">NASA</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Theiss, Harold L.</p> <p>1993-01-01</p> <p><span class="hlt">NASA</span> was quick to realize the potential that the <span class="hlt">Global</span> Positioning System (GPS) had to offer for its many diverse vehicles, experiments and platforms. Soon after the first Block 1 GPS satellites were launched, <span class="hlt">NASA</span> began to use the tremendous capabilities that they had to offer. Even with a partial GPS constellation in place, important results have been obtained about the shape, orientation and rotation of the earth and calibration of the ionosphere and troposphere. These calibrations enhance geophysical science and facilitate the navigation of interplanetary spacecraft. Some very important results have been obtained in the continuing <span class="hlt">NASA</span> program for aircraft terminal area operations. Currently, a large amount of activity is being concentrated on real time kinematic carrier phase tracking which has the potential to revolutionize aircraft navigation. This year marks the launch of the first GPS receiver equipped earth-orbiting <span class="hlt">NASA</span> spacecraft: the Extreme Ultraviolet Explorer and the Ocean Topography Experiment (TOPEX/Poseidon). This paper describes a cross section of GPS-based research at <span class="hlt">NASA</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014SpPol..30..149L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014SpPol..30..149L"><span>The <span class="hlt">Global</span> Exploration Roadmap and its significance for <span class="hlt">NASA</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Laurini, K. C.; Gerstenmaier, W. H.</p> <p>2014-08-01</p> <p>The <span class="hlt">Global</span> Exploration Roadmap reflects the collaborative effort of twelve space agencies to define a long-term human space exploration strategy which provides substantial benefits for improving the quality of life on Earth and is implementable and sustainable. Such a strategy is a necessary precondition to the government investments required to enable the challenging and rewarding missions that extend human presence into the solar system. The article introduces the international strategy and elaborates on <span class="hlt">NASA</span>'s leadership role in shaping that strategy. The publication of the roadmap, a reflection of the space landscape and multilateral agency-level dialog over the last four years, allows <span class="hlt">NASA</span> to demonstrate its commitment to leading a long-term space exploration endeavor that delivers benefits, maintains strategic human spaceflight capabilities and expands human presence in space, with human missions to the surface of Mars as a driving goal. The road mapping process has clearly demonstrated the complementary interests of the participants and the potential benefits that can be gained through cooperation among nations to achieve a common goal. The present US human spaceflight policy is examined and it is shown that the establishment of a sustainable <span class="hlt">global</span> space exploration strategy is fully consistent with that policy.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150022927','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150022927"><span>Late-Glacial to Late-holocene Shifts in <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Delta(sup 18)O</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jasechko, S.; Lechler, A.; Pausata, F.S.R.; Fawcett, P.J.; Gleeson, T.; Cendon, D.I.; Galewsky, J.; LeGrande, A. N.; Risi, C.; Sharp, Z. D.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20150022927'); toggleEditAbsImage('author_20150022927_show'); toggleEditAbsImage('author_20150022927_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20150022927_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20150022927_hide"></p> <p>2015-01-01</p> <p>Reconstructions of Quaternary climate are often based on the isotopic content of paleo-<span class="hlt">precipitation</span> preserved in proxy records. While many paleo-<span class="hlt">precipitation</span> isotope records are available, few studies have synthesized these dispersed records to explore spatial patterns of late-glacial <span class="hlt">precipitation</span> delta(sup 18)O. Here we present a synthesis of 86 <span class="hlt">globally</span> distributed groundwater (n 59), cave calcite (n 15) and ice core (n 12) isotope records spanning the late-glacial (defined as 50,000 to 20,000 years ago) to the late-Holocene (within the past 5000 years). We show that <span class="hlt">precipitation</span> delta(sup 18)O changes from the late-glacial to the late-Holocene range from -7.1% (delta(sup 18)O(late-Holocene) > delta(sup 18)O(late-glacial) to +1.7% (delta(sup 18)O(late-glacial) > delta(sup 18)O(late-Holocene), with the majority (77) of records having lower late-glacial delta(sup 18)O than late-Holocene delta(sup 18)O values. High-magnitude, negative <span class="hlt">precipitation</span> delta(sup 18)O shifts are common at high latitudes, high altitudes and continental interiors.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170002415','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170002415"><span>Enabling a Science Support Structure for <span class="hlt">NASAs</span> <span class="hlt">Global</span> Hawk UASs</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Sullivan, Donald V.</p> <p>2014-01-01</p> <p>In this paper we describe the information technologies developed by <span class="hlt">NASA</span> for the Winter/Spring 2013/2014, and Fall 2014, <span class="hlt">NASA</span> Earth Venture Campaigns, Hurricane and Severe Storm Sentinel (HS3) and Airborne Tropical TRopopause EXperiment (ATTREX). These campaigns utilized <span class="hlt">Global</span> Hawk UAS vehicles equipped at the <span class="hlt">NASA</span> Armstrong (previously Dryden) Flight Research Facility (AFRC), Edwards Air Force Base, California, and operated from there, the <span class="hlt">NASA</span> Wallops Flight Facility (WFF), Virginia, and Anderson Air Force Base (AAFB), Guam. Part of this enabling infrastructure utilized a layer 2 encrypted terrestrial Virtual Local Area Network (VLAN) that, at times, spanned greater than ten thousand miles (AAFB <-> AFRC <-> WFF) and was routed over geosynchronous Ku band communication Satellites directly to the aircraft sensor network. This infrastructure enabled seamless hand off between Satellites, and Satellite ground stations in Guam, California and Virginia, so allowing simultaneous Aircraft Command and Control and Science operations from remote locations. Additionally, we will describe the other elements of this infrastructure, from on-board geo-enabled databases, to real time communications directly from the instruments (in some cases, more than twelve were carried, and simultaneously operated, on one aircraft) to the researchers and other interested parties, world wide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AdAtS..32.1444W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AdAtS..32.1444W"><span>Air pollution or <span class="hlt">global</span> warming: Attribution of extreme <span class="hlt">precipitation</span> changes in eastern China—Comments on "Trends of extreme <span class="hlt">precipitation</span> in Eastern China and their possible causes"</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, Yuan</p> <p>2015-10-01</p> <p>The recent study "Trends of Extreme <span class="hlt">Precipitation</span> in Eastern China and Their Possible Causes" attributed the observed decrease/increase of light/heavy <span class="hlt">precipitation</span> in eastern China to <span class="hlt">global</span> warming rather than the regional aerosol effects. However, there exist compelling evidence from previous long-term observations and numerical modeling studies, suggesting that anthropogenic pollution is closely linked to the recent changes in <span class="hlt">precipitation</span> intensity because of considerably modulated cloud physical properties by aerosols in eastern China. Clearly, a quantitative assessment of the aerosol and greenhouse effects on the regional scale is required to identify the primary cause for the extreme <span class="hlt">precipitation</span> changes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.H51K1344C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.H51K1344C"><span>The South Fork Experimental Watershed: Soil moisture and <span class="hlt">precipitation</span> network for satellite validation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cosh, M. H.; Prueger, J. H.; McKee, L.; Bindlish, R.</p> <p>2013-12-01</p> <p>A recently deployed long term network for the study of soil moisture and <span class="hlt">precipitation</span> was deployed in north central iowa, in cooperation between USDA and <span class="hlt">NASA</span>. This site will be a joint calibration/validation network for the Soil Moisture Active Passive (SMAP) and <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) missions. At total of 20 dual gauge <span class="hlt">precipitation</span> gages were established across a watershed landscape with an area of approximately 600 km2. In addition, four soil moisture probes were installed in profile at 5, 10, 20, and 50 cm. The network was installed in April of 2013, at the initiation of the Iowa Flood Study (IFloodS) which was a six week intensive ground based radar observation period, conducted in coordination with <span class="hlt">NASA</span> and the University of Iowa. This site is a member watershed of the Group on Earth Observations Joint Experiments on Crop Assessment and Monitoring (GEO-JECAM) program. A variety of quality control procedures are examined and spatial and temporal stability aspects of the network are examined. Initial comparisons of the watershed to soil moisture estimates from satellites are also conducted.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.G33A1123D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.G33A1123D"><span><span class="hlt">NASA</span> <span class="hlt">Global</span> GNSS Network (GGN) Status and Plans</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Doelger, S.; Sklar, J.; Blume, F.; Meertens, C. M.; Mattioli, G. S.</p> <p>2015-12-01</p> <p>UNAVCO, in conjunction with JPL, is responsible for monitoring the 62 GNSS permanent stations, which include 88 GPS receivers, which comprise the <span class="hlt">NASA</span> <span class="hlt">Global</span> GNSS Network (GGN). These sites represent approximately 16% of the ~400 International GNSS Service (IGS) stations, and they provide a <span class="hlt">globally</span> distributed GNSS network to support <span class="hlt">NASA</span> operations and its commitments to GGOS. UNAVCO provides data flow monitoring, trouble-shooting, station installation, maintenance, as well as engineering services to improve the capabilities and performance of station infrastructure. Activities this past year include the installation of a geodetic quality wellhead monument for the new SEY2 station to replace SEY1, which is mounted on a UCSD seismic station in the Seychelles Islands. SEY1 will be removed soon to accommodate planned maintenance and upgrades by UCSD. Data from both SEY1 and SEY2 are being collected concurrently until maintenance begins. MRTG (Multi Router Traffic Grapher), a tool to aid in characterizing bandwidth usage and to identify communications problems, is now being used to monitor data throughput at 7 stations where VSAT or radio telemetry are used, including: ABPO; AREQ; FALK; GUAM; HARV; ISPA; QUIN; and STHL. Aging computers are being replaced with new hardware running Linux CentOS. These are semi-ruggedized low power solid-state systems built to endure challenging environments. With the aid of on-site collaborators, systems are now deployed at: FALK; CUSV; KELY; STHL; SANT; and ZAMB. Last, 4 new GPS stations were deployed for <span class="hlt">NASA</span>'s Space Geodesy Project (SGP); three of which (KOKF, KOKG, and KOKR) are located at Koke'e Park Geophysical Observatory on Kauai, Hawai'i, and HAL1 at the Haleakala observatory complex on Maui, Hawai'i. A campaign system was set up at Koke'e in order to sample data quality to determine if an additional station would be viable. Planning is ongoing for deployment of several new stations next year at McDonald Observatory (TX).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19900016655','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19900016655"><span><span class="hlt">Global</span> Sentry: <span class="hlt">NASA</span>/USRA high altitude reconnaissance aircraft design, volume 2</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Alexandru, Mona-Lisa; Martinez, Frank; Tsou, Jim; Do, Henry; Peters, Ashish; Chatsworth, Tom; Yu, YE; Dhillon, Jaskiran</p> <p>1990-01-01</p> <p>The <span class="hlt">Global</span> Sentry is a high altitude reconnaissance aircraft design for the <span class="hlt">NASA</span>/USRA design project. The <span class="hlt">Global</span> Sentry uses proven technologies, light-weight composites, and meets the R.F.P. requirements. The mission requirements for the <span class="hlt">Global</span> Sentry are described. The configuration option is discussed and a description of the final design is given. Preliminary sizing analyses and the mass properties of the design are presented. The aerodynamic features of the <span class="hlt">Global</span> Sentry are described along with the stability and control characteristics designed into the flight control system. The performance characteristics are discussed as is the propulsion installation and system layout. The <span class="hlt">Global</span> Sentry structural design is examined, including a wing structural analysis. The cockpit, controls and display layouts are covered. Manufacturing is covered and the life cost estimation. Reliability is discussed. Conclusions about the current <span class="hlt">Global</span> Sentry design are presented, along with suggested areas for future engineering work.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.A21K..01K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.A21K..01K"><span>Overview of <span class="hlt">NASA</span>'s Observations for <span class="hlt">Global</span> Air Quality</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kaye, J. A.</p> <p>2015-12-01</p> <p>Observations of pollutants are central to the study of air quality. Much focus has been placed on local-scale observations that can help specific geographic areas document their air quality issues, plan abatement strategies, and understand potential impacts. In addition, long-range atmospheric transport of pollutants can cause downwind regions to not meet attainment standards. Satellite observations have shed significant light on air quality from local to regional to <span class="hlt">global</span> scales, especially for pollutants such as ozone, aerosols, carbon monoxide, sulfur dioxide, and nitrogen dioxide. These observations have made use of multiple techniques and in some cases multiple satellite sensors. The satellite observations are complemented by surface observations, as well as atmospheric (in situ) observations typically made as part of focused airborne field campaigns. The synergy between satellite observations and field campaigns has been an important theme for recent and upcoming activities and plans. In this talk, a review of <span class="hlt">NASA</span>'s investments in observations relevant to <span class="hlt">global</span> air quality will be presented, with examples given for a range of pollutants and measurement approaches covering the last twenty-five years. These investments have helped build national and international collaborations such that the <span class="hlt">global</span> satellite community is now preparing to deploy a constellation of satellites that together will provide fundamental advances in <span class="hlt">global</span> observations for air quality.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110011613','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110011613"><span>Downscaling <span class="hlt">NASA</span> Climatological Data to Produce Detailed Climate Zone Maps</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chandler, William S.; Hoell, James M.; Westberg, David J.; Whitlock, Charles H.; Zhang, Taiping; Stackhouse, P. W.</p> <p>2011-01-01</p> <p>The design of energy efficient sustainable buildings is heavily dependent on accurate long-term and near real-time local weather data. To varying degrees the current meteorological networks over the globe have been used to provide these data albeit often from sites far removed from the desired location. The national need is for access to weather and solar resource data accurate enough to use to develop preliminary building designs within a short proposal time limit, usually within 60 days. The <span class="hlt">NASA</span> Prediction Of Worldwide Energy Resource (POWER) project was established by <span class="hlt">NASA</span> to provide industry friendly access to <span class="hlt">globally</span> distributed solar and meteorological data. As a result, the POWER web site (power.larc.<span class="hlt">nasa</span>.gov) now provides <span class="hlt">global</span> information on many renewable energy parameters and several buildings-related items but at a relatively coarse resolution. This paper describes a method of downscaling <span class="hlt">NASA</span> atmospheric assimilation model results to higher resolution and maps those parameters to produce building climate zone maps using estimates of temperature and <span class="hlt">precipitation</span>. The distribution of climate zones for North America with an emphasis on the Pacific Northwest for just one year shows very good correspondence to the currently defined distribution. The method has the potential to provide a consistent procedure for deriving climate zone information on a <span class="hlt">global</span> basis that can be assessed for variability and updated more regularly.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160009268','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160009268"><span>Monitoring Drought Conditions in the Navajo Nation Using <span class="hlt">NASA</span> Earth Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ly, Vickie; Gao, Michael; Cary, Cheryl; Turnbull-Appell, Sophie; Surunis, Anton</p> <p>2016-01-01</p> <p>The Navajo Nation, a 65,700 sq km Native American territory located in the southwestern United States, has been increasingly impacted by severe drought events and changes in climate. These events are coupled with a lack of domestic water infrastructure and economic resources, leaving approximately one-third of the population without access to potable water in their homes. Current methods of monitoring drought are dependent on state-based monthly Standardized <span class="hlt">Precipitation</span> Index value maps calculated by the Western Regional Climate Center. However, these maps do not provide the spatial resolution needed to illustrate differences in drought severity across the vast Nation. To better understand and monitor drought events and drought regime changes in the Navajo Nation, this project created a geodatabase of historical climate information specific to the area, and a decision support tool to calculate average Standardized <span class="hlt">Precipitation</span> Index values for user-specified areas. The tool and geodatabase use Tropical Rainfall Monitoring Mission (TRMM) and <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Monitor (GPM) observed <span class="hlt">precipitation</span> data and Parameter-elevation Relationships on Independent Slopes Model modeled historical <span class="hlt">precipitation</span> data, as well as <span class="hlt">NASA</span>'s modeled Land Data Assimilation Systems deep soil moisture, evaporation, and transpiration data products. The geodatabase and decision support tool will allow resource managers in the Navajo Nation to utilize current and future <span class="hlt">NASA</span> Earth observation data for increased decision-making capacity regarding future climate change impact on water resources.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20030025294','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030025294"><span><span class="hlt">NASA</span>'s Sentinels Monitoring Weather and Climate: Past, Present, and Future</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Shepherd, J. Marshall; Herring, David; Gutro, Rob; Huffman, George; Halverson, Jeff</p> <p>2002-01-01</p> <p>Weatherwise is probably the most popular newstand magazine focusing on the subject of weather. It is published six times per year and includes features on weather, climate, and technology. This article (to appear in the January/February Issue) provides a comprehensive review of <span class="hlt">NASA</span> s past, present, and future contributions in satellite remote sensing for weather and climate processes. The article spans the historical strides of the TIROS program through the scientific and technological innovation of Earth Observer-3 and <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM). It is one of the most thorough reviews of <span class="hlt">NASA</span> s weather and climate satellite efforts to appear in the popular literature.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015GeoRL..4210316S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015GeoRL..4210316S"><span><span class="hlt">Precipitation</span> and floodiness</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stephens, E.; Day, J. J.; Pappenberger, F.; Cloke, H.</p> <p>2015-12-01</p> <p>There are a number of factors that lead to nonlinearity between <span class="hlt">precipitation</span> anomalies and flood hazard; this nonlinearity is a pertinent issue for applications that use a <span class="hlt">precipitation</span> forecast as a proxy for imminent flood hazard. We assessed the degree of this nonlinearity for the first time using a recently developed <span class="hlt">global</span>-scale hydrological model driven by the ERA-Interim/Land <span class="hlt">precipitation</span> reanalysis (1980-2010). We introduced new indices to assess large-scale flood hazard, or floodiness, and quantified the link between monthly <span class="hlt">precipitation</span>, river discharge, and floodiness anomalies at the <span class="hlt">global</span> and regional scales. The results show that monthly floodiness is not well correlated with <span class="hlt">precipitation</span>, therefore demonstrating the value of hydrometeorological systems for providing floodiness forecasts for decision-makers. A method is described for forecasting floodiness using the <span class="hlt">Global</span> Flood Awareness System, building a climatology of regional floodiness from which to forecast floodiness anomalies out to 2 weeks.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004SPIE.5570..145N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004SPIE.5570..145N"><span><span class="hlt">NASA</span>'s future Earth observation plans</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neeck, Steven P.; Paules, Granville E.; McCuistion Ramesh, J. D.</p> <p>2004-11-01</p> <p><span class="hlt">NASA</span>'s Science Mission Directorate, working with its domestic and international partners, provides accurate, objective scientific data and analysis to advance our understanding of Earth system processes. Learning more about these processes will enable improved prediction capability for climate, weather, and natural hazards. Earth interactions occur on a continuum of spatial and temporal scales ranging from short-term weather to long-term climate, and from local and regional to <span class="hlt">global</span>. Quantitatively describing these changes means precisely measuring from space scores of biological and geophysical parameters <span class="hlt">globally</span>. New missions that SMD will launch in the coming decade will complement the first series of the Earth Observing System. These next generation systematic measurement missions are being planned to extend or enhance the record of science-quality data necessary for understanding and predicting <span class="hlt">global</span> change. These missions include the NPOESS Preparatory Project, Ocean Surface Topography Mission, <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement, Landsat Data Continuity Mission, and an aerosol polarimetry mission called Glory. New small explorer missions will make first of a kind Earth observations. The Orbiting Carbon Observatory will measure sources and sinks of carbon to help the Nation and the world formulate effective strategies to constrain the amount of this greenhouse gas in the atmosphere. Aquarius will measure ocean surface salinity which is key to ocean circulation in the North Atlantic that produces the current era's mild climate in northern Europe. HYDROS will measure soil moisture <span class="hlt">globally</span>. Soil moisture is critical to agriculture and to managing fresh water resources. <span class="hlt">NASA</span> continues to design, develop and launch the Nation's civilian operational environmental satellites, in both polar and geostationary orbits, by agreement with the National Oceanic and Atmospheric Administration (NOAA). <span class="hlt">NASA</span> plans to develop an advanced atmospheric sounder, GIFTS, for</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H21E1513W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H21E1513W"><span>A Vertical Census of <span class="hlt">Precipitation</span> Characteristics using Ground-based Dual-polarimetric Radar Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wolff, D. B.; Petersen, W. A.; Marks, D. A.; Pippitt, J. L.; Tokay, A.; Gatlin, P. N.</p> <p>2017-12-01</p> <p>Characterization of the vertical structure/variability of <span class="hlt">precipitation</span> and resultant microphysics is critical in providing physical validation of space-based <span class="hlt">precipitation</span> retrievals. In support of <span class="hlt">NASAs</span> <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission Ground Validation (GV) program, <span class="hlt">NASA</span> has invested in a state-of-art dual-polarimetric radar known as NPOL. NPOL is routinely deployed on the Delmarva Peninsula in support of <span class="hlt">NASAs</span> GPM <span class="hlt">Precipitation</span> Research Facility (PRF). NPOL has also served as the backbone of several GPM field campaigns in Oklahoma, Iowa, South Carolina and most recently in the Olympic Mountains in Washington state. When <span class="hlt">precipitation</span> is present, NPOL obtains very high-resolution vertical profiles of radar observations (e.g. reflectivity (ZH) and differential reflectivity (ZDR)), from which important particle size distribution parameters are retrieved such as the mass-weight mean diameter (Dm) and the intercept parameter (Nw). These data are then averaged horizontally to match the nadir resolution of the dual-frequency radar (DPR; 5 km) on board the GPM satellite. The GPM DPR, Combined, and radiometer algorithms (such as GPROF) rely on functional relationships built from assumed parametric relationships and/or retrieved parameter profiles and spatial distributions of particle size (PSD), water content, and hydrometeor phase within a given sample volume. Thus, the NPOL-retrieved profiles provide an excellent tool for characterization of the vertical profile structure and variability during GPM overpasses. In this study, we will use many such overpass comparisons to quantify an estimate of the true sub-IFOV variability as a function of hydrometeor and rain type (convective or stratiform). This presentation will discuss the development of a relational database to help provide a census of the vertical structure of <span class="hlt">precipitation</span> via analysis and correlation of reflectivity, differential reflectivity, mean-weight drop diameter and the normalized</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120008256','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120008256"><span>Online Assessment of Satellite-Derived <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Products</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Liu, Zhong; Ostrenga, D.; Teng, W.; Kempler, S.</p> <p>2012-01-01</p> <p> inter-comparing both versions of TRMM products in their areas of interest. Making this service available to users will help them to better understand associated changes. We plan to implement this inter-comparison in TRMM standard monthly products with the IPWG algorithms. The plans outlined above will complement and accelerate the existing and ongoing validation activities in the community as well as enhance data services for TRMM and the future <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001082.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001082.html"><span>The Making of <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Selfie: 100+ Countries, Thousands of Photos</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-05-22</p> <p>The 3.2 gigapixel <span class="hlt">Global</span> Selfie mosaic, hosted by GigaPan, was made with 36,422 individual images that were posted to social media sites on or around Earth Day, April 22, 2014. Zoom in and find yours here: 1.usa.gov/SnR7ki Credit: <span class="hlt">NASA</span> The 3.2 gigapixel <span class="hlt">Global</span> Selfie mosaic, hosted by GigaPan, was made with 36,422 individual images that were posted to social media sites on or around Earth Day, April 22, 2014. Zoom in and find yours here: 1.usa.gov/SnR7ki</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160005285','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160005285"><span>Laser Pulse Production for <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Ecosystem Dynamics Investigation (GEDI) Lidar</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stysley, Paul R.; Coyle, D. Barry; Clarke, Greg B.; Frese, Erich; Blalock, Gordon; Morey, Peter; Kay, Richard B.; Poulios, Demetrios; Hersh, Michael</p> <p>2016-01-01</p> <p>The Lasers and Electro-Optics Branch at Goddard Space Flight Center has been tasked with building the Lasers for the <span class="hlt">Global</span> Ecosystems Dynamics Investigation (GEDI) Lidar Mission, to be installed on the Japanese Experiment Module (JEM) on the International Space Station (ISS)1. GEDI will use three <span class="hlt">NASA</span>-developed lasers, each coupled with a Beam Dithering Unit (BDU) to produce three sets of staggered footprints on the Earth's surface to accurately measure <span class="hlt">global</span> biomass. We will report on the design, assembly progress, test results, and delivery process of this laser system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160005237','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160005237"><span>Laser Pulse Production for <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Ecosystem Dynamics Investigation (GEDI) Lidar</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stysley, Paul R.; Coyle, D. Barry; Clarke, Greg B.; Frese, Erich; Blalock, Gordon; Morey, Peter; Kay, Richard B.; Poulios, Demetrios; Hersh, Michael</p> <p>2016-01-01</p> <p>The Lasers and Electro-Optics Branch at Goddard Space Flight Center has been tasked with building the Lasers for the <span class="hlt">Global</span> Ecosystems Dynamics Investigation (GEDI) Lidar Mission, to be installed on the Japanese Experiment Module (JEM) on the International Space Station (ISS). GEDI will use three <span class="hlt">NASA</span>-developed lasers, each coupled with a Beam Dithering Unit (BDU) to produce three sets of staggered footprints on the Earth's surface to accurately measure <span class="hlt">global</span> biomass. We will report on the design, assembly progress, test results, and delivery process of this laser system.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_16");'>16</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li class="active"><span>18</span></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_18 --> <div id="page_19" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="361"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMNH52A..02S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMNH52A..02S"><span>Satellite-based Monitoring of <span class="hlt">global</span> <span class="hlt">Precipitation</span> using the PERSIANN system: from Weather- to Climate-scales with some application examples</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Switzer, A.; Yap, W.; Lauro, F.; Gouramanis, C.; Dominey-Howes, D.; Labbate, M.</p> <p>2016-12-01</p> <p>This presentation provides an overview of the PERSIANN <span class="hlt">precipitation</span> products from the near real time high-resolution (4km, 30 min) PERSIANN-CCS to the most recent 34+-year PERSIANN-CDR (25km, daily). It is widely believed that the hydrologic cycle has been intensifying due to <span class="hlt">global</span> warming and the frequency and the intensity of hydrologic extremes has also been increasing. Using the long-term historical <span class="hlt">global</span> high resolution (daily, 0.25 degree) PERSIANN-CDR dataset covering over three decades from 1983 to the present day, we assess changes in <span class="hlt">global</span> <span class="hlt">precipitation</span> across different spatial scales. Our results show differences in trends, depending on which spatial scale is used, highlighting the importance of spatial scale in trend analysis. In addition, while there is an easily observable increasing <span class="hlt">global</span> temperature trend, the <span class="hlt">global</span> <span class="hlt">precipitation</span> trend results created by the PERSIANN-CDR dataset used in this study are inconclusive. In addition, we use PERSIANN-CDR to assess the performance of the 32 CMIP5 models in terms of extreme <span class="hlt">precipitation</span> indices in various continent-climate zones. The assessment can provide a guide for both model developers to target regions and processes that are not yet fully captured in certain climate types, and for climate model output users to be able to select the models and/or the study areas that may best fit their applications of interest.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH52A..02S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH52A..02S"><span>Satellite-based Monitoring of <span class="hlt">global</span> <span class="hlt">Precipitation</span> using the PERSIANN system: from Weather- to Climate-scales with some application examples</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sorooshian, S.; Nguyen, P.; Hsu, K. L.</p> <p>2017-12-01</p> <p>This presentation provides an overview of the PERSIANN <span class="hlt">precipitation</span> products from the near real time high-resolution (4km, 30 min) PERSIANN-CCS to the most recent 34+-year PERSIANN-CDR (25km, daily). It is widely believed that the hydrologic cycle has been intensifying due to <span class="hlt">global</span> warming and the frequency and the intensity of hydrologic extremes has also been increasing. Using the long-term historical <span class="hlt">global</span> high resolution (daily, 0.25 degree) PERSIANN-CDR dataset covering over three decades from 1983 to the present day, we assess changes in <span class="hlt">global</span> <span class="hlt">precipitation</span> across different spatial scales. Our results show differences in trends, depending on which spatial scale is used, highlighting the importance of spatial scale in trend analysis. In addition, while there is an easily observable increasing <span class="hlt">global</span> temperature trend, the <span class="hlt">global</span> <span class="hlt">precipitation</span> trend results created by the PERSIANN-CDR dataset used in this study are inconclusive. In addition, we use PERSIANN-CDR to assess the performance of the 32 CMIP5 models in terms of extreme <span class="hlt">precipitation</span> indices in various continent-climate zones. The assessment can provide a guide for both model developers to target regions and processes that are not yet fully captured in certain climate types, and for climate model output users to be able to select the models and/or the study areas that may best fit their applications of interest.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC41B1096J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC41B1096J"><span>The Impact of Desert Dust Aerosol Radiative Forcing on <span class="hlt">Global</span> and West African <span class="hlt">Precipitation</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jordan, A.; Zaitchik, B. F.; Gnanadesikan, A.; Dezfuli, A. K.</p> <p>2015-12-01</p> <p>Desert dust aerosols exert a radiative forcing on the atmosphere, influencing atmospheric temperature structure and modifying radiative fluxes at the top of the atmosphere (TOA) and surface. As dust aerosols perturb radiative fluxes, the atmosphere responds by altering both energy and moisture dynamics, with potentially significant impacts on regional and <span class="hlt">global</span> <span class="hlt">precipitation</span>. <span class="hlt">Global</span> Climate Model (GCM) experiments designed to characterize these processes have yielded a wide range of results, owing to both the complex nature of the system and diverse differences across models. Most model results show a general decrease in <span class="hlt">global</span> <span class="hlt">precipitation</span>, but regional results vary. Here, we compare simulations from GFDL's CM2Mc GCM with multiple other model experiments from the literature in order to investigate mechanisms of radiative impact and reasons for GCM differences on a <span class="hlt">global</span> and regional scale. We focus on West Africa, a region of high interannual rainfall variability that is a source of dust and that neighbors major Sahara Desert dust sources. As such, changes in West African climate due to radiative forcing of desert dust aerosol have serious implications for desertification feedbacks. Our CM2Mc results show net cooling of the planet at TOA and surface, net warming of the atmosphere, and significant increases in <span class="hlt">precipitation</span> over West Africa during the summer rainy season. These results differ from some previous GCM studies, prompting comparative analysis of desert dust parameters across models. This presentation will offer quantitative analysis of differences in dust aerosol parameters, aerosol optical properties, and overall particle burden across GCMs, and will characterize the contribution of model differences to the uncertainty of forcing and climate response affecting West Africa.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H51H1611M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H51H1611M"><span>Correlating GRACE with Standardized <span class="hlt">Precipitation</span> Indices and <span class="hlt">Precipitation</span> Gauges for the High Plains Aquifer</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Miller, K. A.; Clancy, K.</p> <p>2016-12-01</p> <p>The <span class="hlt">NASA</span> and German Aerospace Center Gravity Recovery and Climate Experiment (GRACE) detects monthly changes in the gravity of the earth assumed to be water storage using the distance between two satellites, GRACE A and GRACE B, as a phase change. We will use level 3 GRACE Tellus data from the <span class="hlt">NASA</span> Jet Propulsion Laboratory Physical Oceanography Distributed Active Archive Center (PO.DAAC). The data have a resolution of 9 km2 and are available for 2002 to 2015. We examine GRACE data for the High Plains aquifer (Texas, Oklahoma, Wyoming, Nebraska, Kansas, New Mexico, Colorado and South Dakota) and compare changes to monthly averaged <span class="hlt">precipitation</span> gauges, standardized <span class="hlt">precipitation</span> indices for one, three, six, and twelve-months. We hypothesize that GRACE data will correlate best with 1) three-month standardized <span class="hlt">precipitation</span> indices; 2) regions with natural land cover; 3) and in years where <span class="hlt">precipitation</span> is at or above average.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000080273&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000080273&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM"><span>Improving <span class="hlt">Global</span> Reanalyses and Short Range Forecast Using TRMM and SSM/I-Derived <span class="hlt">Precipitation</span> and Moisture Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur Y.; Zhang, Sara Q.; deSilva, Arlindo M.</p> <p>2000-01-01</p> <p><span class="hlt">Global</span> reanalyses currently contain significant errors in the primary fields of the hydrological cycle such as <span class="hlt">precipitation</span>, evaporation, moisture, and the related cloud fields, especially in the tropics. The Data Assimilation Office (DAO) at the <span class="hlt">NASA</span> Goddard Space Flight Center has been exploring the use of tropical rainfall and total <span class="hlt">precipitable</span> water (TPW) observations from the TRMM Microwave Imager (TMI) and the Special Sensor Microwave/ Imager (SSM/I) instruments to improve short-range forecast and reanalyses. We describe a "1+1"D procedure for assimilating 6-hr averaged rainfall and TPW in the Goddard Earth Observing System (GEOS) Data Assimilation System (DAS). The algorithm is based on a 6-hr time integration of a column version of the GEOS DAS, hence the "1+1"D designation. The scheme minimizes the least-square differences between the observed TPW and rain rates and those produced by the column model over the 6-hr analysis window. This 1+lD scheme, in its generalization to four dimensions, is related to the standard 4D variational assimilation but uses analysis increments instead of the initial condition as the control variable. Results show that assimilating the TMI and SSM/I rainfall and TPW observations improves not only the <span class="hlt">precipitation</span> and moisture fields but also key climate parameters such as clouds, the radiation, the upper-tropospheric moisture, and the large-scale circulation in the tropics. In particular, assimilating these data reduce the state-dependent systematic errors in the assimilated products. The improved analysis also provides better initial conditions for short-range forecasts, but the improvements in forecast are less than improvements in the time-averaged assimilation fields, indicating that using these data types is effective in correcting biases and other errors of the forecast model in data assimilation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000027511&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000027511&hterms=SSM&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DSSM"><span>Improving <span class="hlt">Global</span> Reanalyses and Short-Range Forecast Using TRMM and SSM/I-Derived <span class="hlt">Precipitation</span> and Moisture Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hou, Arthur Y.; Zhang, Sara Q.; daSilva, Arlindo M.</p> <p>1999-01-01</p> <p><span class="hlt">Global</span> reanalyses currently contain significant errors in the primary fields of the hydrological cycle such as <span class="hlt">precipitation</span>, evaporation, moisture, and the related cloud fields, especially in the tropics. The Data Assimilation Office (DAO) at the <span class="hlt">NASA</span> Goddard Space Flight Center has been exploring the use of tropical rainfall and total <span class="hlt">precipitable</span> water (TPW) observations from the TRMM Microwave Imager (TMI) and the Special Sensor Microwave/ Imager (SSM/I) instruments to improve short-range forecast and reanalyses. We describe a 1+1D procedure for assimilating 6-hr averaged rainfall and TPW in the Goddard Earth Observing System (GEOS) Data Assimilation System (DAS). The algorithm is based on a 6-hr time integration of a column version of the GEOS DAS, hence the 1+1D designation. The scheme minimizes the least-square differences between the observed TPW and rain rates and those produced by the column model over the 6-hr analysis window. This 1+1D scheme, in its generalization to four dimensions, is related to the standard 4D variational assimilation but uses analysis increments instead of the initial condition as the control variable. Results show that assimilating the TMI and SSW rainfall and TPW observations improves not only the <span class="hlt">precipitation</span> and moisture fields but also key climate parameters such as clouds, the radiation, the upper-tropospheric moisture, and the large-scale circulation in the tropics. In particular, assimilating these data reduce the state-dependent systematic errors in the assimilated products. The improved analysis also provides better initial conditions for short-range forecasts, but the improvements in forecast are less than improvements in the time-averaged assimilation fields, indicating that using these data types is effective in correcting biases and other errors of the forecast model in data assimilation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=NASA&pg=5&id=EJ762438','ERIC'); return false;" href="https://eric.ed.gov/?q=NASA&pg=5&id=EJ762438"><span><span class="hlt">NASA</span> LIVE Creating a <span class="hlt">Global</span> Classroom</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Townes-Young, Katrina L.; Ewing, Virginia R.</p> <p>2005-01-01</p> <p>This article describes <span class="hlt">NASA</span> LIVE (Learning through Interactive Videoconferencing Experiences), a free series of videoconferencing programs produced by <span class="hlt">NASA</span>'s Langley Center for Distance Learning in Hampton, Virginia. <span class="hlt">NASA</span> LIVE is designed for K-12 educators and students, allowing teachers and students to interact with <span class="hlt">NASA</span> experts in a virtual…</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013EGUGA..1512581R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013EGUGA..1512581R"><span><span class="hlt">NASA</span>/JPL CLIMATE DAY: Middle and High School Students Get the Facts about <span class="hlt">Global</span> Climate Change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Richardson, Annie; Callery, Susan; Srinivasan, Margaret</p> <p>2013-04-01</p> <p>In 2007, <span class="hlt">NASA</span> Headquarters requested that Earth Science outreach teams brainstorm new education and public outreach activities that would focus on the topic of <span class="hlt">global</span> climate change. At the Jet Propulsion Laboratory (JPL), Annie Richardson, outreach lead for the Ocean Surface Topography missions came up with the idea of a "Climate Day", capitalizing on the popular Earth Day name and events held annually throughout the world. JPL Climate Day would be an education and public outreach event whose objectives are to provide the latest scientific facts about <span class="hlt">global</span> climate change - including the role the ocean plays in it, the contributions that <span class="hlt">NASA</span>/JPL satellites and scientists make to the body of knowledge on the topic, and what we as individuals can do to promote <span class="hlt">global</span> sustainability. The primary goal is that participants get this information in a fun and exciting environment, and walk away feeling empowered and capable of confidently engaging in the <span class="hlt">global</span> climate debate. In March 2008, JPL and its partners held the first Climate Day event. 950 students from seven school districts heard from five scientists; visited exhibits, and participated in hands-on-activities. Pleased with the outcome, we organized JPL Climate Day 2010 at the Pasadena Convention Center in Pasadena, California, reaching more than 1700 students, teachers, and members of the general public over two days. Taking note of this successful model, <span class="hlt">NASA</span> funded a multi-center, <span class="hlt">NASA</span> Climate Day proposal in 2010 to expand Climate Day nation-wide. The <span class="hlt">NASA</span> Climate Day proposal is a three-pronged project consisting of a cadre of Earth Ambassadors selected from among <span class="hlt">NASA</span>-affiliated informal educators; a "Climate Day Kit" consisting of climate-related electronic resources available to the Earth Ambassadors; and <span class="hlt">NASA</span> Climate Day events to be held in Earth Ambassador communities across the United States. <span class="hlt">NASA</span>/JPL continues to host the original Climate Day event and in 2012 held its 4th event, at the Pasadena</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100014868&hterms=example+study+applied+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dexample%2Bstudy%2Bapplied%2Bresearch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100014868&hterms=example+study+applied+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dexample%2Bstudy%2Bapplied%2Bresearch"><span>Using Multi-Scale Modeling Systems to Study the <span class="hlt">Precipitation</span> Processes</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tao, Wei-Kuo</p> <p>2010-01-01</p> <p>In recent years, exponentially increasing computer power has extended Cloud Resolving Model (CRM) integrations from hours to months, the number of computational grid points from less than a thousand to close to ten million. Three-dimensional models are now more prevalent. Much attention is devoted to <span class="hlt">precipitating</span> cloud systems where the crucial 1-km scales are resolved in horizontal domains as large as 10,000 km in two-dimensions, and 1,000 x 1,000 km2 in three-dimensions. Cloud resolving models now provide statistical information useful for developing more realistic physically based parameterizations for climate models and numerical weather prediction models. It is also expected that NWP and mesoscale model can be run in grid size similar to cloud resolving model through nesting technique. Recently, a multi-scale modeling system with unified physics was developed at <span class="hlt">NASA</span> Goddard. It consists of (1) a cloud-resolving model (Goddard Cumulus Ensemble model, GCE model), (2) a regional scale model (a <span class="hlt">NASA</span> unified weather research and forecast, WRF), (3) a coupled CRM and <span class="hlt">global</span> model (Goddard Multi-scale Modeling Framework, MMF), and (4) a land modeling system. The same microphysical processes, long and short wave radiative transfer and land processes and the explicit cloud-radiation, and cloud-land surface interactive processes are applied in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator to use <span class="hlt">NASA</span> high-resolution satellite data to identify the strengths and weaknesses of cloud and <span class="hlt">precipitation</span> processes simulated by the model. In this talk, a review of developments and applications of the multi-scale modeling system will be presented. In particular, the results from using multi-scale modeling system to study the interactions between clouds, <span class="hlt">precipitation</span>, and aerosols will be presented. Also how to use of the multi-satellite simulator to improve <span class="hlt">precipitation</span> processes will be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030053417&hterms=information+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dinformation%2Banalysis','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030053417&hterms=information+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dinformation%2Banalysis"><span>Use of TRMM Rainfall Information in Improving Long-Term, Satellite-Based <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Analyses</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Starr, David OC. (Technical Monitor); Adler, Robert F.; Huffman, George; Curtis, Scott; Bolvin, David; Nelkin, Eric</p> <p>2002-01-01</p> <p>The TRMM rainfall products are inter-compared among themselves and to the 23 year, monthly, <span class="hlt">globally</span> complete <span class="hlt">precipitation</span> analysis of the World Climate Research Program's (WCRP/ GEWEX) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). Ways in which the TRMM-based estimates can be used to improve the long-term data set are described. These include improvement of the passive microwave algorithm that is applied to the 15 year SSM/I record and calibration or adjustment of the current GPCP fields utilizing the 4-5 year overlap of TRMM and GPCP. A comparison of the GPCP monthly surface <span class="hlt">precipitation</span> fields and the TRMM-based multi-satellite analyses indicates that the two are similar, but have significant differences that relate to the different input data sets. Although on a zonal average basis over the ocean the two analyses are similar in the deep Tropics, there are subtle differences between the eastern and western Pacific Ocean in the relative magnitudes. In mid-latitudes the GPCP has somewhat larger mean <span class="hlt">precipitation</span> than TRMM. Statistical comparisons of TRMM and GPCP monthly fields are carried out in terms of histogram matching for both ocean and land regions and for small areas to diagnose differences. These comparisons form the basis for a TRMM calibration of the GPCP fields using matched histograms over regional areas as a function of season. Although final application of this procedure will likely await the Version 6 of the TRMM products, tests using Version 5 are shown that provide a TRMM-calibrated GPCP version that will produce an improved climatology and a more accurate month-to-month <span class="hlt">precipitation</span> analysis for the last 20 years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H23F1633W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H23F1633W"><span>Comparison of satellite <span class="hlt">precipitation</span> products with Q3 over the CONUS</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, J.; Petersen, W. A.; Wolff, D. B.; Kirstetter, P. E.</p> <p>2016-12-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) is an international satellite mission that provides a new-generation of <span class="hlt">global</span> <span class="hlt">precipitation</span> observations. A wealth of <span class="hlt">precipitation</span> products have been generated since the launch of the GPM Core Observatory in February of 2014. However, the accuracy of the satellite-based <span class="hlt">precipitation</span> products is affected by discrete temporal sampling and remote spaceborne retrieval algorithms. The GPM Ground Validation (GV) program is currently underway to independently verify the satellite <span class="hlt">precipitation</span> products, which can be carried out by comparing satellite products with ground measurements. This study compares four Day-1 GPM surface <span class="hlt">precipitation</span> products derived from the GPM Microwave Imager (GMI), Ku-band <span class="hlt">Precipitation</span> Radar (KU), Dual-Frequency <span class="hlt">Precipitation</span> Radar (DPR) and DPR-GMI CoMBined (CMB) algorithms, as well as the near-real-time Integrated Multi-satellitE Retrievals for GPM (IMERG) Late Run product and <span class="hlt">precipitation</span> retrievals from Microwave Humidity Sounders (MHS) flown on NOAA and METOPS satellites, with the NOAA Multi-Radar Multi-Sensor suite (MRMS; now called "Q3"). The comparisons are conducted over the conterminous United States (CONUS) at various spatial and temporal scales with respect to different <span class="hlt">precipitation</span> intensities, and filtered with radar quality index (RQI) thresholds and <span class="hlt">precipitation</span> types. Various versions of GPM products are evaluated against Q3. The latest Version-04A GPM products are in reasonably good overall agreement with Q3. Based on the mission-to-date (March 2014 - May 2016) data from all GPM overpasses, the biases relative to Q3 for GMI and DPR <span class="hlt">precipitation</span> estimates at 0.5o resolution are negative, whereas the biases for CMB and KU <span class="hlt">precipitation</span> estimates are positive. Based on all available data (March 2015 - April 2016 at this writing), the CONUS-averaged near-real-time IMERG Late Run hourly <span class="hlt">precipitation</span> estimate is about 46% higher than Q3. Preliminary comparison of 1-year (2015) MHS</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC43F1134L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC43F1134L"><span>How much might additional half a degree from a <span class="hlt">global</span> warming of 1.5°C affects the extreme <span class="hlt">precipitation</span> change in China?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Li, W.; Jiang, Z.</p> <p>2017-12-01</p> <p>In order to strengthen the <span class="hlt">global</span> respond to the dangerous of <span class="hlt">global</span> warming, Paris Agreement sets out two long-term warming goals: limiting <span class="hlt">global</span> warming to well below 2˚C and purse effort to below 1.5˚C above pre-industrial levels. However, future climate change risks in those two warming targets show significant regional differences. This article aims to study the intensity and frequency of extreme <span class="hlt">precipitation</span> change over China under those two <span class="hlt">global</span> warming targets by using CMIP5 models under RCP4.5 and RCP8.5 scenario. Focus is put on the effects of the additional half degree in changing the extreme <span class="hlt">precipitation</span>. Results show that the changes of extreme <span class="hlt">precipitation</span> are independent of the RCP scenarios when <span class="hlt">global</span> warming reaches the same threshold. Intensity of extreme <span class="hlt">precipitation</span> averaged over China increase by around 6% and 11% when <span class="hlt">global</span> warming reaches 1.5˚C and 2˚C, respectively. The additional half a degree increase makes the intensity of extreme <span class="hlt">precipitation</span> averaged over China to increase by 4.5%, which translates to an increase close to the Clausius-Clapeyron scaling. Return period decreases by 5 years for the extra half degree warming when the 20-year return values are considered at the reference level.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1412863-large-differences-regional-precipitation-change-between-first-second-global-warming','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1412863-large-differences-regional-precipitation-change-between-first-second-global-warming"><span>Large differences in regional <span class="hlt">precipitation</span> change between a first and second 2 K of <span class="hlt">global</span> warming</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Good, Peter; Booth, Ben B. B.; Chadwick, Robin; ...</p> <p>2016-12-06</p> <p>For adaptation and mitigation planning, stakeholders need reliable information about regional <span class="hlt">precipitation</span> changes under different emissions scenarios and for different time periods. A significant amount of current planning effort assumes that each K of <span class="hlt">global</span> warming produces roughly the same regional climate change. By using 25 climate models, we compare <span class="hlt">precipitation</span> responses with three 2 K intervals of <span class="hlt">global</span> ensemble mean warming: a fast and a slower route to a first 2 K above pre-industrial levels, and the end-of-century difference between high-emission and mitigation scenarios. Here, we show that, although the two routes to a first 2 K give verymore » similar <span class="hlt">precipitation</span> changes, a second 2 K produces quite a different response. In particular, the balance of physical mechanisms responsible for climate model uncertainty is different for a first and a second 2 K of warming. Our results are consistent with a significant influence from nonlinear physical mechanisms, but aerosol and land-use effects may be important regionally.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016NatCo...713667G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016NatCo...713667G"><span>Large differences in regional <span class="hlt">precipitation</span> change between a first and second 2 K of <span class="hlt">global</span> warming</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Good, Peter; Booth, Ben B. B.; Chadwick, Robin; Hawkins, Ed; Jonko, Alexandra; Lowe, Jason A.</p> <p>2016-12-01</p> <p>For adaptation and mitigation planning, stakeholders need reliable information about regional <span class="hlt">precipitation</span> changes under different emissions scenarios and for different time periods. A significant amount of current planning effort assumes that each K of <span class="hlt">global</span> warming produces roughly the same regional climate change. Here using 25 climate models, we compare <span class="hlt">precipitation</span> responses with three 2 K intervals of <span class="hlt">global</span> ensemble mean warming: a fast and a slower route to a first 2 K above pre-industrial levels, and the end-of-century difference between high-emission and mitigation scenarios. We show that, although the two routes to a first 2 K give very similar <span class="hlt">precipitation</span> changes, a second 2 K produces quite a different response. In particular, the balance of physical mechanisms responsible for climate model uncertainty is different for a first and a second 2 K of warming. The results are consistent with a significant influence from nonlinear physical mechanisms, but aerosol and land-use effects may be important regionally.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1412863','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1412863"><span>Large differences in regional <span class="hlt">precipitation</span> change between a first and second 2 K of <span class="hlt">global</span> warming</span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Good, Peter; Booth, Ben B. B.; Chadwick, Robin</p> <p></p> <p>For adaptation and mitigation planning, stakeholders need reliable information about regional <span class="hlt">precipitation</span> changes under different emissions scenarios and for different time periods. A significant amount of current planning effort assumes that each K of <span class="hlt">global</span> warming produces roughly the same regional climate change. By using 25 climate models, we compare <span class="hlt">precipitation</span> responses with three 2 K intervals of <span class="hlt">global</span> ensemble mean warming: a fast and a slower route to a first 2 K above pre-industrial levels, and the end-of-century difference between high-emission and mitigation scenarios. Here, we show that, although the two routes to a first 2 K give verymore » similar <span class="hlt">precipitation</span> changes, a second 2 K produces quite a different response. In particular, the balance of physical mechanisms responsible for climate model uncertainty is different for a first and a second 2 K of warming. Our results are consistent with a significant influence from nonlinear physical mechanisms, but aerosol and land-use effects may be important regionally.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A12H..06Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A12H..06Z"><span><span class="hlt">Global</span> Survey of <span class="hlt">Precipitation</span> Properties Observed during Tropical Cyclogenesis and Their Differences Compared to Nondeveloping Disturbances</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zawislak, J.</p> <p>2017-12-01</p> <p>This study contributes to a <span class="hlt">global</span> survey of the <span class="hlt">precipitation</span> properties of developing and nondeveloping tropical disturbances, with a focus on distinguishing properties of those disturbances that develop into tropical cyclones (TCs) from those that do not develop. <span class="hlt">Precipitation</span> properties are quantified using a unique accumulation of overpasses of pre-genesis TCs and nondeveloping disturbances from multiple satellite-borne passive microwave imagers. The overpasses are a subset of a broader Tropical Cyclone - Passive Microwave (TC-PMW) dataset that encompasses all stages of the TC life cycle. The TC-PMW consists of 14 years (2003-2016) of overpasses of pre-genesis and nondeveloping disturbances <span class="hlt">globally</span> (the North Atlantic, East Pacific, Central Pacific, West Pacific, northern Indian Ocean, and Southern Hemisphere oceanic basins). Nondeveloping disturbances are defined as those disturbances that do not exceed an "invest" classification by the operational centers (NHC, CPHC, and JTWC). Overall, this study will offer a detailed analysis of the <span class="hlt">precipitation</span> properties (i.e., areal coverage of rainfall and deep convection, depth, or intensity, of convection, proximity of <span class="hlt">precipitation</span> to the center) multiple days before genesis. These analyses offer an opportunity to determine whether the properties of <span class="hlt">precipitation</span> at, and just prior to, genesis are unique compared to previous days of the pre-genesis stage. By evaluating these properties over the robust sample provided by the TC-PMW dataset, results may lend support to the hypothesis that genesis is more closely tied to the fractional coverage of <span class="hlt">precipitation</span> near the center rather than to any uniquely "intense" convection. The study will also investigate whether there are significant differences among the basins in the properties of <span class="hlt">precipitation</span> involved in tropical cyclogenesis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1917391K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1917391K"><span>A <span class="hlt">Global</span> Landslide Nowcasting System using Remotely Sensed Information</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kirschbaum, Dalia; Stanely, Thomas</p> <p>2017-04-01</p> <p>A <span class="hlt">global</span> Landslide Hazard Assessment model for Situational Awareness (LHASA) has been developed that combines susceptibility information with satellite-based <span class="hlt">precipitation</span> to provide an indication of potential landslide activity at the <span class="hlt">global</span> scale every 30 minutes. This model utilizes a 1-km <span class="hlt">global</span> susceptibility map derived from information on slope, geology, road networks, fault zones, and forest loss. A multi-satellite dataset from the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission is used to identify the current and antecedent rainfall conditions from the past 7 days. When both rainfall and susceptibility are high, a "nowcast" is issued to indicate areas where a landslide may be likely. The <span class="hlt">global</span> LHASA model is currently being run in near real-time every 30 minutes and the outputs are available in several different formats at https://pmm.<span class="hlt">nasa</span>.gov/precip-apps. This talk outlines the LHASA system, discusses the performance metrics and potential applications of the LHASA system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20050243326','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20050243326"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Variations and Long-term Changes Derived from the GPCP Monthly Product</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Gu, Guojun; Huffman, George; Curtis, Scott</p> <p>2005-01-01</p> <p><span class="hlt">Global</span> and large regional rainfall variations and possible long-term changes are examined using the 25-year (1979-2004) monthly dataset from the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). The emphasis is to discriminate among the variations due to ENSO, volcanic events and possible long-term changes. Although the <span class="hlt">global</span> change of <span class="hlt">precipitation</span> in the data set is near zero, the data set does indicate an upward trend (0.13 mm/day/25yr) and a downward trend (-0.06 mm/day/25yr) over tropical oceans and lands (25S-25N), respectively. This corresponds to a 4% increase (ocean) and 2% decrease (land) during this time period. Techniques are applied to attempt to eliminate variations due to ENSO and major volcanic eruptions. The impact of the two major volcanic eruptions over the past 25 years is estimated to be about a 5% reduction in tropical rainfall. The modified data set (with ENSO and volcano effect removed) retains the same approximate change slopes, but with reduced variance leading to significance tests with results in the 90-95% range. Inter-comparisons between the GPCP, SSWI (1988-2004), and TRMM (1998-2004) rainfall products are made to increase or decrease confidence in the changes seen in the GPCP analysis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100004883','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100004883"><span>A Modeling and Verification Study of Summer <span class="hlt">Precipitation</span> Systems Using <span class="hlt">NASA</span> Surface Initialization Datasets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jonathan L. Case; Kumar, Sujay V.; Srikishen, Jayanthi; Jedlovec, Gary J.</p> <p>2010-01-01</p> <p>One of the most challenging weather forecast problems in the southeastern U.S. is daily summertime pulse-type convection. During the summer, atmospheric flow and forcing are generally weak in this region; thus, convection typically initiates in response to local forcing along sea/lake breezes, and other discontinuities often related to horizontal gradients in surface heating rates. Numerical simulations of pulse convection usually have low skill, even in local predictions at high resolution, due to the inherent chaotic nature of these <span class="hlt">precipitation</span> systems. Forecast errors can arise from assumptions within parameterization schemes, model resolution limitations, and uncertainties in both the initial state of the atmosphere and land surface variables such as soil moisture and temperature. For this study, it is hypothesized that high-resolution, consistent representations of surface properties such as soil moisture, soil temperature, and sea surface temperature (SST) are necessary to better simulate the interactions between the surface and atmosphere, and ultimately improve predictions of summertime pulse convection. This paper describes a sensitivity experiment using the Weather Research and Forecasting (WRF) model. Interpolated land and ocean surface fields from a large-scale model are replaced with high-resolution datasets provided by unique <span class="hlt">NASA</span> assets in an experimental simulation: the Land Information System (LIS) and Moderate Resolution Imaging Spectroradiometer (MODIS) SSTs. The LIS is run in an offline mode for several years at the same grid resolution as the WRF model to provide compatible land surface initial conditions in an equilibrium state. The MODIS SSTs provide detailed analyses of SSTs over the oceans and large lakes compared to current operational products. The WRF model runs initialized with the LIS+MODIS datasets result in a reduction in the overprediction of rainfall areas; however, the skill is almost equally as low in both experiments using</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFM.B41A0375T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFM.B41A0375T"><span>Enhancing USDA's Retrospective Analog Year Analyses Using <span class="hlt">NASA</span> Satellite <span class="hlt">Precipitation</span> and Soil Moisture Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Teng, W. L.; Shannon, H. D.</p> <p>2013-12-01</p> <p>The USDA World Agricultural Outlook Board (WAOB) is responsible for monitoring weather and climate impacts on domestic and foreign crop development. One of WAOB's primary goals is to determine the net cumulative effect of weather and climate anomalies on final crop yields. To this end, a broad array of information is consulted, including maps, charts, and time series of recent weather, climate, and crop observations; numerical output from weather and crop models; and reports from the press, USDA attachés, and foreign governments. The resulting agricultural weather assessments are published in the Weekly Weather and Crop Bulletin, to keep farmers, policy makers, and commercial agricultural interests informed of weather and climate impacts on agriculture. Because both the amount and timing of <span class="hlt">precipitation</span> significantly affect crop yields, WAOB has often, as part of its operational process, used historical time series of surface-based <span class="hlt">precipitation</span> observations to visually identify growing seasons with similar (analog) weather patterns as, and help estimate crop yields for, the current growing season. As part of a larger effort to improve WAOB estimates by integrating <span class="hlt">NASA</span> remote sensing observations and research results into WAOB's decision-making environment, a more rigorous, statistical method for identifying analog years was developed. This method, termed the analog index (AI), is based on the Nash-Sutcliffe model efficiency coefficient. The AI was computed for five study areas and six growing seasons of data analyzed (2003-2007 as potential analog years and 2008 as the target year). Previously reported results compared the performance of AI for time series derived from surface-based observations vs. satellite-retrieved <span class="hlt">precipitation</span> data. Those results showed that, for all five areas, crop yield estimates derived from satellite-retrieved <span class="hlt">precipitation</span> data are closer to measured yields than are estimates derived from surface-based <span class="hlt">precipitation</span> observations</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_17");'>17</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li class="active"><span>19</span></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_19 --> <div id="page_20" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="381"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180000188','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180000188"><span>Mining Twitter Data to Augment <span class="hlt">NASA</span> GPM Validation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Teng, Bill; Albayrak, Arif; Huffman, George; Vollmer, Bruce; Loeser, Carlee; Acker, Jim</p> <p>2017-01-01</p> <p>The Twitter data stream is an important new source of real-time and historical <span class="hlt">global</span> information for potentially augmenting the validation program of <span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission. There have been other similar uses of Twitter, though mostly related to natural hazards monitoring and management. The validation of satellite <span class="hlt">precipitation</span> estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. The time-varying set of "<span class="hlt">precipitation</span>" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of <span class="hlt">precipitation</span> occurrence. Twitter provides a large source of crowd for crowdsourcing. During a 24-hour period in the middle of the snow storm this past March in the U.S. Northeast, we collected more than 13,000 relevant <span class="hlt">precipitation</span> tweets with exact geolocation. The overall objective of our project is to determine the extent to which processed tweets can provide additional information that improves the validation of GPM data. Though our current effort focuses on tweets and <span class="hlt">precipitation</span>, our approach is general and applicable to other social media and other geophysical measurements. Specifically, we have developed an operational infrastructure for processing tweets, in a format suitable for analysis with GPM data; engaged with potential participants, both passive and active, to "enrich" the Twitter stream; and inter-compared "<span class="hlt">precipitation</span>" tweet data, ground station data, and GPM retrievals. In this presentation, we detail the technical capabilities of our tweet processing infrastructure, including data abstraction, feature extraction, search engine, context-awareness, real-time processing, and high volume (big) data processing; various means for "enriching" the Twitter stream; and results of inter-comparisons. Our project should bring a new kind of visibility to Twitter and engender a new kind of appreciation of the value</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160014815','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160014815"><span>Exploring and Analyzing Climate Variations Online by Using <span class="hlt">NASA</span> MERRA-2 Data at GES DISC</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Shen, Suhung; Ostrenga, Dana M.; Vollmer, Bruce E.; Kempler, Steven J.</p> <p>2016-01-01</p> <p><span class="hlt">NASA</span> Giovanni (Goddard Interactive Online Visualization ANd aNalysis Infrastructure) (http:giovanni.sci.gsfc.<span class="hlt">nasa</span>.govgiovanni) is a web-based data visualization and analysis system developed by the Goddard Earth Sciences Data and Information Services Center (GES DISC). Current data analysis functions include Lat-Lon map, time series, scatter plot, correlation map, difference, cross-section, vertical profile, and animation etc. The system enables basic statistical analysis and comparisons of multiple variables. This web-based tool facilitates data discovery, exploration and analysis of large amount of <span class="hlt">global</span> and regional remote sensing and model data sets from a number of <span class="hlt">NASA</span> data centers. Long term <span class="hlt">global</span> assimilated atmospheric, land, and ocean data have been integrated into the system that enables quick exploration and analysis of climate data without downloading, preprocessing, and learning data. Example data include climate reanalysis data from <span class="hlt">NASA</span> Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) which provides data beginning in 1980 to present; land data from <span class="hlt">NASA</span> <span class="hlt">Global</span> Land Data Assimilation System (GLDAS), which assimilates data from 1948 to 2012; as well as ocean biological data from <span class="hlt">NASA</span> Ocean Biogeochemical Model (NOBM), which provides data from 1998 to 2012. This presentation, using surface air temperature, <span class="hlt">precipitation</span>, ozone, and aerosol, etc. from MERRA-2, demonstrates climate variation analysis with Giovanni at selected regions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120015974','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120015974"><span>A Robust Response of <span class="hlt">Precipitation</span> to <span class="hlt">Global</span> Warming from CMIP5 Models</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lau, K. -M.; Wu, H. -T.; Kim, K. -M.</p> <p>2012-01-01</p> <p>How <span class="hlt">precipitation</span> responds to <span class="hlt">global</span> warming is a major concern to society and a challenge to climate change research. Based on analyses of rainfall probability distribution functions of 14 state-of-the-art climate models, we find a robust, canonical <span class="hlt">global</span> rainfall response to a triple CO2 warming scenario, featuring 100 250% more heavy rain, 5-10% less moderate rain, and 10-15% more very light or no-rain events. Regionally, a majority of the models project a consistent response with more heavy rain events over climatologically wet regions of the deep tropics, and more dry events over subtropical and tropical land areas. Results suggest that increased CO2 emissions induce basic structural changes in <span class="hlt">global</span> rain systems, increasing risks of severe floods and droughts in preferred geographic locations worldwide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016NatSR...639748Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016NatSR...639748Z"><span><span class="hlt">Precipitation</span> and carbon-water coupling jointly control the interannual variability of <span class="hlt">global</span> land gross primary production</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, Yao; Xiao, Xiangming; Guanter, Luis; Zhou, Sha; Ciais, Philippe; Joiner, Joanna; Sitch, Stephen; Wu, Xiaocui; Nabel, Julia; Dong, Jinwei; Kato, Etsushi; Jain, Atul K.; Wiltshire, Andy; Stocker, Benjamin D.</p> <p>2016-12-01</p> <p>Carbon uptake by terrestrial ecosystems is increasing along with the rising of atmospheric CO2 concentration. Embedded in this trend, recent studies suggested that the interannual variability (IAV) of <span class="hlt">global</span> carbon fluxes may be dominated by semi-arid ecosystems, but the underlying mechanisms of this high variability in these specific regions are not well known. Here we derive an ensemble of gross primary production (GPP) estimates using the average of three data-driven models and eleven process-based models. These models are weighted by their spatial representativeness of the satellite-based solar-induced chlorophyll fluorescence (SIF). We then use this weighted GPP ensemble to investigate the GPP variability for different aridity regimes. We show that semi-arid regions contribute to 57% of the detrended IAV of <span class="hlt">global</span> GPP. Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled by <span class="hlt">precipitation</span> and strongly coupled with evapotranspiration (ET). This higher GPP IAV in semi-arid regions is co-limited by supply (<span class="hlt">precipitation</span>)-induced ET variability and GPP-ET coupling strength. Our results demonstrate the importance of semi-arid regions to the <span class="hlt">global</span> terrestrial carbon cycle and posit that there will be larger GPP and ET variations in the future with changes in <span class="hlt">precipitation</span> patterns and dryland expansion.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20170001447&hterms=evapotranspiration&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Devapotranspiration','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20170001447&hterms=evapotranspiration&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3Devapotranspiration"><span><span class="hlt">Precipitation</span> and Carbon-Water Coupling Jointly Control the Interannual Variability of <span class="hlt">Global</span> Land Gross Primary Production</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhang, Yao; Xiao, Xiangming; Guanter, Luis; Zhou, Sha; Ciais, Philippe; Joiner, Joanna; Sitch, Stephen; Wu, Xiaocui; Nabel, Julian; Dong, Jinwei; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20170001447'); toggleEditAbsImage('author_20170001447_show'); toggleEditAbsImage('author_20170001447_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20170001447_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20170001447_hide"></p> <p>2016-01-01</p> <p>Carbon uptake by terrestrial ecosystems is increasing along with the rising of atmospheric CO2 concentration. Embedded in this trend, recent studies suggested that the interannual variability (IAV) of <span class="hlt">global</span> carbon fluxes may be dominated by semi-arid ecosystems, but the underlying mechanisms of this high variability in these specific regions are not well known. Here we derive an ensemble of gross primary production (GPP) estimates using the average of three data-driven models and eleven process-based models. These models are weighted by their spatial representativeness of the satellite-based solar-induced chlorophyll fluorescence (SIF). We then use this weighted GPP ensemble to investigate the GPP variability for different aridity regimes. We show that semi-arid regions contribute to 57% of the detrended IAV of <span class="hlt">global</span> GPP. Moreover, in regions with higher GPP variability, GPP fluctuations are mostly controlled by <span class="hlt">precipitation</span> and strongly coupled with evapotranspiration (ET). This higher GPP IAV in semi-arid regions is co-limited by supply (<span class="hlt">precipitation</span>)-induced ET variability and GPP-ET coupling strength. Our results demonstrate the importance of semi-arid regions to the <span class="hlt">global</span> terrestrial carbon cycle and posit that there will be larger GPP and ET variations in the future with changes in <span class="hlt">precipitation</span> patterns and dryland expansion.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150010253','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150010253"><span>Enhancing Discovery, Search, and Access of <span class="hlt">NASA</span> Hydrological Data by Leveraging GEOSS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Teng, William L.</p> <p>2015-01-01</p> <p>An ongoing <span class="hlt">NASA</span>-funded project has removed a longstanding barrier to accessing <span class="hlt">NASA</span> data (i.e., accessing archived time-step array data as point-time series) for selected variables of the North American and <span class="hlt">Global</span> Land Data Assimilation Systems (NLDAS and GLDAS, respectively) and other EOSDIS (Earth Observing System Data Information System) data sets (e.g., <span class="hlt">precipitation</span>, soil moisture). These time series (data rods) are pre-generated. Data rods Web services are accessible through the CUAHSI Hydrologic Information System (HIS) and the Goddard Earth Sciences Data and Information Services Center (GES DISC) but are not easily discoverable by users of other non-<span class="hlt">NASA</span> data systems. The <span class="hlt">Global</span> Earth Observation System of Systems (GEOSS) is a logical mechanism for providing access to the data rods. An ongoing GEOSS Water Services project aims to develop a distributed, <span class="hlt">global</span> registry of water data, map, and modeling services cataloged using the standards and procedures of the Open Geospatial Consortium and the World Meteorological Organization. The ongoing data rods project has demonstrated the feasibility of leveraging the GEOSS infrastructure to help provide access to time series of model grid information or grids of information over a geographical domain for a particular time interval. A recently-begun, related <span class="hlt">NASA</span>-funded ACCESS-GEOSS project expands on these prior efforts. Current work is focused on both improving the performance of the generation of on-the-fly (OTF) data rods and the Web interfaces from which users can easily discover, search, and access <span class="hlt">NASA</span> data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20080039558','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20080039558"><span>Application of an Ensemble Smoother to <span class="hlt">Precipitation</span> Assimilation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhang, Sara; Zupanski, Dusanka; Hou, Arthur; Zupanski, Milija</p> <p>2008-01-01</p> <p>Assimilation of <span class="hlt">precipitation</span> in a <span class="hlt">global</span> modeling system poses a special challenge in that the observation operators for <span class="hlt">precipitation</span> processes are highly nonlinear. In the variational approach, substantial development work and model simplifications are required to include <span class="hlt">precipitation</span>-related physical processes in the tangent linear model and its adjoint. An ensemble based data assimilation algorithm "Maximum Likelihood Ensemble Smoother (MLES)" has been developed to explore the ensemble representation of the <span class="hlt">precipitation</span> observation operator with nonlinear convection and large-scale moist physics. An ensemble assimilation system based on the <span class="hlt">NASA</span> GEOS-5 GCM has been constructed to assimilate satellite <span class="hlt">precipitation</span> data within the MLES framework. The configuration of the smoother takes the time dimension into account for the relationship between state variables and observable rainfall. The full nonlinear forward model ensembles are used to represent components involving the observation operator and its transpose. Several assimilation experiments using satellite <span class="hlt">precipitation</span> observations have been carried out to investigate the effectiveness of the ensemble representation of the nonlinear observation operator and the data impact of assimilating rain retrievals from the TMI and SSM/I sensors. Preliminary results show that this ensemble assimilation approach is capable of extracting information from nonlinear observations to improve the analysis and forecast if ensemble size is adequate, and a suitable localization scheme is applied. In addition to a dynamically consistent <span class="hlt">precipitation</span> analysis, the assimilation system produces a statistical estimate of the analysis uncertainty.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A51Q..05N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A51Q..05N"><span>Changes in tropical <span class="hlt">precipitation</span> cluster size distributions under <span class="hlt">global</span> warming</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neelin, J. D.; Quinn, K. M.</p> <p>2016-12-01</p> <p>The total amount of <span class="hlt">precipitation</span> integrated across a tropical storm or other <span class="hlt">precipitation</span> feature (contiguous clusters of <span class="hlt">precipitation</span> exceeding a minimum rain rate) is a useful measure of the aggregate size of the disturbance. To establish baseline behavior in current climate, the probability distribution of cluster sizes from multiple satellite retrievals and National Center for Environmental Prediction (NCEP) reanalysis is compared to those from Coupled Model Intercomparison Project (CMIP5) models and the Geophysical Fluid Dynamics Laboratory high-resolution atmospheric model (HIRAM-360 and -180). With the caveat that a minimum rain rate threshold is important in the models (which tend to overproduce low rain rates), the models agree well with observations in leading properties. In particular, scale-free power law ranges in which the probability drops slowly with increasing cluster size are well modeled, followed by a rapid drop in probability of the largest clusters above a cutoff scale. Under the RCP 8.5 <span class="hlt">global</span> warming scenario, the models indicate substantial increases in probability (up to an order of magnitude) of the largest clusters by the end of century. For models with continuous time series of high resolution output, there is substantial spread on when these probability increases for the largest <span class="hlt">precipitation</span> clusters should be detectable, ranging from detectable within the observational period to statistically significant trends emerging only in the second half of the century. Examination of NCEP reanalysis and SSMI/SSMIS series of satellite retrievals from 1979 to present does not yield reliable evidence of trends at this time. The results suggest improvements in inter-satellite calibration of the SSMI/SSMIS retrievals could aid future detection.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19830066046&hterms=marine+biology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dmarine%2Bbiology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19830066046&hterms=marine+biology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dmarine%2Bbiology"><span><span class="hlt">Global</span> biology - An interdisciplinary scientific research program at <span class="hlt">NASA</span>, Ames Research Center</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lawless, J. G.; Colin, L.</p> <p>1983-01-01</p> <p><span class="hlt">NASA</span> has initiated new effort in <span class="hlt">Global</span> Biology, the primary focus of which is to understand biogeochemical cycles. As part of this effort, an interdisciplinary team of scientists has formed at Ames Research Center to investigate the cycling of sulfur in the marine coastal zone and to study the cycling of nitrogen in terrestrial ecosystems. Both studies will use remotely sensed data, coupled with ground-based research, to identify and measure the transfer of major and minor biologically produced gases between these ecosystems and <span class="hlt">global</span> reservoirs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990066631&hterms=marine+biology&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dmarine%2Bbiology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990066631&hterms=marine+biology&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dmarine%2Bbiology"><span><span class="hlt">Global</span> Biology: An Interdisciplinary Scientific Research Program at <span class="hlt">NASA</span> Ames Research Center</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lawless, James G.; Colin, Lawrence</p> <p>1984-01-01</p> <p><span class="hlt">NASA</span> has initiated new effort in <span class="hlt">Global</span> Biology, the primary focus of which is to understand biogeochemical cycles. As part of this effort, an interdisciplinary team of scientists has formed at Ames Research Center to investigate the cycling of sulfur in the marine coastal zone and to study the cycling of nitrogen in terrestrial ecosystems. Both studies will use remotely sensed data, coupled with ground-based research, to identify and measure the transfer of major and minor biologically produced gases between these ecosystems and <span class="hlt">global</span> reservoirs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H31L..06K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H31L..06K"><span>Evaluating the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission with NOAA/NSSL Multi-Radar Multisensor: current status and future directions.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kirstetter, P. E.; Petersen, W. A.; Gourley, J. J.; Kummerow, C.; Huffman, G. J.; Turk, J.; Tanelli, S.; Maggioni, V.; Anagnostou, E. N.; Hong, Y.; Schwaller, M.</p> <p>2017-12-01</p> <p>Accurate characterization of uncertainties in space-borne <span class="hlt">precipitation</span> estimates is critical for many applications including water budget studies or prediction of natural hazards at the <span class="hlt">global</span> scale. The GPM <span class="hlt">precipitation</span> Level II (active and passive) and Level III (IMERG) estimates are compared to the high quality and high resolution NEXRAD-based <span class="hlt">precipitation</span> estimates derived from the NOAA/NSSL's Multi-Radar, Multi-Sensor (MRMS) platform. A surface reference is derived from the MRMS suite of products to be accurate with known uncertainty bounds and measured at a resolution below the pixel sizes of any GPM estimate, providing great flexibility in matching to grid scales or footprints. It provides an independent and consistent reference research framework for directly evaluating GPM <span class="hlt">precipitation</span> products across a large number of meteorological regimes as a function of resolution, accuracy and sample size. The consistency of the ground and space-based sensors in term of <span class="hlt">precipitation</span> detection, typology and quantification are systematically evaluated. Satellite <span class="hlt">precipitation</span> retrievals are further investigated in terms of <span class="hlt">precipitation</span> distributions, systematic biases and random errors, influence of <span class="hlt">precipitation</span> sub-pixel variability and comparison between satellite products. Prognostic analysis directly provides feedback to algorithm developers on how to improve the satellite estimates. Specific factors for passive (e.g. surface conditions for GMI) and active (e.g. non uniform beam filling for DPR) sensors are investigated. This cross products characterization acts as a bridge to intercalibrate microwave measurements from the GPM constellation satellites and propagate to the combined and <span class="hlt">global</span> <span class="hlt">precipitation</span> estimates. <span class="hlt">Precipitation</span> features previously used to analyze Level II satellite estimates under various <span class="hlt">precipitation</span> processes are now intoduced for Level III to test several assumptions in the IMERG algorithm. Specifically, the contribution of Level II is</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006AGUSM.H23A..04A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006AGUSM.H23A..04A"><span>Towards a Quasi-<span class="hlt">global</span> <span class="hlt">precipitation</span>-induced Landslide Detection System using Remote Sensing Information</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Adler, B.; Hong, Y.; Huffman, G.; Negri, A.; Pando, M.</p> <p>2006-05-01</p> <p>Landslides and debris flows are one of the most widespread natural hazards on Earth, responsible for thousands of deaths and billions of dollars in property damage per year. Currently, no system exists at either a national or a <span class="hlt">global</span> scale to monitor or detect rainfall conditions that may trigger landslides. In this study, <span class="hlt">global</span> landslide susceptibility is mapped using USGS GTOPO30 Digital Elevation, hydrological derivatives (slopes and wetness index etc.) from HYDRO1k data, soil type information downscaled from Digital Soil Map of the World (Sand, Loam, Silt, or Clay etc.), and MODIS land cover/use classification data. These variables are then combined with empirical landslide inventory data, if available, to derive a <span class="hlt">global</span> landslide susceptibility map at elemental resolution of 1 x 1 km. This map can then be overlain with the driving force, namely rainfall estimates from the TRMM-based Multiple-satellite <span class="hlt">Precipitation</span> Analysis to identify when areas with significant landslide potential receive heavy rainfall. The relations between rainfall intensity and rainstorm duration are regionally specific and often take the form of a power-law relation. Several empirical landslide-triggering Rainfall Intensity-Duration thresholds are implemented regionally using the 8-year TRMM-based <span class="hlt">precipitation</span> with or without the <span class="hlt">global</span> landslide susceptibility map at continuous space and time domain. Finally, the effectiveness of this system is validated by studying several recent deadly landslide/mudslide events. This study aims to build up a prototype quasi-<span class="hlt">global</span> potential landslide warning system. Spatially-distributed landslide susceptibility maps and regional empirical rainfall intensity-duration thresholds, in combination with real-time rainfall measurements from space and rainfall forecasts from models, will be the basis for this experimental system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/pages/biblio/1295964-parametric-sensitivity-analysis-precipitation-global-local-scales-community-atmosphere-model-cam5','SCIGOV-DOEP'); return false;" href="https://www.osti.gov/pages/biblio/1295964-parametric-sensitivity-analysis-precipitation-global-local-scales-community-atmosphere-model-cam5"><span>Parametric Sensitivity Analysis of <span class="hlt">Precipitation</span> at <span class="hlt">Global</span> and Local Scales in the Community Atmosphere Model CAM5</span></a></p> <p><a target="_blank" href="http://www.osti.gov/pages">DOE PAGES</a></p> <p>Qian, Yun; Yan, Huiping; Hou, Zhangshuan; ...</p> <p>2015-04-10</p> <p>We investigate the sensitivity of <span class="hlt">precipitation</span> characteristics (mean, extreme and diurnal cycle) to a set of uncertain parameters that influence the qualitative and quantitative behavior of the cloud and aerosol processes in the Community Atmosphere Model (CAM5). We adopt both the Latin hypercube and quasi-Monte Carlo sampling approaches to effectively explore the high-dimensional parameter space and then conduct two large sets of simulations. One set consists of 1100 simulations (cloud ensemble) perturbing 22 parameters related to cloud physics and convection, and the other set consists of 256 simulations (aerosol ensemble) focusing on 16 parameters related to aerosols and cloud microphysics.more » Results show that for the 22 parameters perturbed in the cloud ensemble, the six having the greatest influences on the <span class="hlt">global</span> mean <span class="hlt">precipitation</span> are identified, three of which (related to the deep convection scheme) are the primary contributors to the total variance of the phase and amplitude of the <span class="hlt">precipitation</span> diurnal cycle over land. The extreme <span class="hlt">precipitation</span> characteristics are sensitive to a fewer number of parameters. The <span class="hlt">precipitation</span> does not always respond monotonically to parameter change. The influence of individual parameters does not depend on the sampling approaches or concomitant parameters selected. Generally the GLM is able to explain more of the parametric sensitivity of <span class="hlt">global</span> <span class="hlt">precipitation</span> than local or regional features. The total explained variance for <span class="hlt">precipitation</span> is primarily due to contributions from the individual parameters (75-90% in total). The total variance shows a significant seasonal variability in the mid-latitude continental regions, but very small in tropical continental regions.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ACP....18.8173H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ACP....18.8173H"><span>Sensitivity of atmospheric aerosol scavenging to <span class="hlt">precipitation</span> intensity and frequency in the context of <span class="hlt">global</span> climate change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hou, Pei; Wu, Shiliang; McCarty, Jessica L.; Gao, Yang</p> <p>2018-06-01</p> <p>Wet deposition driven by <span class="hlt">precipitation</span> is an important sink for atmospheric aerosols and soluble gases. We investigate the sensitivity of atmospheric aerosol lifetimes to <span class="hlt">precipitation</span> intensity and frequency in the context of <span class="hlt">global</span> climate change. Our sensitivity model simulations, through some simplified perturbations to <span class="hlt">precipitation</span> in the GEOS-Chem model, show that the removal efficiency and hence the atmospheric lifetime of aerosols have significantly higher sensitivities to <span class="hlt">precipitation</span> frequencies than to <span class="hlt">precipitation</span> intensities, indicating that the same amount of <span class="hlt">precipitation</span> may lead to different removal efficiencies of atmospheric aerosols. Combining the long-term trends of <span class="hlt">precipitation</span> patterns for various regions with the sensitivities of atmospheric aerosol lifetimes to various <span class="hlt">precipitation</span> characteristics allows us to examine the potential impacts of <span class="hlt">precipitation</span> changes on atmospheric aerosols. Analyses based on an observational dataset show that <span class="hlt">precipitation</span> frequencies in some regions have decreased in the past 14 years, which might increase the atmospheric aerosol lifetimes in those regions. Similar analyses based on multiple reanalysis meteorological datasets indicate that the changes of <span class="hlt">precipitation</span> intensity and frequency over the past 30 years can lead to perturbations in the atmospheric aerosol lifetimes by 10 % or higher at the regional scale.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150011074','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150011074"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission Launch and Commissioning</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Davis, Nikesha; DeWeese, Keith; Vess, Melissa; O'Donnell, James R., Jr.; Welter, Gary</p> <p>2015-01-01</p> <p>During launch and early operation of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission, the Guidance, Navigation, and Control (GN&C) analysis team encountered four main on-orbit anomalies. These include: (1) unexpected shock from Solar Array deployment, (2) momentum buildup from the Magnetic Torquer Bars (MTBs) phasing errors, (3) transition into Safehold due to albedo induced Course Sun Sensor (CSS) anomaly, and (4) a flight software error that could cause a Safehold transition due to a Star Tracker occultation. This paper will discuss ways GN&C engineers identified the anomalies and tracked down the root causes. Flight data and GN&C on-board models will be shown to illustrate how each of these anomalies were investigated and mitigated before causing any harm to the spacecraft. On May 29, 2014, GPM was handed over to the Mission Flight Operations Team after a successful commissioning period. Currently, GPM is operating nominally on orbit, collecting meaningful scientific data that will significantly improve our understanding of the Earth's climate and water cycle.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150008352','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150008352"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission Launch and Commissioning</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Davis, Nikesha; Deweese, Keith; Vess, Missie; Welter, Gary; O'Donnell, James R., Jr.</p> <p>2015-01-01</p> <p>During launch and early operation of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission, the Guidance, Navigation and Control (GNC) analysis team encountered four main on orbit anomalies. These include: (1) unexpected shock from Solar Array deployment, (2) momentum buildup from the Magnetic Torquer Bars (MTBs) phasing errors, (3) transition into Safehold due to albedo-induced Course Sun Sensor (CSS) anomaly, and (4) a flight software error that could cause a Safehold transition due to a Star Tracker occultation. This paper will discuss ways GNC engineers identified and tracked down the root causes. Flight data and GNC on board models will be shown to illustrate how each of these anomalies were investigated and mitigated before causing any harm to the spacecraft. On May 29, 2014, GPM was handed over to the Mission Flight Operations Team after a successful commissioning period. Currently, GPM is operating nominally on orbit, collecting meaningful scientific data that will significantly improve our understanding of the Earth's climate and water cycle.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.ars.usda.gov/research/publications/publication/?seqNo115=305551','TEKTRAN'); return false;" href="http://www.ars.usda.gov/research/publications/publication/?seqNo115=305551"><span>Few multiyear <span class="hlt">precipitation</span>-reduction experiments find a shift in the productivity-<span class="hlt">precipitation</span> relationship</span></a></p> <p><a target="_blank" href="https://www.ars.usda.gov/research/publications/find-a-publication/">USDA-ARS?s Scientific Manuscript database</a></p> <p></p> <p></p> <p><span class="hlt">Precipitation</span> is a key driver of ecosystem net primary productivity and carbon cycling. <span class="hlt">Global</span> warming is altering <span class="hlt">precipitation</span> patterns <span class="hlt">globally</span>, and longer and more intense drought episodes are projected for many temperate and Mediterranean regions. The challenge of predicting the effects of alt...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120016307','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120016307"><span>Customizing <span class="hlt">NASA</span>'s Earth Science Research Products for addressing MENA Water Challenges</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Habib, Shahid</p> <p>2012-01-01</p> <p>As projected by IPCC 2007 report, by the end of this century the Middle East North Mrica (MENA) region is projected to experience an increase of 3 C to 5 C rise in mean temperatures and a 20% decline in <span class="hlt">precipitation</span>. This poses a serious problem for this geographic zone especially when majority of the hydrological consumption is for the agriculture sector and the remaining amount is for domestic consumption. In late 2011, the World Bank, USAID and <span class="hlt">NASA</span> have joined hands to establishing integrated, modem, up to date <span class="hlt">NASA</span> developed capabilities for various countries in the MENA region for addressing water resource issues and adapting to climate change impacts for improved decision making for societal benefits. The main focus of this undertaking is to address the most pressing societal issues which can be modeled and solved by utilizing <span class="hlt">NASA</span> Earth Science remote sensing data products and hydrological models. The remote sensing data from space is one of the best ways to study such complex issues and further feed into the decision support systems. <span class="hlt">NASA</span>'s fleet of Earth Observing satellites offer a great vantage point from space to look at the globe and provide vital signs necessary to maintain healthy and sustainable ecosystem. <span class="hlt">NASA</span> has over fifteen satellites and thirty instruments operating on these space borne platforms and generating over 2000 different science products on a daily basis. Some of these products are soil moisture, <span class="hlt">global</span> <span class="hlt">precipitation</span>, aerosols, cloud cover, normalized difference vegetation index, land cover/use, ocean altimetry, ocean salinity, sea surface winds, sea surface temperature, ozone and atmospheric gasses, ice and snow measurements, and many more. All of the data products, models and research results are distributed via the Internet freely through out the world. This project will utilize several <span class="hlt">NASA</span> models such as <span class="hlt">global</span> Land Data Assimilation System (LDAS) to generate hydrological states and fluxes in near real time. These LDAS products</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018HESS...22.1371A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018HESS...22.1371A"><span>A nonparametric statistical technique for combining <span class="hlt">global</span> <span class="hlt">precipitation</span> datasets: development and hydrological evaluation over the Iberian Peninsula</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Abul Ehsan Bhuiyan, Md; Nikolopoulos, Efthymios I.; Anagnostou, Emmanouil N.; Quintana-Seguí, Pere; Barella-Ortiz, Anaïs</p> <p>2018-02-01</p> <p>This study investigates the use of a nonparametric, tree-based model, quantile regression forests (QRF), for combining multiple <span class="hlt">global</span> <span class="hlt">precipitation</span> datasets and characterizing the uncertainty of the combined product. We used the Iberian Peninsula as the study area, with a study period spanning 11 years (2000-2010). Inputs to the QRF model included three satellite <span class="hlt">precipitation</span> products, CMORPH, PERSIANN, and 3B42 (V7); an atmospheric reanalysis <span class="hlt">precipitation</span> and air temperature dataset; satellite-derived near-surface daily soil moisture data; and a terrain elevation dataset. We calibrated the QRF model for two seasons and two terrain elevation categories and used it to generate ensemble for these conditions. Evaluation of the combined product was based on a high-resolution, ground-reference <span class="hlt">precipitation</span> dataset (SAFRAN) available at 5 km 1 h-1 resolution. Furthermore, to evaluate relative improvements and the overall impact of the combined product in hydrological response, we used the generated ensemble to force a distributed hydrological model (the SURFEX land surface model and the RAPID river routing scheme) and compared its streamflow simulation results with the corresponding simulations from the individual <span class="hlt">global</span> <span class="hlt">precipitation</span> and reference datasets. We concluded that the proposed technique could generate realizations that successfully encapsulate the reference <span class="hlt">precipitation</span> and provide significant improvement in streamflow simulations, with reduction in systematic and random error on the order of 20-99 and 44-88 %, respectively, when considering the ensemble mean.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H21E1498D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H21E1498D"><span><span class="hlt">Precipitation</span> estimates and comparison of satellite rainfall data to in situ rain gauge observations to further develop the watershed-modeling capabilities for the Lower Mekong River Basin</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dandridge, C.; Lakshmi, V.; Sutton, J. R. P.; Bolten, J. D.</p> <p>2017-12-01</p> <p>This study focuses on the lower region of the Mekong River Basin (MRB), an area including Burma, Cambodia, Vietnam, Laos, and Thailand. This region is home to expansive agriculture that relies heavily on annual <span class="hlt">precipitation</span> over the basin for its prosperity. Annual <span class="hlt">precipitation</span> amounts are regulated by the <span class="hlt">global</span> monsoon system and therefore vary throughout the year. This research will lead to improved prediction of floods and management of floodwaters for the MRB. We compare different satellite estimates of <span class="hlt">precipitation</span> to each other and to in-situ <span class="hlt">precipitation</span> estimates for the Mekong River Basin. These comparisons will help us determine which satellite <span class="hlt">precipitation</span> estimates are better at predicting <span class="hlt">precipitation</span> in the MRB and will help further our understanding of watershed-modeling capabilities for the basin. In this study we use: 1) NOAA's PERSIANN daily 0.25° <span class="hlt">precipitation</span> estimate Climate Data Record (CDR), 2) <span class="hlt">NASA</span>'s Tropical Rainfall Measuring Mission (TRMM) daily 0.25° estimate, and 3) <span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) daily 0.1 estimate and 4) 488 in-situ stations located in the lower MRB provide daily <span class="hlt">precipitation</span> estimates. The PERSIANN CDR <span class="hlt">precipitation</span> estimate was able to provide the longest data record because it is available from 1983 to present. The TRMM <span class="hlt">precipitation</span> estimate is available from 2000 to present and the GPM <span class="hlt">precipitation</span> estimates are available from 2015 to present. It is for this reason that we provide several comparisons between our <span class="hlt">precipitation</span> estimates. Comparisons were done between each satellite product and the in-situ <span class="hlt">precipitation</span> estimates based on geographical location and date using the entire available data record for each satellite product for daily, monthly, and yearly <span class="hlt">precipitation</span> estimates. We found that monthly PERSIANN <span class="hlt">precipitation</span> estimates were able to explain up to 90% of the variability in station <span class="hlt">precipitation</span> depending on station location.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_18");'>18</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li class="active"><span>20</span></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_20 --> <div id="page_21" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="401"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.A21A0019R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.A21A0019R"><span>Improving Database Simulations for Bayesian <span class="hlt">Precipitation</span> Retrieval using Non-Spherical Ice Particles</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ringerud, S.; Skofronick Jackson, G.; Kulie, M.; Randel, D.</p> <p>2016-12-01</p> <p><span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission (GPM) provides a wealth of both active and passive microwave observations aimed at furthering understanding of <span class="hlt">global</span> <span class="hlt">precipitation</span> and the hydrologic cycle. Employing a constellation of passive microwave radiometers increases <span class="hlt">global</span> coverage and sampling, while the core satellite acts as a transfer standard, enabling consistent retrievals across individual constellation members. The transfer standard is applied in the form of a physically based a priori database constructed for use in Bayesian retrieval algorithms for each radiometer. The database is constructed using hydrometeor profiles optimized for the best fit to simultaneous active/passive core satellite measurements via the GPM Combined Algorithm. Initial validation of GPM rainfall products using the combined database suggests high retrieval errors for convective <span class="hlt">precipitation</span> over land and at high latitudes. In such regimes, the signal from ice scattering observed at the higher microwave frequencies becomes particularly important for detecting and retrieving <span class="hlt">precipitation</span>. For cross-track sounders such as MHS and SAPHIR, this signal is crucial. It is therefore important that the scattering signals associated with <span class="hlt">precipitation</span> are accurately represented and modeled in the retrieval database. In the current GPM combined retrieval and constellation databases, ice hydrometeors are represented as "fluffy spheres", with assumed density and scattering parameters calculated using Mie theory. Resulting simulated Tb agree reasonably well at frequencies up to 89 GHz, but show significant biases at higher frequencies. In this work the database is recreated using an ensemble of non-spherical ice particles with single scattering properties calculated using discrete dipole approximation. Simulated Tb agreement is significantly improved across the high frequencies, decreasing biases by an order of magnitude in several of the channels. The new database is applied for a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100003126','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100003126"><span>Data Visualization and Analysis Tools for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Validation Network</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Morris, Kenneth R.; Schwaller, Mathew</p> <p>2010-01-01</p> <p>The Validation Network (VN) prototype for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission compares data from the Tropical Rainfall Measuring Mission (TRMM) satellite <span class="hlt">Precipitation</span> Radar (PR) to similar measurements from U.S. and international operational weather radars. This prototype is a major component of the GPM Ground Validation System (GVS). The VN provides a means for the <span class="hlt">precipitation</span> measurement community to identify and resolve significant discrepancies between the ground radar (GR) observations and similar satellite observations. The VN prototype is based on research results and computer code described by Anagnostou et al. (2001), Bolen and Chandrasekar (2000), and Liao et al. (2001), and has previously been described by Morris, et al. (2007). Morris and Schwaller (2009) describe the PR-GR volume-matching algorithm used to create the VN match-up data set used for the comparisons. This paper describes software tools that have been developed for visualization and statistical analysis of the original and volume matched PR and GR data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ESD.....9..227G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ESD.....9..227G"><span>Regional scaling of annual mean <span class="hlt">precipitation</span> and water availability with <span class="hlt">global</span> temperature change</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Greve, Peter; Gudmundsson, Lukas; Seneviratne, Sonia I.</p> <p>2018-03-01</p> <p>Changes in regional water availability belong to the most crucial potential impacts of anthropogenic climate change, but are highly uncertain. It is thus of key importance for stakeholders to assess the possible implications of different <span class="hlt">global</span> temperature thresholds on these quantities. Using a subset of climate model simulations from the fifth phase of the Coupled Model Intercomparison Project (CMIP5), we derive here the sensitivity of regional changes in <span class="hlt">precipitation</span> and in <span class="hlt">precipitation</span> minus evapotranspiration to <span class="hlt">global</span> temperature changes. The simulations span the full range of available emission scenarios, and the sensitivities are derived using a modified pattern scaling approach. The applied approach assumes linear relationships on <span class="hlt">global</span> temperature changes while thoroughly addressing associated uncertainties via resampling methods. This allows us to assess the full distribution of the simulations in a probabilistic sense. Northern high-latitude regions display robust responses towards wetting, while subtropical regions display a tendency towards drying but with a large range of responses. Even though both internal variability and the scenario choice play an important role in the overall spread of the simulations, the uncertainty stemming from the climate model choice usually accounts for about half of the total uncertainty in most regions. We additionally assess the implications of limiting <span class="hlt">global</span> mean temperature warming to values below (i) 2 K or (ii) 1.5 K (as stated within the 2015 Paris Agreement). We show that opting for the 1.5 K target might just slightly influence the mean response, but could substantially reduce the risk of experiencing extreme changes in regional water availability.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120013468','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120013468"><span>Hydroclimatic Controls over <span class="hlt">Global</span> Variations in Phenology and Carbon Flux</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koster, Randal; Walker, G.; Thornton, Patti; Collatz, G. J.</p> <p>2012-01-01</p> <p>The connection between phenological and hydroclimatological variations are quantified through joint analyses of <span class="hlt">global</span> NDVI, LAI, and <span class="hlt">precipitation</span> datasets. The <span class="hlt">global</span> distributions of both NDVI and LAI in the warm season are strongly controlled by three quantities: mean annual <span class="hlt">precipitation</span>, the standard deviation of annual <span class="hlt">precipitation</span>, and Budyko's index of dryness. Upon demonstrating that these same basic (if biased) relationships are produced by a dynamic vegetation model (the dynamic vegetation and carbon storage components of the NCAR Community Land Model version 4 combined with the water and energy balance framework of the Catchment Land Surface Model of the <span class="hlt">NASA</span> <span class="hlt">Global</span> Modeling and Assimilation Office), we use the model to perform a sensitivity study focusing on how phenology and carbon flux might respond to climatic change. The offline (decoupled from the atmosphere) simulations show us, for example, where on the globe a given small increment in <span class="hlt">precipitation</span> mean or variability would have the greatest impact on carbon uptake. The analysis framework allows us in addition to quantify the degree to which climatic biases in a free-running GCM are manifested as biases in simulated phenology.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFM.B13G..08K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFM.B13G..08K"><span>Hydroclimatic Controls over <span class="hlt">Global</span> Variations in Phenology and Carbon Flux</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Koster, R. D.; Walker, G.; Thornton, P. E.; Collatz, G. J.</p> <p>2012-12-01</p> <p>The connection between phenological and hydroclimatological variations are quantified through joint analyses of <span class="hlt">global</span> NDVI, LAI, and <span class="hlt">precipitation</span> datasets. The <span class="hlt">global</span> distributions of both NDVI and LAI in the warm season are strongly controlled by three quantities: mean annual <span class="hlt">precipitation</span>, the standard deviation of annual <span class="hlt">precipitation</span>, and Budyko's index of dryness. Upon demonstrating that these same basic (if somewhat biased) relationships are produced by a dynamic vegetation model (the dynamic vegetation and carbon storage components of the NCAR Community Land Model version 4 combined with the water and energy balance framework of the Catchment Land Surface Model of the <span class="hlt">NASA</span> <span class="hlt">Global</span> Modeling and Assimilation Office), we use the model to perform a sensitivity study focusing on how phenology and carbon flux might respond to climatic change. The offline (decoupled from the atmosphere) simulations show us, for example, where on the globe a given small increment in <span class="hlt">precipitation</span> mean or variability would have the greatest impact on carbon uptake. The analysis framework allows us in addition to quantify the degree to which climatic biases in a free-running GCM are manifested as biases in simulated phenology.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000021367&hterms=quality+work&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dquality%2Bwork','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000021367&hterms=quality+work&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dquality%2Bwork"><span>Incorporating TRMM and Other High-Quality Estimates into the One-Degree Daily (1DD) <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Product</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David T.</p> <p>1999-01-01</p> <p>The One-Degree Daily (1DD) <span class="hlt">precipitation</span> dataset was recently developed for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP). The IDD provides a <span class="hlt">globally</span>-complete, observation-only estimate of <span class="hlt">precipitation</span> on a daily 1 deg x 1 deg grid for the period 1997 through late 1999 (by the time of the conference). In the latitude band 40 N - 40 S the IDD uses the Threshold-Matched <span class="hlt">Precipitation</span> Index (TMPI), a GPI-like IR product with the T(sub b) threshold and (single) conditional rain rate determined locally for each month by the frequency of <span class="hlt">precipitation</span> in the GPROF SSNU product and by the <span class="hlt">precipitation</span> amount in the GPCP satellite-gauge (SG) combination. Outside 40 N - 40 S the 1DD uses a scaled TOVS <span class="hlt">precipitation</span> estimate that has adjustments based on the TMPI and the SG. This first-generation 1DD has been in beta test preparatory to release as an official GPCP product. In this paper we discuss further development of the 1DD framework to allow the direct incorporation of TRMM and other high-quality <span class="hlt">precipitation</span> estimates. First, these data are generally sparse (typically from low-orbit satellites), so a fair amount of work was devoted to data boundaries. Second, these data are not the same as the original 1DD estimates, so we had to give careful consideration to the best scheme for forcing the 1DD to sum to the SG for the month. Finally, the non-sun-synchronous, low-inclination orbit occupied by TRMM creates interesting variations against the sun-synchronous, high-inclination orbits occupied by the Defense Meteorological Satellite Program satellites that carry the SSM/I. Examples will be given of each of the development issues, then comparisons will be made to daily raingauge analyses.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19940030849','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19940030849"><span>Production of long-term <span class="hlt">global</span> water vapor and liquid water data set using ultra-fast methods to assimilate multi-satellite and radiosonde observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Vonderhaar, Thomas H.; Randel, David L.; Reinke, Donald L.; Stephens, Graeme L.; Ringerud, Mark A.; Combs, Cynthia L.; Greenwald, Thomas J.; Wittmeyer, Ian L.</p> <p>1994-01-01</p> <p>In recent years climate research scientists have recognized the need for increased time and space resolution <span class="hlt">precipitable</span> and liquid water data sets. This project is designed to meet those needs. Specifically, <span class="hlt">NASA</span> is funding STC-METSAT to develop a total integrated column and layered <span class="hlt">precipitable</span> water data set. This is complemented by a total column liquid water data set. These data are <span class="hlt">global</span> in extent, 1 deg x 1 deg in resolution, with daily grids produced. <span class="hlt">Precipitable</span> water is measured by a combination of in situ radiosonde observations and satellite derived infrared and microwave retrievals from four satellites. This project combines these data into a coherent merged product for use in <span class="hlt">global</span> climate research. This report is the Year 2 Annual Report from this <span class="hlt">NASA</span>-sponsored project and includes progress-to-date on the assigned tasks.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160008073','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160008073"><span>Analyzing and Visualizing <span class="hlt">Precipitation</span> and Soil Moisture in ArcGIS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yang, Wenli; Pham, Long; Zhao, Peisheng; Kempler, Steve; Wei, Jennifer</p> <p>2016-01-01</p> <p><span class="hlt">Precipitation</span> and soil moisture are among the most important parameters in many land GIS (Geographic Information System) research and applications. These data are available <span class="hlt">globally</span> from <span class="hlt">NASA</span> GES DISC (Goddard Earth Science Data and Information Services Center) in GIS-ready format at 10-kilometer spatial resolution and 24-hour or less temporal resolutions. In this presentation, well demonstrate how rainfall and soil moisture data are used in ArcGIS to analyze and visualize spatiotemporal patterns of droughts and their impacts on natural vegetation and agriculture in different parts of the world.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMIN33E..07C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMIN33E..07C"><span>Collaboration Portals for <span class="hlt">NASA</span>'s Airborne Field Campaigns</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Conover, H.; Kulkarni, A.; Garrett, M.; Goodman, M.; Petersen, W. A.; Drewry, M.; Hardin, D. M.; He, M.</p> <p>2011-12-01</p> <p>The University of Alabama in Huntsville (UAH), in collaboration with the <span class="hlt">Global</span> Hydrology Resource Center, a <span class="hlt">NASA</span> Earth Science Data Center, has provided information management for a number of <span class="hlt">NASA</span> Airborne Field campaigns, both hurricane science investigations and satellite instrument validation. Effective field campaign management requires communication and coordination tools, including utilities for personnel to upload and share flight plans, weather forecasts, a variety of mission reports, preliminary science data, and personal photos. Beginning with the Genesis and Rapid Intensification Processes (GRIP) hurricane field campaign in 2010, we have provided these capabilities via a Drupal-based collaboration portal. This portal was reused and modified for the Midlatitude Continental Convective Clouds Experiment (MC3E), part of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission ground validation program. An end goal of these development efforts is the creation of a Drupal profile for field campaign management. This presentation will discuss experiences with Drupal in developing and using these collaboration portals. Topics will include Drupal modules used, advantages and disadvantages of working with Drupal in this context, and how the science teams used the portals in comparison with other communication and collaboration tools.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20120002842&hterms=disadvantages&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddisadvantages','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20120002842&hterms=disadvantages&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddisadvantages"><span>Collaboration Portals for <span class="hlt">NASA</span>'s Airborne Field Campaigns</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Conover, Helen; Kulkami, Ajinkya; Garrett, Michele; Goodman, Michael; Peterson, Walter Arthur; Drewry, Marilyn; Hardin, Danny M.; He, Matt</p> <p>2011-01-01</p> <p>The University of Alabama in Huntsville (UAH), in collaboration with the <span class="hlt">Global</span> Hydrology Resource Center, a <span class="hlt">NASA</span> Earth Science Data Center, has provided information management for a number of <span class="hlt">NASA</span> Airborne Field campaigns, both hurricane science investigations and satellite instrument validation. Effective field campaign management requires communication and coordination tools, including utilities for personnel to upload and share flight plans, weather forecasts, a variety of mission reports, preliminary science data, and personal photos. Beginning with the Genesis and Rapid Intensification Processes (GRIP) hurricane field campaign in 2010, we have provided these capabilities via a Drupal-based collaboration portal. This portal was reused and modified for the Midlatitude Continental Convective Clouds Experiment (MC3E), part of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement mission ground validation program. An end goal of these development efforts is the creation of a Drupal profile for field campaign management. This presentation will discuss experiences with Drupal in developing and using these collaboration portals. Topics will include Drupal modules used, advantages and disadvantages of working with Drupal in this context, and how the science teams used the portals in comparison with other communication and collaboration tools.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27922014','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27922014"><span>Large differences in regional <span class="hlt">precipitation</span> change between a first and second 2 K of <span class="hlt">global</span> warming.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Good, Peter; Booth, Ben B B; Chadwick, Robin; Hawkins, Ed; Jonko, Alexandra; Lowe, Jason A</p> <p>2016-12-06</p> <p>For adaptation and mitigation planning, stakeholders need reliable information about regional <span class="hlt">precipitation</span> changes under different emissions scenarios and for different time periods. A significant amount of current planning effort assumes that each K of <span class="hlt">global</span> warming produces roughly the same regional climate change. Here using 25 climate models, we compare <span class="hlt">precipitation</span> responses with three 2 K intervals of <span class="hlt">global</span> ensemble mean warming: a fast and a slower route to a first 2 K above pre-industrial levels, and the end-of-century difference between high-emission and mitigation scenarios. We show that, although the two routes to a first 2 K give very similar <span class="hlt">precipitation</span> changes, a second 2 K produces quite a different response. In particular, the balance of physical mechanisms responsible for climate model uncertainty is different for a first and a second 2 K of warming. The results are consistent with a significant influence from nonlinear physical mechanisms, but aerosol and land-use effects may be important regionally.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMIN42A..06T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMIN42A..06T"><span>Mining Twitter Data Stream to Augment <span class="hlt">NASA</span> GPM Validation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Teng, W. L.; Albayrak, A.; Huffman, G. J.; Vollmer, B.</p> <p>2017-12-01</p> <p>The Twitter data stream is an important new source of real-time and historical <span class="hlt">global</span> information for potentially augmenting the validation program of <span class="hlt">NASA</span>'s <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission. There have been other similar uses of Twitter, though mostly related to natural hazards monitoring and management. The validation of satellite <span class="hlt">precipitation</span> estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. The time-varying set of "<span class="hlt">precipitation</span>" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of <span class="hlt">precipitation</span> occurrence. Twitter provides a large source of crowd for crowdsourcing. During a 24-hour period in the middle of the snow storm this past March in the U.S. Northeast, we collected more than 13,000 relevant <span class="hlt">precipitation</span> tweets with exact geolocation. The overall objective of our project is to determine the extent to which processed tweets can provide additional information that improves the validation of GPM data. Though our current effort focuses on tweets and <span class="hlt">precipitation</span>, our approach is general and applicable to other social media and other geophysical measurements. Specifically, we have developed an operational infrastructure for processing tweets, in a format suitable for analysis with GPM data; engaged with potential participants, both passive and active, to "enrich" the Twitter stream; and inter-compared "<span class="hlt">precipitation</span>" tweet data, ground station data, and GPM retrievals. In this presentation, we detail the technical capabilities of our tweet processing infrastructure, including data abstraction, feature extraction, search engine, context-awareness, real-time processing, and high volume (big) data processing; various means for "enriching" the Twitter stream; and results of inter-comparisons. Our project should bring a new kind of visibility to Twitter and engender a new kind of appreciation of the value</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150021873','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150021873"><span>Dynamic Emulation of <span class="hlt">NASA</span> Missions for IVandV: A Case Study of JWST and SLS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yokum, Steve</p> <p>2015-01-01</p> <p>Software-Only-Simulations are an emerging but quickly developing field of study throughout <span class="hlt">NASA</span>. The <span class="hlt">NASA</span> Independent Verification Validation (IVV) Independent Test Capability (ITC) team has been rapidly building a collection of simulators for a wide range of <span class="hlt">NASA</span> missions. ITC specializes in full end-to-end simulations that enable developers, VV personnel, and operators to test-as-you-fly. In four years, the team has delivered a wide variety of spacecraft simulations ranging from low complexity science missions such as the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Management (GPM) satellite and the Deep Space Climate Observatory (DSCOVR), to the extremely complex missions such as the James Webb Space Telescope (JWST) and Space Launch System (SLS).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AtmRe.203...83S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AtmRe.203...83S"><span>Impacts of <span class="hlt">global</span> warming of 1.5 °C and 2.0 °C on <span class="hlt">precipitation</span> patterns in China by regional climate model (COSMO-CLM)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sun, Hemin; Wang, Anqian; Zhai, Jianqing; Huang, Jinlong; Wang, Yanjun; Wen, Shanshan; Zeng, Xiaofan; Su, Buda</p> <p>2018-05-01</p> <p>Regional <span class="hlt">precipitation</span> patterns may change in a warmer climate, thereby increasing flood and drought risks. In this paper, annual, annual maximum, intense, heavy, moderate, light, and trace <span class="hlt">precipitation</span> are employed as indicators to assess changes in <span class="hlt">precipitation</span> patterns under two scenarios in which the <span class="hlt">global</span> mean temperature increases by 1.5 °C and 2.0 °C relative to pre-industrial levels using the regional climate model COSMO-CLM (CCLM). The results show that annual <span class="hlt">precipitation</span> in China will be approximately 2.5% higher under 1.5 °C warming relative to the present-day baseline (1980-2009), although it will decrease by approximately 4.0% under an additional 0.5 °C increase in <span class="hlt">global</span> mean temperature. This trend is spatially consistent for regions with annual <span class="hlt">precipitation</span> of 400-800 mm, which has experienced a drying trend during the past half century; thus, limiting <span class="hlt">global</span> warming to 1.5 °C may mitigate these drying conditions. The annual maximum <span class="hlt">precipitation</span> continues to increase from present day levels to the 2.0 °C warming scenario. Relative to the baseline period, the frequency of trace and light <span class="hlt">precipitation</span> days exhibits a negative trend, while that of moderate, heavy, and intense <span class="hlt">precipitation</span> days has a positive trend under the 1.5 °C warming scenario. For the 2.0 °C warming world, the frequency of days is projected to decrease for all <span class="hlt">precipitation</span> categories, although the intensity of intense <span class="hlt">precipitation</span> increases. Spatially, a decrease in the number of <span class="hlt">precipitation</span> days is expected to continue in central and northern China, where a drying trend has persisted over the past half century. Southeastern China, which already suffers greatly from flooding, is expected to face more heavy and intense <span class="hlt">precipitation</span> with an additional 0.5 °C increase in <span class="hlt">global</span> mean temperature. Meanwhile, the intensity of intense <span class="hlt">precipitation</span> is expected to increase in northern China, and the contribution of light and moderate <span class="hlt">precipitation</span> to the annual</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170005481','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170005481"><span>All-Sky Microwave Imager Data Assimilation at <span class="hlt">NASA</span> GMAO</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kim, Min-Jeong; Jin, Jianjun; El Akkraoui, Amal; McCarty, Will; Todling, Ricardo; Gu, Wei; Gelaro, Ron</p> <p>2017-01-01</p> <p>Efforts in all-sky satellite data assimilation at the <span class="hlt">Global</span> Modeling and Assimilation Office (GMAO) at <span class="hlt">NASA</span> Goddard Space Flight Center have been focused on the development of GSI configurations to assimilate all-sky data from microwave imagers such as the GPM Microwave Imager (GMI) and <span class="hlt">Global</span> Change Observation Mission-Water (GCOM-W) Advanced Microwave Scanning Radiometer 2 (AMSR-2). Electromagnetic characteristics associated with their wavelengths allow microwave imager data to be relatively transparent to atmospheric gases and thin ice clouds, and highly sensitive to <span class="hlt">precipitation</span>. Therefore, GMAOs all-sky data assimilation efforts are primarily focused on utilizing these data in <span class="hlt">precipitating</span> regions. The all-sky framework being tested at GMAO employs the GSI in a hybrid 4D-EnVar configuration of the Goddard Earth Observing System (GEOS) data assimilation system, which will be included in the next formal update of GEOS. This article provides an overview of the development of all-sky radiance assimilation in GEOS, including some performance metrics. In addition, various projects underway at GMAO designed to enhance the all-sky implementation will be introduced.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170002319','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170002319"><span>Framework for Processing Citizens Science Data for Applications to <span class="hlt">NASA</span> Earth Science Missions</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Teng, William; Albayrak, Arif</p> <p>2017-01-01</p> <p>Citizen science (or crowdsourcing) has drawn much high-level recent and ongoing interest and support. It is poised to be applied, beyond the by-now fairly familiar use of, e.g., Twitter for natural hazards monitoring, to science research, such as augmenting the validation of <span class="hlt">NASA</span> earth science mission data. This interest and support is seen in the 2014 National Plan for Civil Earth Observations, the 2015 White House forum on citizen science and crowdsourcing, the ongoing Senate Bill 2013 (Crowdsourcing and Citizen Science Act of 2015), the recent (August 2016) Open Geospatial Consortium (OGC) call for public participation in its newly-established Citizen Science Domain Working Group, and <span class="hlt">NASA</span>'s initiation of a new Citizen Science for Earth Systems Program (along with its first citizen science-focused solicitation for proposals). Over the past several years, we have been exploring the feasibility of extracting from the Twitter data stream useful information for application to <span class="hlt">NASA</span> <span class="hlt">precipitation</span> research, with both "passive" and "active" participation by the twitterers. The Twitter database, which recently passed its tenth anniversary, is potentially a rich source of real-time and historical <span class="hlt">global</span> information for science applications. The time-varying set of "<span class="hlt">precipitation</span>" tweets can be thought of as an organic network of rain gauges, potentially providing a widespread view of <span class="hlt">precipitation</span> occurrence. The validation of satellite <span class="hlt">precipitation</span> estimates is challenging, because many regions lack data or access to data, especially outside of the U.S. and in remote and developing areas. Mining the Twitter stream could augment these validation programs and, potentially, help tune existing algorithms. Our ongoing work, though exploratory, has resulted in key components for processing and managing tweets, including the capabilities to filter the Twitter stream in real time, to extract location information, to filter for exact phrases, and to plot tweet distributions. The</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H32C..06H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H32C..06H"><span>Modulation of <span class="hlt">Precipitation</span> in the Olympic Mountains by Trapped Gravity Waves</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Heymsfield, G. M.; Tian, L.; Grecu, M.; McLinden, M.; Li, L.</p> <p>2017-12-01</p> <p><span class="hlt">Precipitation</span> over the Olympic Mountains was studied intensely with multiple aircraft and ground-based measurements during the Olympic Mountains Experiment (OLYMPEX) during the fall-winter season 2015-2016 as part of validation for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) (Houze et al. 2017) and the Radar Definition Experiment (RADEX) supported by the Aerosol Chemistry, Ecosystem (ACE) <span class="hlt">NASA</span> Decadal Mission. This presentation focuses on observations of a broad frontal cloud system with strong flow over the mountains on 5 December 2015. Unique observations of trapped waves were obtained with in the three Goddard Space Flight Center nadir-looking, X- through W-band, Doppler radars on the <span class="hlt">NASA</span> high-altitude ER-2: the High-altitude Wind and Rain Airborne Profiler (HIWRAP) at Ku and Ka-band, the W-band Cloud Radar System (CRS), and the ER-2 X-band Radar (EXRAD). Analysis of the aircraft measurements showed the presence of deep, trapped gravity waves on a scale ranging from 10-25 km in the nadir-looking Doppler and reflectivity observations. These waves cause localized vertical up/down motions on the order of 1-2 ms-1 and they are superimposed on the widespread south-southwest flow over the Olympic Mountains. While much of this widespread flow over the mountains produces copious amounts of snowfall, the gravity waves play an important role in modulating this <span class="hlt">precipitation</span> indirectly through microphysical processes in the ice region. We will describe analyses of the interactions between the air motions and <span class="hlt">precipitation</span> structure for this case and other cases we observed similar waves. We will present preliminary results from <span class="hlt">precipitation</span> retrievals based on optimal estimation (Grecu et al. 2011).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A24F..01T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A24F..01T"><span>A Multi-scale Modeling System with Unified Physics to Study <span class="hlt">Precipitation</span> Processes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tao, W. K.</p> <p>2017-12-01</p> <p>In recent years, exponentially increasing computer power has extended Cloud Resolving Model (CRM) integrations from hours to months, the number of computational grid points from less than a thousand to close to ten million. Three-dimensional models are now more prevalent. Much attention is devoted to <span class="hlt">precipitating</span> cloud systems where the crucial 1-km scales are resolved in horizontal domains as large as 10,000 km in two-dimensions, and 1,000 x 1,000 km2 in three-dimensions. Cloud resolving models now provide statistical information useful for developing more realistic physically based parameterizations for climate models and numerical weather prediction models. It is also expected that NWP and mesoscale model can be run in grid size similar to cloud resolving model through nesting technique. Recently, a multi-scale modeling system with unified physics was developed at <span class="hlt">NASA</span> Goddard. It consists of (1) a cloud-resolving model (Goddard Cumulus Ensemble model, GCE model), (2) a regional scale model (a <span class="hlt">NASA</span> unified weather research and forecast, WRF), and (3) a coupled CRM and <span class="hlt">global</span> model (Goddard Multi-scale Modeling Framework, MMF). The same microphysical processes, long and short wave radiative transfer and land processes and the explicit cloud-radiation, and cloud-land surface interactive processes are applied in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator to use <span class="hlt">NASA</span> high-resolution satellite data to identify the strengths and weaknesses of cloud and <span class="hlt">precipitation</span> processes simulated by the model. In this talk, a review of developments and applications of the multi-scale modeling system will be presented. In particular, the results from using multi-scale modeling system to study the <span class="hlt">precipitation</span>, processes and their sensitivity on model resolution and microphysics schemes will be presented. Also how to use of the multi-satellite simulator to improve <span class="hlt">precipitation</span> processes will be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19930010906','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19930010906"><span>Microwave radiative transfer studies of <span class="hlt">precipitation</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bringi, V. N.; Vivekanandan, J.; Turk, F. Joseph</p> <p>1993-01-01</p> <p>Since the deployment of the DMSP SSM/I microwave imagers in 1987, increased utilization of passive microwave radiometry throughout the 10 - 100 GHz spectrum has occurred for measurement of atmospheric constituents and terrestrial surfaces. Our efforts have focused on observations and analysis of the microwave radiative transfer behavior of <span class="hlt">precipitating</span> clouds. We have focused particular attention on combining both aircraft and SSM/I radiometer imagery with ground-based multiparameter radar observations. As part of this and the past <span class="hlt">NASA</span> contract, we have developed a multi-stream, polarized radiative transfer model which incorporates scattering. The model has the capability to be initialized with cloud model output or multiparameter radar products. This model provides the necessary 'link' between the passive microwave radiometer and active microwave radar observations. This unique arrangement has allowed the brightness temperatures (TB) to be compared against quantities such as rainfall, liquid/ice water paths, and the vertical structure of the cloud. Quantification of the amounts of ice and water in <span class="hlt">precipitating</span> clouds is required for understanding of the <span class="hlt">global</span> energy balance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMPA51A2068B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMPA51A2068B"><span>The Heritage of the Operational Usda/<span class="hlt">nasa</span> <span class="hlt">Global</span> Reservoir and Lake Monitor</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Birkett, C. M.; Beckley, B. D.; Reynolds, C. A.</p> <p>2012-12-01</p> <p>Satellite radar altimetry has the ability to monitor variations in surface water height for large lakes and reservoirs. A clear advantage is the provision of data where in situ data are lacking or where there is restricted access to ground-based measurements. A USDA/<span class="hlt">NASA</span> funded program is performing altimetric monitoring of the largest lakes and reservoirs around the world. The near-real time height measurements are currently derived from <span class="hlt">NASA</span>/CNES Jason-2/OSTM mission data. Archived data are also utilized from the <span class="hlt">NASA</span>/CNES Topex/Poseidon and Jason-1 missions, the NRL GFO mission, and the ESA ENVISAT mission. Lake level products are output within 1-2 weeks after satellite overpass, a time delay which will improve to a few days as the project moves into its next phase. The USDA/FAS utilize the products for assessing irrigation potential (and thus crop production estimates), and for general observation of high-water status and short-term drought. Other end-users explore the products to study climate trends, observe anthropogenic effects, and to consider water management and regional security issues. This presentation explores the heritage of the <span class="hlt">Global</span> Reservoir and Lake Monitor (GRLM) which has its origins in the field of ocean surface topography and the exploration of radar altimetry techniques over non-ocean surfaces. The current system closely follows the software design of the historical <span class="hlt">NASA</span> Ocean Pathfinder Project and utilizes a <span class="hlt">global</span> lakes catalogue that was created for climate change/aridity studies. The output of lake level products, imagery and information also echoes an earlier trial (UNDP-funded) lakes database which first offered altimetric products via the world wide web and which enabled world-wide interest to be both assessed and highlighted.;</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_19");'>19</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li class="active"><span>21</span></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_21 --> <div id="page_22" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="421"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150019663','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150019663"><span>High Output Maximum Efficiency Resonator (HOMER) Laser for <span class="hlt">NASA</span>'s <span class="hlt">Global</span> Ecosystem Dynamics Investigation (GEDI) Lidar Mission</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stysley, Paul; Coyle, Barry; Clarke, Greg; Poulios, Demetrios; Kay, Richard</p> <p>2015-01-01</p> <p>The <span class="hlt">Global</span> Ecosystems Dynamics Investigation (GEDI) is a planned mission sending a LIDAR instrument to the International Space Station that will employ three <span class="hlt">NASA</span> laser transmitters. This instrument will produce parallel tracks on the Earth's surface that will provide <span class="hlt">global</span> 3D vegetation canopy measurements. To meet the mission goals a total of 5 High Output Maximum Efficiency Resonator lasers will to be built (1 ETU + 3 Flight + 1 spare) in-house at <span class="hlt">NASA</span>-GSFC. This presentation will summarize the HOMER design, the testing the design has completed in the past, and the plans to successfully build the units needed for the GEDI mission.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100040616','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100040616"><span>Development of the <span class="hlt">Global</span> Ozone Lidar Demonstrator (GOLD) Instrument for Deployment on the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hair, Jonathan W.; Browell, Edward V.; McGee, Thomas; Butler, Carolyn; Fenn, Marta; Os,ao (. Sued); Notari, Anthony; Collins, James; Cleckner, Craig; Hostetler, Chris</p> <p>2010-01-01</p> <p>A compact ozone (O3) and aerosol lidar system is being developed for conducting <span class="hlt">global</span> atmospheric investigations from the <span class="hlt">NASA</span> <span class="hlt">Global</span> Hawk Uninhabited Aerial Vehicle (UAV) and for enabling the development and test of a space-based O3 and aerosol lidar. GOLD incorporates advanced technologies and designs to produce a compact, autonomously operating O3 and aerosol Differential Absorption Lidar (DIAL) system for a UAV platform. The GOLD system leverages advanced Nd:YAG and optical parametric oscillator laser technologies and receiver optics, detectors, and electronics. Significant progress has been made toward the development of the GOLD system, and this paper describes the objectives of this program, basic design of the GOLD system, and results from initial ground-based atmospheric tests.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990018738&hterms=recycling&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Drecycling','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990018738&hterms=recycling&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Drecycling"><span><span class="hlt">Precipitation</span> Recycling</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Eltahir, Elfatih A. B.; Bras, Rafael L.</p> <p>1996-01-01</p> <p>The water cycle regulates and reflects natural variability in climate at the regional and <span class="hlt">global</span> scales. Large-scale human activities that involve changes in land cover, such as tropical deforestation, are likely to modify climate through changes in the water cycle. In order to understand, and hopefully be able to predict, the extent of these potential <span class="hlt">global</span> and regional changes, we need first to understand how the water cycle works. In the past, most of the research in hydrology focused on the land branch of the water cycle, with little attention given to the atmospheric branch. The study of <span class="hlt">precipitation</span> recycling which is defined as the contribution of local evaporation to local <span class="hlt">precipitation</span>, aims at understanding hydrologic processes in the atmospheric branch of the water cycle. Simply stated, any study on <span class="hlt">precipitation</span> recycling is about how the atmospheric branch of the water cycle works, namely, what happens to water vapor molecules after they evaporate from the surface, and where will they <span class="hlt">precipitate</span>?</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004AGUSM.H31A..19R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004AGUSM.H31A..19R"><span>Six Years of TRMM <span class="hlt">Precipitation</span> Data at the GES DISC DAAC</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rui, H.; Teng, B.; Liu, Z.; Chiu, L.; Hrubiak, P.; Bonk, J.; Lu, L.</p> <p>2004-05-01</p> <p>The Tropical Rainfall Measuring Mission (TRMM), a joint mission between <span class="hlt">NASA</span> and the Japan Aerospace Exploration Agency (JAXA), has been acquiring data from shortly after its launch in November 1997 to the present. All TRMM data, including those from the first and, thus far, only space-borne <span class="hlt">Precipitation</span> Radar (PR), are archived at and distributed by the GES DISC DAAC. As of January 2004, more than six million files, with a total volume of 105 TB, of TRMM data had been distributed to thousands of users from 37 different countries around the world. With the PR, TRMM has been able to produce more accurate measurements of rainfall type, intensity, and three-dimensional distribution, all of which contribute to improved tropical cyclone forecasts and better preparation for hurricanes/typhoons, and to reduction in economic loss. TRMM data have also been widely used for climate, health, environment, agriculture, and interdisciplinary research and applications. The TRMM six-year <span class="hlt">precipitation</span> climatology is a benchmark for other tropical rainfall measurement, and for estimating tropical contributions to <span class="hlt">global</span> water and energy cycles. As a data information and services center, the GES DISC DAAC has consistently been providing customer-focused support to the TRMM user community. These include (1) TRMM Data Search and Order System (http://lake.nascom.<span class="hlt">nasa</span>.gov/data/dataset/TRMM/); (2) online documentation; (3) TRMM HDF Data Read Software (ftp://lake.nascom.<span class="hlt">nasa</span>.gov/software/trmm_software/Read_HDF/); (4) TRMM Online Visualization and Analysis System (TOVAS, http://lake.nascom.<span class="hlt">nasa</span>.gov/tovas/); and (5) TRMM data mining (http://daac.gsfc.<span class="hlt">nasa</span>.gov/hydrology/hd_datamin_intro.shtml).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150018314','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150018314"><span>Monitoring Natural Events <span class="hlt">Globally</span> in Near Real-Time Using <span class="hlt">NASA</span>'s Open Web Services and Tools</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boller, Ryan A.; Ward, Kevin Alan; Murphy, Kevin J.</p> <p>2015-01-01</p> <p>Since 1960, <span class="hlt">NASA</span> has been making <span class="hlt">global</span> measurements of the Earth from a multitude of space-based missions, many of which can be useful for monitoring natural events. In recent years, these measurements have been made available in near real-time, making it possible to use them to also aid in managing the response to natural events. We present the challenges and ongoing solutions to using <span class="hlt">NASA</span> satellite data for monitoring and managing these events.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMSA23B..03K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMSA23B..03K"><span><span class="hlt">Global</span> views of energetic particle <span class="hlt">precipitation</span> and their sources: Combining large-scale models with observations during the 21-22 January 2005 magnetic storm (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kozyra, J. U.; Brandt, P. C.; Cattell, C. A.; Clilverd, M.; de Zeeuw, D.; Evans, D. S.; Fang, X.; Frey, H. U.; Kavanagh, A. J.; Liemohn, M. W.; Lu, G.; Mende, S. B.; Paxton, L. J.; Ridley, A. J.; Rodger, C. J.; Soraas, F.</p> <p>2010-12-01</p> <p>Energetic ions and electrons that <span class="hlt">precipitate</span> into the upper atmosphere from sources throughout geospace carry the influences of space weather disturbances deeper into the atmosphere, possibly contributing to climate variability. The three-dimensional atmospheric effects of these <span class="hlt">precipitating</span> particles are a function of the energy and species of the particles, lifetimes of reactive species generated during collisions in the atmosphere, the nature of the driving space weather disturbance, and the large-scale transport properties (meteorology) of the atmosphere in the region of impact. Unraveling the features of system-level coupling between solar magnetic variability, space weather and stratospheric dynamics requires a <span class="hlt">global</span> view of the <span class="hlt">precipitation</span>, along with its temporal and spatial variation. However, observations of particle <span class="hlt">precipitation</span> at the system level are sparse and incomplete requiring they be combined with other observations and with large-scale models to provide the <span class="hlt">global</span> context that is needed to accelerate progress. We compare satellite and ground-based observations of geospace conditions and energetic <span class="hlt">precipitation</span> (at ring current, radiation belt and auroral energies) to a simulation of the geospace environment during 21-22 January 2005 by the BATS-R-US MHD model coupled with a self-consistent ring current solution. The aim is to explore the extent to which regions of particle <span class="hlt">precipitation</span> track <span class="hlt">global</span> magnetic field distortions and ways in which <span class="hlt">global</span> models enhance our understanding of linkages between solar wind drivers and evolution of energetic particle <span class="hlt">precipitation</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFM.U23A0017Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFM.U23A0017Z"><span>A <span class="hlt">GLOBAL</span> ASSESSMENT OF SOLAR ENERGY RESOURCES: <span class="hlt">NASA</span>'s Prediction of Worldwide Energy Resources (POWER) Project</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, T.; Stackhouse, P. W., Jr.; Chandler, W.; Hoell, J. M.; Westberg, D.; Whitlock, C. H.</p> <p>2010-12-01</p> <p><span class="hlt">NASA</span>'s POWER project, or the Prediction of the Worldwide Energy Resources project, synthesizes and analyzes data on a <span class="hlt">global</span> scale. The products of the project find valuable applications in the solar and wind energy sectors of the renewable energy industries. The primary source data for the POWER project are <span class="hlt">NASA</span>'s World Climate Research Project (WCRP)/<span class="hlt">Global</span> Energy and Water cycle Experiment (GEWEX) Surface Radiation Budget (SRB) project (Release 3.0) and the <span class="hlt">Global</span> Modeling and Assimilation Office (GMAO) Goddard Earth Observing System (GEOS) assimilation model (V 4.0.3). Users of the POWER products access the data through <span class="hlt">NASA</span>'s Surface meteorology and Solar Energy (SSE, Version 6.0) website (http://power.larc.<span class="hlt">nasa</span>.gov). Over 200 parameters are available to the users. The spatial resolution is 1 degree by 1 degree now and will be finer later. The data covers from July 1983 to December 2007, a time-span of 24.5 years, and are provided as 3-hourly, daily and monthly means. As of now, there have been over 18 million web hits and over 4 million data file downloads. The POWER products have been systematically validated against ground-based measurements, and in particular, data from the Baseline Surface Radiation Network (BSRN) archive, and also against the National Solar Radiation Data Base (NSRDB). Parameters such as minimum, maximum, daily mean temperature and dew points, relative humidity and surface pressure are validated against the National Climate Data Center (NCDC) data. SSE feeds data directly into Decision Support Systems including RETScreen International clean energy project analysis software that is written in 36 languages and has greater than 260,000 users worldwide.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005AGUFM.H13J..02H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005AGUFM.H13J..02H"><span>Monitoring <span class="hlt">Precipitation</span> from Space: targeting Hydrology Community?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hong, Y.; Turk, J.</p> <p>2005-12-01</p> <p>During the past decades, advances in space, sensor and computer technology have made it possible to estimate <span class="hlt">precipitation</span> nearly <span class="hlt">globally</span> from a variety of observations in a relatively direct manner. The success of Tropical <span class="hlt">Precipitation</span> Measuring Mission (TRMM) has been a significant advance for modern <span class="hlt">precipitation</span> estimation algorithms to move toward daily quarter degree measurements, while the need for <span class="hlt">precipitation</span> data at temporal-spatial resolutions compatible with hydrologic modeling has been emphasized by the end user: hydrology community. Can the future deployment of <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement constellation of low-altitude orbiting satellites (covering 90% of the <span class="hlt">global</span> with a sampling interval of less than 3-hours), in conjunction with the existing suite of geostationary satellites, results in significant improvements in scale and accuracy of <span class="hlt">precipitation</span> estimates suitable for hydrology applications? This presentation will review the current state of satellite-derived <span class="hlt">precipitation</span> estimation and demonstrate the early results and primary barriers to full <span class="hlt">global</span> high-resolution <span class="hlt">precipitation</span> coverage. An attempt to facilitate the communication between data producers and users will be discussed by developing an 'end-to-end' uncertainty propagation analysis framework to quantify both the <span class="hlt">precipitation</span> estimation error structure and the error influence on hydrological modeling.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.H32C..08D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.H32C..08D"><span>Passive Microwave <span class="hlt">Precipitation</span> Retrieval Uncertainty Characterized based on Field Campaign Data over Complex Terrain</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Derin, Y.; Anagnostou, E. N.; Anagnostou, M.; Kalogiros, J. A.; Casella, D.; Marra, A. C.; Panegrossi, G.; Sanò, P.</p> <p>2017-12-01</p> <p>Difficulties in representation of high rainfall variability over mountainous areas using ground based sensors make satellite remote sensing techniques attractive for hydrologic studies over these regions. Even though satellite-based rainfall measurements are quasi <span class="hlt">global</span> and available at high spatial resolution, these products have uncertainties that necessitate use of error characterization and correction procedures based upon more accurate in situ rainfall measurements. Such measurements can be obtained from field campaigns facilitated by research quality sensors such as locally deployed weather radar and in situ weather stations. This study uses such high quality and resolution rainfall estimates derived from dual-polarization X-band radar (XPOL) observations from three field experiments in Mid-Atlantic US East Coast (<span class="hlt">NASA</span> IPHEX experiment), the Olympic Peninsula of Washington State (<span class="hlt">NASA</span> OLYMPEX experiment), and the Mediterranean to characterize the error characteristics of multiple passive microwave (PMW) sensor retrievals. The study first conducts an independent error analysis of the XPOL radar reference rainfall fields against in situ rain gauges and disdrometer observations available by the field experiments. Then the study evaluates different PMW <span class="hlt">precipitation</span> products using the XPOL datasets (GR) over the three aforementioned complex terrain study areas. We extracted matchups of PMW/GR rainfall based on a matching methodology that identifies GR volume scans coincident with PMW field-of-view sampling volumes, and scaled GR parameters to the satellite products' nominal spatial resolution. The following PMW <span class="hlt">precipitation</span> retrieval algorithms are evaluated: the <span class="hlt">NASA</span> Goddard PROFiling algorithm (GPROF), standard and climatology-based products (V 3, 4 and 5) from four PMW sensors (SSMIS, MHS, GMI, and AMSR2), and the <span class="hlt">precipitation</span> products based on the algorithms Cloud Dynamics and Radiation Database (CDRD) for SSMIS and Passive microwave Neural network</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5150659','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5150659"><span>Large differences in regional <span class="hlt">precipitation</span> change between a first and second 2 K of <span class="hlt">global</span> warming</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Good, Peter; Booth, Ben B. B.; Chadwick, Robin; Hawkins, Ed; Jonko, Alexandra; Lowe, Jason A.</p> <p>2016-01-01</p> <p>For adaptation and mitigation planning, stakeholders need reliable information about regional <span class="hlt">precipitation</span> changes under different emissions scenarios and for different time periods. A significant amount of current planning effort assumes that each K of <span class="hlt">global</span> warming produces roughly the same regional climate change. Here using 25 climate models, we compare <span class="hlt">precipitation</span> responses with three 2 K intervals of <span class="hlt">global</span> ensemble mean warming: a fast and a slower route to a first 2 K above pre-industrial levels, and the end-of-century difference between high-emission and mitigation scenarios. We show that, although the two routes to a first 2 K give very similar <span class="hlt">precipitation</span> changes, a second 2 K produces quite a different response. In particular, the balance of physical mechanisms responsible for climate model uncertainty is different for a first and a second 2 K of warming. The results are consistent with a significant influence from nonlinear physical mechanisms, but aerosol and land-use effects may be important regionally. PMID:27922014</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19830009721','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19830009721"><span><span class="hlt">Precipitable</span> water: Its linear retrieval using leaps and bounds procedure and its <span class="hlt">global</span> distribution from SEASAT SMMR data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pandey, P. C.</p> <p>1982-01-01</p> <p>Eight subsets using two to five frequencies of the SEASAT scanning multichannel microwave radiometer are examined to determine their potential in the retrieval of atmospheric water vapor content. Analysis indicates that the information concerning the 18 and 21 GHz channels are optimum for water vapor retrieval. A comparison with radiosonde observations gave an rms accuracy of approximately 0.40 g sq cm. The rms accuracy of <span class="hlt">precipitable</span> water using different subsets was within 10 percent. <span class="hlt">Global</span> maps of <span class="hlt">precipitable</span> water over oceans using two and five channel retrieval (average of two and five channel retrieval) are given. Study of these maps reveals the possibility of <span class="hlt">global</span> moisture distribution associated with oceanic currents and large scale general circulation in the atmosphere. A stable feature of the large scale circulation is noticed. The <span class="hlt">precipitable</span> water is maximum over the Bay of Bengal and in the North Pacific over the Kuroshio current and shows a general latitudinal pattern.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110012696','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110012696"><span>The <span class="hlt">NASA</span> Marshall Space Flight Center Earth <span class="hlt">Global</span> Reference Atmospheric Model-2010 Version</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Leslie, F. W.; Justus, C. G.</p> <p>2011-01-01</p> <p>Reference or standard atmospheric models have long been used for design and mission planning of various aerospace systems. The <span class="hlt">NASA</span> Marshall Space Flight Center <span class="hlt">Global</span> Reference Atmospheric Model was developed in response to the need for a design reference atmosphere that provides complete <span class="hlt">global</span> geographical variability and complete altitude coverage (surface to orbital altitudes), as well as complete seasonal and monthly variability of the thermodynamic variables and wind components. In addition to providing the geographical, height, and monthly variation of the mean atmospheric state, it includes the ability to simulate spatial and temporal perturbations.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100026397&hterms=example+study+applied+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dexample%2Bstudy%2Bapplied%2Bresearch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100026397&hterms=example+study+applied+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dexample%2Bstudy%2Bapplied%2Bresearch"><span>Using Multi-Scale Modeling Systems and Satellite Data to Study the <span class="hlt">Precipitation</span> Processes</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tao, Wei--Kuo; Chern, J.; Lamg, S.; Matsui, T.; Shen, B.; Zeng, X.; Shi, R.</p> <p>2010-01-01</p> <p>In recent years, exponentially increasing computer power extended Cloud Resolving Model (CRM) integrations from hours to months, the number of computational grid points from less than a thousand to close to ten million. Three-dimensional models are now more prevalent. Much attention is devoted to <span class="hlt">precipitating</span> cloud systems where the crucial 1-km scales are resolved in horizontal domains as large as 10,000 km in two-dimensions, and 1,000 x 1,000 sq km in three-dimensions. Cloud resolving models now provide statistical information useful for developing more realistic physically based parameterizations for climate models and numerical weather prediction models. It is also expected that NWP and mesoscale models can be run in grid size similar to cloud resolving models through nesting technique. Recently, a multi-scale modeling system with unified physics was developed at <span class="hlt">NASA</span> Goddard. It consists of (1) a cloud-resolving model (Goddard Cumulus Ensemble model, GCE model). (2) a regional scale model (a <span class="hlt">NASA</span> unified weather research and forecast, W8F). (3) a coupled CRM and <span class="hlt">global</span> model (Goddard Multi-scale Modeling Framework, MMF), and (4) a land modeling system. The same microphysical processes, long and short wave radiative transfer and land processes and the explicit cloud-radiation and cloud-land surface interactive processes are applied in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator to use <span class="hlt">NASA</span> high-resolution satellite data to identify the strengths and weaknesses of cloud and <span class="hlt">precipitation</span> processes simulated by the model. In this talk, a review of developments and applications of the multi-scale modeling system will be presented. In particular, the results from using multi-scale modeling systems to study the interactions between clouds, <span class="hlt">precipitation</span>, and aerosols will be presented. Also how to use the multi-satellite simulator to improve <span class="hlt">precipitation</span> processes will be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19990046710','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19990046710"><span>Water Isotopes in <span class="hlt">Precipitation</span>: Data/Model Comparison for Present-Day and Past Climates</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jouzel, J.; Hoffmann, G.; Masson, V.</p> <p>1998-01-01</p> <p>Variations of HDO and H2O-18 concentrations are observed in <span class="hlt">precipitation</span> both on a geographical and on a temporal basis. These variations, resulting from successive isotopic fractionation processes at each phase change of water during its atmospheric cycle, are well documented through the IAEA/WMO network and other sources. Isotope concentrations are, in middle and high latitudes, linearly related to the annual mean temperature at the <span class="hlt">precipitation</span> site. Paleoclimatologists have used this relationship to infer paleotemperatures from isotope paleodata extractable from ice cores, deep groundwater and other such sources. For this application to be valid, however, the spatial relationship must also hold in time at a given location as the location undergoes a series of climatic changes. Progress in water isotope modeling aimed at examining and evaluating this assumption has been recently reviewed with a focus on polar regions and, more specifically, on Greenland. This article was largely based on the results obtained using the isotopic version of the <span class="hlt">NASA</span>/GISS Atmospheric General Circulation Model (AGCM) fitted with isotope tracer diagnostics. We extend this review in comparing the results of two different isotopic AGCMs (<span class="hlt">NASA</span>/GISS and ECHAM) and in examining, with a more <span class="hlt">global</span> perspective, the validity of the above assumption, i.e. the equivalence of the spatial and temporal isotope-temperature relationship. We also examine recent progress made in modeling the relationship between the conditions prevailing in moisture source regions for <span class="hlt">precipitation</span> and the deuterium-excess of that <span class="hlt">precipitation</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201404220032HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201404220032HQ.html"><span><span class="hlt">NASA</span> Earth Day 2014</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-04-22</p> <p><span class="hlt">NASA</span> Administrator Charles Bolden poses for a quick selfie with students who attended the <span class="hlt">NASA</span> sponsored Earth Day event April 22, 2014 at Union Station in Washington, DC. <span class="hlt">NASA</span> announced the "<span class="hlt">Global</span> Selfie" event as part of its "Earth Right Now" campaign, celebrating the launch of five Earth-observing missions in 2014. All selfies posted to social media with the hashtag "<span class="hlt">Global</span>Selfie" will be included in a mosaic image of Earth. Photo Credit: (<span class="hlt">NASA</span>/Aubrey Gemignani)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFM.H51H1612N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFM.H51H1612N"><span>Satellite-Enhanced Regional Downscaling for Applied Studies: Extreme <span class="hlt">Precipitation</span> Events in Southeastern South America</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nunes, A.; Gomes, G.; Ivanov, V. Y.</p> <p>2016-12-01</p> <p>Frequently found in southeastern South America during the warm season from October through May, strong and localized <span class="hlt">precipitation</span> maxima are usually associated with the presence of mesoscale convective complexes (MCCs) travelling across the region. Flashfloods and landslides can be caused by these extremes in <span class="hlt">precipitation</span>, with damages to the local communities. Heavily populated, southeastern South America hosts many agricultural activities and hydroelectric production. It encompasses one of the most important river basins in South America, the La Plata River Basin. Therefore, insufficient <span class="hlt">precipitation</span> is equally prejudicial to the region socio-economic activities. MCCs are originated in the warm season of many regions of the world, however South American MCCs are related to the most severe thunderstorms, and have significantly contributed to the <span class="hlt">precipitation</span> regime. We used the hourly outputs of Satellite-enhanced Regional Downscaling for Applied Studies (SRDAS), developed at the Federal University of Rio de Janeiro in Brazil, in the analysis of the dynamics and physical characteristics of MCCs in South America. SRDAS is the 25-km resolution downscaling of a <span class="hlt">global</span> reanalysis available from January 1998 through December 2010. The Regional Spectral Model is the SRDAS atmospheric component and assimilates satellite-based <span class="hlt">precipitation</span> estimates from the NOAA/Climate Prediction Center MORPHing technique <span class="hlt">global</span> <span class="hlt">precipitation</span> analyses. In this study, the SRDAS atmospheric and land-surface variables, <span class="hlt">global</span> reanalysis products, infrared satellite imagery, and the physical retrievals from the Atmospheric Infrared Sounder (AIRS), on board of the <span class="hlt">NASA</span>'s Aqua satellite, were used in the evaluation of the MCCs developed in southeastern South America from 2008 and 2010. Low-level circulations and vertical profiles were analyzed together to establish the relevance of the moisture transport in connection with the upper-troposphere dynamics to the development of those MCCs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040040149','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040040149"><span>The 94 GHz Cloud Radar System on a <span class="hlt">NASA</span> ER-2 Aircraft</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Li, Lihua; Heymsfield, Gerald M.; Racette, Paul E.; Tian, Lin; Zenker, Ed</p> <p>2003-01-01</p> <p>The 94-GHz (W-band) Cloud Radar System (CRS) has been developed and flown on a <span class="hlt">NASA</span> ER-2 high-altitude (20 km) aircraft. The CRS is a fully coherent, polarimeteric Doppler radar that is capable of detecting clouds and <span class="hlt">precipitation</span> from the surface up to the aircraft altitude in the lower stratosphere. The radar is especially well suited for cirrus cloud studies because of its high sensitivity and fine spatial resolution. This paper describes the CRS motivation, instrument design, specifications, calibration, and preliminary data &om <span class="hlt">NASA</span> s Cirrus Regional Study of Tropical Anvils and Cirrus Layers - Florida Area Cirrus Experiment (CRYSTAL-FACE) field campaign. The unique combination of CRS with other sensors on the ER-2 provides an unprecedented opportunity to study cloud radiative effects on the <span class="hlt">global</span> energy budget. CRS observations are being used to improve our knowledge of atmospheric scattering and attenuation characteristics at 94 GHz, and to provide datasets for algorithm implementation and validation for the upcoming <span class="hlt">NASA</span> CloudSat mission that will use a 94-GHz spaceborne cloud radar to provide the first direct <span class="hlt">global</span> survey of the vertical structure of cloud systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.B53B0555M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.B53B0555M"><span>Developing a <span class="hlt">global</span> mixed-canopy, height-variable vegetation structure dataset for estimating <span class="hlt">global</span> vegetation albedo and biomass in the <span class="hlt">NASA</span> Ent Terrestrial Biosphere Model and GISS GCM</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Montes, C.; Kiang, N. Y.; Yang, W.; Ni-Meister, W.; Schaaf, C.; Aleinov, I. D.; Jonas, J.; Zhao, F. A.; Yao, T.; Wang, Z.; Sun, Q.</p> <p>2015-12-01</p> <p>Processes determining biosphere-atmosphere coupling are strongly influenced by vegetation structure. Thus, ecosystem carbon sequestration and evapotranspiration affecting <span class="hlt">global</span> carbon and water balances will depend upon the spatial extent of vegetation, its vertical structure, and its physiological variability. To represent this <span class="hlt">globally</span>, Dynamic <span class="hlt">Global</span> Vegetation Models (DGVMs) coupled to General Circulation Models (GCMs) make use of satellite and/or model-based vegetation classifications often composed by homogeneous communities. This work aims at developing a new <span class="hlt">Global</span> Vegetation Structure Dataset (GVSD) by incorporating varying vegetation heights for mixed plant communities to be used as input to the Ent Terrestrial Biosphere Model (TBM), the DGVM coupled to the <span class="hlt">NASA</span> Goddard Institute for Space Studies (GISS) GCM. Information sources include the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover and plant functional types (PFTs) (Friedl et al., 2010), vegetation height from the Geoscience Laser Altimeter System (GLAS) on board ICESat (Ice, Cloud, and land Elevation Satellite) (Simard et al., 2011; Tang et al., 2014) along with the <span class="hlt">Global</span> Data Sets of Vegetation Leaf Area Index (LAI)3g (Zhu et al. 2013). Further PFT partitioning is performed according to a climate classification utilizing the Climate Research Unit (CRU) and the NOAA <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre (GPCC) data. Final products are a GVSD consisting of mixed plant communities (e.g. mixed forests, savannas, mixed PFTs) following the Ecosystem Demography model (Moorcroft et al., 2001) approach represented by multi-cohort community patches at the sub-grid level of the GCM, which are ensembles of identical individuals whose differences are represented by PFTs, canopy height, density and vegetation structure sensitivity to allometric parameters. To assess the sensitivity of the GISS GCM to vegetation structure, we produce a range of estimates of Ent TBM biomass and plant</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110013262','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110013262"><span>Using Multi-Scale Modeling Systems and Satellite Data to Study the <span class="hlt">Precipitation</span> Processes</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tao, Wei-Kuo; Chern, J.; Lamg, S.; Matsui, T.; Shen, B.; Zeng, X.; Shi, R.</p> <p>2011-01-01</p> <p>In recent years, exponentially increasing computer power has extended Cloud Resolving Model (CRM) integrations from hours to months, the number of computational grid points from less than a thousand to close to ten million. Three-dimensional models are now more prevalent. Much attention is devoted to <span class="hlt">precipitating</span> cloud systems where the crucial 1-km scales are resolved in horizontal domains as large as 10,000 km in two-dimensions, and 1,000 x 1,000 km2 in three-dimensions. Cloud resolving models now provide statistical information useful for developing more realistic physically based parameterizations for climate models and numerical weather prediction models. It is also expected that NWP and mesoscale model can be run in grid size similar to cloud resolving model through nesting technique. Recently, a multi-scale modeling system with unified physics was developed at <span class="hlt">NASA</span> Goddard. It consists of (l) a cloud-resolving model (Goddard Cumulus Ensemble model, GCE model), (2) a regional scale model (a <span class="hlt">NASA</span> unified weather research and forecast, WRF), (3) a coupled CRM and <span class="hlt">global</span> model (Goddard Multi-scale Modeling Framework, MMF), and (4) a land modeling system. The same microphysical processes, long and short wave radiative transfer and land processes and the explicit cloud-radiation, and cloud-land surface interactive processes are applied in this multi-scale modeling system. This modeling system has been coupled with a multi-satellite simulator to use <span class="hlt">NASA</span> high-resolution satellite data to identify the strengths and weaknesses of cloud and <span class="hlt">precipitation</span> processes simulated by the model. In this talk, the recent developments and applications of the multi-scale modeling system will be presented. In particular, the results from using multi-scale modeling system to study the <span class="hlt">precipitating</span> systems and hurricanes/typhoons will be presented. The high-resolution spatial and temporal visualization will be utilized to show the evolution of <span class="hlt">precipitation</span> processes. Also how to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC43H..05F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC43H..05F"><span>Introducing the <span class="hlt">Global</span> Fire WEather Database (GFWED)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Field, R. D.</p> <p>2015-12-01</p> <p>The Canadian Fire Weather Index (FWI) System is the mostly widely used fire danger rating system in the world. We have developed a <span class="hlt">global</span> database of daily FWI System calculations beginning in 1980 called the <span class="hlt">Global</span> Fire WEather Database (GFWED) gridded to a spatial resolution of 0.5° latitude by 2/3° longitude. Input weather data were obtained from the <span class="hlt">NASA</span> Modern Era Retrospective-Analysis for Research (MERRA), and two different estimates of daily <span class="hlt">precipitation</span> from rain gauges over land. FWI System Drought Code calculations from the gridded datasets were compared to calculations from individual weather station data for a representative set of 48 stations in North, Central and South America, Europe, Russia, Southeast Asia and Australia. Agreement between gridded calculations and the station-based calculations tended to be most different at low latitudes for strictly MERRA-based calculations. Strong biases could be seen in either direction: MERRA DC over the Mato Grosso in Brazil reached unrealistically high values exceeding DC=1500 during the dry season but was too low over Southeast Asia during the dry season. These biases are consistent with those previously-identified in MERRA's <span class="hlt">precipitation</span> and reinforce the need to consider alternative sources of <span class="hlt">precipitation</span> data. GFWED is being used by researchers around the world for analyzing historical relationships between fire weather and fire activity at large scales, in identifying large-scale atmosphere-ocean controls on fire weather, and calibration of FWI-based fire prediction models. These applications will be discussed. More information on GFWED can be found at http://data.giss.<span class="hlt">nasa</span>.gov/impacts/gfwed/</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_20");'>20</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li class="active"><span>22</span></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_22 --> <div id="page_23" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="441"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201404220012HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201404220012HQ.html"><span><span class="hlt">NASA</span> Earth Day 2014</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-04-22</p> <p><span class="hlt">NASA</span> Astronaut John Mace Grunsfeld takes a quick selfie with astronauts at the International Space Station at the <span class="hlt">NASA</span> sponsored Earth Day event April 22, 2014 at Union Station in Washington, DC. <span class="hlt">NASA</span> announced the "<span class="hlt">Global</span> Selfie" event as part of its "Earth Right Now" campaign, celebrating the launch of five Earth-observing missions in 2014. All selfies posted to social media with the hashtag "<span class="hlt">Global</span>Selfie" will be included in a mosaic image of Earth. Photo Credit: (<span class="hlt">NASA</span>/Aubrey Gemignani)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ThApC.132...55H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ThApC.132...55H"><span>Uncertainty of <span class="hlt">global</span> summer <span class="hlt">precipitation</span> in the CMIP5 models: a comparison between high-resolution and low-resolution models</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Huang, Danqing; Yan, Peiwen; Zhu, Jian; Zhang, Yaocun; Kuang, Xueyuan; Cheng, Jing</p> <p>2018-04-01</p> <p>The uncertainty of <span class="hlt">global</span> summer <span class="hlt">precipitation</span> simulated by the 23 CMIP5 CGCMs and the possible impacts of model resolutions are investigated in this study. Large uncertainties exist over the tropical and subtropical regions, which can be mainly attributed to convective <span class="hlt">precipitation</span> simulation. High-resolution models (HRMs) and low-resolution models (LRMs) are further investigated to demonstrate their different contributions to the uncertainties of the ensemble mean. It shows that the high-resolution model ensemble means (HMME) and low-resolution model ensemble mean (LMME) mitigate the biases between the MME and observation over most continents and oceans, respectively. The HMME simulates more <span class="hlt">precipitation</span> than the LMME over most oceans, but less <span class="hlt">precipitation</span> over some continents. The dominant <span class="hlt">precipitation</span> category in the HRMs (LRMs) is the heavy <span class="hlt">precipitation</span> (moderate <span class="hlt">precipitation</span>) over the tropic regions. The combinations of convective and stratiform <span class="hlt">precipitation</span> are also quite different: the HMME has much higher ratio of stratiform <span class="hlt">precipitation</span> while the LMME has more convective <span class="hlt">precipitation</span>. Finally, differences in <span class="hlt">precipitation</span> between the HMME and LMME can be traced to their differences in the SST simulations via the local and remote air-sea interaction.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140002251','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140002251"><span><span class="hlt">Global</span> Simulation of Proton <span class="hlt">Precipitation</span> Due to Field Line Curvature During Substorms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Gilson, M. L.; Raeder, J.; Donovan, E.; Ge, Y. S.; Kepko, L.</p> <p>2012-01-01</p> <p>The low latitude boundary of the proton aurora (known as the Isotropy Boundary or IB) marks an important boundary between empty and full downgoing loss cones. There is significant evidence that the IB maps to a region in the magnetosphere where the ion gyroradius becomes comparable to the local field line curvature. However, the location of the IB in the magnetosphere remains in question. In this paper, we show simulated proton <span class="hlt">precipitation</span> derived from the Field Line Curvature (FLC) model of proton scattering and a <span class="hlt">global</span> magnetohydrodynamic simulation during two substorms. The simulated proton <span class="hlt">precipitation</span> drifts equatorward during the growth phase, intensifies at onset and reproduces the azimuthal splitting published in previous studies. In the simulation, the pre-onset IB maps to 7-8 RE for the substorms presented and the azimuthal splitting is caused by the development of the substorm current wedge. The simulation also demonstrates that the central plasma sheet temperature can significantly influence when and where the azimuthal splitting takes place.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-20170609-PH_KLS01_0082.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-20170609-PH_KLS01_0082.html"><span>Electrostatic <span class="hlt">Precipitator</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-06-09</p> <p>In their Swamp Works laboratory at <span class="hlt">NASA</span>'s Kennedy Space Center, Dr. Carlos Calle and Jay Phillips are testing an electrostatic <span class="hlt">precipitator</span> using dust that closely approximates the make-up of that on Mars. They upgraded their electrostatic <span class="hlt">precipitator</span> to fully simulate Martian atmosphere by designing and constructing a dust aerosolization pre-chamber. The agency's Journey to Mars requires cutting-edge technologies to solve the problems explorers will face on the Red Planet. Scientists are developing some of the needed solutions by adapting a device to remove the ever-present dust from valuable elements in the Martian atmosphere. Those commodities include oxygen, water and methane.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-NHQ+2017+0120+TWAN.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-NHQ+2017+0120+TWAN.html"><span>Warmest <span class="hlt">Global</span> Temperature on Record on This Week @<span class="hlt">NASA</span> – January 20, 2017</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-01-20</p> <p><span class="hlt">NASA</span> and the National Oceanic and Atmospheric Administration (NOAA) announced on Jan. 18, that <span class="hlt">global</span> surface temperatures in 2016 were the warmest since modern record keeping began in 1880. The finding was based on results of independent analyses by both agencies. According to analysis by scientists at NASA’s Goddard Institute for Space Studies (GISS) in New York, 2016 is the third year in a row to set a new record for <span class="hlt">global</span> average surface temperatures, further demonstrating a long-term warming trend. Also, Cygnus Cargo Module Arrives at KSC, Up in 30 Seconds, and Remembering Gene Cernan.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMGC34A..01N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMGC34A..01N"><span>Interpreting the rich-get-richer effect in <span class="hlt">precipitation</span> change under <span class="hlt">global</span> warming: issues at monsoon scales</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neelin, J.; Langenbrunner, B.; Meyerson, J. E.</p> <p>2012-12-01</p> <p><span class="hlt">Precipitation</span> changes under <span class="hlt">global</span> warming are often discussed in terms of wet areas receiving more <span class="hlt">precipitation</span> and dry areas receiving less, sometimes termed the "rich-get-richer" effect. Since the first use of this term, it has been known that contributions can be broken diagnostically into a relatively straightforward tendency associated with moisture increases acted on by the climatological circulation and dynamical feedbacks associated with changes in circulation. A number of studies indicate the latter to be prone to yield scatter in model projections of <span class="hlt">precipitation</span> change. At the spatial scales of the major monsoon regions, substantial contributions from dynamical feedbacks tend to occur. Factors affecting this dependence will be reviewed with an eye to asking how the community can make succinct statements without oversimplifying the challenges at the regional scale.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20050203848','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20050203848"><span><span class="hlt">NASA</span>'s Proposed Requirements for the <span class="hlt">Global</span> Aeronautical Network and a Summary of Responses</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ivancic, William D.</p> <p>2005-01-01</p> <p>In October 2003, <span class="hlt">NASA</span> embarked on the ACAST project (Advanced CNS Architectures and System Technologies) to perform research and development on selected communications, navigation, and surveillance (CNS) technologies to enhance the performance of the National Airspace System (NAS). The Networking Research Group of <span class="hlt">NASA</span>'s ACAST project, in order to ensure <span class="hlt">global</span> interoperability and deployment, formulated their own salient list of requirements. Many of these are not necessarily of concern to the FAA, but are a concern to those who have to deploy, operate, and pay for these systems. These requirements were submitted to the world s industries, governments, and academic institutions for comments. The results of that request for comments are summarized in this paper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110015916','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110015916"><span><span class="hlt">Global</span> Microwave Imager (GMI) Spin Mechanism Assembly Design, Development, and Performance Test Results</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kubitschek, Michael; Woolaway, Scott; Guy, Larry; Dayton, Chris; Berdanier, Barry; Newell, David; Pellicciotti, Joseph W.</p> <p>2011-01-01</p> <p>The GMI Spin Mechanism Assembly (SMA) is a precision bearing and power transfer drive assembly mechanism that supports and spins the <span class="hlt">Global</span> Microwave Imager (GMI) instrument at a constant rate of 32 rpm continuously for the 3 year plus mission life. The GMI instrument will fly on the core <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) spacecraft and will be used to make calibrated radiometric measurements at multiple microwave frequencies and polarizations. The GPM mission is an international effort managed by the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) to improve climate, weather, and hydro-meteorological predictions through more accurate and frequent <span class="hlt">precipitation</span> measurements [1]. Ball Aerospace and Technologies Corporation (BATC) was selected by <span class="hlt">NASA</span> Goddard Space Flight Center (GSFC) to design, build, and test the GMI instrument. The SMA design has to meet a challenging set of requirements and is based on BATC space mechanisms heritage and lessons learned design changes made to the WindSat BAPTA mechanism that is currently operating on-orbit and has recently surpassed 8 years of Flight operation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.H12E..05E','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.H12E..05E"><span>Performance of <span class="hlt">Precipitation</span> Algorithms During IPHEx and Observations of Microphysical Characteristics in Complex Terrain</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Erlingis, J. M.; Gourley, J. J.; Kirstetter, P.; Anagnostou, E. N.; Kalogiros, J. A.; Anagnostou, M.</p> <p>2015-12-01</p> <p>An Intensive Observation Period (IOP) for the Integrated <span class="hlt">Precipitation</span> and Hydrology Experiment (IPHEx), part of <span class="hlt">NASA</span>'s Ground Validation campaign for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement Mission satellite took place from May-June 2014 in the Smoky Mountains of western North Carolina. The National Severe Storms Laboratory's mobile dual-pol X-band radar, NOXP, was deployed in the Pigeon River Basin during this time and employed various scanning strategies, including more than 1000 Range Height Indicator (RHI) scans in coordination with another radar and research aircraft. Rain gauges and disdrometers were also positioned within the basin to verify <span class="hlt">precipitation</span> estimates and estimation of microphysical parameters. The performance of the SCOP-ME post-processing algorithm on NOXP data is compared with real-time and near real-time <span class="hlt">precipitation</span> estimates with varying spatial resolutions and quality control measures (Stage IV gauge-corrected radar estimates, Multi-Radar/Multi-Sensor System Quantitative <span class="hlt">Precipitation</span> Estimates, and CMORPH satellite estimates) to assess the utility of a gap-filling radar in complex terrain. Additionally, the RHI scans collected in this IOP provide a valuable opportunity to examine the evolution of microphysical characteristics of convective and stratiform <span class="hlt">precipitation</span> as they impinge on terrain. To further the understanding of orographically enhanced <span class="hlt">precipitation</span>, multiple storms for which RHI data are available are considered.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JAMES..10..284C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JAMES..10..284C"><span>Impact of <span class="hlt">Precipitating</span> Ice Hydrometeors on Longwave Radiative Effect Estimated by a <span class="hlt">Global</span> Cloud-System Resolving Model</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chen, Ying-Wen; Seiki, Tatsuya; Kodama, Chihiro; Satoh, Masaki; Noda, Akira T.</p> <p>2018-02-01</p> <p>Satellite observation and general circulation model (GCM) studies suggest that <span class="hlt">precipitating</span> ice makes nonnegligible contributions to the radiation balance of the Earth. However, in most GCMs, <span class="hlt">precipitating</span> ice is diagnosed and its radiative effects are not taken into account. Here we examine the longwave radiative impact of <span class="hlt">precipitating</span> ice using a <span class="hlt">global</span> nonhydrostatic atmospheric model with a double-moment cloud microphysics scheme. An off-line radiation model is employed to determine cloud radiative effects according to the amount and altitude of each type of ice hydrometeor. Results show that the snow radiative effect reaches 2 W m-2 in the tropics, which is about half the value estimated by previous studies. This effect is strongly dependent on the vertical separation of ice categories and is partially generated by differences in terminal velocities, which are not represented in GCMs with diagnostic <span class="hlt">precipitating</span> ice. Results from sensitivity experiments that artificially change the categories and altitudes of <span class="hlt">precipitating</span> ice show that the simulated longwave heating profile and longwave radiation field are sensitive to the treatment of <span class="hlt">precipitating</span> ice in models. This study emphasizes the importance of incorporating appropriate treatments for the radiative effects of <span class="hlt">precipitating</span> ice in cloud and radiation schemes in GCMs in order to capture the cloud radiative effects of upper level clouds.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20060013032','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20060013032"><span>The TRMM Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA): Quasi-<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Estimates at Fine Scales</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David T.; Gu, Guojun; Nelkin, Eric J.; Bowman, Kenneth P.; Stocker, Erich; Wolff, David B.</p> <p>2006-01-01</p> <p>The TRMM Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) provides a calibration-based sequential scheme for combining multiple <span class="hlt">precipitation</span> estimates from satellites, as well as gauge analyses where feasible, at fine scales (0.25 degrees x 0.25 degrees and 3-hourly). It is available both after and in real time, based on calibration by the TRMM Combined Instrument and TRMM Microwave Imager <span class="hlt">precipitation</span> products, respectively. Only the after-real-time product incorporates gauge data at the present. The data set covers the latitude band 50 degrees N-S for the period 1998 to the delayed present. Early validation results are as follows: The TMPA provides reasonable performance at monthly scales, although it is shown to have <span class="hlt">precipitation</span> rate dependent low bias due to lack of sensitivity to low <span class="hlt">precipitation</span> rates in one of the input products (based on AMSU-B). At finer scales the TMPA is successful at approximately reproducing the surface-observation-based histogram of <span class="hlt">precipitation</span>, as well as reasonably detecting large daily events. The TMPA, however, has lower skill in correctly specifying moderate and light event amounts on short time intervals, in common with other fine-scale estimators. Examples are provided of a flood event and diurnal cycle determination.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160005785&hterms=Ocean&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3DOcean','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160005785&hterms=Ocean&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D90%26Ntt%3DOcean"><span>A CloudSat-CALIPSO View of Cloud and <span class="hlt">Precipitation</span> Properties Across Cold Fronts over the <span class="hlt">Global</span> Oceans</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Naud, Catherine M.; Posselt, Derek J.; van den Heever, Susan C.</p> <p>2015-01-01</p> <p>The distribution of cloud and <span class="hlt">precipitation</span> properties across oceanic extratropical cyclone cold fronts is examined using four years of combined CloudSat radar and CALIPSO lidar retrievals. The <span class="hlt">global</span> annual mean cloud and <span class="hlt">precipitation</span> distributions show that low-level clouds are ubiquitous in the post frontal zone while higher-level cloud frequency and <span class="hlt">precipitation</span> peak in the warm sector along the surface front. Increases in temperature and moisture within the cold front region are associated with larger high-level but lower mid-/low level cloud frequencies and <span class="hlt">precipitation</span> decreases in the cold sector. This behavior seems to be related to a shift from stratiform to convective clouds and <span class="hlt">precipitation</span>. Stronger ascent in the warm conveyor belt tends to enhance cloudiness and <span class="hlt">precipitation</span> across the cold front. A strong temperature contrast between the warm and cold sectors also encourages greater post-cold-frontal cloud occurrence. While the seasonal contrasts in environmental temperature, moisture, and ascent strength are enough to explain most of the variations in cloud and <span class="hlt">precipitation</span> across cold fronts in both hemispheres, they do not fully explain the differences between Northern and Southern Hemisphere cold fronts. These differences are better explained when the impact of the contrast in temperature across the cold front is also considered. In addition, these large-scale parameters do not explain the relatively large frequency in springtime post frontal <span class="hlt">precipitation</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19930068715&hterms=evapotranspiration&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Devapotranspiration','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19930068715&hterms=evapotranspiration&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Devapotranspiration"><span><span class="hlt">Global</span> fields of soil moisture and land surface evapotranspiration derived from observed <span class="hlt">precipitation</span> and surface air temperature</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mintz, Y.; Walker, G. K.</p> <p>1993-01-01</p> <p>The <span class="hlt">global</span> fields of normal monthly soil moisture and land surface evapotranspiration are derived with a simple water budget model that has <span class="hlt">precipitation</span> and potential evapotranspiration as inputs. The <span class="hlt">precipitation</span> is observed and the potential evapotranspiration is derived from the observed surface air temperature with the empirical regression equation of Thornthwaite (1954). It is shown that at locations where the net surface radiation flux has been measured, the potential evapotranspiration given by the Thornthwaite equation is in good agreement with those obtained with the radiation-based formulations of Priestley and Taylor (1972), Penman (1948), and Budyko (1956-1974), and this provides the justification for the use of the Thornthwaite equation. After deriving the <span class="hlt">global</span> fields of soil moisture and evapotranspiration, the assumption is made that the potential evapotranspiration given by the Thornthwaite equation and by the Priestley-Taylor equation will everywhere be about the same; the inverse of the Priestley-Taylor equation is used to obtain the normal monthly <span class="hlt">global</span> fields of net surface radiation flux minus ground heat storage. This and the derived evapotranspiration are then used in the equation for energy conservation at the surface of the earth to obtain the <span class="hlt">global</span> fields of normal monthly sensible heat flux from the land surface to the atmosphere.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20050182936','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20050182936"><span>Alloy <span class="hlt">NASA</span>-HR-1</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Chen, Po-Shou; Mitchell, Michael</p> <p>2005-01-01</p> <p><span class="hlt">NASA</span>-HR-1 is a high-strength Fe-Ni-base superalloy that resists high-pressure hydrogen environment embrittlement (HEE), oxidation, and corrosion. Originally derived from JBK-75, <span class="hlt">NASA</span>-HR-1 has exceptional HEE resistance that can be attributed to its gamma-matrix and eta-free (Ni3Ti) grain boundaries. The chemistry was formulated using a design approach capable of accounting for the simultaneous effects of several alloy additions. This approach included: (1) Systematically modifying gamma-matrix compositions based on JBK-75; (2) Increasing gamma (Ni3(Al,Ti)) volume fraction and adding gamma-matrix strengthening elements to obtain higher strength; and (3) Obtaining <span class="hlt">precipitate</span>-free grain boundaries. The most outstanding attribute of <span class="hlt">NASA</span>-HR-1 is its ability to resist HEE while showing much improved strength. <span class="hlt">NASA</span>-HR-1 has approximately 25% higher yield strength than JXK-75 and exhibits tensile elongation of more than 20% with no ductility loss in a hydrogen environment at 5 ksi, an achievement unparalleled by any other commercially available alloy. Its Cr and Ni contents provide exceptional resistance to environments that promote oxidation and corrosion. Microstructural stability was maintained by improved solid solubility of the gamma-matrix, along with the addition of alloying elements to retard eta (Ni3Ti) <span class="hlt">precipitation</span>. <span class="hlt">NASA</span>-HR-1 represents a new system that greatly extends the compositional ranges of existing HEE-resistant Fe-Ni-base superalloys.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140017068','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140017068"><span>Evolution of Software-Only-Simulation at <span class="hlt">NASA</span> IV and V</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>McCarty, Justin; Morris, Justin; Zemerick, Scott</p> <p>2014-01-01</p> <p>Software-Only-Simulations have been an emerging but quickly developing field of study throughout <span class="hlt">NASA</span>. The <span class="hlt">NASA</span> Independent Verification Validation (IVV) Independent Test Capability (ITC) team has been rapidly building a collection of simulators for a wide range of <span class="hlt">NASA</span> missions. ITC specializes in full end-to-end simulations that enable developers, VV personnel, and operators to test-as-you-fly. In four years, the team has delivered a wide variety of spacecraft simulations that have ranged from low complexity science missions such as the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Management (GPM) satellite and the Deep Space Climate Observatory (DSCOVR), to the extremely complex missions such as the James Webb Space Telescope (JWST) and Space Launch System (SLS).This paper describes the evolution of ITCs technologies and processes that have been utilized to design, implement, and deploy end-to-end simulation environments for various <span class="hlt">NASA</span> missions. A comparison of mission simulators are discussed with focus on technology and lessons learned in complexity, hardware modeling, and continuous integration. The paper also describes the methods for executing the missions unmodified flight software binaries (not cross-compiled) for verification and validation activities.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A43E3319K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A43E3319K"><span>Diagnostic Evaluation of Nmme <span class="hlt">Precipitation</span> and Temperature Forecasts for the Continental United States</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Karlovits, G. S.; Villarini, G.; Bradley, A.; Vecchi, G. A.</p> <p>2014-12-01</p> <p>Forecasts of seasonal <span class="hlt">precipitation</span> and temperature can provide information in advance of potentially costly disruptions caused by flood and drought conditions. The consequences of these adverse hydrometeorological conditions may be mitigated through informed planning and response, given useful and skillful forecasts of these conditions. However, the potential value and applicability of these forecasts is unavoidably linked to their forecast quality. In this work we evaluate the skill of four <span class="hlt">global</span> circulation models (GCMs) part of the North American Multi-Model Ensemble (NMME) project in forecasting seasonal <span class="hlt">precipitation</span> and temperature over the continental United States. The GCMs we consider are the Geophysical Fluid Dynamics Laboratory (GFDL)-CM2.1, <span class="hlt">NASA</span> <span class="hlt">Global</span> Modeling and Assimilation Office (<span class="hlt">NASA</span>-GMAO)-GEOS-5, The Center for Ocean-Land-Atmosphere Studies - Rosenstiel School of Marine & Atmospheric Science (COLA-RSMAS)-CCSM3, Canadian Centre for Climate Modeling and Analysis (CCCma) - CanCM4. These models are available at a resolution of 1-degree and monthly, with a minimum forecast lead time of nine months, up to one year. These model ensembles are compared against gridded monthly temperature and <span class="hlt">precipitation</span> data created by the PRISM Climate Group, which represent the reference observation dataset in this work. Aspects of forecast quality are quantified using a diagnostic skill score decomposition that allows the evaluation of the potential skill and conditional and unconditional biases associated with these forecasts. The evaluation of the decomposed GCM forecast skill over the continental United States, by season and by lead time allows for a better understanding of the utility of these models for flood and drought predictions. Moreover, it also represents a diagnostic tool that could provide model developers feedback about strengths and weaknesses of their models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050070878&hterms=Influence+clouds+climate&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DInfluence%2Bclouds%2Bclimate','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050070878&hterms=Influence+clouds+climate&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DInfluence%2Bclouds%2Bclimate"><span>Variability and Extremes of <span class="hlt">Precipitation</span> in the <span class="hlt">Global</span> Climate as Determined by the 25-Year GEWEX/GPCP Data Set</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, R. F.; Gu, G.; Curtis, S.; Huffman, G. J.; Bolvin, D. T.; Nelkin, E. J.</p> <p>2005-01-01</p> <p>The <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) 25-year <span class="hlt">precipitation</span> data set is used to evaluate the variability and extremes on <span class="hlt">global</span> and regional scales. The variability of <span class="hlt">precipitation</span> year-to-year is evaluated in relation to the overall lack of a significant <span class="hlt">global</span> trend and to climate events such as ENSO and volcanic eruptions. The validity of conclusions and limitations of the data set are checked by comparison with independent data sets (e.g., TRMM). The GPCP data set necessarily has a heterogeneous time series of input data sources, so part of the assessment described above is to test the initial results for potential influence by major data boundaries in the record. Regional trends, or inter-decadal changes, are also analyzed to determine validity and correlation with other long-term data sets related to the hydrological cycle (e.g., clouds and ocean surface fluxes). Statistics of extremes (both wet and dry) are analyzed at the monthly time scale for the 25 years. A preliminary result of increasing frequency of extreme monthly values will be a focus to determine validity. Daily values for an eight-year are also examined for variation in extremes and compared to the longer monthly-based study.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70020587','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70020587"><span>Decadal variability of <span class="hlt">precipitation</span> over Western North America</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Cayan, D.R.; Dettinger, M.D.; Diaz, Henry F.; Graham, N.E.</p> <p>1998-01-01</p> <p>Decadal (>7- yr period) variations of <span class="hlt">precipitation</span> over western North America account for 20%-50% of the variance of annual <span class="hlt">precipitation</span>. Spatially, the decadal variability is broken into several regional [O(1000 km)] components. These decadal variations are contributed by fluctuations in <span class="hlt">precipitation</span> from seasons of the year that vary from region to region and that are not necessarily concentrated in the wettest season(s) alone. The <span class="hlt">precipitation</span> variations are linked to various decadal atmospheric circulation and SST anomaly patterns where scales range from regional to <span class="hlt">global</span> scales and that emphasize tropical or extratropical connections, depending upon which <span class="hlt">precipitation</span> region is considered. Further, wet or dry decades are associated with changes in frequency of at least a few short-period circulation 'modes' such as the Pacific-North American pattern. <span class="hlt">Precipitation</span> fluctuations over the southwestern United States and the Saskatchewan region of western Canada are associated with extensive shifts of sea level pressure and SST anomalies, suggesting that they are components of low-frequency <span class="hlt">precipitation</span> variability from <span class="hlt">global</span>-scale climate proceses. Consistent with the <span class="hlt">global</span> scale of its pressure and SST connection, the Southwest decadal <span class="hlt">precipitation</span> is aligned with opposing <span class="hlt">precipitation</span> fluctuations in northern Africa.Decadal (>7-yr period) variations of <span class="hlt">precipitation</span> over western North America account for 20%-50% of the variance of annual <span class="hlt">precipitation</span>. Spatially, the decadal variability is broken into several regional [O(1000 km)] components. These decadal variations are contributed by fluctuations in <span class="hlt">precipitation</span> from seasons of the year that vary from region to region and that are not necessarily concentrated in the wettest season(s) alone. The <span class="hlt">precipitation</span> variations are linked to various decadal atmospheric circulation and SST anomaly patterns where scales range from regional to <span class="hlt">global</span> scales and that emphasize tropical or extratropical</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990107392&hterms=conjunctions&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dconjunctions','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990107392&hterms=conjunctions&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dconjunctions"><span><span class="hlt">Global</span> Dynamics of Dayside Auroral <span class="hlt">Precipitation</span> in Conjunction with Solar Wind Pressure Pulses</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Brittnacher, M.; Chua, D.; Fillingim, M.; Parks, G. K.; Spann, James F., Jr.; Germany, G. A.; Carlson, C. W.; Greenwald, R. A.</p> <p>1999-01-01</p> <p><span class="hlt">Global</span> observation of the dayside auroral region by the Ultraviolet Imager (UVI) during transient solar wind pressure pulse events on October 1, 1997 has revealed unusual features in the auroral <span class="hlt">precipitation</span>. The auroral arc structure on the dayside, possibly connected with the LLBL, split into 2 arc structures; one moving poleward and fading over a 5 min period, and the other stationary or slightly shifted equatorward (by changes in the x component). The y component was large and positive, and the z component was small and negative. The splitting of the arc structure extended from 9 to 15 MLT and was concurrent with an enhancement of the convection in the cusp region identified by SuperDARN observations. The convection reversal on the morningside was adjacent to and poleward of the weak lower latitude band of <span class="hlt">precipitation</span>. The sensitivity of the UVI instrument enabled observation of arc structures down to about 0.2 erg electron energy flux, as confirmed by comparison with particle measurements from the FAST satellite for other dayside events. Removal of the spacecraft wobble by PIXON image reconstruction restored the original resolution of the UVI of about 40 km from apogee. This event is being analyzed in connection with a larger study of <span class="hlt">global</span> dynamics of dayside energy and momentum transfer related to changes in IMF conditions using UVI images in conjunction with observations from FAST and SuperDARN.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790014483','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790014483"><span>Ozone measurement system for <span class="hlt">NASA</span> <span class="hlt">global</span> air sampling program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tiefermann, M. W.</p> <p>1979-01-01</p> <p>The ozone measurement system used in the <span class="hlt">NASA</span> <span class="hlt">Global</span> Air Sampling Program is described. The system uses a commercially available ozone concentration monitor that was modified and repackaged so as to operate unattended in an aircraft environment. The modifications required for aircraft use are described along with the calibration techniques, the measurement of ozone loss in the sample lines, and the operating procedures that were developed for use in the program. Based on calibrations with JPL's 5-meter ultraviolet photometer, all previously published GASP ozone data are biased high by 9 percent. A system error analysis showed that the total system measurement random error is from 3 to 8 percent of reading (depending on the pump diaphragm material) or 3 ppbv, whichever are greater.</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li class="active"><span>23</span></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_23 --> <div id="page_24" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="461"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFM.H51A1352S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFM.H51A1352S"><span>UC Irvine CHRS Real-time <span class="hlt">Global</span> Satellite <span class="hlt">Precipitation</span> Monitoring System (G-WADI PERSIANN-CCS GeoServer) for Hydrometeorological Applications</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Sorooshian, S.; Hsu, K. L.; Gao, X.; Imam, B.; Nguyen, P.; Braithwaite, D.; Logan, W. S.; Mishra, A.</p> <p>2015-12-01</p> <p>The G-WADI <span class="hlt">Precipitation</span> Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System (PERSIANN-CCS) GeoServer has been successfully developed by the Center for Hydrometeorology and Remote Sensing (CHRS) at the University of California Irvine in collaboration with the UNESCO's International Hydrological Programme (IHP) and a number of its international centers. The system employs state-of-the-art technologies in remote sensing and artificial intelligence to estimate <span class="hlt">precipitation</span> <span class="hlt">globally</span> from satellite imagery in real-time and high spatiotemporal resolution (4km, hourly). It offers graphical tools and data service to help the user in emergency planning and management for natural disasters related to hydrological processes. The G-WADI PERSIANN-CCS GeoServer has been upgraded with new user-friendly functionalities. The <span class="hlt">precipitation</span> data generated by the GeoServer is disseminated to the user community through support provided by ICIWaRM (The International Center for Integrated Water Resources Management), UNESCO and UC Irvine. Recently a number of new applications for mobile devices have been developed by our students. The RainMapper has been available on App Store and Google Play for the real-time PERSIANN-CCS observations. A <span class="hlt">global</span> crowd sourced rainfall reporting system named iRain has also been developed to engage the public <span class="hlt">globally</span> to provide qualitative information about real-time <span class="hlt">precipitation</span> in their location which will be useful in improving the quality of the PERSIANN-CCS data. A number of recent examples of the application and use of the G-WADI PERSIANN-CCS GeoServer information will also be presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910018383','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910018383"><span>The <span class="hlt">NASA</span>/MSFC <span class="hlt">global</span> reference atmospheric model: 1990 version (GRAM-90). Part 2: Program/data listings</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Justus, C. G.; Alyea, F. N.; Cunnold, D. M.; Jeffries, W. R., III; Johnson, D. L.</p> <p>1991-01-01</p> <p>A new (1990) version of the <span class="hlt">NASA</span>/MSFC <span class="hlt">Global</span> Reference Atmospheric Model (GRAM-90) was completed and the program and key data base listing are presented. GRAM-90 incorporate extensive new data, mostly collected under the Middle Atmosphere Program, to produce a completely revised middle atmosphere model (20 to 120 km). At altitudes greater than 120 km, GRAM-90 uses the <span class="hlt">NASA</span> Marshall Engineering Thermosphere model. Complete listings of all program and major data bases are presented. Also, a test case is included.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMED31D..02C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMED31D..02C"><span>The <span class="hlt">NASA</span> <span class="hlt">Global</span> Climate Change Education Project: An Integrated Effort to Improve the Teaching and Learning about Climate Change (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chambers, L. H.; Pippin, M. R.; Welch, S.; Spruill, K.; Matthews, M. J.; Person, C.</p> <p>2010-12-01</p> <p>The <span class="hlt">NASA</span> <span class="hlt">Global</span> Climate Change Education (GCCE) Project, initiated in 2008, seeks to: - improve the teaching and learning about <span class="hlt">global</span> climate change in elementary and secondary schools, on college campuses, and through lifelong learning; - increase the number of people, particularly high school and undergraduate students, using <span class="hlt">NASA</span> Earth observation data, Earth system models, and/or simulations to investigate and analyze <span class="hlt">global</span> climate change issues; - increase the number of undergraduate students prepared for employment and/or to enter graduate school in technical fields relevant to <span class="hlt">global</span> climate change. Through an annual solicitation, proposals are requested for projects that address these goals using a variety of approaches. These include using <span class="hlt">NASA</span> Earth system data, interactive models and/or simulations; providing research experiences for undergraduate or community college students, or for pre- or in-service teachers; or creating long-term teacher professional development experiences. To date, 57 projects have been funded to pursue these goals (22 in 2008, 18 in 2009, and 17 in 2010), each for a 2-3 year period. The vast majority of awards address either teacher professional development, or use of data, models, or simulations; only 7 awards have been made for research experiences. <span class="hlt">NASA</span>, with assistance from the Virginia Space Grant Consortium, is working to develop these awardees into a synergistic community that works together to maximize its impact. This paper will present examples of collaborations that are evolving within this developing community. It will also introduce the opportunities available in fiscal year 2011, when a change in emphasis is expected for the project as it moves within the <span class="hlt">NASA</span> Office of Education Minority University Research and Education Program (MUREP).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040031805&hterms=urbanization&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Durbanization','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040031805&hterms=urbanization&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Durbanization"><span>Status of <span class="hlt">NASA</span> Satellite, Field Observations, and Numerical Modeling Addressing the Impact of Urbanization on Short and Long Term <span class="hlt">Precipitation</span> Variability</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Shepherd, J. Marshall; Manyin, Michael; Burian, Steve; Garza, Carlos</p> <p>2003-01-01</p> <p>There is renewed interest in the impacts of urbanization on <span class="hlt">global</span> change as witnessed by special sessions at the Fall AGU and Annual AMS meeting. A comprehensive satellite, modeling, and field campaign program is underway to assess the impact of urbanization on <span class="hlt">precipitation</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..1810297M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..1810297M"><span>Developing a <span class="hlt">global</span> mixed-canopy, height-variable vegetation structure dataset for estimating <span class="hlt">global</span> vegetation albedo by a clumped canopy radiative transfer scheme in the <span class="hlt">NASA</span> Ent Terrestrial Biosphere Model and GISS GCM</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Montes, Carlo; Kiang, Nancy Y.; Ni-Meister, Wenge; Yang, Wenze; Schaaf, Crystal; Aleinov, Igor; Jonas, Jeffrey A.; Zhao, Feng; Yao, Tian; Wang, Zhuosen; Sun, Qingsong; Carrer, Dominique</p> <p>2016-04-01</p> <p>Processes determining biosphere-atmosphere coupling are strongly influenced by vegetation structure. Thus, ecosystem carbon sequestration and evapotranspiration affecting <span class="hlt">global</span> carbon and water balances will depend upon the spatial extent of vegetation, its vertical structure, and its physiological variability. To represent this <span class="hlt">globally</span>, Dynamic <span class="hlt">Global</span> Vegetation Models (DGVMs) coupled to General Circulation Models (GCMs) make use of satellite and/or model-based vegetation classifications often composed by homogeneous communities. This work aims at developing a new <span class="hlt">Global</span> Vegetation Structure Dataset (GVSD) by incorporating varying vegetation heights for mixed plant communities to be used as boundary conditions to the Analytical Clumped Two-Stream (ACTS) canopy radiative transfer scheme (Ni-Meister et al., 2010) incorporated into the <span class="hlt">NASA</span> Ent Terrestrial Biosphere Model (TBM), the DGVM coupled to the <span class="hlt">NASA</span> Goddard Institute for Space Studies (GISS) GCM. Information sources about land surface and vegetation characteristics obtained from a number of earth observation platforms and algorithms include the Moderate Resolution Imaging Spectroradiometer (MODIS) land cover and plant functional types (PFTs) (Friedl et al., 2010), soil albedo derived from MODIS (Carrer et al., 2014), along with vegetation height from the Geoscience Laser Altimeter System (GLAS) on board ICESat (Ice, Cloud, and land Elevation Satellite) (Simard et al., 2011; Tang et al., 2014). Three widely used Leaf Area Index (LAI) products are compared as input to the GVSD and ACTS forcing in terms of vegetation albedo: <span class="hlt">Global</span> Data Sets of Vegetation (LAI)3g (Zhu et al. 2013), Beijing Normal University LAI (Yuan et al., 2011), and MODIS MOD15A2H product (Yang et al., 2006). Further PFT partitioning is performed according to a climate classification utilizing the Climate Research Unit (CRU; Harris et al., 2013) and the NOAA <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Centre (GPCC; Scheider et al., 2014) data. Final</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170003704','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170003704"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Estimates from Cross-Track Passive Microwave Observations Using a Physically-Based Retrieval Scheme</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kidd, Chris; Matsui, Toshi; Chern, Jiundar; Mohr, Karen; Kummerow, Christian; Randel, Dave</p> <p>2015-01-01</p> <p>The estimation of <span class="hlt">precipitation</span> across the globe from satellite sensors provides a key resource in the observation and understanding of our climate system. Estimates from all pertinent satellite observations are critical in providing the necessary temporal sampling. However, consistency in these estimates from instruments with different frequencies and resolutions is critical. This paper details the physically based retrieval scheme to estimate <span class="hlt">precipitation</span> from cross-track (XT) passive microwave (PM) sensors on board the constellation satellites of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission. Here the Goddard profiling algorithm (GPROF), a physically based Bayesian scheme developed for conically scanning (CS) sensors, is adapted for use with XT PM sensors. The present XT GPROF scheme utilizes a model-generated database to overcome issues encountered with an observational database as used by the CS scheme. The model database ensures greater consistency across meteorological regimes and surface types by providing a more comprehensive set of <span class="hlt">precipitation</span> profiles. The database is corrected for bias against the CS database to ensure consistency in the final product. Statistical comparisons over western Europe and the United States show that the XT GPROF estimates are comparable with those from the CS scheme. Indeed, the XT estimates have higher correlations against surface radar data, while maintaining similar root-mean-square errors. Latitudinal profiles of <span class="hlt">precipitation</span> show the XT estimates are generally comparable with the CS estimates, although in the southern midlatitudes the peak <span class="hlt">precipitation</span> is shifted equatorward while over the Arctic large differences are seen between the XT and the CS retrievals.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160001391','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160001391"><span>Developing GIOVANNI-based Online Prototypes to Intercompare TRMM-Related <span class="hlt">Global</span> Gridded-<span class="hlt">Precipitation</span> Products</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Liu, Zhong; Ostrenga, Dana; Teng, William; Kempler, Steven; Milich, Lenard</p> <p>2014-01-01</p> <p>New online prototypes have been developed to extend and enhance the previous effort by facilitating investigation of product characteristics and intercomparison of <span class="hlt">precipitation</span> products in different algorithms as well as in different versions at different spatial scales ranging from local to <span class="hlt">global</span> without downloading data and software. Several popular Tropical Rainfall Measuring Mission (TRMM) products and the TRMM Composite Climatology are included. In addition, users can download customized data in several popular formats for further analysis. Examples show product quality problems and differences in several monthly <span class="hlt">precipitation</span> products. It is seen that differences in daily and monthly <span class="hlt">precipitation</span> products are distributed unevenly in space and it is necessary to have tools such as those presented here for customized and detailed investigations. A simple time series and two area maps allow the discovery of abnormal values of 3A25 in one of the months. An example shows a V-shaped valley issue in the Version 6 3B43 time series and another example shows a sudden drop in 3A25 monthly rain rate, all of which provide important information when the products are used for long-term trend studies. Future plans include adding more products and statistical functionality in the prototypes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19920039957&hterms=water+conservation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dwater%2Bconservation','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19920039957&hterms=water+conservation&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dwater%2Bconservation"><span><span class="hlt">Global</span> analyses of water vapor, cloud and <span class="hlt">precipitation</span> derived from a diagnostic assimilation of SSM/I geophysical retrievals</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Robertson, Franklin R.; Cohen, Charles</p> <p>1990-01-01</p> <p>An analytical approach is described for diagnostically assimilating moisture data from Special Sensor Microwave Imager (SSM/I) into a <span class="hlt">global</span> analysis of water vapor, cloud content, and <span class="hlt">precipitation</span>. In this method, 3D fields of wind and temperature values taken from ECMWF gridded analysis are used to drive moisture conservation equations with parameterized microphysical treatment of vapor, liquid, and ice; the evolving field of water vapor is periodically updated or constrained by SSM/I retrievals of <span class="hlt">precipitable</span> water. Initial results indicate that this diagnostic model can produce realistic large-scale fields of cloud and <span class="hlt">precipitation</span>. The resulting water vapor analyses agree well with SSM/I and have an additional advantage of being synoptic.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1238601','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1238601"><span>Analysis of a <span class="hlt">global</span> database containing tritium in <span class="hlt">precipitation</span></span></a></p> <p><a target="_blank" href="http://www.osti.gov/search">DOE Office of Scientific and Technical Information (OSTI.GOV)</a></p> <p>Buckley, R. L.; Rabun, R. L.; Heath, M.</p> <p></p> <p>The International Atomic Energy Agency (IAEA) directed the collection of tritium in water samples from the mid-1950s to 2009. The <span class="hlt">Global</span> Network of Isotopes in <span class="hlt">Precipitation</span> (GNIP) data examined the airborne movement of isotope releases to the environment, with an objective of collecting spatial data on the isotope content of <span class="hlt">precipitation</span> across the globe. The initial motivation was to monitor atmospheric thermonuclear test fallout through tritium, deuterium, and oxygen isotope concentrations, but after the 1970s the focus changed to being an observation network of stable hydrogen and oxygen isotope data for hydrologic studies. The GNIP database provides a wealth ofmore » tritium data collections over a long period of time. The work performed here primarily examined data features in the past 30 years (after much of the effects of above-ground nuclear testing in the late 1950s to early 1960s decayed away), revealing potentially unknown tritium sources. The available data at GNIP were reorganized to allow for evaluation of trends in the data both temporally and spatially. Several interesting cases were revealed, including relatively high measured concentrations in the Atlantic and Indian Oceans, Russia, Norway, as well as an increase in background concentration at a collector in South Korea after 2004. Recent data from stations in the southeastern United States nearest to the Savannah River Site do not indicate any high values. Meteorological impacts have not been considered in this study. Further research to assess the likely source location of interesting cases using transport simulations and/or literature searches is warranted.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020073398&hterms=Hydrology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DHydrology','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020073398&hterms=Hydrology&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DHydrology"><span>SPECIAL SESSION: (H21) on <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission for Hydrology and Hydrometeorology. Sampling-Error Considerations for GPM-Era Rainfall Products</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bell, Thomas L.; Lau, William K. M. (Technical Monitor)</p> <p>2002-01-01</p> <p>The proposed <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Mission (GPM) builds on the success of the Tropical Rainfall Measuring Mission (TRMM), offering a constellation of microwave-sensor-equipped smaller satellites in addition to a larger, multiply-instrumented "mother" satellite that will include an improved <span class="hlt">precipitation</span> radar system to which the <span class="hlt">precipitation</span> estimates of the smaller satellites can be tuned. Coverage by the satellites will be nearly <span class="hlt">global</span> rather than being confined as TRMM was to lower latitudes. It is hoped that the satellite constellation can provide observations at most places on the earth at least once every three hours, though practical considerations may force some compromises. The GPM system offers the possibility of providing <span class="hlt">precipitation</span> maps with much better time resolution than the monthly averages around which TRMM was planned, and therefore opens up new possibilities for hydrology and data assimilation into models. In this talk, methods that were developed for estimating sampling error in the rainfall averages that TRMM is providing will be used to estimate sampling error levels for GPM-era configurations. Possible impacts on GPM products of compromises in the sampling frequency will be discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990089285&hterms=comparison+satellite+rainfall+data+observations&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dcomparison%2Bsatellite%2Brainfall%2Bdata%2Bobservations','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990089285&hterms=comparison+satellite+rainfall+data+observations&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dcomparison%2Bsatellite%2Brainfall%2Bdata%2Bobservations"><span>Comparison of TRMM and <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) <span class="hlt">Precipitation</span> Analyses</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adler, Robert F.; Huffman, George J.; Bolvin, David; Nelkin, Eric; Curtis, Scott</p> <p>1999-01-01</p> <p>This paper describes recent results of using Tropical Rainfall Measuring Mission (TRMM) (launched in November 1997) information as the key calibration tool in a merged analysis on a 1 x 1' latitude/longitude monthly scale based on multiple satellite sources and raingauge analyses. The TRMM-based product is compared with the community-based <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) results. The long-term GPCP analysis is compared to the new TRMM-based analysis which uses the most accurate TRMM information to calibrate the estimates from the Special Sensor Microwave/Imager (SSM/I) and geosynchronous IR observations and merges those estimates together with the TRMM and gauge information to produce accurate rainfall estimates with the increased sampling provided by the combined satellite information. The comparison with TRMM results on a month-to-month basis should clarify the strengths and weaknesses of the long-term GPCP product in the tropics and point to how to improve the monitoring analysis. Preliminary results from the TRMM merged satellite analysis indicates fairly close agreement with the GPCP estimates. The GPCP analysis is done at 2.5 degree latitude/longitude resolution and interpolated to a 1 degree grid for comparison with the TRMM analysis. As expected the same features are evident in both panels, but there are subtle differences in the magnitudes. Focusing on the Pacific Ocean Inter-Tropical Convergence Zone (ITCZ) one can see the TRMM-based estimates having higher peak values and lower values in the ITCZ periphery. These attributes also show up in the statistics, where GPCP>TRMM at low values (below 10 mm/d) and TRMM>GPCP at high values (greater than 15 mm/d). The area in the Indian Ocean which shows consistently higher values of TRMM over GPCP needs to be examined carefully to determine if the lack of geosynchronous data has led to a difference in the two analyses. By the time of the meeting over a year of TRMM products will be available for</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130010243','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130010243"><span><span class="hlt">Global</span> Positioning System (GPS) <span class="hlt">Precipitable</span> Water in Forecasting Lightning at Spaceport Canaveral</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kehrer, Kristen; Graf, Brian G.; Roeder, William</p> <p>2005-01-01</p> <p>Using meteorology data, focusing on <span class="hlt">precipitable</span> water (PW), obtained during the 2000-2003 thunderstorm seasons in Central Florida, this paper will, one, assess the skill and accuracy measurements of the current Mazany forecasting tool and, two, provide additional forecasting tools that can be used in predicting lightning. Kennedy Space Center (KSC) and Cape Canaveral Air Force Station (CCAFS) are located in east Central Florida. KSC and CCAFS process and launch manned (<span class="hlt">NASA</span> Space Shuttle) and unmanned (<span class="hlt">NASA</span> and Air Force Expendable Launch Vehicles) space vehicles. One of the biggest cost impacts is unplanned launch scrubs due to inclement weather conditions such as thunderstorms. Each launch delay/scrub costs over a quarter million dollars, and the need to land the Shuttle at another landing site and return to KSC costs approximately $ 1M. Given the amount of time lost and costs incurred, the ability to accurately forecast (predict) when lightning will occur can result in significant cost and time savings. All lightning prediction models were developed using binary logistic regression. Lightning is the dependent variable and is binary. The independent variables are the <span class="hlt">Precipitable</span> Water (PW) value for a given time of the day, the change in PW up to 12 hours, the electric field mill value, and the K-index value. In comparing the Mazany model results for the 1999 period B against actual observations for the 2000-2003 thunderstorm seasons, differences were found in the False Alarm Rate (FAR), Probability of Detection (POD) and Hit Rate (H). On average, the False Alarm Rate (FAR) increased by 58%, the Probability of Detection (POD) decreased by 31% and the Hit Rate decreased by 20%. In comparing the performance of the 6 hour forecast period to the performance of the 1.5 hour forecast period for the Mazany model, the FAR was lower by 15% and the Hit Rate was higher by 7%. However, the POD for the 6 hour forecast period was lower by 16% as compared to the POD of the 1</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20060013396&hterms=regional+development&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dregional%2Bdevelopment','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20060013396&hterms=regional+development&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dregional%2Bdevelopment"><span>A Coupled GCM-Cloud Resolving Modeling System, and a Regional Scale Model to Study <span class="hlt">Precipitation</span> Processes</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tao, Wei-Kuo</p> <p>2006-01-01</p> <p>Recent GEWEX Cloud System Study (GCSS) model comparison projects have indicated that cloud-resolving models (CRMs) agree with observations better than traditional single-column models in simulating various types of clouds and cloud systems from different geographic locations. Current and future <span class="hlt">NASA</span> satellite programs can provide cloud, <span class="hlt">precipitation</span>, aerosol and other data at very fine spatial and temporal scales. It requires a coupled <span class="hlt">global</span> circulation model (GCM) and cloud-scale model (termed a super-parameterization or multi-scale modeling framework, MMF) to use these satellite data to improve the understanding of the physical processes that are responsible for the variation in <span class="hlt">global</span> and regional climate and hydrological systems. The use of a GCM will enable <span class="hlt">global</span> coverage, and the use of a CRM will allow for better and more sophisticated physical parameterization. <span class="hlt">NASA</span> satellite and field campaign cloud related datasets can provide initial conditions as well as validation for both the MMF and CFWs. The Goddard MMF is based on the 2D Goddard Cumulus Ensemble (GCE) model and the Goddard finite volume general circulation model (fvGCM), and it has started production runs with two years results (1 998 and 1999). In this talk, I will present: (1) A brief review on GCE model and its applications on <span class="hlt">precipitation</span> processes (microphysical and land processes), (2) The Goddard MMF and the major difference between two existing MMFs (CSU MMF and Goddard MMF), and preliminary results (the comparison with traditional GCMs), and (3) A discussion on the Goddard WRF version (its developments and applications).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMGC13I0862K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMGC13I0862K"><span>Utilizing <span class="hlt">NASA</span> Earth Observations to Assess Landslide Characteristics and Devlelop Susceptibility and Exposure Maps in Malawi</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Klug, M.; Cissell, J.; Grossman, M.</p> <p>2017-12-01</p> <p>Malawi has become increasingly prone to landslides in the past few decades. This can be attributed to the terrain, types of soil and vegetation, increased human interference, and heavy flooding after long periods of drought. In addition to the floods and droughts, landslides cause extra stress to farmlands, thus exacerbating the current food security crisis in the country. It can be difficult to pinpoint just how many people are affected by landslides in Malawi because landslides often occur in rural areas or are grouped with other disasters, such as floods or earthquakes. This project created a Landslide Susceptibility Map to assess landslide-prone areas in Malawi using variables such as slope, distance to roads, distance to streams, soil type, and <span class="hlt">precipitation</span>. These variables were derived using imagery from Landsat 8 Operational Land Imager (OLI), Shuttle Radar Topography Mission Version 3 (SRTM-v3), <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM), and Tropical Rainfall Measuring Mission (TRMM) satellites. Furthermore, this project created a Landslide Exposure Map to estimate how much of the local population lives in susceptible areas by intersecting population data with the Landslide Susceptibility Map. Additionally, an assessment of GPM and TRMM <span class="hlt">precipitation</span> measurements was generated to better understand the reliability of both measurements for landslide monitoring. Finally, this project updated <span class="hlt">NASA</span> SERVIR's <span class="hlt">Global</span> Landslide Catalog (GLC) for Malawi by using WorldView data from Google Earth and Landsat 8 OLI. These end products were used by <span class="hlt">NASA</span> SERVIR and the Regional Centre for Mapping of Resources for Development (RCMRD) for aiding in disaster management throughout Malawi.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122.1617S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122.1617S"><span>Improving <span class="hlt">Global</span> Forecast System of extreme <span class="hlt">precipitation</span> events with regional statistical model: Application of quantile-based probabilistic forecasts</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Shastri, Hiteshri; Ghosh, Subimal; Karmakar, Subhankar</p> <p>2017-02-01</p> <p>Forecasting of extreme <span class="hlt">precipitation</span> events at a regional scale is of high importance due to their severe impacts on society. The impacts are stronger in urban regions due to high flood potential as well high population density leading to high vulnerability. Although significant scientific improvements took place in the <span class="hlt">global</span> models for weather forecasting, they are still not adequate at a regional scale (e.g., for an urban region) with high false alarms and low detection. There has been a need to improve the weather forecast skill at a local scale with probabilistic outcome. Here we develop a methodology with quantile regression, where the reliably simulated variables from <span class="hlt">Global</span> Forecast System are used as predictors and different quantiles of rainfall are generated corresponding to that set of predictors. We apply this method to a flood-prone coastal city of India, Mumbai, which has experienced severe floods in recent years. We find significant improvements in the forecast with high detection and skill scores. We apply the methodology to 10 ensemble members of <span class="hlt">Global</span> Ensemble Forecast System and find a reduction in ensemble uncertainty of <span class="hlt">precipitation</span> across realizations with respect to that of original <span class="hlt">precipitation</span> forecasts. We validate our model for the monsoon season of 2006 and 2007, which are independent of the training/calibration data set used in the study. We find promising results and emphasize to implement such data-driven methods for a better probabilistic forecast at an urban scale primarily for an early flood warning.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160002960&hterms=Global+warming&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DGlobal%2Bwarming','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160002960&hterms=Global+warming&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DGlobal%2Bwarming"><span>Detecting Climate Signals in <span class="hlt">Precipitation</span> Extremes from TRMM (1998-2013) - Increasing Contrast Between Wet and Dry Extremes During the "<span class="hlt">Global</span> Warming Hiatus"</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wu, Huey-Tzu Jenny; Lau, William K.-M.</p> <p>2016-01-01</p> <p>We investigate changes in daily <span class="hlt">precipitation</span> extremes using Tropical Rainfall Measuring Mission (TRMM) data (1998-2013), which coincides with the "<span class="hlt">global</span> warming hiatus." Results show a change in probability distribution functions of local <span class="hlt">precipitation</span> events (LPEs) during this period consistent with previous <span class="hlt">global</span> warming studies, indicating increasing contrast between wet and dry extremes, with more intense LPE, less moderate LPE, and more dry (no rain) days <span class="hlt">globally</span>. Analyses for land and ocean separately reveal more complex and nuanced changes over land, characterized by a strong positive trend (+12.0% per decade, 99% confidence level (c.l.)) in frequency of extreme LPEs over the Northern Hemisphere extratropics during the wet season but a negative <span class="hlt">global</span> trend (-6.6% per decade, 95% c.l.) during the dry season. A significant <span class="hlt">global</span> drying trend (3.2% per decade, 99% c.l.) over land is also found during the dry season. Regions of pronounced increased dry events include western and central U.S., northeastern Asia, and Southern Europe/Mediterranean.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20150013950&hterms=solar+energy&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsolar%2Benergy','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20150013950&hterms=solar+energy&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsolar%2Benergy"><span>Application of a <span class="hlt">Global</span>-to-Beam Irradiance Model to the <span class="hlt">NASA</span> GEWEX SRB Dataset: An Extension of the <span class="hlt">NASA</span> Surface Meteorology and Solar Energy Datasets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zhang, Taiping; Stackhouse, Paul W., Jr.; Chandler, William S.; Westberg, David J.</p> <p>2014-01-01</p> <p>The DIRINDEX model was designed to estimate hourly solar beam irradiances from hourly <span class="hlt">global</span> horizontal irradiances. This model was applied to the <span class="hlt">NASA</span> GEWEX SRB(Rel. 3.0) 3-hourly <span class="hlt">global</span> horizontal irradiance data to derive3-hourly <span class="hlt">global</span> maps of beam, or direct normal, irradiance for the period from January 2000 to December 2005 at the 1 deg. x 1 deg. resolution. The DIRINDEX model is a combination of the DIRINT model, a quasi-physical <span class="hlt">global</span>-to-beam irradiance model based on regression of hourly observed data, and a broadband simplified version of the SOLIS clear-sky beam irradiance model. In this study, the input variables of the DIRINDEX model are 3-hourly <span class="hlt">global</span> horizontal irradiance, solar zenith angle, dew-point temperature, surface elevation, surface pressure, sea-level pressure, aerosol optical depth at 700 nm, and column water vapor. The resulting values of the 3-hourly direct normal irradiance are then used to compute daily and monthly means. The results are validated against the ground-based BSRN data. The monthly means show better agreement with the BSRN data than the results from an earlier endeavor which empirically derived the monthly mean direct normal irradiance from the GEWEX SRB monthly mean <span class="hlt">global</span> horizontal irradiance. To assimilate the observed information into the final results, the direct normal fluxes from the DIRINDEX model are adjusted according to the comparison statistics in the latitude-longitude-cosine of solar zenith angle phase space, in which the inverse-distance interpolation is used for the adjustment. Since the <span class="hlt">NASA</span> Surface meteorology and Solar Energy derives its data from the GEWEX SRB datasets, the results discussed herein will serve to extend the former.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003873','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003873"><span><span class="hlt">NASA</span> Giovanni Portals for NLDAS/GLDAS Online Visualization, Analysis, and Intercomparison</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rui, Hualan; Teng, William L.; Vollmer, Bruce; Mocko, David M.; Beaudoing, Hiroko Kato; Rodell, Matthew</p> <p>2011-01-01</p> <p>The North American Land Data Assimilation System (NLDAS) and <span class="hlt">Global</span> Land Data Assimilation System (GLDAS) are generating a series of land surface forcing (e.g., <span class="hlt">precipitation</span>, surface meteorology, and radiation), state (e.g., soil moisture and temperature, and snow), and flux (e.g., evaporation and sensible heat flux) products, simulated by several land surface models. To date, NLDAS and GLDAS have generated more than 30 (1979 - present) and 60 (1948 - present) years of data, respectively. To further facilitate data accessibility and utilization, three new portals in the <span class="hlt">NASA</span> Giovanni system have been made available for NLDAS and GLDAS online visualization, analysis, and intercomparison.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110008278','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110008278"><span><span class="hlt">Global</span> Energy and Water Budgets in MERRA</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bosilovich, Michael G.; Robertson, Franklin R.; Chen, Junye</p> <p>2010-01-01</p> <p>Reanalyses, retrospectively analyzing observations over climatological time scales, represent a merger between satellite observations and models to provide <span class="hlt">globally</span> continuous data and have improved over several generations. Balancing the Earth s <span class="hlt">global</span> water and energy budgets has been a focus of research for more than two decades. Models tend to their own climate while remotely sensed observations have had varying degrees of uncertainty. This study evaluates the latest <span class="hlt">NASA</span> reanalysis, called the Modern Era Retrospective-analysis for Research and Applications (MERRA), from a <span class="hlt">global</span> water and energy cycles perspective. MERRA was configured to provide complete budgets in its output diagnostics, including the Incremental Analysis Update (IAU), the term that represents the observations influence on the analyzed states, alongside the physical flux terms. <span class="hlt">Precipitation</span> in reanalyses is typically sensitive to the observational analysis. For MERRA, the <span class="hlt">global</span> mean <span class="hlt">precipitation</span> bias and spatial variability are more comparable to merged satellite observations (GPCP and CMAP) than previous generations of reanalyses. Ocean evaporation also has a much lower value which is comparable to observed data sets. The <span class="hlt">global</span> energy budget shows that MERRA cloud effects may be generally weak, leading to excess shortwave radiation reaching the ocean surface. Evaluating the MERRA time series of budget terms, a significant change occurs, which does not appear to be represented in observations. In 1999, the <span class="hlt">global</span> analysis increments of water vapor changes sign from negative to positive, and primarily lead to more oceanic <span class="hlt">precipitation</span>. This change is coincident with the beginning of AMSU radiance assimilation. Previous and current reanalyses all exhibit some sensitivity to perturbations in the observation record, and this remains a significant research topic for reanalysis development. The effect of the changing observing system is evaluated for MERRA water and energy budget terms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120015846','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120015846"><span>Quasi-<span class="hlt">Global</span> <span class="hlt">Precipitation</span> as Depicted in the GPCPV2.2 and TMPA V7</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Bolvin, David T.; Nelkin, Eric J.; Adler, Robert F.</p> <p>2012-01-01</p> <p>After a lengthy incubation period, the year 2012 saw the release of the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Climatology Project (GPCP) Version 2.2 monthly dataset and the TRMM Multi-satellite <span class="hlt">Precipitation</span> Analysis (TMPA) Version 7. One primary feature of the new data sets is that DMSP SSMIS data are now used, which entailed a great deal of development work to overcome calibration issues. In addition, the GPCP V2.2 included a slight upgrade to the gauge analysis input datasets, particularly over China, while the TMPA V7 saw more-substantial upgrades: 1) The gauge analysis record in Version 6 used the (older) GPCP monitoring product through April 2005 and the CAMS analysis thereafter, which introduced an inhomogeneity. Version 7 uses the Version 6 GPCC Full analysis, switching to the Version 4 Monitoring analysis thereafter. 2) The inhomogeneously processed AMSU record in Version 6 is uniformly processed in Version 7. 3) The TMI and SSMI input data have been upgraded to the GPROF2010 algorithm. The <span class="hlt">global</span>-change, water cycle, and other user communities are acutely interested in how these data sets compare, as consistency between differently processed, long-term, quasi-<span class="hlt">global</span> data sets provides some assurance that the statistics computed from them provide a good representation of the atmosphere's behavior. Within resolution differences, the two data sets agree well over land as the gauge data (which tend to dominate the land results) are the same in both. Over ocean the results differ more because the satellite products used for calibration are based on very different algorithms and the dominant input data sets are different. The time series of tropical (30 N-S) ocean average <span class="hlt">precipitation</span> shows that the TMPA V7 follows the TMI-PR Combined Product calibrator, although running approximately 5% higher on average. The GPCP and TMPA time series are fairly consistent, although the GPCP runs approximately 10% lower than the TMPA, and has a somewhat larger interannual variation. As well</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li class="active"><span>24</span></li> <li><a href="#" onclick='return showDiv("page_25");'>25</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_24 --> <div id="page_25" class="hiddenDiv"> <div class="row"> <div class="col-sm-12"> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="481"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150000725','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150000725"><span>Observation-Corrected <span class="hlt">Precipitation</span> Estimates in GEOS-5</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Reichle, Rolf H.; Liu, Qing</p> <p>2014-01-01</p> <p>Several GEOS-5 applications, including the GEOS-5 seasonal forecasting system and the MERRA-Land data product, rely on <span class="hlt">global</span> <span class="hlt">precipitation</span> data that have been corrected with satellite and or gauge-based <span class="hlt">precipitation</span> observations. This document describes the methodology used to generate the corrected <span class="hlt">precipitation</span> estimates and their use in GEOS-5 applications. The corrected <span class="hlt">precipitation</span> estimates are derived by disaggregating publicly available, observationally based, <span class="hlt">global</span> <span class="hlt">precipitation</span> products from daily or pentad totals to hourly accumulations using background <span class="hlt">precipitation</span> estimates from the GEOS-5 atmospheric data assimilation system. Depending on the specific combination of the observational <span class="hlt">precipitation</span> product and the GEOS-5 background estimates, the observational product may also be downscaled in space. The resulting corrected <span class="hlt">precipitation</span> data product is at the finer temporal and spatial resolution of the GEOS-5 background and matches the observed <span class="hlt">precipitation</span> at the coarser scale of the observational product, separately for each day (or pentad) and each grid cell.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20010018486','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20010018486"><span>Extending the <span class="hlt">Precipitation</span> Map Offshore Using Daily and 3-Hourly Combined <span class="hlt">Precipitation</span> Estimates</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Huffman, George J.; Adler, Robert F.; Bolvin, David T.; Curtis, Scott; Einaudi, Franco (Technical Monitor)</p> <p>2001-01-01</p> <p>One of the difficulties in studying landfalling extratropical cyclones along the Pacific Coast is the lack of antecedent data over the ocean, including <span class="hlt">precipitation</span>. Recent research on combining various satellite-based <span class="hlt">precipitation</span> estimates opens the possibility of realistic <span class="hlt">precipitation</span> estimates on a <span class="hlt">global</span> 1 deg. x 1 deg. latitude-longitude grid at the daily or even 3-hourly interval. The goal in this work is to provide quantitative <span class="hlt">precipitation</span> estimates that correctly represent the <span class="hlt">precipitation</span>- related variables in the hydrological cycle: surface accumulations (fresh-water flux into oceans), frequency and duration statistics, net latent heating, etc.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150019488','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150019488"><span><span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) Mission Products and Services at the <span class="hlt">NASA</span> Goddard Earth Sciences Data and Information Services Center (GES DISC)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Liu, Z.; Ostrenga, D.; Vollmer, B.; Kempler, S.; Deshong, B.; Greene, M.</p> <p>2015-01-01</p> <p>The <span class="hlt">NASA</span> Goddard Earth Sciences (GES) Data and Information Services Center (DISC) hosts and distributes GPM data within the <span class="hlt">NASA</span> Earth Observation System Data Information System (EOSDIS). The GES DISC is also home to the data archive for the GPM predecessor, the Tropical Rainfall Measuring Mission (TRMM). Over the past 17 years, the GES DISC has served the scientific as well as other communities with TRMM data and user-friendly services. During the GPM era, the GES DISC will continue to provide user-friendly data services and customer support to users around the world. GPM products currently and to-be available: -Level-1 GPM Microwave Imager (GMI) and partner radiometer products, DPR products -Level-2 Goddard Profiling Algorithm (GPROF) GMI and partner products, DPR products -Level-3 daily and monthly products, DPR products -Integrated Multi-satellitE Retrievals for GPM (IMERG) products (early, late, and final) A dedicated Web portal (including user guides, etc.) has been developed for GPM data (http://disc.sci.gsfc.<span class="hlt">nasa</span>.gov/gpm). Data services that are currently and to-be available include Google-like Mirador (http://mirador.gsfc.<span class="hlt">nasa</span>.gov/) for data search and access; data access through various Web services (e.g., OPeNDAP, GDS, WMS, WCS); conversion into various formats (e.g., netCDF, HDF, KML (for Google Earth), ASCII); exploration, visualization, and statistical online analysis through Giovanni (http://giovanni.gsfc.<span class="hlt">nasa</span>.gov); generation of value-added products; parameter and spatial subsetting; time aggregation; regridding; data version control and provenance; documentation; science support for proper data usage, FAQ, help desk; monitoring services (e.g. Current Conditions) for applications. The United User Interface (UUI) is the next step in the evolution of the GES DISC web site. It attempts to provide seamless access to data, information and services through a single interface without sending the user to different applications or URLs (e.g., search, access</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..1918749T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..1918749T"><span>Multi-Frequency Radar/Passive Microwave retrievals of Cold Season <span class="hlt">Precipitation</span> from OLYMPEX data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tridon, Frederic; Battaglia, Alessandro; Turk, Joe; Tanelli, Simone; Kneifel, Stefan; Leinonen, Jussi; Kollias, Pavlos</p> <p>2017-04-01</p> <p>Due to the large natural variability of its microphysical properties, the characterization of solid <span class="hlt">precipitation</span> over the variety of Earth surface conditions remain a longstanding open issue for space-based radar and passive microwave (MW) observing systems, such those on board the current <span class="hlt">NASA</span>-JAXA <span class="hlt">Global</span> <span class="hlt">Precipitation</span> measurement (GPM) core and constellation satellites. Observations from the <span class="hlt">NASA</span> DC-8 including radar profiles from the triple frequency Advanced <span class="hlt">Precipitation</span> Radar (APR-3) and brightness temperatures from PMW radiometers with frequencies ranging from 89 to 183 GHz were collected during November-December 2015 as part of the OLYMPEX-RADEX campaign in western Washington state. Observations cover orographically-driven <span class="hlt">precipitation</span> events with flight transects over ocean, coastal areas, vegetated and snow-covered surfaces. This study presents results obtained by a retrieval optimal estimation technique capable of combining the various radar and radiometer measurements in order to retrieve the snow properties such as equivalent water mass and characteristic size. The retrieval is constrained by microphysical a-priori defined by in situ measurements whilst the most recent ice scattering models are used in the forward modelling. The vast dataset collected during OLYMPEX is particular valuable because it can provide very strong tests for the fidelity of ice scattering models deep in the non-Rayleigh regime. In addition, the various scattering tables of snow aggregates with different degrees of riming can be exploited to assess the potential of multi-wavelength active and passive microwave systems in identifying the primary ice growth process (i.e. aggregation vs riming vs deposition). First comparisons with in-situ observations from the coordinated flights of the Citation aircraft will also be presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018AdWR..111..301T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018AdWR..111..301T"><span>On the long-range dependence properties of annual <span class="hlt">precipitation</span> using a <span class="hlt">global</span> network of instrumental measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tyralis, Hristos; Dimitriadis, Panayiotis; Koutsoyiannis, Demetris; O'Connell, Patrick Enda; Tzouka, Katerina; Iliopoulou, Theano</p> <p>2018-01-01</p> <p>The long-range dependence (LRD) is considered an inherent property of geophysical processes, whose presence increases uncertainty. Here we examine the spatial behaviour of LRD in <span class="hlt">precipitation</span> by regressing the Hurst parameter estimate of mean annual <span class="hlt">precipitation</span> instrumental data which span from 1916-2015 and cover a big area of the earth's surface on location characteristics of the instrumental data stations. Furthermore, we apply the Mann-Kendall test under the LRD assumption (MKt-LRD) to reassess the significance of observed trends. To summarize the results, the LRD is spatially clustered, it seems to depend mostly on the location of the stations, while the predictive value of the regression model is good. Thus when investigating for LRD properties we recommend that the local characteristics should be considered. The application of the MKt-LRD suggests that no significant monotonic trend appears in <span class="hlt">global</span> <span class="hlt">precipitation</span>, excluding the climate type D (snow) regions in which positive significant trends appear.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790010308','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790010308"><span>Condensation-nuclei (Aitken Particle) measurement system used in <span class="hlt">NASA</span> <span class="hlt">global</span> atmospheric sampling program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Nyland, T. W.</p> <p>1979-01-01</p> <p>The condensation-nuclei (Aitken particle) measuring system used in the <span class="hlt">NASA</span> <span class="hlt">Global</span> Atmospheric Sampling Program is described. Included in the paper is a description of the condensation-nuclei monitor sensor, the pressurization system, and the Pollack-counter calibration system used to support the CN measurement. The monitor has a measurement range to 1000 CN/cm cubed and a noise level equivalent to 5 CN/cm cubed at flight altitudes between 6 and 13 km.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A31A2138C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A31A2138C"><span>In Situ Verification of the <span class="hlt">NASA</span> D3R's Hydrometeor Classification and Rainfall Products during the OLYMPEx Field Campaign</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chen, H.; Chandra, C. V.</p> <p>2017-12-01</p> <p>As a ground validation (GV) radar for the <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) satellite mission, the <span class="hlt">NASA</span> dual-frequency, dual-polarization, Doppler radar (D3R) was deployed just north of Pacific Beach, WA between November 8th, 2015 and January 15th, 2016, as part of the Olympic Mountains Experiment (OLYMPEx). The D3R's observations were coordinated with a diverse array of instruments including the <span class="hlt">NASA</span> NPOL S-band radar, Autonomous Parsivel Unit (APU) disdrometers, rain gauges, and airborne probe. The Ku- and Ka-band D3R is analogous to the GPM core satellite dual-frequency <span class="hlt">precipitation</span> radar (DPR), but can provide more detailed insight into the <span class="hlt">precipitation</span> microphysics through the ground-based dual-frequency dual-polarization observations. Previous studies have revealed that the dual polarization radar can be used to identify different hydrometeor types and their size and shape information. However, most of the previous studies are devoted to S-, C-, and/or X-band frequencies since they are standard operating frequency in many countries. This paper presents a region-based hydrometeor classification methodology applied for the <span class="hlt">NASA</span> D3R measurements collected during OLYMPEx. This paper also details the differential phase based attenuation correction methodology and rainfall algorithm developed for the D3R. The D3R's hydrometeor classification and rainfall products are evaluated using other remote sensors and in situ measurements. In particular, the derived hydrometeor types are cross compared with collocated S-band products and images collected by the airborne probe. The rainfall performance are assessed using rain gauge and disdrometer observations. Results show that the <span class="hlt">NASA</span> D3R has great potential for monitoring <span class="hlt">precipitation</span> microphysics and rainfall estimation, especially light rainfall that is hard to be observed by traditional ground or space based sensors.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100040470','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100040470"><span><span class="hlt">NASA</span> International Environmental Partnerships</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lewis, Pattie; Valek, Susan</p> <p>2010-01-01</p> <p>For nearly five decades, the National Aeronautics and Space Administration (<span class="hlt">NASA</span>) has been preeminent in space exploration. <span class="hlt">NASA</span> has landed Americans on the moon, robotic rovers on Mars, and led cooperative scientific endeavors among nations aboard the International Space Station. But as Earth's population increases, the environment is subject to increasing challenges and requires more efficient use of resources. International partnerships give <span class="hlt">NASA</span> the opportunity to share its scientific and engineering expertise. They also enable <span class="hlt">NASA</span> to stay aware of continually changing international environmental regulations and <span class="hlt">global</span> markets for materials that <span class="hlt">NASA</span> uses to accomplish its mission. Through international partnerships, <span class="hlt">NASA</span> and this nation have taken the opportunity to look <span class="hlt">globally</span> for solutions to challenges we face here on Earth. Working with other nations provides <span class="hlt">NASA</span> with collaborative opportunities with the <span class="hlt">global</span> science/engineering community to explore ways in which to protect our natural resources, conserve energy, reduce the use of hazardous materials in space and earthly applications, and reduce greenhouse gases that potentially affect all of Earth's inhabitants. <span class="hlt">NASA</span> is working with an ever-expanding list of international partners including the European Union, the European Space Agency and, especially, the nation of Portugal. Our common goal is to foster a sustainable future in which partners continue to explore the universe while protecting our home planet's resources for future generations. This brochure highlights past, current, and future initiatives in several important areas of international collaboration that can bring environmental, economic, and other benefits to <span class="hlt">NASA</span> and the wider international space community.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFM.A43K..06I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFM.A43K..06I"><span>Using Extreme Tropical <span class="hlt">Precipitation</span> Statistics to Constrain Future Climate States</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Igel, M.; Biello, J. A.</p> <p>2017-12-01</p> <p>Tropical <span class="hlt">precipitation</span> is characterized by a rapid growth in mean intensity as the column humidity increases. This behavior is examined in both a cloud resolving model and with high-resolution observations of <span class="hlt">precipitation</span> and column humidity from CloudSat and AIRS, respectively. The model and the observations exhibit remarkable consistency and suggest a new paradigm for extreme <span class="hlt">precipitation</span>. We show that the total <span class="hlt">precipitation</span> can be decomposed into a product of contributions from a mean intensity, a probability of <span class="hlt">precipitation</span>, and a <span class="hlt">global</span> PDF of column humidity values. We use the modeling and observational results to suggest simple, analytic forms for each of these functions. The analytic representations are then used to construct a simple expression for the <span class="hlt">global</span> accumulated <span class="hlt">precipitation</span> as a function of the parameters of each of the component functions. As the climate warms, extreme <span class="hlt">precipitation</span> intensity and <span class="hlt">global</span> <span class="hlt">precipitation</span> are expected to increase, though at different rates. When these predictions are incorporated into the new analytic expression for total <span class="hlt">precipitation</span>, predictions for changes due to <span class="hlt">global</span> warming to the probability of <span class="hlt">precipitation</span> and the PDF of column humidity can be made. We show that strong constraints can be imposed on the future shape of the PDF of column humidity but that only weak constraints can be set on the probability of <span class="hlt">precipitation</span>. These are largely imposed by the intensification of extreme <span class="hlt">precipitation</span>. This result suggests that understanding precisely how extreme <span class="hlt">precipitation</span> responds to climate warming is critical to predicting other impactful properties of <span class="hlt">global</span> hydrology. The new framework can also be used to confirm and discount existing theories for shifting <span class="hlt">precipitation</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20150014258&hterms=databases&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Ddatabases','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20150014258&hterms=databases&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Ddatabases"><span>Development of a <span class="hlt">Global</span> Fire Weather Database</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Field, R. D.; Spessa, A. C.; Aziz, N. A.; Camia, A.; Cantin, A.; Carr, R.; de Groot, W. J.; Dowdy, A. J.; Flannigan, M. D.; Manomaiphiboon, K.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20150014258'); toggleEditAbsImage('author_20150014258_show'); toggleEditAbsImage('author_20150014258_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20150014258_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20150014258_hide"></p> <p>2015-01-01</p> <p>The Canadian Forest Fire Weather Index (FWI) System is the mostly widely used fire danger rating system in the world. We have developed a <span class="hlt">global</span> database of daily FWI System calculations, beginning in 1980, called the <span class="hlt">Global</span> Fire WEather Database (GFWED) gridded to a spatial resolution of 0.5 latitude by 2/3 longitude. Input weather data were obtained from the <span class="hlt">NASA</span> Modern Era Retrospective- Analysis for Research and Applications (MERRA), and two different estimates of daily <span class="hlt">precipitation</span> from rain gauges over land. FWI System Drought Code calculations from the gridded data sets were compared to calculations from individual weather station data for a representative set of 48 stations in North, Central and South America, Europe, Russia, Southeast Asia and Australia. Agreement between gridded calculations and the station-based calculations tended to be most different at low latitudes for strictly MERRA based calculations. Strong biases could be seen in either direction: MERRA DC over the Mato Grosso in Brazil reached unrealistically high values exceeding DCD1500 during the dry season but was too low over Southeast Asia during the dry season. These biases are consistent with those previously identified in MERRA's <span class="hlt">precipitation</span>, and they reinforce the need to consider alternative sources of <span class="hlt">precipitation</span> data. GFWED can be used for analyzing historical relationships between fire weather and fire activity at continental and <span class="hlt">global</span> scales, in identifying large-scale atmosphere-ocean controls on fire weather, and calibration of FWI-based fire prediction models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160000451','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160000451"><span>Introducing GFWED: The <span class="hlt">Global</span> Fire Weather Database</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Field, R. D.; Spessa, A. C.; Aziz, N. A.; Camia, A.; Cantin, A.; Carr, R.; de Groot, W. J.; Dowdy, A. J.; Flannigan, M. D.; Manomaiphiboon, K.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160000451'); toggleEditAbsImage('author_20160000451_show'); toggleEditAbsImage('author_20160000451_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160000451_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160000451_hide"></p> <p>2015-01-01</p> <p>The Canadian Forest Fire Weather Index (FWI) System is the mostly widely used fire danger rating system in the world. We have developed a <span class="hlt">global</span> database of daily FWI System calculations, beginning in 1980, called the <span class="hlt">Global</span> Fire WEather Database (GFWED) gridded to a spatial resolution of 0.5 latitude by 2-3 longitude. Input weather data were obtained from the <span class="hlt">NASA</span> Modern Era Retrospective-Analysis for Research and Applications (MERRA), and two different estimates of daily <span class="hlt">precipitation</span> from rain gauges over land. FWI System Drought Code calculations from the gridded data sets were compared to calculations from individual weather station data for a representative set of 48 stations in North, Central and South America, Europe, Russia,Southeast Asia and Australia. Agreement between gridded calculations and the station-based calculations tended to be most different at low latitudes for strictly MERRA based calculations. Strong biases could be seen in either direction: MERRA DC over the Mato Grosso in Brazil reached unrealistically high values exceeding DCD1500 during the dry season but was too low over Southeast Asia during the dry season. These biases are consistent with those previously identified in MERRAs <span class="hlt">precipitation</span>, and they reinforce the need to consider alternative sources of <span class="hlt">precipitation</span> data. GFWED can be used for analyzing historical relationships between fire weather and fire activity at continental and <span class="hlt">global</span> scales, in identifying large-scale atmosphereocean controls on fire weather, and calibration of FWI-based fire prediction models.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.2459K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.2459K"><span>Model Parameter Estimation Using Ensemble Data Assimilation: A Case with the Nonhydrostatic Icosahedral Atmospheric Model NICAM and the <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> Data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kotsuki, Shunji; Terasaki, Koji; Yashiro, Hasashi; Tomita, Hirofumi; Satoh, Masaki; Miyoshi, Takemasa</p> <p>2017-04-01</p> <p>This study aims to improve <span class="hlt">precipitation</span> forecasts from numerical weather prediction (NWP) models through effective use of satellite-derived <span class="hlt">precipitation</span> data. Kotsuki et al. (2016, JGR-A) successfully improved the <span class="hlt">precipitation</span> forecasts by assimilating the Japan Aerospace eXploration Agency (JAXA)'s <span class="hlt">Global</span> Satellite Mapping of <span class="hlt">Precipitation</span> (GSMaP) data into the Nonhydrostatic Icosahedral Atmospheric Model (NICAM) at 112-km horizontal resolution. Kotsuki et al. mitigated the non-Gaussianity of the <span class="hlt">precipitation</span> variables by the Gaussian transform method for observed and forecasted <span class="hlt">precipitation</span> using the previous 30-day <span class="hlt">precipitation</span> data. This study extends the previous study by Kotsuki et al. and explores an online estimation of model parameters using ensemble data assimilation. We choose two <span class="hlt">globally</span>-uniform parameters, one is the cloud-to-rain auto-conversion parameter of the Berry's scheme for large scale condensation and the other is the relative humidity threshold of the Arakawa-Schubert cumulus parameterization scheme. We perform the online-estimation of the two model parameters with an ensemble transform Kalman filter by assimilating the GSMaP <span class="hlt">precipitation</span> data. The estimated parameters improve the analyzed and forecasted mixing ratio in the lower troposphere. Therefore, the parameter estimation would be a useful technique to improve the NWP models and their forecasts. This presentation will include the most recent progress up to the time of the symposium.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160007444&hterms=solomon+research&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsolomon%2Bresearch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160007444&hterms=solomon+research&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dsolomon%2Bresearch"><span>Current and Future Perspectives of Aerosol Research at <span class="hlt">NASA</span> Goddard Space Flight Center</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Matsui, Toshihisa; Ichoku, Charles; Randles, Cynthia; Yuan, Tianle; Da Silva, Arlindo M.; Colarco, Peter R.; Kim, Dongchul; Levy, Robert; Sayer, Andrew; Chin, Mian; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20160007444'); toggleEditAbsImage('author_20160007444_show'); toggleEditAbsImage('author_20160007444_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20160007444_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20160007444_hide"></p> <p>2014-01-01</p> <p>Aerosols are tiny atmospheric particles that are emitted from various natural and anthropogenic sources. They affect climate through direct and indirect interactions with solar and thermal radiation, clouds, and atmospheric circulation (Solomon et al. 2007). The launch of a variety of sophisticated satellite-based observing systems aboard the Terra, Aqua, Aura, SeaWiFS (see appendix for all acronym expansions), CALIPSO, and other satellites in the late 1990s to mid-2000s through the <span class="hlt">NASA</span> EOS and other U.S. and non-U.S. programs ushered in a golden era in aerosol research. <span class="hlt">NASA</span> has been a leader in providing <span class="hlt">global</span> aerosol characterizations through observations from satellites, ground networks, and field campaigns, as well as from <span class="hlt">global</span> and regional modeling. AeroCenter (http://aerocenter.gsfc.<span class="hlt">nasa</span>.gov/), which was formed in 2002 to address the many facets of aerosol research in a collaborative manner, is an interdisciplinary union of researchers (200 members) at <span class="hlt">NASA</span> GSFC and other nearby institutions, including NOAA, several universities, and research laboratories. AeroCenter hosts a web-accessible regular seminar series and an annual meeting to present up-to-date aerosol research, including measurement techniques; remote sensing algorithms; modeling development; field campaigns; and aerosol interactions with radiation, clouds, <span class="hlt">precipitation</span>, climate, biosphere, atmospheric chemistry, air quality, and human health. The 2013 annual meeting was held at the <span class="hlt">NASA</span> GSFC Visitor Center on 31 May 2013, which coincided with the seventh anniversary of the passing of Yoram Kaufman, a modern pioneer in satellite-based aerosol science and the founder of AeroCenter. The central theme of this year's meeting was "current and future perspectives" of <span class="hlt">NASA</span>'s aerosol science and satellite missions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20020048636&hterms=pandas&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dpandas','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20020048636&hterms=pandas&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dpandas"><span>Type <span class="hlt">NASA</span>-23</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Binayak, Panda; Jones, Clyde S. (Technical Monitor)</p> <p>2001-01-01</p> <p><span class="hlt">NASA</span>-23 alloy has been designed to fulfil <span class="hlt">NASA</span>'s unique need for a high strength, oxidation-and corrosion resistant alloy that is compatible with a high-pressure hydrogen environment. This alloy is a <span class="hlt">precipitation</span> hardened iron-nickel base alloy with excellent strength and ductility art gaseous hydrogen (GH2), comparable to those of other alloys in its class, Inconel 718 and IN-903. <span class="hlt">NASA</span>-23 has been designed with a sufficient amount of chromium to provide good corrosion/oxidation resistance. For hydrogen resistance, the alloy maintains a (Ni + Co)/Fe ratio close to 1.26, the same as that of Incoloy 903. Hardening constituents, Nb, Ti, and Al, are optimized for strength and ductility both in air and GH2 atmospheres.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?direntryid=336886','PESTICIDES'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?direntryid=336886"><span>Multi-scale Quantitative <span class="hlt">Precipitation</span> Forecasting Using ...</span></a></p> <p><a target="_blank" href="http://www.epa.gov/pesticides/search.htm">EPA Pesticide Factsheets</a></p> <p></p> <p></p> <p><span class="hlt">Global</span> sea surface temperature (SST) anomalies can affect terrestrial <span class="hlt">precipitation</span> via ocean-atmosphere interaction known as climate teleconnection. Non-stationary and non-linear characteristics of the ocean-atmosphere system make the identification of the teleconnection signals difficult to be detected at a local scale as it could cause large uncertainties when using linear correlation analysis only. This paper explores the relationship between <span class="hlt">global</span> SST and terrestrial <span class="hlt">precipitation</span> with respect to long-term non-stationary teleconnection signals during 1981-2010 over three regions in North America and one in Central America. Empirical mode decomposition as well as wavelet analysis is utilized to extract the intrinsic trend and the dominant oscillation of the SST and <span class="hlt">precipitation</span> time series in sequence. After finding possible associations between the dominant oscillation of seasonal <span class="hlt">precipitation</span> and <span class="hlt">global</span> SST through lagged correlation analysis, the statistically significant SST regions are extracted based on the correlation coefficient. With these characterized associations, individual contribution of these SST forcing regions linked to the related <span class="hlt">precipitation</span> responses are further quantified through nonlinear modeling with the aid of extreme learning machine. Results indicate that the non-leading SST regions also contribute a salient portion to the terrestrial <span class="hlt">precipitation</span> variability compared to some known leading SST regions. In some cases, these</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070010480&hterms=online&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Donline','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070010480&hterms=online&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D50%26Ntt%3Donline"><span>Online Simulations and Forecasts of the <span class="hlt">Global</span> Aerosol Distribution in the <span class="hlt">NASA</span> GEOS-5 Model</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Colarco, Peter</p> <p>2006-01-01</p> <p>We present an analysis of simulations of the <span class="hlt">global</span> aerosol system in the <span class="hlt">NASA</span> GEOS-5 transport, radiation, and chemistry model. The model includes representations of all major tropospheric aerosol species, including dust, sea salt, black carbon, particulate organic matter, and sulfates. The aerosols are run online for the period 2000 through 2005 in a simulation driven by assimilated meteorology from the <span class="hlt">NASA</span> Goddard Data Assimilation System. Aerosol surface mass concentrations are compared with existing long-term surface measurement networks. Aerosol optical thickness is compared with ground-based AERONET sun photometry and space-based retrievals from MODIS, MISR, and OMI. Particular emphasis is placed here on consistent sampling of model and satellite aerosol optical thickness to account for diurnal variations in aerosol optical properties. Additionally, we illustrate the use of this system for providing chemical weather forecasts in support of various <span class="hlt">NASA</span> and community field missions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015SPIE.9639E..07N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015SPIE.9639E..07N"><span>The <span class="hlt">NASA</span> Earth Science Flight Program: an update</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Neeck, Steven P.</p> <p>2015-10-01</p> <p>Earth's changing environment impacts every aspect of life on our planet and climate change has profound implications on society. Studying Earth as a single complex system is essential to understanding the causes and consequences of climate change and other <span class="hlt">global</span> environmental concerns. <span class="hlt">NASA</span>'s Earth Science Division (ESD) shapes an interdisciplinary view of Earth, exploring interactions among the atmosphere, oceans, ice sheets, land surface interior, and life itself. This enables scientists to measure <span class="hlt">global</span> and climate changes and to inform decisions by government, other organizations, and people in the United States and around the world. The data collected and results generated are accessible to other agencies and organizations to improve the products and services they provide, including air quality indices, disaster prediction and response, agricultural yield projections, and aviation safety. ESD's Flight Program provides the space based observing systems and infrastructure for mission operations and scientific data processing and distribution that support <span class="hlt">NASA</span>'s Earth science research and modeling activities. The Flight Program currently has 21 operating Earth observing space missions, including the recently launched <span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement (GPM) mission, the Orbiting Carbon Observatory-2 (OCO-2), the Soil Moisture Active Passive (SMAP) mission, and the International Space Station (ISS) RapidSCAT and Cloud-Aerosol Transport System (CATS) instruments. The ESD has 22 more missions and instruments planned for launch over the next decade. These include first and second tier missions from the 2007 Earth Science Decadal Survey, Climate Continuity missions and selected instruments to assure availability of key climate data sets, operational missions to ensure sustained land imaging provided by the Landsat system, and small-sized competitively selected orbital missions and instrument missions of opportunity belonging to the Earth Venture (EV) Program. Some</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100003033','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100003033"><span><span class="hlt">NASA</span>'s Potential Contributions to Avalanche Forecasting Using Active and Passive Microwave Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Blonski, Slawomir</p> <p>2007-01-01</p> <p>This Candidate Solution is based on using active and passive microwave measurements acquired from <span class="hlt">NASA</span> satellites to improve USDA (U.S. Department of Agriculture) Forest Service forecasting of avalanche danger. Regional Avalanche Centers prepare avalanche forecasts using ground measurements of snowpack and mountain weather conditions. In this Solution, range of the in situ observations is extended by adding remote sensing measurements of snow depth, snow water equivalent, and snowfall rate acquired by satellite missions that include Aqua, CloudSat, future GPM (<span class="hlt">Global</span> <span class="hlt">Precipitation</span> Measurement), and the proposed SCLP (Snow and Cold Land Processes). Measurements of snowpack conditions and time evolution are improved by combining the in situ and satellite observations with a snow model. Recurring snow observations from <span class="hlt">NASA</span> satellites increase accuracy of avalanche forecasting, which helps the public and the managers of public facilities make better avalanche safety decisions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JASTP.167....1H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JASTP.167....1H"><span>Storm phase-partitioned rates and budgets of <span class="hlt">global</span> Alfvénic energy deposition, electron <span class="hlt">precipitation</span>, and ion outflow</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hatch, Spencer M.; LaBelle, James; Chaston, Christopher C.</p> <p>2018-01-01</p> <p>We review the role of Alfvén waves in magnetosphere-ionosphere coupling during geomagnetically active periods, and use three years of high-latitude FAST satellite observations of inertial Alfvén waves (IAWs) together with 55 years of tabulated measurements of the Dst index to answer the following questions: 1) How do <span class="hlt">global</span> rates of IAW-related energy deposition, electron <span class="hlt">precipitation</span>, and ion outflow during storm main phase and storm recovery phase compare with <span class="hlt">global</span> rates during geomagnetically quiet periods? 2) What fraction of net IAW-related energy deposition, electron <span class="hlt">precipitation</span>, and ion outflow is associated with storm main phase and storm recovery phase; that is, how are these budgets partitioned by storm phase? We find that during the period between October 1996 and November 1999, rates of IAW-related energy deposition, electron <span class="hlt">precipitation</span>, and ion outflow during geomagnetically quiet periods are increased by factors of 4-5 during storm phases. We also find that ∼62-68% of the net Alfvénic energy deposition, electron <span class="hlt">precipitation</span>, and ion outflow in the auroral ionosphere occurred during storm main and recovery phases, despite storm phases comprising only 31% of this period. In particular storm main phase, which comprised less than 14% of the three-year period, was associated with roughly a third of the total Alfvénic energy input and ion outflow in the auroral ionosphere. Measures of geomagnetic activity during the IAW study period fall near corresponding 55-year median values, from which we conclude that each storm phase is associated with a fraction of total Alfvénic energy, <span class="hlt">precipitation</span>, and outflow budgets in the auroral ionosphere that is, in the long term, probably as great or greater than the fraction associated with geomagnetic quiescence for all times except possibly those when geomagnetic activity is protractedly weak, such as solar minimum. These results suggest that the budgets of IAW-related energy deposition, electron</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=world+AND+forests&pg=7&id=EJ130086','ERIC'); return false;" href="https://eric.ed.gov/?q=world+AND+forests&pg=7&id=EJ130086"><span>Acid <span class="hlt">Precipitation</span> and the Forest Ecosystem</span></a></p> <p><a target="_blank" href="http://www.eric.ed.gov/ERICWebPortal/search/extended.jsp?_pageLabel=advanced">ERIC Educational Resources Information Center</a></p> <p>Dochinger, Leon S.; Seliga, Thomas A.</p> <p>1975-01-01</p> <p>The First International Symposium on Acid <span class="hlt">Precipitation</span> and the Forest Ecosystem dealt with the potential magnitude of the <span class="hlt">global</span> effects of acid <span class="hlt">precipitation</span> on aquatic ecosystems, forest soils, and forest vegetation. The problem is discussed in the light of atmospheric chemistry, transport, and <span class="hlt">precipitation</span>. (Author/BT)</p> </li> </ol> <div class="pull-right"> <ul class="pagination"> <li><a href="#" onclick='return showDiv("page_1");'>«</a></li> <li><a href="#" onclick='return showDiv("page_21");'>21</a></li> <li><a href="#" onclick='return showDiv("page_22");'>22</a></li> <li><a href="#" onclick='return showDiv("page_23");'>23</a></li> <li><a href="#" onclick='return showDiv("page_24");'>24</a></li> <li class="active"><span>25</span></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_25 --> <div class="footer-extlink text-muted" style="margin-bottom:1rem; text-align:center;">Some links on this page may take you to non-federal websites. 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