Sample records for nasa lightning imaging

  1. Lightning NOx Estimates from Space-Based Lightning Imagers

    NASA Technical Reports Server (NTRS)

    Koshak, William J.

    2017-01-01

    The intense heating of air by a lightning channel, and subsequent rapid cooling, leads to the production of lightning nitrogen oxides (NOx = NO + NO2) as discussed in Chameides [1979]. In turn, the lightning nitrogen oxides (or "LNOx" for brevity) indirectly influences the Earth's climate because the LNOx molecules are important in controlling the concentration of ozone (O3) and hydroxyl radicals (OH) in the atmosphere. Climate is most sensitive to O3 in the upper troposphere, and LNOx is the most important source of NOx in the upper troposphere at tropical and subtropical latitudes; hence, lightning is a useful parameter to monitor for climate assessments. The National Climate Assessment (NCA) program was created in response to the Congressionally-mandated Global Change Research Act (GCRA) of 1990. Thirteen US government organizations participate in the NCA program which examines the effects of global change on the natural environment, human health and welfare, energy production and use, land and water resources, human social systems, transportation, agriculture, and biological diversity. The NCA focuses on natural and human-induced trends in global change, and projects major trends 25 to 100 years out. In support of the NCA, the NASA Marshall Space Flight Center (MSFC) continues to assess lightning-climate inter-relationships. This activity applies a variety of NASA assets to monitor in detail the changes in both the characteristics of ground- and space- based lightning observations as they pertain to changes in climate. In particular, changes in lightning characteristics over the conterminous US (CONUS) continue to be examined by this author using data from the Tropical Rainfall Measuring Mission Lightning Imaging Sensor. In this study, preliminary estimates of LNOx trends derived from TRMM/LIS lightning optical energy observations in the 17 yr period 1998-2014 are provided. This represents an important first step in testing the ability to make remote retrievals

  2. NASA Manned Launch Vehicle Lightning Protection Development

    NASA Technical Reports Server (NTRS)

    McCollum, Matthew B.; Jones, Steven R.; Mack, Jonathan D.

    2009-01-01

    Historically, the National Aeronautics and Space Administration (NASA) relied heavily on lightning avoidance to protect launch vehicles and crew from lightning effects. As NASA transitions from the Space Shuttle to the new Constellation family of launch vehicles and spacecraft, NASA engineers are imposing design and construction standards on the spacecraft and launch vehicles to withstand both the direct and indirect effects of lightning. A review of current Space Shuttle lightning constraints and protection methodology will be presented, as well as a historical review of Space Shuttle lightning requirements and design. The Space Shuttle lightning requirements document, NSTS 07636, Lightning Protection, Test and Analysis Requirements, (originally published as document number JSC 07636, Lightning Protection Criteria Document) was developed in response to the Apollo 12 lightning event and other experiences with NASA and the Department of Defense launch vehicles. This document defined the lightning environment, vehicle protection requirements, and design guidelines for meeting the requirements. The criteria developed in JSC 07636 were a precursor to the Society of Automotive Engineers (SAE) lightning standards. These SAE standards, along with Radio Technical Commission for Aeronautics (RTCA) DO-160, Environmental Conditions and Test Procedures for Airborne Equipment, are the basis for the current Constellation lightning design requirements. The development and derivation of these requirements will be presented. As budget and schedule constraints hampered lightning protection design and verification efforts, the Space Shuttle elements waived the design requirements and relied on lightning avoidance in the form of launch commit criteria (LCC) constraints and a catenary wire system for lightning protection at the launch pads. A better understanding of the lightning environment has highlighted the vulnerability of the protection schemes and associated risk to the vehicle

  3. A NASA Lightning Parameterization for CMAQ

    NASA Technical Reports Server (NTRS)

    Koshak, William; Khan, Maudood; Biazar, Arastoo; Newchurch, Mike; McNider, Richard

    2009-01-01

    Many state and local air quality agencies use the U.S. Environmental Protection Agency (EPA) Community Multiscale Air Quality (CMAQ) modeling system to determine compliance with the National Ambient Air Quality Standards (NAAQS). Because emission reduction scenarios are tested using CMAQ with an aim of determining the most efficient and cost effective strategies for attaining the NAAQS, it is very important that trace gas concentrations derived by CMAQ are accurate. Overestimating concentrations can literally translate into billions of dollars lost by commercial and government industries forced to comply with the standards. Costly health, environmental and socioeconomic problems can result from concentration underestimates. Unfortunately, lightning modeling for CMAQ is highly oversimplified. This leads to very poor estimates of lightning-produced nitrogen oxides "NOx" (= NO + NO2) which directly reduces the accuracy of the concentrations of important CMAQ trace gases linked to NOx concentrations such as ozone and methane. Today it is known that lightning is the most important NOx source in the upper troposphere with a global production rate estimated to vary between 2-20 Tg(N)/yr. In addition, NOx indirectly influences our climate since it controls the concentration of ozone and hydroxyl radicals (OH) in the atmosphere. Ozone is an important greenhouse gas and OH controls the oxidation of various greenhouse gases. We describe a robust NASA lightning model, called the Lightning Nitrogen Oxides Model (LNOM) that combines state-of-the-art lightning measurements, empirical results from field studies, and beneficial laboratory results to arrive at a realistic representation of lightning NOx production for CMAQ. NASA satellite lightning data is used in conjunction with ground-based lightning detection systems to assure that the best representation of lightning frequency, geographic location, channel length, channel altitude, strength (i.e., channel peak current), and

  4. Artist's Concept of Jupiter Lightning

    NASA Image and Video Library

    2018-06-06

    This artist's concept of lightning distribution in Jupiter's northern hemisphere incorporates a JunoCam image with artistic embellishments. Data from NASA's Juno mission indicates that most of the lightning activity on Jupiter is near its poles. https://photojournal.jpl.nasa.gov/catalog/PIA22474

  5. NASA Spacecraft Images New Mexico Wildfire

    Atmospheric Science Data Center

    2014-05-15

    article title:  NASA Spacecraft Images New Mexico Wildfire     Left, ...   Lightning ignited the Silver Fire in western New Mexico on June 7, 2013. It has since consumed more than 137,000 acres of timber ...

  6. Learning from concurrent Lightning Imaging Sensor and Lightning Mapping Array observations in preparation for the MTG-LI mission

    NASA Astrophysics Data System (ADS)

    Defer, Eric; Bovalo, Christophe; Coquillat, Sylvain; Pinty, Jean-Pierre; Farges, Thomas; Krehbiel, Paul; Rison, William

    2016-04-01

    The upcoming decade will see the deployment and the operation of French, European and American space-based missions dedicated to the detection and the characterization of the lightning activity on Earth. For instance the Tool for the Analysis of Radiation from lightNIng and Sprites (TARANIS) mission, with an expected launch in 2018, is a CNES mission dedicated to the study of impulsive energy transfers between the atmosphere of the Earth and the space environment. It will carry a package of Micro Cameras and Photometers (MCP) to detect and locate lightning flashes and triggered Transient Luminous Events (TLEs). At the European level, the Meteosat Third Generation Imager (MTG-I) satellites will carry in 2019 the Lightning Imager (LI) aimed at detecting and locating the lightning activity over almost the full disk of Earth as usually observed with Meteosat geostationary infrared/visible imagers. The American community plans to operate a similar instrument on the GOES-R mission for an effective operation in early 2016. In addition NASA will install in 2016 on the International Space Station the spare version of the Lightning Imaging Sensor (LIS) that has proved its capability to optically detect the tropical lightning activity from the Tropical Rainfall Measuring Mission (TRMM) spacecraft. We will present concurrent observations recorded by the optical space-borne Lightning Imaging Sensor (LIS) and the ground-based Very High Frequency (VHF) Lightning Mapping Array (LMA) for different types of lightning flashes. The properties of the cloud environment will also be considered in the analysis thanks to coincident observations of the different TRMM cloud sensors. The characteristics of the optical signal will be discussed according to the nature of the parent flash components and the cloud properties. This study should provide some insights not only on the expected optical signal that will be recorded by LI, but also on the definition of the validation strategy of LI, and

  7. Trends in Lightning Electrical Energy Derived from the Lightning Imaging Sensor

    NASA Astrophysics Data System (ADS)

    Bitzer, P. M.; Koshak, W. J.

    2016-12-01

    We present results detailing an emerging application of space-based measurement of lightning: the electrical energy. This is a little-used attribute of lightning data which can have applications for severe weather, lightning physics, and wildfires. In particular, we use data from the Tropical Rainfall Measuring Mission Lightning Imaging Sensor (TRMM/LIS) to find the temporal and spatial variations in the detected spectral energy density. This is used to estimate the total lightning electrical energy, following established methodologies. Results showing the trend in time of the electrical energy, as well as the distribution around the globe, will be highlighted. While flashes have been typically used in most studies, the basic scientifically-relevant measured unit by LIS is the optical group data product. This generally corresponds to a return stroke or IC pulse. We explore how the electrical energy varies per LIS group, providing an extension and comparison with previous investigations. The result is an initial climatology of this new and important application of space-based optical measurements of lightning, which can provide a baseline for future applications using the Geostationary Lightning Mapper (GLM), the European Lightning Imager (LI), and the International Space Station Lightning Imaging Sensor (ISS/LIS) instruments.

  8. Lightning NOx Statistics Derived by NASA Lightning Nitrogen Oxides Model (LNOM) Data Analyses

    NASA Technical Reports Server (NTRS)

    Koshak, William; Peterson, Harold

    2013-01-01

    What is the LNOM? The NASA Marshall Space Flight Center (MSFC) Lightning Nitrogen Oxides Model (LNOM) [Koshak et al., 2009, 2010, 2011; Koshak and Peterson 2011, 2013] analyzes VHF Lightning Mapping Array (LMA) and National Lightning Detection Network(TradeMark) (NLDN) data to estimate the lightning nitrogen oxides (LNOx) produced by individual flashes. Figure 1 provides an overview of LNOM functionality. Benefits of LNOM: (1) Does away with unrealistic "vertical stick" lightning channel models for estimating LNOx; (2) Uses ground-based VHF data that maps out the true channel in space and time to < 100 m accuracy; (3) Therefore, true channel segment height (ambient air density) is used to compute LNOx; (4) True channel length is used! (typically tens of kilometers since channel has many branches and "wiggles"); (5) Distinction between ground and cloud flashes are made; (6) For ground flashes, actual peak current from NLDN used to compute NOx from lightning return stroke; (7) NOx computed for several other lightning discharge processes (based on Cooray et al., 2009 theory): (a) Hot core of stepped leaders and dart leaders, (b) Corona sheath of stepped leader, (c) K-change, (d) Continuing Currents, and (e) M-components; and (8) LNOM statistics (see later) can be used to parameterize LNOx production for regional air quality models (like CMAQ), and for global chemical transport models (like GEOS-Chem).

  9. The NASA Lightning Nitrogen Oxides Model (LNOM): Recent Updates and Applications

    NASA Technical Reports Server (NTRS)

    Koshak, William; Peterson, Harold; Biazar, Arastoo; Khan, Maudood; Wang, Lihua; Park, Yee-Hun

    2011-01-01

    Improvements to the NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) and its application to the Community Multiscale Air Quality (CMAQ) modeling system are presented. The LNOM analyzes Lightning Mapping Array (LMA) and National Lightning Detection Network(tm) (NLDN) data to estimate the raw (i.e., unmixed and otherwise environmentally unmodified) vertical profile of lightning NOx (= NO + NO2). Lightning channel length distributions and lightning 10-m segment altitude distributions are also provided. In addition to NOx production from lightning return strokes, the LNOM now includes non-return stroke lightning NOx production due to: hot core stepped and dart leaders, stepped leader corona sheath, K-changes, continuing currents, and M-components. The impact of including LNOM-estimates of lightning NOx for an August 2006 run of CMAQ is discussed.

  10. Jovian Lightning and Moonlit Clouds

    NASA Technical Reports Server (NTRS)

    1997-01-01

    Jovian lightning and moonlit clouds. These two images, taken 75 minutes apart, show lightning storms on the night side of Jupiter along with clouds dimly lit by moonlight from Io, Jupiter's closest moon. The images were taken in visible light and are displayed in shades of red. The images used an exposure time of about one minute, and were taken when the spacecraft was on the opposite side of Jupiter from the Earth and Sun. Bright storms are present at two latitudes in the left image, and at three latitudes in the right image. Each storm was made visible by multiple lightning strikes during the exposure. Other Galileo images were deliberately scanned from east to west in order to separate individual flashes. The images show that Jovian and terrestrial lightning storms have similar flash rates, but that Jovian lightning strikes are a few orders of magnitude brighter in visible light.

    The moonlight from Io allows the lightning storms to be correlated with visible cloud features. The latitude bands where the storms are seen seem to coincide with the 'disturbed regions' in daylight images, where short-lived chaotic motions push clouds to high altitudes, much like thunderstorms on Earth. The storms in these images are roughly one to two thousand kilometers across, while individual flashes appear hundreds of kilometer across. The lightning probably originates from the deep water cloud layer and illuminates a large region of the visible ammonia cloud layer from 100 kilometers below it.

    There are several small light and dark patches that are artifacts of data compression. North is at the top of the picture. The images span approximately 50 degrees in latitude and longitude. The lower edges of the images are aligned with the equator. The images were taken on October 5th and 6th, 1997 at a range of 6.6 million kilometers by the Solid State Imaging (SSI) system on NASA's Galileo spacecraft.

    The Jet Propulsion Laboratory, Pasadena, CA manages the Galileo mission for

  11. The NASA Lightning Nitrogen Oxides Model (LNOM): Application to Air Quality Modeling

    NASA Technical Reports Server (NTRS)

    Koshak, William; Peterson, Harold; Khan, Maudood; Biazar, Arastoo; Wang, Lihua

    2011-01-01

    Recent improvements to the NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) and its application to the Community Multiscale Air Quality (CMAQ) modeling system are discussed. The LNOM analyzes Lightning Mapping Array (LMA) and National Lightning Detection Network(TradeMark)(NLDN) data to estimate the raw (i.e., unmixed and otherwise environmentally unmodified) vertical profile of lightning NO(x) (= NO + NO2). The latest LNOM estimates of lightning channel length distributions, lightning 1-m segment altitude distributions, and the vertical profile of lightning NO(x) are presented. The primary improvement to the LNOM is the inclusion of non-return stroke lightning NOx production due to: (1) hot core stepped and dart leaders, (2) stepped leader corona sheath, K-changes, continuing currents, and M-components. The impact of including LNOM-estimates of lightning NO(x) for an August 2006 run of CMAQ is discussed.

  12. Smart CMOS image sensor for lightning detection and imaging.

    PubMed

    Rolando, Sébastien; Goiffon, Vincent; Magnan, Pierre; Corbière, Franck; Molina, Romain; Tulet, Michel; Bréart-de-Boisanger, Michel; Saint-Pé, Olivier; Guiry, Saïprasad; Larnaudie, Franck; Leone, Bruno; Perez-Cuevas, Leticia; Zayer, Igor

    2013-03-01

    We present a CMOS image sensor dedicated to lightning detection and imaging. The detector has been designed to evaluate the potentiality of an on-chip lightning detection solution based on a smart sensor. This evaluation is performed in the frame of the predevelopment phase of the lightning detector that will be implemented in the Meteosat Third Generation Imager satellite for the European Space Agency. The lightning detection process is performed by a smart detector combining an in-pixel frame-to-frame difference comparison with an adjustable threshold and on-chip digital processing allowing an efficient localization of a faint lightning pulse on the entire large format array at a frequency of 1 kHz. A CMOS prototype sensor with a 256×256 pixel array and a 60 μm pixel pitch has been fabricated using a 0.35 μm 2P 5M technology and tested to validate the selected detection approach.

  13. First images of thunder: Acoustic imaging of triggered lightning

    NASA Astrophysics Data System (ADS)

    Dayeh, M. A.; Evans, N. D.; Fuselier, S. A.; Trevino, J.; Ramaekers, J.; Dwyer, J. R.; Lucia, R.; Rassoul, H. K.; Kotovsky, D. A.; Jordan, D. M.; Uman, M. A.

    2015-07-01

    An acoustic camera comprising a linear microphone array is used to image the thunder signature of triggered lightning. Measurements were taken at the International Center for Lightning Research and Testing in Camp Blanding, FL, during the summer of 2014. The array was positioned in an end-fire orientation thus enabling the peak acoustic reception pattern to be steered vertically with a frequency-dependent spatial resolution. On 14 July 2014, a lightning event with nine return strokes was successfully triggered. We present the first acoustic images of individual return strokes at high frequencies (>1 kHz) and compare the acoustically inferred profile with optical images. We find (i) a strong correlation between the return stroke peak current and the radiated acoustic pressure and (ii) an acoustic signature from an M component current pulse with an unusual fast rise time. These results show that acoustic imaging enables clear identification and quantification of thunder sources as a function of lightning channel altitude.

  14. A Summary of the NASA Lightning Nitrogen Oxides Model (LNOM) and Recent Results

    NASA Technical Reports Server (NTRS)

    Koshak, William; Peterson, Harld

    2011-01-01

    The NASA Marshall Space Flight Center introduced the Lightning Nitrogen Oxides Model (LNOM) a couple of years ago to combine routine state-of-the-art measurements of lightning with empirical laboratory results of lightning NOx production. The routine measurements included VHF lightning source data [such as from the North Alabama Lightning Mapping Array (LMA)], and ground flash location, peak current, and stroke multiplicity data from the National Lightning Detection Network(TradeMark) (NLDN). Following these initial runs of LNOM, the model was updated to include several non-return stroke lightning NOx production mechanisms, and provided the impact of lightning NOx on an August 2006 run of CMAQ. In this study, we review the evolution of the LNOM in greater detail and discuss the model?s latest upgrades and applications. Whereas previous applications were limited to five summer months of data for North Alabama thunderstorms, the most recent LNOM analyses cover several years. The latest statistics of ground and cloud flash NOx production are provided.

  15. Ten years of Lightning Imaging Sensor (LIS) data: Preparing the way for geostationary lightning imaging

    NASA Astrophysics Data System (ADS)

    Grandell, J.; Stuhlmann, R.

    2010-09-01

    The Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measurement Mission (TRMM) platform has provided a continuous source of lightning observations in the +/- 35 deg latitude region since 1998. LIS, together with its predecessor Optical Transient Detector (OTD) have established an unprecedented database of optical observations of lightning from a low-earth orbit, allowing a more consistent and uniform view of lightning that has been available from any ground-based system so far. The main disadvantage of LIS is that, since it operates on a low-earth orbit with a low inclination, only a small part of the globe is viewed at a time and only for a duration of ~2 minutes, and for a rapidly changing phenomenon like convection and the lightning related thereto this is far from optimal. This temporal sampling deficiency can, however, be overcome with observations from a geostationary orbit. One such mission in preparation is the Lightning Imager on-board the Meteosat Third Generation (MTG) satellite, which will provide service continuation to the Meteosat Second Generation (MSG) system from 2018 onwards. The current MSG system has become the primary European source of geostationary observations over Europe and Africa with the start of nominal operations in January 2004, and will be delivering observations and services at least until 2017. However, considering the typical development cycle for a new complex space system, it was already for a longer time necessary to plan for and define the MTG system. MTG needs to be available around 2016, before the end of the nominal lifetime of MSG-3. One of the new missions selected for MTG is the previously mentioned Lightning Imager (LI) mission, detecting continuously over almost the full disc the lightning discharges taking place in clouds or between cloud and ground with a resolution around 10 km. The LI mission is intended to provide a real time lightning detection (cloud-to-cloud and cloud-to-ground strokes) and

  16. Geostationary Lightning Mapper for GOES-R

    NASA Technical Reports Server (NTRS)

    Goodman, Steven; Blakeslee, Richard; Koshak, William

    2007-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR optical detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch in 2014 will carry a GLM that will provide continuous day and night observations of lightning from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fully operational. The mission objectives for the GLM are to 1) provide continuous, full-disk lightning measurements for storm warning and Nowcasting, 2) provide early warning of tornadic activity, and 3) accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997-Present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 11 year data record of global lightning activity. Instrument formulation studies begun in January 2006 will be completed in March 2007, with implementation expected to begin in September 2007. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite, airborne science missions (e.g., African Monsoon Multi-disciplinary Analysis, AMMA), and regional test beds (e.g, Lightning Mapping Arrays) are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. Real time lightning mapping data now being provided to selected forecast offices will lead to improved understanding of the application of these data in the severe storm warning process and accelerate the development of the pre-launch algorithms and Nowcasting applications. Proxy data combined with MODIS and Meteosat Second Generation SEVERI observations will also lead to new

  17. GOES-R Geostationary Lightning Mapper Performance Specifications and Algorithms

    NASA Technical Reports Server (NTRS)

    Mach, Douglas M.; Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Petersen, William A.; Boldi, Robert A.; Carey, Lawrence D.; Bateman, Monte G.; Buchler, Dennis E.; McCaul, E. William, Jr.

    2008-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR imager/optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series will carry a GLM that will provide continuous day and night observations of lightning. The mission objectives for the GLM are to: (1) Provide continuous, full-disk lightning measurements for storm warning and nowcasting, (2) Provide early warning of tornadic activity, and (2) Accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997- present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 13 year data record of global lightning activity. GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms and applications. The science data will consist of lightning "events", "groups", and "flashes". The algorithm is being designed to be an efficient user of the computational resources. This may include parallelization of the code and the concept of sub-dividing the GLM FOV into regions to be processed in parallel. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds (e.g., Lightning Mapping Arrays in North Alabama, Oklahoma, Central Florida, and the Washington DC Metropolitan area) are being used to develop the prelaunch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution.

  18. Lightning effects on the NASA F-8 digital-fly-by-wire airplane

    NASA Technical Reports Server (NTRS)

    Plumer, J. A.; Fisher, F. A.; Walko, L. C.

    1975-01-01

    The effects of lightning on a Digital Fly-By-Wire (DFBW)aircraft control system were investigated. The aircraft was a NASA operated F-8 fitted with a modified Apollo guidance computer. Current pulses similar in waveshape to natural lightning, but lower in amplitude, were injected into the aircraft. Measurements were made of the voltages induced on the DFBW circuits, the total current induced on the bundles of wires, the magnetic field intensity inside the aircraft, and the current density on the skin of the aircraft. Voltage measurements were made in both the line-to-ground and line-to-line modes. Voltages measured at the non-destructive test level were then scaled upward to determine how much would be produced by actual lightning. A 200,000 ampere severe lightning flash would produce between 40 and 2000 volts in DFBW circuits. Some system components are expected to be vulnerable to these voltages.

  19. Lightning Protection

    NASA Technical Reports Server (NTRS)

    1991-01-01

    Lightning Technologies, Inc., Pittsfield, MA, - a spinoff company founded by president J. Anderson Plumer, a former NASA contractor employee who developed his expertise with General Electric Company's High Voltage Laboratory - was a key player in Langley Research Center's Storm Hazards Research Program. Lightning Technologies used its NASA acquired experience to develop protective measures for electronic systems and composite structures on aircraft, both of which are particularly susceptible to lightning damage. The company also provides protection design and verification testing services for complete aircraft systems or individual components. Most aircraft component manufacturers are among Lightning Technologies' clients.

  20. Geostationary Lightning Mapper for GOES-R and Beyond

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, R. J.; Koshak, W.

    2008-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR imager/optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch readiness in December 2014 will carry a GLM that will provide continuous day and night observations of lightning from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fUlly operational. The mission objectives for the GLM are to 1) provide continuous, full-disk lightning measurements for storm warning and nowcasting, 2) provide early warning of tornadic activity, and 3) accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997-Present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 13 year data record of global lightning activity. Instrument formulation studies were completed in March 2007 and the implementation phase to develop a prototype model and up to four flight models will be underway in the latter part of 2007. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms and applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds (e.g., Lightning Mapping Arrays in North Alabama and the Washington DC Metropolitan area) are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. Real time lightning mapping data are being provided in an experimental mode to selected National Weather Service (NWS

  1. Data Retrieval Algorithms for Validating the Optical Transient Detector and the Lightning Imaging Sensor

    NASA Technical Reports Server (NTRS)

    Koshak, W. J.; Blakeslee, R. J.; Bailey, J. C.

    2000-01-01

    A linear algebraic solution is provided for the problem of retrieving the location and time of occurrence of lightning ground strikes from an Advanced Lightning Direction Finder (ALDF) network. The ALDF network measures field strength, magnetic bearing, and arrival time of lightning radio emissions. Solutions for the plane (i.e., no earth curvature) are provided that implement all of these measurements. The accuracy of the retrieval method is tested using computer-simulated datasets, and the relative influence of bearing and arrival time data an the outcome of the final solution is formally demonstrated. The algorithm is sufficiently accurate to validate NASA:s Optical Transient Detector and Lightning Imaging Sensor. A quadratic planar solution that is useful when only three arrival time measurements are available is also introduced. The algebra of the quadratic root results are examined in detail to clarify what portions of the analysis region lead to fundamental ambiguities in sc)iirce location, Complex root results are shown to be associated with the presence of measurement errors when the lightning source lies near an outer sensor baseline of the ALDF network. For arbitrary noncollinear network geometries and in the absence of measurement errors, it is shown that the two quadratic roots are equivalent (no source location ambiguity) on the outer sensor baselines. The accuracy of the quadratic planar method is tested with computer-generated datasets, and the results are generally better than those obtained from the three-station linear planar method when bearing errors are about 2 deg.

  2. A Comparison of Lightning Flashes as Observed by the Lightning Imaging Sensor and the North Alabama Lightning Mapping Array

    NASA Technical Reports Server (NTRS)

    Bateman, M. G.; Mach, D. M.; McCaul, M. G.; Bailey, J. C.; Christian, H. J.

    2008-01-01

    The Lightning Imaging Sensor (LIS) aboard the TRMM satellite has been collecting optical lightning data since November 1997. A Lightning Mapping Array (LMA) that senses VHF impulses from lightning was installed in North Alabama in the Fall of 2001. A dataset has been compiled to compare data from both instruments for all times when the LIS was passing over the domain of our LMA. We have algorithms for both instruments to group pixels or point sources into lightning flashes. This study presents the comparison statistics of the flash data output (flash duration, size, and amplitude) from both algorithms. We will present the results of this comparison study and show "point-level" data to explain the differences. AS we head closer to realizing a Global Lightning Mapper (GLM) on GOES-R, better understanding and ground truth of each of these instruments and their respective flash algorithms is needed.

  3. Narrow-band filters for the lightning imager

    NASA Astrophysics Data System (ADS)

    Piegari, Angela; Di Sarcina, Ilaria; Grilli, Maria Luisa; Menchini, Francesca; Scaglione, Salvatore; Sytchkova, Anna; Zola, Danilo; Cuevas, Leticia P.

    2017-11-01

    The study of lightning phenomena will be carried out by a dedicated instrument, the lightning imager, that will make use of narrow-band transmission filters for separating the Oxygen emission lines in the clouds, from the background signal. The design, manufacturing and testing of these optical filters will be described here.

  4. Lightning Imaging Sensor (LIS) for the International Space Station (ISS): Mission Description and Science Goals

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Christian, H. J.; Stewart, M. F.; Mach, D. M.; Buechler, D. E.; Koshak, W. J.

    2014-01-01

    In recent years, NASA Marshall Space Flight Center, the University of Alabama in Huntsville, and their partners have developed and demonstrated space-based lightning observations as an effective remote sensing tool for Earth science research and applications. The Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) continues to provide global observations of total lightning after 17 years on-orbit. In April 2013, a space-qualified LIS built as the flight spare for TRMM, was selected for flight as a science mission on the International Space Station. The ISS LIS (or I-LIS as Hugh Christian prefers) will be flown as a hosted payload on the Department of Defense Space Test Program (STP) H5 mission, which has a January 2016 baseline launch date aboard a SpaceX launch vehicle for a 2-4 year or longer mission. The LIS measures the amount, rate, and radiant energy of global lightning. More specifically, it measures lightning during both day and night, with storm scale resolution, millisecond timing, and high, uniform detection efficiency, without any land-ocean bias. Lightning is a direct and most impressive response to intense atmospheric convection. It has been found that the characteristics of lightning that LIS measures can be quantitatively coupled to both thunderstorm and other geophysical processes. Therefore, the ISS LIS lightning observations will provide important gap-filling inputs to pressing Earth system science issues across a broad range of disciplines, including weather, climate, atmospheric chemistry, and lightning physics. A unique contribution from the ISS platform will be the availability of real-time lightning, especially valuable for operational applications over data sparse regions such as the oceans. The ISS platform will also uniquely enable LIS to provide simultaneous and complementary observations with other payloads such as the European Space Agency's Atmosphere-Space Interaction Monitor (ASIM) that will be exploring

  5. Lightning Imaging Sensor (LIS) on the International Space Station (ISS): Launch, Installation, Activation and First Results

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Christian, H. J.; Mach, D. M.; Buechler, D. E.; Wharton, N. A.; Stewart, M. F.; Ellett, W. T.; Koshak, W. J.; Walker, T. D.; Virts, K.; hide

    2017-01-01

    Mission: Fly a flight-spare LIS (Lightning Imaging Sensor) on ISS to take advantage of unique capabilities provided by the ISS (e.g., high inclination, real time data); Integrate LIS as a hosted payload on the DoD Space Test Program-Houston 5 (STP-H5) mission and launch on a Space X rocket for a minimum 2 year mission. Measurement: NASA and its partners developed and demonstrated effectiveness and value of using space-based lightning observations as a remote sensing tool; LIS measures lightning (amount, rate, radiant energy) with storm scale resolution, millisecond timing, and high detection efficiency, with no land-ocean bias. Benefit: LIS on ISS will extend TRMM (Tropical Rainfall Measuring Mission) time series observations, expand latitudinal coverage, provide real time data to operational users, and enable cross-sensor calibration.

  6. LOFAR Lightning Imaging: Mapping Lightning With Nanosecond Precision

    NASA Astrophysics Data System (ADS)

    Hare, B. M.; Scholten, O.; Bonardi, A.; Buitink, S.; Corstanje, A.; Ebert, U.; Falcke, H.; Hörandel, J. R.; Leijnse, H.; Mitra, P.; Mulrey, K.; Nelles, A.; Rachen, J. P.; Rossetto, L.; Rutjes, C.; Schellart, P.; Thoudam, S.; Trinh, T. N. G.; ter Veen, S.; Winchen, T.

    2018-03-01

    Lightning mapping technology has proven instrumental in understanding lightning. In this work we present a pipeline that can use lightning observed by the LOw-Frequency ARray (LOFAR) radio telescope to construct a 3-D map of the flash. We show that LOFAR has unparalleled precision, on the order of meters, even for lightning flashes that are over 20 km outside the area enclosed by LOFAR antennas (˜3,200 km2), and can potentially locate over 10,000 sources per lightning flash. We also show that LOFAR is the first lightning mapping system that is sensitive to the spatial structure of the electrical current during individual lightning leader steps.

  7. The 13 years of TRMM Lightning Imaging Sensor: From Individual Flash Characteristics to Decadal Tendencies

    NASA Technical Reports Server (NTRS)

    Albrecht, R. I.; Goodman, S. J.; Petersen, W. A.; Buechler, D. E.; Bruning, E. C.; Blakeslee, R. J.; Christian, H. J.

    2011-01-01

    How often lightning strikes the Earth has been the object of interest and research for decades. Several authors estimated different global flash rates using ground-based instruments, but it has been the satellite era that enabled us to monitor lightning thunderstorm activity on the time and place that lightning exactly occurs. Launched into space as a component of NASA s Tropical Rainfall Measuring Mission (TRMM) satellite, in November 1997, the Lighting Imaging Sensor (LIS) is still operating. LIS detects total lightning (i.e., intracloud and cloud-to-ground) from space in a low-earth orbit (35deg orbit). LIS has collected lightning measurements for 13 years (1998-2010) and here we present a fully revised and current total lightning climatology over the tropics. Our analysis includes the individual flash characteristics (number of events and groups, total radiance, area footprint, etc.), composite climatological maps, and trends for the observed total lightning during these 13 years. We have identified differences in the energetics of the flashes and/or the optical scattering properties of the storms cells due to cell-relative variations in microphysics and kinematics (i.e., convective or stratiform rainfall). On the climatological total lightning maps we found a dependency on the scale of analysis (resolution) in identifying the lightning maximums in the tropics. The analysis of total lightning trends observed by LIS from 1998 to 2010 in different temporal (annual and seasonal) and spatial (large and regional) scales, showed no systematic trends in the median to lower-end of the distributions, but most places in the tropics presented a decrease in the highest total lightning flash rates (higher-end of the distributions).

  8. Tests of the Grobner Basis Solution for Lightning Ground Flash Fraction Retrieval

    NASA Technical Reports Server (NTRS)

    Koshak, William; Solakiewicz, Richard; Attele, Rohan

    2011-01-01

    Satellite lightning imagers such as the NASA Tropical Rainfall Measuring Mission Lightning Imaging Sensor (TRMM/LIS) and the future GOES-R Geostationary Lightning Mapper (GLM) are designed to detect total lightning (ground flashes + cloud flashes). However, there is a desire to discriminate ground flashes from cloud flashes from the vantage point of space since this would enhance the overall information content of the satellite lightning data and likely improve its operational and scientific applications (e.g., in severe weather warning, lightning nitrogen oxides studies, and global electric circuit analyses). A Bayesian inversion method was previously introduced for retrieving the fraction of ground flashes in a set of flashes observed from a satellite lightning imager. The method employed a constrained mixed exponential distribution model to describe the lightning optical measurements. To obtain the optimum model parameters (one of which is the ground flash fraction), a scalar function was minimized by a numerical method. In order to improve this optimization, a Grobner basis solution was introduced to obtain analytic representations of the model parameters that serve as a refined initialization scheme to the numerical optimization. In this study, we test the efficacy of the Grobner basis initialization using actual lightning imager measurements and ground flash truth derived from the national lightning network.

  9. Lightning Imaging Sensor (LIS) for the International Space Station (ISS): Mission Description and Science Goals

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Christian, H. J.; Mach, D. M.; Buechler, D. E.; Koshak, W. J.; Walker, T. D.; Bateman, M.; Stewart, M. F.; O'Brien, S.; Wilson, T.; hide

    2015-01-01

    In recent years, the NASA Marshall Space Flight Center, the University of Alabama in Huntsville, and their partners have developed and demonstrated space-based lightning observations as an effective remote sensing tool for Earth science research and applications. The Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) continues to acquire global observations of total (i.e., intracloud and cloud-to-ground) lightning after 17 years on-orbit. However, TRMM is now low on fuel, so this mission will soon be completed. As a follow on to this mission, a space-qualified LIS built as the flight spare for TRMM has been selected for flight as a science mission on the International Space Station (ISS). The ISS LIS will be flown as a hosted payload on the Department of Defense Space Test Program (STP) H5 mission, which has a January 2016 baseline launch date aboard a SpaceX launch vehicle for a 2-4 year or longer mission. The LIS measures the amount, rate, and radiant energy of total lightning over the Earth. More specifically, it measures lightning during both day and night, with storm scale resolution (approx. 4 km), millisecond timing, and high, uniform detection efficiency, without any land-ocean bias. Lightning is a direct and most impressive response to intense atmospheric convection. It has been found that lightning measured by LIS can be quantitatively related to thunderstorm and other geophysical processes. Therefore, the ISS LIS lightning observations will continue to provide important gap-filling inputs to pressing Earth system science issues across a broad range of disciplines, including weather, climate, atmospheric chemistry, and lightning physics. A unique contribution from the ISS platform will be the availability of real-time lightning data, especially valuable for operational applications over data sparse regions such as the oceans. The ISS platform will also uniquely enable LIS to provide simultaneous and complementary observations

  10. Research in lightning swept-stroke attachment patterns and flight conditions with the NASA F-106B airplane

    NASA Technical Reports Server (NTRS)

    Fisher, B. D.; Brown, P. W.; Plumer, J. A.

    1985-01-01

    Data on 637 direct lightning strikes and 117 close flashes observed by the NASA instrumented F-106B aircraft as part of the Storm Hazards Program at NASA Langley during 1980-1984 are compiled and analyzed, updating the report of Fisher and Plumer (1983). The airborne and ground-based measurement and recording apparatus and the flight and data-reduction procedures are described, and the results are discussed in terms of lightning-strike-conducive flight conditions and lightning attachment patterns. A peak strike rate of 2.1/min is found at altitude 38,000-40,000 ft and temperature below -40 C, with very few strikes below 20,000 ft. Four categories of swept-flash attachment pattern are identified, but it is pointed out that all exterior surfaces of the F-106B are potential attachment sites.

  11. NASA Standard Initiator Susceptibility to UHF and S-Band Radio Frequency Power and Lightning Strikes

    NASA Technical Reports Server (NTRS)

    Burnham, Karen; Scully, Robert; Norgard, John

    2013-01-01

    The NASA Standard Initiator (NSI) is an important piece of pyrotechnic equipment used in many space applications. This presentation will outline the results of a series of tests done at UHF and S-Band frequencies to determine NSI susceptibility to Radio Frequency (RF) power. The results show significant susceptibility to pulsed RF power in the S-Band region. Additional testing with lightning pulses injected into the firing line harness, modelling the indirect effects of a lightning strike to a spacecraft, showed no vulnerability

  12. NASA Standard Initiator Susceptibility to UHF and S-Band Radio Frequency Power and Lightning Strikes

    NASA Technical Reports Server (NTRS)

    Burnham, Karen; Scully, Robert C.; Norgard, John D.

    2013-01-01

    The NASA Standard Initiator (NSI) is an important piece of pyrotechnic equipment used in many space applications. This paper outlines the results of a series of tests done at UHF and S-Band frequencies to determine NSI susceptibility to Radio Frequency (RF) power. The results show significant susceptibility to pulsed RF power in the S-Band region. Additional testing with lightning pulses injected into the firing line harness, modelling the indirect effects of a lightning strike to a spacecraft, showed no vulnerability.

  13. Lightning-Related Indicators for National Climate Assessment (NCA) Studies

    NASA Astrophysics Data System (ADS)

    Koshak, W. J.

    2017-12-01

    With the recent advent of space-based lightning mappers [i.e., the Geostationary Lightning Mapper (GLM) on GOES-16, and the Lightning Imaging Sensor (LIS) on the International Space Station], improved investigations on the inter-relationships between lightning and climate are now possible and can directly support the goals of the National Climate Assessment (NCA) program. Lightning nitrogen oxides (LNOx) affect greenhouse gas concentrations such as ozone that influences changes in climate. Conversely, changes in climate (from any causes) can affect the characteristics of lightning (e.g., frequency, current amplitudes, multiplicity, polarity) that in turn leads to changes in lightning-caused impacts to humans (e.g., fatalities, injuries, crop/property damage, wildfires, airport delays, changes in air quality). This study discusses improvements to, and recent results from, the NASA/MSFC NCA Lightning Analysis Tool (LAT). It includes key findings on the development of different types of lightning flash energy indicators derived from space-based lightning observations, and demonstrates how these indicators can be used to estimate trends in LNOx across the continental US.

  14. First Lightning Flashes on Saturn

    NASA Image and Video Library

    2010-04-14

    NASA Cassini spacecraft captured the first lightning flashes on Saturn. The storm that generated the lightning lasted from January to October 2009, making it the longest-lasting lightning storm known in the solar system.

  15. Monte Carlo Radiative Transfer Modeling of Lightning Observed in Galileo Images of Jupiter

    NASA Technical Reports Server (NTRS)

    Dyudine, U. A.; Ingersoll, Andrew P.

    2002-01-01

    We study lightning on Jupiter and the clouds illuminated by the lightning using images taken by the Galileo orbiter. The Galileo images have a resolution of 25 km/pixel and axe able to resolve the shape of the single lightning spots in the images, which have full widths at half the maximum intensity in the range of 90-160 km. We compare the measured lightning flash images with simulated images produced by our ED Monte Carlo light-scattering model. The model calculates Monte Carlo scattering of photons in a ED opacity distribution. During each scattering event, light is partially absorbed. The new direction of the photon after scattering is chosen according to a Henyey-Greenstein phase function. An image from each direction is produced by accumulating photons emerging from the cloud in a small range (bins) of emission angles. Lightning bolts are modeled either as points or vertical lines. Our results suggest that some of the observed scattering patterns axe produced in a 3-D cloud rather than in a plane-parallel cloud layer. Lightning is estimated to occur at least as deep as the bottom of the expected water cloud. For the six cases studied, we find that the clouds above the lightning are optically thick (tau > 5). Jovian flashes are more regular and circular than the largest terrestrial flashes observed from space. On Jupiter there is nothing equivalent to the 30-40-km horizontal flashes which axe seen on Earth.

  16. Mathematical Inversion of Lightning Data: Techniques and Applications

    NASA Technical Reports Server (NTRS)

    Koshak, William

    2003-01-01

    A survey of some interesting mathematical inversion studies dealing with radio, optical, and electrostatic measurements of lightning are presented. A discussion of why NASA is interested in lightning, what specific physical properties of lightning are retrieved, and what mathematical techniques are used to perform the retrievals are discussed. In particular, a relatively new multi-station VHF time-of-arrival (TOA) antenna network is now on-line in Northern Alabama and will be discussed. The network, called the Lightning Mapping Array (LMA), employs GPS timing and detects VHF radiation from discrete segments (effectively point emitters) that comprise the channel of lightning strokes within cloud and ground flashes. The LMA supports on-going ground-validation activities of the low Earth orbiting Lightning Imaging Sensor (LIS) satellite developed at NASA Marshall Space Flight Center (MSFC) in Huntsville, Alabama. The LMA also provides detailed studies of the distribution and evolution of thunderstorms and lightning in the Tennessee Valley, and offers interesting comparisons with other meteorological/geophysical datasets. In order to take full advantage of these benefits, it is essential that the LMA channel mapping accuracy (in both space and time) be fully characterized and optimized. A new channel mapping retrieval algorithm is introduced for this purpose. To characterize the spatial distribution of retrieval errors, the algorithm has been applied to analyze literally tens of millions of computer-simulated lightning VHF point sources that have been placed at various ranges, azimuths, and altitudes relative to the LMA network. Statistical results are conveniently summarized in high-resolution, color-coded, error maps.

  17. Lightning over Equatorial Africa

    NASA Technical Reports Server (NTRS)

    2002-01-01

    These two images were taken 9 seconds apart as the STS-97 Space Shuttle flew over equatorial Africa east of Lake Volta on December 11, 2000. The top of the large thunderstorm, roughly 20 km across, is illuminated by a full moon and frequent bursts of lightning. Because the Space Shuttle travels at about 7 km/sec, the astronaut perspectives on this storm system becomes more oblique over the 9-second interval between photographs. The images were taken with a Nikon 35 mm camera equipped with a 400 mm lens and high-speed (800 ISO) color negative film. Images are STS097-351-9 and STS097-351-12, provided and archived by the Earth Science and Image Analysis Laboratory, Johnson Space Center. Additional images taken by astronauts can be viewed at NASA-JSC's Gateway to Astronaut Photography of Earth at http://eol.jsc.nasa.gov/

  18. Space Shuttle Video Images: An Example of Warm Cloud Lightning

    NASA Technical Reports Server (NTRS)

    Vaughan, Otha H., Jr.; Boeck, William L.

    1998-01-01

    Warm cloud lightning has been reported in several tropical locations. We have been using the intensified monochrome TV cameras at night during a number of shuttle flights to observe large active thunderstorms and their associated lightning. During a nighttime orbital pass of the STS-70 mission on 17 July 1995 at 07:57:42 GMT, the controllers obtained video imagery of a small cloud that was producing lightning. Data from a GOES infrared image establishes that the cloud top had a temperature of about 271 degrees Kelvin ( -2 degrees Celsius). Since this cloud was electrified to the extent that a lightning discharge did occur, it may be another case of lightning in a cloud that presents little if any evidence of frozen or melting precipitation.

  19. A comparison of two ground-based lightning detection networks against the satellite-based lightning imaging sensor (LIS)

    NASA Astrophysics Data System (ADS)

    Thompson, Kelsey B.

    We compared lightning stroke data from the ground-based World Wide Lightning Location Network (WWLLN) and lightning stroke data from the ground-based Earth Networks Total Lightning Network (ENTLN) to lightning group data from the satellite-based Lightning Imaging Sensor (LIS) from 1 January 2010 through 30 June 2011. The region of study, about 39°S to 39°N latitude, 164°E to 17°W longitude, chosen to approximate the Geostationary Lightning Mapper (GLM) field of view, was considered in its entirety and then divided into four geographical sub-regions. We found the highest 18-mon WWLLN coincidence percent (CP) value in the Pacific Ocean at 18.9% and the highest 18-mon ENTLN CP value in North America at 63.3%. We found the lowest 18-mon CP value for both WWLLN and ENTLN in South America at 6.2% and 2.2% respectively. Daily CP values and how often large radiance LIS groups had a coincident stroke varied. Coincidences between LIS groups and ENTLN strokes often resulted in more cloud than ground coincidences in North America and more ground than cloud coincidences in the other three sub-regions.

  20. Lightning Imaging Sensor (LIS) on the International Space Station (ISS): Launch, Installation, Activation, and First Results

    NASA Astrophysics Data System (ADS)

    Blakeslee, R. J.; Christian, H. J., Jr.; Mach, D. M.; Buechler, D. E.; Koshak, W. J.; Walker, T. D.; Bateman, M. G.; Stewart, M. F.; O'Brien, S.; Wilson, T. O.; Pavelitz, S. D.; Coker, C.

    2016-12-01

    Over the past 20 years, the NASA Marshall Space Flight Center, the University of Alabama in Huntsville, and their partners developed and demonstrated the effectiveness and value of space-based lightning observations as a remote sensing tool for Earth science research and applications, and, in the process, established a robust global lightning climatology. The observations included measurements from the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) and its Optical Transient Detector (OTD) predecessor that acquired global observations of total lightning (i.e., intracloud and cloud-to-ground discharges) spanning a period from May 1995 through April 2015. As an exciting follow-on to these prior missions, a space-qualified LIS built as a flight-spare for TRMM will be delivered to the International Space Station (ISS) for a 2 year or longer mission, flown as a hosted payload on the Department of Defense (DoD) Space Test Program-Houston 5 (STP-H5) mission. The STP-H5 payload containing LIS is scheduled launch from NASA's Kennedy Space Center to the ISS in November 2016, aboard the SpaceX Cargo Resupply Services-10 (SpaceX-10) mission, installed in the unpressurized "trunk" of the Dragon spacecraft. After the Dragon is berth to ISS Node 2, the payload will be removed from the trunk and robotically installed in a nadir-viewing location on the external truss of the ISS. Following installation on the ISS, the LIS Operations Team will work with the STP-H5 and ISS Operations Teams to power-on LIS and begin instrument checkout and commissioning. Following successful activation, LIS orbital operations will commence, managed from the newly established LIS Payload Operations Control Center (POCC) located at the National Space Science Technology Center (NSSTC) in Huntsville, AL. The well-established and robust processing, archival, and distribution infrastructure used for TRMM was easily adapted to the ISS mission, assuring that lightning

  1. NASA Studies Lightning Storms Using High-Flying, Uninhabited Vehicle

    NASA Technical Reports Server (NTRS)

    2002-01-01

    A NASA team studying the causes of electrical storms and their effects on our home planet achieved a milestone on August 21, 2002, completing the study's longest-duration research flight and monitoring four thunderstorms in succession. Based at the Naval Air Station Key West, Florida, researchers with the Altus Cumulus Electrification Study (ACES) used the Altus II remotely-piloted aircraft to study thunderstorms in the Atlantic Ocean off Key West and the west of the Everglades. Using special equipment aboard the Altus II, scientists in ACES will gather electric, magnetic, and optical measurements of the thunderstorms, gauging elements such as lightning activity and the electrical environment in and around the storms. With dual goals of gathering weather data safely and testing the adaptability of the uninhabited aircraft, the ACES study is a collaboration among the Marshall Space Flight Center, the University of Alabama in Huntsville, NASA's Goddard Space Flight Center in Greenbelt, Maryland, Pernsylvania State University in University Park, and General Atomics Aeronautical Systems, Inc.

  2. The 1983 direct strike lightning data, part 1

    NASA Technical Reports Server (NTRS)

    Thomas, Mitchel E.

    1985-01-01

    Data waveforms are presented which were obtained during the 1983 direct strike lightning tests utilizing the NASA F106-B aircraft specially instrumented for lightning electromagnetic measurements. The aircraft was operated in the vicinity of the NASA Langley Research Center, Hampton, Virginia, in a thunderstorm environment to elicit strikes. Electromagnetic field data and conduction currents on the aircraft were recorded for attached lightning. Part 1 contains 435 pages of lightning strike data in chart form.

  3. The 1983 direct strike lightning data, part 2

    NASA Technical Reports Server (NTRS)

    Thomas, Mitchel E.

    1985-01-01

    Data waveforms are presented which were obtained during the 1983 direct strike lightning tests utilizing the NASA F106-B aircraft specially instrumented for lightning electromagnetic measurements. The aircraft was operated in the vicinity of the NASA Langley Research Center, Hampton, Virginia, in a thunderstorm environment to elicit strikes. Electromagnetic field data and conduction currents on the aircraft were recorded for attached lightning. Part 2 contains 443 pages of lightning strike data in chart form.

  4. Pre-Launch Algorithms and Risk Reduction in Support of the Geostationary Lightning Mapper for GOES-R and Beyond

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, R. J.; Koshak, W.; Petersen, W.; Buechler, D. E.; Krehbiel, P. R.; Gatlin, P.; Zubrick, S.

    2008-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR imager/optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch in 2014 will carry a GLM that will provide continuous day and night observations of lightning from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fUlly operational. The mission objectives for the GLM are to 1) provide continuous, full-disk lightning measurements for storm warning and nowcasting, 2) provide early warning of tornadic activity, and 3) accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997-Present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 13 year data record of global lightning activity. Instrument formulation studies were completed in March 2007 and the implementation phase to develop a prototype model and up to four flight models is expected to be underway in the latter part of 2007. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 ground processing algorithms and applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds (e.g., Lightning Mapping Arrays in North Alabama and the Washington DC Metropolitan area)

  5. The Goes-R Geostationary Lightning Mapper (GLM)

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Mach, Douglas

    2011-01-01

    The Geostationary Operational Environmental Satellite (GOES-R) is the next series to follow the existing GOES system currently operating over the Western Hemisphere. Superior spacecraft and instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES capabilities include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), and improved storm diagnostic capability with the Advanced Baseline Imager. The GLM will map total lightning activity (in-cloud and cloud-to-ground lighting flashes) continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms, cal/val performance monitoring tools, and new applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. In this paper we will report on new Nowcasting and storm warning applications being developed and evaluated at various NOAA Testbeds.

  6. An Investigation of the Kinematic and Microphysical Control of Lightning Rate, Extent and NOx Production using DC3 Observations and the NASA Lightning Nitrogen Oxides Model (LNOM)

    NASA Technical Reports Server (NTRS)

    Carey, Lawrence; Koshak, William; Peterson, Harold; Matthee, Retha; Bain, Lamont

    2013-01-01

    The Deep Convective Clouds and Chemistry (DC3) experiment seeks to quantify the relationship between storm physics, lightning characteristics and the production of nitrogen oxides via lightning (LNOx). The focus of this study is to investigate the kinematic and microphysical control of lightning properties, particularly those that may govern LNOx production, such as flash rate, type and extent across Alabama during DC3. Prior studies have demonstrated that lightning flash rate and type is correlated to kinematic and microphysical properties in the mixed-phase region of thunderstorms such as updraft volume and graupel mass. More study is required to generalize these relationships in a wide variety of storm modes and meteorological conditions. Less is known about the co-evolving relationship between storm physics, morphology and three-dimensional flash extent, despite its importance for LNOx production. To address this conceptual gap, the NASA Lightning Nitrogen Oxides Model (LNOM) is applied to North Alabama Lightning Mapping Array (NALMA) and Vaisala National Lightning Detection Network(TM) (NLDN) observations following ordinary convective cells through their lifecycle. LNOM provides estimates of flash rate, flash type, channel length distributions, lightning segment altitude distributions (SADs) and lightning NOx production profiles. For this study, LNOM is applied in a Lagrangian sense to multicell thunderstorms over Northern Alabama on two days during DC3 (21 May and 11 June 2012) in which aircraft observations of NOx are available for comparison. The LNOM lightning characteristics and LNOX production estimates are compared to the evolution of updraft and precipitation properties inferred from dual-Doppler and polarimetric radar analyses applied to observations from a nearby radar network, including the UAH Advanced Radar for Meteorological and Operational Research (ARMOR). Given complex multicell evolution, particular attention is paid to storm morphology, cell

  7. An Investigation of the Kinematic and Microphysical Control of Lightning Rate, Extent and NOX Production using DC3 Observations and the NASA Lightning Nitrogen Oxides Model (LNOM)

    NASA Technical Reports Server (NTRS)

    Carey, Lawrence; Koshak, William; Peterson, Harold; Matthee, Retha; Bain, Lamont

    2013-01-01

    The Deep Convective Clouds and Chemistry (DC3) experiment seeks to quantify the relationship between storm physics, lightning characteristics and the production of nitrogen oxides via lightning (LNOx). The focus of this study is to investigate the kinematic and microphysical control of lightning properties, particularly those that may govern LNOx production, such as flash rate, type and extent across Alabama during DC3. Prior studies have demonstrated that lightning flash rate and type is correlated to kinematic and microphysical properties in the mixed-phase region of thunderstorms such as updraft volume and graupel mass. More study is required to generalize these relationships in a wide variety of storm modes and meteorological conditions. Less is known about the co-evolving relationship between storm physics, morphology and three-dimensional flash extent, despite its importance for LNOx production. To address this conceptual gap, the NASA Lightning Nitrogen Oxides Model (LNOM) is applied to North Alabama Lightning Mapping Array (NALMA) and Vaisala National Lightning Detection NetworkTM (NLDN) observations following ordinary convective cells through their lifecycle. LNOM provides estimates of flash rate, flash type, channel length distributions, lightning segment altitude distributions (SADs) and lightning NOx production profiles. For this study, LNOM is applied in a Lagrangian sense to multicell thunderstorms over Northern Alabama on two days during DC3 (21 May and 11 June 2012) in which aircraft observations of NOx are available for comparison. The LNOM lightning characteristics and LNOX production estimates are compared to the evolution of updraft and precipitation properties inferred from dual-Doppler and polarimetric radar analyses applied to observations from a nearby radar network, including the UAH Advanced Radar for Meteorological and Operational Research (ARMOR). Given complex multicell evolution, particular attention is paid to storm morphology, cell

  8. Lightning Imaging Sensor (LIS) on the International Space Station (ISS): Launch, Installation, Activation, and First Results

    NASA Astrophysics Data System (ADS)

    Blakeslee, R. J.; Christian, H. J., Jr.; Mach, D. M.; Buechler, D. E.; Wharton, N. A.; Stewart, M. F.; Ellett, W. T.; Koshak, W. J.; Walker, T. D.

    2017-12-01

    Over two decades, the NASA Marshall Space Flight Center, the University of Alabama in Huntsville, and their partners developed and demonstrated the effectiveness and value of space-based lightning observations as a remote sensing tool for Earth science research and applications, and, in the process, established a robust global lightning climatology. The Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) provided global observations of tropical lightning for an impressive 17 years before that mission came to a close in April 2015. Now a space-qualified LIS, built as the flight spare for TRMM, has been installed on the International Space Station (ISS) for a minimum two year mission following its SpaceX launch on February 19, 2017. The LIS, flown as a hosted payload on the Department of Defense Space Test Program-Houston 5 (STP-H5) mission, was robotically installed in an Earth-viewing position on the outside of the ISS, providing a great opportunity to not only extend the 17-year TRMM LIS record of tropical lightning measurements but also to expand that coverage to higher latitudes missed by the TRMM mission. Since its activation, LIS has continuously observed the amount, rate, and radiant energy lightning within its field-of-view as it orbits the Earth. A major focus of this mission is to better understand the processes which cause lightning, as well as the connections between lightning and subsequent severe weather events. This understanding is a key to improving weather predictions and saving lives and property here in the United States and around the world. The LIS measurements will also help cross-validate observations from the new Geostationary Lightning Mapper (GLM) operating on NOAA's newest weather satellite GOES-16. An especially unique contribution from the ISS platform will be the availability of real-time lightning data, especially valuable for operational forecasting and warning applications over data sparse regions such

  9. Small negative cloud-to-ground lightning reports at the NASA Kennedy Space Center and Air Force Eastern Range

    NASA Astrophysics Data System (ADS)

    Wilson, Jennifer G.; Cummins, Kenneth L.; Krider, E. Philip

    2009-12-01

    The NASA Kennedy Space Center (KSC) and Air Force Eastern Range (ER) use data from two cloud-to-ground (CG) lightning detection networks, the Cloud-to-Ground Lightning Surveillance System (CGLSS) and the U.S. National Lightning Detection Network™ (NLDN), and a volumetric lightning mapping array, the Lightning Detection and Ranging (LDAR) system, to monitor and characterize lightning that is potentially hazardous to launch or ground operations. Data obtained from these systems during June-August 2006 have been examined to check the classification of small, negative CGLSS reports that have an estimated peak current, ∣Ip∣ less than 7 kA, and to determine the smallest values of Ip that are produced by first strokes, by subsequent strokes that create a new ground contact (NGC), and by subsequent strokes that remain in a preexisting channel (PEC). The results show that within 20 km of the KSC-ER, 21% of the low-amplitude negative CGLSS reports were produced by first strokes, with a minimum Ip of -2.9 kA; 31% were by NGCs, with a minimum Ip of -2.0 kA; and 14% were by PECs, with a minimum Ip of -2.2 kA. The remaining 34% were produced by cloud pulses or lightning events that we were not able to classify.

  10. The GOES-R GeoStationary Lightning Mapper (GLM)

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Mach, Douglas

    2011-01-01

    The Geostationary Operational Environmental Satellite (GOES-R) is the next series to follow the existing GOES system currently operating over the Western Hemisphere. Superior spacecraft and instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES capabilities include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), and improved capability for the Advanced Baseline Imager (ABI). The Geostationary Lighting Mapper (GLM) will map total lightning activity (in-cloud and cloud-to-ground lighting flashes) continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency among a number of potential applications. In parallel with the instrument development (a prototype and 4 flight models), a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms (environmental data records), cal/val performance monitoring tools, and new applications using GLM alone, in combination with the ABI, merged with ground-based sensors, and decision aids augmented by numerical weather prediction model forecasts. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. An international field campaign planned for 2011-2012 will produce concurrent observations from a VHF lightning mapping array, Meteosat multi-band imagery, Tropical Rainfall Measuring Mission (TRMM) Lightning

  11. NASA thunderstorm overflight program: Atmospheric electricity research. An overview report on the optical lightning detection experiment for spring and summer 1983

    NASA Technical Reports Server (NTRS)

    Vaughan, O. H., Jr.

    1984-01-01

    This report presents an overview of the NASA Thunderstorm Overflight Program (TOP)/Optical Lightning Experiment (OLDE) being conducted by the Marshall Space Flight Center and university researchers in atmospheric electricity. Discussed in this report are the various instruments flown on the NASA U-2 aircraft, as well as the ground instrumentation used in 1983 to collect optical and electronic signatures from the lightning events. Samples of some of the photographic and electronic signatures are presented. Approximately 4132 electronic data samples of optical pulses were collected and are being analyzed by the NASA and university researchers. A number of research reports are being prepared for future publication. These reports will provide more detailed data analysis and results from the 1983 spring and summer program.

  12. Lightning-Generated NO(x) Seen By OMI during NASA's TC-4 Experiment: First Results

    NASA Technical Reports Server (NTRS)

    Bucsela, Eric; Pickering, Kenneth E.; Huntemann, Tabitha; Cohen, Ronald; Perring, Anne; Gleason, James; Blakeslee, Richard; Navarro, Dylana Vargas; Segura, Ileana Mora; Hernandez, Alexia Pacheco; hide

    2009-01-01

    We present here case studies identifying upper-tropospheric NO2 produced in convective storms during NASA's Tropical Composition, Cloud and Climate Coupling Experiment (TCi)n July and August 2007. DC8 aircraft missions, flown from the mission base in Costa Rica, recorded in situ NO2 profiles near active storms and in relatively quiet areas. We combine these data with measurements from the Ozone Monitoring Instrument (OMI) on the Aura satellite to estimate the amount of NO2 produced by lightning (LN02) above background levels in the regions influenced by storms. In our analysis, improved off-line processing techniques are employed to minimize known artifacts in the OM1 data. Information on lightning flashes (primarily CG) observed by the surface network operated by the Instituto Costarricense de Electricidad are examined upwind of regions where OM1 indicates enhanced LNO2. Comparisons of the observed flash data with measurements by the TRMM/LIS satellite instrument are used to obtain the lightning detection efficiency for total flashes. Finally, using the NO/NO2 ratio estimated from DC-8 observations, we estimate the average NO(x) production per lightning flash for each case in this study. The magnitudes of the measured NO(x) enhancements are compared with those observed by the DC-8 and with similar OM1 measurements analyzed in mid-latitude experiments.

  13. Using Satellite Lightning Data as a Hands-On Activity for a Broad Audience

    NASA Astrophysics Data System (ADS)

    Sinclair, L.; Smith, T.; Smith, D. K.; Weigel, A. M.; Bugbee, K.; Leach, C.

    2017-12-01

    Satellite lightning data archived at the NASA Global Hydrology Resource Center Distributed Active Archive Center (GHRC DAAC) captures the number of lightning flashes occurring within four by four kilometer pixels around the world from January 1998 through October 2014. These data were measured by the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite. As an outreach effort to educate other on the use lightning measurements, the GHRC DAAC developed an interactive color-by-number poster showing accumulated lightning flashes around the world. As participants color the poster it reveals regions of maximum lightning flash counts across the Earth, including Lake Maracaibo in Catatumbo, Venezuela and a region in Congo, Africa. This hands-on activity is a bright, colorful, and inviting way to bring lightning data to a broad audience and can be used for people of many ages, including elementary-aged audiences up to adults.

  14. NASA/NOAA's Suomi NPP Satellite's Night-time View of Cyclone Evan

    NASA Image and Video Library

    2012-12-20

    This night-time view of Cyclone Evan was taken from the Visible Infrared Imaging Radiometer Suite (VIIRS) on NASA/NOAA's Suomi National Polar-orbiting Partnership on Dec. 16, 2012. The rectangular bright object in the image is a lightning flash. "Because of the scan time as compared to how quickly lightning flashes, you get a nice streak in the data," said William Straka, of the University of Wisconsin-Madison, who provided this image. On Dec. 17 at 0900 UTC (4 a.m. EST), Cyclone Evan had maximum sustained winds near 115 knots (132 mph/213 kph). Evan was a Category 4 cyclone on the Saffir-Simpson Scale and was battering Fiji. Image Credit: NASA/NOAA/UWM/William Straka Text Credit: NASA Goddard/Rob Gutro 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. Lightning electric field measurements which correlate with strikes to the NASA F-106B aircraft, 22 July 1980

    NASA Technical Reports Server (NTRS)

    Levine, D. M.

    1981-01-01

    Ground-based data collected on lightning monitoring equipment operated by Goddard Space Flight Center at Wallops Island, Virginia, during a storm being monitored by NASA's F-106B, are presented. The slow electric field change data and RF radiation data were collected at the times the lightning monitoring equipment on the aircraft was triggered. The timing of the ground-based events correlate well with events recorded on the aircraft and provide an indication of the type of flash with which the aircraft was involved.

  16. Effects of lightning on operations of aerospace vehicles

    NASA Technical Reports Server (NTRS)

    Fisher, Bruce D.

    1989-01-01

    Traditionally, aircraft lightning strikes were a major aviation safety issue. However, the increasing use of composite materials and the use of digital avionics for flight critical systems will require that more specific lightning protection measures be incorporated in the design of such aircraft in order to maintain the excellent lightning safety record presently enjoyed by transport aircraft. In addition, several recent lightning mishaps, most notably the loss of the Atlas/Centaur-67 vehicle at Cape Canaveral Air Force Station, Florida in March 1987, have shown the susceptibility of aircraft and launch vehicles to the phenomenon of vehicle-triggered lightning. The recent findings of the NASA Storm Hazards Program were reviewed as they pertain to the atmospheric conditions conducive to aircraft lightning strikes. These data are then compared to recent summaries of lightning strikes to operational aircraft fleets. Finally, the new launch commit criteria for triggered lightning being used by NASA and the U.S. Defense Department are summarized. The NASA Research data show that the greatest probability of a direct strike in a thunderstorm occurs at ambient temperatures of about -40 C. Relative precipitation and turbulence levels were characterized as negligible to light for these conditions. However, operational fleet data have shown that most aircraft lightning strikes in routine operations occur at temperatures near the freezing level in non-cumulonimbus clouds. The non-thunderstorm environment was not the subject of dedicated airborne lightning research.

  17. The 1984 direct strike lightning data, part 3

    NASA Technical Reports Server (NTRS)

    Thomas, Mitchel E.; Carney, Harold K.

    1986-01-01

    Data waveforms are presented which were obtained during the 1984 direct-strike lightning tests utilizing the NASA F106-B aircraft specially instrumented for lightning electromagnetic measurements. The aircraft was operated in the vicinity of the NASA Langley Research Center, Hampton, Virginia, in a thunderstorm environment to elicit strikes. Electromagnetic field data and conduction currents on the aircraft were recorded for attached lightning. This is part 3, consisting entirely of charts and graphs.

  18. Lightning Characteristics and Lightning Strike Peak Current Probabilities as Related to Aerospace Vehicle Operations

    NASA Technical Reports Server (NTRS)

    Johnson, Dale L.; Vaughan, William W.

    1998-01-01

    A summary is presented of basic lightning characteristics/criteria for current and future NASA aerospace vehicles. The paper estimates the probability of occurrence of a 200 kA peak lightning return current, should lightning strike an aerospace vehicle in various operational phases, i.e., roll-out, on-pad, launch, reenter/land, and return-to-launch site. A literature search was conducted for previous work concerning occurrence and measurement of peak lighting currents, modeling, and estimating probabilities of launch vehicles/objects being struck by lightning. This paper presents these results.

  19. Lightning attachment patterns and flight conditions experienced by the NASA F-106B airplane from 1980 to 1983

    NASA Technical Reports Server (NTRS)

    Fisher, B. D.; Plumer, J. A.

    1984-01-01

    The direct lightning strike data and associated flight conditions recorded from 1980 to 1983 during 742 thunderstorm penetrations with a NASA F-106B in Oklahoma and Virginia are studied with an emphasis on aircraft protection design. The individual lightning attachment spots were plotted on isometric projections of the aircraft to identify lightning entry and exit points and swept flash patterns. The altitudes, ambient temperatures, turbulence, and precipitation at which the strikes occurred are summarized and discussed. It was noted that peak strike rates (0.81 strikes/min and 3 strikes/penetration) occurred at altitudes between 11 km and 11.6 km corresponding to ambient temperatures between -40 C and -45 C. The data confirmed that initial entry and exit points most frequently occur at aircraft extremities, in this case the nose boom, the wing tips, the vertical fin cap, and the afterburner. The swept-flash attachment paths and burn marks found in this program indicate that the mid-span areas of swept aircraft may be more susceptible to lightning than previously thought. It was also found that lightning strikes may attach to spots within the engine tail pipe.

  20. The Goes-R Geostationary Lightning Mapper (GLM): Algorithm and Instrument Status

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Mach, Douglas

    2010-01-01

    The Geostationary Operational Environmental Satellite (GOES-R) is the next series to follow the existing GOES system currently operating over the Western Hemisphere. Superior spacecraft and instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES capabilities include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), and improved capability for the Advanced Baseline Imager (ABI). The Geostationary Lighting Mapper (GLM) will map total lightning activity (in-cloud and cloud-to-ground lighting flashes) continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. In parallel with the instrument development (a prototype and 4 flight models), a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms, cal/val performance monitoring tools, and new applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. A joint field campaign with Brazilian researchers in 2010-2011 will produce concurrent observations from a VHF lightning mapping array, Meteosat multi-band imagery, Tropical Rainfall Measuring Mission (TRMM) Lightning Imaging Sensor (LIS) overpasses, and related ground and in-situ lightning and meteorological measurements in the vicinity of Sao Paulo. These data will provide a new comprehensive proxy data set for algorithm and

  1. Lightning Imaging Sensor (LIS) for the Earth Observing System

    NASA Technical Reports Server (NTRS)

    Christian, Hugh J.; Blakeslee, Richard J.; Goodman, Steven J.

    1992-01-01

    Not only are scientific objectives and instrument characteristics given of a calibrated optical LIS for the EOS but also for the Tropical Rainfall Measuring Mission (TRMM) which was designed to acquire and study the distribution and variability of total lightning on a global basis. The LIS can be traced to a lightning mapper sensor planned for flight on the GOES meteorological satellites. The LIS consists of a staring imager optimized to detect and locate lightning. The LIS will detect and locate lightning with storm scale resolution (i.e., 5 to 10 km) over a large region of the Earth's surface along the orbital track of the satellite, mark the time of occurrence of the lightning, and measure the radiant energy. The LIS will have a nearly uniform 90 pct. detection efficiency within the area viewed by the sensor, and will detect intracloud and cloud-to-ground discharges during day and night conditions. Also, the LIS will monitor individual storms and storm systems long enough to obtain a measure of the lightning flashing rate when they are within the field of view of the LIS. The LIS attributes include low cost, low weight and power, low data rate, and important science. The LIS will study the hydrological cycle, general circulation and sea surface temperature variations, along with examinations of the electrical coupling of thunderstorms with the ionosphere and magnetosphere, and observations and modeling of the global electric circuit.

  2. ALDF Data Retrieval Algorithms for Validating the Optical Transient Detector (OTD) and the Lightning Imaging Sensor (LIS)

    NASA Technical Reports Server (NTRS)

    Koshak, W. J.; Blakeslee, R. J.; Bailey, J. C.

    1997-01-01

    A linear algebraic solution is provided for the problem of retrieving the location and time of occurrence of lightning ground strikes from in Advanced Lightning Direction Finder (ALDF) network. The ALDF network measures field strength, magnetic bearing, and arrival time of lightning radio emissions and solutions for the plane (i.e.. no Earth curvature) are provided that implement all of these measurements. The accuracy of the retrieval method is tested using computer-simulated data sets and the relative influence of bearing and arrival time data on the outcome of the final solution is formally demonstrated. The algorithm is sufficiently accurate to validate NASA's Optical Transient Detector (OTD) and Lightning Imaging System (LIS). We also introduce a quadratic planar solution that is useful when only three arrival time measurements are available. The algebra of the quadratic root results are examined in detail to clarify what portions of the analysis region lead to fundamental ambiguities in source location. Complex root results are shown to be associated with the presence of measurement errors when the lightning source lies near an outer sensor baseline of the ALDF network. For arbitrary noncollinear network geometries and in the absence of measurement errors, it is shown that the two quadratic roots are equivalent (no source location ambiguity) on the outer sensor baselines. The accuracy of the quadratic planar method is tested with computer-generated data sets and the results are generally better than those obtained from the three station linear planar method when bearing errors are about 2 degrees.

  3. Diurnal Lightning Distributions as Observed by the Optical Transient Detector (OTD) and the Lightning Imaging Sensor (LIS)

    NASA Technical Reports Server (NTRS)

    Bailey, Jeff C.; Blakeslee, Richard J.; Buechler, Dennis E.; Christian, Hugh J.

    2007-01-01

    Data obtained from the Optical Transient Detector (April 1995 to March 2000) and the Lightning Imaging Sensor (December 1997 to December 2005) satellites (70 and 35 inclination low earth orbits, respectively) are used to statistically determine the number of flashes in the annual and seasonal diurnal cycle as a function of local and universal time. The data are further subdivided by season, land versus ocean, northern versus southern hemisphere, and other spatial (e.g., continents) and temporal (e.g., time of peak diurnal amplitude) categories. The data include corrections for detection efficiency and instrument view time. Continental results display strong diurnal variation, with a lightning peak in the late afternoon and a minimum in late morning. In regions of the world dominated by large mesoscale convective systems the peak in the diurnal curve shifts toward late evening or early morning hours. The maximum diurnal flash rate occurs in June-August, corresponding to the Northern Hemisphere summer, while the minimum occurs in December-February. Summer lightning dominates over winter activity and springtime lightning dominates over autumn activity at most continental locations. This latter behavior occurs especially strongly over the Amazon region in South America in September-November. Oceanic lightning activity in winter and autumn tends to exceed that in summer and spring. Global lightning is well correlated in phase but not in amplitude with the Carnegie curve. The diurnal flash rate varies about 4-35 percent about the mean, while the Carnegie curve varies around 4-15 percent.

  4. Optical design of the lightning imager for MTG

    NASA Astrophysics Data System (ADS)

    Lorenzini, S.; Bardazzi, R.; Di Giampietro, M.; Feresin, F.; Taccola, M.; Cuevas, L. P.

    2017-11-01

    The Lightning Imager for Meteosat Third Generation is an optical payload with on-board data processing for the detection of lightning. The instrument will provide a global monitoring of lightning events over the full Earth disk from geostationary orbit and will operate in day and night conditions. The requirements of the large field of view together with the high detection efficiency with small and weak optical pulses superimposed to a much brighter and highly spatial and temporal variable background (full operation during day and night conditions, seasonal variations and different albedos between clouds oceans and lands) are driving the design of the optical instrument. The main challenge is to distinguish a true lightning from false events generated by random noise (e.g. background shot noise) or sun glints diffusion or signal variations originated by microvibrations. This can be achieved thanks to a `multi-dimensional' filtering, simultaneously working on the spectral, spatial and temporal domains. The spectral filtering is achieved with a very narrowband filter centred on the bright lightning O2 triplet line (777.4 nm +/- 0.17 nm). The spatial filtering is achieved with a ground sampling distance significantly smaller (between 4 and 5 km at sub satellite pointing) than the dimensions of a typical lightning pulse. The temporal filtering is achieved by sampling continuously the Earth disk within a period close to 1 ms. This paper presents the status of the optical design addressing the trade-off between different configurations and detailing the design and the analyses of the current baseline. Emphasis is given to the discussion of the design drivers and the solutions implemented in particular concerning the spectral filtering and the optimisation of the signal to noise ratio.

  5. Linear and nonlinear interpretation of the direct strike lightning response of the NASA F106B thunderstorm research aircraft

    NASA Technical Reports Server (NTRS)

    Rudolph, T. H.; Perala, R. A.

    1983-01-01

    The objective of the work reported here is to develop a methodology by which electromagnetic measurements of inflight lightning strike data can be understood and extended to other aircraft. A linear and time invariant approach based on a combination of Fourier transform and three dimensional finite difference techniques is demonstrated. This approach can obtain the lightning channel current in the absence of the aircraft for given channel characteristic impedance and resistive loading. The model is applied to several measurements from the NASA F106B lightning research program. A non-linear three dimensional finite difference code has also been developed to study the response of the F106B to a lightning leader attachment. This model includes three species air chemistry and fluid continuity equations and can incorporate an experimentally based streamer formulation. Calculated responses are presented for various attachment locations and leader parameters. The results are compared qualitatively with measured inflight data.

  6. The GOES-R Geostationary Lightning Mapper (GLM)

    NASA Astrophysics Data System (ADS)

    Goodman, S. J.; Blakeslee, R. J.; Koshak, W. J.; Mach, D. M.; Bailey, J. C.; Buechler, D. E.; Carey, L. D.; Schultz, C. J.; Bateman, M. G.; McCaul, E., Jr.; Stano, G. T.

    2012-12-01

    The Geostationary Operational Environmental Satellite (GOES-R) series provides the continuity for the existing GOES system currently operating over the Western Hemisphere. New and improved instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), and improved temporal, spatial, and spectral resolution for the next generation Advanced Baseline Imager (ABI). The GLM will map total lightning activity (in-cloud and cloud-to-ground lightning flashes) continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency among a number of potential applications. In parallel with the instrument development, an Algorithm Working Group (AWG) Lightning Detection Science and Applications Team developed the Level 2 (stroke and flash) algorithms from the Level 1 lightning event (pixel level) data. Proxy data sets used to develop the GLM operational algorithms as well as cal/val performance monitoring tools were derived from the NASA Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) instruments in low earth orbit, and from ground-based lightning networks and intensive pre-launch field campaigns. GLM will produce the same or similar lightning flash attributes provided by the LIS and OTD, and thus extends their combined climatology over the western hemisphere into the coming decades. Science and application development along with pre-operational product demonstrations and evaluations at NWS forecast offices and NOAA testbeds will prepare the forecasters to use GLM as soon as possible after

  7. Preliminary Design of a Lightning Optical Camera and ThundEr (LOCATE) Sensor

    NASA Technical Reports Server (NTRS)

    Phanord, Dieudonne D.; Koshak, William J.; Rybski, Paul M.; Arnold, James E. (Technical Monitor)

    2001-01-01

    The preliminary design of an optical/acoustical instrument is described for making highly accurate real-time determinations of the location of cloud-to-ground (CG) lightning. The instrument, named the Lightning Optical Camera And ThundEr (LOCATE) sensor, will also image the clear and cloud-obscured lightning channel produced from CGs and cloud flashes, and will record the transient optical waveforms produced from these discharges. The LOCATE sensor will consist of a full (360 degrees) field-of-view optical camera for obtaining CG channel image and azimuth, a sensitive thunder microphone for obtaining CG range, and a fast photodiode system for time-resolving the lightning optical waveform. The optical waveform data will be used to discriminate CGs from cloud flashes. Together, the optical azimuth and thunder range is used to locate CGs and it is anticipated that a network of LOCATE sensors would determine CG source location to well within 100 meters. All of this would be accomplished for a relatively inexpensive cost compared to present RF lightning location technologies, but of course the range detection is limited and will be quantified in the future. The LOCATE sensor technology would have practical applications for electric power utility companies, government (e.g. NASA Kennedy Space Center lightning safety and warning), golf resort lightning safety, telecommunications, and other industries.

  8. NASA Studies Lightning Storms Using High-Flying, Uninhabited Vehicle

    NASA Technical Reports Server (NTRS)

    2002-01-01

    A NASA team studying the causes of electrical storms and their effects on our home planet achieved a milestone on August 21, 2002, completing the study's longest-duration research flight and monitoring four thunderstorms in succession. Based at the Naval Air Station Key West, Florida, researchers with the Altus Cumulus Electrification Study (ACES) used the Altus II remotely-piloted aircraft to study thunderstorms in the Atlantic Ocean off Key West and the west of the Everglades. The ACES lightning study used the Altus II twin turbo uninhabited aerial vehicle, built by General Atomics Aeronautical Systems, Inc. of San Diego. The Altus II was chosen for its slow flight speed of 75 to 100 knots (80 to 115 mph), long endurance, and high-altitude flight (up to 65,000 feet). These qualities gave the Altus II the ability to fly near and around thunderstorms for long periods of time, allowing investigations to be to be conducted over the entire life cycle of storms. The vehicle has a wing span of 55 feet and a payload capacity of over 300 lbs. With dual goals of gathering weather data safely and testing the adaptability of the uninhabited aircraft, the ACES study is a collaboration among the Marshall Space Flight Center, the University of Alabama in Huntsville, NASA,s Goddard Space Flight Center in Greenbelt, Maryland, Pernsylvania State University in University Park, and General Atomics Aeronautical Systems, Inc.

  9. Lightning mapper sensor design study

    NASA Technical Reports Server (NTRS)

    Eaton, L. R.; Poon, C. W.; Shelton, J. C.; Laverty, N. P.; Cook, R. D.

    1983-01-01

    World-wide continuous measurement of lightning location, intensity, and time during both day and night is to be provided by the Lightning Mapper (LITMAP) instrument. A technology assessment to determine if the LITMAP requirements can be met using existing sensor and electronic technologies is presented. The baseline concept discussed in this report is a compromise among a number of opposing requirements (e.g., ground resolution versus array size; large field of view versus narrow bandpass filter). The concept provides coverage for more than 80 percent of the lightning events as based on recent above-cloud NASA/U2 lightning measurements.

  10. Oregon Wildfire in Eclipse Zone Imaged by NASA Satellite

    NASA Image and Video Library

    2017-08-21

    The Whitewater Fire in the Mount Jefferson Wilderness in Oregon was started by a lightning strike. As of Aug. 18, 2017, more than 117,000 acres and 30 miles (48 kilometers) of the Pacific Crest Trail are closed to the public in an area that had been expected to be popular with people there to view the August 21 solar eclipse. The smoke clouds sit over the burned area, just west-northwest of Mount Jefferson. The image was acquired Aug. 18, 2017, covers an area of 16 by 17 miles (26.1 by 27.2 kilometers), and is located at 44.7 degrees north, 121.8 degrees west. https://photojournal.jpl.nasa.gov/catalog/PIA21877

  11. Rationales for the Lightning Launch Commit Criteria

    NASA Technical Reports Server (NTRS)

    Willett, John C. (Editor); Merceret, Francis J. (Editor); Krider, E. Philip; O'Brien, T. Paul; Dye, James E.; Walterscheid, Richard L.; Stolzenburg, Maribeth; Cummins, Kenneth; Christian, Hugh J.; Madura, John T.

    2016-01-01

    Since natural and triggered lightning are demonstrated hazards to launch vehicles, payloads, and spacecraft, NASA and the Department of Defense (DoD) follow the Lightning Launch Commit Criteria (LLCC) for launches from Federal Ranges. The LLCC were developed to prevent future instances of a rocket intercepting natural lightning or triggering a lightning flash during launch from a Federal Range. NASA and DoD utilize the Lightning Advisory Panel (LAP) to establish and develop robust rationale from which the criteria originate. The rationale document also contains appendices that provide additional scientific background, including detailed descriptions of the theory and observations behind the rationales. The LLCC in whole or part are used across the globe due to the rigor of the documented criteria and associated rationale. The Federal Aviation Administration (FAA) adopted the LLCC in 2006 for commercial space transportation and the criteria were codified in the FAA's Code of Federal Regulations (CFR) for Safety of an Expendable Launch Vehicle (Appendix G to 14 CFR Part 417, (G417)) and renamed Lightning Flight Commit Criteria in G417.

  12. A Lightning Channel Retrieval Algorithm for the North Alabama Lightning Mapping Array (LMA)

    NASA Technical Reports Server (NTRS)

    Koshak, William; Arnold, James E. (Technical Monitor)

    2002-01-01

    A new multi-station VHF time-of-arrival (TOA) antenna network is, at the time of this writing, coming on-line in Northern Alabama. The network, called the Lightning Mapping Array (LMA), employs GPS timing and detects VHF radiation from discrete segments (effectively point emitters) that comprise the channel of lightning strokes within cloud and ground flashes. The network will support on-going ground validation activities of the low Earth orbiting Lightning Imaging Sensor (LIS) satellite developed at NASA Marshall Space Flight Center (MSFC) in Huntsville, Alabama. It will also provide for many interesting and detailed studies of the distribution and evolution of thunderstorms and lightning in the Tennessee Valley, and will offer many interesting comparisons with other meteorological/geophysical wets associated with lightning and thunderstorms. In order to take full advantage of these benefits, it is essential that the LMA channel mapping accuracy (in both space and time) be fully characterized and optimized. In this study, a new revised channel mapping retrieval algorithm is introduced. The algorithm is an extension of earlier work provided in Koshak and Solakiewicz (1996) in the analysis of the NASA Kennedy Space Center (KSC) Lightning Detection and Ranging (LDAR) system. As in the 1996 study, direct algebraic solutions are obtained by inverting a simple linear system of equations, thereby making computer searches through a multi-dimensional parameter domain of a Chi-Squared function unnecessary. However, the new algorithm is developed completely in spherical Earth-centered coordinates (longitude, latitude, altitude), rather than in the (x, y, z) cartesian coordinates employed in the 1996 study. Hence, no mathematical transformations from (x, y, z) into spherical coordinates are required (such transformations involve more numerical error propagation, more computer program coding, and slightly more CPU computing time). The new algorithm also has a more realistic

  13. The start of lightning: Evidence of bidirectional lightning initiation.

    PubMed

    Montanyà, Joan; van der Velde, Oscar; Williams, Earle R

    2015-10-16

    Lightning flashes are known to initiate in regions of strong electric fields inside thunderstorms, between layers of positively and negatively charged precipitation particles. For that reason, lightning inception is typically hidden from sight of camera systems used in research. Other technology such as lightning mapping systems based on radio waves can typically detect only some aspects of the lightning initiation process and subsequent development of positive and negative leaders. We report here a serendipitous recording of bidirectional lightning initiation in virgin air under the cloud base at ~11,000 images per second, and the differences in characteristics of opposite polarity leader sections during the earliest stages of the discharge. This case reveals natural lightning initiation, propagation and a return stroke as in negative cloud-to-ground flashes, upon connection to another lightning channel - without any masking by cloud.

  14. Global Lightning Climatology from the Tropical Rainfall Measuring Mission (TRMM), Lightning Imaging Sensor (LIS) and the Optical Transient Detector (OTD)

    NASA Technical Reports Server (NTRS)

    Cecil, Daniel J.; Buechler, Dennis E.; Blakeslee, Richard J.

    2015-01-01

    The Tropical Rainfall Measuring Mission (TRMM) Lightning Imaging Sensor (LIS) has been collecting observations of total lightning in the global tropics and subtropics (roughly 38 deg S - 38 deg N) since December 1997. A similar instrument, the Optical Transient Detector, operated from 1995-2000 on another low earth orbit satellite that also saw high latitudes. Lightning data from these instruments have been used to create gridded climatologies and time series of lightning flash rate. These include a 0.5 deg resolution global annual climatology, and lower resolution products describing the annual cycle and the diurnal cycle. These products are updated annually. Results from the update through 2013 will be shown at the conference. The gridded products are publicly available for download. Descriptions of how each product can be used will be discussed, including strengths, weaknesses, and caveats about the smoothing and sampling used in various products.

  15. Estimates of the Lightning NOx Profile in the Vicinity of the North Alabama Lightning Mapping Array

    NASA Technical Reports Server (NTRS)

    Koshak, William J.; Peterson, Harold S.; McCaul, Eugene W.; Blazar, Arastoo

    2010-01-01

    The NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) is applied to August 2006 North Alabama Lightning Mapping Array (NALMA) data to estimate the (unmixed and otherwise environmentally unmodified) vertical source profile of lightning nitrogen oxides, NOx = NO + NO2. Data from the National Lightning Detection Network (Trademark) (NLDN) is also employed. This is part of a larger effort aimed at building a more realistic lightning NOx emissions inventory for use by the U.S. Environmental Protection Agency (EPA) Community Multiscale Air Quality (CMAQ) modeling system. Overall, special attention is given to several important lightning variables including: the frequency and geographical distribution of lightning in the vicinity of the NALMA network, lightning type (ground or cloud flash), lightning channel length, channel altitude, channel peak current, and the number of strokes per flash. Laboratory spark chamber results from the literature are used to convert 1-meter channel segments (that are located at a particular known altitude; i.e., air density) to NOx concentration. The resulting lightning NOx source profiles are discussed.

  16. Lightning Tracking Tool for Assessment of Total Cloud Lightning within AWIPS II

    NASA Technical Reports Server (NTRS)

    Burks, Jason E.; Stano, Geoffrey T.; Sperow, Ken

    2014-01-01

    Total lightning (intra-cloud and cloud-to-ground) has been widely researched and shown to be a valuable tool to aid real-time warning forecasters in the assessment of severe weather potential of convective storms. The trend of total lightning has been related to the strength of a storm's updraft. Therefore a rapid increase in total lightning signifies the strengthening of the parent thunderstorm. The assessment of severe weather potential occurs in a time limited environment and therefore constrains the use of total lightning. A tool has been developed at NASA's Short-term Prediction Research and Transition (SPoRT) Center to assist in quickly analyzing the total lightning signature of multiple storms. The development of this tool comes as a direct result of forecaster feedback from numerous assessments requesting a real-time display of the time series of total lightning. This tool also takes advantage of the new architecture available within the AWIPS II environment. SPoRT's lightning tracking tool has been tested in the Hazardous Weather Testbed (HWT) Spring Program and significant changes have been made based on the feedback. In addition to the updates in response to the HWT assessment, the lightning tracking tool may also be extended to incorporate other requested displays, such as the intra-cloud to cloud-to-ground ratio as well as incorporate the lightning jump algorithm.

  17. Pre-Launch Algorithms and Risk Reduction in Support of the Geostationary Lightning Mapper for GOES-R and Beyond

    NASA Technical Reports Server (NTRS)

    Goodman, Steven; Blakeslee, Richard; Koshak, William

    2008-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch in 2014 will carry a GLM that will provide continuous day and night observations of lightning from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fully operational. The mission objectives for the GLM are to 1) provide continuous,full-disk lightning measurements for storm warning and Nowcasting, 2) provide early warning of tornado activity, and 3) accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997-Present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 13 year data record of global lightning activity. Instrument formulation studies were completed in March 2007 and the implementation phase to develop a prototype model and up to four flight units is expected to begin in latter part of the year. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2B algorithms and applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional test beds (e.g., Lightning Mapping Arrays in North Alabama and the Washington DC Metropolitan area) are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. Real time lightning mapping data provided to selected National Weather Service forecast offices in Southern and Eastern Region are also improving

  18. Image navigation and registration for the geostationary lightning mapper (GLM)

    NASA Astrophysics Data System (ADS)

    van Bezooijen, Roel W. H.; Demroff, Howard; Burton, Gregory; Chu, Donald; Yang, Shu S.

    2016-10-01

    The Geostationary Lightning Mappers (GLM) for the Geostationary Operational Environmental Satellite (GOES) GOES-R series will, for the first time, provide hemispherical lightning information 24 hours a day from longitudes of 75 and 137 degrees west. The first GLM of a series of four is planned for launch in November, 2016. Observation of lightning patterns by GLM holds promise to improve tornado warning lead times to greater than 20 minutes while halving the present false alarm rates. In addition, GLM will improve airline traffic flow management, and provide climatology data allowing us to understand the Earth's evolving climate. The paper describes the method used for translating the pixel position of a lightning event to its corresponding geodetic longitude and latitude, using the J2000 attitude of the GLM mount frame reported by the spacecraft, the position of the spacecraft, and the alignment of the GLM coordinate frame relative to its mount frame. Because the latter alignment will experience seasonal variation, this alignment is determined daily using GLM background images collected over the previous 7 days. The process involves identification of coastlines in the background images and determination of the alignment change necessary to match the detected coastline with the coastline predicted using the GSHHS database. Registration is achieved using a variation of the Lucas-Kanade algorithm where we added a dither and average technique to improve performance significantly. An innovative water mask technique was conceived to enable self-contained detection of clear coastline sections usable for registration. Extensive simulations using accurate visible images from GOES13 and GOES15 have been used to demonstrate the performance of the coastline registration method, the results of which are presented in the paper.

  19. Estimates of the Lightning NOx Profile in the Vicinity of the North Alabama Lightning Mapping Array

    NASA Technical Reports Server (NTRS)

    Koshak, William J.; Peterson, Harold

    2010-01-01

    The NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) is applied to August 2006 North Alabama Lightning Mapping Array (LMA) data to estimate the raw (i.e., unmixed and otherwise environmentally unmodified) vertical profile of lightning nitrogen oxides, NOx = NO + NO 2 . This is part of a larger effort aimed at building a more realistic lightning NOx emissions inventory for use by the U.S. Environmental Protection Agency (EPA) Community Multiscale Air Quality (CMAQ) modeling system. Data from the National Lightning Detection Network TM (NLDN) is also employed. Overall, special attention is given to several important lightning variables including: the frequency and geographical distribution of lightning in the vicinity of the LMA network, lightning type (ground or cloud flash), lightning channel length, channel altitude, channel peak current, and the number of strokes per flash. Laboratory spark chamber results from the literature are used to convert 1-meter channel segments (that are located at a particular known altitude; i.e., air density) to NOx concentration. The resulting raw NOx profiles are discussed.

  20. NASA Shuttle Lightning Research: Observations of Nocturnal Thunderstorms and Lightning Displays as Seen During Recent Space Shuttle Missions

    NASA Technical Reports Server (NTRS)

    Vaughan, Otha H., Jr.

    1994-01-01

    A number of interesting lightning events have been observed using the low light level TV camera of the space shuttle during nighttime observations of thunderstorms near the limb of the Earth. Some of the vertical type lightning events that have been observed will be presented. Using TV cameras for observing lightning near the Earth's limb allows one to determine the location of the lightning and other characteristics by using the star field data and the shuttle's orbital position to reconstruct the geometry of the scene being viewed by the shuttle's TV cameras which are located in the payload bay of the shuttle.

  1. The GOES-R Geostationary Lightning Mapper (GLM)

    NASA Astrophysics Data System (ADS)

    Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Mach, Douglas; Bailey, Jeffrey; Buechler, Dennis; Carey, Larry; Schultz, Chris; Bateman, Monte; McCaul, Eugene; Stano, Geoffrey

    2013-05-01

    The Geostationary Operational Environmental Satellite R-series (GOES-R) is the next block of four satellites to follow the existing GOES constellation currently operating over the Western Hemisphere. Advanced spacecraft and instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES capabilities include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), and improved cloud and moisture imagery with the 16-channel Advanced Baseline Imager (ABI). The GLM will map total lightning activity continuously day and night with near-uniform storm-scale spatial resolution of 8 km with a product refresh rate of less than 20 s over the Americas and adjacent oceanic regions in the western hemisphere. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. In parallel with the instrument development, an Algorithm Working Group (AWG) Lightning Detection Science and Applications Team developed the Level 2 (stroke and flash) algorithms from the Level 1 lightning event (pixel level) data. Proxy data sets used to develop the GLM operational algorithms as well as cal/val performance monitoring tools were derived from the NASA Lightning Imaging Sensor (LIS) and Optical Transient Detector (OTD) instruments in low Earth orbit, and from ground-based lightning networks and intensive prelaunch field campaigns. The GLM will produce the same or similar lightning flash attributes provided by the LIS and OTD, and thus extend their combined climatology over the western hemisphere into the coming decades. Science and application development along with preoperational product demonstrations and evaluations at NWS forecast offices and NOAA testbeds will prepare the forecasters to use GLM as soon as possible after the planned launch and

  2. Camp Blanding Lightning Mapping Array

    NASA Technical Reports Server (NTRS)

    Blakeslee,Richard; Christian, Hugh; Bailey, Jeffrey; Hall, John; Uman, Martin; Jordan, Doug; Krehbiel, Paul; Rison, William; Edens, Harald

    2011-01-01

    A seven station, short base-line Lightning Mapping Array was installed at the Camp Blanding International Center for Lightning Research and Testing (ICLRT) during April 2011. This network will support science investigations of Terrestrial Gamma-Ray Flashes (TGFs) and lightning initiation using rocket triggered lightning at the ICLRT. The network operations and data processing will be carried out through a close collaboration between several organizations, including the NASA Marshall Space Flight Center, University of Alabama in Huntsville, University of Florida, and New Mexico Tech. The deployment was sponsored by the Defense Advanced Research Projects Agency (DARPA). The network does not have real-time data dissemination. Description, status and plans will be discussed.

  3. Multivariate Statistical Inference of Lightning Occurrence, and Using Lightning Observations

    NASA Technical Reports Server (NTRS)

    Boccippio, Dennis

    2004-01-01

    Two classes of multivariate statistical inference using TRMM Lightning Imaging Sensor, Precipitation Radar, and Microwave Imager observation are studied, using nonlinear classification neural networks as inferential tools. The very large and globally representative data sample provided by TRMM allows both training and validation (without overfitting) of neural networks with many degrees of freedom. In the first study, the flashing / or flashing condition of storm complexes is diagnosed using radar, passive microwave and/or environmental observations as neural network inputs. The diagnostic skill of these simple lightning/no-lightning classifiers can be quite high, over land (above 80% Probability of Detection; below 20% False Alarm Rate). In the second, passive microwave and lightning observations are used to diagnose radar reflectivity vertical structure. A priori diagnosis of hydrometeor vertical structure is highly important for improved rainfall retrieval from either orbital radars (e.g., the future Global Precipitation Mission "mothership") or radiometers (e.g., operational SSM/I and future Global Precipitation Mission passive microwave constellation platforms), we explore the incremental benefit to such diagnosis provided by lightning observations.

  4. NASA Studies Lightning Storms Using High-Flying, Uninhabited Vehicle

    NASA Technical Reports Server (NTRS)

    2002-01-01

    A NASA team studying the causes of electrical storms and their effects on our home planet achieved a milestone on August 21, 2002, completing the study's longest-duration research flight and monitoring four thunderstorms in succession. Based at the Naval Air Station Key West, Florida, researchers with the Altus Cumulus Electrification Study (ACES) used the Altus II remotely-piloted aircraft to study thunderstorms in the Atlantic Ocean off Key West and the west of the Everglades. Data obtained through sensors mounted to the aircraft will allow researchers in ACES to gauge elements such as lightning activity and the electrical environment in and around storms. By learning more about individual storms, scientists hope to better understand the global water and energy cycle, as well as climate variability. Contained in one portion of the aircraft is a three-axis magnetic search coil, which measures the AC magnetic field; a three-axis electric field change sensor; an accelerometer; and a three-axis magnetometer, which measures the DC magnetic field. With dual goals of gathering weather data safely and testing the adaptability of the uninhabited aircraft, the ACES study is a collaboration among the Marshall Space Flight Center, the University of Alabama in Huntsville, NASA's Goddard Space Flight Center in Greenbelt, Maryland, Pernsylvania State University in University Park, and General Atomics Aeronautical Systems, Inc.

  5. NASA Studies Lightning Storms Using High-Flying, Uninhabited Vehicle

    NASA Technical Reports Server (NTRS)

    2002-01-01

    A NASA team studying the causes of electrical storms and their effects on our home planet achieved a milestone on August 21, 2002, completing the study's longest-duration research flight and monitoring four thunderstorms in succession. Based at the Naval Air Station Key West, Florida, researchers with the Altus Cumulus Electrification Study (ACES) used the Altus II remotely piloted aircraft to study thunderstorms in the Atlantic Ocean off Key West and the west of the Everglades. The ACES lightning study used the Altus II twin turbo uninhabited aerial vehicle, built by General Atomics Aeronautical Systems, Inc. of San Diego. The Altus II was chosen for its slow flight speed of 75 to 100 knots (80 to 115 mph), long endurance, and high-altitude flight (up to 65,000 feet). These qualities gave the Altus II the ability to fly near and around thunderstorms for long periods of time, allowing investigations to be conducted over the entire life cycle of storms. The vehicle has a wing span of 55 feet and a payload capacity of over 300 lbs. With dual goals of gathering weather data safely and testing the adaptability of the uninhabited aircraft, the ACES study is a collaboration among the Marshall Space Flight Center, the University of Alabama in Huntsville, NASA's Goddard Space Flight Center in Greenbelt, Maryland, Pernsylvania State University in University Park, and General Atomics Aeronautical Systems, Inc.

  6. A Closer Look at the Congo and the Lightning Maximum on Earth

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Buechler, D. E.; Lavreau, Johan; Goodman, Steven J.

    2008-01-01

    The global maps of maximum mean annual flash density derived from a decade of observations from the Lightning Imaging Sensor on the NASA Tropical Rainfall Measuring Mission (TRMM) satellite show that a 0.5 degree x 0.5 degree pixel west of Bukavu, Democratic Republic of Congo (latitude 2S, longitude 28E) has the most frequent lightning activity anywhere on earth with an average value in excess of 157 fl/sq km/yr. This pixel has a flash density that is much greater than even its surrounding neighbors. By contrast the maximum mean annual flash rate for North America located in central Florida is only 33 fl/sq km/yr. Previous studies have shown that monthly-seasonal-annual lightning maxima on earth occur in regions dominated by coastal (land-sea breeze interactions) or topographic influences (elevated heat sources, enhanced convergence). Using TRMM, Landsat Enhanced Thematic Mapper, and Shuttle Imaging Radar imagery we further examine the unique features of this region situated in the deep tropics and dominated by a complex topography having numerous mountain ridges and valleys to better understand why this pixel, unlike any other, has the most active lightning on the planet.

  7. A Method for Retrieving Ground Flash Fraction from Satellite Lightning Imager Data

    NASA Technical Reports Server (NTRS)

    Koshak, William J.

    2009-01-01

    A general theory for retrieving the fraction of ground flashes in N lightning observed by a satellite-based lightning imager is provided. An "exponential model" is applied as a physically reasonable constraint to describe the measured optical parameter distributions, and population statistics (i.e., mean, variance) are invoked to add additional constraints to the retrieval process. The retrieval itself is expressed in terms of a Bayesian inference, and the Maximum A Posteriori (MAP) solution is obtained. The approach is tested by performing simulated retrievals, and retrieval error statistics are provided. The ability to retrieve ground flash fraction has important benefits to the atmospheric chemistry community. For example, using the method to partition the existing satellite global lightning climatology into separate ground and cloud flash climatologies will improve estimates of lightning nitrogen oxides (NOx) production; this in turn will improve both regional air quality and global chemistry/climate model predictions.

  8. Lightning threat extent of a small thunderstorm

    NASA Technical Reports Server (NTRS)

    Nicholson, James R.; Maier, Launa M.; Weems, John

    1988-01-01

    The concern for safety of the personnel at the Kennedy Space Center (KSC) has caused NASA to promulgate strict safety procedures requiring either termination or substantial curtailment when ground lightning threat is believed to exist within 9.3 km of a covered operation. In cases where the threat is overestimated, in either space or time, an opportunity cost is accrued. This paper describes a small thunderstorm initiated over the KSC by terrain effects, that serves to exemplify the impact such an event may have on ground operations at the Center. Data from the Air Force Lightning Location and Protection System, the AF/NASA Launch Pad Lightning Warning System field mill network, radar, and satellite imagery are used to describe the thunderstorm and to discuss its impact.

  9. Electrical Characterizations of Lightning Strike Protection Techniques for Composite Materials

    NASA Technical Reports Server (NTRS)

    Szatkowski, George N.; Nguyen, Truong X.; Koppen, Sandra V.; Ely, Jay J.; Mielnik, John J.

    2009-01-01

    The growing application of composite materials in commercial aircraft manufacturing has significantly increased the risk of aircraft damage from lightning strikes. Composite aircraft designs require new mitigation strategies and engineering practices to maintain the same level of safety and protection as achieved by conductive aluminum skinned aircraft. Researchers working under the NASA Aviation Safety Program s Integrated Vehicle Health Management (IVHM) Project are investigating lightning damage on composite materials to support the development of new mitigation, diagnosis & prognosis techniques to overcome the increased challenges associated with lightning protection on composite aircraft. This paper provides an overview of the electrical characterizations being performed to support IVHM lightning damage diagnosis research on composite materials at the NASA Langley Research Center.

  10. Lightning-Related Indicators for National Climate Assessment (NCA) Studies

    NASA Technical Reports Server (NTRS)

    Koshak, W.

    2017-01-01

    Changes in climate can affect the characteristics of lightning (e.g., number of flashes that occur in a region, return stroke current and multiplicity, polarity of charge deposited to ground, and the lightning cloud-top optical energy emission). The NASA/MSFC Lightning Analysis Tool (LAT) monitors these and other quantities in support of the National Climate Assessment (NCA) program. Changes in lightning characteristics lead to changes in lightning-caused impacts to humans (e.g., fatalities, injuries, crop/property damage, wildfires, airport delays, changes in air quality).

  11. The Rondonia Lightning Detection Network: Network Description, Science Objectives, Data Processing Archival/Methodology, and Results

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Bailey, J. C.; Pinto, O.; Athayde, A.; Renno, N.; Weidman, C. D.

    2003-01-01

    A four station Advanced Lightning Direction Finder (ALDF) network was established in the state of Rondonia in western Brazil in 1999 through a collaboration of U.S. and Brazilian participants from NASA, INPE, INMET, and various universities. The network utilizes ALDF IMPACT (Improved Accuracy from Combined Technology) sensors to provide cloud-to-ground lightning observations (i.e., stroke/flash locations, signal amplitude, and polarity) using both time-of- arrival and magnetic direction finding techniques. The observations are collected, processed and archived at a central site in Brasilia and at the NASA/Marshall Space Flight Center in Huntsville, Alabama. Initial, non-quality assured quick-look results are made available in near real-time over the Internet. The network, which is still operational, was deployed to provide ground truth data for the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite that was launched in November 1997. The measurements are also being used to investigate the relationship between the electrical, microphysical and kinematic properties of tropical convection. In addition, the long-time series observations produced by this network will help establish a regional lightning climatological database, supplementing other databases in Brazil that already exist or may soon be implemented. Analytic inversion algorithms developed at the NASA/Marshall Space Flight Center have been applied to the Rondonian ALDF lightning observations to obtain site error corrections and improved location retrievals. The data will also be corrected for the network detection efficiency. The processing methodology and the results from the analysis of four years of network operations will be presented.

  12. Pre-Launch Algorithms and Risk Reduction in Support of the Geostationary Lightning Mapper for GOES-R and Beyond

    NASA Technical Reports Server (NTRS)

    Goodman, Steven; Blakeslee, Richard; Koshak, William; Petersen, Walt; Buechler, Dennis; Krehbiel, Paul; Gatlin, Patrick; Zubrick, Steven

    2008-01-01

    The Geostationary Lightning Mapper (GLM) is a single channel, near-IR optical transient event detector, used to detect, locate and measure total lightning activity over the full-disk as part of a 3-axis stabilized, geostationary weather satellite system. The next generation NOAA Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch in 2014 will carry a GLM that will provide continuous day and night observations of lightning from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fully operational.The mission objectives for the GLM are to 1) provide continuous,full-disk lightning measurements for storm warning and Nowcasting, 2) provide early warning of tornadic activity, and 3) accumulate a long-term database to track decadal changes of lightning. The GLM owes its heritage to the NASA Lightning Imaging Sensor (1997-Present) and the Optical Transient Detector (1995-2000), which were developed for the Earth Observing System and have produced a combined 13 year data record of global lightning activity. Instrument formulation studies were completed in March 2007 and the implementation phase to develop a prototype model and up to four flight units is expected to begin in latter part of the year. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2B algorithms and applications. Proxy total lightning data from the NASA Lightning Imaging Sensor on the Tropical Rainfall Measuring Mission (TRMM) sate]lite and regional test beds (e.g., Lightning Mapping Arrays in North Alabama and the Washington DC Metropolitan area) are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. Real time lightning mapping data provided to selected National Weather Service forecast offices in Southern and Eastern Region are also improving

  13. The GOES-R Series Geostationary Lightning Mapper (GLM)

    NASA Technical Reports Server (NTRS)

    Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William J.; Mach, Douglas M.

    2011-01-01

    The Geostationary Operational Environmental Satellite (GOES-R) is the next series to follow the existing GOES system currently operating over the Western Hemisphere. Superior spacecraft and instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES capabilities include a new capability for total lightning detection (cloud and cloud-to-ground flashes) from the Geostationary Lightning Mapper (GLM), which will have just completed Critical Design Review and move forward into the construction phase of instrument development. The GLM will operate continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. In parallel with the instrument development (an engineering development unit and 4 flight models), a GOES-R Risk Reduction Team and Algorithm Working Group Lightning Applications Team have begun to develop the Level 2 algorithms, cal/val performance monitoring tools, and new applications. Proxy total lightning data from the NASA Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional ground-based lightning networks are being used to develop the pre-launch algorithms, test data sets, and applications, as well as improve our knowledge of thunderstorm initiation and evolution. In this presentation we review the planned implementation of the instrument and suite of operational algorithms

  14. Aircraft Lightning Electromagnetic Environment Measurement

    NASA Technical Reports Server (NTRS)

    Ely, Jay J.; Nguyen, Truong X.; Szatkowski, George N.

    2011-01-01

    This paper outlines a NASA project plan for demonstrating a prototype lightning strike measurement system that is suitable for installation onto research aircraft that already operate in thunderstorms. This work builds upon past data from the NASA F106, FAA CV-580, and Transall C-180 flight projects, SAE ARP5412, and the European ILDAS Program. The primary focus is to capture airframe current waveforms during attachment, but may also consider pre and post-attachment current, electric field, and radiated field phenomena. New sensor technologies are being developed for this system, including a fiber-optic Faraday polarization sensor that measures lightning current waveforms from DC to over several Megahertz, and has dynamic range covering hundreds-of-volts to tens-of-thousands-of-volts. A study of the electromagnetic emission spectrum of lightning (including radio wave, microwave, optical, X-Rays and Gamma-Rays), and a compilation of aircraft transfer-function data (including composite aircraft) are included, to aid in the development of other new lightning environment sensors, their placement on-board research aircraft, and triggering of the onboard instrumentation system. The instrumentation system will leverage recent advances in high-speed, high dynamic range, deep memory data acquisition equipment, and fiber-optic interconnect.

  15. Using Total Lightning Observations to Enhance Lightning Safety

    NASA Technical Reports Server (NTRS)

    Stano, Geoffrey T.

    2012-01-01

    Lightning is often the underrated threat faced by the public when it comes to dangerous weather phenomena. Typically, larger scale events such as floods, hurricanes, and tornadoes receive the vast majority of attention by both the general population and the media. This comes from the fact that these phenomena are large, longer lasting, can impact a large swath of society at one time, and are dangerous events. The threat of lightning is far more isolated on a case by case basis, although millions of cloud-to-ground lightning strikes hit this United States each year. While attention is given to larger meteorological events, lightning is the second leading cause of weather related deaths in the United States. This information raises the question of what steps can be taken to improve lightning safety. Already, the meteorological community s understanding of lightning has increased over the last 20 years. Lightning safety is now better addressed with the National Weather Service s access to the National Lightning Detection Network data and enhanced wording in their severe weather warnings. Also, local groups and organizations are working to improve public awareness of lightning safety with easy phrases to remember, such as "When Thunder Roars, Go Indoors." The impacts can be seen in the greater array of contingency plans, from airports to sports stadiums, addressing the threat of lightning. Improvements can still be made and newer technologies may offer new tools as we look towards the future. One of these tools is a network of sensors called a lightning mapping array (LMA). Several of these networks exist across the United States. NASA s Short-term Prediction Research and Transition Center (SPoRT), part of the Marshall Spaceflight Center, has access to three of these networks from Huntsville, Alabama, the Kennedy Space Center, and Washington D.C. The SPoRT program s mission is to help transition unique products and observations into the operational forecast environment

  16. Modeling of X-ray Images and Energy Spectra Produced by Stepping Lightning Leaders

    NASA Astrophysics Data System (ADS)

    Xu, Wei; Marshall, Robert A.; Celestin, Sebastien; Pasko, Victor P.

    2017-11-01

    Recent ground-based measurements at the International Center for Lightning Research and Testing (ICLRT) have greatly improved our knowledge of the energetics, fluence, and evolution of X-ray emissions during natural cloud-to-ground (CG) and rocket-triggered lightning flashes. In this paper, using Monte Carlo simulations and the response matrix of unshielded detectors in the Thunderstorm Energetic Radiation Array (TERA), we calculate the energy spectra of X-rays as would be detected by TERA and directly compare with the observational data during event MSE 10-01. The good agreement obtained between TERA measurements and theoretical calculations supports the mechanism of X-ray production by thermal runaway electrons during the negative corona flash stage of stepping lightning leaders. Modeling results also suggest that measurements of X-ray bursts can be used to estimate the approximate range of potential drop of lightning leaders. Moreover, the X-ray images produced during the leader stepping process in natural negative CG discharges, including both the evolution and morphological features, are theoretically quantified. We show that the compact emission pattern as recently observed in X-ray images is likely produced by X-rays originating from the source region, and the diffuse emission pattern can be explained by the Compton scattering effects.

  17. The Rondonia Lightning Detection Network: Network Description, Science Objectives, Data Processing/Archival Methodology, and First Results

    NASA Technical Reports Server (NTRS)

    Blakelee, Richard

    1999-01-01

    A four station Advanced Lightning Direction Finder (ALDF) network was recently established in the state of Rondonia in western Brazil through a collaboration of U.S. and Brazilian participants from NASA, INPE, INMET, and various universities. The network utilizes ALDF IMPACT (Improved Accuracy from Combined Technology) sensors to provide cloud-to-ground lightning observations (i.e., stroke/flash locations, signal amplitude, and polarity) using both time-of-arrival and magnetic direction finding techniques. The observations are collected, processed and archived at a central site in Brasilia and at the NASA/Marshall Space Flight Center (MSFC) in Huntsville, Alabama. Initial, non-quality assured quick-look results are made available in near real-time over the internet. The network will remain deployed for several years to provide ground truth data for the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measurement Mission (TRMM) satellite which was launched in November 1997. The measurements will also be used to investigate the relationship between the electrical, microphysical and kinematic properties of tropical convection. In addition, the long-term observations from this network will contribute in establishing a regional lightning climatological data base, supplementing other data bases in Brazil that already exist or may soon be implemented. Analytic inversion algorithms developed at NASA/MSFC are now being applied to the Rondonian ALDF lightning observations to obtain site error corrections and improved location retrievals. The processing methodology and the initial results from an analysis of the first 6 months of network operations will be presented.

  18. The Rondonia Lightning Detection Network: Network Description, Science Objectives, Data Processing/Archival Methodology, and First Results

    NASA Technical Reports Server (NTRS)

    Blakeslee, Rich; Bailey, Jeff; Koshak, Bill

    1999-01-01

    A four station Advanced Lightning Direction Finder (ALDF) network was recently established in the state of Rondonia in western Brazil through a collaboration of U.S. and Brazilian participants from NASA, INPE, INMET, and various universities. The network utilizes ALDF IMPACT (Improved Accuracy from Combined Technology) sensors to provide cloud-to-ground lightning observations (i.e., stroke/flash locations, signal amplitude, and polarity) using both time-of-arrival and magnetic direction finding techniques. The observations are collected, processed and archived at a central site in Brasilia and at the NASA/ Marshall Space Flight Center (MSFC) in Huntsville, Alabama. Initial, non-quality assured quick-look results are made available in near real-time over the internet. The network will remain deployed for several years to provide ground truth data for the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite which was launched in November 1997. The measurements will also be used to investigate the relationship between the electrical, microphysical and kinematic properties of tropical convection. In addition, the long-term observations from this network will contribute in establishing a regional lightning climatological data base, supplementing other data bases in Brazil that already exist or may soon be implemented. Analytic inversion algorithms developed at NASA/Marshall Space Flight Center (MSFC) are now being applied to the Rondonian ALDF lightning observations to obtain site error corrections and improved location retrievals. The processing methodology and the initial results from an analysis of the first 6 months of network operations will be presented.

  19. Comparison of the KSC-ER Cloud-to-Ground Lightning Surveillance System (CGLSS) and the U.S. National Lightning Detection Network (NLDN)

    NASA Technical Reports Server (NTRS)

    Ward, Jennifer G.; Cummins, Kenneth L.; Krider, E. Philip

    2008-01-01

    The NASA Kennedy Space Center (KSC) and Air Force Eastern Range (ER) are located in a region of Florida that experiences the highest area density of lightning strikes to ground in the United States, with values approaching 16 fl/km 2/yr when accumulated in 10x10 km (100 sq km) grids (see Figure 1). Consequently, the KSC-ER use data derived from two cloud-to-ground (CG) lightning detection networks to detect hazardous weather, the "Cloud-to-Ground Lightning Surveillance System" (CGLSS) that is owned and operated by the Air Force and the U.S. National Lightning Detection Network (NLDN) that is owned and operated by Vaisala, Inc. These systems are used to provide lightning warnings for ground operations and to insure mission safety during space launches at the KSC-ER. In order to protect the rocket and shuttle fleets, NASA and the Air Force follow a set of lightning safety guidelines that are called the Lightning Launch Commit Criteria (LLCC). These rules are designed to insure that vehicles are not exposed to the hazards of natural or triggered lightning that would in any way jeopardize a mission or cause harm to the shuttle astronauts. Also, if any CG lightning strikes too close to a vehicle on a launch pad, it can cause time-consuming mission delays due to the extensive retests that are often required for vehicles and/or payloads when this occurs. If any CG lightning strike is missed or mis-located by even a small amount, the result could have significant safety implications, require expensive retests, or create unnecessary delays or scrubs in launches. Therefore, it is important to understand the performance of each lightning detection system in considerable detail.

  20. Assessing the Lifetime Performance of the Lightning Imaging Sensor (LIS): Implications for the Geostationary Lightning Mapper (GLM)

    NASA Technical Reports Server (NTRS)

    Buechler, D. E.; Christian, H. J.; Koshak, W. J.; Goodman, S. J.

    2011-01-01

    The Lightning Imaging Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite has been providing observations of total lightning over the Earth s Tropics for 13 years. This study examines the performance of the LIS throughout its time in orbit. Application of the Deep Convective Cloud Technique (DCCT) (Doelling et al., 2004) was performed on the LIS background pixels to assess the stability of the LIS instrument. The DCCT analysis indicates that the maximum deviation of the monthly mean radiance is within 2% of the overall mean, indicating stable performance over the period. In addition, an examination of the number of flashes detected over time similarly shows no significant trend (after adjusting for the orbit boost that occurred in August 2001). These and other results indicate that there has been no discernible change in LIS performance throughout its lifetime. A similar approach will used for monitoring the performance of the Geostationary Lightning Mapper (GLM) onboard the next generation Geostationary Operational Environmental Satellite-R (GOES-R). Since GLM is based on LIS design heritage, the LIS results indicate that GLM may also experience stable performance over its lifetime.

  1. Investigating the Use of Deep Convective Clouds (DCCT) to Monitor On-orbit Performance of the Geostationary Lightning Mapper (GLM) using Lightning Imaging Sensor (LIS) Measurements

    NASA Technical Reports Server (NTRS)

    Buechler, Dennis E.; Christian, Hugh J.; Koshak, William J.; Goodman, Steven J.

    2013-01-01

    There is a need to monitor the on-orbit performance of the Geostationary Lightning Mapper (GLM) on the Geostationary Operational Environmental Satellite R (GOES-R) for changes in instrument calibration that will affect GLM's lightning detection efficiency. GLM has no onboard calibration so GLM background radiance observations (available every 2.5 min) of Deep Convective Clouds (DCCs) are investigated as invariant targets to monitor GLM performance. Observations from the Lightning Imaging Sensor (LIS) and the Visible and Infrared Scanner (VIRS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite are used as proxy datasets for GLM and ABI 11 m measurements.

  2. First Cloud-to-Ground Lightning Timing Study

    NASA Technical Reports Server (NTRS)

    Huddleston, Lisa L.

    2013-01-01

    NASA's LSP, GSDO and other programs use the probability of cloud-to-ground (CG) lightning occurrence issued by the 45th Weather Squadron (45 WS) in their daily and weekly lightning probability forecasts. These organizations use this information when planning potentially hazardous outdoor activities, such as working with fuels, or rolling a vehicle to a launch pad, or whenever personnel will work outside and would be at-risk from lightning. These organizations would benefit greatly if the 45 WS could provide more accurate timing of the first CG lightning strike of the day. The Applied Meteorology Unit (AMU) has made significant improvements in forecasting the probability of lightning for the day, but forecasting the time of the first CG lightning with confidence has remained a challenge. To address this issue, the 45 WS requested the AMU to determine if flow regimes, wind speed categories, or a combination of the two could be used to forecast the timing of the first strike of the day in the Kennedy Space Center (KSC)/Cape Canaveral Air Force Station (CCAFS) lightning warning circles. The data was stratified by various sea breeze flow regimes and speed categories in the surface to 5,000-ft layer. The surface to 5,000-ft layer was selected since that is the layer the 45 WS uses to predict the behavior of sea breeze fronts, which are the dominant influence on the occurrence of first lightning in Florida during the warm season. Due to small data sample sizes after stratification, the AMU could not determine a statistical relationship between flow regimes or speed categories and the time of the first CG strike.. As expected, although the amount and timing of lightning activity varies by time of day based on the flow regimes and speed categories, there are extended tails of low lightning activity making it difficult to specify times when the threat of the first lightning flash can be avoided. However, the AMU developed a graphical user interface with input from the 45 WS

  3. The Lightning Nitrogen Oxides Model (LNOM): Status and Recent Applications

    NASA Technical Reports Server (NTRS)

    Koshak, William; Khan, Maudood; Peterson, Harold

    2011-01-01

    Improvements to the NASA Marshall Space Flight Center Lightning Nitrogen Oxides Model (LNOM) are discussed. Recent results from an August 2006 run of the Community Multiscale Air Quality (CMAQ) modeling system that employs LNOM lightning NOx (= NO + NO2) estimates are provided. The LNOM analyzes Lightning Mapping Array (LMA) data to estimate the raw (i.e., unmixed and otherwise environmentally unmodified) vertical profile of lightning NOx. The latest LNOM estimates of (a) lightning channel length distributions, (b) lightning 1-m segment altitude distributions, and (c) the vertical profile of NOx are presented. The impact of including LNOM-estimates of lightning NOx on CMAQ output is discussed.

  4. Global Lightning Activity

    NASA Technical Reports Server (NTRS)

    Christian, Hugh J.

    2004-01-01

    Our knowledge of the global distribution of lightning has improved dramatically since the advent of spacebased lightning observations. Of major importance was the 1995 launch of the Optical Transient Detector (OTD), followed in 1997 by the launch of the Lightning Imaging Sensor (LIS). Together, these instruments have generated a continuous eight-year record of global lightning activity. These lightning observations have provided a new global perspective on total lightning activity. For the first time, total lightning activity (cloud-to-ground and intra-cloud) has been observed over large regions with high detection efficiency and accurate geographic location. This has produced new insights into lightning distributions, times of occurrence and variability. It has produced a revised global flash rate estimate (44 flashes per second) and has lead to a new realization of the significance of total lightning activity in severe weather. Accurate flash rate estimates are now available over large areas of the earth (+/- 72 deg. latitude). Ocean-land contrasts as a function of season are clearly reveled, as are orographic effects and seasonal and interannual variability. The space-based observations indicate that air mass thunderstorms, not large storm system dominate global activity. The ability of LIS and OTD to detect total lightning has lead to improved insight into the correlation between lightning and storm development. The relationship between updraft development and lightning activity is now well established and presents an opportunity for providing a new mechanism for remotely monitoring storm development. In this concept, lightning would serve as a surrogate for updraft velocity. It is anticipated that this capability could lead to significantly improved severe weather warning times and reduced false warning rates. This talk will summarize our space-based lightning measurements, will discuss how lightning observations can be used to monitor severe weather, and

  5. Electro-optic Lightning Detector

    NASA Technical Reports Server (NTRS)

    Koshak, William J.; Solakiewicz, Richard J.

    1996-01-01

    The design, alignment, calibration, and field deployment of a solid-state lightning detector is described. The primary sensing component of the detector is a potassium dihydrogen phosphate (KDP) electro-optic crystal that is attached in series to a flat plate aluminum antenna; the antenna is exposed to the ambient thundercloud electric field. A semiconductor laser diode (lambda = 685 nm), polarizing optics, and the crystal are arranged in a Pockels cell configuration. Lightning-caused electric field changes are related to small changes in the transmission of laser light through the optical cell. Several hundred lightning electric field change excursions were recorded during five thunderstorms that occurred in the summer of 1998 at the NASA Marshall Space Flight Center (MSFC) in northern Alabama.

  6. Electro-Optic Lightning Detector

    NASA Technical Reports Server (NTRS)

    Koshak, Willliam; Solakiewicz, Richard

    1998-01-01

    The design, alignment, calibration, and field deployment of a solid-state lightning detector is described. The primary sensing component of the detector is a potassium dihydrogen phosphate (KDP) electro-optic crystal that is attached in series to a flat plate aluminum antenna; the antenna is exposed to the ambient thundercloud electric field. A semiconductor laser diode (lambda = 685 nm), polarizing optics, and the crystal are arranged in a Pockels cell configuration. Lightning-caused electric field changes are then related to small changes in the transmission of laser light through the optical cell. Several hundred lightning electric field change excursions were recorded during 4 thunderstorms that occurred in the summer of 1998 at the NASA Marshall Space Flight Center (MSFC) in Northern Alabama.

  7. Lightning Pin Injection Test: MOSFETS in "ON" State

    NASA Technical Reports Server (NTRS)

    Ely, Jay J.; Nguyen, Truong X.; Szatkowski, George N.; Koppen, Sandra V.; Mielnik, John J.; Vaughan, Roger K.; Saha, Sankalita; Wysocki, Philip F.; Celaya, Jose R.

    2011-01-01

    The test objective was to evaluate MOSFETs for induced fault modes caused by pin-injecting a standard lightning waveform into them while operating. Lightning Pin-Injection testing was performed at NASA LaRC. Subsequent fault-mode and aging studies were performed by NASA ARC researchers using the Aging and Characterization Platform for semiconductor components. This report documents the test process and results, to provide a basis for subsequent lightning tests. The ultimate IVHM goal is to apply prognostic and health management algorithms using the features extracted during aging to allow calculation of expected remaining useful life. A survey of damage assessment techniques based upon inspection is provided, and includes data for optical microscope and X-ray inspection. Preliminary damage assessments based upon electrical parameters are also provided.

  8. VLF long-range lightning location using the arrival time difference technique (ATD)

    NASA Technical Reports Server (NTRS)

    Ierkic, H. Mario

    1996-01-01

    A new network of VLF receiving systems is currently being developed in the USA to support NASA's Tropical Rain Measuring Mission (TRMM). The new network will be deployed in the east coast of the US, including Puerto Rico, and will be operational in late 1995. The system should give affordable, near real-time, accurate lightning locating capabilities at long ranges and with extended coverage. It is based on the Arrival Time Difference (ATD) method of Lee (1986; 1990). The ATD technique is based on the estimation of the time of arrival of sferics detected over an 18 kHz bandwith. The ground system results will be compared and complemented with satellite optical measurements gathered with the already operational Optical Transient Detector (OTD) instrument and in due course with its successor the Lightning Imaging Sensor (LIS). Lightning observations are important to understand atmospheric electrification phenomena, discharge processes, associated phenomena on earth (e.g. whistlers, explosive Spread-F) and other planets. In addition, lightning is a conspicuous indicator of atmospheric activity whose potential is just beginning to be recognized and utilized. On more prosaic grounds, lightning observations are important for protection of life, property and services.

  9. Produce documents and media information. [on lightning

    NASA Technical Reports Server (NTRS)

    Alzmann, Melanie A.; Miller, G.A.

    1994-01-01

    Lightning data and information were collected from the United States, Germany, France, Brazil, China, and Australia for the dual purposes of compiling a global lightning data base and producing publications on the Marshall Space Flight Center's lightning program. Research covers the history of lightning, the characteristics of a storm, types of lightningdischarges, observations from airplanes and spacecraft, the future fole of planes and spacecraft in lightning studies, lightning detection networks, and the relationships between lightning and rainfall. Descriptions of the Optical Transient Dectector, the Lightning Imaging Sensor, and the Lightning Mapper Sensor are included.

  10. New Mission to Measure Global Lightning from the International Space Station (ISS)

    NASA Astrophysics Data System (ADS)

    Blakeslee, R. J.; Christian, H. J., Jr.; Mach, D. M.; Buechler, D. E.; Koshak, W. J.; Walker, T. D.; Bateman, M. G.; Stewart, M. F.; O'Brien, S.; Wilson, T. O.; Pavelitz, S. D.; Coker, C.

    2015-12-01

    Over the past 20 years, the NASA Marshall Space Flight Center, the University of Alabama in Huntsville, and their partners developed and demonstrated the effectiveness and value of space-based lightning observations as a remote sensing tool for Earth science research and applications, and, in the process, established a robust global lightning climatology. The observations included measurements from the Lightning Imaging Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) that acquired global observations of total lightning (i.e., intracloud and cloud-to-ground discharges) from November 1997 to April 2015 between 38° N/S latitudes, and its Optical Transient Detector predecessor that acquired observation from May 1995 to April 2000 over 75° N/S latitudes. In February 2016, as an exciting follow-on to these prior missions, a space-qualified LIS built as a flight-spare for TRMM will be delivered to the International Space Station (ISS) for a 2 year or longer mission, flown as a hosted payload on the Department of Defense Space Test Program-Houston 5 (STP-H5) mission. The LIS on ISS will continue observations of the amount, rate, and radiant energy of total lightning over the Earth. More specifically, LIS measures lightning during both day and night, with storm scale resolution (~4 km), millisecond timing, and high, uniform detection efficiency, without any land-ocean bias. Lightning is a direct and most impressive response to intense atmospheric convection. ISS LIS lightning observations will continue to provide important gap-filling inputs to pressing Earth system science issues across a broad range of disciplines. This mission will also extend TRMM time series observations, expand the latitudinal coverage to 54° latitude, provide real-time lightning data to operational users, espically over data sparse oceanic regions, and enable cross-sensor observations and calibrations that includes the new GOES-R Geostationary Lightning Mapper (GLM) and the Meteosat

  11. Preliminary study on the Validation of FY-4A Lightning Mapping Imager

    NASA Astrophysics Data System (ADS)

    Cao, D.; Lu, F.; Qie, X.; Zhang, X.; Huang, F.; Wang, D.

    2017-12-01

    The FengYun-4 (FY-4) geostationary meteorological satellite is the second generation of China's geostationary meteorological satellite. The FY-4A was launched on December 11th, 2016. It includes a new instrument Lightning Mapping Imager (LMI) for total lightning (cloud and cloud-to-ground flashes) detection. The LMI operates at a wavelength of 777.4nm with 1.9ms integrated time. And it could observe lightning activity continuously day and night with spatial resolution of 7.8 km (sub satellite point) over China region. The product algorithm of LMI consists of false signal filtering and flash clustering analysis. The false signal filtering method is used to identify and remove non-lightning artifacts in optical events. The flash clustering analysis method is used to cluster "event" into "group" and "flash" using specified time and space threshold, and the other non-lightning optical events are filtered further more in the clustering analysis. The ground-based lightning location network (LLN) in China and WWLLN (World Wide Lightning Location Network) were both used to make preliminary validation of LMI. The detection efficiency for cloud-to-ground lightning, spatial and temporal accuracy of LMI were estimated by the comparison of lightning observations from ground-based network and LMI. The day and night biases were also estiamted. Although the LLN and WWLLN mainly observe return strokes in cloud-to-ground flash, the accuracy of LMI still could be estimated for that it was not associated with the flash type mostly. The false alarm efficiency of LMI was estimated using the Geostationary Interferometric Infrared Sounder (GIIRS), another payloads on the FY-4A satellite. The GIIRS could identify the convective cloud region and give more information about the cloud properties. The GIIRS products were used to make a rough evaluation of false alarm efficiency of LMI. The results of this study reveal details of characteristics of LMI instrument. It is also found that the

  12. Global Lightning Activity

    NASA Technical Reports Server (NTRS)

    Christian, Hugh

    2003-01-01

    Our knowledge of the global distribution of lightning has improved dramatically since the 1995 launch of the Optical Transient Detector (OTD) followed in 1997 by the launch of the Lightning Imaging Sensor (LIS). Together, these instruments have generated a continuous seven-year record of global lightning activity. These lightning observations have provided a new global perspective on total lightning activity. For the first time, total lightning activity (CG and IC) has been observed over large regions with high detection efficiencies and accurate geographic location. This has produced new insights into lightning distributions, times of occurrence and variability. It has produced a revised global flash rate estimate (46 flashes per second) and has lead to a new realization of the significance of total lightning activity in severe weather. Accurate flash rate estimates are now available for large areas of the earth (+/- 72deg latitude) Ocean-land contrasts as a function of season are clearly revealed, as are orographic effects and seasonal and interannual variability. The data set indicates that air mass thunderstorms, not large storm systems dominate global activity. The ability of LIS and OTD to detect total lightning has lead to improved insight into the correlation between lightning and storm development. The relationship between updraft development and lightning activity is now well established and presents an opportunity for providing a new mechanism for remotely monitoring storm development. In this concept, lightning would serve as a surrogate for updraft velocity. It is anticipated hat this capability could lead to significantly improved severe weather warning times and reduced false warning rates.

  13. The 1981 direct strike lightning data. [utilizing the F-106 aircraft

    NASA Technical Reports Server (NTRS)

    Pitts, F. L.; Thomas, M. E.

    1982-01-01

    Data waveforms obtained during the 1981 direct strike lightning tests, utilizing the NASA F-106B aircraft specially instrumented for lightning electromagnetic measurements are presented. The aircraft was operated in a thunderstorm environment to elicit strikes. Electromagnetic field data were recorded for both attached lightning and free field excitation of the aircraft.

  14. An Integrated 0-1 Hour First-Flash Lightning Nowcasting, Lightning Amount and Lightning Jump Warning Capability

    NASA Technical Reports Server (NTRS)

    Mecikalski, John; Jewett, Chris; Carey, Larry; Zavodsky, Brad; Stano, Geoffrey

    2015-01-01

    Lightning one of the most dangerous weather-related phenomena, especially as many jobs and activities occur outdoors, presenting risk from a lightning strike. Cloud-to-ground (CG) lightning represents a considerable safety threat to people at airfields, marinas, and outdoor facilities-from airfield personnel, to people attending outdoor stadium events, on beaches and golf courses, to mariners, as well as emergency personnel. Holle et al. (2005) show that 90% of lightning deaths occurred outdoors, while 10% occurred indoors despite the perception of safety when inside buildings. Curran et al. (2000) found that nearly half of fatalities due to weather were related to convective weather in the 1992-1994 timeframe, with lightning causing a large component of the fatalities, in addition to tornadoes and flash flooding. Related to the aviation industry, CG lightning represents a considerable hazard to baggage-handlers, aircraft refuelers, food caterers, and emergency personnel, who all become exposed to the risk of being struck within short time periods while convective storm clouds develop. Airport safety protocols require that ramp operations be modified or discontinued when lightning is in the vicinity (typically 16 km), which becomes very costly and disruptive to flight operations. Therefore, much focus has been paid to nowcasting the first-time initiation and extent of lightning, both of CG and of any lightning (e.g, in-cloud, cloud-to-cloud). For this project three lightning nowcasting methodologies will be combined: (1) a GOESbased 0-1 hour lightning initiation (LI) product (Harris et al. 2010; Iskenderian et al. 2012), (2) a High Resolution Rapid Refresh (HRRR) lightning probability and forecasted lightning flash density product, such that a quantitative amount of lightning (QL) can be assigned to a location of expected LI, and (3) an algorithm that relates Pseudo-GLM data (Stano et al. 2012, 2014) to the so-called "lightning jump" (LJ) methodology (Shultz et al

  15. Lightning swept-stroke attachment patterns and flight conditions for storm hazards 1981

    NASA Technical Reports Server (NTRS)

    Fisher, B. D.

    1984-01-01

    As part of the NASA Langley Research Center Storm Hazards Program, 111 thunderstorm penetrations were made in 1981 with an F-106B airplane in order to record direct-strike lightning data and the associated flight conditions. Ground-based weather radar measurements in conjunction with these penetrations were made by NOAA National Severe Storms Laboratory in Oklahoma and by NASA Wallops Flight Facility in Virginia. In 1981, the airplane received 10 direct lightning strikes; in addition, lightning transient data were recorded from 22 nearby flashes. Following each flight, the airplane was thoroughly inspected for evidence of lightning attachment, and the individual lightning attachment points were plotted on isometric projections of the airplane to identify swept-flash patterns. This report shows the strike attachment patterns that were found, and tabulates the flight conditions at the time of each lightning event. Finally, this paper contains a table in which the data in this report are cross-referenced with the previously published electromagnetic waveform data recorded onboard the airplane.

  16. Characteristics of the Lightning Activities in Southwest China from Low-Earth Orbiting and Geostationary Satellites-, and Ground-based Lightning Observations

    NASA Astrophysics Data System (ADS)

    Hui, W.; Huang, F.; Guo, Q.; Li, D.; Yao, Z.; Zou, W.

    2017-12-01

    The development of lightning detection technology accumulates a large amount of long-term data for investigating the lightning activities. Ground-based lightning networks provide continuous lightning location but offer limited spatial coverage because of the complex underlying surface conditions. Space-based optical sensors can detect lightning with global homogeneity. However, observing from satellites in low-earth orbit has fixed locations at the ground very shortly during its overpasses. The latest launched geostationary satellite-based lightning imagers can detect lightning in real time, and provide complete life-cycle coverage of each observed thunderstorm. In this study, based on multi-source lightning data, the lightning activities in southwest China, which with complex terrain and prone to appear lightning, are researched. Firstly, the climatological characteristics of lightning activities in this region from 1998 to 2013 are analyzed by using very-high resolution (0.1°) Lightning Imaging Sensor (LIS)-derived data. The results indicate that the lightning activity is more intense in eastern and southern regions of southwest China than in western and northern regions; the monthly and hourly flash densities also show its obvious seasonal and diurnal variation respectively, which is consistent with the development of the convective systems in the region. The results show that the spatial and temporal distribution of lightning activities in southwest China is related to its topography, water vapor, and atmospheric conditions. Meanwhile, by comparing with the analysis derived data from Chinese Ground-based Lightning Location System, the LIS-based detection results are confirmed. Furthermore, the process of a thunderstorm in southwest China from 29 to 30 March 2017 is investigated by using the new-generation monitoring data of Chinese Fengyun-4 geostationary satellite-based Lightning Mapping Imager (LMI) and the rainfall data. The results tell us more about the

  17. Lightning attachment patterns and flight conditions for storm hazards, 1980

    NASA Technical Reports Server (NTRS)

    Fisher, B. D.; Keyser, G. L., Jr.; Deal, P. L.

    1982-01-01

    As part of the NASA Langley Research Center Storm Hazards Program, 69 thunderstorm pentrations were made in 1980 with an F-106B airplane in order to record direct strike lightning data and the associated flight conditions. Ground based weather radar measurements in conjunction with these penetrations were made by NOAA National Severe Storms Laboratory in Oklahoma and by NASA Wallops Flight Center in Virginia. In 1980, the airplane received 10 direct lightning strikes; in addition, lightning transient data were recorded from 6 nearby flashes. Following each flight, the airplane was thoroughly inspected for evidence of lightning attachment, and the individual lightning attachment points were plotted on isometric projections of the airplane to identify swept flash patterns. This report presents pilot descriptions of the direct strikes to the airplane, shows the strike attachment patterns that were found, and discusses the implications of the patterns with respect to aircraft protection design. The flight conditions are also included. Finally, the lightning strike scenarios for three U.S. Air Force F-106A airplanes which were struck during routine operations are given in the appendix to this paper.

  18. Lightning criteria relative to space shuttles: Currents and electric field intensity in Florida lightning

    NASA Technical Reports Server (NTRS)

    Uman, M. A.; Mclain, D. K.

    1972-01-01

    The measured electric field intensities of 161 lightning strokes in 39 flashes which occurred between 1 and 35 km from an observation point at Kennedy Space Center, Florida during June and July of 1971 have been analyzed to determine the lightning channel currents which produced the fields. In addition, typical channel currents are derived and from these typical electric fields at distances between 0.5 and 100 km are computed and presented. On the basis of the results recommendations are made for changes in the specification of lightning properties relative to space vehicle design as given in NASA TMX-64589 (Daniels, 1971). The small sample of lightning analyzed yielded several peak currents in the 100 kA range. Several current rise-times from zero to peak of 0.5 microsec or faster were found; and the fastest observed current rate-of-rise was near 200 kA/microsec. The various sources of error are discussed.

  19. Cloud-to-Ground Lightning Estimates Derived from SSMI Microwave Remote Sensing and NLDN

    NASA Technical Reports Server (NTRS)

    Winesett, Thomas; Magi, Brian; Cecil, Daniel

    2015-01-01

    Lightning observations are collected using ground-based and satellite-based sensors. The National Lightning Detection Network (NLDN) in the United States uses multiple ground sensors to triangulate the electromagnetic signals created when lightning strikes the Earth's surface. Satellite-based lightning observations have been made from 1998 to present using the Lightning Imaging Sensor (LIS) on the NASA Tropical Rainfall Measuring Mission (TRMM) satellite, and from 1995 to 2000 using the Optical Transient Detector (OTD) on the Microlab-1 satellite. Both LIS and OTD are staring imagers that detect lightning as momentary changes in an optical scene. Passive microwave remote sensing (85 and 37 GHz brightness temperatures) from the TRMM Microwave Imager (TMI) has also been used to quantify characteristics of thunderstorms related to lightning. Each lightning detection system has fundamental limitations. TRMM satellite coverage is limited to the tropics and subtropics between 38 deg N and 38 deg S, so lightning at the higher latitudes of the northern and southern hemispheres is not observed. The detection efficiency of NLDN sensors exceeds 95%, but the sensors are only located in the USA. Even if data from other ground-based lightning sensors (World Wide Lightning Location Network, the European Cooperation for Lightning Detection, and Canadian Lightning Detection Network) were combined with TRMM and NLDN, there would be enormous spatial gaps in present-day coverage of lightning. In addition, a globally-complete time history of observed lightning activity is currently not available either, with network coverage and detection efficiencies varying through the years. Previous research using the TRMM LIS and Microwave Imager (TMI) showed that there is a statistically significant correlation between lightning flash rates and passive microwave brightness temperatures. The physical basis for this correlation emerges because lightning in a thunderstorm occurs where ice is first

  20. The NASA Severe Thunderstorm Observations and Regional Modeling (NASA STORM) Project

    NASA Technical Reports Server (NTRS)

    Schultz, Christopher J.; Gatlin, Patrick N.; Lang, Timothy J.; Srikishen, Jayanthi; Case, Jonathan L.; Molthan, Andrew L.; Zavodsky, Bradley T.; Bailey, Jeffrey; Blakeslee, Richard J.; Jedlovec, Gary J.

    2016-01-01

    The NASA Severe Storm Thunderstorm Observations and Regional Modeling(NASA STORM) project enhanced NASA’s severe weather research capabilities, building upon existing Earth Science expertise at NASA Marshall Space Flight Center (MSFC). During this project, MSFC extended NASA’s ground-based lightning detection capacity to include a readily deployable lightning mapping array (LMA). NASA STORM also enabled NASA’s Short-term Prediction and Research Transition (SPoRT) to add convection allowing ensemble modeling to its portfolio of regional numerical weather prediction (NWP) capabilities. As a part of NASA STORM, MSFC developed new open-source capabilities for analyzing and displaying weather radar observations integrated from both research and operational networks. These accomplishments enabled by NASA STORM are a step towards enhancing NASA’s capabilities for studying severe weather and positions them for any future NASA related severe storm field campaigns.

  1. Direct-strike lightning photographs, swept-flash attachment patterns, and flight conditions for storm hazards 1982

    NASA Technical Reports Server (NTRS)

    Zaepfel, K. P.; Fisher, B. D.; Ott, M. S.

    1985-01-01

    As part of the NASA Langley Research Center Storm Hazards Program, 241 thunderstorm penetrations were made in 1982 with an F-106B airplane in order to record direct-strike lightning data and the associated flight conditions. During these penetrations, the airplane received 156 direct lightning strikes; in addition, lightning transient data were recorded from 26 nearby lightning flashes. The tests were conducted within 150 nautical miles of Hampton, Virginia, assisted by ground-based weather-radar guidance from the NASA Wallops Flight Facility. The photographs of the lightning attachments taken from two onboard 16-mm color movie cameras and the associated strike attachment patterns are presented. A table of the flight conditions recorded at the time of each lightning event, and a table in which the data are cross-referenced with the previously published lightning electromagnetic waveform data are included.

  2. Interpretation methodology and analysis of in-flight lightning data

    NASA Technical Reports Server (NTRS)

    Rudolph, T.; Perala, R. A.

    1982-01-01

    A methodology is presented whereby electromagnetic measurements of inflight lightning stroke data can be understood and extended to other aircraft. Recent measurements made on the NASA F106B aircraft indicate that sophisticated numerical techniques and new developments in corona modeling are required to fully understand the data. Thus the problem is nontrivial and successful interpretation can lead to a significant understanding of the lightning/aircraft interaction event. This is of particular importance because of the problem of lightning induced transient upset of new technology low level microcircuitry which is being used in increasing quantities in modern and future avionics. Inflight lightning data is analyzed and lightning environments incident upon the F106B are determined.

  3. ENSO Related Inter-Annual Lightning Variability from the Full TRMM LIS Lightning Climatology

    NASA Technical Reports Server (NTRS)

    Clark, Austin; Cecil, Daniel

    2018-01-01

    The El Nino/Southern Oscillation (ENSO) contributes to inter-annual variability of lightning production more than any other atmospheric oscillation. This study further investigated how ENSO phase affects lightning production in the tropics and subtropics using the Tropical Rainfall Measuring Mission (TRMM) Lightning Imaging Sensor (LIS). Lightning data were averaged into mean annual warm, cold, and neutral 'years' for analysis of the different phases and compared to model reanalysis data. An examination of the regional sensitivities and preliminary analysis of three locations was conducted using model reanalysis data to determine the leading convective mechanisms in these areas and how they might respond to the ENSO phases

  4. The Imager for Sprites and Upper Atmospheric Lightning (ISUAL)

    NASA Astrophysics Data System (ADS)

    Frey, H. U.; Mende, S. B.; Harris, S. E.; Heetderks, H.; Takahashi, Y.; Su, H.-T.; Hsu, R.-R.; Chen, A. B.; Fukunishi, H.; Chang, Y.-S.; Lee, L.-C.

    2016-08-01

    The Imager for Sprites and Upper Atmospheric Lightning (ISUAL) was the first specifically dedicated instrument to observe lightning-induced transient luminous events (TLE): sprites, elves, halos, and gigantic jets from space. The Imager is an intensified CCD system operating in the visible wavelength region with a filter wheel to select from six positions with filters. The Imager has a 5° × 20° (vertical times horizontal) field of view. The spectrophotometer (SP) is populated with six photometers with individual filters for emissions from the far ultraviolet to the near infrared. An array photometer with two channels operating in the blue and red provides altitude profiles of the emission over 16 altitude bins each. The Associated Electronics Package (AEP) controls instrument functions and interfaces with the spacecraft. ISUAL was launched 21 May 2004 into a Sun-synchronous 890 km orbit on the Formosat-2 satellite and has successfully been collecting data ever since. ISUAL is running on the nightside of the orbit and is pointed to the east of the orbit down toward the limb. The instrument runs continuously and writes data to a circular buffer. Whenever the SP detects a sudden signal increase above a preset threshold, a trigger signal is generated that commands the system to keep the data for about 400 ms starting from ~50 ms before the trigger. Over its lifetime of ~11 years the system recorded thousands of TLE and also successfully observed aurora and airglow.

  5. Lightning protection for shuttle propulsion elements

    NASA Technical Reports Server (NTRS)

    Goodloe, Carolyn C.; Giudici, Robert J.

    1991-01-01

    The results of lightning protection analyses and tests are weighed against the present set of waivers to the NASA lightning protection specification. The significant analyses and tests are contrasted with the release of a new and more realistic lightning protection specification, in September 1990, that resulted in an inordinate number of waivers. A variety of lightning protection analyses and tests of the Shuttle propulsion elements, the Solid Rocket Booster, the External Tank, and the Space Shuttle Main Engine, were conducted. These tests range from the sensitivity of solid propellant during shipping to penetration of cryogenic tanks during flight. The Shuttle propulsion elements have the capability to survive certain levels of lightning strikes at certain times during transportation, launch site operations, and flight. Changes are being evaluated that may improve the odds of withstanding a major lightning strike. The Solid Rocket Booster is the most likely propulsion element to survive if systems tunnel bond straps are improved. Wiring improvements were already incorporated and major protection tests were conducted. The External Tank remains vulnerable to burn-through penetration of its skin. Proposed design improvements include the use of a composite nose cone and conductive or laminated thermal protection system coatings.

  6. The North Alabama Lightning Mapping Array (LMA): A Network Overview

    NASA Technical Reports Server (NTRS)

    Blakeslee, R. J.; Bailey, J.; Buechler, D.; Goodman, S. J.; McCaul, E. W., Jr.; Hall, J.

    2005-01-01

    The North Alabama Lightning Mapping Array (LMA) is s a 3-D VHF regional lightning detection system that provides on-orbit algorithm validation and instrument performance assessments for the NASA Lightning Imaging Sensor, as well as information on storm kinematics and updraft evolution that offers the potential to improve severe storm warning lead time by up t o 50% and decrease te false alarm r a t e ( for non-tornado producing storms). In support of this latter function, the LMA serves as a principal component of a severe weather test bed to infuse new science and technology into the short-term forecasting of severe and hazardous weather, principally within nearby National Weather Service forecast offices. The LMA, which became operational i n November 2001, consists of VHF receivers deployed across northern Alabama and a base station located at the National Space Science and Technology Center (NSSTC), which is on t h e campus of the University of Alabama in Huntsville. The LMA system locates the sources of impulsive VHF radio signals s from lightning by accurately measuring the time that the signals aririve at the different receiving stations. Each station's records the magnitude and time of the peak lightning radiation signal in successive 80 ms intervals within a local unused television channel (channel 5, 76-82 MHz in our case ) . Typically hundreds of sources per flash can be reconstructed, which i n t u r n produces accurate 3-dimensional lightning image maps (nominally <50 m error within 150 la. range). The data are transmitted back t o a base station using 2.4 GHz wireless Ethernet data links and directional parabolic grid antennas. There are four repeaters in the network topology and the links have an effective data throughput rate ranging from 600 kbits s -1 t o 1.5 %its s -1. This presentation provides an overview of t h e North Alabama network, the data processing (both real-time and post processing) and network statistics.

  7. A Detailed Look at the Performance Characteristics of the Lightning Imaging Sensor

    NASA Technical Reports Server (NTRS)

    Zhang, Daile; Cummins, Kenneth L.; Bitzer, Phillip; Koshak, William J.

    2018-01-01

    The Lightning Imaging Sensor (LIS) on board the Tropical Rainfall Measuring Mission (TRMM) effectively reached its end of life on April 15, 2015 after 17+ years of observation. Given the wealth of information in the archived LIS lightning data, and growing use of optical observations of lightning from space throughout the world, it is still of importance to better understand LIS calibration and performance characteristics. In this work, we continue our efforts to quantify the optical characteristics of the LIS pixel array, and to further characterize the detection efficiency and location accuracy of LIS. The LIS pixel array was partitioned into four quadrants, each having its own signal amplifier and digital conversion hardware. In addition, the sensor optics resulted in a decreasing sensitivity with increasing displacement from the center of the array. These engineering limitations resulted in differences in the optical emissions detected across the pixel array. Our work to date has shown a 20% increase in the count of the lightning events detected in one of the LIS quadrants, because of a lower detection threshold. In this study, we will discuss our work in progress on these limitations, and their potential impact on the group- and flash-level parameters.

  8. Lightning attachment process to common buildings

    NASA Astrophysics Data System (ADS)

    Saba, M. M. F.; Paiva, A. R.; Schumann, C.; Ferro, M. A. S.; Naccarato, K. P.; Silva, J. C. O.; Siqueira, F. V. C.; Custódio, D. M.

    2017-05-01

    The physical mechanism of lightning attachment to grounded structures is one of the most important issues in lightning physics research, and it is the basis for the design of the lightning protection systems. Most of what is known about the attachment process comes from leader propagation models that are mostly based on laboratory observations of long electrical discharges or from observations of lightning attachment to tall structures. In this paper we use high-speed videos to analyze the attachment process of downward lightning flashes to an ordinary residential building. For the first time, we present characteristics of the attachment process to common structures that are present in almost every city (in this case, two buildings under 60 m in São Paulo City, Brazil). Parameters like striking distance and connecting leaders speed, largely used in lightning attachment models and in lightning protection standards, are revealed in this work.Plain Language SummarySince the time of Benjamin Franklin, no one has ever recorded high-speed video <span class="hlt">images</span> of a <span class="hlt">lightning</span> connection to a common building. It is very difficult to do it. Cameras need to be very close to the structure chosen to be observed, and long observation time is required to register one <span class="hlt">lightning</span> strike to that particular structure. Models and theories used to determine the zone of protection of a <span class="hlt">lightning</span> rod have been developed, but they all suffer from the lack of field data. The submitted manuscript provides results from high-speed video observations of <span class="hlt">lightning</span> attachment to low buildings that are commonly found in almost every populated area around the world. The proximity of the camera and the high frame rate allowed us to see interesting details that will improve the understanding of the attachment process and, consequently, the models and theories used by <span class="hlt">lightning</span> protection standards. This paper also presents spectacular <span class="hlt">images</span> and videos of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20000039434','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20000039434"><span>Analysis and Assessment of Peak <span class="hlt">Lightning</span> Current Probabilities at the <span class="hlt">NASA</span> Kennedy Space Center</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Johnson, D. L.; Vaughan, W. W.</p> <p>1999-01-01</p> <p>This technical memorandum presents a summary by the Electromagnetics and Aerospace Environments Branch at the Marshall Space Flight Center of <span class="hlt">lightning</span> characteristics and <span class="hlt">lightning</span> criteria for the protection of aerospace vehicles. Probability estimates are included for certain <span class="hlt">lightning</span> strikes (peak currents of 200, 100, and 50 kA) applicable to the National Aeronautics and Space Administration Space Shuttle at the Kennedy Space Center, Florida, during rollout, on-pad, and boost/launch phases. Results of an extensive literature search to compile information on this subject are presented in order to answer key questions posed by the Space Shuttle Program Office at the Johnson Space Center concerning peak <span class="hlt">lightning</span> current probabilities if a vehicle is hit by a <span class="hlt">lightning</span> cloud-to-ground stroke. Vehicle-triggered <span class="hlt">lightning</span> probability estimates for the aforementioned peak currents are still being worked. Section 4.5, however, does provide some insight on estimating these same peaks.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140011606','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140011606"><span>Variation of a <span class="hlt">Lightning</span> NOx Indicator for National Climate Assessment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, William J.; McCaul, Eugene W., Jr.; Peterson, Harold S.; Vant-Hull, Brian</p> <p>2014-01-01</p> <p>During the past couple of years, an analysis tool was developed by the <span class="hlt">NASA</span> Marshall Space Flight Center (MSFC) for the National Climate Assessment (NCA) program. The tool monitors and examines changes in <span class="hlt">lightning</span> characteristics over the conterminous US (CONUS) on a continual basis. In this study, we have expanded the capability of the tool so that it can compute a new climate assessment variable that is called the <span class="hlt">Lightning</span> NOx Indicator (LNI). Nitrogen oxides (NOx = NO + NO2) are known to indirectly influence our climate, and <span class="hlt">lightning</span> NOx is the most important source of NOx in the upper troposphere (particularly in the tropics). The LNI is derived using <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data and is computed by summing up the product of flash area x flash brightness over all flashes that occur in a particular region and period. Therefore, it is suggested that the LNI is a proxy to <span class="hlt">lightning</span> NOx production. Specifically, larger flash areas are consistent with longer channel length and/or more energetic channels, and hence more NOx production. Brighter flashes are consistent with more energetic channels, and hence more NOx production. The location of the flash within the thundercloud and the optical scattering characteristics of the thundercloud are of course complicating factors. We analyze LIS data for the years 2003-2013 and provide geographical plots of the time-evolution of the LNI in order to determine if there are any significant changes or trends between like seasons, or from year to year.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ThApC.tmp..441D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ThApC.tmp..441D"><span>Spatial and temporal analysis of a 17-year <span class="hlt">lightning</span> climatology over Bangladesh with LIS data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dewan, Ashraf; Ongee, Emmanuel T.; Rahman, Md. Masudur; Mahmood, Rezaul; Yamane, Yusuke</p> <p>2017-10-01</p> <p>Using <span class="hlt">NASA</span>'s TRMM <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data from 1998 to 2014, this paper presents a 17-year <span class="hlt">lightning</span> climatology of Bangladesh, at 0.5° × 0.5° spatial resolution. Diurnal, seasonal, monthly and annual variations in the occurrence of <span class="hlt">lightning</span> flashes were explored. The diurnal regime of <span class="hlt">lightning</span> is dominated by afternoon/evening events. Overall, peak <span class="hlt">lightning</span> activity occurs in the early morning (0200 LST) and evening (1900 LST). The distribution of <span class="hlt">lightning</span> flash counts by season over Bangladesh landmass is as follows: pre-monsoon (69.2%), monsoon (24.1%), post-monsoon (4.6%) and winter (2.1%). Flash rate density (FRD) hotspots were primarily located in the north and north-eastern parts of Bangladesh, with a maximum of 72 fl km-2 year-1. Spatially, the distribution of FRD increases from the Bay of Bengal in the south to relatively higher elevations (of the Himalayan foothills) in the north. A spatial shift in FRD hotspots occurs with change in season. For example, in monsoon season, hotspots of <span class="hlt">lightning</span> activity move in a south-westerly direction from their pre-monsoon location (i.e. north-eastern Bangladesh) towards West Bengal in India. South and south-eastern parts of Bangladesh experience high <span class="hlt">lightning</span> activity during post-monsoon season due to regional orographic lifting and low-pressure systems (i.e. cyclone) in the Bay of Bengal. To the best of our knowledge, this is the first study focused on LIS-based <span class="hlt">lightning</span> climatology over Bangladesh. This baseline study, therefore, is an essential first step towards effective management of <span class="hlt">lightning</span>-related hazards in Bangladesh.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130003160','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130003160"><span>Flash Detection Efficiencies of Long Range <span class="hlt">Lightning</span> Detection Networks During GRIP</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mach, Douglas M.; Bateman, Monte G.; Blakeslee, Richard J.</p> <p>2012-01-01</p> <p>We flew our <span class="hlt">Lightning</span> Instrument Package (LIP) on the <span class="hlt">NASA</span> Global Hawk as a part of the Genesis and Rapid Intensification Processes (GRIP) field program. The GRIP program was a <span class="hlt">NASA</span> Earth science field experiment during the months of August and September, 2010. During the program, the LIP detected lighting from 48 of the 213 of the storms overflown by the Global Hawk. The time and location of tagged LIP flashes can be used as a "ground truth" dataset for checking the detection efficiency of the various long or extended range ground-based <span class="hlt">lightning</span> detection systems available during the GRIP program. The systems analyzed included Vaisala Long Range (LR), Vaisala GLD360, the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN), and the Earth Networks Total <span class="hlt">Lightning</span> Network (ENTLN). The long term goal of our research is to help understand the advantages and limitations of these systems so that we can utilize them for both proxy data applications and cross sensor validation of the GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM) sensor when it is launched in the 2015 timeframe.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUSMAE53A..05G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUSMAE53A..05G"><span>Artificial Neural Network applied to <span class="hlt">lightning</span> flashes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gin, R. B.; Guedes, D.; Bianchi, R.</p> <p>2013-05-01</p> <p>The development of video cameras enabled cientists to study <span class="hlt">lightning</span> discharges comportment with more precision. The main goal of this project is to create a system able to detect <span class="hlt">images</span> of <span class="hlt">lightning</span> discharges stored in videos and classify them using an Artificial Neural Network (ANN)using C Language and OpenCV libraries. The developed system, can be split in two different modules: detection module and classification module. The detection module uses OpenCV`s computer vision libraries and <span class="hlt">image</span> processing techniques to detect if there are significant differences between frames in a sequence, indicating that something, still not classified, occurred. Whenever there is a significant difference between two consecutive frames, two main algorithms are used to analyze the frame <span class="hlt">image</span>: brightness and shape algorithms. These algorithms detect both shape and brightness of the event, removing irrelevant events like birds, as well as detecting the relevant events exact position, allowing the system to track it over time. The classification module uses a neural network to classify the relevant events as horizontal or vertical <span class="hlt">lightning</span>, save the event`s <span class="hlt">images</span> and calculates his number of discharges. The Neural Network was implemented using the backpropagation algorithm, and was trained with 42 training <span class="hlt">images</span> , containing 57 <span class="hlt">lightning</span> events (one <span class="hlt">image</span> can have more than one <span class="hlt">lightning</span>). TheANN was tested with one to five hidden layers, with up to 50 neurons each. The best configuration achieved a success rate of 95%, with one layer containing 20 neurons (33 test <span class="hlt">images</span> with 42 events were used in this phase). This configuration was implemented in the developed system to analyze 20 video files, containing 63 <span class="hlt">lightning</span> discharges previously manually detected. Results showed that all the <span class="hlt">lightning</span> discharges were detected, many irrelevant events were unconsidered, and the event's number of discharges was correctly computed. The neural network used in this project achieved a</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110000675','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110000675"><span>A History of the <span class="hlt">Lightning</span> Launch Commit Criteria and the <span class="hlt">Lightning</span> Advisory Panel for America's Space Program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Merceret, Francis J. (Editor); Willett, John C.; Christian, Hugh J.; Dye, James E.; Krider, E. Phillip; Madura, John T.; OBrien, T. Paul; Rust, W. David; Walterscheid, Richard L.</p> <p>2010-01-01</p> <p>The history of the <span class="hlt">Lightning</span> Launch Commit Criteria (LLCC) used at all spaceports under the jurisdiction of the United States is provided. The formation and history of the <span class="hlt">Lightning</span> Advisory Panel (LAP) that now advises <span class="hlt">NASA</span>, the Air Force and the Federal Aviation Administration on LLCC development and improvement is emphasized. The period covered extends from the early days of space flight through 2010. Extensive appendices provide significant detail about important aspects that are only summarized in the main text.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE23B2483N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE23B2483N"><span>First high speed <span class="hlt">imaging</span> of <span class="hlt">lightning</span> from summer thunderstorms over India: Preliminary results based on amateur recording using a digital camera</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Narayanan, V. L.</p> <p>2017-12-01</p> <p>For the first time, high speed <span class="hlt">imaging</span> of <span class="hlt">lightning</span> from few isolated tropical thunderstorms are observed from India. The recordings are made from Tirupati (13.6oN, 79.4oE, 180 m above mean sea level) during summer months with a digital camera capable of recording high speed videos up to 480 fps. At 480 fps, each individual video file is recorded for 30 s resulting in 14400 deinterlaced <span class="hlt">images</span> per video file. An automatic processing algorithm is developed for quick identification and analysis of the <span class="hlt">lightning</span> events which will be discussed in detail. Preliminary results indicating different types of phenomena associated with <span class="hlt">lightning</span> like stepped leader, dart leader, luminous channels corresponding to continuing current and M components are discussed. While most of the examples show cloud to ground discharges, few interesting cases of intra-cloud, inter-cloud and cloud-air discharges will also be displayed. This indicates that though high speed cameras with few 1000 fps are preferred for a detailed study on <span class="hlt">lightning</span>, moderate range CMOS sensor based digital cameras can provide important information as well. The <span class="hlt">lightning</span> <span class="hlt">imaging</span> activity presented herein is initiated as an amateur effort and currently plans are underway to propose a suite of supporting instruments to conduct coordinated campaigns. The <span class="hlt">images</span> discussed here are acquired from normal residential area and indicate how frequent <span class="hlt">lightning</span> strikes are in such tropical locations during thunderstorms, though no towering structures are nearby. It is expected that popularizing of such recordings made with affordable digital cameras will trigger more interest in <span class="hlt">lightning</span> research and provide a possible data source from amateur observers paving the way for citizen science.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180001922','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180001922"><span>ENSO Related Interannual <span class="hlt">Lightning</span> Variability from the Full TRMM LIS <span class="hlt">Lightning</span> Climatology</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Clark, Austin; Cecil, Daniel J.</p> <p>2018-01-01</p> <p>It has been shown that the El Nino/Southern Oscillation (ENSO) contributes to inter-annual variability of <span class="hlt">lightning</span> production in the tropics and subtropics more than any other atmospheric oscillation. This study further investigated how ENSO phase affects <span class="hlt">lightning</span> production in the tropics and subtropics. Using the Tropical Rainfall Measuring Mission (TRMM) <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) and the Oceanic Nino Index (ONI) for ENSO phase, <span class="hlt">lightning</span> data were averaged into corresponding mean annual warm, cold, and neutral 'years' for analysis of the different phases. An examination of the regional sensitivities and preliminary analysis of three locations was conducted using model reanalysis data to determine the leading convective mechanisms in these areas and how they might respond to the ENSO phases. These processes were then studied for inter-annual variance and subsequent correlation to ENSO during the study period to best describe the observed <span class="hlt">lightning</span> deviations from year to year at each location.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003710','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003710"><span>Weekly Cycle of <span class="hlt">Lightning</span> and Associated Patterns of Rainfall, Cloud, and Aerosols over Korea and Adjacent Oceans during Boreal Summer</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kim, Ji-In; Kim, Kyu-Myong</p> <p>2011-01-01</p> <p>In this study, we analyze the weekly cycle of <span class="hlt">lightning</span> over Korea and adjacent oceans and associated variations of aerosols, clouds, precipitation, and atmospheric circulations, using aerosol optical depth (AOD) from the <span class="hlt">NASA</span> Moderate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) and Multi-angle <span class="hlt">Imaging</span> SpectroRadiometer (MISR), cloud properties from MODIS, precipitation and storm height from Tropical Rainfall Measuring Mission (TRMM) satellite, and <span class="hlt">lightning</span> data from the Korean <span class="hlt">Lightning</span> Detection Network (KLDN) during 9-year from 2002 to 2010. <span class="hlt">Lightning</span> data was divided into three approximately equal areas, land area of Korea, and two adjacent oceans, Yellow Sea and South Sea. Preliminary results show that the number of <span class="hlt">lightning</span> increases during the middle of the week over Yellow Sea. AOD data also shows moderately significant midweek increase at about the same time as <span class="hlt">lightning</span> peaks. These results are consistent with the recent studies showing the invigoration of storms with more ice hydrometeors by aerosols, and subsequently wash out of aerosols by rainfall. Frequency of <span class="hlt">lightning</span> strokes tend to peak at weekend in land area and over South Sea, indicating local weekly anomalous circulation between land and adjacent ocean. On the other hand, <span class="hlt">lightning</span> frequency over Yellow Sea appears to have very strong weekly cycle with midweek peak on around Wednesday. It is speculated that the midweek peak of <span class="hlt">lightning</span> over Yellow Sea was related with aerosol transport from adjacent land area. AOD data also suggests midweek peak over Yellow Sea, however, the weekly cycle of AOD was not statistically significant. Changes in weekly cycle of <span class="hlt">lightning</span> from pre-monsoon to monsoon season, as well as associated clouds and circulation patterns are also discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100020902&hterms=Geostationary&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DGeostationary','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100020902&hterms=Geostationary&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DGeostationary"><span>The Geostationary <span class="hlt">Lightning</span> Mapper (GLM) for the GOES-R Series Next Generation Operational Environmental Satellite Constellation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven J.; Blakeslee, Richard; Koshak, William; Petersen, Walter; Carey, Larry; Mach, Douglas; Buechler, Dennis; Bateman, Monte; McCaul, Eugene; Bruning, Eric; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20100020902'); toggleEditAbsImage('author_20100020902_show'); toggleEditAbsImage('author_20100020902_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20100020902_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20100020902_hide"></p> <p>2010-01-01</p> <p>The next generation Geostationary Operational Environmental Satellite (GOES-R) series with a planned launch in 2015 is a follow on to the existing GOES system currently operating over the Western Hemisphere. The system will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. The system provides products including <span class="hlt">lightning</span>, cloud properties, rainfall rate, volcanic ash, air quality, hurricane intensity, and fire/hot spot characterization. Advancements over current GOES include a new capability for total <span class="hlt">lightning</span> detection (cloud and cloud-to-ground flashes) from the Geostationary <span class="hlt">Lightning</span> Mapper (GLM), and improved spectral, spatial, and temporal resolution for the 16-channel Advanced Baseline <span class="hlt">Imager</span> (ABI). The Geostationary <span class="hlt">Lightning</span> Mapper (GLM), an optical transient detector will map total (in-cloud and cloud-to-ground) <span class="hlt">lightning</span> flashes continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions, from the west coast of Africa (GOES-E) to New Zealand (GOES-W) when the constellation is fully operational. In parallel with the instrument development, a GOES-R Risk Reduction Team and Algorithm Working Group <span class="hlt">Lightning</span> Applications Team have begun to develop the higher level algorithms and applications using the GLM alone and decision aids incorporating information from the ABI, ground-based weather radar, and numerical models. Proxy total <span class="hlt">lightning</span> data from the <span class="hlt">NASA</span> <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional <span class="hlt">lightning</span> networks are being used to develop the pre-launch algorithms and applications, and also improve our knowledge of thunderstorm initiation and evolution. Real time total <span class="hlt">lightning</span> mapping data are also being provided in an experimental mode to selected National Weather Service (NWS) national centers and forecast offices via</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120015525','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120015525"><span>High Impact Weather Forecasts and Warnings with the GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven J.; Blakeslee, Richard J.; Koshak, William; Mach, Douglas M.</p> <p>2011-01-01</p> <p>The Geostationary Operational Environmental Satellite (GOES-R) is the next series to follow the existing GOES system currently operating over the Western Hemisphere. A major advancement over the current GOES include a new capability for total <span class="hlt">lightning</span> detection (cloud and cloud-to-ground flashes) from the Geostationary <span class="hlt">Lightning</span> Mapper (GLM). The GLM will operate continuously day and night with near-uniform spatial resolution of 8 km with a product refresh rate of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency. In parallel with the instrument development, a GOES-R Risk Reduction Science Team and Algorithm Working Group <span class="hlt">Lightning</span> Applications Team have begun to develop cal/val performance monitoring tools and new applications using the GLM alone, in conjunction with other instruments, and merged or blended integrated observing system products combining satellite, radar, in-situ and numerical models. Proxy total <span class="hlt">lightning</span> data from the <span class="hlt">NASA</span> <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) on the Tropical Rainfall Measuring Mission (TRMM) satellite and regional ground-based <span class="hlt">lightning</span> networks are being used to develop the pre-launch algorithms, test data sets, and applications, as well as improve our knowledge of thunderstorm initiation and evolution. In this presentation we review the planned implementation of the instrument and suite of operational algorithms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMAE33D..01K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMAE33D..01K"><span>How <span class="hlt">Lightning</span> Works Inside Thunderstorms: A Half-Century of <span class="hlt">Lightning</span> Studies</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Krehbiel, P. R.</p> <p>2015-12-01</p> <p><span class="hlt">Lightning</span> is a fascinating and intriguing natural phenomenon, but the most interesting parts of <span class="hlt">lightning</span> discharges are inside storms where they are obscured from view by the storm cloud. Although clouds are essentially opaque at optical frequencies, they are fully transparent at radio frequencies (RF). This, coupled with the fact that <span class="hlt">lightning</span> produces prodigious RF emissions, has allowed us to <span class="hlt">image</span> and study <span class="hlt">lightning</span> inside storms using various RF and lower-frequency remote sensing techniques. As in all other scientific disciplines, the technology for conducting the studies has evolved to an incredible extent over the past 50 years. During this time, we have gone from having very little or no knowledge of how <span class="hlt">lightning</span> operates inside storms, to being able to 'see' its detailed structure and development with an increasing degree of spatial and temporal resolution. In addition to studying the discharge processes themselves, <span class="hlt">lightning</span> mapping observations provide valuable information on the electrical charge structure of storms, and on the mechanisms by which storms become strongly electrified. In this presentation we briefly review highlights of previous observations, focussing primarily on the long string of remote-sensing studies I have been involved in. We begin with the study of <span class="hlt">lightning</span> charge centers of cloud-to-ground discharges in central New Mexico in the late 1960s and continue up to the present day with interferometric and 3-dimensional time-of-arrival VHF mapping observations of <span class="hlt">lightning</span> in normally- and anomalously electrified storms. A particularly important aspect of the investigations has been comparative studies of <span class="hlt">lightning</span> in different climatological regimes. We conclude with observations being obtained by a high-speed broadband VHF interferometer, which show in unprecedented detail how individual <span class="hlt">lightning</span> discharges develop inside storms. From combined interferometer and 3-D mapping data, we are beginning to unlock nature's secrets</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_5");'>5</a></li> <li><a href="#" onclick='return showDiv("page_6");'>6</a></li> <li class="active"><span>7</span></li> <li><a href="#" onclick='return showDiv("page_8");'>8</a></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_7 --> <div id="page_8" 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_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</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="141"> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980046546','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980046546"><span><span class="hlt">NASA</span> <span class="hlt">Image</span> eXchange (NIX)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>vonOfenheim. William H. C.; Heimerl, N. Lynn; Binkley, Robert L.; Curry, Marty A.; Slater, Richard T.; Nolan, Gerald J.; Griswold, T. Britt; Kovach, Robert D.; Corbin, Barney H.; Hewitt, Raymond W.</p> <p>1998-01-01</p> <p>This paper discusses the technical aspects of and the project background for the <span class="hlt">NASA</span> <span class="hlt">Image</span> exchange (NIX). NIX, which provides a single entry point to search selected <span class="hlt">image</span> databases at the <span class="hlt">NASA</span> Centers, is a meta-search engine (i.e., a search engine that communicates with other search engines). It uses these distributed digital <span class="hlt">image</span> databases to access photographs, animations, and their associated descriptive information (meta-data). NIX is available for use at the following URL: http://nix.<span class="hlt">nasa</span>.gov./NIX, which was sponsored by <span class="hlt">NASAs</span> Scientific and Technical Information (STI) Program, currently serves <span class="hlt">images</span> from seven <span class="hlt">NASA</span> Centers. Plans are under way to link <span class="hlt">image</span> databases from three additional <span class="hlt">NASA</span> Centers. <span class="hlt">images</span> and their associated meta-data, which are accessible by NIX, reside at the originating Centers, and NIX utilizes a virtual central site that communicates with each of these sites. Incorporated into the virtual central site are several protocols to support searches from a diverse collection of database engines. The searches are performed in parallel to ensure optimization of response times. To augment the search capability, browse functionality with pre-defined categories has been built into NIX, thereby ensuring dissemination of 'best-of-breed' imagery. As a final recourse, NIX offers access to a help desk via an on-line form to help locate <span class="hlt">images</span> and information either within the scope of NIX or from available external sources.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130003210','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130003210"><span>The Kinematic and Microphysical Control of Storm Integrated <span class="hlt">Lightning</span> Flash Extent</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Carey, Lawrence D.; Peterson, Harold S.; Schultz, Elise V.; Matthee, Retha; Schultz, Christopher J.; Petersen, Walter A,; Bain, Lamont</p> <p>2012-01-01</p> <p>Objective: To investigate the kinematic and microphysical control of <span class="hlt">lightning</span> properties, particularly those that may govern the production of nitrogen oxides (NOx) in thunderstorms, such as flash rate, type (intracloud [IC] vs. cloud-to-ground [CG] ) and extent. Data and Methodology: a) <span class="hlt">NASA</span> MSFC <span class="hlt">Lightning</span> Nitrogen Oxides Model (LNOM) is applied to North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA) and Vaisala National <span class="hlt">Lightning</span> Detection Network(TradeMark) (NLDN) observations following ordinary convective cells through their lifecycle. b) LNOM provides estimates of flash type, channel length distributions, <span class="hlt">lightning</span> segment altitude distributions (SADs) and <span class="hlt">lightning</span> NOx production profiles (Koshak et al. 2012). c) LNOM <span class="hlt">lightning</span> characteristics are compared to the evolution of updraft and precipitation properties inferred from dual-Doppler (DD) and polarimetric radar analyses of UAHuntsville Advanced Radar for Meteorological and Operational Research (ARMOR, Cband, polarimetric) and KHTX (S-band, Doppler).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016SPIE.9881E..2ER','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016SPIE.9881E..2ER"><span>Post launch calibration and testing of the Geostationary <span class="hlt">Lightning</span> Mapper on GOES-R satellite</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rafal, Marc; Clarke, Jared T.; Cholvibul, Ruth W.</p> <p>2016-05-01</p> <p>The Geostationary Operational Environmental Satellite R (GOES-R) series is the planned next generation of operational weather satellites for the United States National Oceanic and Atmospheric Administration (NOAA). The National Aeronautics and Space Administration (<span class="hlt">NASA</span>) is procuring the GOES-R spacecraft and instruments with the first launch of the GOES-R series planned for October 2016. Included in the GOES-R Instrument suite is the Geostationary <span class="hlt">Lightning</span> Mapper (GLM). GLM is a single-channel, near-infrared optical detector that can sense extremely brief (800 μs) transient changes in the atmosphere, indicating the presence of <span class="hlt">lightning</span>. GLM will measure total <span class="hlt">lightning</span> activity continuously over the Americas and adjacent ocean regions with near-uniform spatial resolution of approximately 10 km. Due to its large CCD (1372x1300 pixels), high frame rate, sensitivity and onboard event filtering, GLM will require extensive post launch characterization and calibration. Daytime and nighttime <span class="hlt">images</span> will be used to characterize both <span class="hlt">image</span> quality criteria inherent to GLM as a space-based optic system (focus, stray light, crosstalk, solar glint) and programmable <span class="hlt">image</span> processing criteria (dark offsets, gain, noise, linearity, dynamic range). In addition ground data filtering will be adjusted based on <span class="hlt">lightning</span>-specific phenomenology (coherence) to isolate real from false transients with their own characteristics. These parameters will be updated, as needed, on orbit in an iterative process guided by pre-launch testing. This paper discusses the planned tests to be performed on GLM over the six-month Post Launch Test period to optimize and demonstrate GLM performance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160004686','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160004686"><span>Post Launch Calibration and Testing of the Geostationary <span class="hlt">Lightning</span> Mapper on GOES-R Satellite</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rafal, Marc; Cholvibul, Ruth; Clarke, Jared</p> <p>2016-01-01</p> <p>The Geostationary Operational Environmental Satellite R (GOES-R) series is the planned next generation of operational weather satellites for the United States National Oceanic and Atmospheric Administration (NOAA). The National Aeronautics and Space Administration (<span class="hlt">NASA</span>) is procuring the GOES-R spacecraft and instruments with the first launch of the GOES-R series planned for October 2016. Included in the GOES-R Instrument suite is the Geostationary <span class="hlt">Lightning</span> Mapper (GLM). GLM is a single-channel, near-infrared optical detector that can sense extremely brief (800 s) transient changes in the atmosphere, indicating the presence of <span class="hlt">lightning</span>. GLM will measure total <span class="hlt">lightning</span> activity continuously over the Americas and adjacent ocean regions with near-uniform spatial resolution of approximately 10 km. Due to its large CCD (1372x1300 pixels), high frame rate, sensitivity and onboard event filtering, GLM will require extensive post launch characterization and calibration. Daytime and nighttime <span class="hlt">images</span> will be used to characterize both <span class="hlt">image</span> quality criteria inherent to GLM as a space-based optic system (focus, stray light, crosstalk, solar glint) and programmable <span class="hlt">image</span> processing criteria (dark offsets, gain, noise, linearity, dynamic range). In addition ground data filtering will be adjusted based on <span class="hlt">lightning</span>-specific phenomenology (coherence) to isolate real from false transients with their own characteristics. These parameters will be updated, as needed, on orbit in an iterative process guided by pre-launch testing. This paper discusses the planned tests to be performed on GLM over the six-month Post Launch Test period to optimize and demonstrate GLM performance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017E%26ES...56a2010I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017E%26ES...56a2010I"><span><span class="hlt">Lightning</span> hazard region over the maritime continent observed from satellite and climate change threat</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ilhamsyah, Y.; Koesmaryono, Y.; Hidayat, R.; Murjaya, J.; Nurjaya, I. W.; Rizwan</p> <p>2017-02-01</p> <p>Climate change would lead to such hydrometeorological disaster as: flash-flood, landslide, hailstone, <span class="hlt">lightning</span>, and twister become more likely to happen in the future. In terms of <span class="hlt">lightning</span> event, one research question arise of where <span class="hlt">lightning</span> would be mostly to strike over the Maritime Continent (MC)?. The objective of the research is to investigate region with high-density of <span class="hlt">lightning</span> activity over MC by mapping climatological features of <span class="hlt">lightning</span> flashes derived from onboard <span class="hlt">NASA</span>-TRMM Satellite, i.e. Optical Transient Detector/<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (OTD/LIS). Based on data retrieved since 1995-2013, it is seasonally observed that during transition season March to May, region with high vulnerability of <span class="hlt">lightning</span> flashes cover the entire Sumatra Island, the Malacca Strait, and Peninsular Malaysia as well as Java Island. High-frequent of <span class="hlt">lightning</span> activity over the Malacca Strait is unique since it is the only sea-region in the world where <span class="hlt">lightning</span> flashes are denser. As previously mentioned that strong <span class="hlt">lightning</span> activity over the strait is driven by mesoscale convective system of Sumatra Squalls due to convergences of land breeze between Sumatra and Peninsular Malaysia. <span class="hlt">Lightning</span> activity over the strait is continuously observed throughout season despite the intensity reduced. Java Island, most populated island, receive high-density of <span class="hlt">lightning</span> flashes during rainy season (December to February) but small part in the northwestern of Java Island, e.g., Bogor and surrounding areas, the density of <span class="hlt">lightning</span> flashes are high throughout season. Northern and southern parts of Kalimantan and Central part of Sulawesi are also prone to <span class="hlt">lightning</span> activity particularly during transition season March to May and September to November. In the eastern part of MC, Papua receive denser <span class="hlt">lightning</span> flashes during September to November. It is found that <span class="hlt">lightning</span> activity are mostly concentrated over land instead of ocean which is in accordance with diurnal convective</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19860003852','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19860003852"><span>Interpretation of F-106B in-flight <span class="hlt">lightning</span> signatures</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Trost, T. F.; Grothaus, M. G.; Wen, C. T.</p> <p>1985-01-01</p> <p>Various characteristics of the electromagnetic data obtained on a <span class="hlt">NASA</span> F-106B aircraft during direct <span class="hlt">lightning</span> strikes are presented. Time scales of interest range from 10 ns to 400 microsecond. The following topics are discussed: (1) <span class="hlt">Lightning</span> current, I, measured directly versus I obtained from computer integration of measured I-dot; (2) A method of compensation for the low frequency cutoff of the current transformer used to measure I; (3) Properties of fast pulses observed in the <span class="hlt">lightning</span> time-derivative waveforms; (4) The characteristic D-dot signature of the F-106B aircraft; (5) An RC-discharge interpretation for some <span class="hlt">lightning</span> waveforms; (6) A method for inferring the locations of <span class="hlt">lightning</span> channel attachment points on the aircraft by using B-dot data; (7) Simple, approximate relationships between D-dot and I-dot and between B and I; and (8) Estimates of energy, charge, voltage, and resistance for a particular <span class="hlt">lightning</span> event.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19990008509','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19990008509"><span>Optical Detection of <span class="hlt">Lightning</span> from Space</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boccippio, Dennis J.; Christian, Hugh J.</p> <p>1998-01-01</p> <p>Optical sensors have been developed to detect <span class="hlt">lightning</span> from space during both day and night. These sensors have been fielded in two existing satellite missions and may be included on a third mission in 2002. Satellite-hosted, optically-based <span class="hlt">lightning</span> detection offers three unique capabilities: (1) the ability to reliably detect <span class="hlt">lightning</span> over large, often remote, spatial regions, (2) the ability to sample all (IC and CG) <span class="hlt">lightning</span>, and (3) the ability to detect <span class="hlt">lightning</span> with uniform (i.e., not range-dependent) sensitivity or detection efficiency. These represent significant departures from conventional RF-based detection techniques, which typically have strong range dependencies (biases) or range limitations in their detection capabilities. The atmospheric electricity team of the <span class="hlt">NASA</span> Marshall Space Flight Center's Global Hydrology and Climate Center has implemented a three-step satellite <span class="hlt">lightning</span> research program which includes three phases: proof-of-concept/climatology, science algorithm development, and operational application. The first instrument in the program, the Optical Transient Detector (OTD), is deployed on a low-earth orbit (LEO) satellite with near-polar inclination, yielding global coverage. The sensor has a 1300 x 1300 sq km field of view (FOV), moderate detection efficiency, moderate localization accuracy, and little data bias. The OTD is a proof-of-concept instrument and its mission is primarily a global <span class="hlt">lightning</span> climatology. The limited spatial accuracy of this instrument makes it suboptimal for use in case studies, although significant science knowledge has been gained from the instrument as deployed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990084078&hterms=metal+detector&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dmetal%2Bdetector','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990084078&hterms=metal+detector&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dmetal%2Bdetector"><span>Electro-Optic <span class="hlt">Lightning</span> Detector</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, William J.; Solakiewica, R. J.</p> <p>1998-01-01</p> <p>Electric field measurements are fundamental to the study of thunderstorm electrification, thundercloud charge structure, and the determination of the locations and magnitudes of charges deposited by <span class="hlt">lightning</span>. Continuous field observations can also be used to warn of impending electrical hazards. For example, the USAF Eastern Range (ER) and <span class="hlt">NASA</span> Kennedy Space Center (KSC) in Florida currently operate a ground-based network of electric field mill sensors to warn against <span class="hlt">lightning</span> hazards to space vehicle operations/launches. The sensors provide continuous recordings of the ambient field. Others investigators have employed flat-plate electric field antennas to detect changes In the ambient field due to <span class="hlt">lightning</span>. In each approach, electronic circuitry is used to directly detect and amplify the effects of the ambient field on an exposed metal conductor (antenna plate); in the case of continuous field recordings, the antenna plate is alternately shielded and unshielded by a grounded conductor. In this work effort, an alternate optical method for detecting <span class="hlt">lightning</span>-caused electric field changes is Introduced. The primary component in the detector is an anisotropic electro-optic crystal of potassium di-hydrogen phosphate (chemically written as KH2PO4 (KDP)). When a voltage Is placed across the electro-optic crystal, the refractive Indices of the crystal change. This change alters the polarization state of a laser light beam that is passed down the crystal optic axis. With suitable application of vertical and horizontal polarizers, a light transmission measurement is related to the applied crystal voltage (which in turn Is related to the <span class="hlt">lightning</span> caused electric field change). During the past two years, all critical optical components were procured, assembled, and aligned. An optical housing, calibration set-up, and data acquisition system was integrated for breadboard testing. The sensor was deployed at <span class="hlt">NASA</span> Marshall Space Flight Center (MSFC) in the summer of 1998 to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120011804','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120011804"><span><span class="hlt">NASA</span> IMAGESEER: <span class="hlt">NASA</span> <span class="hlt">IMAGEs</span> for Science, Education, Experimentation and Research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Le Moigne, Jacqueline; Grubb, Thomas G.; Milner, Barbara C.</p> <p>2012-01-01</p> <p>A number of web-accessible databases, including medical, military or other <span class="hlt">image</span> data, offer universities and other users the ability to teach or research new <span class="hlt">Image</span> Processing techniques on relevant and well-documented data. However, <span class="hlt">NASA</span> <span class="hlt">images</span> have traditionally been difficult for researchers to find, are often only available in hard-to-use formats, and do not always provide sufficient context and background for a non-<span class="hlt">NASA</span> Scientist user to understand their content. The new IMAGESEER (<span class="hlt">IMAGEs</span> for Science, Education, Experimentation and Research) database seeks to address these issues. Through a graphically-rich web site for browsing and downloading all of the selected datasets, benchmarks, and tutorials, IMAGESEER provides a widely accessible database of <span class="hlt">NASA</span>-centric, easy to read, <span class="hlt">image</span> data for teaching or validating new <span class="hlt">Image</span> Processing algorithms. As such, IMAGESEER fosters collaboration between <span class="hlt">NASA</span> and research organizations while simultaneously encouraging development of new and enhanced <span class="hlt">Image</span> Processing algorithms. The first prototype includes a representative sampling of <span class="hlt">NASA</span> multispectral and hyperspectral <span class="hlt">images</span> from several Earth Science instruments, along with a few small tutorials. <span class="hlt">Image</span> processing techniques are currently represented with cloud detection, <span class="hlt">image</span> registration, and map cover/classification. For each technique, corresponding data are selected from four different geographic regions, i.e., mountains, urban, water coastal, and agriculture areas. Satellite <span class="hlt">images</span> have been collected from several instruments - Landsat-5 and -7 Thematic Mappers, Earth Observing-1 (EO-1) Advanced Land <span class="hlt">Imager</span> (ALI) and Hyperion, and the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS). After geo-registration, these <span class="hlt">images</span> are available in simple common formats such as GeoTIFF and raw formats, along with associated benchmark data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160004688','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160004688"><span>Post Launch Calibration and Testing of the Geostationary <span class="hlt">Lightning</span> Mapper on the GOES-R Satellite</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rafal, Marc D.; Clarke, Jared T.; Cholvibul, Ruth W.</p> <p>2016-01-01</p> <p>The Geostationary Operational Environmental Satellite R (GOES-R) series is the planned next generation of operational weather satellites for the United States National Oceanic and Atmospheric Administration (NOAA). The National Aeronautics and Space Administration (<span class="hlt">NASA</span>) is procuring the GOES-R spacecraft and instruments with the first launch of the GOES-R series planned for October 2016. Included in the GOES-R Instrument suite is the Geostationary <span class="hlt">Lightning</span> Mapper (GLM). GLM is a single-channel, near-infrared optical detector that can sense extremely brief (800 microseconds) transient changes in the atmosphere, indicating the presence of <span class="hlt">lightning</span>. GLM will measure total <span class="hlt">lightning</span> activity continuously over the Americas and adjacent ocean regions with near-uniform spatial resolution of approximately 10 km. Due to its large CCD (1372x1300 pixels), high frame rate, sensitivity and onboard event filtering, GLM will require extensive post launch characterization and calibration. Daytime and nighttime <span class="hlt">images</span> will be used to characterize both <span class="hlt">image</span> quality criteria inherent to GLM as a space-based optic system (focus, stray light, crosstalk, solar glint) and programmable <span class="hlt">image</span> processing criteria (dark offsets, gain, noise, linearity, dynamic range). In addition ground data filtering will be adjusted based on <span class="hlt">lightning</span>-specific phenomenology (coherence) to isolate real from false transients with their own characteristics. These parameters will be updated, as needed, on orbit in an iterative process guided by pre-launch testing. This paper discusses the planned tests to be performed on GLM over the six-month Post Launch Test period to optimize and demonstrate GLM performance.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017EGUGA..19.5953C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017EGUGA..19.5953C"><span>The Statistic Results of the ISUAL <span class="hlt">Lightning</span> Survey</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Chuang, Chia-Wen; Bing-Chih Chen, Alfred; Liu, Tie-Yue; Lin, Shin-Fa; Su, Han-Tzong; Hsu, Rue-Ron</p> <p>2017-04-01</p> <p>The ISUAL (<span class="hlt">Imager</span> for Sprites and Upper Atmospheric <span class="hlt">Lightning</span>) onboard FORMOSAT-2 is the first science payload dedicated to the study of the <span class="hlt">lightning</span>-induced transient luminous events (TLEs). Transient events, including TLEs and <span class="hlt">lightning</span>, were recorded by the intensified <span class="hlt">imager</span>, spectrophotometer (SP), and array photometer (AP) simultaneously while their light variation observed by SP exceeds a programmed threshold. Therefore, ISUAL surveys not only TLEs but also <span class="hlt">lightning</span> globally with a good spatial, temporal and spectral resolution. In the past 12 years (2004-2016), approximately 300,000 transient events were registered, and only 42,000 are classified as TLEs. Since the main mission objective is to explore the distribution and characteristics of TLEs, the remaining transient events, mainly <span class="hlt">lightning</span>, can act as a long-term global <span class="hlt">lightning</span> survey. These huge amount of events cannot be processed manually as TLEs do, therefore, a data pipeline is developed to scan <span class="hlt">lightning</span> patterns and to derive their geolocation with an efficient algorithm. The 12-year statistic results including occurrence rate, global distribution, seasonal variation, and the comparison with the LIS/OTD survey are presented in this report.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990064210&hterms=physical+activity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dphysical%2Bactivity','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990064210&hterms=physical+activity&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dphysical%2Bactivity"><span>Comparisons of the Vertical Development of Deep Tropical Convection and Associated <span class="hlt">Lightning</span> Activity on a Global Basis</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Williams, E.; Lin, S.; Labrada, C.; Christian, H.; Goodman, S.; Boccippio, D.; Driscoll, K.</p> <p>1999-01-01</p> <p>Simultaneous radar (13.8 Ghz) and <span class="hlt">lightning</span> (<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor) observations from the <span class="hlt">NASA</span> TRMM (Tropical Rainfall Measuring Mission) spacecraft afford a new opportunity to examine differences in tropical continental and oceanic convection on a global basis, The 250 meter vertical resolution of the radar data and the approximately 17 dBZ sensitivity are well suited to providing vertical profiles of radar reflectivity over the entire tropical belt. The reflectivity profile has been shown in numerous local ground-based studies to be a good indicator of both updraft velocity and electrical activity. The radar and <span class="hlt">lightning</span> observations for multiple satellite orbits have been integrated to produce global CAPPI's for various altitudes. At 7 km altitude, where mixed phase microphysics is known to be active, the mean reflectivity in continental convection is 10-15 dB greater than the value in oceanic convection. These results provide a sound physical basis for the order-of-magnitude contrast in <span class="hlt">lightning</span> counts between continental and oceanic convection. These observations still beg the question, however, about the contrast in updraft velocity in these distinct convective regimes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003989','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003989"><span>Evaluation of <span class="hlt">NASA</span> SPoRT's Pseudo-Geostationary <span class="hlt">Lightning</span> Mapper Products in the 2011 Spring Program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Carcione, Brian; Siewert, Christopher; Kuhlman, Kristin M.</p> <p>2012-01-01</p> <p><span class="hlt">NASA</span>'s Short-term Prediction Research and Transition (SPoRT) program is a contributing partner with the GOES-R Proving Ground (PG) preparing forecasters to understand and utilize the unique products that will be available in the GOES-R era. This presentation emphasizes SPoRT s actions to prepare the end user community for the Geostationary <span class="hlt">Lightning</span> Mapper (GLM). This preparation is a collaborative effort with SPoRT's National Weather Service partners, the National Severe Storms Laboratory (NSSL), and the Hazardous Weather Testbed s Spring Program. SPoRT continues to use its effective paradigm of matching capabilities to forecast problems through collaborations with our end users and working with the developers at NSSL to create effective evaluations and visualizations. Furthermore, SPoRT continues to develop software plug-ins so that these products will be available to forecasters in their own decision support system, AWIPS and eventually AWIPS II. In 2009, the SPoRT program developed the original pseudo geostationary <span class="hlt">lightning</span> mapper (PGLM) flash extent product to demonstrate what forecasters may see with GLM. The PGLM replaced the previous GLM product and serves as a stepping-stone until the AWG s official GLM proxy is ready. The PGLM algorithm is simple and can be applied to any ground-based total <span class="hlt">lightning</span> network. For 2011, the PGLM used observations from four ground-based networks (North Alabama, Kennedy Space Center, Oklahoma, and Washington D.C.). While the PGLM is not a true proxy product, it is intended as a tool to train forecasters about total <span class="hlt">lightning</span> as well as foster discussions on product visualizations and incorporating GLM-resolution data into forecast operations. The PGLM has been used in 2010 and 2011 and is likely to remain the primary <span class="hlt">lightning</span> training tool for the GOES-R program for the near future. This presentation will emphasize the feedback received during the 2011 Spring Program. This will discuss several topics. Based on feedback</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120006543','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120006543"><span>Future Expansion of the <span class="hlt">Lightning</span> Surveillance System at the Kennedy Space Center and the Cape Canaveral Air Force Station, Florida, USA</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mata, C. T.; Wilson, J. G.</p> <p>2012-01-01</p> <p>The <span class="hlt">NASA</span> Kennedy Space Center (KSC) and the Air Force Eastern Range (ER) use data from two cloud-to-ground (CG) <span class="hlt">lightning</span> detection networks, the Cloud-to-Ground <span class="hlt">Lightning</span> Surveillance System (CGLSS) and the U.S. National <span class="hlt">Lightning</span> Detection Network (NLDN), and a volumetric mapping array, the <span class="hlt">lightning</span> detection and ranging II (LDAR II) system: These systems are used to monitor and characterize <span class="hlt">lightning</span> that is potentially hazardous to launch or ground operations and hardware. These systems are not perfect and both have documented missed <span class="hlt">lightning</span> events when compared to the existing <span class="hlt">lightning</span> surveillance system at Launch Complex 39B (LC39B). Because of this finding it is <span class="hlt">NASA</span>'s plan to install a <span class="hlt">lightning</span> surveillance system around each of the active launch pads sharing site locations and triggering capabilities when possible. This paper shows how the existing <span class="hlt">lightning</span> surveillance system at LC39B has performed in 2011 as well as the plan for the expansion around all active pads.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990109129&hterms=K2&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DK2','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990109129&hterms=K2&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DK2"><span>A Comparison between <span class="hlt">Lightning</span> Activity 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>Kevin, Driscoll T.; Hugh, Christian J.; Goodman, Steven J.</p> <p>1999-01-01</p> <p>A recent examination of data from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) and the TRMM Microwave <span class="hlt">Imager</span> (TMI) suggests that storm with the highest frequency of <span class="hlt">lightning</span> also possess the most pronounced microwave scattering signatures at 37 and 85 GHz. This study demonstrates a clear dependence between <span class="hlt">lightning</span> and the passive microwave measurements, and accentuates how direct the relationship really is between cloud ice and <span class="hlt">lightning</span> activity. In addition, the relationship between the quantity of ice content and the frequency of <span class="hlt">lightning</span> (not just the presence of <span class="hlt">lightning</span>) , is consistent throughout the seasons in a variety of regimes. Scatter plots will be presented which show the storm-averaged brightness temperatures as a function of the <span class="hlt">lightning</span> density of the storms (L/Area) . In the 85 GHz and 37 GHz scatter plots, the brightness temperature is presented in the form Tb = k1 x log10(L/Area) + k2, where the slope of the regression, k1, is 58 for the 85 GHz relationship and 30.7 for the 37 GHz relationship. The regression for both these fits showed a correlation of 0.76 (r2 = 0.58), which is quite promising considering the simple procedure used to make the comparisons, which have not yet even been corrected for the view angle differences between the instruments, or the polarization corrections in the microwave <span class="hlt">imager</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMAE24A..01L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMAE24A..01L"><span>Development and Application of a Low Frequency Near-Field Interferometric-TOA 3D <span class="hlt">Lightning</span> Mapping Array</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lyu, F.; Cummer, S. A.; Weinert, J. L.; McTague, L. E.; Solanki, R.; Barrett, J.</p> <p>2014-12-01</p> <p><span class="hlt">Lightning</span> processes radiated extremely wideband electromagnetic signals. <span class="hlt">Lightning</span> <span class="hlt">images</span> mapped by VHF interferometry and VHF time of arrival <span class="hlt">lightning</span> mapping arrays enable us to understand the <span class="hlt">lightning</span> in-cloud detail development during the extent of flash that can not always be captured by cameras because of the shield of cloud. <span class="hlt">Lightning</span> processes radiate electromagnetically over an extremely wide bandwidth, offering the possibility of multispectral <span class="hlt">lightning</span> radio <span class="hlt">imaging</span>. Low frequency signals are often used for <span class="hlt">lightning</span> detection, but usually only for ground point location or thunderstorm tracking. Some recent results have demonstrated <span class="hlt">lightning</span> LF 3D mapping of discrete <span class="hlt">lightning</span> pulses, but <span class="hlt">imaging</span> of continuous LF emissions have not been shown. In this work, we report a GPS-synchronized LF near field interferometric-TOA 3D <span class="hlt">lightning</span> mapping array applied to <span class="hlt">image</span> the development of <span class="hlt">lightning</span> flashes on second time scale. Cross-correlation, as used in broadband interferometry, is applied in our system to find windowed arrival time differences with sub-microsecond time resolution. However, because the sources are in the near field of the array, time of arrival processing is used to find the source locations with a typical precision of 100 meters. We show that this system <span class="hlt">images</span> the complete <span class="hlt">lightning</span> flash structure with thousands of LF sources for extensive flashes. Importantly, this system is able to map both continuous emissions like dart leaders, and bursty or discrete emissions. <span class="hlt">Lightning</span> stepped leader and dart leader propagation speeds are estimated to 0.56-2.5x105 m/s and 0.8-2.0x106 m/s respectively, which are consistent with previous reports. In many aspects our LF <span class="hlt">images</span> are remarkably similar to VHF <span class="hlt">lightning</span> mapping array <span class="hlt">images</span>, despite the 1000 times difference in frequency, which may suggest some special links between the LF and VHF emission during <span class="hlt">lightning</span> processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110008659','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110008659"><span>Exploring the Use of Radar for Physically-Based Nowcasting of <span class="hlt">Lightning</span> Cessation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz, Elise V.; Petersen, Walter A.; Carey, Lawrence D.</p> <p>2011-01-01</p> <p><span class="hlt">NASA</span>'s Marshall Space Flight Center and the University of Alabama in Huntsville (UAHuntsville) are collaborating with the 45th Weather Squadron (45WS) at Cape Canaveral Air Force Station (CCAFS) to enable improved nowcasting of <span class="hlt">lightning</span> cessation. This project centers on use of dual-polarimetric radar capabilities, and in particular, the new C-band dual polarimetric weather radar acquired by the 45WS. Special emphasis is placed on the development of a physically-based operational algorithm to predict <span class="hlt">lightning</span> cessation. While previous studies have developed statistically based <span class="hlt">lightning</span> cessation algorithms driven primarily by trending in the actual total <span class="hlt">lightning</span> flash rate, we believe that dual polarimetric radar variables offer the possibility to improve existing algorithms through the inclusion of physically meaningful trends reflecting interactions between in-cloud electric fields and ice-microphysics. Specifically, decades of polarimetric radar research using propagation differential phase has demonstrated the presence of distinct phase and ice crystal alignment signatures in the presence of strong electric fields associated with <span class="hlt">lightning</span>. One question yet to be addressed is: To what extent can propagation phase-based ice-crystal alignment signatures be used to nowcast the cessation of <span class="hlt">lightning</span> activity in a given storm? Accordingly, data from the UAHuntsville Advanced Radar for Meteorological and Operational Research (ARMOR) along with the <span class="hlt">NASA</span>-MSFC North Alabama <span class="hlt">Lightning</span> Mapping Array are used in this study to investigate the radar signatures present before and after <span class="hlt">lightning</span> cessation. Thus far our case study results suggest that the negative differential phase shift signature weakens and disappears after the analyzed storms ceased <span class="hlt">lightning</span> production (i.e., after the last <span class="hlt">lightning</span> flash occurred). This is a key observation because it suggests that while strong electric fields may still have been present, the <span class="hlt">lightning</span> cessation signature was</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=1022790','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=1022790"><span>Neurologic complications of <span class="hlt">lightning</span> injuries.</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Cherington, M; Yarnell, P R; London, S F</p> <p>1995-01-01</p> <p>Over the past ten years, we have cared for 13 patients who suffered serious neurologic complications after being struck by <span class="hlt">lightning</span>. The spectrum of neurologic lesions includes the entire neuraxis from the cerebral hemispheres to the peripheral nerves. We describe these various neurologic disorders with regard to the site of the lesion, severity of the deficit, and the outcome. Damage to the nervous system can be a serious problem for patients struck by <span class="hlt">lightning</span>. Fatalities are associated with hypoxic encephalopathy in patients who suffered cardiac arrests. Patients with spinal cord lesions are likely to have permanent sequelae and paralysis. New technology for detecting <span class="hlt">lightning</span> with wideband magnetic direction finders is useful in establishing <span class="hlt">lightning</span>-flash densities in each state. Florida and the Gulf Coast states have the highest densities. Colorado and the Rocky Mountain states have the next highest. <span class="hlt">Images</span> PMID:7785254</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/244930-high-speed-plasma-imaging-lightning-bolt','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/244930-high-speed-plasma-imaging-lightning-bolt"><span>High-speed plasma <span class="hlt">imaging</span>: A <span class="hlt">lightning</span> bolt</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>Wurden, G.A.; Whiteson, D.O.</p> <p></p> <p>Using a gated intensified digital Kodak Ektapro camera system, the authors captured a <span class="hlt">lightning</span> bolt at 1,000 frames per second, with 100-{micro}s exposure time on each consecutive frame. As a thunder storm approaches while darkness descended (7:50 pm) on July 21, 1994, they photographed <span class="hlt">lightning</span> bolts with an f22 105-mm lens and 100% gain on the intensified camera. This 15-frame sequence shows a cloud to ground stroke at a distance of about 1.5 km, which has a series of stepped leaders propagating downwards, following by the upward-propagating main return stroke.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/976609','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/976609"><span>Global optical <span class="hlt">lightning</span> flash rates determined with the Forte satellite</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>Light, T.; Davis, S. M.; Boeck, W. L.</p> <p>2003-01-01</p> <p>Using FORTE photodiode detector (PDD) observations of <span class="hlt">lightning</span>, we have determined the geographic distribution of nighttime flash rate density. We estimate the PDD flash detection efficiency to be 62% for total <span class="hlt">lightning</span> through comparison to <span class="hlt">lightning</span> observations by the TRMM satellite's <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS), using cases in which FORTE and TRMM viewed the same storm. We present here both seasonal and l,ot,al flash rate maps. We examine some characteristics of the optical emissions of <span class="hlt">lightning</span> in both high and low flash rate environments, and find that while <span class="hlt">lightning</span> occurs less frequently over ocean, oceanic <span class="hlt">lightning</span> flashes are somewhat moremore » powerful, on average, than those over land.« less</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_6");'>6</a></li> <li><a href="#" onclick='return showDiv("page_7");'>7</a></li> <li class="active"><span>8</span></li> <li><a href="#" onclick='return showDiv("page_9");'>9</a></li> <li><a href="#" onclick='return showDiv("page_10");'>10</a></li> <li><a href="#" onclick='return showDiv("page_25");'>»</a></li> </ul> </div> </div><!-- col-sm-12 --> </div><!-- row --> </div><!-- page_8 --> <div id="page_9" 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_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> </div> <div class="row"> <div class="col-sm-12"> <ol class="result-class" start="161"> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29527425','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29527425"><span>The Evolution and Structure of Extreme Optical <span class="hlt">Lightning</span> Flashes.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Peterson, Michael; Rudlosky, Scott; Deierling, Wiebke</p> <p>2017-12-27</p> <p>This study documents the composition, morphology, and motion of extreme optical <span class="hlt">lightning</span> flashes observed by the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS). The furthest separation of LIS events (groups) in any flash is 135 km (89 km), the flash with the largest footprint had an illuminated area of 10,604 km 2 , and the most dendritic flash has 234 visible branches. The longest-duration convective LIS flash lasted 28 s and is overgrouped and not physical. The longest-duration convective-to-stratiform propagating flash lasted 7.4 s, while the longest-duration entirely stratiform flash lasted 4.3 s. The longest series of nearly consecutive groups in time lasted 242 ms. The most radiant recorded LIS group (i.e., "superbolt") is 735 times more radiant than the average group. Factors that impact these optical measures of flash morphology and evolution are discussed. While it is apparent that LIS can record the horizontal development of the <span class="hlt">lightning</span> channel in some cases, radiative transfer within the cloud limits the flash extent and level of detail measured from orbit. These analyses nonetheless suggest that <span class="hlt">lightning</span> <span class="hlt">imagers</span> such as LIS and Geostationary <span class="hlt">Lightning</span> Mapper can complement ground-based <span class="hlt">lightning</span> locating systems for studying physical <span class="hlt">lightning</span> phenomena across large geospatial domains.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5843378','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5843378"><span>The Evolution and Structure of Extreme Optical <span class="hlt">Lightning</span> Flashes</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Peterson, Michael; Rudlosky, Scott; Deierling, Wiebke</p> <p>2018-01-01</p> <p>This study documents the composition, morphology, and motion of extreme optical <span class="hlt">lightning</span> flashes observed by the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS). The furthest separation of LIS events (groups) in any flash is 135 km (89 km), the flash with the largest footprint had an illuminated area of 10,604 km2, and the most dendritic flash has 234 visible branches. The longest-duration convective LIS flash lasted 28 s and is overgrouped and not physical. The longest-duration convective-to-stratiform propagating flash lasted 7.4 s, while the longest-duration entirely stratiform flash lasted 4.3 s. The longest series of nearly consecutive groups in time lasted 242 ms. The most radiant recorded LIS group (i.e., “superbolt”) is 735 times more radiant than the average group. Factors that impact these optical measures of flash morphology and evolution are discussed. While it is apparent that LIS can record the horizontal development of the <span class="hlt">lightning</span> channel in some cases, radiative transfer within the cloud limits the flash extent and level of detail measured from orbit. These analyses nonetheless suggest that <span class="hlt">lightning</span> <span class="hlt">imagers</span> such as LIS and Geostationary <span class="hlt">Lightning</span> Mapper can complement ground-based <span class="hlt">lightning</span> locating systems for studying physical <span class="hlt">lightning</span> phenomena across large geospatial domains. PMID:29527425</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016SPIE.9881E..19D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016SPIE.9881E..19D"><span><span class="hlt">Image</span> navigation and registration performance assessment tool set for the GOES-R Advanced Baseline <span class="hlt">Imager</span> and Geostationary <span class="hlt">Lightning</span> Mapper</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>De Luccia, Frank J.; Houchin, Scott; Porter, Brian C.; Graybill, Justin; Haas, Evan; Johnson, Patrick D.; Isaacson, Peter J.; Reth, Alan D.</p> <p>2016-05-01</p> <p>The GOES-R Flight Project has developed an <span class="hlt">Image</span> Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for measuring Advanced Baseline <span class="hlt">Imager</span> (ABI) and Geostationary <span class="hlt">Lightning</span> Mapper (GLM) INR performance metrics in the post-launch period for performance evaluation and long term monitoring. For ABI, these metrics are the 3-sigma errors in navigation (NAV), channel-to-channel registration (CCR), frame-to-frame registration (FFR), swath-to-swath registration (SSR), and within frame registration (WIFR) for the Level 1B <span class="hlt">image</span> products. For GLM, the single metric of interest is the 3-sigma error in the navigation of background <span class="hlt">images</span> (GLM NAV) used by the system to navigate <span class="hlt">lightning</span> strikes. 3-sigma errors are estimates of the 99. 73rd percentile of the errors accumulated over a 24 hour data collection period. IPATS utilizes a modular algorithmic design to allow user selection of data processing sequences optimized for generation of each INR metric. This novel modular approach minimizes duplication of common processing elements, thereby maximizing code efficiency and speed. Fast processing is essential given the large number of sub-<span class="hlt">image</span> registrations required to generate INR metrics for the many <span class="hlt">images</span> produced over a 24 hour evaluation period. Another aspect of the IPATS design that vastly reduces execution time is the off-line propagation of Landsat based truth <span class="hlt">images</span> to the fixed grid coordinates system for each of the three GOES-R satellite locations, operational East and West and initial checkout locations. This paper describes the algorithmic design and implementation of IPATS and provides preliminary test results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160004683','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160004683"><span><span class="hlt">Image</span> Navigation and Registration Performance Assessment Tool Set for the GOES-R Advanced Baseline <span class="hlt">Imager</span> and Geostationary <span class="hlt">Lightning</span> Mapper</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>De Luccia, Frank J.; Houchin, Scott; Porter, Brian C.; Graybill, Justin; Haas, Evan; Johnson, Patrick D.; Isaacson, Peter J.; Reth, Alan D.</p> <p>2016-01-01</p> <p>The GOES-R Flight Project has developed an <span class="hlt">Image</span> Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for measuring Advanced Baseline <span class="hlt">Imager</span> (ABI) and Geostationary <span class="hlt">Lightning</span> Mapper (GLM) INR performance metrics in the post-launch period for performance evaluation and long term monitoring. For ABI, these metrics are the 3-sigma errors in navigation (NAV), channel-to-channel registration (CCR), frame-to-frame registration (FFR), swath-to-swath registration (SSR), and within frame registration (WIFR) for the Level 1B <span class="hlt">image</span> products. For GLM, the single metric of interest is the 3-sigma error in the navigation of background <span class="hlt">images</span> (GLM NAV) used by the system to navigate <span class="hlt">lightning</span> strikes. 3-sigma errors are estimates of the 99.73rd percentile of the errors accumulated over a 24-hour data collection period. IPATS utilizes a modular algorithmic design to allow user selection of data processing sequences optimized for generation of each INR metric. This novel modular approach minimizes duplication of common processing elements, thereby maximizing code efficiency and speed. Fast processing is essential given the large number of sub-<span class="hlt">image</span> registrations required to generate INR metrics for the many <span class="hlt">images</span> produced over a 24-hour evaluation period. Another aspect of the IPATS design that vastly reduces execution time is the off-line propagation of Landsat based truth <span class="hlt">images</span> to the fixed grid coordinates system for each of the three GOES-R satellite locations, operational East and West and initial checkout locations. This paper describes the algorithmic design and implementation of IPATS and provides preliminary test results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMAE12A..05A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMAE12A..05A"><span>Where are the <span class="hlt">lightning</span> hotspots on Earth?</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Albrecht, R. I.; Goodman, S. J.; Buechler, D. E.; Blakeslee, R. J.; Christian, H. J., Jr.</p> <p>2015-12-01</p> <p>The first <span class="hlt">lightning</span> observations from space date from the early 1960s and more than a dozen spacecraft orbiting the Earth have flown instruments that recorded <span class="hlt">lightning</span> signals from thunderstorms over the past 45 years. In this respect, the Tropical Rainfall Measuring Mission (TRMM) <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS), having just completed its mission (1997-2015), provides the longest and best total (intracloud and cloud-to-ground) <span class="hlt">lightning</span> data base over the tropics.We present a 16 year (1998-2013) reprocessed data set to create very high resolution (0.1°) TRMM LIS total <span class="hlt">lightning</span> climatology. This detailed very high resolution climatology is used to identify the Earth's <span class="hlt">lightning</span> hotspots and other regional features. Earlier studies located the <span class="hlt">lightning</span> hotspot within the Congo Basin in Africa, but our very high resolution <span class="hlt">lightning</span> climatology found that the highest <span class="hlt">lightning</span> flash rate on Earth actually occurs in Venezuela over Lake Maracaibo, with a distinct maximum during the night. The higher resolution dataset clearly shows that similar phenomenon also occurs over other inland lakes with similar conditions, i.e., locally forced convergent flow over a warm lake surface which drives deep nocturnal convection. Although Africa does not have the top <span class="hlt">lightning</span> hotspot, it comes in a close second and it is the continent with the highest number of <span class="hlt">lightning</span> hotspots, followed by Asia, South America, North America, and Oceania. We also present climatological maps for local hour and month of <span class="hlt">lightning</span> maxima, along with a ranking of the highest five hundred <span class="hlt">lightning</span> maxima, focusing discussion on each continent's 10 highest <span class="hlt">lightning</span> maxima. Most of the highest continental maxima are located near major mountain ranges, revealing the importance of local topography in thunderstorm development. These results are especially relevant in anticipation of the upcoming availability of continuous total <span class="hlt">lightning</span> observations from the Geostationary <span class="hlt">Lightning</span> Mapping (GLM</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990079433&hterms=rain+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Drain%2Bstorm','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990079433&hterms=rain+storm&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Drain%2Bstorm"><span>Characterizing the Relationships Among <span class="hlt">Lightning</span> and Storm Parameters: <span class="hlt">Lightning</span> as a Proxy Variable</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, S. J.; Raghavan, R.; William, E.; Weber, M.; Boldi, B.; Matlin, A.; Wolfson, M.; Hodanish, S.; Sharp. D.</p> <p>1997-01-01</p> <p>We have gained important insights from prior studies that have suggested relationships between <span class="hlt">lightning</span> and storm growth, decay, convective rain flux, vertical distribution of storm mass and echo volume in the region, and storm energetics. A study was initiated in the Summer of 1996 to determine how total (in-cloud plus ground) <span class="hlt">lightning</span> observations might provide added knowledge to the forecaster in the determination and identification of severe thunderstorms and weather hazards in real-time. The Melbourne Weather Office was selected as a primary site to conduct this study because Melbourne is the only site in the world with continuous and open access to total <span class="hlt">lightning</span> (LDAR) data and a Doppler (WSR-88D) radar. A <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor Data Applications Demonstration (LISDAD) system was integrated into the forecaster's workstation during the Summer 1996 to allow the forecaster to interact in real-time with the multi-sensor data being displayed. LISDAD currently ingests LDAR data, the cloud-to-ground National <span class="hlt">Lightning</span> Detection Network (NLDN) data, and the Melbourne radar data in f real-time. The interactive features provide the duty forecaster the ability to perform quick diagnostics on storm cells of interest. Upon selection of a storm cell, a pop-up box appears displaying the time-history of various storm parameters (e.g., maximum radar reflectivity, height of maximum reflectivity, echo-top height, NLDN and LDAR <span class="hlt">lightning</span> flash rates, storm-based vertically integrated liquid water content). This product is archived to aid on detailed post-analysis.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090025957','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090025957"><span>Partitioning the LIS/OTD <span class="hlt">Lightning</span> Climatological Dataset into Separate Ground and Cloud Flash Distributions</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, W. J.; Solarkiewicz, R. J.</p> <p>2009-01-01</p> <p>Presently, it is not well understood how to best model nitrogen oxides (NOx) emissions from <span class="hlt">lightning</span> because <span class="hlt">lightning</span> is highly variable. Peak current, channel length, channel altitude, stroke multiplicity, and the number of flashes that occur in a particular region (i.e., flash density) all influence the amount of <span class="hlt">lightning</span> NOx produced. Moreover, these 5 variables are not the same for ground and cloud flashes; e.g., cloud flashes normally have lower peak currents, higher altitudes, and higher flash densities than ground flashes [see (Koshak, 2009) for additional details]. Because the existing satellite observations of <span class="hlt">lightning</span> (Fig. 1) from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor/Optical Transient Detector (LIS/OTD) do not distinguish between ground and cloud fashes, which produce different amounts of NOx, it is very difficult to accurately account for the regional/global production of <span class="hlt">lightning</span> NOx. Hence, the ability to partition the LIS/OTD <span class="hlt">lightning</span> climatology into separate ground and cloud flash distributions would substantially benefit the atmospheric chemistry modeling community. NOx indirectly influences climate because it controls the concentration of ozone and hydroxyl radicals in the atmosphere. The importance of <span class="hlt">lightning</span>-produced NOx is empasized throughout the scientific literature (see for example, Huntrieser et al. 1998). In fact, <span class="hlt">lightning</span> is the most important NOx source in the upper troposphere with a global production rate estimated to vary between 2 and 20 Tg (N)yr(sup -1) (Lee et al., 1997), with more recent estimates of about 6 Tg(N)yr(sup -1) (Martin et al., 2007). In order to make accurate predictions, global chemistry/climate models (as well as regional air quality modells) must more accurately account for the effects of <span class="hlt">lightning</span> NOx. In particular, the <span class="hlt">NASA</span> Goddard Institute for Space Studies (GISS) Model E (Schmidt et al., 2005) and the GEOS-CHEM global chemical transport model (Bey et al., 2001) would each benefit from a partitioning of the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120001448','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120001448"><span>Exploring the Use of Radar for a Physically Based <span class="hlt">Lightning</span> Cessation Nowcasting Tool</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz, Elise V.; Petersen, Walter A.; Carey, Lawrence D.</p> <p>2011-01-01</p> <p><span class="hlt">NASA</span> s Marshall Space Flight Center (MSFC) and the University of Alabama in Huntsville (UAHuntsville) are collaborating with the 45th Weather Squadron (45WS) at Cape Canaveral Air Force Station (CCAFS) to enable improved nowcasting of <span class="hlt">lightning</span> cessation. This project centers on use of dual-polarimetric radar capabilities, and in particular, the new C-band dual-polarimetric weather radar acquired by the 45WS. Special emphasis is placed on the development of a physically based operational algorithm to predict <span class="hlt">lightning</span> cessation. While previous studies have developed statistically based <span class="hlt">lightning</span> cessation algorithms, we believe that dual-polarimetric radar variables offer the possibility to improve existing algorithms through the inclusion of physically meaningful trends reflecting interactions between in-cloud electric fields and hydrometeors. Specifically, decades of polarimetric radar research using propagation differential phase has demonstrated the presence of distinct phase and ice crystal alignment signatures in the presence of strong electric fields associated with <span class="hlt">lightning</span>. One question yet to be addressed is: To what extent can these ice-crystal alignment signatures be used to nowcast the cessation of <span class="hlt">lightning</span> activity in a given storm? Accordingly, data from the UAHuntsville Advanced Radar for Meteorological and Operational Research (ARMOR) along with the <span class="hlt">NASA</span>-MSFC North Alabama <span class="hlt">Lightning</span> Mapping Array are used in this study to investigate the radar signatures present before and after <span class="hlt">lightning</span> cessation. Thus far, our case study results suggest that the negative differential phase shift signature weakens and disappears after the analyzed storms ceased <span class="hlt">lightning</span> production (i.e., after the last <span class="hlt">lightning</span> flash occurred). This is a key observation because it suggests that while strong electric fields may still have been present, the <span class="hlt">lightning</span> cessation signature encompassed the period of the polarimetric negative phase shift signature. To the extent</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014GeoRL..41.7777L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014GeoRL..41.7777L"><span>A low-frequency near-field interferometric-TOA 3-D <span class="hlt">Lightning</span> Mapping Array</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lyu, Fanchao; Cummer, Steven A.; Solanki, Rahulkumar; Weinert, Joel; McTague, Lindsay; Katko, Alex; Barrett, John; Zigoneanu, Lucian; Xie, Yangbo; Wang, Wenqi</p> <p>2014-11-01</p> <p>We report on the development of an easily deployable LF near-field interferometric-time of arrival (TOA) 3-D <span class="hlt">Lightning</span> Mapping Array applied to <span class="hlt">imaging</span> of entire <span class="hlt">lightning</span> flashes. An interferometric cross-correlation technique is applied in our system to compute windowed two-sensor time differences with submicrosecond time resolution before TOA is used for source location. Compared to previously reported LF <span class="hlt">lightning</span> location systems, our system captures many more LF sources. This is due mainly to the improved mapping of continuous <span class="hlt">lightning</span> processes by using this type of hybrid interferometry/TOA processing method. We show with five station measurements that the array detects and maps different <span class="hlt">lightning</span> processes, such as stepped and dart leaders, during both in-cloud and cloud-to-ground flashes. <span class="hlt">Lightning</span> <span class="hlt">images</span> mapped by our LF system are remarkably similar to those created by VHF mapping systems, which may suggest some special links between LF and VHF emission during <span class="hlt">lightning</span> processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018HGSS....9...79D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018HGSS....9...79D"><span>An early record of ball <span class="hlt">lightning</span>: Oliva (Spain), 1619</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Domínguez-Castro, Fernando</p> <p>2018-05-01</p> <p>In a primary documentary source we found an early record of ball <span class="hlt">lightning</span> (BL), which was observed in the monastery of Pi (Oliva, southeastern Spain) on 18 October 1619. The ball <span class="hlt">lightning</span> was observed by at least three people and was described as a <q>rolling burning vessel</q> and a <q>ball of fire</q>. The ball <span class="hlt">lightning</span> appeared following a <span class="hlt">lightning</span> flash, showed a mainly horizontal motion, crossed a wall, smudged an <span class="hlt">image</span> of the Lady of Rebollet (then known as Lady of Pi) and burnt her ruff, and overturned a cross.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMAE22B..04W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMAE22B..04W"><span>a review and an update on the winter <span class="hlt">lightning</span> that occurred on a rotating windmill and its standalone <span class="hlt">lightning</span> protection tower</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, D.; Takagi, N.</p> <p>2012-12-01</p> <p>We have observed the <span class="hlt">lightning</span> occurred on a 100 m high windmill and its 105 m high standalone <span class="hlt">lightning</span>-protection tower about 45 m separated from the windmill in the Hokuriku area of Japan for 7 consecutive winter seasons from 2005 to 2012. Our main observation items include: (1) <span class="hlt">Lightning</span> current at the bottom of both the windmill and the tower. (2) Thunderstorm electric fields and the electric field changes caused by <span class="hlt">lightning</span> at multiple sites. (3) Optical <span class="hlt">images</span> by both low and high speed <span class="hlt">imaging</span> systems. During the 7 winter seasons, over 100 <span class="hlt">lightning</span> have hit either the tower or the windmill or both. All the <span class="hlt">lightning</span> but two observed are of upward <span class="hlt">lightning</span>. Those upward <span class="hlt">lightning</span> can be sub-classified into self-initiated types and other-triggered types according to whether there is a discharge activity prior to the upward leaders or not. Self-initiated and other-triggered upward <span class="hlt">lightning</span> tend to have biased percentages in terms of striking locations (windmill versus tower) and thunderstorm types (active versus weak). All the upward <span class="hlt">lightning</span> but one contained only initial continuous current stages. In the presentation, we will first give a review on those results we have reported before [1-3]. As an update, we will report the following results. (1) The electric field change required for triggering a negative upward leader is usually more than twice bigger than that for triggering a positive upward leader. (2) An electric current pulse with an amplitude of several tens of Amperes along a high structure has been observed to occur in response to a rapid electric change generated by either a nearby return stroke or K-change. References [1] D.Wang, N.Takagi, T.Watanebe, H. Sakurano, M. Hashimoto, Observed characteristics of upward leaders that are initiated from a windmill and its <span class="hlt">lightning</span> protection tower, Geophys. Res. Lett., Vol.35, L02803, doi:10.1029/2007GL032136, 2008. [2] W. Lu, D.Wang, Y. Zhang and N. Takagi, Two associated upward <span class="hlt">lightning</span> flashes</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19920006635','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19920006635"><span>Data simulation for the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boeck, William L.</p> <p>1991-01-01</p> <p>This project aims to build a data analysis system that will utilize existing video tape scenes of <span class="hlt">lightning</span> as viewed from space. The resultant data will be used for the design and development of the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) software and algorithm analysis. The desire for statistically significant metrics implies that a large data set needs to be analyzed. Before 1990 the quality and quantity of video was insufficient to build a usable data set. At this point in time, there is usable data from missions STS-34, STS-32, STS-31, STS-41, STS-37, and STS-39. During the summer of 1990, a manual analysis system was developed to demonstrate that the video analysis is feasible and to identify techniques to deduce information that was not directly available. Because the closed circuit television system used on the space shuttle was intended for documentary TV, the current value of the camera focal length and pointing orientation, which are needed for photoanalysis, are not included in the system data. A large effort was needed to discover ancillary data sources as well as develop indirect methods to estimate the necessary parameters. Any data system coping with full motion video faces an enormous bottleneck produced by the large data production rate and the need to move and store the digitized <span class="hlt">images</span>. The manual system bypassed the video digitizing bottleneck by using a genlock to superimpose pixel coordinates on full motion video. Because the data set had to be obtained point by point by a human operating a computer mouse, the data output rate was small. The loan and subsequent acquisition of a Abekas digital frame store with a real time digitizer moved the bottleneck from data acquisition to a problem of data transfer and storage. The semi-automated analysis procedure was developed using existing equipment and is described. A fully automated system is described in the hope that the components may come on the market at reasonable prices in the next few years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/26873252','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/26873252"><span>[Neurological diseases after <span class="hlt">lightning</span> strike : <span class="hlt">Lightning</span> strikes twice].</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Gruhn, K M; Knossalla, Frauke; Schwenkreis, Peter; Hamsen, Uwe; Schildhauer, Thomas A; Tegenthoff, Martin; Sczesny-Kaiser, Matthias</p> <p>2016-06-01</p> <p><span class="hlt">Lightning</span> strikes rarely occur but 85 % of patients have <span class="hlt">lightning</span>-related neurological complications. This report provides an overview about different modes of energy transfer and neurological conditions related to <span class="hlt">lightning</span> strikes. Moreover, two case reports demonstrate the importance of interdisciplinary treatment and the spectrum of neurological complications after <span class="hlt">lightning</span> strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910023313','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910023313"><span>Launch pad <span class="hlt">lightning</span> protection effectiveness</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stahmann, James R.</p> <p>1991-01-01</p> <p>Using the striking distance theory that <span class="hlt">lightning</span> leaders will strike the nearest grounded point on their last jump to earth corresponding to the striking distance, the probability of striking a point on a structure in the presence of other points can be estimated. The <span class="hlt">lightning</span> strokes are divided into deciles having an average peak current and striking distance. The striking distances are used as radii from the points to generate windows of approach through which the leader must pass to reach a designated point. The projections of the windows on a horizontal plane as they are rotated through all possible angles of approach define an area that can be multiplied by the decile stroke density to arrive at the probability of strokes with the window average striking distance. The sum of all decile probabilities gives the cumulative probability for all strokes. The techniques can be applied to <span class="hlt">NASA</span>-Kennedy launch pad structures to estimate the <span class="hlt">lightning</span> protection effectiveness for the crane, gaseous oxygen vent arm, and other points. Streamers from sharp points on the structure provide protection for surfaces having large radii of curvature. The effects of nearby structures can also be estimated.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19800022141','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19800022141"><span>Analysis of electrical transients created by <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Nanevicz, J. E.; Vance, E. F.</p> <p>1980-01-01</p> <p>A series of flight tests was conducted using a specially-instrumented <span class="hlt">NASA</span> Learjet to study the electrical transients created on an aircraft by nearby <span class="hlt">lightning</span>. The instrumentation included provisions for the time-domain and frequency-domain recording of the electrical signals induced in sensors located both on the exterior and on the interior of the aircraft. The design and calibration of the sensors and associated measuring systems is described together with the results of the flight test measurements. The results indicate that the concept of providing instrumentation to follow the <span class="hlt">lightning</span> signal from propagation field, to aircraft skin current, to current on interior wiring is basically sound. The results of the measurement indicate that the high frequency signals associated with <span class="hlt">lightning</span> stroke precursor activity are important in generating electromagnetic noise on the interior of the aircraft. Indeed, the signals produced by the precursors are often of higher amplitude and of longer duration that the pulse produced by the main return stroke.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMAE23B0319R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMAE23B0319R"><span>The Colorado <span class="hlt">Lightning</span> Mapping Array</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rison, W.; Krehbiel, P. R.; Thomas, R. J.; Rodeheffer, D.; Fuchs, B.</p> <p>2012-12-01</p> <p>A fifteen station <span class="hlt">Lightning</span> Mapping Array (LMA) was installed in northern Colorado in the spring of 2012. While the driving force for the array was to produce 3-dimensional <span class="hlt">lightning</span> data to support the Deep Convective Clouds and Chemistry (DC3) Experiment (Barth, this conference), data from the array are being used for several other projects. These include: electrification studies in conjunction with the CSU CHILL radar (Lang et al, this conference); observations of the parent <span class="hlt">lightning</span> discharges of sprites (Lyons et al, this conference); trying to detect upward discharges triggered by wind turbines, characterizing conditions in which aircraft flying through clouds produce discharges which can be detected by the LMA, and other opportunities, such as observations of <span class="hlt">lightning</span> in pyrocumulus clouds produced by the High Park Fire west of Fort Collins, CO. All the COLMA stations are solar-powered, and use broadband cellular modems for data communications. This makes the stations completely self-contained and autonomous, allowing a station to be installed anywhere a cellular signal is available. Because most of the stations were installed well away from anthropogenic noise sources, the COLMA is very sensitive. This is evidenced by the numerous plane tracks detected in its the vicinity. The diameter, D, of the COLMA is about 100 km, significantly larger than other LMAs. Because the error in the radial distance r is proportional to (r/D)2, and the error in the altitude z is proportional to (z/D)2, the larger array diameter greatly expands the usable range of the COLMA. The COLMA is able to detect and characterize lighting flashes to a distance of about 350 km from the array center. In addition to a web-based display (<span class="hlt">lightning</span>.nmt.edu/colma), geo-referenced <span class="hlt">images</span> are produced and updated at one-minute intervals. These geo-referenced <span class="hlt">images</span> can be used to overlay the real-time <span class="hlt">lightning</span> data on Google Earth and other mapping software. These displays were used by the DC3</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160014743','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160014743"><span>Preparations for Integrating Space-Based Total <span class="hlt">Lightning</span> Observations into Forecast Operations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Fuell, Kevin K.; Molthan, Andrew L.</p> <p>2016-01-01</p> <p><span class="hlt">NASA</span>'s Short-term Prediction Research and Transition (SPoRT) Center has been a leader in collaborating with the United States National Weather Service (NWS) offices to integrate ground-based total <span class="hlt">lightning</span> (intra-cloud and cloud-to-ground) observations into the real-time operational environment. For much of these collaborations, the emphasis has been on training, dissemination of data to the NWS AWIPS system, and focusing on the utility of these data in the warning decision support process. A shift away from this paradigm has occurred more recently for several reasons. For one, SPoRT's collaborations have expanded to new partners, including emergency managers and the aviation community. Additionally, and most importantly, is the impending launch of the GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM). This has led to collaborative efforts to focus on additional forecast needs, new data displays, develop training for GLM uses based on the lessons learned from ground-based <span class="hlt">lightning</span> mapping arrays, and ways to better relate total <span class="hlt">lightning</span> data to other meteorological parameters. This presentation will focus on these efforts to prepare the operational end user community for GLM with an eye towards sharing lessons learned as EUMETSAT prepares for the Meteosat Third Generation <span class="hlt">Lightning</span> <span class="hlt">Imager</span>. This will focus on both software and training needs. In particular, SPoRT has worked closely with the Meteorological Development Laboratory to create the total <span class="hlt">lightning</span> tracking tool. This software allows for NWS forecasters to manually track storms of interest and display a time series trend of observations. This tool also has been expanded to work on any gridded data set allowing for easy visual comparisons of multiple parameters in addition to total <span class="hlt">lightning</span>. A new web display has been developed for the ground-based observations that can be easily extended to satellite observations. This paves the way for new collaborations outside of the NWS, both domestically and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20080002889&hterms=nature&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dnature','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20080002889&hterms=nature&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dnature"><span><span class="hlt">Lightning</span>: Nature's Probe of Severe Weather for Research and Operations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Blakeslee, R.J.</p> <p>2007-01-01</p> <p><span class="hlt">Lightning</span>, the energetic and broadband electrical discharge produced by thunderstorms, provides a natural remote sensing signal for the study of severe storms and related phenomena on global, regional and local scales. Using this strong signal- one of nature's own probes of severe weather -<span class="hlt">lightning</span> measurements prove to be straightforward and take advantage of a variety of measurement techniques that have advanced considerably in recent years. We briefly review some of the leading <span class="hlt">lightning</span> detection systems including satellite-based optical detectors such as the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor, and ground-based radio frequency systems such as Vaisala's National <span class="hlt">Lightning</span> Detection Network (NLDN), long range <span class="hlt">lightning</span> detection systems, and the <span class="hlt">Lightning</span> Mapping Array (LMA) networks. In addition, we examine some of the exciting new research results and operational capabilities (e.g., shortened tornado warning lead times) derived from these observations. Finally we look forward to the next measurement advance - <span class="hlt">lightning</span> observations from geostationary orbit.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090017685&hterms=information+technology+trend&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dinformation%2Btechnology%2Btrend','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090017685&hterms=information+technology+trend&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dinformation%2Btechnology%2Btrend"><span>An Operational Perspective of Total <span class="hlt">Lightning</span> Information</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Nadler, David J.; Darden, Christopher B.; Stano, Geoffrey; Buechler, Dennis E.</p> <p>2009-01-01</p> <p>The close and productive collaborations between the NWS Warning and Forecast Office, the Short Term Prediction and Research Transition Center at <span class="hlt">NASA</span> Marshall Space Flight Center and the University of Alabama in Huntsville have provided a unique opportunity for science sharing and technology transfer. One significant technology transfer that has provided immediate benefits to NWS forecast and warning operations is the use of data from the North Alabama <span class="hlt">Lightning</span> Mapping Array. This network consists of ten VHF receivers deployed across northern Alabama and a base station located at the National Space Science and Technology Center. Preliminary investigations done at WFO Huntsville, along with other similar total <span class="hlt">lightning</span> networks across the country, have shown distinct correlations between the time rate-of-change of total <span class="hlt">lightning</span> and trends in intensity/severity of the parent convective cell. Since May 2003 when WFO HUN began receiving these data - in conjunction with other more traditional remotely sensed data (radar, satellite, and surface observations) -- have improved the situational awareness of the WFO staff. The use of total <span class="hlt">lightning</span> information, either from current ground based systems or future space borne instrumentation, may substantially contribute to the NWS mission, by enhancing severe weather warning and decision-making processes. Operational use of the data has been maximized at WFO Huntsville through a process that includes forecaster training, product implementation, and post event analysis and assessments. Since receiving these data, over 50 surveys have been completed highlighting the use of total <span class="hlt">lightning</span> information during significant events across the Tennessee Valley. In addition, around 150 specific cases of interest have been archived for collaborative post storm analysis. From these datasets, detailed trending information from radar and total <span class="hlt">lightning</span> can be compared to corresponding damage reports. This presentation will emphasize</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100026043&hterms=under+armor&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dunder%2Barmor','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100026043&hterms=under+armor&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dunder%2Barmor"><span>Exploring a Physically Based Tool for <span class="hlt">Lightning</span> Cessation: Preliminary Results</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz, Elsie V.; Petersen, Walter A.; Carey, Lawrence D.; Buechler, Dennis E.; Gatlin, Patrick N.</p> <p>2010-01-01</p> <p>The University of Alabama in Huntsville (UAHuntsville) and <span class="hlt">NASA</span> s Marshall Space Flight Center are collaborating with the 45th Weather Squadron (45WS) at Cape Canaveral Air Force Station (CCAFS) to enable improved nowcasting of <span class="hlt">lightning</span> cessation. The project centers on use of dual-polarimetric radar capabilities, and in particular, the new C-band dual-polarimetric weather radar acquired by the 45WS. Special emphasis is placed on the development of a physically based operational algorithm to predict <span class="hlt">lightning</span> cessation. While previous studies have developed statistically based <span class="hlt">lightning</span> cessation algorithms, we believe that dual-polarimetric radar variables offer the possibility to improve existing algorithms through the inclusion of physically meaningful trends reflecting interactions between in-cloud electric fields and microphysics. Specifically, decades of polarimetric radar research using propagation differential phase has demonstrated the presence of distinct phase and ice crystal alignment signatures in the presence of strong electric fields associated with <span class="hlt">lightning</span>. One question yet to be addressed is: To what extent can these ice-crystal alignment signatures be used to nowcast the cessation of <span class="hlt">lightning</span> activity in a given storm? Accordingly, data from the UAHuntsville Advanced Radar for Meteorological and Operational Research (ARMOR) along with the North Alabama <span class="hlt">Lightning</span> Mapping Array are used in this study to investigate the radar signatures present before and after <span class="hlt">lightning</span> cessation. A summary of preliminary results will be presented.</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://hdl.handle.net/2060/20030064172','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030064172"><span><span class="hlt">NASA</span> Vision. Volume 1, No. 4</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>2003-01-01</p> <p>Contents in this newsletter include the following: Honor award ceremony. <span class="hlt">NASA</span> robotic geologist named Spirit began its seven-month journey to Mars. Around the Centers. <span class="hlt">NASA</span> web site wins Webby Award. Global garden. Grows greener. <span class="hlt">NASA</span> newest UAV makes successful flight. Summer interns join the <span class="hlt">NASA</span> team. <span class="hlt">NASA</span> maps bolts of <span class="hlt">lightning</span>. Monumental tribute. Secret lives of galaxies unveiled in deep survey. New program sends nation's teachers "Back to school".</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140007286','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140007286"><span>A Total <span class="hlt">Lightning</span> Perspective of the 20 May 2013 Moore, Oklahoma Supercell</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Schultz, Christopher J.; Carey, Lawrence D.; MacGorman, Don R.; Calhoun, Kristin M.</p> <p>2014-01-01</p> <p>In the early afternoon of 20 May 2013, a storm initiated to the west-southwest of Newcastle, Oklahoma. This storm would rapidly intensify into the parent supercell of the tornado that struck the city of Moore, Oklahoma. This article describes what contributions total <span class="hlt">lightning</span> observations from the Oklahoma <span class="hlt">Lightning</span> Mapping Array could provide to operational forecasters had these observations been available in real-time. This effort includes a focus on the GOES-R pseudo-geostationary <span class="hlt">lightning</span> mapper demonstration product as well as the <span class="hlt">NASA</span> SPoRT / Meteorological Development Laboratory's total <span class="hlt">lightning</span> tracking tool. These observations and tools identified several contributions. Two distinct <span class="hlt">lightning</span> jumps at 1908 and 1928 UTC provided a lead time of 19 minutes ahead of severe hail and 26 minutes ahead of the Moore, Oklahoma tornado's touchdown. These observations provide strong situational awareness to forecasters, as the <span class="hlt">lightning</span> jumps are related to the rapid strengthening of the storm's updraft and mesocyclone and serve as a precursor to the stretching of the storm vortex ahead severe weather.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE42A..01C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE42A..01C"><span>Fifty Years of <span class="hlt">Lightning</span> Observations from Space</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Christian, H. J., Jr.</p> <p>2017-12-01</p> <p>Some of the earliest satellites, starting with OSO (1965), ARIEL (1967), and RAE (1968), detected <span class="hlt">lightning</span> using either optical and RF sensors, although that was not their intent. One of the earliest instruments designed to detect <span class="hlt">lightning</span> was the PBE (1977). The use of space to study <span class="hlt">lightning</span> activity has exploded since these early days. The advent of focal-plane <span class="hlt">imaging</span> arrays made it possible to develop high performance optical <span class="hlt">lightning</span> sensors. Prior to the use of charged-coupled devices (CCD), most space-based <span class="hlt">lightning</span> sensors used only a few photo-diodes, which limited the location accuracy and detection efficiency (DE) of the instruments. With CCDs, one can limit the field of view of each detector (pixel), and thus improve the signal to noise ratio over single-detectors that summed the light reflected from many clouds with the <span class="hlt">lightning</span> produced by a single cloud. This pixelization enabled daytime DE to increase from a few percent to close to 90%. The OTD (1995), and the LIS (1997), were the first <span class="hlt">lightning</span> sensors to utilize focal-plane arrays. Together they detected global <span class="hlt">lightning</span> activity for more than twenty years, providing the first detailed information on the distribution of global <span class="hlt">lightning</span> and its variability. The FORTE satellite was launched shortly after LIS, and became the first dedicated satellite to simultaneously measure RF and optical <span class="hlt">lightning</span> emissions. It too used a CCD focal plane to detect and locate <span class="hlt">lightning</span>. In November 2016, the GLM became the first <span class="hlt">lightning</span> instrument in geostationary orbit. Shortly thereafter, China placed its GLI in orbit. <span class="hlt">Lightning</span> sensors in geostationary orbit significantly increase the value of space-based observations. For the first time, <span class="hlt">lightning</span> activity can be monitored continuously, over large areas of the Earth with high, uniform DE and location accuracy. In addition to observing standard <span class="hlt">lightning</span>, a number of sensors have been placed in orbit to detect transient luminous events and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150002157','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150002157"><span>Expanding the Operational Use of Total <span class="hlt">Lightning</span> Ahead of GOES-R</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Wood, Lance; Garner, Tim; Nunez, Roland; Kann, Deirdre; Reynolds, James; Rydell, Nezette; Cox, Rob; Bobb, William R.</p> <p>2015-01-01</p> <p><span class="hlt">NASA</span>'s Short-term Prediction Research and Transition Center (SPoRT) has been transitioning real-time total <span class="hlt">lightning</span> observations from ground-based <span class="hlt">lightning</span> mapping arrays since 2003. This initial effort was with the local Weather Forecast Offices (WFO) that could use the North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA). These early collaborations established a strong interest in the use of total <span class="hlt">lightning</span> for WFO operations. In particular the focus started with warning decision support, but has since expanded to include impact-based decision support and <span class="hlt">lightning</span> safety. SPoRT has used its experience to establish connections with new <span class="hlt">lightning</span> mapping arrays as they become available. The GOES-R / JPSS Visiting Scientist Program has enabled SPoRT to conduct visits to new partners and expand the number of operational users with access to total <span class="hlt">lightning</span> observations. In early 2014, SPoRT conducted the most recent visiting scientist trips to meet with forecast offices that will used the Colorado, Houston, and Langmuir Lab (New Mexico) <span class="hlt">lightning</span> mapping arrays. In addition, SPoRT met with the corresponding Center Weather Service Units (CWSUs) to expand collaborations with the aviation community. These visits were an opportunity to learn about the forecast needs of each office visited as well as to provide on-site training for the use of total <span class="hlt">lightning</span>, setting the stage for a real-time assessment during May-July 2014. With five <span class="hlt">lightning</span> mapping arrays covering multiple geographic locations, the 2014 assessment has demonstrated numerous uses of total <span class="hlt">lightning</span> in varying situations. Several highlights include a much broader use of total <span class="hlt">lightning</span> for impact-based decision support ranging from airport weather warnings, supporting fire crews, and protecting large outdoor events. The inclusion of the CWSUs has broadened the operational scope of total <span class="hlt">lightning</span>, demonstrating how these data can support air traffic management, particularly in the Terminal Radar Approach</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040170489&hterms=Atlantic+Forest&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DAtlantic%2BForest','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040170489&hterms=Atlantic+Forest&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DAtlantic%2BForest"><span>The GOES-R <span class="hlt">Lightning</span> Mapper Sensor</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Buechler, Dennis; Christian, Hugh; Goodman, Steve</p> <p>2004-01-01</p> <p>The <span class="hlt">Lightning</span> Mapper Sensor on GOES-R builds on previous measurements of <span class="hlt">lightning</span> from low earth orbit by the OTD (Optical Transient Detector) and LIS (<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor) sensors. Unlike observations from low earth orbit, the GOES-R platform will allow continuous monitoring of <span class="hlt">lightning</span> activity over the Continental United States and southern Canada, Central and South America, and portions of the Atlantic and Pacific Oceans. The LMS will detect total (cloud-to-ground and intracloud) <span class="hlt">lightning</span> at storm scale resolution (approx. 8 km) using a highly sensitive Charge Coupled Device (CCD) detector array. Discrimination between <span class="hlt">lightning</span> optical transients and a bright sunlit background scene is accomplished by employing spectral, spatial, and temporal filtering along with a background subtraction technique. The result is 24 hour detection capability of total <span class="hlt">lightning</span>. These total <span class="hlt">lightning</span> observations can be made available to users within about 20 seconds. Research indicates a number of ways that total <span class="hlt">lightning</span> observations from LMS could benefit operational activities, including 1) potential increases in lead times and reduced false alarms for severe thunderstorm and tornado Warnings, 2) improved routing of &rail around thunderstorms, 3) support for spacecraft launches and landings, 4) improved ability to monitor tropical cyclone intensity, 5) ability to monitor thunderstorm intensification/weakening during radar outages or where radar coverage is poor, 6) better identification of deep convection for the initialization of numerical prediction models, 7) improved forest fire forecasts, 8) identification of convective initiation, 9) identification of heavy convective snowfall, and 10) enhanced temporal resolution of storm evolution (1 minute) than is available from radar observations. Total <span class="hlt">lightning</span> data has been used in an operational environment since July 2003 at the Huntsville, Alabama National Weather Service office. Total <span class="hlt">lightning</span> measurements are</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160000240','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160000240"><span>An Integrated 0-1 Hour First-Flash <span class="hlt">Lightning</span> Nowcasting, <span class="hlt">Lightning</span> Amount and <span class="hlt">Lightning</span> Jump Warning Capability</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mecikalski, John; Jewett, Chris; Carey, Larry; Zavodsky, Brad; Stano, Geoffrey; Chronis, Themis</p> <p>2015-01-01</p> <p>Using satellite-based methods that provide accurate 0-1 hour convective initiation (CI) nowcasts, and rely on proven success coupling satellite and radar fields in the Corridor Integrated Weather System (CIWS; operated and developed at MIT-Lincoln Laboratory), to subsequently monitor for first-flash <span class="hlt">lightning</span> initiation (LI) and later period <span class="hlt">lightning</span> trends as storms evolve. Enhance IR-based methods within the GOES-R CI Algorithm (that must meet specific thresholds for a given cumulus cloud before the cloud is considered to have an increased likelihood of producing <span class="hlt">lightning</span> next 90 min) that forecast LI. Integrate GOES-R CI and LI fields with radar thresholds (e.g., first greater than or equal to 40 dBZ echo at the -10 C altitude) and NWP model data within the WDSS-II system for LI-events from new convective storms. Track ongoing <span class="hlt">lightning</span> using <span class="hlt">Lightning</span> Mapping Array (LMA) and pseudo-Geostationary <span class="hlt">Lightning</span> Mapper (GLM) data to assess per-storm <span class="hlt">lightning</span> trends (e.g., as tied to <span class="hlt">lightning</span> jumps) and outline threat regions. Evaluate the ability to produce LI nowcasts through a "<span class="hlt">lightning</span> threat" product, and obtain feedback from National Weather Service forecasters on its value as a decision support tool.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990108648&hterms=lightning+facts&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dlightning%2Bfacts','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990108648&hterms=lightning+facts&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dlightning%2Bfacts"><span><span class="hlt">Lightning</span> and 85-GHz MCSs in the Global Tropics</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Toracinta, E. Richard; Zipser, E. J.</p> <p>1999-01-01</p> <p>Numerous observations of tropical convection show that tropical continental mesoscale convective systems (MCSs) are much more prolific <span class="hlt">lightning</span> producers than their oceanic counterparts. Satellite-based climatologies using 85-GHz passive microwave ice-scattering signatures from the Special Sensor Microwave/<span class="hlt">Imager</span> (SSM/I) indicate that MCSs of various size and intensity are found throughout the global tropics. In contrast, global <span class="hlt">lightning</span> distributions show a strong land bias with an order of magnitude difference between land and ocean <span class="hlt">lightning</span>. This is somewhat puzzling, since 85-GHz ice-scattering and the charge separation processes that lead to <span class="hlt">lightning</span> are both thought to depend upon the existence of large graupel particles. The fact that low 85-GHz brightness temperatures are observed in tropical oceanic MCSs containing virtually no <span class="hlt">lightning</span> leads to the postulate that tropical oceanic and tropical continental MCSs have fundamentally different hydrometeor profiles through the mixed phase region of the cloud (0 C <= T <= 20 C). Until recently, validation of this postulate has not been practicable on a global scale. Recent deployment of the Tropical Rainfall Measuring Mission (TRMM) satellite presents a unique opportunity for MCS studies. The multi-sensor instrument ensemble aboard TRMM, including a multi-channel microwave radiometer, the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS), and the first space-borne radar, facilitates high-resolution case studies of MCS structure throughout the global tropics. An important precursor, however, is to better understand the distribution of MCSs and <span class="hlt">lightning</span> in the tropics. With that objective in mind, this research undertakes a systematic comparison of 85-GHz-defined MCSs and <span class="hlt">lightning</span> over the global tropics for a full year, as an initial step toward quantifying differences between land and ocean convective systems.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030111776&hterms=quantitative+data+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dquantitative%2Bdata%2Banalysis','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030111776&hterms=quantitative+data+analysis&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dquantitative%2Bdata%2Banalysis"><span><span class="hlt">Lightning</span> and Precipitation: Observational Analysis of LIS and PR</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adamo, C.; Solomon, R.; Goodman, S.; Dietrich, S.; Mugnai, A.</p> <p>2003-01-01</p> <p><span class="hlt">Lightning</span> flash rate can identify areas of convective rainfall when the storms are dominated by ice-phase precipitation. Modeling and observational studies indicate that cloud electrification and microphysics are very closely related and it is of great interest to understand the relationship between <span class="hlt">lightning</span> and cloud microphysical quantities. Analyzing data from the <span class="hlt">Lightning</span> <span class="hlt">Image</span> Sensor (LIS) and the Precipitation Radar (PR), we show a quantitative relationship between microphysical characteristics of thunderclouds and <span class="hlt">lightning</span> flash rate. We have performed a complete analysis of all data available over the Mediterranean during the TRMM mission and show a range of reflective profiles as a function of <span class="hlt">lightning</span> activity for both convective and stratiform regimes as well as seasonal variations. Due to the increasing global coverage of <span class="hlt">lightning</span> detection networks, this kind of study can used to extend the knowledge about thunderstorms and discriminate between different regimes in regions where radar measurements are readilly available.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19800013235','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19800013235"><span>Calibration tests on magnetic tape <span class="hlt">lightning</span> current detectors</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Crouch, K. E.</p> <p>1980-01-01</p> <p>The low cost, passive, peak <span class="hlt">lightning</span> current detector (LCD) invented at the <span class="hlt">NASA</span>/Kennedy Space Center, uses magnetic audio recording tape to sense the magnitude of the peak magnetic field around a conductor carrying <span class="hlt">lightning</span> currents. Test results show that the length of audio tape erased was linearly related to the peak simulated <span class="hlt">lightning</span> currents in a round conductor. Accuracies of + or - 10% were shown for measurements made using a stopwatch readout technique to determine the amount of tape erased by the <span class="hlt">lightning</span> current. The stopwatch technique is a simple, low cost means of obtaining LCD readouts and can be used in the field to obtain immediate results. Where more accurate data are desired, the tape is played and the output recorded on a strip chart, oscilloscope, or some other means so that measurements can be made on that recording. Conductor dimensions, tape holder dimensions, and tape formulation must also be considered to obtain a more accurate result. If the shape of the conductor is other than circular (i.e., angle, channel, H-beam), an analysis of the magnetic field is required to use an LCD, especially at low current levels.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160004685','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160004685"><span><span class="hlt">Image</span> Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for the GOES-R Advanced Baseline <span class="hlt">Imager</span> and Geostationary <span class="hlt">Lightning</span> Mapper</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>DeLuccia, Frank J.; Houchin, Scott; Porter, Brian C.; Graybill, Justin; Haas, Evan; Johnson, Patrick D.; Isaacson, Peter J.; Reth, Alan D.</p> <p>2016-01-01</p> <p>The GOES-R Flight Project has developed an <span class="hlt">Image</span> Navigation and Registration (INR) Performance Assessment Tool Set (IPATS) for measuring Advanced Baseline <span class="hlt">Imager</span> (ABI) and Geostationary <span class="hlt">Lightning</span> Mapper (GLM) INR performance metrics in the post-launch period for performance evaluation and long term monitoring. For ABI, these metrics are the 3-sigma errors in navigation (NAV), channel-to-channel registration (CCR), frame-to-frame registration (FFR), swath-to-swath registration (SSR), and within frame registration (WIFR) for the Level 1B <span class="hlt">image</span> products. For GLM, the single metric of interest is the 3-sigma error in the navigation of background <span class="hlt">images</span> (GLM NAV) used by the system to navigate <span class="hlt">lightning</span> strikes. 3-sigma errors are estimates of the 99.73rd percentile of the errors accumulated over a 24 hour data collection period. IPATS utilizes a modular algorithmic design to allow user selection of data processing sequences optimized for generation of each INR metric. This novel modular approach minimizes duplication of common processing elements, thereby maximizing code efficiency and speed. Fast processing is essential given the large number of sub-<span class="hlt">image</span> registrations required to generate INR metrics for the many <span class="hlt">images</span> produced over a 24 hour evaluation period. Another aspect of the IPATS design that vastly reduces execution time is the off-line propagation of Landsat based truth <span class="hlt">images</span> to the fixed grid coordinates system for each of the three GOES-R satellite locations, operational East and West and initial checkout locations. This paper describes the algorithmic design and implementation of IPATS and provides preliminary test results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100002101&hterms=climate+facts&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dclimate%2Bfacts','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100002101&hterms=climate+facts&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dclimate%2Bfacts"><span>Climate Change and Tropical Total <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Albrecht, R.; Petersen, W.; Buechler, D.; Goodman, S.; Blakeslee, R.; Christian, H.</p> <p>2009-01-01</p> <p>While global warming is regarded as a fact by many in the scientific community, its future impact remains a challenge to be determined and measured. The International Panel on Climate Change (IPCC) assessment report (IPCC, 2007) shows inconclusive answers on global rainfall trends and general agreement on a future drier climate with increased global warming. The relationship between temperature, humidity and convection is not linear and is strongly dependent on regional scale features, such as topography and land cover. Furthermore, the relationship between convective <span class="hlt">lightning</span> production (thunderstorms) and temperature is even more complicated, being subjected to the cloud dynamics and microphysics. Total <span class="hlt">lightning</span> (intracloud and cloud-to-ground) monitoring is a relatively new field of observation. Global and tropical total <span class="hlt">lightning</span> began to be more extensively measured by satellites in the mid 90s. In this scope, the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) onboard of the Tropical Rainfall Measurement Mission (TRMM) has been operational for over 11 years. Here we address total <span class="hlt">lightning</span> trends observed by LIS from 1998 to 2008 in different temporal (annual and seasonal) and spatial (large and regional) scales. The observed 11-year trends are then associate to different predicted/hypothesized climate change scenarios.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1993AREPS..21...43R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1993AREPS..21...43R"><span>Planetary <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Russell, C. T.; Clayton, R. N.; Buseck, P. R.; Hua, X.; Holsapple, K. A.; Esposito, L. W.; Aherns, T. J.; Hecht, J.</p> <p></p> <p>The present state of knowledge concerning <span class="hlt">lightning</span> on the planets is reviewed. Voyager data have clearly established the presence of <span class="hlt">lightning</span> discharges at each of the four Jovian planets. In situ data for <span class="hlt">lightning</span> on Venus are discussed in some detail, including reported quantitative occurrence rates and hypotheses concerning the relationship of Venusian <span class="hlt">lightning</span> to VLF bursts observed in the Venus atmosphere.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030062095&hterms=future+office+managers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DThe%2Bfuture%2BOf%2Boffice%2Bmanagers','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030062095&hterms=future+office+managers&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3DThe%2Bfuture%2BOf%2Boffice%2Bmanagers"><span>The North Alabama <span class="hlt">Lightning</span> Mapping Array: Recent Results and Future Prospects</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, S. J.; Blakeslee, R.; Christian, H.; Boccippio, D.; Koshak, W.; Bailey, J.; Hall, J.; Bateman, M.; McCaul, E.; Buechler, D.</p> <p>2002-01-01</p> <p>The North Alabama <span class="hlt">Lightning</span> Mapping Array became operational in November 2001 as a principal component of a severe weather test bed to infuse new science and technologies into the short-term forecasting of severe and hazardous weather and the warning decision-making process. The LMA project is a collaboration among <span class="hlt">NASA</span> scientists, National Weather Service (NWS) weather forecast offices (WFOs), emergency managers, and other partners. The time rate-of-change of storm characteristics and life-cycle trending are accomplished in real-time through the second generation <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor Data Applications Display (LISDAD II) system, initially developed in T997 through a collaboration among <span class="hlt">NASA</span>/MSFC, MIT/Lincoln Lab and the Melbourne, FL WFO. LISDAD II is now a distributed decision support system with a JAVA-based display application that allows anyone, anywhere to track individual storm histories within the Tennessee Valley region of the southeastern U.S. Since the inauguration of the LMA there has been an abundance of severe weather. During 23-24 November 2001, a major tornado outbreak was monitored by LMA in its first data acquisition effort (36 tornadoes in Alabama). Since that time the LMA has collected a vast amount of data on hailstorms and damaging wind events, non-tornadic supercells, and ordinary non-severe thunderstorms. In this paper we provide an overview of LMA observations and discuss future prospects for improving the short-term forecasting of convective weather.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMAE31A0424D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMAE31A0424D"><span>Oceanic <span class="hlt">Lightning</span> versus Continental <span class="hlt">Lightning</span>: VLF Peak Current Discrepancies</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dupree, N. A., Jr.; Moore, R. C.</p> <p>2015-12-01</p> <p>Recent analysis of the Vaisala global <span class="hlt">lightning</span> data set GLD360 suggests that oceanic <span class="hlt">lightning</span> tends to exhibit larger peak currents than continental <span class="hlt">lightning</span> (<span class="hlt">lightning</span> occurring over land). The GLD360 peak current measurement is derived from distant measurements of the electromagnetic fields emanated during the <span class="hlt">lightning</span> flash. Because the GLD360 peak current measurement is a derived quantity, it is not clear whether the actual peak currents of oceanic <span class="hlt">lightning</span> tend to be larger, or whether the resulting electromagnetic field strengths tend to be larger. In this paper, we present simulations of VLF signal propagation in the Earth-ionosphere waveguide to demonstrate that the peak field values for oceanic <span class="hlt">lightning</span> can be significantly stronger than for continental <span class="hlt">lightning</span>. Modeling simulations are performed using the Long Wave Propagation Capability (LWPC) code to directly evaluate the effect of ground conductivity on VLF signal propagation in the 5-15 kHz band. LWPC is an inherently narrowband propagation code that has been modified to predict the broadband response of the Earth-Ionosphere waveguide to an impulsive <span class="hlt">lightning</span> flash while preserving the ability of LWPC to account for an inhomogeneous waveguide. Furthermore, we evaluate the effect of return stroke speed on these results.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE41A..02V','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE41A..02V"><span>Cross-Referencing GLM and ISS-LIS with Ground-Based <span class="hlt">Lightning</span> Networks</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Virts, K.; Blakeslee, R. J.; Goodman, S. J.; Koshak, W. J.</p> <p>2017-12-01</p> <p>The Geostationary <span class="hlt">Lightning</span> Mapper (GLM), in geostationary orbit aboard GOES-16 since late 2016, and the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS), installed on the International Space Station in February 2017, provide observations of total <span class="hlt">lightning</span> activity from space. ISS-LIS samples the global tropics and mid-latitudes, while GLM observes the full thunderstorm life-cycle over the Americas and surrounding oceans. The launch of these instruments provides an unprecedented opportunity to compare <span class="hlt">lightning</span> observations across multiple space-based optical <span class="hlt">lightning</span> sensors. In this study, months of observations from GLM and ISS-LIS are cross-referenced with each other and with <span class="hlt">lightning</span> detected by the ground-based Earth Networks Global <span class="hlt">Lightning</span> Network (ENGLN) and the Vaisala Global <span class="hlt">Lightning</span> Dataset 360 (GLD360) throughout and beyond the GLM field-of-view. In addition to calibration/validation of the new satellite sensors, this study provides a statistical comparison of the characteristics of <span class="hlt">lightning</span> observed by the satellite and ground-based instruments, with an emphasis on the <span class="hlt">lightning</span> flashes uniquely identified by the satellites.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20180001589','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20180001589"><span>The Deep Space Gateway <span class="hlt">Lightning</span> Mapper (DLM) - Monitoring Global Change and Thunderstorm Processes Through Observations of Earth's High-Latitude <span class="hlt">Lightning</span> from Cis-Lunar Orbit</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lang, Timothy; Blakeslee, R. J.; Cecil, D. J.; Christian, H. J.; Gatlin, P. N.; Goodman, S. J.; Koshak, W. J.; Petersen, W. A.; Quick, M.; Schultz, C. J.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20180001589'); toggleEditAbsImage('author_20180001589_show'); toggleEditAbsImage('author_20180001589_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20180001589_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20180001589_hide"></p> <p>2018-01-01</p> <p>Function: Monitor global change and thunderstorm processes through observations of Earth's high-latitude <span class="hlt">lightning</span>. This instrument will combine long-lived sampling of individual thunderstorms with long-term observations of <span class="hlt">lightning</span> at high latitudes: How is global change affecting thunderstorm patterns; How do high-latitude thunderstorms differ from low-latitude? Why is the Gateway the optimal facility for this instrument / research: Expected DSG (Deep Space Gateway) orbits will provide nearly continuous viewing of the Earth's high latitudes (50 degrees latitude and poleward); These regions are not well covered by existing <span class="hlt">lightning</span> mappers (e.g., <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor / LIS, or Geostationary <span class="hlt">Lightning</span> Mapper / GLM); Polar, Molniya, Tundra, etc. Earth orbits have significant drawbacks related to continuous coverage and/or stable FOVs (Fields of View).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070037459&hterms=bateman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dbateman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070037459&hterms=bateman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dbateman"><span>Electric Field and <span class="hlt">Lightning</span> Observations in the Core of Category 5 Hurricane Emily</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Blakeslee, Richard; Mach, Doug M.; Bateman, Monte G.; Bailey, Jeff C.</p> <p>2007-01-01</p> <p>Significant electric fields and <span class="hlt">lightning</span> activity associated with Hurricane Emily were observed from a <span class="hlt">NASA</span> high-altitude ER-2 aircraft on July 17, 2005 while this storm developed as a compact but intense category 5 hurricane in the Caribbean south of Cuba. The electrical measurements were acquired as part of the <span class="hlt">NASA</span> sponsored Tropical Cloud Systems and Processes (TCSP) experiment. In addition to the electrical measurements, the aircraft's remote sensing instrument complement also included active radars, passive microwave, visible and infrared radiometers, and a temperature sounder providing details on the dynamical, microphysical, and environmental structure, characteristics and development of this intense storm. Cloud-to-ground <span class="hlt">lightning</span> location data from Vaisala's long range <span class="hlt">lightning</span> detection network were also acquired and displayed in real-time along with electric fields measured at the aircraft. These data and associated display also supported aircraft guidance and vectoring during the mission. During the observing period, flash rates in excess of 3 to 5 flashes per minute, as well as large electric field and field change values were observed as the storm appeared to undergo periods of intensification, especially in the northwest quadrant in the core eyewall regions. This is in contrast to most hurricanes that tend to be characterized by weak electrification and little or no <span class="hlt">lightning</span> activity except in the outer rain bands. It should be noted that this storm also had significant <span class="hlt">lightning</span> associated with its rain bands.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20100020938&hterms=under+armor&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dunder%2Barmor','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20100020938&hterms=under+armor&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dunder%2Barmor"><span>Exploring a Physically Based Tool for <span class="hlt">Lightning</span> Cessation: A Preliminary Study</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz, Elise V.; Petersen, Walter a.; Carey, Lawrence D.; Deierling, Wiebke</p> <p>2010-01-01</p> <p>The University of Alabama in Huntsville (UA Huntsville) and <span class="hlt">NASA</span>'s Marshall Space Flight Center are collaborating with the 45th Weather Squadron (45WS) at Cape Canaveral Air Force Station (CCAFS) to enable improved nowcasting of <span class="hlt">lightning</span> cessation. The project centers on use of dual-polarimetric radar capabilities, and in particular, the new C-band dual-polarimetric weather radar acquired by the 45WS. Special emphasis is placed on the development of a physically based operational algorithm to predict <span class="hlt">lightning</span> cessation. While previous studies have developed statistically based <span class="hlt">lightning</span> cessation algorithms, we believe that dual-polarimetric radar variables offer the possibility to improve existing algorithms through the inclusion of physically meaningful trends reflecting interactions between in-cloud electric fields and microphysics. Specifically, decades of polarimetric radar research using propagation differential phase has demonstrated the presence of distinct phase and ice crystal alignment signatures in the presence of strong electric fields associated with <span class="hlt">lightning</span>. One question yet to be addressed is: To what extent can these ice-crystal alignment signatures be used to nowcast the cessation of <span class="hlt">lightning</span> activity in a given storm? Accordingly, data from the UA Huntsville Advanced Radar for Meteorological and Operational Research (ARMOR) along with the North Alabama <span class="hlt">Lightning</span> Mapping Array are used in this study to investigate the radar signatures present before and after <span class="hlt">lightning</span> cessation. A summary of preliminary results will be presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990077339&hterms=RSD&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DRSD','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990077339&hterms=RSD&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DRSD"><span><span class="hlt">NASA</span>/NOAA: Earth Science Electronic Theater 1999</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hasler, A. Fritz</p> <p>1999-01-01</p> <p> new Earth sensing satellites, Hyper<span class="hlt">Image</span> datasets, because they have such high resolution in the spectral, temporal, spatial, and dynamic range domains. The traditional numerical spreadsheet paradigm has been extended to develop a scientific visualization approach for processing Hyper<span class="hlt">Image</span> datasets and 3D model results interactively. The advantages of extending the powerful spreadsheet style of computation to multiple sets of <span class="hlt">images</span> and organizing <span class="hlt">image</span> processing were demonstrated using the Distributed <span class="hlt">image</span> SpreadSheet (DISS). The DISS is being used as a high performance testbed Next Generation Internet (NGI) VisAnalysis of: 1) El Nino SSTs and NDVI response 2) Latest GOES 10 5-min rapid Scans of 26 day 5000 frame movie of March & April '98 weather and tornadic storms 3) TRMM rainfall and <span class="hlt">lightning</span> 4)GOES 9 satellite <span class="hlt">images</span>/winds and NOAA aircraft radar of hurricane Luis, 5) <span class="hlt">lightning</span> detector data merged with GOES <span class="hlt">image</span> sequences, 6) Japanese GMS, TRMM, & ADEOS data 7) Chinese FY2 data 8) Meteosat & ERS/ATSR data 9) synchronized manipulation of multiple 3D numerical model views; and others will be illustrated. The <span class="hlt">Image</span> SpreadSheet has been highly successful in producing Earth science visualizations for public outreach. Many of these visualizations have been widely disseminated through the world wide web pages of the HPCC/LTP/RSD program which can be found at http://rsd.gsfc.<span class="hlt">nasa</span>.gov/rsd The one min interval animations of Hurricane Luis on ABC Nightline and the color perspective rendering of Hurricane Fran published by TIME, LIFE, Newsweek, Popular Science, National Geographic, Scientific American, and the "Weekly Reader" are some of the examples which will be shown.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910001235','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910001235"><span>Development and application of linear and nonlinear methods for interpretation of <span class="hlt">lightning</span> strikes to in-flight aircraft</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rudolph, Terence; Perala, Rodney A.; Easterbrook, Calvin C.; Parker, Steven L.</p> <p>1986-01-01</p> <p>Since 1980, <span class="hlt">NASA</span> has been collecting direct strike <span class="hlt">lightning</span> data by flying an instrumented F-106B aircraft into thunderstorms. The continuing effort to interpret the measured data is reported here. Both linear and nonlinear finite difference modeling techniques are applied to the problem of <span class="hlt">lightning</span> triggered by an aircraft in a thunderstorm. Five different aircraft are analyzed to determine the effect of aircraft size and shape on <span class="hlt">lightning</span> triggering. The effect of <span class="hlt">lightning</span> channel impedance on aircraft response is investigated. The particle environment in thunderstorms and electric field enhancements by typical ice particles is also investigated.</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('https://images.nasa.gov/#/details-KSC-07PD-3294.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3294.html"><span>Constructing <span class="hlt">lightning</span> towers for the Constellation Program and</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-11-09</p> <p>On Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center, pilings are being pounded into the ground to help construct <span class="hlt">lightning</span> towers for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19750005958','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19750005958"><span>Tantalum capacitor behavior under fast transient overvoltages. [circuit protection against <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zill, J. A.; Castle, K. D.</p> <p>1974-01-01</p> <p>Tantalum capacitors were tested to determine failure time when subjected to short-duration, high-voltage surges caused by <span class="hlt">lightning</span> strikes. <span class="hlt">Lightning</span> is of concern to <span class="hlt">NASA</span> because of possible damage to critical spacecraft circuits. The test was designed to determine the minimum time for tantalum capacitor failure and the amount of overvoltage a capacitor could survive, without permanent damage, in 100 microseconds. All tested exhibited good recovery from the transient one-shot pulses with no failure at any voltage, forward or reverse, in less than 25 microseconds.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100033566','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100033566"><span>Space <span class="hlt">Images</span> for <span class="hlt">NASA</span>/JPL</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boggs, Karen; Gutheinz, Sandy C.; Watanabe, Susan M.; Oks, Boris; Arca, Jeremy M.; Stanboli, Alice; Peez, Martin; Whatmore, Rebecca; Kang, Minliang; Espinoza, Luis A.</p> <p>2010-01-01</p> <p>Space <span class="hlt">Images</span> for <span class="hlt">NASA</span>/JPL is an Apple iPhone application that allows the general public to access featured <span class="hlt">images</span> from the Jet Propulsion Laboratory (JPL). A back-end infrastructure stores, tracks, and retrieves space <span class="hlt">images</span> from the JPL Photojournal Web server, and catalogs the information into a streamlined rating infrastructure.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19760043099&hterms=Electromagnetic+Pulse&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DElectromagnetic%2BPulse','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19760043099&hterms=Electromagnetic+Pulse&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DElectromagnetic%2BPulse"><span>Design of an optical fiber cable link for <span class="hlt">lightning</span> instrumentation. [wideband pulse recording system</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Grove, C. H.; Phillips, R. L.; Wojtasinski, R. J.</p> <p>1975-01-01</p> <p>A <span class="hlt">lightning</span> instrumentation system was designed to record current magnitudes of <span class="hlt">lightning</span> strikes that hit a launch pad service structure at <span class="hlt">NASA</span>'s Kennedy Space Center. The instrumentation system consists of a <span class="hlt">lightning</span> ground rod with a current sensor coil, an optical transmitter, an optical fiber cable link, a detector receiver, and a recording system. The transmitter is a wideband pulse transformer driving an IR LED emitter. The transmitter operates linearly as a transducer. A low loss fiber bundle provides isolation of the recorder system from the electromagnetic field of the <span class="hlt">lightning</span> strike. The output of an optical detector receiver module is sampled and recorded in digital format. The significant factors considered in the design were dynamic range, linearity, mechanical configuration, electromagnetic isolation, and temperature compensation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19950057365&hterms=paper+airplanes&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dpaper%2Bairplanes','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19950057365&hterms=paper+airplanes&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dpaper%2Bairplanes"><span><span class="hlt">Lightning</span> protection technology for small general aviation composite material aircraft</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Plumer, J. A.; Setzer, T. E.; Siddiqi, S.</p> <p>1993-01-01</p> <p>An on going <span class="hlt">NASA</span> (Small Business Innovative Research) SBIR Phase II design and development program will produce the first <span class="hlt">lightning</span> protected, fiberglass, General Aviation aircraft that is available as a kit. The results obtained so far in development testing of typical components of the aircraft kit, such as the wing and fuselage panels indicate that the <span class="hlt">lightning</span> protection design methodology and materials chosen are capable of protecting such small composite airframes from <span class="hlt">lightning</span> puncture and structural damage associated with severe threat <span class="hlt">lightning</span> strikes. The primary objective of the program has been to develop a lightening protection design for full scale test airframe and verify its adequacy with full scale laboratory testing, thus enabling production and sale of owner-built, <span class="hlt">lightning</span>-protected, Stoddard-Hamilton Aircraft, Inc. Glasair II airplanes. A second objective has been to provide <span class="hlt">lightning</span> protection design guidelines for the General Aviation industry, and to enable these airplanes to meet lightening protection requirements for certification of small airplanes. This paper describes the protection design approaches and development testing results obtained thus far in the program, together with design methodology which can achieve the design goals listed above. The presentation of this paper will also include results of some of the full scale verification tests, which will have been completed by the time of this conference.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0001.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0001.html"><span>GOES-S <span class="hlt">NASA</span> Social</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2018-02-28</p> <p>Jason Townsend, <span class="hlt">NASA</span>'s social media manager, speaks to members of social media in the Kennedy Space Center’s Press Site auditorium. The briefing focused on the National Oceanic and Atmospheric Administration's, or NOAA's, Geostationary Operational Environmental Satellite, or GOES-S. The spacecraft is the second satellite in a series of next-generation NOAA weather satellites. It will launch to a geostationary position over the U.S. to provide <span class="hlt">images</span> of storms and help predict weather forecasts, severe weather outlooks, watches, warnings, <span class="hlt">lightning</span> conditions and longer-term forecasting. GOES-S is slated to lift off at 5:02 p.m. EST on March 1, 2018 aboard a United Launch Alliance Atlas V rocket.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210006HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210006HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Philip H. Scherrer (left) principal investigator, Helioseismic and Magnetic <span class="hlt">Imager</span> instrument, Stanford University in Palo Alto, speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, while colleagues Tom Woods, principal investigator, Extreme Ultraviolet Variability Experiment instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder and Madhulika Guhathakurta, SDO program scientist, <span class="hlt">NASA</span> Headquarters (right) look on Wednesday, April 21, 2010, at the Newseum in Washington. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100042581','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100042581"><span>Rationales for the <span class="hlt">Lightning</span> Flight-Commit Criteria</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Willett, John C. (Editor); Merceret, Francis J.; Krider, E. Philip; Dye, James E.; OBrien, T. Paul; Rust, W. David; Walterscheid, Richard L.; Madura, John T.; Christian, Hugh J.</p> <p>2010-01-01</p> <p>Since natural and artificially-initiated (or "triggered") <span class="hlt">lightning</span> are demonstrated hazards to the launch of space vehicles, the American space program has responded by establishing a set of <span class="hlt">Lightning</span> Flight Commit Criteria (LFCC), also known as <span class="hlt">Lightning</span> Launch Commit Criteria (LLCC), and associated Definitions to mitigate the risk. The LLCC apply to all Federal Government ranges and similar LFCC have been adopted by the Federal Aviation Administration for application at state-operated and private spaceports. The LLCC and Definitions have been developed, reviewed, and approved over the years of the American space program, progressing from relatively simple rules in the mid-twentieth century (that were inadequate) to a complex suite for launch operations in the early 21st century. During this evolutionary process, a "<span class="hlt">Lightning</span> Advisory Panel (LAP)" of top American scientists in the field of atmospheric electricity was established to guide it. Details of this process are provided in a companion document entitled "A History of the <span class="hlt">Lightning</span> Launch Commit Criteria and the <span class="hlt">Lightning</span> Advisory Panel for America s Space program" which is available as <span class="hlt">NASA</span> Special Publication 2010-216283. As new knowledge and additional operational experience have been gained, the LFCC/LLCC have been updated to preserve or increase their safety and to increase launch availability. All launches of both manned and unmanned vehicles at all Federal Government ranges now use the same rules. This simplifies their application and minimizes the cost of the weather infrastructure to support them. Vehicle operators and Range safety personnel have requested that the LAP provide a detailed written rationale for each of the LFCC so that they may better understand and appreciate the scientific and operational justifications for them. This document provides the requested rationales</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000986.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000986.html"><span>Dry Conditions and <span class="hlt">Lightning</span> Strikes Make for a Long California Fire Season</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-09-16</p> <p>The fire season in California has been anything but cooperative this year. Hot conditions combined with a state-wide drought and dry <span class="hlt">lightning</span> makes for unpleasant conditions and leads to an abundance of forest fires. On August 12, <span class="hlt">lightning</span> struck and started the fire that grew into the Happy Camp Complex. Currently over 113,000 acres have been affected and the fire is only 55% contained as of today. Strong winds tested fire lines yesterday (8/15), and are expected to do so again today. Despite the high winds, existing fire lines held with no spotting or expansion outside current containment lines. The south end of the fire continued backing slowly toward Elk Creek in the Marble Mountain Wilderness. The Man Fire joined with the Happy Camp Complex yesterday and will be managed by California Interagency Incident Management Team 4 as of 6:00am on Wednesday, September 17, 2014. Nearby the Happy Camp Complex, near Mt. Shasta and the town of Weed, another fire erupted that fire officials said quickly damaged or destroyed 100 structures Monday (8/15). Hundreds of firefighters were trying to contain that fire. A California Fire spokesman said more than 300 acres were scorched and more than 100 structures damaged or destroyed in just a few hours. The blaze, dubbed the Boles Fire, also led to the closure of Interstate 5 and U.S. 97. Weed is in Siskiyou County, about 50 miles south of the California-Oregon border. With strong winds, the fire was able to rage into the community before firefighters could get equipment to the blaze. About 1,500 to 2,000 residents were being evacuated to the Siskiyou County fairgrounds. An evacuation center was set up at the county fairgrounds in Yreka. <span class="hlt">NASA</span>'s Aqua satellite collected this natural-color <span class="hlt">image</span> with the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer, MODIS, instrument on September 15, 2014. Actively burning areas, detected by MODIS’s thermal bands, are outlined in red. <span class="hlt">NASA</span> <span class="hlt">image</span> courtesy Jeff Schmaltz LANCE/EOSDIS MODIS Rapid</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2009AGUFMAE21A0296W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2009AGUFMAE21A0296W"><span>A comparison between initial continuous currents of different types of upward <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, D.; Sawada, N.; Takagi, N.</p> <p>2009-12-01</p> <p>We have observed the <span class="hlt">lightning</span> to a wind turbine and its <span class="hlt">lightning</span>-protection tower for four consecutive winter seasons from 2005 to 2009. Our observation items include (1) thunderstorm electrical fields and <span class="hlt">lightning</span>-caused electric field changes at multi sites around the wind turbine, (2) electrical currents at the bottom of the wind turbine and its <span class="hlt">lightning</span> protection tower, (3) normal video and high speed <span class="hlt">image</span> of <span class="hlt">lightning</span> optical channels. Totally, we have obtained the data for 42 <span class="hlt">lightning</span> that hit either on wind turbine or its <span class="hlt">lightning</span> protection tower or both. Among these 42 <span class="hlt">lightning</span>, 38 are upward <span class="hlt">lightning</span> and 2 are downward <span class="hlt">lightning</span>. We found the upward <span class="hlt">lightning</span> can be sub-classified into two types. Type 1 upward <span class="hlt">lightning</span> are self-triggered from a high structure, while type 2 <span class="hlt">lightning</span> are triggered by a discharge occurred in other places which could be either a cloud discharge or a cloud-to-ground discharge (other-triggered). In this study, we have compared the two types of upward <span class="hlt">lightning</span> in terms of initial continuous current rise time, peak current and charge transferred to the ground. We found that the initial current of self-triggered <span class="hlt">lightning</span> tends to rise significantly faster and to a bigger peak value than the other-triggered <span class="hlt">lightning</span>, although both types of <span class="hlt">lightning</span> transferred similar amount of charge to the ground.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016plp..book.....M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016plp..book.....M"><span>Principles of <span class="hlt">Lightning</span> Physics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mazur, Vladislav</p> <p>2016-12-01</p> <p>Principles of <span class="hlt">Lightning</span> Physics presents and discusses the most up-to-date physical concepts that govern many <span class="hlt">lightning</span> events in nature, including <span class="hlt">lightning</span> interactions with man-made structures, at a level suitable for researchers, advanced students and well-educated <span class="hlt">lightning</span> enthusiasts. The author's approach to understanding <span class="hlt">lightning</span>-to seek out, and show what is common to all <span class="hlt">lightning</span> flashes-is illustrated by an analysis of each type of <span class="hlt">lightning</span> and the multitude of <span class="hlt">lightning</span>-related features. The book examines the work that has gone into the development of new physical concepts, and provides critical evaluations of the existing understanding of the physics of <span class="hlt">lightning</span> and the lexicon of terms and definitions presently used in <span class="hlt">lightning</span> research.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3299.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3299.html"><span>Constructing <span class="hlt">lightning</span> towers for the Constellation Program and</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-11-09</p> <p>On Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center, workers measure the piling being pounded into the ground to help construct <span class="hlt">lightning</span> towers for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210001HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210001HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Scientists involved in <span class="hlt">NASA</span>'s Solar Dynamics Observatory (SDO) mission attend a press conference to discuss recent <span class="hlt">images</span> captured by the SDO spacecraft Wednesday, April 21, 2010, at the Newseum in Washington. On Feb. 11, 2010, <span class="hlt">NASA</span> launched the SDO spacecraft, which is the most advanced spacecraft ever designed to study the sun. Seated left to right are: Dean Pesnell, SDO project scientist, Goddard Space Flight Center in Greenbelt, Md.; Alan Title, principal investigator, Atmospheric <span class="hlt">Imaging</span> Assembly instrument, Lockheed Martin Solar and Astrophysics Laboratory in Palo Alto; Philip H. Scherrer, principal investigator, Helioseismic and Magnetic <span class="hlt">Imager</span> instrument, Stanford University in Palo Alto; Tom Woods, principal investigator, Extreme Ultraviolet Variability Experiment Instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder and Madhulika Guhathakurta, SDO program scientist, <span class="hlt">NASA</span> Headquarters in Washington. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19870012438','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19870012438"><span>New methods and results for quantification of <span class="hlt">lightning</span>-aircraft electrodynamics</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pitts, Felix L.; Lee, Larry D.; Perala, Rodney A.; Rudolph, Terence H.</p> <p>1987-01-01</p> <p>The <span class="hlt">NASA</span> F-106 collected data on the rates of change of electromagnetic parameters on the aircraft surface during over 700 direct <span class="hlt">lightning</span> strikes while penetrating thunderstorms at altitudes from 15,000 t0 40,000 ft (4,570 to 12,190 m). These in situ measurements provided the basis for the first statistical quantification of the <span class="hlt">lightning</span> electromagnetic threat to aircraft appropriate for determining indirect <span class="hlt">lightning</span> effects on aircraft. These data are used to update previous <span class="hlt">lightning</span> criteria and standards developed over the years from ground-based measurements. The proposed standards will be the first which reflect actual aircraft responses measured at flight altitudes. Nonparametric maximum likelihood estimates of the distribution of the peak electromagnetic rates of change for consideration in the new standards are obtained based on peak recorder data for multiple-strike flights. The linear and nonlinear modeling techniques developed provide means to interpret and understand the direct-strike electromagnetic data acquired on the F-106. The reasonable results obtained with the models, compared with measured responses, provide increased confidence that the models may be credibly applied to other aircraft.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012AGUFMAE31A..01W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012AGUFMAE31A..01W"><span><span class="hlt">Lightning</span> and Climate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Williams, E.</p> <p>2012-12-01</p> <p><span class="hlt">Lightning</span> is of interest in the domain of climate change for several reasons: (1) thunderstorms are extreme forms of moist convection, and <span class="hlt">lightning</span> flash rate is a sensitive measure of that extremity, (2) thunderstorms are deep conduits for delivering water substance from the boundary layer to the upper troposphere and stratosphere, and (3) global <span class="hlt">lightning</span> can be monitored continuously and inexpensively within a natural framework (the Earth-ionosphere waveguide and Schumann resonances). <span class="hlt">Lightning</span> and temperature, and <span class="hlt">lightning</span> and upper tropospheric water vapor, are positively correlated on weather-related time scales (diurnal, semiannual, and annual) with a <span class="hlt">lightning</span> temperature sensitivity of order 10% per oC. <span class="hlt">Lightning</span> also follows temperature variations on the ENSO time scale, both locally and globally. The response of <span class="hlt">lightning</span> in some of its extreme forms (exceptional flash rates and the prevalence of sprite-producing mesoscale <span class="hlt">lightning</span>, for example) to temperature variations will be addressed. Consistently obtained records of <span class="hlt">lightning</span> activity on longer time scales are scarce as stable detection networks are uncommon. As a consequence, thunder day data have been used to extend the <span class="hlt">lightning</span> record for climate studies, with evidence for increases over decades in urban areas. Global records of <span class="hlt">lightning</span> following Schumann resonance intensity and from space-based optical sensors (OTD and LIS) are consistent with the record of ionospheric potential representing the global electrical circuit in showing flat behavior over the few decades. This flatness is not well understood, though the majority of all <span class="hlt">lightning</span> flashes are found in the tropics, the most closely regulated portion of the atmosphere. Other analysis of frequency variations of Schumann resonances in recent decades shows increased <span class="hlt">lightning</span> in the northern hemisphere, where the global warming is most pronounced. The quantity more fundamental than temperature for <span class="hlt">lightning</span> control is cloud buoyancy</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20090019654','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20090019654"><span>Satellite Proving Ground for the GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven J.; Gurka, James; Bruning, E. C.; Blakeslee, J. R.; Rabin, Robert; Buechler, D.</p> <p>2009-01-01</p> <p>The key mission of the Satellite Proving Ground is to demonstrate new satellite observing data, products and capabilities in the operational environment to be ready on Day 1 to use the GOES-R suite of measurements. Algorithms, tools, and techniques must be tested, validated, and assessed by end users for their utility before they are finalized and incorporated into forecast operations. The GOES-R Proving Ground for the Geostationary <span class="hlt">Lightning</span> Mapper (GLM) focuses on evaluating how the infusion of the new technology, algorithms, decision aids, or tailored products integrate with other available tools (weather radar and ground strike networks; nowcasting systems, mesoscale analysis, and numerical weather prediction models) in the hands of the forecaster responsible for issuing forecasts and warning products. Additionally, the testing concept fosters operation and development staff interactions which will improve training materials and support documentation development. Real-time proxy total <span class="hlt">lightning</span> data from regional VHF <span class="hlt">lightning</span> mapping arrays (LMA) in Northern Alabama, Central Oklahoma, Cape Canaveral Florida, and the Washington, DC Greater Metropolitan Area are the cornerstone for the GLM Proving Ground. The proxy data will simulate the 8 km Event, Group and Flash data that will be generated by GLM. Tailored products such as total flash density at 1-2 minute intervals will be provided for display in AWIPS-2 to select NWS forecast offices and national centers such as the Storm Prediction Center. Additional temporal / spatial combinations are being investigated in coordination with operational needs and case-study proxy data and prototype visualizations may also be generated from the <span class="hlt">NASA</span> heritage <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor and Optical Transient Detector data. End users will provide feedback on the utility of products in their operational environment, identify use cases and spatial/temporal scales of interest, and provide feedback to the developers for adjusted or</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20170005286','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20170005286"><span>In the Hot Seat: STS-115 <span class="hlt">Lightning</span> Strike Stand Down Debate - <span class="hlt">NASA</span> Case Study</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kummer, Lizette; Stevens, Jennifer</p> <p>2016-01-01</p> <p>There is no way the PIC's could have seen any current' was the gist of Mike Griffin's assessment. Griffin was the <span class="hlt">NASA</span> Administrator at the time. The buck stopped at his desk. Holding a napkin out to Pat Lampton, Griffin showed Lampton the calculations he'd made over dinner that predicted that the Pyrotechnic Initiator Controllers (PIC's) at the base of the Space Shuttle Solid Rocket Boosters (SRBs) were fine. A <span class="hlt">lightning</span> strike the day before, the worst ever experienced with a Space Shuttle on the launch pad, caused a halt to the launch count down as technicians, engineers, and managers scrambled identify any damage to the launch system. SRB technicians and engineers assessed the data against their <span class="hlt">Lightning</span> Strike Re-Test Requirements, determining that all but one of the requirements could be checked if they resumed the countdown. For the one remaining requirement, testing the integrity of the PIC's would require 96 hours to set up, test, and reassemble. The engineers were convinced that there was no way to do calculations to show the PIC's were okay. The only option was to stand down. It was SRB Deputy Project Manager (PM) Pat Lampton's responsibility to decide what the SRB project position needed to be to certify that their hardware was safe to fly. He had to communicate that decision to the Mission Management Team (MMT) as a Go or No Go position to resume the count down. If the answer was Go they could still meet a delayed, but acceptable launch schedule. If the answer was No Go, rescheduling the launch would be a grueling shuffling of hardware, personnel, and mission timelines to accommodate Russian missions to the Space Station, supplies for the launch, and personnel manning launch operations. On top of that, Hurricane Ernesto was spinning off the coast of Florida, threatening the need for the Shuttle to roll back to the hangar if they waited too long.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE33A2522F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE33A2522F"><span>Simulating Realistic Test Data for the European <span class="hlt">Lightning</span> <span class="hlt">Imager</span> on MTG using Data from Seviri, TRMM-LIS and ISS-LIS</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Finke, U.; Blakeslee, R. J.; Mach, D. M.</p> <p>2017-12-01</p> <p>The next generation of European geostationary weather observing satellites (MTG) will operate an optical <span class="hlt">lightning</span> location instrument (LI) which will be very similar to the Global <span class="hlt">Lightning</span> Mapper (GLM) on board of GOES-R. For the development and verification of the product processing algorithms realistic test data are necessary. This paper presents a method of test data generation on the basis of optical <span class="hlt">lightning</span> data from the LIS instrument and cloud <span class="hlt">image</span> data from the Seviri radiometer.The basis is the <span class="hlt">lightning</span> data gathered during the 15 year LIS operation time, particularly the empirical distribution functions of the optical pulse size, duration and radiance as well as the inter-correlation of <span class="hlt">lightning</span> in space and time. These allow for a realistically structured simulation of <span class="hlt">lightning</span> test data. Due to its low orbit the instantaneous field of view of the LIS is limited and moving with time. For the generation of test data which cover the geostationary visible disk, the LIS data have to be extended. This is realized by 1. simulating random <span class="hlt">lightning</span> pulses according to the established distribution functions of the <span class="hlt">lightning</span> parameters and 2. using the cloud radiometer data of the Seviri instrument on board of the geostationary Meteosat second generation (MSG). Particularly, the cloud top height product (CTH) identifies convective storm clouds wherein the simulation places random <span class="hlt">lightning</span> pulses. The LIS instrument was recently deployed on the International Space Station (ISS). The ISS orbit reaches higher latitudes, particularly Europe. The ISS-LIS data is analyzed for single observation days. Additionally, the statistical distribution of parameters such as radiance, footprint size, and space time correlation of the groups are compared against the long time statistics from TRMM-LIS.Optical <span class="hlt">lightning</span> detection efficiency from space is affected by the solar radiation reflected from the clouds. This effect is changing with day and night areas across the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMAE24A..05F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMAE24A..05F"><span>Monitoring <span class="hlt">lightning</span> from space with TARANIS</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Farges, T.; Blanc, E.; Pinçon, J.</p> <p>2010-12-01</p> <p> about 1 km. One of the photometers will measure precisely the <span class="hlt">lightning</span> radiance in a wide spectral range from 600 to 900 nm with a sampling frequency of 20 kHz. We suggest using the Event and mainly Survey mode of MCP instrument to monitor <span class="hlt">lightning</span> activity and compare it to the geostationary satellite <span class="hlt">lightning</span> mapper data. In the Event mode, data are recorded with their highest resolution. In the camera survey mode, every <span class="hlt">image</span> is archived using a specific compression algorithm. The photometer Survey mode consists in decimating the data by a factor of 10 and to reduce the data dynamic. However, it remains well adapted to provide a good continuous characterization of <span class="hlt">lightning</span> activity. The use of other instruments for example 0+ whistler detector will complete the <span class="hlt">lightning</span> characterization.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018Natur.558...87B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018Natur.558...87B"><span>Prevalent <span class="hlt">lightning</span> sferics at 600 megahertz near Jupiter's poles</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Brown, Shannon; Janssen, Michael; Adumitroaie, Virgil; Atreya, Sushil; Bolton, Scott; Gulkis, Samuel; Ingersoll, Andrew; Levin, Steven; Li, Cheng; Li, Liming; Lunine, Jonathan; Misra, Sidharth; Orton, Glenn; Steffes, Paul; Tabataba-Vakili, Fachreddin; Kolmašová, Ivana; Imai, Masafumi; Santolík, Ondřej; Kurth, William; Hospodarsky, George; Gurnett, Donald; Connerney, John</p> <p>2018-06-01</p> <p><span class="hlt">Lightning</span> has been detected on Jupiter by all visiting spacecraft through night-side optical <span class="hlt">imaging</span> and whistler (<span class="hlt">lightning</span>-generated radio waves) signatures1-6. Jovian <span class="hlt">lightning</span> is thought to be generated in the mixed-phase (liquid-ice) region of convective water clouds through a charge-separation process between condensed liquid water and water-ice particles, similar to that of terrestrial (cloud-to-cloud) <span class="hlt">lightning</span>7-9. Unlike terrestrial <span class="hlt">lightning</span>, which emits broadly over the radio spectrum up to gigahertz frequencies10,11, <span class="hlt">lightning</span> on Jupiter has been detected only at kilohertz frequencies, despite a search for signals in the megahertz range12. Strong ionospheric attenuation or a <span class="hlt">lightning</span> discharge much slower than that on Earth have been suggested as possible explanations for this discrepancy13,14. Here we report observations of Jovian <span class="hlt">lightning</span> sferics (broadband electromagnetic impulses) at 600 megahertz from the Microwave Radiometer15 onboard the Juno spacecraft. These detections imply that Jovian <span class="hlt">lightning</span> discharges are not distinct from terrestrial <span class="hlt">lightning</span>, as previously thought. In the first eight orbits of Juno, we detected 377 <span class="hlt">lightning</span> sferics from pole to pole. We found <span class="hlt">lightning</span> to be prevalent in the polar regions, absent near the equator, and most frequent in the northern hemisphere, at latitudes higher than 40 degrees north. Because the distribution of <span class="hlt">lightning</span> is a proxy for moist convective activity, which is thought to be an important source of outward energy transport from the interior of the planet16,17, increased convection towards the poles could indicate an outward internal heat flux that is preferentially weighted towards the poles9,16,18. The distribution of moist convection is important for understanding the composition, general circulation and energy transport on Jupiter.</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://www.ncbi.nlm.nih.gov/pubmed/23054785','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23054785"><span>The reciprocal relation between <span class="hlt">lightning</span> and pollution and their impact over Kolkata, India.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Middey, Anirban; Chaudhuri, Sutapa</p> <p>2013-05-01</p> <p>Aerosol loading in the atmosphere can cause increased <span class="hlt">lightning</span> flashes, and those <span class="hlt">lightning</span> flashes produce NOX , which reacts in sun light to produce surface ozone. The present study deals with the effect of surface pollutants on premonsoon (April-May) <span class="hlt">lightning</span> activity over the station Kolkata (22.65° N, 88.45° E). Seven-year (2004-2010) premonsoon thunderstorms data are taken for the study. Different parameters like aerosol optical depth and cloud top temperature from the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer satellite products along with <span class="hlt">lightning</span> flash data from Tropical Rainfall Measuring Mission's (TRMM) <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor are analyzed. Some surface pollution parameters like suspended particulate matter, particulate matter 10, nitrogen oxides (NOX), and surface ozone (O₃) data during the same period are taken account for clear understanding of their association with <span class="hlt">lightning</span> activity. Heights of convective condensation level and lifting condensation level are collected from radiosonde observations to anticipate about cloud base. It is found that increased surface pollution in a near storm environment is related to increased <span class="hlt">lightning</span> flash rate, which results in increased surface NOX and consequently increased surface ozone concentration over the station Kolkata.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3298.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3298.html"><span>Constructing <span class="hlt">lightning</span> towers for the Constellation Program and</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-11-09</p> <p>On Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center, the crane crawler puts a piling into place to be pounded into the ground to help construct <span class="hlt">lightning</span> towers for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3297.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3297.html"><span>Constructing <span class="hlt">lightning</span> towers for the Constellation Program and</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-11-09</p> <p>On Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center, the crane crawler lifts a piling into place to be pounded into the ground to help construct <span class="hlt">lightning</span> towers for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA14765.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA14765.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Cambodian Flooding</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-08-29</p> <p>This <span class="hlt">image</span> acquired by <span class="hlt">NASA</span> Terra spacecraft shows unusually heavy rains over the upper Mekong River in Laos and Thailand that led to severe flooding in Cambodia in mid-August 2011. The city of Phnom Penh is at the bottom center of the <span class="hlt">image</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090009350&hterms=chemistry+chemicals&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dchemistry%2Bchemicals','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090009350&hterms=chemistry+chemicals&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dchemistry%2Bchemicals"><span>Production of NOx by <span class="hlt">Lightning</span> and its Effects on Atmospheric Chemistry</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pickering, Kenneth E.</p> <p>2009-01-01</p> <p>Production of NO(x) by <span class="hlt">lightning</span> remains the NO(x) source with the greatest uncertainty. Current estimates of the global source strength range over a factor of four (from 2 to 8 TgN/year). Ongoing efforts to reduce this uncertainty through field programs, cloud-resolved modeling, global modeling, and satellite data analysis will be described in this seminar. Representation of the <span class="hlt">lightning</span> source in global or regional chemical transport models requires three types of information: the distribution of <span class="hlt">lightning</span> flashes as a function of time and space, the production of NO(x) per flash, and the effective vertical distribution of the <span class="hlt">lightning</span>-injected NO(x). Methods of specifying these items in a model will be discussed. For example, the current method of specifying flash rates in <span class="hlt">NASA</span>'s Global Modeling Initiative (GMI) chemical transport model will be discussed, as well as work underway in developing algorithms for use in the regional models CMAQ and WRF-Chem. A number of methods have been employed to estimate either production per <span class="hlt">lightning</span> flash or the production per unit flash length. Such estimates derived from cloud-resolved chemistry simulations and from satellite NO2 retrievals will be presented as well as the methodologies employed. Cloud-resolved model output has also been used in developing vertical profiles of <span class="hlt">lightning</span> NO(x) for use in global models. Effects of <span class="hlt">lightning</span> NO(x) on O3 and HO(x) distributions will be illustrated regionally and globally.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210005HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210005HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Madhulika Guhathakurta, far right, SDO Program Scientist at <span class="hlt">NASA</span> Headquarters in Washington, speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, Wednesday, April 21, 2010, at the Newseum in Washington. Pictured from left of Dr. Guhathakurta's are: Tom Woods, principal investigator, Extreme Ultraviolet Variability Experiment instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder; Philip H. Scherrer, principal investigator, Helioseismic and Magnetic <span class="hlt">Imager</span> instrument, Stanford University in Palo Alto; Alan Title, principal investigator, Atmospheric <span class="hlt">Imaging</span> Assembly instrument, Lockheed Martin Solar and Astrophysics Laboratory in Palo Alto and Dean Pesnell, SDO project scientist, Goddard Space Flight Center in Greenbelt, Md. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210004HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210004HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Scientists involved in <span class="hlt">NASA</span>'s Solar Dynamics Observatory (SDO) mission attend a press conference to discuss recent <span class="hlt">images</span> captured by the SDO spacecraft Wednesday, April 21, 2010, at the Newseum in Washington. Pictured right to left are: Madhulika Guhathakurta, SDO program scientist, <span class="hlt">NASA</span> Headquarters in Washington; Tom Woods, principal investigator, Extreme Ultraviolet Variability Experiment instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder; Philip H. Scherrer, principal investigator, Helioseismic and Magnetic <span class="hlt">Imager</span> instrument, Stanford University in Palo Alto; Alan Title, principal investigator, Atmospheric <span class="hlt">Imaging</span> Assembly instrument, Lockheed Martin Solar and Astrophysics Laboratory in Palo Alto and Dean Pesnell, SDO project scientist, Goddard Space Flight Center in Greenbelt, Md. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001478.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001478.html"><span><span class="hlt">Lightning</span> Flashes and Gravity Waves in Tropical Cyclone Mahasen</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>Tropical Cyclone Mahasen is moving north through the Indian Ocean along a track that places landfall along the Bangladesh coast on May 16th around 1200Z. On May 13, 2013 the Suomi NPP satellite caught an interesting glimpse of the storm as it moved off the eastern coast of India. The VIIRS Day-Night Band was able to resolve <span class="hlt">lightning</span> flashes towards the center of the storm, along with mesopheric gravity waves emanating outwards like ripples in a pond. These gravity waves are of particular interest to air traffic controllers so assist in identifying areas of turbulence. Since the moon was in a new phase, the lights and other surface features of India and Sri Lanka are clearly visible, though the clouds of TC Mahasen are not - a tradeoff that occurs as the amount of moonlight cycles throughout the month. Credit: <span class="hlt">NASA</span>/NOAA <span class="hlt">NASA</span> <span class="hlt">image</span> 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=19860035730&hterms=dart&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddart','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19860035730&hterms=dart&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Ddart"><span>Anomalous light output from <span class="hlt">lightning</span> dart leaders</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Guo, C.; Krider, E. P.</p> <p>1985-01-01</p> <p>About 5 percent of the multiple-stroke cloud-to-ground <span class="hlt">lightning</span> discharges recorded at the <span class="hlt">NASA</span> Kennedy Space Center during the summer of 1981 contained dart leaders that produced an unusually large light output. An analysis of these cases indicates that the average peak light output per unit length in the leader may be comparable to or even exceed that of the return stroke that follows.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/977796','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/977796"><span>Global <span class="hlt">lightning</span> and severe storm monitoring from GPS orbit</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>Suszcynsky, D. M.; Jacobson, A. R.; Linford, J</p> <p></p> <p> of the electrical activity within that cell as measured by the <span class="hlt">lightning</span> flash rate. Williams [2001] has provided a review of experimental work that shows correlations between the total <span class="hlt">lightning</span> flash rate and the fifth power of the radar cloud-top height (i.e. convective strength) of individual thunder cells. More recently, Ushio et al., [2001] used a large statistical sampling of optical data from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) in conjunction with data provided by the Precipitation Radar (PR) aboard the Tropical Rainfall Monitoring Mission (TRMM) satellite to conclude that the total <span class="hlt">lightning</span> flash rate increases exponentially with storm height. <span class="hlt">Lightning</span> activity levels have also been correlated to cloud ice content, a basic product of the convective process. For example, Blyth et al. [2001] used the Thermal Microwave <span class="hlt">Imager</span> (TMI) aboard the TRMM satellite to observe a decrease in the 37 and 85 GHz brightness temperatures of upwelling terrestrial radiation during increased <span class="hlt">lightning</span> activity. This reduction in brightness temperature is believed to be the result of increased ice scattering in the mixed phase region of the cloud. Toracinta and Zipser [2001] have found similar relationships using the Optical Transient Detector (OTD) satellite instrument and the Special Sensor Microwave <span class="hlt">Imager</span> (SSM/I) aboard the DMSP satellites.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123.2347S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123.2347S"><span>Characteristics of <span class="hlt">Lightning</span> Within Electrified Snowfall Events Using <span class="hlt">Lightning</span> Mapping Arrays</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schultz, Christopher J.; Lang, Timothy J.; Bruning, Eric C.; Calhoun, Kristin M.; Harkema, Sebastian; Curtis, Nathan</p> <p>2018-02-01</p> <p>This study examined 34 <span class="hlt">lightning</span> flashes within four separate thundersnow events derived from <span class="hlt">lightning</span> mapping arrays (LMAs) in northern Alabama, central Oklahoma, and Washington DC. The goals were to characterize the in-cloud component of each <span class="hlt">lightning</span> flash, as well as the correspondence between the LMA observations and <span class="hlt">lightning</span> data taken from national <span class="hlt">lightning</span> networks like the National <span class="hlt">Lightning</span> Detection Network (NLDN). Individual flashes were examined in detail to highlight several observations within the data set. The study results demonstrated that the structures of these flashes were primarily normal polarity. The mean area encompassed by this set of flashes is 375 km2, with a maximum flash extent of 2,300 km2, a minimum of 3 km2, and a median of 128 km2. An average of 2.29 NLDN flashes were recorded per LMA-derived <span class="hlt">lightning</span> flash. A maximum of 11 NLDN flashes were recorded in association with a single LMA-derived flash on 10 January 2011. Additionally, seven of the 34 flashes in the study contain zero NLDN-identified flashes. Eleven of the 34 flashes initiated from tall human-made objects (e.g., communication towers). In at least six <span class="hlt">lightning</span> flashes, the NLDN detected a return stroke from the cloud back to the tower and not the initial upward leader. This study also discusses <span class="hlt">lightning</span>'s interaction with the human-built environment and provides an example of <span class="hlt">lightning</span> within heavy snowfall observed by Geostationary Operational Environmental Satellite-16's Geostationary <span class="hlt">Lightning</span> Mapper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29910996','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29910996"><span>Characteristics of <span class="hlt">Lightning</span> within Electrified Snowfall Events using <span class="hlt">Lightning</span> Mapping Arrays.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Schultz, Christopher J; Lang, Timothy J; Bruning, Eric C; Calhoun, Kristin M; Harkema, Sebastian; Curtis, Nathan</p> <p>2018-02-27</p> <p>This study examined 34 <span class="hlt">lightning</span> flashes within four separate thundersnow events derived from <span class="hlt">lightning</span> mapping arrays (LMAs) in northern Alabama, central Oklahoma, and Washington DC. The goals were to characterize the in-cloud component of each <span class="hlt">lightning</span> flash, as well as the correspondence between the LMA observations and <span class="hlt">lightning</span> data taken from national <span class="hlt">lightning</span> networks like the National <span class="hlt">Lightning</span> Detection Network (NLDN). Individual flashes were examined in detail to highlight several observations within the dataset. The study results demonstrated that the structures of these flashes were primarily normal polarity. The mean area encompassed by this set of flashes is 375 km 2 , with a maximum flash extent of 2300 km 2 , a minimum of 3 km 2 , and a median of 128 km 2 . An average of 2.29 NLDN flashes were recorded per LMA-derived <span class="hlt">lightning</span> flash. A maximum of 11 NLDN flashes were recorded in association with a single LMA-derived flash on 10 January 2011. Additionally, seven of the 34 flashes in the study contain zero NLDN identified flashes. Eleven of the 34 flashes initiated from tall human-made objects (e.g., communication towers). In at least six <span class="hlt">lightning</span> flashes, the NLDN detected a return stroke from the cloud back to the tower and not the initial upward leader. This study also discusses <span class="hlt">lightning</span>'s interaction with the human built environment and provides an example of <span class="hlt">lightning</span> within heavy snowfall observed by GOES-16's Geostationary <span class="hlt">Lightning</span> Mapper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140013298','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140013298"><span>Three Dimensional <span class="hlt">Lightning</span> Launch Commit Criteria Visualization Tool</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bauman, William H., III</p> <p>2014-01-01</p> <p><span class="hlt">Lightning</span> occurrence too close to a <span class="hlt">NASA</span> LSP or future SLS program launch vehicle in flight would have disastrous results. The sensitive electronics on the vehicle could be damaged to the point of causing an anomalous flight path and ultimate destruction of the vehicle and payload.According to 45th Weather Squadron (45 WS) <span class="hlt">Lightning</span> Launch Commit Criteria (LLCC), a vehicle cannot launch if <span class="hlt">lightning</span> is within 10 NM of its pre-determined flight path. The 45 WS Launch Weather Officers (LWOs) evaluate this LLCC for their launch customers to ensure the safety of the vehicle in flight. Currently, the LWOs conduct a subjective analysis of the distance between <span class="hlt">lightning</span> and the flight path using data from different display systems. A 3-D display in which the <span class="hlt">lightning</span> data and flight path are together would greatly reduce the ambiguity in evaluating this LLCC. It would give the LWOs and launch directors more confidence in whether a GO or NO GO for launch should be issued. When <span class="hlt">lightning</span> appears close to the path, the LWOs likely err on the side of conservatism and deem the <span class="hlt">lightning</span> to be within 10 NM. This would cause a costly delay or scrub. If the LWOs can determine with a strong level of certainty that the <span class="hlt">lightning</span> is beyond 10 NM, launch availability would increase without compromising safety of the vehicle, payload or, in the future, astronauts.The AMU was tasked to conduct a market research of commercial, government, and open source software that might be able to ingest and display the 3-D <span class="hlt">lightning</span> data from the KSC <span class="hlt">Lightning</span> Mapping Array (LMA), the 45th Space Wing Weather Surveillance Radar (WSR), the National Weather Service in Melbourne Weather Surveillance Radar 1988 Doppler (WSR-88D), and the vehicle flight path data so that all can be visualized together. To accomplish this, the AMU conducted Internet searches for potential software candidates and interviewed software developers.None of the available off-the-shelf software had a 3-D capability that could</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017ClDy..tmp..457L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017ClDy..tmp..457L"><span>Relationship between aerosol and <span class="hlt">lightning</span> over Indo-Gangetic Plain (IGP), India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lal, D. M.; Ghude, Sachin D.; Mahakur, M.; Waghmare, R. T.; Tiwari, S.; Srivastava, Manoj K.; Meena, G. S.; Chate, D. M.</p> <p>2017-08-01</p> <p>The relationship between aerosol and <span class="hlt">lightning</span> over the Indo-Gangetic Plain (IGP), India has been evaluated by utilising aerosol optical depth (AOD), cloud droplet effective radius and cloud fraction from Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer. <span class="hlt">Lightning</span> flashes have been observed by the <span class="hlt">lightning</span> <span class="hlt">Imaging</span> sensor on the board of Tropical Rainfall and Measuring Mission and humidity from modern-era retrospective-analysis for research and applications for the period of 2001-2012. In this study, the role of aerosol in <span class="hlt">lightning</span> generation over the north-west sector of IGP has been revealed. It is found that <span class="hlt">lightning</span> activity increases (decreases) with increasing aerosols during normal (deficient) monsoon rainfall years. However, <span class="hlt">lightning</span> increases with increasing aerosol during deficient rainfall years when the average value of AOD is less than 0.88. We have found that during deficient rainfall years the moisture content of the atmosphere and cloud fraction is smaller than that during the years with normal or excess monsoon rainfall over the north-west IGP. Over the north-east Bay of Bengal and its adjoining region the variations of moisture and cloud fraction between the deficient and normal rainfall years are minimal. We have found that the occurrence of the <span class="hlt">lightning</span> over this region is primarily due to its topography and localised circulation. The warm-dry air approaching from north-west converges with moist air emanating from the Bay of Bengal causing instability that creates an environment for deep convective cloud and <span class="hlt">lightning</span>. The relationship between <span class="hlt">lightning</span> and aerosol is stronger over the north-west sector of IGP than the north-east, whereas it is moderate over the central IGP. We conclude that aerosol is playing a major role in <span class="hlt">lightning</span> activity over the north-west sector of IGP, but, local meteorological conditions such as convergences of dry and moist air is the principal cause of <span class="hlt">lightning</span> over the north-east sector of IGP. In addition</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040082320&hterms=can+tornado&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dcan%2Bu%2Btornado%253F','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040082320&hterms=can+tornado&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dcan%2Bu%2Btornado%253F"><span>The LATEST Project: Operational Assessment of Total <span class="hlt">Lightning</span> Data in the U.S.</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven</p> <p>2004-01-01</p> <p>A government, university, and industry alliance has joined forces to transition total <span class="hlt">lightning</span> observations from ground-based research networks and <span class="hlt">NASA</span> satellites (LIS/TRMM) to improve the short range prediction of severe weather. This interest builds on the desire of the U.S Weather Research Program to foster a national Nowcasting Test Bed, with this specific transition activity initiated through the <span class="hlt">NASA</span> short-term Prediction Research and Transition (SPoRT) Center in Huntsville, AL. A kick-off national workshop sponsored by the SPoRT Center was held in Huntsville April 1-2 to identify the common goals and objectives of the research and operational community, and to assign roles and responsibilities within the alliance. The workshop agenda, presentations, and summary are available at the SPoRT Center Web site ( h h under the "Meetings" tab. The next national workshop is planned for 2005 in Dallas, TX. The <span class="hlt">NASA</span> North Alabama regional <span class="hlt">Lightning</span> Mapping Array &MA) has been operational in the Huntsville area for 3 years, and has continuously sampled a variety of severe weather systems during that period. A gridded version of the LMA total <span class="hlt">lightning</span> data is currently being supplied to National Weather Service offices in Huntsville, Nashville and Birmingham through the NWS AWES decision support system, for the purposes of assessing the utility of the data in the nowcasting of severe weather such as tornadoes, damaging straight line winds, flash flooding and other weather hazards (<span class="hlt">lightning</span> induced forest fires, microbursts). While the raw LMA data have been useful to NWS forecasters, even greater utility would be realized if higher-order data products could be supplied through AWIPS along with the gridded data over a larger domain. In 2003-2004 additional LMA systems have been deployed across the southern US. from Florida to New Mexico, providing an opportunity for more than 20 NWS forecast offices to evaluate the incremental value of total <span class="hlt">lightning</span> data in the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013AGUFMNG12A..02N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013AGUFMNG12A..02N"><span>Data assimilation of non-conventional observations using GEOS-R flash <span class="hlt">lightning</span>: 1D+4D-VAR approach vs. assimilation of <span class="hlt">images</span> (Invited)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Navon, M. I.; Stefanescu, R.</p> <p>2013-12-01</p> <p>Previous assimilation of <span class="hlt">lightning</span> used nudging approaches. We develop three approaches namely, 3D-VAR WRFDA and1D+nD-VAR (n=3,4) WRFDA . The present research uses Convective Available Potential Energy (CAPE) as a proxy between <span class="hlt">lightning</span> data and model variables. To test performance of aforementioned schemes, we assess quality of resulting analysis and forecasts of precipitation compared to those from a control experiment and verify them against NCEP stage IV precipitation. Results demonstrate that assimilating <span class="hlt">lightning</span> observations improves precipitation statistics during the assimilation window and for 3-7 h thereafter. The 1D+4D-VAR approach yielded the best performance significantly improving precipitation rmse errors by 25% and 27.5%,compared to control during the assimilation window for two tornadic test cases. Finally we propose a new approach to assimilate 2-D <span class="hlt">images</span> of <span class="hlt">lightning</span> flashes based on pixel intensity, mitigating dimensionality by a reduced order method.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050237927&hterms=Quality+risk+management&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DQuality%2Brisk%2Bmanagement','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050237927&hterms=Quality+risk+management&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3DQuality%2Brisk%2Bmanagement"><span>Pre-Launch GOES-R Risk Reduction Activities for the Geostationary <span class="hlt">Lightning</span> Mapper</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, S. J.; Blakeslee, R. J.; Boccippio, D. J.; Christian, H. J.; Koshak, W. J.; Petersen, W. A.</p> <p>2005-01-01</p> <p>. The GLM has a robust design that benefits and improves upon its strong heritage of <span class="hlt">NASA</span>-developed LEO predecessors, the Optical Transient Detector (OTD) and the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS). GLM will have a substantially larger number of pixels within the focal plane, two lens systems, and multiple Real-Time Event Processors REPS for on-board event detection and data compression to provide continuous observations of the Americas and adjacent oceans.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..122..423P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..122..423P"><span>The properties of optical <span class="hlt">lightning</span> flashes and the clouds they illuminate</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Peterson, Michael; Deierling, Wiebke; Liu, Chuntao; Mach, Douglas; Kalb, Christina</p> <p>2017-01-01</p> <p>Optical <span class="hlt">lightning</span> sensors like the Optical Transient Detector and <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) measure total <span class="hlt">lightning</span> across large swaths of the globe with high detection efficiency. With two upcoming missions that employ these sensors - LIS on the International Space Station and the Geostationary <span class="hlt">Lightning</span> Mapper on the GOES-R satellite - there has been increased interest in what these measurements can reveal about <span class="hlt">lightning</span> and thunderstorms in addition to total flash activity. Optical <span class="hlt">lightning</span> <span class="hlt">imagers</span> are capable of observing the characteristics of individual flashes that include their sizes, durations, and radiative energies. However, it is important to exercise caution when interpreting trends in optical flash measurements because they can be affected by the scene. This study uses coincident measurements from the Tropical Rainfall Measuring Mission (TRMM) satellite to examine the properties of LIS flashes and the surrounding cloud regions they illuminate. These combined measurements are used to assess to what extent optical flash characteristics can be used to make inferences about flash structure and energetics. Clouds illuminated by <span class="hlt">lightning</span> over land and ocean regions that are otherwise similar based on TRMM measurements are identified. Even when LIS flashes occur in similar clouds and background radiances, oceanic flashes are still shown to be larger, brighter, longer lasting, more prone to horizontal propagation, and to contain more groups than their land-based counterparts. This suggests that the optical trends noted in literature are not entirely the result of radiative transfer effects but rather stem from physical differences in the flashes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20030069011','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20030069011"><span>Lessons Learned from <span class="hlt">NASA</span> UAV Science Demonstration Program Missions</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wegener, Steven S.; Schoenung, Susan M.</p> <p>2003-01-01</p> <p>During the summer of 2002, two airborne missions were flown as part of a <span class="hlt">NASA</span> Earth Science Enterprise program to demonstrate the use of uninhabited aerial vehicles (UAVs) to perform earth science. One mission, the Altus Cumulus Electrification Study (ACES), successfully measured <span class="hlt">lightning</span> storms in the vicinity of Key West, Florida, during storm season using a high-altitude Altus(TM) UAV. In the other, a solar-powered UAV, the Pathfinder Plus, flew a high-resolution <span class="hlt">imaging</span> mission over coffee fields in Kauai, Hawaii, to help guide the harvest.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/8848654','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/8848654"><span><span class="hlt">Lightning</span> and transportation.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Cherington, M</p> <p>1995-12-01</p> <p>It is a little-known fact that <span class="hlt">lightning</span> casualties often involve travel or transportation. López and colleagues, in their studies on the epidemiology of <span class="hlt">lightning</span> injuries, have reported that 10% of <span class="hlt">lightning</span> injuries are categorized under transportation. In the majority of their cases, victims were struck while standing outside or near their vehicles during a thunderstorm. During my review of the neurologic complications of <span class="hlt">lightning</span> injuries, I was impressed by the number of case reports in which the victim was struck while either in or near a vehicle, airplane or vessel. In this article, I shall put forth information on four aspects of <span class="hlt">lightning</span> that relate to the danger to people traveling in vehicles, boats, and airplanes. First, I shall deal with <span class="hlt">lightning</span> safety on ships and boats. People who enjoy recreational sailing, including the "weekend sailor" and those who enjoy fishing from a boat, should be fortified with knowledge about <span class="hlt">lightning</span> protection. Second, I shall consider the matter of <span class="hlt">lightning</span> strikes to aircraft. In the third section, I shall discuss the question of <span class="hlt">lightning</span> safety in automobiles. Fourth, I shall review those cases found in my literature review in which the victim was struck while in or near a vehicle, boat, or airplane.</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://ntrs.nasa.gov/search.jsp?R=19990097320&hterms=Time+Series+Design&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DTime%2BSeries%2BDesign','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990097320&hterms=Time+Series+Design&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3DTime%2BSeries%2BDesign"><span>The Design and Evaluation of the Lighting <span class="hlt">Imaging</span> Sensor Data Applications Display (LISDAD)</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boldi, B.; Hodanish, S.; Sharp, D.; Williams, E.; Goodman, Steven; Raghavan, R.; Matlin, A.; Weber, M.</p> <p>1998-01-01</p> <p>The design and evaluation of the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor Data Applications Display (LISDAD). The ultimate goal of the LISDAD system is to quantify the utility of total <span class="hlt">lightning</span> information in short-term, severe-weather forecasting operations. To this end, scientists from <span class="hlt">NASA</span>, NWS, and MIT organized an effort to study the relationship of <span class="hlt">lightning</span> and severe-weather on a storm-by-storm, and even cell-by-cell basis for as many storms as possible near Melbourne, Florida. Melbourne was chosen as it offers a unique combination of high probability of severe weather and proximity to major relevant sensors - specifically: <span class="hlt">NASA</span>'s total <span class="hlt">lightning</span> mapping system at Kennedy Space Center (the LDAR system at KSC); a NWS/NEXRAD radar (at Melbourne); and a prototype Integrated Terminal Weather System (ITWS, at Orlando), which obtains cloud-to-ground <span class="hlt">lightning</span> Information from the National <span class="hlt">Lightning</span> Detection Network (NLDN), and also uses NSSL's Severe Storm Algorithm (NSSL/SSAP) to obtain information about various storm-cell parameters. To assist in realizing this project's goal, an interactive, real-time data processing system (the LISDAD system) has been developed that supports both operational short-term weather forecasting and post facto severe-storm research. Suggestions have been drawn from the operational users (NWS/Melbourne) in the design of the data display and its salient behavior. The initial concept for the users Graphical Situation Display (GSD) was simply to overlay radar data with <span class="hlt">lightning</span> data, but as the association between rapid upward trends in the total <span class="hlt">lightning</span> rate and severe weather became evident, the display was significantly redesigned. The focus changed to support the display of time series of storm-parameter data and the automatic recognition of cells that display rapid changes in the total-<span class="hlt">lightning</span> flash rate. The latter is calculated by grouping discrete LDAR radiation sources into <span class="hlt">lightning</span> flashes using a time-space association algorithm</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE33A2516S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE33A2516S"><span>Utilizing ISS Camera Systems for Scientific Analysis of <span class="hlt">Lightning</span> Characteristics and comparison with ISS-LIS and GLM</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Schultz, C. J.; Lang, T. J.; Leake, S.; Runco, M.; Blakeslee, R. J.</p> <p>2017-12-01</p> <p>Video and still frame <span class="hlt">images</span> from cameras aboard the International Space Station (ISS) are used to inspire, educate, and provide a unique vantage point from low-Earth orbit that is second to none; however, these cameras have overlooked capabilities for contributing to scientific analysis of the Earth and near-space environment. The goal of this project is to study how georeferenced video/<span class="hlt">images</span> from available ISS camera systems can be useful for scientific analysis, using <span class="hlt">lightning</span> properties as a demonstration. Camera <span class="hlt">images</span> from the crew cameras and high definition video from the Chiba University Meteor Camera were combined with <span class="hlt">lightning</span> data from the National <span class="hlt">Lightning</span> Detection Network (NLDN), ISS-<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (ISS-LIS), the Geostationary <span class="hlt">Lightning</span> Mapper (GLM) and <span class="hlt">lightning</span> mapping arrays. These cameras provide significant spatial resolution advantages ( 10 times or better) over ISS-LIS and GLM, but with lower temporal resolution. Therefore, they can serve as a complementarity analysis tool for studying <span class="hlt">lightning</span> and thunderstorm processes from space. <span class="hlt">Lightning</span> sensor data, Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) derived city light maps, and other geographic databases were combined with the ISS attitude and position data to reverse geolocate each <span class="hlt">image</span> or frame. An open-source Python toolkit has been developed to assist with this effort. Next, the locations and sizes of all flashes in each frame or <span class="hlt">image</span> were computed and compared with flash characteristics from all available <span class="hlt">lightning</span> datasets. This allowed for characterization of cloud features that are below the 4-km and 8-km resolution of ISS-LIS and GLM which may reduce the light that reaches the ISS-LIS or GLM sensor. In the case of video, consecutive frames were overlaid to determine the rate of change of the light escaping cloud top. Characterization of the rate of change in geometry, more generally the radius, of light escaping cloud top was integrated with the NLDN, ISS-LIS and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19920004303','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19920004303"><span>Application of <span class="hlt">lightning</span> data to satellite-based rainfall estimation</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Martin, David W.; Hinton, Barry B.; Auvine, Brian A.</p> <p>1991-01-01</p> <p>Information on <span class="hlt">lightning</span> may improve rain estimates made from infrared <span class="hlt">images</span> of a geostationary satellite. We address this proposition through a case from the Cooperative Huntsville Meteorological Experiment (COHMEX). During the afternoon and evening of 13 July 1986 waves of showers and thunderstorms developed over and near the lower Tennessee River Valley. For the shower and thunderstorm region within 200 km of the National Weather Service radar at Nashville, Tennessee, we measure cold-cloud area in a sequence of GOES infrared <span class="hlt">images</span> covering all but the end of the shower and thunderstorm period. From observations of the <span class="hlt">NASA</span>/Marshall direction-finding network in this small domain, we also count cloud-to-ground <span class="hlt">lightning</span> flashes and, from scans of the Nashville radar, we calculate volume rain flux. Using a modified version of the Williams and Houze scheme, over an area within roughly 240 km of the radar (the large domain), we identify and track cold cloud systems. For these systems, over the large domain, we measure area and count flashes; over the small domain, we calculate volume rain flux. For a temperature threshold of 235K, peak cloud area over the small domain lags both peak rain flux and peak flash count by about four hours. At a threshold of 226K, the lag is about two hours. Flashes and flux are matched in phase. Over the large domain, nine storm systems occur. These range in size from 300 to 60,000 km(exp 2); in lifetime, from about 2 1/2 h to 6 h or more. Storm system area lags volume rain flux and flash count; nevertheless, it is linked with these variables. In essential respects the associations were the same when clouds were defined by a threshold of 226K. Tentatively, we conclude that flash counts complement infrared <span class="hlt">images</span> in providing significant additional information on rain flux.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20150013993','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20150013993"><span>Establishing a Disruptive New Capability for <span class="hlt">NASA</span> to Fly UAV's into Hazardous Conditions</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ely, Jay; Nguyen, Truong; Wilson, Jennifer; Brown, Robert; Laughter, Sean; Teets, Ed; Parker, Allen; Chan, Patrick Hon Man; Richards, Lance</p> <p>2015-01-01</p> <p>A 2015 <span class="hlt">NASA</span> Aeronautics Mission "Seedling" Proposal is described for a Severe-Environment UAV (SE-UAV) that can perform in-situ measurements in hazardous atmospheric conditions like <span class="hlt">lightning</span>, volcanic ash and radiation. Specifically, this paper describes the design of a proof-of-concept vehicle and measurement system that can survive <span class="hlt">lightning</span> attachment during flight operations into thunderstorms. Elements from three <span class="hlt">NASA</span> centers draw together for the SE-UAV concept. 1) The <span class="hlt">NASA</span> KSC Genesis UAV was developed in collaboration with the DARPA Nimbus program to measure electric field and X-rays present within thunderstorms. 2) A novel <span class="hlt">NASA</span> LaRC fiber-optic sensor uses Faraday-effect polarization rotation to measure total <span class="hlt">lightning</span> electric current on an air vehicle fuselage. 3) <span class="hlt">NASA</span> AFRC's state-of-the-art Fiber Optics and Systems Integration Laboratory is envisioned to transition the Faraday system to a compact, light-weight, all-fiber design. The SE-UAV will provide in-flight <span class="hlt">lightning</span> electric-current return stroke and recoil leader data, and serve as a platform for development of emerging sensors and new missions into hazardous environments. <span class="hlt">NASA</span>'s Aeronautics and Science Missions are interested in a capability to perform in-situ volcanic plume measurements and long-endurance UAV operations in various weather conditions. (Figure 1 shows an artist concept of a SE-UAV flying near a volcano.) This paper concludes with an overview of the <span class="hlt">NASA</span> Aeronautics Strategic Vision, Programs, and how a SE-UAV is envisioned to impact them. The SE-UAV concept leverages high-value legacy research products into a new capability for <span class="hlt">NASA</span> to fly a pathfinder UAV into hazardous conditions, and is presented in the SPIE DSS venue to explore teaming, collaboration and advocacy opportunities outside <span class="hlt">NASA</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015SPIE.9468E..0SE','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015SPIE.9468E..0SE"><span>Establishing a disruptive new capability for <span class="hlt">NASA</span> to fly UAV's into hazardous conditions</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ely, Jay; Nguyen, Truong; Wilson, Jennifer; Brown, Robert; Laughter, Sean; Teets, Ed; Parker, Allen; Chan, Hon M.; Richards, Lance</p> <p>2015-05-01</p> <p>A 2015 <span class="hlt">NASA</span> Aeronautics Mission "Seedling" Proposal is described for a Severe-Environment UAV (SE-UAV) that can perform in-situ measurements in hazardous atmospheric conditions like <span class="hlt">lightning</span>, volcanic ash and radiation. Specifically, this paper describes the design of a proof-of-concept vehicle and measurement system that can survive <span class="hlt">lightning</span> attachment during flight operations into thunderstorms. Elements from three <span class="hlt">NASA</span> centers draw together for the SE-UAV concept. 1) The <span class="hlt">NASA</span> KSC Genesis UAV was developed in collaboration with the DARPA Nimbus program to measure electric field and X-rays present within thunderstorms. 2) A novel <span class="hlt">NASA</span> LaRC fiber-optic sensor uses Faraday-effect polarization rotation to measure total <span class="hlt">lightning</span> electric current on an air vehicle fuselage. 3) <span class="hlt">NASA</span> AFRC's state-of-the-art Fiber Optics and Systems Integration Laboratory is envisioned to transition the Faraday system to a compact, light-weight, all-fiber design. The SE-UAV will provide in-flight <span class="hlt">lightning</span> electric-current return stroke and recoil leader data, and serve as a platform for development of emerging sensors and new missions into hazardous environments. <span class="hlt">NASA</span>'s Aeronautics and Science Missions are interested in a capability to perform in-situ volcanic plume measurements and long-endurance UAV operations in various weather conditions. (Figure 1 shows an artist concept of a SE-UAV flying near a volcano.) This paper concludes with an overview of the <span class="hlt">NASA</span> Aeronautics Strategic Vision, Programs, and how a SE-UAV is envisioned to impact them. The SE-UAV concept leverages high-value legacy research products into a new capability for <span class="hlt">NASA</span> to fly a pathfinder UAV into hazardous conditions, and is presented in the SPIE DSS venue to explore teaming, collaboration and advocacy opportunities outside <span class="hlt">NASA</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3295.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3295.html"><span>Constructing <span class="hlt">lightning</span> towers for the Constellation Program and</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-11-09</p> <p>On Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center, the crane crawler lifts a piling off a truck. The piling will be pounded into the ground to help construct <span class="hlt">lightning</span> towers for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140011605','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140011605"><span>The Kinematic and Microphysical Control of <span class="hlt">Lightning</span> Rate, Extent and NOX Production</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Carey, Lawrence; Koshak, William; Peterson, Harold; Matthee, Retha; Bain, A. Lamont</p> <p>2014-01-01</p> <p>The Deep Convective Clouds and Chemistry (DC3) experiment seeks to quantify the relationship between storm physics, <span class="hlt">lightning</span> characteristics and the production of nitrogen oxides via <span class="hlt">lightning</span> (LNOx). The focus of this study is to investigate the kinematic and microphysical control of <span class="hlt">lightning</span> properties, particularly those that may govern LNOx production, such as flash rate, type and extent across Alabama during DC3. Prior studies have demonstrated that <span class="hlt">lightning</span> flash rate and type is correlated to kinematic and microphysical properties in the mixed-phase region of thunderstorms such as updraft volume and graupel mass. More study is required to generalize these relationships in a wide variety of storm modes and meteorological conditions. Less is known about the co-evolving relationship between storm physics, morphology and three-dimensional flash extent, despite its importance for LNOx production. To address this conceptual gap, the <span class="hlt">NASA</span> <span class="hlt">Lightning</span> Nitrogen Oxides Model (LNOM) is applied to North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA) and Vaisala National <span class="hlt">Lightning</span> Detection Network(TM) (NLDN) observations following ordinary convective cells through their lifecycle. LNOM provides estimates of flash rate, flash type, channel length distributions, <span class="hlt">lightning</span> segment altitude distributions (SADs) and <span class="hlt">lightning</span> NOx production profiles. For this study, LNOM is applied in a Lagrangian sense to multicell thunderstorms over Northern Alabama on two days during DC3 (21 May and 11 June 2012) in which aircraft observations of NOx are available for comparison. The LNOM <span class="hlt">lightning</span> characteristics and LNOX production estimates are compared to the evolution of updraft and precipitation properties inferred from dual-Doppler and polarimetric radar analyses applied to observations from a nearby radar network, including the UAH Advanced Radar for Meteorological and Operational Research (ARMOR). Given complex multicell evolution, particular attention is paid to storm morphology, cell</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AGUFMAE13A0414L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AGUFMAE13A0414L"><span>High Speed Video Observations of Natural <span class="hlt">Lightning</span> and Their Implications to Fractal Description of <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liu, N.; Tilles, J.; Boggs, L.; Bozarth, A.; Rassoul, H.; Riousset, J. A.</p> <p>2016-12-01</p> <p>Recent high speed video observations of triggered and natural <span class="hlt">lightning</span> flashes have significantly advanced our understanding of <span class="hlt">lightning</span> initiation and propagation. For example, they have helped resolve the initiation of <span class="hlt">lightning</span> leaders [Stolzenburg et al., JGR, 119, 12198, 2014; Montanyà et al, Sci. Rep., 5, 15180, 2015], the stepping of negative leaders [Hill et al., JGR, 116, D16117, 2011], the structure of streamer zone around the leader [Gamerota et al., GRL, 42, 1977, 2015], and transient rebrightening processes occurring during the leader propagation [Stolzenburg et al., JGR, 120, 3408, 2015]. We started an observational campaign in the summer of 2016 to study <span class="hlt">lightning</span> by using a Phantom high-speed camera on the campus of Florida Institute of Technology, Melbourne, FL. A few interesting natural cloud-to-ground and intracloud <span class="hlt">lightning</span> discharges have been recorded, including a couple of 8-9 stroke flashes, high peak current flashes, and upward propagating return stroke waves from ground to cloud. The videos show that the propagation of the downward leaders of cloud-to-ground <span class="hlt">lightning</span> discharges is very complex, particularly for the high-peak current flashes. They tend to develop as multiple branches, and each of them splits repeatedly. For some cases, the propagation characteristics of the leader, such as speed, are subject to sudden changes. In this talk, we present several selected cases to show the complexity of the leader propagation. One of the effective approaches to characterize the structure and propagation of <span class="hlt">lightning</span> leaders is the fractal description [Mansell et al., JGR, 107, 4075, 2002; Riousset et al., JGR, 112, D15203, 2007; Riousset et al., JGR, 115, A00E10, 2010]. We also present a detailed analysis of the high-speed <span class="hlt">images</span> of our observations and formulate useful constraints to the fractal description. Finally, we compare the obtained results with fractal simulations conducted by using the model reported in [Riousset et al., 2007</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19810017089','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19810017089"><span><span class="hlt">Lightning</span> detection from Space Science and Applications Team review. [optical and radio frequency sensors</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Few, A. A., Jr.</p> <p>1981-01-01</p> <p>The various needs for <span class="hlt">lightning</span> data that exist among potential users of satellite <span class="hlt">lightning</span> data were identified and systems were defined which utilize the optical and radio frequency radiations from <span class="hlt">lightning</span> to serve as the satellite based <span class="hlt">lightning</span> mapper. Three teams worked interactively with <span class="hlt">NASA</span> to develop a system concept. An assessment of the results may be summarized as follows: (1) a small sensor system can be easily designed to operate on a geostationary satellite that can provide the bulk of the real time user requirements; (2) radio frequency systems in space may be feasible but would be much larger and more costly; RF technology for this problem lags the optical technology by years; and (3) a hybrid approach (optical in space and RF on the ground) would provide the most complete information but is probably unreasonably complex and costly at this time.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008PhDT........94L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008PhDT........94L"><span>Investigating <span class="hlt">lightning</span>-to-ionosphere energy coupling based on VLF <span class="hlt">lightning</span> propagation characterization</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Lay, Erin Hoffmann</p> <p></p> <p>In this dissertation, the capabilities of the World-Wide <span class="hlt">Lightning</span> Location Network (WWLLN) are analyzed in order to study the interactions of <span class="hlt">lightning</span> energy with the lower ionosphere. WWLLN is the first global ground-based <span class="hlt">lightning</span> location network and the first <span class="hlt">lightning</span> detection network that continuously monitors <span class="hlt">lightning</span> around the world in real time. For this reason, a better characterization of the WWLLN could allow many global atmospheric science problems to be addressed, including further investigation into the global electric circuit and global mapping of regions of the lower ionosphere likely to be impacted by strong <span class="hlt">lightning</span> and transient luminous events. This dissertation characterizes the World-Wide Location Network (WWLLN) in terms of detection efficiency, location and timing accuracy, and <span class="hlt">lightning</span> type. This investigation finds excellent timing and location accuracy for WWLLN. It provides the first experimentally-determined estimate of relative global detection efficiency that is used to normalize <span class="hlt">lightning</span> counts based on location. These normalized global <span class="hlt">lightning</span> data from the WWLLN are used to map intense storm regions around the world with high time and spatial resolution as well as to provide information on energetic emissions known as elves and terrestrial gamma-ray flashes (TGFs). This dissertation also improves WWLLN by developing a procedure to provide the first estimate of relative <span class="hlt">lightning</span> stroke radiated energy in the 1-24 kHz frequency range by a global <span class="hlt">lightning</span> detection network. These characterizations and improvements to WWLLN are motivated by the desire to use WWLLN data to address the problem of <span class="hlt">lightning</span>-to-ionosphere energy coupling. Therefore, WWLLN stroke rates are used as input to a model, developed by Professor Mengu Cho at the Kyushu Institute of Technology in Japan, that describes the non-linear effect of <span class="hlt">lightning</span> electromagnetic pulses (EMP) on the ionosphere by accumulating electron density changes resulting</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=PIA02821&hterms=spot&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dspot','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=PIA02821&hterms=spot&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dspot"><span>Jupiter's Great Red Spot in Cassini <span class="hlt">image</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>2000-01-01</p> <p><p/>This true color <span class="hlt">image</span> of Jupiter, taken by <span class="hlt">NASA</span>'s Cassini spacecraft, is composed of three <span class="hlt">images</span> taken in the blue, green and red regions of the spectrum. All <span class="hlt">images</span> were taken from a distance of 77.6 million kilometers (48.2 million miles) on Oct. 8, 2000.<p/>Different chemical compositions of the cloud particles lead to different colors. The cloud patterns reflect different physical conditions -- updrafts and downdrafts -- in which the clouds form. The bluish areas are believed to be regions devoid of clouds and covered by high haze.<p/>The Great Red Spot (below and to the right of center) is a giant atmospheric storm as wide as two Earths and over 300 years old, with peripheral winds of 483 kilometers per hour (300 miles per hour). This <span class="hlt">image</span> shows that it is trailed to the north by a turbulent region, caused by atmospheric flow around the spot.<p/>The bright white spots in this region are <span class="hlt">lightning</span> storms, which were seen by <span class="hlt">NASA</span>'s Galileo spacecraft when it photographed the night side of Jupiter. Cassini will track these <span class="hlt">lightning</span> storms and measure their lifetimes and motions when it passes Jupiter in late December and looks back on the darkside of the planet. Cassini is currently en route to its ultimate destination, Saturn.<p/>The resolution is 466 kilometers (290 miles) per picture element.<p/>Cassini is a cooperative project of <span class="hlt">NASA</span>, the European Space Agency and the Italian Space Agency. The Jet Propulsion Laboratory, a division of the California Institute of Technology in Pasadena, Calif., manages the Cassini mission for <span class="hlt">NASA</span>'s Office of Space Science, Washington, D.C.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002118.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002118.html"><span><span class="hlt">NASA</span> Satellite <span class="hlt">Image</span> of Tropical Cyclone Ului</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> <span class="hlt">image</span> acquired March 18, 2010. Tropical Cyclone Ului persisted south of the Solomon Islands on March 18, 2010. A bulletin from the U.S. Navy’s Joint Typhoon Warning Center (JTWC) issued the same day reported that the cyclone had maximum sustained winds of 80 knots (150 kilometers per hour) and gusts up to 100 knots (185 kilometers per hour). Although still strong, the wind speeds had significantly diminished over the previous few days. The Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) on NASA’s Terra satellite captured this true-color <span class="hlt">image</span> of the storm on March 18, 2010. North of the storm lie the Solomon Islands (shown in the high-resolution <span class="hlt">image</span>). Southeast of the storm is New Caledonia. Ului’s eye appears to span 100 kilometers (60 miles) and the whole storm spans several hundred kilometers. As of 15:00 UTC on March 18 (2:00 a.m. on March 19 in Sydney, Australia), Ului was roughly 670 nautical miles (1,240 kilometers) east of Cairns, Australia. The JTWC reported that Ului had been moving southward and was expected to turn west and accelerate toward Australia. The JTWC forecast that Ului would make landfall over the northeastern Queensland coast and diminish over land. <span class="hlt">NASA</span> <span class="hlt">image</span> courtesy Jeff Schmaltz, MODIS Rapid Response Team at <span class="hlt">NASA</span> GSFC. Caption by Michon Scott. Instrument: Terra - MODIS To learn more about this <span class="hlt">image</span> go to: earthobservatory.<span class="hlt">nasa</span>.gov/NaturalHazards/view.php?id=43180</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140002740','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140002740"><span>Common Practice <span class="hlt">Lightning</span> Strike Protection Characterization Technique to Quantify Damage Mechanisms on Composite Substrates</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Szatkowski, George N.; Dudley, Kenneth L.; Koppen, Sandra V.; Ely, Jay J.; Nguyen, Truong X.; Ticatch, Larry A.; Mielnik, John J.; Mcneill, Patrick A.</p> <p>2013-01-01</p> <p>To support FAA certification airworthiness standards, composite substrates are subjected to <span class="hlt">lightning</span> direct-effect electrical waveforms to determine performance characteristics of the <span class="hlt">lightning</span> strike protection (LSP) conductive layers used to protect composite substrates. Test results collected from independent LSP studies are often incomparable due to variability in test procedures & applied practices at different organizations, which impairs performance correlations between different LSP data sets. Under a <span class="hlt">NASA</span> supported contract, The Boeing Company developed technical procedures and documentation as guidance in order to facilitate a test method for conducting universal common practice <span class="hlt">lightning</span> strike protection test procedures. The procedures obtain conformity in future <span class="hlt">lightning</span> strike protection evaluations to allow meaningful performance correlations across data sets. This universal common practice guidance provides the manufacturing specifications to fabricate carbon fiber reinforced plastic (CFRP) test panels, including finish, grounding configuration, and acceptable methods for pretest nondestructive inspection (NDI) and posttest destructive inspection. The test operations guidance elaborates on the provisions contained in SAE ARP5416 to address inconsistencies in the generation of damage protection performance data, so as to provide for maximum achievable correlation across capable lab facilities. In addition, the guidance details a direct effects test bed design to aid in quantification of the multi-physical phenomena surrounding a <span class="hlt">lightning</span> direct attachment supporting validation data requirements for the development of predictive computational modeling. The <span class="hlt">lightning</span> test bed is designed to accommodate a repeatable installation procedure to secure the test panel and eliminate test installation uncertainty. It also facilitates a means to capture the electrical waveform parameters in 2 dimensions, along with the mechanical displacement and thermal</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130001849','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130001849"><span>The Kinematic and Microphysical Control of Storm Integrated <span class="hlt">Lightning</span> Flash Extent</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Carey, Lawrence; Koshak, William; Petersen, Harold; Schultz, Elise; Schultz, Chris; Matthee, Retha; Bain, Lamont</p> <p>2012-01-01</p> <p>The objective of this preliminary study is to investigate the kinematic and microphysical control of <span class="hlt">lightning</span> properties, particularly those that may govern the production of nitrogen oxides (NOx) in thunderstorms, such as flash rate, type and extent. The mixed-phase region is where the noninductive charging (NIC) process is thought to generate most storm electrification during rebounding collisions between ice particles in the presence of supercooled water. As a result, prior radar-based studies have demonstrated that <span class="hlt">lightning</span> flash rate is well correlated to kinematic and microphysical properties in the mixed-phase region of thunderstorms such as updraft volume, graupel mass, or ice mass flux. There is also some evidence that <span class="hlt">lightning</span> type is associated with the convective state. Intracloud (IC) <span class="hlt">lightning</span> tends to dominate during the updraft accumulation of precipitation ice mass while cloud-to-ground (CG) <span class="hlt">lightning</span> is more numerous during the downdraft-driven descent of radar echo associated with graupel and hail. More study is required to generalize these relationships, especially regarding <span class="hlt">lightning</span> type, in a wide variety of storm modes and meteorological conditions. Less is known about the co-evolving relationship between storm kinematics, microphysics, morphology and three-dimensional flash extent, despite its importance for <span class="hlt">lightning</span> NOx production. To address this conceptual gap, the <span class="hlt">NASA</span> MSFC <span class="hlt">Lightning</span> Nitrogen Oxides Model (LNOM) is applied to North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA) and Vaisala National <span class="hlt">Lightning</span> Detection NetworkTM (NLDN) observations following ordinary convective cells through their lifecycle. LNOM provides estimates of flash type, channel length distributions, <span class="hlt">lightning</span> segment altitude distributions (SADs) and <span class="hlt">lightning</span> NOx production profiles. For this study, LNOM is applied in a Lagrangian sense to well isolated convective cells on 3 April 2007 (single cell and multi-cell hailstorm, non-severe multicell) and 6 July 2007</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002169.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002169.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></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>Scientists presented the first <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory [SDO] during a special "first light" press conference, Wednesday, April 21 2010, at held at the Newseum in Washington DC. Credit: <span class="hlt">NASA</span>/GSFC</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/servlets/purl/1369034','SCIGOV-STC'); return false;" href="https://www.osti.gov/servlets/purl/1369034"><span>What Initiates <span class="hlt">Lightning</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>None</p> <p></p> <p><span class="hlt">Lightning</span> is an energetic electric discharge, creating a current that flows briefly within a cloud--or between a cloud and the ground--and heating the air to temperatures about five times hotter than the sun’s surface. But there’s a lot about <span class="hlt">lightning</span> that’s still a mystery. Los Alamos National Laboratory is working to change that. Because <span class="hlt">lightning</span> produces optical and radio frequency signals similar to those from a nuclear explosion, it’s important to be able to distinguish whether such signals are caused by <span class="hlt">lightning</span> or a nuclear event. As part of the global security mission at Los Alamos, scientists use <span class="hlt">lightning</span> tomore » help develop better instruments for nuclear test-ban treaty monitoring and, in the process, have learned a lot about <span class="hlt">lightning</span> itself.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120014977','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120014977"><span>Relationships Between Long-Range <span class="hlt">Lightning</span> Networks and TRMM/LIS Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rudlosky, Scott D.; Holzworth, Robert H.; Carey, Lawrence D.; Schultz, Chris J.; Bateman, Monte; Cummins, Kenneth L.; Cummins, Kenneth L.; Blakeslee, Richard J.; Goodman, Steven J.</p> <p>2012-01-01</p> <p>Recent advances in long-range <span class="hlt">lightning</span> detection technologies have improved our understanding of thunderstorm evolution in the data sparse oceanic regions. Although the expansion and improvement of long-range <span class="hlt">lightning</span> datasets have increased their applicability, these applications (e.g., data assimilation, atmospheric chemistry, and aviation weather hazards) require knowledge of the network detection capabilities. The present study intercompares long-range <span class="hlt">lightning</span> data with observations from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) aboard the Tropical Rainfall Measurement Mission (TRMM) satellite. The study examines network detection efficiency and location accuracy relative to LIS observations, describes spatial variability in these performance metrics, and documents the characteristics of LIS flashes that are detected by the long-range networks. Improved knowledge of relationships between these datasets will allow researchers, algorithm developers, and operational users to better prepare for the spatial and temporal coverage of the upcoming GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000678.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000678.html"><span><span class="hlt">NASA</span> Captures 'EPIC' Earth <span class="hlt">Image</span></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>A <span class="hlt">NASA</span> camera on the Deep Space Climate Observatory satellite has returned its first view of the entire sunlit side of Earth from one million miles away. This color <span class="hlt">image</span> of Earth was taken by NASA’s Earth Polychromatic <span class="hlt">Imaging</span> Camera (EPIC), a four megapixel CCD camera and telescope. The <span class="hlt">image</span> was generated by combining three separate <span class="hlt">images</span> to create a photographic-quality <span class="hlt">image</span>. The camera takes a series of 10 <span class="hlt">images</span> using different narrowband filters -- from ultraviolet to near infrared -- to produce a variety of science products. The red, green and blue channel <span class="hlt">images</span> are used in these color <span class="hlt">images</span>. The <span class="hlt">image</span> was taken July 6, 2015, showing North and Central America. The central turquoise areas are shallow seas around the Caribbean islands. This Earth <span class="hlt">image</span> shows the effects of sunlight scattered by air molecules, giving the <span class="hlt">image</span> a characteristic bluish tint. The EPIC team is working to remove this atmospheric effect from subsequent <span class="hlt">images</span>. Once the instrument begins regular data acquisition, EPIC will provide a daily series of Earth <span class="hlt">images</span> allowing for the first time study of daily variations over the entire globe. These <span class="hlt">images</span>, available 12 to 36 hours after they are acquired, will be posted to a dedicated web page by September 2015. The primary objective of DSCOVR, a partnership between <span class="hlt">NASA</span>, the National Oceanic and Atmospheric Administration (NOAA) and the U.S. Air Force, is to maintain the nation’s real-time solar wind monitoring capabilities, which are critical to the accuracy and lead time of space weather alerts and forecasts from NOAA. For more information about DSCOVR, visit: www.nesdis.noaa.gov/DSCOVR/</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19840039902&hterms=rust&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Drust','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19840039902&hterms=rust&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Drust"><span><span class="hlt">Lightning</span> flash density versus altitude and storm structure from observations with UHF- and S-band radars</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mazur, V.; Gerlach, J. C.; Rust, W. D.</p> <p>1984-01-01</p> <p>The UHF-(70.5 cm wavelength) and S-band (10 cm wavelength) radar at <span class="hlt">NASA</span>/Wallops Island Research Facility in Virginia, U.S.A. have been used to relate <span class="hlt">lightning</span> activity with altitude and with the reflectivity structure of thunderstorms. Two centers of <span class="hlt">lightning</span> flash density were found; one between 6 and 8 km altitude and another between 11 and 15 km. Previously announced in STAR as N83-31206</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1989sbl..conf.....O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1989sbl..conf.....O"><span>Science of Ball <span class="hlt">Lightning</span> (Fire Ball)</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ohtsuki, Yoshi-Hiko</p> <p>1989-08-01</p> <p>The Table of Contents for the full book PDF is as follows: * Organizing Committee * Preface * Ball <span class="hlt">Lightning</span> -- The Continuing Challenge * Hungarian Ball <span class="hlt">Lightning</span> Observations in 1987 * Nature of Ball <span class="hlt">Lightning</span> in Japan * Phenomenological and Psychological Analysis of 150 Austrian Ball <span class="hlt">Lightning</span> Reports * Physical Problems and Physical Properties of Ball <span class="hlt">Lightning</span> * Statistical Analysis of the Ball <span class="hlt">Lightning</span> Properties * A Fluid-Dynamical Model for Ball <span class="hlt">Lightning</span> and Bead <span class="hlt">Lightning</span> * The Lifetime of Hill's Vortex * Electrical and Radiative Properties of Ball <span class="hlt">Lightning</span> * The Candle Flame as a Model of Ball <span class="hlt">Lightning</span> * A Model for Ball <span class="hlt">Lightning</span> * The High-Temperature Physico-Chemical Processes in the <span class="hlt">Lightning</span> Storm Atmosphere (A Physico-Chemical Model of Ball <span class="hlt">Lightning</span>) * New Approach to Ball <span class="hlt">Lightning</span> * A Calculation of Electric Field of Ball <span class="hlt">Lightning</span> * The Physical Explanation to the UFO over Xinjiang, Northern West China * Electric Reconnection, Critical Ionization Velocity, Ponderomotive Force, and Their Applications to Triggered and Ball <span class="hlt">Lightning</span> * The PLASMAK™ Configuration and Ball <span class="hlt">Lightning</span> * Experimental Research on Ball <span class="hlt">Lightning</span> * Performance of High-Voltage Test Facility Designed for Investigation of Ball <span class="hlt">Lightning</span> * List of Participants</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('http://hdl.handle.net/2060/20110007265','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110007265"><span>Combined Aircraft and Satellite-Derived Storm Electric Current and <span class="hlt">Lightning</span> Rates Measurements and Implications for the Global Electric Circuit</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mach, Douglas M.; Blakeslee, Richard J.; Bateman, Monte G.</p> <p>2010-01-01</p> <p>Using rotating vane electric field mills and Gerdien capacitors, we measured the electric field profile and conductivity during 850 overflights of electrified shower clouds and thunderstorms spanning regions including the Southeastern United States, the Western Atlantic Ocean, the Gulf of Mexico, Central America and adjacent oceans, Central Brazil, and the South Pacific. The overflights include storms over land and ocean, with and without <span class="hlt">lightning</span>, and with positive and negative fields above the storms. The measurements were made with the <span class="hlt">NASA</span> ER-2 and the Altus-II high altitude aircrafts. Peak electric fields, with <span class="hlt">lightning</span> transients removed, ranged from -1.0 kV/m to 16 kV/m, with a mean value of 0.9 kV/m. The median peak field was 0.29 kV/m. Integrating our electric field and conductivity data, we determined total conduction currents and flash rates for each overpass. With knowledge of the storm location (land or ocean) and type (with or without <span class="hlt">lightning</span>), we determine the mean currents by location and type. The mean current for ocean storms with <span class="hlt">lightning</span> is 1.6 A while the mean current for land storms with <span class="hlt">lightning</span> is 1.0 A. The mean current for oceanic storms without <span class="hlt">lightning</span> (i.e., electrified shower clouds) is 0.39 A and the mean current for land storms without <span class="hlt">lightning</span> is 0.13 A. Thus, on average, land storms with or without <span class="hlt">lightning</span> have about half the mean current as their corresponding oceanic storm counterparts. Over three-quarters (78%) of the land storms had detectable <span class="hlt">lightning</span>, while less than half (43%) of the oceanic storms had <span class="hlt">lightning</span>. We did not find any significant regional or latitudinal based patterns in our total conduction currents. By combining the aircraft derived storm currents and flash rates with diurnal <span class="hlt">lightning</span> statistics derived from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) and Optical Transient Detector (OTD) low Earth orbiting satellites, we reproduce the diurnal variation in the global electric circuit (i.e., the Carnegie</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2004EOSTr..85..110O','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2004EOSTr..85..110O"><span><span class="hlt">Lightning</span> Physics and Effects</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Orville, Richard E.</p> <p>2004-03-01</p> <p><span class="hlt">Lightning</span> Physics and Effects is not a <span class="hlt">lightning</span> book; it is a <span class="hlt">lightning</span> encyclopedia. Rarely in the history of science has one contribution covered a subject with such depth and thoroughness as to set the enduring standard for years, perhaps even decades, to come. This contribution covers all aspects of <span class="hlt">lightning</span>, including <span class="hlt">lightning</span> physics, <span class="hlt">lightning</span> protection, and the interaction of <span class="hlt">lightning</span> with a variety of objects and systems as well as the environment. The style of writing is well within the ability of the technical non-expert and anyone interested in <span class="hlt">lightning</span> and its effects. Potential readers will include physicists; engineers working in the power industry, communications, computer, and aviation industries; atmospheric scientists; geophysicists; meteorologists; atmospheric chemists; foresters; ecologists; physicians working in the area of electrical trauma; and, lastly, architects. This comprehensive reference volume contains over 300 illustrations, 70 tables with quantitative information, and over 6000 reference and bibliography entries.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19900062779&hterms=thunderstorm+protection&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dthunderstorm%2Bprotection','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19900062779&hterms=thunderstorm+protection&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dthunderstorm%2Bprotection"><span>Final results of the <span class="hlt">NASA</span> storm hazards program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Fisher, Bruce D.; Brown, Philip W.; Plumer, J. Anderson; Wunschel, Alfred J., Jr.</p> <p>1988-01-01</p> <p><span class="hlt">Lightning</span> swept-flash attachment patterns and the associated flight conditions were recorded from 1980-1986 during 1496 thunderstorm penetrations and 714 direct strikes with a <span class="hlt">NASA</span> F-1068 research airplane. These data were studied with an emphasis on <span class="hlt">lightning</span> avoidance by aircraft and on aircraft protection design. The individual <span class="hlt">lightning</span> attachment spots, along with crew comments and on-board photographic data were used to identify <span class="hlt">lightning</span> swept-flash attachment patterns and the orientations of the <span class="hlt">lightning</span> channels with respect to the airplane. The full-scale in-flight data were compared to results from scale-model arc-attachment tests. The airborne and scale-model data showed that any exterior surface of this airplane may be susceptible to direct <span class="hlt">lightning</span> attachment. In addition, the altitudes, ambient temperatures, and the relative turbulence and precipitation levels at which the strikes occurred in thunderstorms are summarized and discussed. It was found that the peak strike rate occurred at pressure altitudes betwen 38,000 ft and 40,000 ft, corresponding to ambient temperatures colder than -40 C.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100021010','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100021010"><span>Assessing Operational Total <span class="hlt">Lightning</span> Visualization Products</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Darden, Christopher B.; Nadler, David J.</p> <p>2010-01-01</p> <p>In May 2003, <span class="hlt">NASA</span>'s Short-term Prediction Research and Transition (SPoRT) program successfully provided total <span class="hlt">lightning</span> data from the North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA) to the National Weather Service (NWS) office in Huntsville, Alabama. The major accomplishment was providing the observations in real-time to the NWS in the native Advanced Weather Interactive Processing System (AWIPS) decision support system. Within days, the NALMA data were used to issue a tornado warning initiating seven years of ongoing support to the NWS' severe weather and situational awareness operations. With this success, SPoRT now provides real-time NALMA data to five forecast offices as well as working to transition data from total <span class="hlt">lightning</span> networks at Kennedy Space Center and the White Sands Missile Range to the surrounding NWS offices. The only NALMA product that has been transitioned to SPoRT's partner NWS offices is the source density product, available at a 2 km resolution in 2 min intervals. However, discussions with users of total <span class="hlt">lightning</span> data from other networks have shown that other products are available, ranging from spatial and temporal variations of the source density product to the creation of a flash extent density. SPoRT and the Huntsville, Alabama NWS are evaluating the utility of these variations as this has not been addressed since the initial transition in 2003. This preliminary analysis will focus on what products will best support the operational warning decision process. Data from 19 April 2009 are analyzed. On this day, severe thunderstorms formed ahead of an approaching cold front. Widespread severe weather was observed, primarily south of the Tennessee River with multiple, weak tornadoes, numerous severe hail reports, and wind. This preliminary analysis is the first step in evaluation which product(s) are best suited for operations. The ultimate goal is selecting a single product for use with all total <span class="hlt">lightning</span> networks to streamline training and</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFM.A53D3252A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFM.A53D3252A"><span><span class="hlt">Lightning</span> NOx Production and Transport in the 29 May 2012 DC3 case: A Modeling Study Using Radar Data Assimilation and a Branched <span class="hlt">Lightning</span> Simulation.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Allen, B. J.; Mansell, E. R.; Betten, D.</p> <p>2014-12-01</p> <p>Open questions exist regarding chemical transport by convection and the sensitivity of <span class="hlt">Lightning</span> Nitrogen Oxide (LNOx) production to flash type (IC vs. CG), channel height, and channel length. To help answer these and other questions, the Deep Convective Clouds and Chemistry (DC3) field project was conducted during the spring of 2012. On 29 May 2012, observations of an Oklahoma supercell were collected by two mobile SMART-R radars, the mobile NOXP radar, multiple NEXRAD radars, the Oklahoma <span class="hlt">Lightning</span> Mapping Array (LMA), and the NSF/NCAR HIAPER and <span class="hlt">NASA</span> DC-8 aircraft. In this study, data from the mobile and NEXRAD radars are assimilated into the NSSL COMMAS model using the Ensemble Kalman Filter, beginning shortly after initiation of convection and ending when the aircraft made their final measurements of the storm's outflow. The model analyses produce a realistic representation of the kinematic character of the storm throughout this time period. COMMAS includes the NSSL multimoment microphysics, explicit cloud electrification, and a branched <span class="hlt">lightning</span> discharge scheme, which is used to produce LNOx within the model via a method dependent upon air pressure and <span class="hlt">lightning</span> channel length. Model results will be presented and compared to radar, <span class="hlt">lightning</span>, and aircraft observations. Of particular importance, the vertical distribution of <span class="hlt">lightning</span>, channel length of <span class="hlt">lightning</span>, and LNOx production and transport in the model will be analyzed and compared to LMA observations and anvil-level outflow observations from the aircraft. In addition, to examine entrainment and detrainment of air by the storm and to provide a check on LNOx production and transport, trajectory analyses will be presented and the transport of inert trace gases such as carbon monoxide in the model will be analyzed and compared to aircraft measurements.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5965181','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5965181"><span><span class="hlt">Lightning</span> Burns and Electrical Trauma in a Couple Simultaneously Struck by <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Eyerly-Webb, Stephanie A.; Solomon, Rachele; Lee, Seong K.; Sanchez, Rafael; Carrillo, Eddy H.; Davare, Dafney L.; Kiffin, Chauniqua; Rosenthal, Andrew</p> <p>2017-01-01</p> <p>More people are struck and killed by <span class="hlt">lightning</span> each year in Florida than any other state in the United States. This report discusses a couple that was simultaneously struck by <span class="hlt">lightning</span> while walking arm-in-arm. Both patients presented with characteristic <span class="hlt">lightning</span> burns and were admitted for hemodynamic monitoring, serum labs, and observation and were subsequently discharged home. Despite the superficial appearance of <span class="hlt">lightning</span> burns, serious internal electrical injuries are common. Therefore, <span class="hlt">lightning</span> strike victims should be admitted and evaluated for cardiac arrhythmias, renal injury, and neurological sequelae.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210008HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210008HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Dean Pesnell, SDO project scientist, Goddard Space Flight Center in Greenbelt, Md. speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, Wednesday, April 21, 2010, at the Newseum in Washington. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140007342','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140007342"><span>Diagnosing Meteorological Conditions Associated with Sprites and <span class="hlt">Lightning</span> with Large Charge Moment Changes (CMC) over Oklahoma</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rivera, Lizxandra Flores; Lang, Timothy</p> <p>2014-01-01</p> <p>Sprites are a category of Transient Luminous Events (TLEs) that occur in the upper atmosphere above the tops of Mesoscale Convective Systems (MCSs). They are commonly associated with <span class="hlt">lightning</span> strokes that produce large charge moment changes (CMCs). Synergistic use of satellite and radar-retrieved observations together with sounding data, forecasts, and <span class="hlt">lightning</span>-detection networks allowed the diagnosis and analysis of the meteorological conditions associated with sprites as well as large-CMC <span class="hlt">lightning</span> over Oklahoma. One goal of the <span class="hlt">NASA</span>-funded effort reported herein is the investigation of the potential for sprite interference with aerospace activities in the 20- 100km altitude range, including research balloons, space missions and other aviation transports.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20040121107','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20040121107"><span><span class="hlt">Lightning</span> Instrumentation at KSC</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Colon, Jose L.; Eng, D.</p> <p>2003-01-01</p> <p>This report summarizes <span class="hlt">lightning</span> phenomena with a brief explanation of <span class="hlt">lightning</span> generation and <span class="hlt">lightning</span> activity as related to KSC. An analysis of the instrumentation used at launching Pads 39 A&B for measurements of <span class="hlt">lightning</span> effects is included with alternatives and recommendations to improve the protection system and upgrade the actual instrumentation system. An architecture for a new data collection system to replace the present one is also included. A novel architecture to obtain <span class="hlt">lightning</span> current information from several sensors using only one high speed recording channel while monitoring all sensors to replace the actual manual <span class="hlt">lightning</span> current recorders and a novel device for the protection system are described.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0067.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0067.html"><span>GOES-S <span class="hlt">NASA</span> Social</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2018-02-28</p> <p>Mic Woltman, chief of the Fleet Systems Integration Branch of <span class="hlt">NASA</span>'s Launch Services Program, left, and Gabriel Rodriguez-Mena, a United Launch Alliance systems test engineer, speak to members of social media in the Kennedy Space Center’s Press Site auditorium. The briefing focused on the National Oceanic and Atmospheric Administration's, or NOAA's, Geostationary Operational Environmental Satellite, or GOES-S. The spacecraft is the second satellite in a series of next-generation NOAA weather satellites. It will launch to a geostationary position over the U.S. to provide <span class="hlt">images</span> of storms and help predict weather forecasts, severe weather outlooks, watches, warnings, <span class="hlt">lightning</span> conditions and longer-term forecasting. GOES-S is slated to lift off at 5:02 p.m. EST on March 1, 2018 aboard a United Launch Alliance Atlas V rocket.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0035.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-20180228-PH_KLS01_0035.html"><span>GOES-S <span class="hlt">NASA</span> Social</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2018-02-28</p> <p>Pam Sullivan, <span class="hlt">NASA</span>'s GOES-R flight director, left, and A.J. Sandora, Lockheed Martin's GOES-R Series Mechanical Operations Assembly, Test and Launch Operations (ATLO) manager, speak to members of social media in the Kennedy Space Center’s Press Site auditorium. The briefing focused on the National Oceanic and Atmospheric Administration's, or NOAA's, Geostationary Operational Environmental Satellite, or GOES-S. The spacecraft is the second satellite in a series of next-generation NOAA weather satellites. It will launch to a geostationary position over the U.S. to provide <span class="hlt">images</span> of storms and help predict weather forecasts, severe weather outlooks, watches, warnings, <span class="hlt">lightning</span> conditions and longer-term forecasting. GOES-S is slated to lift off at 5:02 p.m. EST on March 1, 2018 aboard a United Launch Alliance Atlas V rocket.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014PhR...534..147D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014PhR...534..147D"><span>The physics of <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Dwyer, Joseph R.; Uman, Martin A.</p> <p>2014-01-01</p> <p>Despite being one of the most familiar and widely recognized natural phenomena, <span class="hlt">lightning</span> remains relatively poorly understood. Even the most basic questions of how <span class="hlt">lightning</span> is initiated inside thunderclouds and how it then propagates for many tens of kilometers have only begun to be addressed. In the past, progress was hampered by the unpredictable and transient nature of <span class="hlt">lightning</span> and the difficulties in making direct measurements inside thunderstorms, but advances in instrumentation, remote sensing methods, and rocket-triggered <span class="hlt">lightning</span> experiments are now providing new insights into the physics of <span class="hlt">lightning</span>. Furthermore, the recent discoveries of intense bursts of X-rays and gamma-rays associated with thunderstorms and <span class="hlt">lightning</span> illustrate that new and interesting physics is still being discovered in our atmosphere. The study of <span class="hlt">lightning</span> and related phenomena involves the synthesis of many branches of physics, from atmospheric physics to plasma physics to quantum electrodynamics, and provides a plethora of challenging unsolved problems. In this review, we provide an introduction to the physics of <span class="hlt">lightning</span> with the goal of providing interested researchers a useful resource for starting work in this fascinating field. By what physical mechanism or mechanisms is <span class="hlt">lightning</span> initiated in the thundercloud? What is the maximum cloud electric field magnitude and over what volume of the cloud? What, if any, high energy processes (runaway electrons, X-rays, gamma rays) are involved in <span class="hlt">lightning</span> initiation and how? What is the role of various forms of ice and water in <span class="hlt">lightning</span> initiation? What physical mechanisms govern the propagation of the different types of <span class="hlt">lightning</span> leaders (negative stepped, first positive, negative dart, negative dart-stepped, negative dart-chaotic) between cloud and ground and the leaders inside the cloud? What is the physical mechanism of leader attachment to elevated objects on the ground and to the flat ground? What are the characteristics</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE22A..06H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE22A..06H"><span><span class="hlt">Lightning</span> Mapping and Leader Propagation Reconstruction using LOFAR-LIM</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hare, B.; Ebert, U.; Rutjes, C.; Scholten, O.; Trinh, G. T. N.</p> <p>2017-12-01</p> <p>LOFAR (LOw Frequency ARray) is a radio telescope that consists of a large number of dual-polarized antennas spread over the northern Netherlands and beyond. The LOFAR for <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> project (LOFAR-LIM) has successfully used LOFAR to map out <span class="hlt">lightning</span> in the Netherlands. Since LOFAR covers a large frequency range (10-90 MHz), has antennas spread over a large area, and saves the raw trace data from the antennas, LOFAR-LIM can combine all the strongest aspects of both <span class="hlt">lightning</span> mapping arrays and <span class="hlt">lightning</span> interferometers. These aspects include a nanosecond resolution between pulses, nanosecond timing accuracy, and an ability to map <span class="hlt">lightning</span> in all 3 spatial dimensions and time. LOFAR should be able to map out overhead <span class="hlt">lightning</span> with a spatial accuracy on the order of meters. The large amount of complex data provide by LOFAR has presented new data processing challenges, such as handling the time offsets between stations with large baselines and locating as many sources as possible. New algorithms to handle these challenges have been developed and will be discussed. Since the antennas are dual-polarized, all three components of the electric field can be extracted and the structure of the R.F. pulses can be investigated at a large number of distances and angles relative to the <span class="hlt">lightning</span> source, potentially allowing for modeling of <span class="hlt">lightning</span> current distributions relevant to the 10 to 90 MHz frequency range. R.F. pulses due to leader propagation will be presented, which show a complex sub-structure, indicating intricate physics that could potentially be reconstructed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMAE23A..03J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMAE23A..03J"><span>High-Speed Video Observations of a Natural <span class="hlt">Lightning</span> Stepped Leader</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jordan, D. M.; Hill, J. D.; Uman, M. A.; Yoshida, S.; Kawasaki, Z.</p> <p>2010-12-01</p> <p>High-speed video <span class="hlt">images</span> of one branch of a natural negative <span class="hlt">lightning</span> stepped leader were obtained at a frame rate of 300 kfps (3.33 us exposure) on June 18th, 2010 at the International Center for <span class="hlt">Lightning</span> Research and Testing (ICLRT) located on the Camp Blanding Army National Guard Base in north-central Florida. The <span class="hlt">images</span> were acquired using a 20 mm Nikon lens mounted on a Photron SA1.1 high-speed camera. A total of 225 frames (about 0.75 ms) of the downward stepped leader were captured, followed by 45 frames of the leader channel re-illumination by the return stroke and subsequent decay following the ground attachment of the primary leader channel. Luminous characteristics of dart-stepped leader propagation in triggered <span class="hlt">lightning</span> obtained by Biagi et al. [2009, 2010] and of long laboratory spark formation [e.g., Bazelyan and Raizer, 1998; Gallimberti et al., 2002] are evident in the frames of the natural <span class="hlt">lightning</span> stepped leader. Space stems/leaders are <span class="hlt">imaged</span> in twelve different frames at various distances in front of the descending leader tip, which branches into two distinct components 125 frames after the channel enters the field of view. In each case, the space stem/leader appears to connect to the leader tip above in the subsequent frame, forming a new step. Each connection is associated with significant isolated brightening of the channel at the connection point followed by typically three or four frames of upward propagating re-illumination of the existing leader channel. In total, at least 80 individual steps were <span class="hlt">imaged</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790010865','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790010865"><span>High current <span class="hlt">lightning</span> test of space shuttle external tank <span class="hlt">lightning</span> protection system</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mumme, E.; Anderson, A.; Schulte, E. H.</p> <p>1977-01-01</p> <p>During lift-off, the shuttle launch vehicle (external tank, solid rocket booster and orbiter) may be subjected to a <span class="hlt">lightning</span> strike. Tests of a proposed <span class="hlt">lightning</span> protection method for the external tank and development materials which were subjected to simulated <span class="hlt">lightning</span> strikes are described. Results show that certain of the high resistant paint strips performed remarkably well in diverting the 50 kA <span class="hlt">lightning</span> strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018JGRD..123..108B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018JGRD..123..108B"><span>Determination of the Global-Average Charge Moment of a <span class="hlt">Lightning</span> Flash Using Schumann Resonances and the LIS/OTD <span class="hlt">Lightning</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>Boldi, Robert; Williams, Earle; Guha, Anirban</p> <p>2018-01-01</p> <p>In this paper, we use (1) the 20 year record of Schumann resonance (SR) signals measured at West Greenwich Rhode Island, USA, (2) the 19 year <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS)/Optical Transient Detector (OTD) <span class="hlt">lightning</span> data, and (3) the normal mode equations for a uniform cavity model to quantify the relationship between the observed Schumann resonance modal intensity and the global-average vertical charge moment change M (C km) per <span class="hlt">lightning</span> flash. This work, by integrating SR measurements with satellite-based optical measurements of global flash rate, accomplishes this quantification for the first time. To do this, we first fit the intensity spectra of the observed SR signals to an eight-mode, three parameter per mode, (symmetric) Lorentzian line shape model. Next, using the LIS/OTD <span class="hlt">lightning</span> data and the normal mode equations for a uniform cavity model, we computed the expected climatological-daily-average intensity spectra. We then regressed the observed modal intensity values against the expected modal intensity values to find the best fit value of the global-average vertical charge moment change of a <span class="hlt">lightning</span> flash (M) to be 41 C km per flash with a 99% confidence interval of ±3.9 C km per flash, independent of mode. Mode independence argues that the model adequately captured the modal intensity, the most important fit parameter herein considered. We also tested this relationship for the presence of residual modal intensity at zero <span class="hlt">lightning</span> flashes per second and found no evidence that modal intensity is significantly different than zero at zero <span class="hlt">lightning</span> flashes per second, setting an upper limit to the amount of nonlightning contributions to the observed modal intensity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA15657.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA15657.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Texas Wildfire</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2012-05-15</p> <p>The Livermore and Spring Ranch fires near the Davis Mountain Resort, Texas, burned 13,000 and 11,000 acres respectively. When <span class="hlt">NASA</span> Terra spacecraft acquired this <span class="hlt">image</span> on May 12, 2012, both fires had been contained.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790021994','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790021994"><span>The feasibility of inflight measurement of <span class="hlt">lightning</span> strike parameters</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Crouch, K. E.; Plumer, J. A.</p> <p>1978-01-01</p> <p>The appearance of nonmetallic structural materials and microelectronics in aircraft design has resulted in a need for better knowledge of hazardous environments such as <span class="hlt">lightning</span> and the effects these environments have on the aircraft. This feasibility study was performed to determine the <span class="hlt">lightning</span> parameters in the greatest need of clarification and the performance requirements of equipment necessary to sense and record these parameters on an instrumented flight research aircraft. It was found that electric field rate of change, <span class="hlt">lightning</span> currents, and induced voltages in aircraft wiring are the parameters of greatest importance. Flat-plate electric field sensors and resistive current shunts are proposed for electric field and current sensors, to provide direct measurements of these parameters. Six bit analog-to-digital signal conversion at a 5 nanosecond sampling rate, short-term storage of 85000 bits and long term storage of 5 x 10 to the 7th power bits of electric field, current and induced voltage data on the airplane are proposed, with readout and further analysis to be accomplished on the ground. A <span class="hlt">NASA</span> F-106B was found to be suitable for use as the research aircraft because it has a minimum number of possible <span class="hlt">lightning</span> attachment points, space for the necessary instrumentation, and appears to meet operational requirements. Safety considerations are also presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AtmRe.169..523P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AtmRe.169..523P"><span>Numerical modeling of an intense precipitation event and its associated <span class="hlt">lightning</span> activity over northern Greece</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Pytharoulis, I.; Kotsopoulos, S.; Tegoulias, I.; Kartsios, S.; Bampzelis, D.; Karacostas, T.</p> <p>2016-03-01</p> <p>This study investigates an intense precipitation event and its <span class="hlt">lightning</span> activity that affected northern Greece and primarily Thessaloniki on 15 July 2014. The precipitation measurement of 98.5 mm in 15 h at the Aristotle University of Thessaloniki set a new absolute record maximum. The thermodynamic analysis indicated that the event took place in an environment that could support deep thunderstorm activity. The development of this intense event was associated with significant low-level convergence and upper-level divergence even before its triggering and a positive vertical gradient of relative vorticity advection. The high resolution (1.667 km × 1.667 km) non-hydrostatic WRF-ARW numerical weather prediction model was used to simulate this intense precipitation event, while the <span class="hlt">Lightning</span> Potential Index was utilized to calculate the potential for <span class="hlt">lightning</span> activity. Sensitivity experiments suggested that although the strong synoptic forcing assumed primary role in the occurrence of intense precipitation and <span class="hlt">lightning</span> activity, their spatiotemporal variability was affected by topography. The application of the very fine resolution topography of <span class="hlt">NASA</span> Shuttle Radar Topographic Mission improved the simulated precipitation and the calculated <span class="hlt">lightning</span> potential.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210002HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210002HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Alan Title, second from left, principal investigator, Atmospheric <span class="hlt">Imaging</span> Assembly instrument, Lockheed Martin Solar and Astrophysics Laboratory in Palo Alto, speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, Wednesday, April 21, 2010, at the Newseum in Washington. Launched on Feb. 11, 2010, SDO is the most advanced spacecraft ever designed to study the sun. During its five-year mission, it will examine the sun's magnetic field and also provide a better understanding of the role the sun plays in Earth's atmospheric chemistry and climate. Pictured from left to right: Dean Pesnell, SDO project scientist, Goddard Space Flight Center in Greenbelt, Md., Alan Title, Philip H. Scherrer, principal investigator, Helioseismic and Magnetic <span class="hlt">Imager</span> instrument, Stanford University in Palo Alto, Tom Woods, principal investigator, Extreme Ultraviolet Variability Experiment instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder and Madhulika Guhathakurta, SDO program scientist, <span class="hlt">NASA</span> Headquarters in Washington. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</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/2010cosp...38.1363T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010cosp...38.1363T"><span>Plans of <span class="hlt">lightning</span> and airglow measurements with LAC/Akatsuki</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Takahashi, Yukihiro; Hoshino, Naoya; Sato, Mitsuteru; Yair, Yoav; Galand, Marina; Fukuhara, Tetsuya</p> <p></p> <p>Though there are extensive researches on the existence of <span class="hlt">lightning</span> discharge in Venus over few decades, this issue is still under controversial. Recently it is reported that the magnetometer on board Venus Express detected whistler mode waves whose source could be <span class="hlt">lightning</span> discharge occurring well below the spacecraft. However, it is too early to determine the origin of these waves. On the other hand, night airglow is expected to provide essential information on the atmospheric circulation in the upper atmosphere of Venus. But the number of consecutive <span class="hlt">images</span> of airglow obtained by spacecraft is limited and even the variations of most enhanced location is still unknown. In order to identify the discharge phenomena in the atmosphere of Venus separating from noises and to know the daily variation of airglow distribution in night-side disk, we plan to observe the <span class="hlt">lightning</span> and airglow optical emissions with high-speed and high-sensitivity optical detector with narrow-band filters on board Akatsuki. We are ready to launch the flight model of <span class="hlt">lightning</span> and airglow detector, LAC (<span class="hlt">Lightning</span> and Airglow Camera). Main difference from other previous equipments which have provided evidences of <span class="hlt">lightning</span> existence in Venus is the high-speed sampling rate at 32 us interval for each pixel, enabling us to distinguish the optical <span class="hlt">lightning</span> flash from other pulsing noises. In this presentation the observation strategies, including ground-based support with optical telescopes, are shown and discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AtmRe.197..255L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AtmRe.197..255L"><span>Spatio-temporal dimension of <span class="hlt">lightning</span> flashes based on three-dimensional <span class="hlt">Lightning</span> Mapping Array</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>López, Jesús A.; Pineda, Nicolau; Montanyà, Joan; Velde, Oscar van der; Fabró, Ferran; Romero, David</p> <p>2017-11-01</p> <p>3D mapping system like the LMA - <span class="hlt">Lightning</span> Mapping Array - are a leap forward in <span class="hlt">lightning</span> observation. LMA measurements has lead to an improvement on the analysis of the fine structure of <span class="hlt">lightning</span>, allowing to characterize the duration and maximum extension of the cloud fraction of a <span class="hlt">lightning</span> flash. During several years of operation, the first LMA deployed in Europe has been providing a large amount of data which now allows a statistical approach to compute the full duration and horizontal extension of the in-cloud phase of a <span class="hlt">lightning</span> flash. The "Ebro <span class="hlt">Lightning</span> Mapping Array" (ELMA) is used in the present study. Summer and winter lighting were analyzed for seasonal periods (Dec-Feb and Jun-Aug). A simple method based on an ellipse fitting technique (EFT) has been used to characterize the spatio-temporal dimensions from a set of about 29,000 <span class="hlt">lightning</span> flashes including both summer and winter events. Results show an average <span class="hlt">lightning</span> flash duration of 440 ms (450 ms in winter) and a horizontal maximum length of 15.0 km (18.4 km in winter). The uncertainties for summer <span class="hlt">lightning</span> lengths were about ± 1.2 km and ± 0.7 km for the mean and median values respectively. In case of winter <span class="hlt">lightning</span>, the level of uncertainty reaches up to 1 km and 0.7 km of mean and median value. The results of the successful correlation of CG discharges with the EFT method, represent 6.9% and 35.5% of the total LMA flashes detected in summer and winter respectively. Additionally, the median value of <span class="hlt">lightning</span> lengths calculated through this correlative method was approximately 17 km for both seasons. On the other hand, the highest median ratios of <span class="hlt">lightning</span> length to CG discharges in both summer and winter were reported for positive CG discharges.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130009953','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130009953"><span><span class="hlt">Image</span> Analysis via Fuzzy-Reasoning Approach: Prototype Applications 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>Dominguez, Jesus A.; Klinko, Steven J.</p> <p>2004-01-01</p> <p>A set of <span class="hlt">imaging</span> techniques based on Fuzzy Reasoning (FR) approach was built for <span class="hlt">NASA</span> at Kennedy Space Center (KSC) to perform complex real-time visual-related safety prototype tasks, such as detection and tracking of moving Foreign Objects Debris (FOD) during the <span class="hlt">NASA</span> Space Shuttle liftoff and visual anomaly detection on slidewires used in the emergency egress system for Space Shuttle at the launch pad. The system has also proved its prospective in enhancing X-ray <span class="hlt">images</span> used to screen hard-covered items leading to a better visualization. The system capability was used as well during the <span class="hlt">imaging</span> analysis of the Space Shuttle Columbia accident. These FR-based <span class="hlt">imaging</span> techniques include novel proprietary adaptive <span class="hlt">image</span> segmentation, <span class="hlt">image</span> edge extraction, and <span class="hlt">image</span> enhancement. Probabilistic Neural Network (PNN) scheme available from NeuroShell(TM) Classifier and optimized via Genetic Algorithm (GA) was also used along with this set of novel <span class="hlt">imaging</span> techniques to add powerful learning and <span class="hlt">image</span> classification capabilities. Prototype applications built using these techniques have received <span class="hlt">NASA</span> Space Awards, including a Board Action Award, and are currently being filed for patents by <span class="hlt">NASA</span>; they are being offered for commercialization through the Research Triangle Institute (RTI), an internationally recognized corporation in scientific research and technology development. Companies from different fields, including security, medical, text digitalization, and aerospace, are currently in the process of licensing these technologies from <span class="hlt">NASA</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110015774','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110015774"><span>TRMM-Based <span class="hlt">Lightning</span> Climatology</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cecil, Daniel J.; Buechler, Dennis E.; Blakeslee, Richard J.</p> <p>2011-01-01</p> <p>Gridded climatologies of total <span class="hlt">lightning</span> flash rates seen by the spaceborne Optical Transient Detector (OTD) and <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) have been updated. OTD collected data from May 1995 to March 2000. LIS data (equatorward of about 38 deg) has been added for 1998-2010. Flash counts from each instrument are scaled by the best available estimates of detection efficiency. The long LIS record makes the merged climatology most robust in the tropics and subtropics, while the high latitude data is entirely from OTD. The mean global flash rate from the merged climatology is 46 flashes per second. The peak annual flash rate at 0.5 deg scale is 160 fl/square km/yr in eastern Congo. The peak monthly average flash rate at 2.5 scale is 18 fl/square km/mo, from early April to early May in the Brahmaputra Valley of far eastern India. <span class="hlt">Lightning</span> decreases in this region during the monsoon season, but increases further north and west. A monthly average peak from early August to early September in northern Pakistan also exceeds any monthly averages from Africa, despite central Africa having the greatest yearly average. Most continental regions away from the equator have an annual cycle with <span class="hlt">lightning</span> flash rates peaking in late spring or summer. The main exceptions are India and southeast Asia, with springtime peaks in April and May. For landmasses near the equator, flash rates peak near the equinoxes. For many oceanic regions, the peak flash rates occur in autumn. This is particularly noticeable for the Mediterranean and North Atlantic. Landmasses have a strong diurnal cycle of <span class="hlt">lightning</span>, with flash rates generally peaking between 3-5 pm local solar time. The central United States flash rates peak later, in late evening or early night. Flash rates peak after midnight in northern Argentina. These regions are known for large, intense, long-lived mesoscale convective systems.</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>Global Positioning System (GPS) Precipitable Water in Forecasting <span class="hlt">Lightning</span> 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 precipitable 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 <span class="hlt">lightning</span>. 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 <span class="hlt">lightning</span> will occur can result in significant cost and time savings. All <span class="hlt">lightning</span> prediction models were developed using binary logistic regression. <span class="hlt">Lightning</span> is the dependent variable and is binary. The independent variables are the Precipitable 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('http://hdl.handle.net/2060/20100033571','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100033571"><span>Situational <span class="hlt">Lightning</span> Climatologies</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Bauman, William; Crawford, Winifred</p> <p>2010-01-01</p> <p>Research has revealed distinct spatial and temporal distributions of <span class="hlt">lightning</span> occurrence that are strongly influenced by large-scale atmospheric flow regimes. It was believed there were two flow systems, but it has been discovered that actually there are seven distinct flow regimes. The Applied Meteorology Unit (AMU) has recalculated the <span class="hlt">lightning</span> climatologies for the Shuttle Landing Facility (SLF), and the eight airfields in the National Weather Service in Melbourne (NWS MLB) County Warning Area (CWA) using individual <span class="hlt">lightning</span> strike data to improve the accuracy of the climatologies. The software determines the location of each CG <span class="hlt">lightning</span> strike with 5-, 10-, 20-, and 30-nmi (.9.3-, 18.5-, 37-, 55.6-km) radii from each airfield. Each CG <span class="hlt">lightning</span> strike is binned at 1-, 3-, and 6-hour intervals at each specified radius. The software merges the CG <span class="hlt">lightning</span> strike time intervals and distance with each wind flow regime and creates probability statistics for each time interval, radii, and flow regime, and stratifies them by month and warm season. The AMU also updated the graphical user interface (GUI) with the new data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23799482','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23799482"><span><span class="hlt">Lightning</span> burns.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Russell, Katie W; Cochran, Amalia L; Mehta, Sagar T; Morris, Stephen E; McDevitt, Marion C</p> <p>2014-01-01</p> <p>We present the case of a <span class="hlt">lightning</span>-strike victim. This case illustrates the importance of in-field care, appropriate referral to a burn center, and the tendency of <span class="hlt">lightning</span> burns to progress to full-thickness injury.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980236669','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980236669"><span>The Behavior of Total <span class="hlt">Lightning</span> Activity in Severe Florida Thunderstorms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Williams, Earle; Boldi, Bob; Matlin, Anne; Weber, Mark; Hodanish, Steve; Sharp, Dave; Goodman, Steve; Raghavan, Ravi; Buechler, Dennis</p> <p>1998-01-01</p> <p>The development of a new observational system called LISDAD (<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor Demonstration and Display) has enabled a study of severe weather in central Florida. The total flash rates for storms verified to be severe are found to exceed 60 flashes/min, with some values reaching 500 flashes/min. Similar to earlier results for thunderstorm microbursts, the peak flash rate precedes the severe weather at the ground by 5-20 minutes. A distinguishing feature of severe storms is the presence of <span class="hlt">lightning</span> "jumps"-abrupt increases in flash rate in advance of the maximum rate for the storm. ne systematic total <span class="hlt">lightning</span> precursor to severe weather of all kinds-wind, hail, tornadoes-is interpreted in terms of the updraft that sows the seeds aloft for severe weather at the surface and simultaneously stimulates the ice microphysics that drives the <span class="hlt">lightning</span> activity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19880019874','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19880019874"><span>Investigations into the triggered <span class="hlt">lightning</span> response of the F106B thunderstorm research aircraft</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rudolph, Terence H.; Perala, Rodney A.; Mckenna, Paul M.; Parker, Steven L.</p> <p>1985-01-01</p> <p>An investigation has been conducted into the <span class="hlt">lightning</span> characteristics of the <span class="hlt">NASA</span> F106B thunderstorm research aircraft. The investigation includes analysis of measured data from the aircraft in the time and frequency domains. Linear and nonlinear computer modelling has also been performed. In addition, new computer tools have been developed, including a new enhanced nonlinear air breakdown model, and a subgrid model useful for analyzing fine details of the aircraft's geometry. Comparison of measured and calculated electromagnetic responses of the aircraft to a triggered <span class="hlt">lightning</span> environment are presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20070002528&hterms=tropospheric+ozone&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dtropospheric%2Bozone','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20070002528&hterms=tropospheric+ozone&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dtropospheric%2Bozone"><span>Exploring the Production of NOx by <span class="hlt">Lightning</span> and Its Impact on Tropospheric Ozone</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Gillani, Noor; Koshak, William; Biazar, Arastoo; Doty, Kevin; Mahon, Robert; Newchurch, Michael; Byun, Daewon; Emmons, Louisa</p> <p>2006-01-01</p> <p> transport and chemistry. In our approach for LNOx, (a) we utilize continuous observed <span class="hlt">lightning</span> information from the NLDN ground network and from satellite <span class="hlt">imagers</span> (OTD and LIS) to quantify <span class="hlt">lightning</span> frequency and distribution at the spatial-temporal scales of models such as CMAQ; (b) we develop new methodologies to quantify flash-specific <span class="hlt">lightning</span> energy dissipation as heat (epsilon) using data from the research-grade <span class="hlt">lightning</span> measurement facility at <span class="hlt">NASA</span>-KSC, and to parameterize epsilon based on regional <span class="hlt">lightning</span> monitoring data (ground- and satellite-based); and, (c) we develop a new parameterization of NOx production as a function of epsilon and rho. Based on such observation-based information, we are working to develop a gridded, episodic LNOx emissions inventory for the USA for use in models like CMAQ. We are also developing approaches for global(MOZART)- regional(CMAQ) chemistry coupling to improve intercontinental transport and STE. Finally, we are developing new methodologies for assimilation of satellite-observed (GOES) clouds into meteorological modeling (MM5), to improve PFTE and to optimize co-location of cloud convection and observed <span class="hlt">lightning</span>. We will incorporate these improvements in CMAQ simulations over the USA to better understand FT processes and chemistry, and its impact on ground-level ozone.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1985lse..conf......','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1985lse..conf......"><span>International Aerospace and Ground Conference on <span class="hlt">Lightning</span> and Static Electricity, 10th, and Congres International Aeronautique, 17th, Paris, France, June 10-13, 1985, Proceedings</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p></p> <p>1985-12-01</p> <p>The conference presents papers on statistical data and standards, coupling and indirect effects, meteorology and thunderstorm studies, <span class="hlt">lightning</span> simulators, fuel ignition hazards, the phenomenology and characterization of <span class="hlt">lightning</span>, susceptibility and protection of avionics, ground systems protection, <span class="hlt">lightning</span> locators, aircraft systems protection, structures and materials, electrostatics, and spacecraft protection against static electricity. Particular attention is given to a comparison of published HEMP and natural <span class="hlt">lightning</span> on the surface of an aircraft, electromagnetic interaction of external impulse fields with aircraft, of thunderstorm currents and <span class="hlt">lightning</span> charges at the <span class="hlt">NASA</span> Kennedy Space Center, the design of a fast risetime <span class="hlt">lightning</span> generator, <span class="hlt">lightning</span> simulation tests in FAA CV-580 <span class="hlt">lightning</span> research aircraft, and the energy requirements of an aircraft triggered discharge. Papers are also presented on aircraft <span class="hlt">lightning</span> attachment at low altitudes, a new form of transient suppressor, a proving ground for <span class="hlt">lightning</span> research, and a spacecraft materials test in a continuous, broad energy-spectrum electron beam.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140012856','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140012856"><span>The GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM) and the Global Observing System for Total <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven J.; Blakeslee, R. J.; Koshak, W.; Buechler, D.; Carey, L.; Chronis, T.; Mach, D.; Bateman, M.; Peterson, H.; McCaul, E. W., Jr.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140012856'); toggleEditAbsImage('author_20140012856_show'); toggleEditAbsImage('author_20140012856_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140012856_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140012856_hide"></p> <p>2014-01-01</p> <p>for the existing GOES system currently operating over the Western Hemisphere. New and improved instrument technology will support expanded detection of environmental phenomena, resulting in more timely and accurate forecasts and warnings. Advancements over current GOES include a new capability for total <span class="hlt">lightning</span> detection (cloud and cloud-to-ground flashes) from the Geostationary <span class="hlt">Lightning</span> Mapper (GLM), and improved temporal, spatial, and spectral resolution for the next generation Advanced Baseline <span class="hlt">Imager</span> (ABI). The GLM will map total <span class="hlt">lightning</span> continuously day and night with near-uniform spatial resolution of 8 km with a product latency of less than 20 sec over the Americas and adjacent oceanic regions. This will aid in forecasting severe storms and tornado activity, and convective weather impacts on aviation safety and efficiency among a number of potential applications. The GLM will help address the National Weather Service requirement for total <span class="hlt">lightning</span> observations globally to support warning decision-making and forecast services. Science and application development along with pre-operational product demonstrations and evaluations at NWS national centers, forecast offices, and NOAA testbeds will prepare the forecasters to use GLM as soon as possible after the planned launch and check-out of GOES-R in 2016. New applications will use GLM alone, in combination with the ABI, or integrated (fused) with other available tools (weather radar and ground strike networks, nowcasting systems, mesoscale analysis, and numerical weather prediction models) in the hands of the forecaster responsible for issuing more timely and accurate forecasts and warnings.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002083.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002083.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></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>Scientists presented the first <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory [SDO] during a special "first light" press conference, Wednesday, April 21 2010, at held at the Newseum in Washington DC. Here, scientists are showing an animation from Walt Feimer, lead animator for the Heliophysics team. Credit: <span class="hlt">NASA</span>/GSFC</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA15557.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA15557.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Fiji Flooding</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2012-04-10</p> <p>This <span class="hlt">image</span>, acquired by <span class="hlt">NASA</span> Terra spacecraft, shows Fiji, hard hit by heavy rains in early 2012, causing flooding and landslides. Hardest hit was the western part of the main Island of Viti Levu, Fiji, and the principal city of Nadi.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000152.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000152.html"><span><span class="hlt">NASA</span> Spots an "Eye" of Smoke and Phytoplankton near Cape Barren Island</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>-NOAA's Suomi NPP satellite passed over Australia's Cape Barren Island and captured an <span class="hlt">image</span> of phytoplankton and smoke from fires that resembled an eye and eyebrow. The Tasmanian Fire Service reported that a vegetation fire near Thunder and <span class="hlt">Lightning</span> Bay, Cape Barren Island started on December 4 and was still blazing on December 8. Cape Barren Island is one of a trail of islands in the Bass Strait of the South Pacific Ocean, between southeastern Australia and Tasmania. This natural-color satellite <span class="hlt">image</span> from Dec. 7 was collected by the Visible Infrared <span class="hlt">Imaging</span> Radiometer Suite (VIIRS) instrument that flies aboard <span class="hlt">NASA</span>-NOAA's Suomi NPP satellite. The red dots in the <span class="hlt">image</span> represent heat signatures from the fires as detected by VIIRS. A light grey stream of smoke was blowing to the southeast in what could be seen as the "eyebrow" to the "eye" or swirl of blue and green phytoplankton below it. Phytoplankton are tiny microscopic plant-like organisms that form the base of the marine food chain. Like land plants, phytoplankton contain chlorophyll which is used in photosynthesis to turn sunlight into chemical energy. The chlorophyll gives the phytoplankton their green color, which is visible from space when large numbers of the organism group together. <span class="hlt">NASA</span> <span class="hlt">image</span> courtesy MODIS Rapid Response Team #nasagoddard #earth #smoke #Phytoplankton #science b><span class="hlt">NASA</span> <span class="hlt">image</span> 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://www.weather.gov/safety/lightning','NIH-MEDLINEPLUS'); return false;" href="https://www.weather.gov/safety/lightning"><span><span class="hlt">Lightning</span> Safety Tips and Resources</span></a></p> <p><a target="_blank" href="http://medlineplus.gov/">MedlinePlus</a></p> <p></p> <p></p> <p>... Safety Brochure U.S. <span class="hlt">Lightning</span> Deaths in 2018 : 5 Youtube: <span class="hlt">Lightning</span> Safety for the Deaf and Hard of ... for Hard of Hearing: jpg , high res png YouTube: <span class="hlt">Lightning</span> Safety Tips <span class="hlt">Lightning</span> Safety When Working Outdoors : ...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003022','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003022"><span>Evaluation of Long-Range <span class="hlt">Lightning</span> Detection Networks Using TRMM/LIS Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rudlosky, Scott D.; Holzworth, Robert H.; Carey, Lawrence D.; Schultz, Chris J.; Bateman, Monte; Cecil, Daniel J.; Cummins, Kenneth L.; Petersen, Walter A.; Blakeslee, Richard J.; Goodman, Steven J.</p> <p>2011-01-01</p> <p>Recent advances in long-range <span class="hlt">lightning</span> detection technologies have improved our understanding of thunderstorm evolution in the data sparse oceanic regions. Although the expansion and improvement of long-range <span class="hlt">lightning</span> datasets have increased their applicability, these applications (e.g., data assimilation, atmospheric chemistry, and aviation weather hazards) require knowledge of the network detection capabilities. Toward this end, the present study evaluates data from the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) using observations from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) aboard the Tropical Rainfall Measurement Mission (TRMM) satellite. The study documents the WWLLN detection efficiency and location accuracy relative to LIS observations, describes the spatial variability in these performance metrics, and documents the characteristics of LIS flashes that are detected by WWLLN. Improved knowledge of the WWLLN detection capabilities will allow researchers, algorithm developers, and operational users to better prepare for the spatial and temporal coverage of the upcoming GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19930040920&hterms=quantitative+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dquantitative%2Bresearch','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19930040920&hterms=quantitative+research&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3Dquantitative%2Bresearch"><span>MSFC shuttle <span class="hlt">lightning</span> research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Vaughan, Otha H., Jr.</p> <p>1993-01-01</p> <p>The shuttle mesoscale <span class="hlt">lightning</span> experiment (MLE), flown on earlier shuttle flights, and most recently flown on the following space transportation systems (STS's), STS-31, -32, -35, -37, -38, -40, -41, and -48, has continued to focus on obtaining additional quantitative measurements of <span class="hlt">lightning</span> characteristics and to create a data base for use in demonstrating observation simulations for future spaceborne <span class="hlt">lightning</span> mapping systems. These flights are also providing design criteria data for the design of a proposed shuttle MLE-type <span class="hlt">lightning</span> research instrument called mesoscale <span class="hlt">lightning</span> observational sensors (MELOS), which are currently under development here at MSFC.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3000.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3000.html"><span>Large Crawler Crane for new <span class="hlt">lightning</span> protection system</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-10-25</p> <p>A large crawler crane arrives at the turn basin at the Launch Complex 39 Area on <span class="hlt">NASA</span>'s Kennedy Space Center. The crane with its 70-foot boom will be moved to Launch Pad 39B and used to construct a new <span class="hlt">lightning</span> protection system for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110007267','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110007267"><span>Analysis of TRMM-LIS <span class="hlt">Lightning</span> and Related Microphysics Using a Cell-Scale Database</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Leroy, Anita; Petersen, Walter A.</p> <p>2010-01-01</p> <p>Previous studies of tropical <span class="hlt">lightning</span> activity using Tropical Rainfall Measurement Mission (TRMM) <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data performed analyses of <span class="hlt">lightning</span> behavior over mesoscale "feature" scales or over uniform grids. In order to study <span class="hlt">lightning</span> and the governing ice microphysics intrinsic to thunderstorms at a more process-specific scale (i.e., the scale over which electrification processes and <span class="hlt">lightning</span> occur in a "unit" thunderstorm), a new convective cell-scale database was developed by analyzing and refining the University of Utah's Precipitation Features database and retaining precipitation data parameters computed from the TRMM precipitation radar (PR), microwave <span class="hlt">imager</span> (TMI) and LIS instruments. The resulting data base was to conduct a limited four-year study of tropical continental convection occurring over the Amazon Basin, Congo, Maritime Continent and the western Pacific Ocean. The analysis reveals expected strong correlations between <span class="hlt">lightning</span> flash counts per cell and ice proxies, such as ice water path, minimum and average 85GHz brightness temperatures, and 18dBz echo top heights above the freezing level in all regimes, as well as regime-specific relationships between lighting flash counts and PR-derived surface rainfall rates. Additionally, radar CFADs were used to partition the 3D structure of cells in each regime at different flash counts. The resulting cell-scale analyses are compared to previous mesoscale feature and gridded studies wherever possible.</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://images.nasa.gov/#/details-GSFC_20171208_Archive_e002220.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002220.html"><span>First <span class="hlt">Images</span> from <span class="hlt">NASA</span>'s New Moon Mission</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2009-07-02</p> <p>These <span class="hlt">images</span> show cratered regions near the moon's Mare Nubium region, as photographed by the Lunar Reconnaissance Orbiter's LROC instrument. Each <span class="hlt">image</span> shows a region 1,400 meters (0.87 miles) wide. the bottoms of both <span class="hlt">images</span> face lunar north. The <span class="hlt">image</span> below shows the location of these two <span class="hlt">images</span> in relation to each other. Credit: <span class="hlt">NASA</span>/Goddard Space Flight Center/Arizona State University</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910023305','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910023305"><span>Thunderstorm monitoring and <span class="hlt">lightning</span> warning, operational applications of the Safir system</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Richard, Philippe</p> <p>1991-01-01</p> <p>During the past years a new range of studies have been opened by the application of electromagnetic localization techniques to the field of thunderstorm remote sensing. VHF localization techniques were used in particular for the analysis of <span class="hlt">lightning</span> discharges and gave access to time resolved 3-D <span class="hlt">images</span> of <span class="hlt">lightning</span> discharges within thunderclouds. Detection and localization techniques developed have been applied to the design of the SAFIR system. This development's main objective was the design of an operational system capable of assessing and warning in real time for <span class="hlt">lightning</span> hazards and potential thunderstorm hazards. The SAFIR system main detection technique is the long range interferometric localization of thunderstorm electromagnetic activity; the system performs the localization of intracloud and cloud to ground <span class="hlt">lightning</span> discharges and the analysis of the characteristics of the activity.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19850000462&hterms=stroke&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dstroke','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19850000462&hterms=stroke&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dstroke"><span>Plotting <span class="hlt">Lightning</span>-Stroke Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Tatom, F. B.; Garst, R. A.</p> <p>1986-01-01</p> <p>Data on <span class="hlt">lightning</span>-stroke locations become easier to correlate with cloudcover maps with aid of new graphical treatment. Geographic region divided by grid into array of cells. Number of <span class="hlt">lightning</span> strokes in each cell tabulated, and value representing density of <span class="hlt">lightning</span> strokes assigned to each cell. With contour-plotting routine, computer draws contours of <span class="hlt">lightning</span>-stroke density for region. Shapes of contours compared directly with shapes of storm cells.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050123567&hterms=microwaves+water+structure&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dmicrowaves%2Bwater%2Bstructure','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050123567&hterms=microwaves+water+structure&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dmicrowaves%2Bwater%2Bstructure"><span>An Orbital "Virtual Radar" from TRMM Passive Microwave and <span class="hlt">Lightning</span> Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Boccippio, Dennis J.</p> <p>2004-01-01</p> <p>The retrieval of vertical structure from joint passive microwave and <span class="hlt">lightning</span> observations is demonstrated. Three years of data from the TRMM (Tropical Rainfall Measuring Mission) are used as a training dataset for regression and classification neural networks; the TMI (TRMM Microwave <span class="hlt">Imager</span>) and LIS (<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor) provide the inputs, the PR (Precipitation Radar) provides the training targets. Both vertical reflectivity profile categorization (into 9 convective, 7 stratiform, 2 mixed and 6 anvil types) and geophysical parameters (surface rainfall, vertically integrated liquid (VIL), ice water content (IWC) and echo tops) are retrieved. Retrievals are successful over both land and ocean surfaces. The benefit of using <span class="hlt">lightning</span> observations as inputs to these retrievals is quantitatively demonstrated; <span class="hlt">lightning</span> essentially provides an additional convective/stratiform discriminator, and is most important for isolation of midlevel (tops in the mixed phase region) convective profile types (this is because high frequency passive microwave observations already provide good convective/stratiform discrimination for deep convective profiles). This is highly relevant as midlevel convective profiles account for an extremely large fraction of tropical rainfall, and yet are most difficult to discriminate from comparable-depth stratiform profile types using passive microwave observations alone.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA14771.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA14771.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Texas Wildfire</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-09-13</p> <p>The tri-county Riley Road wildfire burning in Texas north of Houston was 85 percent contained when <span class="hlt">NASA</span> Terra spacecraft acquired this <span class="hlt">image</span> on Sept. 12, 2011. Burned areas are dark gray and black; vegetation red; and bare ground and roads light gray.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090017495&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DG%2526T','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090017495&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3DG%2526T"><span>The North Alabama <span class="hlt">Lightning</span> Warning Product</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Buechler, Dennis E.; Blakeslee, R. J.; Stano, G. T.</p> <p>2009-01-01</p> <p>The North Alabama <span class="hlt">Lightning</span> Mapping Array NALMA has been collecting total <span class="hlt">lightning</span> data on storms in the Tennessee Valley region since 2001. Forecasters from nearby National Weather Service (NWS) offices have been ingesting this data for display with other AWIPS products. The current <span class="hlt">lightning</span> product used by the offices is the <span class="hlt">lightning</span> source density plot. The new product provides a probabalistic, short-term, graphical forecast of the probability of <span class="hlt">lightning</span> activity occurring at 5 min intervals over the next 30 minutes . One of the uses of the current <span class="hlt">lightning</span> source density product by the Huntsville National Weather Service Office is to identify areas of potential for cloud-to-ground flashes based on where LMA total <span class="hlt">lightning</span> is occurring. This product quantifies that observation. The <span class="hlt">Lightning</span> Warning Product is derived from total <span class="hlt">lightning</span> observations from the Washington, D.C. (DCLMA) and North Alabama <span class="hlt">Lightning</span> Mapping Arrays and cloud-to-ground <span class="hlt">lightning</span> flashes detected by the National <span class="hlt">Lightning</span> Detection Network (NLDN). Probability predictions are provided for both intracloud and cloud-to-ground flashes. The gridded product can be displayed on AWIPS workstations in a manner similar to that of the <span class="hlt">lightning</span> source density product.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018GeoRL..45.3698W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018GeoRL..45.3698W"><span><span class="hlt">Lightning</span> Mapping With an Array of Fast Antennas</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wu, Ting; Wang, Daohong; Takagi, Nobuyuki</p> <p>2018-04-01</p> <p>Fast Antenna <span class="hlt">Lightning</span> Mapping Array (FALMA), a low-frequency <span class="hlt">lightning</span> mapping system comprising an array of fast antennas, was developed and established in Gifu, Japan, during the summer of 2017. Location results of two hybrid flashes and a cloud-to-ground flash comprising 11 return strokes (RSs) are described in detail in this paper. Results show that concurrent branches of stepped leaders can be readily resolved, and K changes and dart leaders with speeds up to 2.4 × 107 m/s are also well <span class="hlt">imaged</span>. These results demonstrate that FALMA can reconstruct three-dimensional structures of <span class="hlt">lightning</span> flashes with great details. Location accuracy of FALMA is estimated by comparing the located striking points of successive RSs in cloud-to-ground flashes. Results show that distances between successive RSs are mainly below 25 m, indicating exceptionally high location accuracy of FALMA.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008AGUFMAE31A0273A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008AGUFMAE31A0273A"><span>Infrasound Observations from <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arechiga, R. O.; Johnson, J. B.; Edens, H. E.; Thomas, R. J.; Jones, K. R.</p> <p>2008-12-01</p> <p>To provide additional insight into the nature of <span class="hlt">lightning</span>, we have investigated its infrasound manifestations. An array of three stations in a triangular configuration, with three sensors each, was deployed during the Summer of 2008 (July 24 to July 28) in the Magdalena mountains of New Mexico, to monitor infrasound (below 20 Hz) sources due to <span class="hlt">lightning</span>. Hyperbolic formulations of time of arrival (TOA) measurements and interferometric techniques were used to locate <span class="hlt">lightning</span> sources occurring over and outside the network. A comparative analysis of simultaneous <span class="hlt">Lightning</span> Mapping Array (LMA) data and infrasound measurements operating in the same area was made. The LMA locates the sources of impulsive RF radiation produced by <span class="hlt">lightning</span> flashes in three spatial dimensions and time, operating in the 60 - 66 MHz television band. The comparison showed strong evidence that <span class="hlt">lightning</span> does produce infrasound. This work is a continuation of the study of the frequency spectrum of thunder conducted by Holmes et al., who reported measurements of infrasound frequencies. The integration of infrasound measurements with RF source localization by the LMA shows great potential for improved understanding of <span class="hlt">lightning</span> processes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210007HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210007HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Tom Woods, (second from right), principal investigator, Extreme Ultraviolet Variability Experiment instrument, Laboratory for Atmospheric and Space Physics, University of Colorado in Boulder speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, Wednesday, April 21, 2010, at the Newseum in Washington. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980017072','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980017072"><span>LDAR, A Three-Dimensional <span class="hlt">Lightning</span> Warning System: Its Development and Use by the Government, and Transition to Public Availability</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Starr, Stan; Sharp, David; Merceret, Francis; Madura, John; Murphy, Martin</p> <p>1998-01-01</p> <p><span class="hlt">NASA</span>, at the John F. Kennedy Space Center (KSC), developed and operates a unique high precision <span class="hlt">lightning</span> location system to provide <span class="hlt">lightning</span> related weather warnings. These warnings are used to stop <span class="hlt">lightning</span>-sensitive operations such as space vehicle launches and ground operations where equipment and personnel are at risk. The data is provided to the Range Weather Operations [45th Weather Squadron, U. S. Air Force (USAF)] where it is used with other meteorological data to issue weather advisories and warnings for Cape Canaveral Air Station (CCAS) and KSC operations. This system, called <span class="hlt">Lightning</span> Detection and Ranging (LDAR), provides users with a graphical display in three dimensions of 66 MHz radio frequency events generated by <span class="hlt">lightning</span> processes. The locations of these events provide a sound basis for the prediction of <span class="hlt">lightning</span> hazards. <span class="hlt">NASA</span> and Global Atmospherics, Inc. are developing a new system that will replace the unique LDAR components with commercially available and maintainable components having improved capabilities. These components will be phased in to ensure full continuity and access to this important warning technology. These LDAR systems are expected to eventually be available for installation and use by the public at specialized facilities, such as airports, and for general weather warnings via the National Weather Service (NWS) or television broadcast. The NWS in Melbourne has had access to real-time LDAR data since 1993 on an experimental basis. This use of LDAR has shown promise for the improvement of aviation forecasts and severe weather warnings. More so, it has opened the door to investigate the feasibility of issuing <span class="hlt">lightning</span>-related public advisories. The success of its early use suggests that this technology may improve safety and potentially save lives, therefore constituting a significant benefit to the public. This paper describes the LDR system, the plans and progress of these upgrades, and the potential benefits of its use.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA15884.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA15884.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Oregon Wildfire</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2012-09-21</p> <p>This <span class="hlt">image</span>, acquired by <span class="hlt">NASA</span> Terra spacecraft, is of the Pole Creek fire southwest of Sisters, Ore., which had grown to 24,000 acres as of Sept. 20, 2012. No structures have been destroyed, and the fire is mostly confined to the national forest.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130012951','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130012951"><span>Small Negative Cloud-to-Ground <span class="hlt">Lightning</span> Reports at the KSC-ER</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Wilson, Jennifer G.; Cummins, Kenneth L.; Krider, E. Philip</p> <p>2009-01-01</p> <p>'1he <span class="hlt">NASA</span> Kennedy Space Center (KSC) and Air Force Eastern Range (ER) use data from two cloud-to-ground (CG) <span class="hlt">lightning</span> detection networks, the CGLSS and the NLDN, and a volumetric <span class="hlt">lightning</span> mapping array, LDAR, to monitor and characterize <span class="hlt">lightning</span> that is potentially hazardous to ground or launch operations. Data obtained from these systems during June-August 2006 have been examined to check the classification of small, negative CGLSS reports that have an estimated peak current, [I(sup p)] less than 7 kA, and to determine the smallest values of I(sup p), that are produced by first strokes, by subsequent strokes that create a new ground contact (NGC), and by subsequent strokes that remain in a pre-existing channel (PEC). The results show that within 20 km of the KSC-ER, 21% of the low-amplitude negative CGLSS reports were produced by first strokes, with a minimum I(sup p) of-2.9 kA; 31% were by NGCs, with a minimum I(sup p) of-2.0 kA; and 14% were by PECs, with a minimum I(sup p) of -2.2 kA. The remaining 34% were produced by cloud pulses or <span class="hlt">lightning</span> events that we were not able to classify.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ464567','ERIC'); return false;" href="https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ464567"><span>A <span class="hlt">Lightning</span> Safety Primer for Camps.</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>Attarian, Aram</p> <p>1992-01-01</p> <p>Provides the following information about <span class="hlt">lightning</span>, which is necessary for camp administrators and staff: (1) warning signs of <span class="hlt">lightning</span>; (2) dangers of <span class="hlt">lightning</span>; (3) types of <span class="hlt">lightning</span> injuries; (4) prevention of <span class="hlt">lightning</span> injury; and (5) helpful training tips. (KS)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA13815.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA13815.html"><span><span class="hlt">NASA</span> Spacecraft Captures <span class="hlt">Image</span> of Brazil Flooding</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-01-19</p> <p>On Jan. 18, 2011, <span class="hlt">NASA</span> Terra spacecraft captured this 3-D perspective <span class="hlt">image</span> of the city of Nova Friburgo, Brazil. A week of torrential rains triggered a series of deadly mudslides and floods. More details about this <span class="hlt">image</span> at the Photojournal.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19930005198','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19930005198"><span>Evidence for <span class="hlt">lightning</span> on Venus</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Strangeway, R. J.</p> <p>1992-01-01</p> <p><span class="hlt">Lightning</span> is an interesting phenomenon both for atmospheric and ionospheric science. At the Earth <span class="hlt">lightning</span> is generated in regions where there is strong convection. <span class="hlt">Lightning</span> also requires the generation of large charge-separation electric fields. The energy dissipated in a <span class="hlt">lightning</span> discharge can, for example, result in chemical reactions that would not normally occur. From an ionospheric point of view, <span class="hlt">lightning</span> generates a broad spectrum of electromagnetic radiation. This radiation can propagate through the ionosphere as whistler mode waves, and at the Earth the waves propagate to high altitudes in the plasmasphere where they can cause energetic particle precipitation. The atmosphere and ionosphere of Venus are quite different from those on the Earth, and the presence of <span class="hlt">lightning</span> at Venus has important consequences for our knowledge of why <span class="hlt">lightning</span> occurs and how the energy is dissipated in the atmosphere and ionosphere. As discussed here, it now appears that <span class="hlt">lightning</span> occurs in the dusk local time sector at Venus.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090017986&hterms=fashion+trend&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dfashion%2Btrend','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090017986&hterms=fashion+trend&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Dfashion%2Btrend"><span>Climate and <span class="hlt">Lightning</span>: An updated TRMM-LIS Analysis</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.; Buechler, D. E.</p> <p>2009-01-01</p> <p>The TRMM <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) has sampled global tropical and sub-tropical <span class="hlt">lightning</span> flash densities for approximately 11 years. These data were originally processed and results presented by the authors in the 3rd AMS MALD Conference held in 2007 using both pre and post TRMM-boost <span class="hlt">lightning</span> data. These data were normalized for the orbit boost by scaling the pre-boost data by a fixed constant based on the different swath areas for the pre and post-boost years (post-boost after 2001). Inevitably, one must question this simple approach to accounting for the orbit boost when sampling such a noisy quantity. Hence we are in the process of reprocessing the entire 11-year TRMM LIS dataset to reduce the orbit swath of the post-boost era to that of the pre-boost in order to eliminate sampling bias in the dataset. Study of the diurnal/seasonal/annual sampling suggests that those biases are already minimal and should not contribute to error in examination of annual trends. We will present new analysis of the 11-year annual trends in total <span class="hlt">lightning</span> flash density for all latitudinal belts and select regions/regimes of the tropics as related to conventional climate signals and precipitation contents in the same period. The results should enable us to address, in some fashion, the sensitivity of the <span class="hlt">lightning</span> flash density to subtle changes in climate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-07PD-3001.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-07PD-3001.html"><span>Large Crawler Crane for new <span class="hlt">lightning</span> protection system</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2007-10-25</p> <p>A large crawler crane begins moving away from the turn basin at the Launch Complex 39 Area on <span class="hlt">NASA</span>'s Kennedy Space Center. The crane with its 70-foot boom will be moved to Launch Pad 39B and used to construct a new <span class="hlt">lightning</span> protection system for the Constellation Program and Ares/Orion launches. Pad B will be the site of the first Ares vehicle launch, including Ares I-X which is scheduled for April 2009.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120001412','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120001412"><span><span class="hlt">Lightning</span> NOx Production and Its Consequences for Tropospheric Chemistry</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pickering, Kenneth E.</p> <p>2005-01-01</p> <p>Cloud-resolving case-study simulations of convective transport and <span class="hlt">lightning</span> NO production have yielded results which are directly applicable to the design of <span class="hlt">lightning</span> parameterizations for global chemical transport models. In this work we have used cloud-resolving models (the Goddard Cumulus Ensemble Model (GCE) and MMS) to drive an off-line cloud-scale chemical transport model (CSCTM). The CSCTM, in conjunction with aircraft measurements of NO x in thunderstorms and ground-l;>ased <span class="hlt">lightning</span> observations, has been used to constrain the amount of NO produced per flash. Cloud and chemistry simulations for several case studies of storms in different environments will be presented. Observed <span class="hlt">lightning</span> flash rates have been incorporated into the CSCTM, and several scenarios of NO production per intracloud (IC) and per cloud-to-ground (CG) flash have been tested for each storm. The resulting NOx mixing ratios are compared with aircraft measurements taken within the storm (typically the anvil region) to determine the most likely NO production scenario. The range of values of NO production per flash (or per meter of <span class="hlt">lightning</span> channel length) that have been deduced from the model will be shown and compared with values of production in the literature that have been deduced from observed NO spikes and from anvil flux calculations. Results show that on a per flash basis, IC flashes are nearly as productive of NO as CG flashes. This result simplifies the <span class="hlt">lightning</span> parameterization for global models (ie., an algorithm for estimating the IC/CG ratio is not necessary). Vertical profiles of <span class="hlt">lightning</span> NOx mass at the end of the 3-D storm simulations have been summarized to yield suggested profiles for use in global models. Estimates of mean NO production per flash vary by a factor of three from one simulated storm to another. When combined with the global flash rate of 44 flashes per second from <span class="hlt">NASA</span>'s Optical Transient Detector (OTD) measurements, these estimates and the results</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=Electric+AND+discharge&id=EJ081790','ERIC'); return false;" href="https://eric.ed.gov/?q=Electric+AND+discharge&id=EJ081790"><span>Thunderclouds and <span class="hlt">Lightning</span> Conductors</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>Martin, P. F.</p> <p>1973-01-01</p> <p>Discusses the historical background of the development of <span class="hlt">lightning</span> conductors, describes the nature of thunderclouds and the <span class="hlt">lightning</span> flash, and provides a calculation of the electric field under a thundercloud. Also discussed are point discharge currents and the attraction theory of the <span class="hlt">lightning</span> conductor. (JR)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22215021','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22215021"><span><span class="hlt">Lightning</span> safety of animals.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Gomes, Chandima</p> <p>2012-11-01</p> <p>This paper addresses a concurrent multidisciplinary problem: animal safety against <span class="hlt">lightning</span> hazards. In regions where <span class="hlt">lightning</span> is prevalent, either seasonally or throughout the year, a considerable number of wild, captive and tame animals are injured due to <span class="hlt">lightning</span> generated effects. The paper discusses all possible injury mechanisms, focusing mainly on animals with commercial value. A large number of cases from several countries have been analyzed. Economically and practically viable engineering solutions are proposed to address the issues related to the <span class="hlt">lightning</span> threats discussed.</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('https://images.nasa.gov/#/details-PIA16059.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA16059.html"><span><span class="hlt">NASA</span> UAVSAR <span class="hlt">Images</span> Colorado Slumgullion Landslide</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2012-08-15</p> <p>This false-color, oblique perspective <span class="hlt">image</span> of the Slumgullion landslide in southwestern Colorado depicting its surface motion was created by data acquired by <span class="hlt">NASA</span> UAVSAR between two airplane flights in August 2011.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/21909737','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/21909737"><span>[<span class="hlt">Lightning</span> strikes and <span class="hlt">lightning</span> injuries in prehospital emergency medicine. Relevance, results, and practical implications].</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Hinkelbein, J; Spelten, O; Wetsch, W A</p> <p>2013-01-01</p> <p>Up to 32.2% of patients in a burn center suffer from electrical injuries. Of these patients, 2-4% present with <span class="hlt">lightning</span> injuries. In Germany, approximately 50 people per year are injured by a <span class="hlt">lightning</span> strike and 3-7 fatally. Typically, people involved in outdoor activities are endangered and affected. A <span class="hlt">lightning</span> strike usually produces significantly higher energy doses as compared to those in common electrical injuries. Therefore, injury patterns vary significantly. Especially in high voltage injuries and <span class="hlt">lightning</span> injuries, internal injuries are of special importance. Mortality ranges between 10 and 30% after a <span class="hlt">lightning</span> strike. Emergency medical treatment is similar to common electrical injuries. Patients with <span class="hlt">lightning</span> injuries should be transported to a regional or supraregional trauma center. In 15% of all cases multiple people may be injured. Therefore, it is of outstanding importance to create emergency plans and evacuation plans in good time for mass gatherings endangered by possible <span class="hlt">lightning</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140008582','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140008582"><span><span class="hlt">Lightning</span> Jump Algorithm Development for the GOES·R Geostationary <span class="hlt">Lightning</span> Mapper</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz. E.; Schultz. C.; Chronis, T.; Stough, S.; Carey, L.; Calhoun, K.; Ortega, K.; Stano, G.; Cecil, D.; Bateman, M.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20140008582'); toggleEditAbsImage('author_20140008582_show'); toggleEditAbsImage('author_20140008582_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20140008582_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20140008582_hide"></p> <p>2014-01-01</p> <p>Current work on the <span class="hlt">lightning</span> jump algorithm to be used in GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM)'s data stream is multifaceted due to the intricate interplay between the storm tracking, GLM proxy data, and the performance of the <span class="hlt">lightning</span> jump itself. This work outlines the progress of the last year, where analysis and performance of the <span class="hlt">lightning</span> jump algorithm with automated storm tracking and GLM proxy data were assessed using over 700 storms from North Alabama. The cases analyzed coincide with previous semi-objective work performed using total <span class="hlt">lightning</span> mapping array (LMA) measurements in Schultz et al. (2011). Analysis shows that key components of the algorithm (flash rate and sigma thresholds) have the greatest influence on the performance of the algorithm when validating using severe storm reports. Automated objective analysis using the GLM proxy data has shown probability of detection (POD) values around 60% with false alarm rates (FAR) around 73% using similar methodology to Schultz et al. (2011). However, when applying verification methods similar to those employed by the National Weather Service, POD values increase slightly (69%) and FAR values decrease (63%). The relationship between storm tracking and <span class="hlt">lightning</span> jump has also been tested in a real-time framework at NSSL. This system includes fully automated tracking by radar alone, real-time LMA and radar observations and the <span class="hlt">lightning</span> jump. Results indicate that the POD is strong at 65%. However, the FAR is significantly higher than in Schultz et al. (2011) (50-80% depending on various tracking/<span class="hlt">lightning</span> jump parameters) when using storm reports for verification. Given known issues with Storm Data, the performance of the real-time jump algorithm is also being tested with high density radar and surface observations from the NSSL Severe Hazards Analysis & Verification Experiment (SHAVE).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140011701','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140011701"><span>Variation of a <span class="hlt">Lightning</span> NOx Indicator for National Climate Assessment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, William; Vant-Hull, B.; McCaul, E. W.; Peterson, H. S.</p> <p>2014-01-01</p> <p><span class="hlt">Lightning</span> nitrogen oxides (LNOx) indirectly influences our climate since these molecules are important in controlling the concentration of ozone (O3) and hydroxyl radicals (OH) in the atmosphere [Huntrieser et al., 1998]. In support of the National Climate Assessment (NCA) program, satellite <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS; Christian et al. [1999]; Cecil et al. [2014]) data is used to estimate LNOx production over the southern portion of the conterminous US for the 16 year period 1998-2013.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-201004210003HQ.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-201004210003HQ.html"><span><span class="hlt">NASA</span>'s Solar Dynamics Observatory Unveils New <span class="hlt">Images</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-04-20</p> <p>Madhulika Guhathakurta, SDO Program Scientist at <span class="hlt">NASA</span> Headquarters in Washington, speaks during a briefing to discuss recent <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Solar Dynamics Observatory, or SDO, Wednesday, April 21, 2010, at the Newseum in Washington. Launched on Feb. 11, 2010, SDO is the most advanced spacecraft ever designed to study the sun. During its five-year mission, it will examine the sun's magnetic field and also provide a better understanding of the role the sun plays in Earth's atmospheric chemistry and climate. Photo Credit: (<span class="hlt">NASA</span>/Carla Cioffi)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20030001122&hterms=space+mapping&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dspace%2Bmapping','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20030001122&hterms=space+mapping&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dspace%2Bmapping"><span>The <span class="hlt">NASA</span> Thunderstorm Observations and Research (ThOR) Mission: <span class="hlt">Lightning</span> Mapping from Space to Improve the Short-term Forecasting of Severe Storms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, S. J.; Christian, H. J.; Boccippio, D. J.; Koshak, W. J.; Cecil, D. J.; Arnold, James E. (Technical Monitor)</p> <p>2002-01-01</p> <p>The ThOR mission uses a <span class="hlt">lightning</span> mapping sensor in geostationary Earth orbit to provide continuous observations of thunderstorm activity over the Americas and nearby oceans. The link between <span class="hlt">lightning</span> activity and cloud updrafts is the basis for total <span class="hlt">lightning</span> observations indicating the evolving convective intensification and decay of storms. ThOR offers a national operational demonstration of the utility of real-time total <span class="hlt">lightning</span> mapping for earlier and more reliable identification of potentially severe and hazardous storms. Regional pilot projects have already demonstrated that the dominance in-cloud <span class="hlt">lightning</span> and increasing in-cloud lash rates are known to precede severe weather at the surface by tens of minutes. ThOR is currently planned for launch in 2005 on a commercial or research satellite. Real-time data will be provided to selected NWS Weather Forecast Offices and National Centers (EMC/AWC/SPC) for evaluation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19840064052&hterms=thunder+lightning&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dthunder%2Blightning','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19840064052&hterms=thunder+lightning&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dthunder%2Blightning"><span>Average diurnal variation of summer <span class="hlt">lightning</span> over the Florida peninsula</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Maier, L. M.; Krider, E. P.; Maier, M. W.</p> <p>1984-01-01</p> <p>Data derived from a large network of electric field mills are used to determine the average diurnal variation of <span class="hlt">lightning</span> in a Florida seacoast environment. The variation at the <span class="hlt">NASA</span> Kennedy Space Center and the Cape Canaveral Air Force Station area is compared with standard weather observations of thunder, and the variation of all discharges in this area is compared with the statistics of cloud-to-ground flashes over most of the South Florida peninsula and offshore waters. The results show average diurnal variations that are consistent with statistics of thunder start times and the times of maximum thunder frequency, but that the actual <span class="hlt">lightning</span> tends to stop one to two hours before the recorded thunder. The variation is also consistent with previous determinations of the times of maximum rainfall and maximum rainfall rate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19900004089','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19900004089"><span>Cable coupling <span class="hlt">lightning</span> transient qualification</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Cook, M.</p> <p>1989-01-01</p> <p>Simulated <span class="hlt">lightning</span> strike testing of instrumentation cabling on the redesigned solid rocket motor was performed. Testing consisted of subjecting the <span class="hlt">lightning</span> evaluation test article to simulated <span class="hlt">lightning</span> strikes and evaluating the effects of instrumentation cable transients on cables within the system tunnel. The maximum short-circuit current induced onto a United Space Boosters, Inc., operational flight cable within the systems tunnel was 92 A, and the maximum induced open-circuit voltage was 316 V. These levels were extrapolated to the worst-case (200 kA) condition of <span class="hlt">NASA</span> specification NSTS 07636 and were also scaled to full-scale redesigned solid rocket motor dimensions. Testing showed that voltage coupling to cables within the systems tunnel can be reduced 40 to 90 dB and that current coupling to cables within the systems tunnel can be reduced 30 to 70 dB with the use of braided metallic sock shields around cables that are external to the systems tunnel. Testing also showed that current and voltage levels induced onto cables within the systems tunnel are partially dependant on the cables' relative locations within the systems tunnel. Results of current injections to the systems tunnel indicate that the dominant coupling mode on cables within the systems tunnel is not from instrumentation cables but from coupling through the systems tunnel cover seam apertures. It is recommended that methods of improving the electrical bonding between individual sections of the systems tunnel covers be evaluated. Further testing to better characterize redesigned solid rocket motor cable coupling effects as an aid in developing methods to reduce coupling levels, particularly with respect to cable placement within the systems tunnel, is also recommended.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120001475','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120001475"><span><span class="hlt">Lightning</span> Initiation Forecasting: An Operational Dual-Polarimetric Radar Technique</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Woodard, Crystal J.; Carey, L. D.; Petersen, W. A.; Roeder, W. P.</p> <p>2011-01-01</p> <p>The objective of this <span class="hlt">NASA</span> MSFC and NOAA CSTAR funded study is to develop and test operational forecast algorithms for the prediction of <span class="hlt">lightning</span> initiation utilizing the C-band dual-polarimetric radar, UAHuntsville's Advanced Radar for Meteorological and Operational Research (ARMOR). Although there is a rich research history of radar signatures associated with <span class="hlt">lightning</span> initiation, few studies have utilized dual-polarimetric radar signatures (e.g., Z(sub dr) columns) and capabilities (e.g., fuzzy-logic particle identification [PID] of precipitation ice) in an operational algorithm for first flash forecasting. The specific goal of this study is to develop and test polarimetric techniques that enhance the performance of current operational radar reflectivity based first flash algorithms. Improving <span class="hlt">lightning</span> watch and warning performance will positively impact personnel safety in both work and leisure environments. Advanced warnings can provide space shuttle launch managers time to respond appropriately to secure equipment and personnel, while they can also provide appropriate warnings for spectators and players of leisure sporting events to seek safe shelter. Through the analysis of eight case dates, consisting of 35 pulse-type thunderstorms and 20 non-thunderstorm case studies, <span class="hlt">lightning</span> initiation forecast techniques were developed and tested. The hypothesis is that the additional dual-polarimetric information could potentially reduce false alarms while maintaining high probability of detection and increasing lead-time for the prediction of the first <span class="hlt">lightning</span> flash relative to reflectivity-only based techniques. To test the hypothesis, various physically-based techniques using polarimetric variables and/or PID categories, which are strongly correlated to initial storm electrification (e.g., large precipitation ice production via drop freezing), were benchmarked against the operational reflectivity-only based approaches to find the best compromise between</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2006IJTFM.126...61K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2006IJTFM.126...61K"><span><span class="hlt">Lightning</span> Phenomenology</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kawasaki, Zen</p> <p></p> <p>This paper presents a phenomenological idea about <span class="hlt">lightning</span> flash to share the back ground understanding for this special issue. <span class="hlt">Lightning</span> discharges are one of the terrible phenomena, and Benjamin Franklin has led this natural phenomenon to the stage of scientific investigation. Technical aspects like monitoring and location are also summarized in this article.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMAE31A0422S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMAE31A0422S"><span>Multi-mode Observations of Cloud-to-Ground <span class="hlt">Lightning</span> Strokes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Smith, M. W.; Smith, B. J.; Clemenson, M. D.; Zollweg, J. D.</p> <p>2015-12-01</p> <p>We present hyper-temporal and hyper-spectral data collected using a suite of three Phantom high-speed cameras configured to observe cloud-to-ground <span class="hlt">lightning</span> strokes. The first camera functioned as a contextual <span class="hlt">imager</span> to show the location and structure of the strokes. The other two cameras were operated as slit-less spectrometers, with resolutions of 0.2 to 1.0 nm. The <span class="hlt">imaging</span> camera was operated at a readout rate of 48,000 frames per second and provided an <span class="hlt">image</span>-based trigger mechanism for the spectrometers. Each spectrometer operated at a readout rate of 400,000 frames per second. The sensors were deployed on the southern edge of Albuquerque, New Mexico and collected data over a 4 week period during the thunderstorm season in the summer of 2015. Strikes observed by the sensor suite were correlated to specific strikes recorded by the National <span class="hlt">Lightning</span> Data Network (NLDN) and thereby geo-located. Sensor calibration factors, distance to each strike, and calculated values of atmospheric transmission were used to estimate absolute radiometric intensities for the spectral-temporal data. The data that we present show the intensity and time evolution of broadband and line emission features for both leader and return strokes. We highlight several key features and overall statistics of the observations. A companion poster describes a <span class="hlt">lightning</span> model that is being developed at Sandia National Laboratories.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/21570915-number-lightning-discharges-causing-damage-lightning-arrester-cables-aerial-transmission-lines-power-systems','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/21570915-number-lightning-discharges-causing-damage-lightning-arrester-cables-aerial-transmission-lines-power-systems"><span>Number of <span class="hlt">lightning</span> discharges causing damage to <span class="hlt">lightning</span> arrester cables for aerial transmission lines in power systems</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>Nikiforov, E. P.</p> <p>2009-07-15</p> <p>Damage by <span class="hlt">lightning</span> discharges to <span class="hlt">lightning</span> arrester cables for 110-175 kV aerial transmission lines is analyzed using data from power systems on incidents with aerial transmission lines over a ten year operating period (1997-2006). It is found that failures of <span class="hlt">lightning</span> arrester cables occur when a tensile force acts on a cable heated to the melting point by a <span class="hlt">lightning</span> current. The <span class="hlt">lightning</span> currents required to heat a cable to this extent are greater for larger cable cross sections. The probability that a <span class="hlt">lightning</span> discharge will develop decreases as the amplitude of the <span class="hlt">lightning</span> current increases, which greatly reduces themore » number of <span class="hlt">lightning</span> discharges which damage TK-70 cables compared to TK-50 cables. In order to increase the reliability of <span class="hlt">lightning</span> arrester cables for 110 kV aerial transmission lines, TK-70 cables should be used in place of TK-50 cables. The number of <span class="hlt">lightning</span> discharges per year which damage <span class="hlt">lightning</span> arrester cables is lowered when the density of aerial transmission lines is reduced within the territory of electrical power systems. An approximate relationship between these two parameters is obtained.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002054.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e002054.html"><span><span class="hlt">NASA</span>'s Solar Eclipse Composite <span class="hlt">Image</span> July 11, 2010</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>Eclipse 2010 Composite A solar eclipse photo (gray and white) from the Williams College Expedition to Easter Island in the South Pacific (July 11, 2010) was embedded with an <span class="hlt">image</span> of the Sun’s outer corona taken by the Large Angle Spectrometric Coronagraph (LASCO) on the SOHO spacecraft and shown in red false color. LASCO uses a disk to blot out the bright sun and the inner corona so that the faint outer corona can be monitored and studied. Further, the dark silhouette of the moon was covered with an <span class="hlt">image</span> of the Sun taken in extreme ultraviolet light at about the same time by the Atmospheric <span class="hlt">Imaging</span> Assembly on Solar Dynamics Observatory (SDO). The composite brings out the correlation of structures in the inner and outer corona. Credits: Williams College Eclipse Expedition -- Jay M. Pasachoff, Muzhou Lu, and Craig Malamut; SOHO’s LASCO <span class="hlt">image</span> courtesy of <span class="hlt">NASA</span>/ESA; solar disk <span class="hlt">image</span> from NASA’s SDO; compositing by Steele Hill, <span class="hlt">NASA</span> Goddard Space Flight Center. <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.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA15008.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA15008.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Images</span> Continued Thailand Flooding</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-10-28</p> <p>On Oct. 25, 2011, the Chao Phraya River was in flood stage as <span class="hlt">NASA</span> Terra spacecraft <span class="hlt">imaged</span> flooded agricultural fields and villages depicted here in dark blue, and the sediment-laden water in shades of tan.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27665937','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27665937"><span>Measuring Method for <span class="hlt">Lightning</span> Channel Temperature.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Li, X; Zhang, J; Chen, L; Xue, Q; Zhu, R</p> <p>2016-09-26</p> <p>In this paper, we demonstrate the temperature of <span class="hlt">lightning</span> channel utilizing the theory of <span class="hlt">lightning</span> spectra and the model of local thermodynamic equilibrium (LTE). The impulse current generator platform (ICGS) was used to simulate the <span class="hlt">lightning</span> discharge channel, and the spectral energy of infrared spectroscopy (930 nm) and the visible spectroscopy (648.2 nm) of the simulated <span class="hlt">lightning</span> has been calculated. Results indicate that the peaks of luminous intensity of both infrared and visible spectra increase with the <span class="hlt">lightning</span> current intensity in range of 5-50 kA. Based on the results, the temperature of the <span class="hlt">lightning</span> channel is derived to be 6140.8-10424 K. Moreover, the temperature of the channel is approximately exponential to the <span class="hlt">lightning</span> current intensity, which shows good agreement with that of the natural <span class="hlt">lightning</span> cases.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016NatSR...633906L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016NatSR...633906L"><span>Measuring Method for <span class="hlt">Lightning</span> Channel Temperature</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Li, X.; Zhang, J.; Chen, L.; Xue, Q.; Zhu, R.</p> <p>2016-09-01</p> <p>In this paper, we demonstrate the temperature of <span class="hlt">lightning</span> channel utilizing the theory of <span class="hlt">lightning</span> spectra and the model of local thermodynamic equilibrium (LTE). The impulse current generator platform (ICGS) was used to simulate the <span class="hlt">lightning</span> discharge channel, and the spectral energy of infrared spectroscopy (930 nm) and the visible spectroscopy (648.2 nm) of the simulated <span class="hlt">lightning</span> has been calculated. Results indicate that the peaks of luminous intensity of both infrared and visible spectra increase with the <span class="hlt">lightning</span> current intensity in range of 5-50 kA. Based on the results, the temperature of the <span class="hlt">lightning</span> channel is derived to be 6140.8-10424 K. Moreover, the temperature of the channel is approximately exponential to the <span class="hlt">lightning</span> current intensity, which shows good agreement with that of the natural <span class="hlt">lightning</span> cases.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001520.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001520.html"><span><span class="hlt">NASA</span> Spacecraft <span class="hlt">Image</span> Shows Location of Iranian Earthquake</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>On April 9, 2013 at 11:52 GMT, a magnitude 6.3 earthquake hit southwestern Iran's Bushehr province near the town of Kaki. Preliminary information is that several villages have been destroyed and many people have died, as reported by BBC News. This perspective view of the region was acquired Nov. 17, 2012, by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on <span class="hlt">NASA</span>'s Terra spacecraft. The location of the earthquake's epicenter is marked with a yellow star. Vegetation is displayed in red; the vertical exaggeration of the topography is 2X. The <span class="hlt">image</span> is centered near 28.5 degrees north latitude, 51.6 degrees east longitude. With its 14 spectral bands from the visible to the thermal infrared wavelength region and its high spatial resolution of 15 to 90 meters (about 50 to 300 feet), ASTER <span class="hlt">images</span> Earth to map and monitor the changing surface of our planet. ASTER is one of five Earth-observing instruments launched Dec. 18, 1999, on Terra. The instrument was built by Japan's Ministry of Economy, Trade and Industry. A joint U.S./Japan science team is responsible for validation and calibration of the instrument and data products. The broad spectral coverage and high spectral resolution of ASTER provides scientists in numerous disciplines with critical information for surface mapping and monitoring of dynamic conditions and temporal change. Example applications are: monitoring glacial advances and retreats; monitoring potentially active volcanoes; identifying crop stress; determining cloud morphology and physical properties; wetlands evaluation; thermal pollution monitoring; coral reef degradation; surface temperature mapping of soils and geology; and measuring surface heat balance. The U.S. science team is located at <span class="hlt">NASA</span>'s Jet Propulsion Laboratory, Pasadena, Calif. The Terra mission is part of <span class="hlt">NASA</span>'s Science Mission Directorate, Washington, D.C. More information about ASTER is available at asterweb.jpl.<span class="hlt">nasa</span>.gov/. <span class="hlt">Image</span> Credit: <span class="hlt">NASA</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRD..121.7975C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRD..121.7975C"><span>The kinematic and microphysical control of <span class="hlt">lightning</span> rate, extent, and NOX production</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Carey, Lawrence D.; Koshak, William; Peterson, Harold; Mecikalski, Retha M.</p> <p>2016-07-01</p> <p>This study investigates the kinematic and microphysical control of <span class="hlt">lightning</span> properties, particularly those that may govern the production of nitrogen oxides (NOX = NO + NO2) via <span class="hlt">lightning</span> (LNOX), such as flash rate, type, and extent. The <span class="hlt">NASA</span> <span class="hlt">Lightning</span> Nitrogen Oxides Model (LNOM) is applied to <span class="hlt">lightning</span> observations following multicell thunderstorms through their lifecycle in a Lagrangian sense over Northern Alabama on 21 May 2012 during the Deep Convective Clouds and Chemistry (DC3) experiment. LNOM provides estimates of flash rate, type, channel length distributions, channel segment altitude distributions (SADs), and LNOX production profiles. The LNOM-derived <span class="hlt">lightning</span> characteristics and LNOX production are compared to the evolution of radar-inferred updraft and precipitation properties. Intercloud, intracloud (IC) flash SAD comprises a significant fraction of the total (IC + cloud-to-ground [CG]) SAD, while increased CG flash SAD at altitudes >6 km occurs after the simultaneous peaks in several thunderstorm properties (i.e., total [IC + CG] and IC flash rate, graupel volume/mass, convective updraft volume, and maximum updraft speed). At heights <6 km, the CG LNOX production dominates the column-integrated total LNOX production. Unlike the SAD, total LNOX production consists of a more equal contribution from IC and CG flashes for heights >6 km. Graupel volume/mass, updraft volume, and maximum updraft speed are all well correlated to the total flash rate (correlation coefficient, ρ ≥ 0.8) but are less correlated to total flash extent (ρ ≥ 0.6) and total LNOX production (ρ ≥ 0.5). Although LNOM transforms <span class="hlt">lightning</span> observations into LNOX production values, these values are estimates and are subject to further independent validation.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19870002649','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19870002649"><span>Atmospheric electrical modeling in support of the <span class="hlt">NASA</span> F106 Storm Hazards Project</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Helsdon, J. H.</p> <p>1986-01-01</p> <p>With the use of composite (non-metallic) and microelectronics becoming more prevalent in the construction of both military and commercial aircraft, the control systems have become more susceptible to damage or failure from electromagnetic transients. One source of such transients is the <span class="hlt">lightning</span> discharge. In order to study the effects of the <span class="hlt">lightning</span> discharge on the vital components of an aircraft, <span class="hlt">NASA</span> Langley Research Center has undertaken a Storm Hazards Program in which a specially instrumented F106B jet aircraft is flown into active thunderstorms with the intention of being struck by <span class="hlt">lightning</span>. One of the specific purposes of the program is to quantify the environmental conditions which are conductive to aircraft <span class="hlt">lightning</span> strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910023353','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910023353"><span>Global <span class="hlt">lightning</span> studies</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Goodman, Steven J.; Wright, Pat; Christian, Hugh; Blakeslee, Richard; Buechler, Dennis; Scharfen, Greg</p> <p>1991-01-01</p> <p>The global <span class="hlt">lightning</span> signatures were analyzed from the DMSP Optical Linescan System (OLS) imagery archived at the National Snow and Ice Data Center. Transition to analysis of the digital archive becomes available and compare annual, interannual, and seasonal variations with other global data sets. An initial survey of the quality of the existing film archive was completed and <span class="hlt">lightning</span> signatures were digitized for the summer months of 1986 to 1987. The relationship is studied between: (1) global and regional <span class="hlt">lightning</span> activity and rainfall, and (2) storm electrical development and environment. Remote sensing data sets obtained from field programs are used in conjunction with satellite/radar/<span class="hlt">lightning</span> data to develop and improve precipitation estimation algorithms, and to provide a better understanding of the co-evolving electrical, microphysical, and dynamical structure of storms.</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://hdl.handle.net/2060/20130010171','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130010171"><span>The Use of the Deep Convective Cloud Technique (DCCT) to Monitor On-Orbit Performance of the Geostationary <span class="hlt">Lightning</span> Mapper (GLM): Use of <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) Data as Proxy</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Buechler, Dennis E.; Christian, H. J.; Koshak, William J.; Goodman, Steve J.</p> <p>2013-01-01</p> <p>The Geostationary <span class="hlt">Lightning</span> Mapper (GLM) on the next generation Geostationary Operational Environmental Satellite-R (GOES-R) will not have onboard calibration capability to monitor its performance. The <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite has been providing observations of total <span class="hlt">lightning</span> over the Earth's Tropics since 1997. The GLM design is based on LIS heritage, making it a good proxy dataset. This study examines the performance of LIS throughout its time in orbit. This was accomplished through application of the Deep Convective Cloud Technique (DCCT) (Doelling et al., 2004) to LIS background pixel radiance data. The DCCT identifies deep convective clouds by their cold Infrared (IR) brightness temperatures and using them as invariant targets in the solar reflective portion of the solar spectrum. The GLM and LIS operate in the near-IR at a wavelength of 777.4 nm. In the present study the IR data is obtained from the Visible Infrared Sensor (VIRS) which is collocated with LIS onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. The DCCT is applied to LIS observations for July and August of each year from 1998-2010. The resulting distributions of LIS background DCC pixel radiance for each July August are very similar, indicating stable performance. The mean radiance of the DCCT analysis does not show a long term trend and the maximum deviation of the July August mean radiance for each year is within 0.7% of the overall mean. These results demonstrate that there has been no discernible change in LIS performance throughout its lifetime. A similar approach will used for monitoring the performance of GLM, with cold clouds identified using IR data from the Advanced Baseline <span class="hlt">Imager</span> (ABI) which will also be located on GOES-R. Since GLM is based on LIS design heritage, the LIS results indicate that GLM should also experience stable performance over its lifetime.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003AGUFMAE22A1110M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003AGUFMAE22A1110M"><span>Effects of a Longer Detection Window in VHF Time-of-Arrival <span class="hlt">Lightning</span> Detection Systems</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Murphy, M.; Holle, R.; Demetriades, N.</p> <p>2003-12-01</p> <p><span class="hlt">Lightning</span> detection systems that operate by measuring the times of arrival (TOA) of short bursts of radiation at VHF can produce huge volumes of data. The first automated system of this kind, the <span class="hlt">NASA</span> Kennedy Space Center LDAR network, is capable of producing one detection every 100 usec from each of seven sensors (Lennon and Maier, 1991), where each detection consists of the time and amplitude of the highest-amplitude peak observed within the 100 usec window. More modern systems have been shown to produce very detailed information with one detection every 10 usec (Rison et al., 2001). Operating such systems in real time, however, can become expensive because of the large data communications rates required. One solution to this problem is to use a longer detection window, say 500 usec. In principle, this has little or no effect on the flash detection efficiency because each flash typically produces a very large number of these VHF bursts (known as sources). By simply taking the largest-amplitude peak from every 500-usec interval instead of every 100-usec interval, we should detect the largest 20{%} of the sources that would have been detected using the 100-usec window. However, questions remain about the exact effect of a longer detection window on the source detection efficiency with distance from the network, its effects on how well flashes are represented in space, and how well the reduced information represents the parent thunderstorm. The latter issue is relevant for automated location and tracking of thunderstorm cells using data from VHF TOA <span class="hlt">lightning</span> detection networks, as well as for understanding relationships between <span class="hlt">lightning</span> and severe weather. References Lennon, C.L. and L.M. Maier, <span class="hlt">Lightning</span> mapping system. Proceedings, Intl. Aerospace and Ground Conf. on <span class="hlt">Lightning</span> and Static Elec., Cocoa Beach, Fla., <span class="hlt">NASA</span> Conf. Pub. 3106, vol. II, pp. 89-1 - 89-10, 1991. Rison, W., P. Krehbiel, R. Thomas, T. Hamlin, J. Harlin, High time resolution <span class="hlt">lightning</span> mapping</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013JGRD..11811468M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013JGRD..11811468M"><span>Interannual variability in tropical tropospheric ozone and OH: The role of <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Murray, Lee T.; Logan, Jennifer A.; Jacob, Daniel J.</p> <p>2013-10-01</p> <p>Nitrogen oxide radicals (NOx) produced by <span class="hlt">lightning</span> are natural precursors for the production of the dominant tropospheric oxidants, OH and ozone. Observations of the interannual variability (IAV) of tropical ozone and of global mean OH (from the methyl chloroform proxy) offer a window for understanding the sensitivity of ozone and OH to environmental factors. We present the results of simulations for 1998-2006 using the GEOS-Chem chemical transport model (CTM) with IAV in tropical <span class="hlt">lightning</span> constrained by satellite observations from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor. We find that this imposed IAV in <span class="hlt">lightning</span> NOx improves the ability of the model to reproduce observed IAV in tropical ozone and OH. <span class="hlt">Lightning</span> is far more important than biomass burning in driving the IAV of tropical ozone, even though the IAV of NOx emissions from fires is greater than that from <span class="hlt">lightning</span>. Our results indicate that the IAV in tropospheric OH is highly sensitive to <span class="hlt">lightning</span> relative to other emissions and suggest that <span class="hlt">lightning</span> contributes an important fraction of the observed IAV in OH inferred from the methyl chloroform proxy. <span class="hlt">Lightning</span> affects OH through the HO2+ NO reaction, an effect compounded by positive feedback from the resulting increase in ozone production and in CO loss. We can account in the model for the observed increase in OH in 1998-2004 and for its IAV, but the model fails to explain the OH decrease in 2004-2006. We find that stratospheric ozone plays little role in driving IAV in OH during 1998-2006, in contrast to previous studies that examined earlier periods.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ130237','ERIC'); return false;" href="https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ130237"><span>The <span class="hlt">Lightning</span> Discharge</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>Orville, Richard E.</p> <p>1976-01-01</p> <p>Correspondence of Benjamin Franklin provides authenticity to a historical account of early work in the field of <span class="hlt">lightning</span>. Present-day theories concerning the formation and propagation of <span class="hlt">lightning</span> are expressed and photographic evidence provided. (CP)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA19297.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA19297.html"><span>Guatemala Volcanic Eruption Captured in <span class="hlt">NASA</span> Spacecraft <span class="hlt">Image</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2015-02-19</p> <p>Guatemala's Fuego volcano continued its frequent moderate eruptions in early February 2015. Pyroclastic flows from the eruptions descended multiple drainages, and the eruptions sent ash plumes spewing over Guatemala City 22 miles (35 kilometers) away, and forced closure of the international airport. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument onboard <span class="hlt">NASA</span>'s Terra spacecraft captured a new <span class="hlt">image</span> of the region on February 17. Fuego is on the left side of the <span class="hlt">image</span>. The thermal infrared inset <span class="hlt">image</span> shows the summit crater activity (white equals hot), and remnant heat in the flows on the flank. Other active volcanoes shown in the <span class="hlt">image</span> are Acatenango close by to the north, Volcano de Agua in the middle of the <span class="hlt">image</span>, and Pacaya volcano to the east. The <span class="hlt">image</span> covers an area of 19 by 31 miles (30 by 49.5 kilometers), and is located at 14.5 degrees north, 90.9 degrees west. http://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA19297</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001209.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001209.html"><span><span class="hlt">NASA</span>'s SDO Shows <span class="hlt">Images</span> of Significant Solar Flare</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>Caption: An X-class solar flare erupted on the left side of the sun on the evening of Feb. 24, 2014. This composite <span class="hlt">image</span>, captured at 7:59 p.m. EST, shows the sun in X-ray light with wavelengths of both 131 and 171 angstroms. Credit: <span class="hlt">NASA</span>/SDO More info: The sun emitted a significant solar flare, peaking at 7:49 p.m. EST on Feb. 24, 2014. <span class="hlt">NASA</span>'s Solar Dynamics Observatory, which keeps a constant watch on the sun, captured <span class="hlt">images</span> of the event. Solar flares are powerful bursts of radiation, appearing as giant flashes of light in the SDO <span class="hlt">images</span>. Harmful radiation from a flare cannot pass through Earth's atmosphere to physically affect humans on the ground, however -- when intense enough -- they can disturb the atmosphere in the layer where GPS and communications signals travel. This flare is classified as an X4.9-class flare. X-class denotes the most intense flares, while the number provides more information about its strength. An X2 is twice as intense as an X1, an X3 is three times as intense, etc. <span class="hlt">NASA</span> <span class="hlt">image</span> 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/2060/20130001847','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130001847"><span>An Overview of the <span class="hlt">Lightning</span> - Atmospheric Chemistry Aspects of the Deep Convective Clouds and Chemistry (DC3) Experiment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Pickering, K. E.; Barth, M. C.; Koshak, W.; Bucsela, E. J.; Allen, D. J.; Weinheimer, A.; Ryerson, T.; Huntrieser, H.; Bruning, E.; MacGorman, D.; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20130001847'); toggleEditAbsImage('author_20130001847_show'); toggleEditAbsImage('author_20130001847_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20130001847_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20130001847_hide"></p> <p>2012-01-01</p> <p>Some of the major goals of the DC3 experiment are to determine the contribution of <span class="hlt">lightning</span> to NO(x) in the anvils of observed thunderstorms, examine the relationship of <span class="hlt">lightning</span> NO(x) production to flash rates and to <span class="hlt">lightning</span> channel lengths, and estimate the relative production per flash for cloud-to-ground flashes and intracloud flashes. In addition, the effects of <span class="hlt">lightning</span> NO(x) production on photochemistry downwind of thunderstorms is also being examined. The talk will survey the observation types that were conducted during DC3 relevant to these goals and provide an overview of the analysis and modeling techniques which are being used to achieve them. NO(x) was observed on three research aircraft during DC3 (the NCAR G-V, the <span class="hlt">NASA</span> DC-8, and the DLR Falcon) in flights through storm anvils in three study regions (NE Colorado, Central Oklahoma to West Texas, and northern Alabama) where <span class="hlt">lightning</span> mapping arrays (LMAs) and radar coverage were available. Initial comparisons of the aircraft NOx observations in storm anvils relative to flash rates have been conducted, which will be followed with calculations of the flux of NO(x) through the anvils, which when combined with observed flash rates can be used to estimate storm-average <span class="hlt">lightning</span> NOx production per flash. The WRF-Chem model will be run for cloud-resolved simulations of selected observed storms during DC3. Detailed <span class="hlt">lightning</span> information from the LMAs (flash rates and flash lengths as a function of time and vertical distributions of flash channel segments) will be input to the model along with assumptions concerning NO(x) production per CG flash and per IC flash. These assumptions will be tested through comparisons with the aircraft NOx data from anvil traverses. A specially designed retrieval method for <span class="hlt">lightning</span> NO2 column amounts from the OMI instrument on <span class="hlt">NASA</span> fs Aura satellite has been utilized to estimate NO2 over the region affected by selected DC3 storms. Combined with NO(x) to NO2 ratios from the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19860065522&hterms=Measuring+strategic&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DMeasuring%2Bstrategic','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19860065522&hterms=Measuring+strategic&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D70%26Ntt%3DMeasuring%2Bstrategic"><span>A wide bandwidth electrostatic field sensor for <span class="hlt">lightning</span> research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zaepfel, K. P.</p> <p>1986-01-01</p> <p>Data obtained from UHF Radar observation of direct-<span class="hlt">lightning</span> strikes to the <span class="hlt">NASA</span> F-106B airplane have indicated that most of the 690 strikes acquired during direct-strike <span class="hlt">lightning</span> tests were triggered by the aircraft. As an aid in understanding the triggered <span class="hlt">lightning</span> process, a wide bandwidth electric field measuring system was designed for the F-106B by implementing a clamped-detection signal processing concept originated at the Air Force Cambridge Research Lab in 1953. The detection scheme combines the signals from complementary stator pairs clamped to zero volts at the exact moment when each stator pair is maximally shielded by the rotor, a process that restores the dc level lost by the charge amplifier. The new system was implemented with four shutter-type field mills located at strategic points on the airplane. The bandwidth of the new system was determined in the laboratory to be from dc to over 100 Hz, whereas past designs had upper limits of 10 Hz to 100 Hz. To obtain the undisturbed electric field vector and total aircraft charge, the airborne field mill system is calibrated by using techniques involving results from ground and flight calibrations of the F-106B, laboratory tests of a metallized model, and a finite-difference time-domain electromagnetic computer code.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19890010412','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19890010412"><span>A wide bandwidth electrostatic field sensor for <span class="hlt">lightning</span> research</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Zaepfel, Klaus P.</p> <p>1989-01-01</p> <p>Data obtained from UHF radar observation of direct-<span class="hlt">lightning</span> strikes to the <span class="hlt">NASA</span> F-106B aircraft have indicated that most of the 690 strikes acquired during direct-strike <span class="hlt">lightning</span> tests were triggered by the aircraft. As an aid in understanding the triggered <span class="hlt">lightning</span> process, a wide bandwidth electric field measuring system was designed for the F-106B by implementing a clamped-detection signal processing concept originated at the Air Force Cambridge Research Lab in 1953. The detection scheme combines the signals from complementary stator pairs clamped to zero bolts at the exact moment when each stator pair is maximally shielded by the rotor, a process that restores the dc level lost by the charge amplifier. The system was implemented with four shutter-type field mills located at strategic points on the aircraft. The bandwidth of the system was determined in the laboratory to be from dc to over 100 Hz, whereas past designs had upper limits of 10 to 100 Hz. To obtain the undisturbed electric field vector and total aircraft charge, the airborne field mill system is calibrated by using techniques involving results from ground and flight calibrations of the F-106B, laboratory tests of a metallized model, and a finite difference time-domain electromagnetic computer code.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2607583','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=2607583"><span>Air traffic controller <span class="hlt">lightning</span> strike.</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Spieth, M. E.; Kimura, R. L.; Schryer, T. D.</p> <p>1994-01-01</p> <p>Andersen Air Force Base in Guam boasts the tallest control tower in the Air Force. In 1986, an air traffic controller was struck by <span class="hlt">lightning</span> as the bolt proceeded through the tower. Although he received only a backache, the <span class="hlt">lightning</span> left a hole with surrounding scorch marks on his fatigue shirt and his undershirt. The <span class="hlt">lightning</span> strike also ignited a portion of the field lighting panel, which caused the runway lights to go out immediately. Lack of a <span class="hlt">lightning</span> rod is the most likely reason the controller was struck. Proper precautions against <span class="hlt">lightning</span> strikes can prevent such occupational safety hazards. PMID:7966436</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5036177','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5036177"><span>Measuring Method for <span class="hlt">Lightning</span> Channel Temperature</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Li, X.; Zhang, J.; Chen, L.; Xue, Q.; Zhu, R.</p> <p>2016-01-01</p> <p>In this paper, we demonstrate the temperature of <span class="hlt">lightning</span> channel utilizing the theory of <span class="hlt">lightning</span> spectra and the model of local thermodynamic equilibrium (LTE). The impulse current generator platform (ICGS) was used to simulate the <span class="hlt">lightning</span> discharge channel, and the spectral energy of infrared spectroscopy (930 nm) and the visible spectroscopy (648.2 nm) of the simulated <span class="hlt">lightning</span> has been calculated. Results indicate that the peaks of luminous intensity of both infrared and visible spectra increase with the <span class="hlt">lightning</span> current intensity in range of 5–50 kA. Based on the results, the temperature of the <span class="hlt">lightning</span> channel is derived to be 6140.8–10424 K. Moreover, the temperature of the channel is approximately exponential to the <span class="hlt">lightning</span> current intensity, which shows good agreement with that of the natural <span class="hlt">lightning</span> cases. PMID:27665937</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016JGRD..12112298S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016JGRD..12112298S"><span>WWLLN <span class="hlt">lightning</span> and satellite microwave radiometrics at 37 to 183 GHz: Thunderstorms in the broad tropics</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Solorzano, N. N.; Thomas, J. N.; Hutchins, M. L.; Holzworth, R. H.</p> <p>2016-10-01</p> <p>We investigate <span class="hlt">lightning</span> strokes and deep convection through the examination of cloud-to-ground (CG) <span class="hlt">lightning</span> from the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) and passive microwave radiometer data. Microwave channels at 37 to 183.3 GHz are provided by the Tropical Rainfall Measuring Mission satellite (TRMM) Microwave <span class="hlt">Imager</span> (TMI) and the Special Sensor Microwave <span class="hlt">Imager</span>/Sounder (SSMIS) on the Defense Meteorological Satellite Program (DMSP) satellite F16. The present study compares WWLLN stroke rates and minimum radiometer brightness temperatures (Tbs) for two Northern Hemisphere and Southern Hemisphere summers (2009-2011) in the broad tropics (35°S to 35°N). To identify deep convection, we use <span class="hlt">lightning</span> data and Tbs derived from all channels and differences in the Tbs (ΔTbs) of the three water vapor channels near 183.3 GHz. We find that stroke probabilities increase with increasing Tb depressions for all frequencies examined. Moreover, we apply methods that use the 183.3 GHz channels to pinpoint deep convection associated with <span class="hlt">lightning</span>. High <span class="hlt">lightning</span> stroke probabilities are found over land regions for both intense and relatively weak convective systems, although the TMI 85 GHz results should be used with caution as they are affected by a 7 km gap between the conical scans. Over the ocean, <span class="hlt">lightning</span> is associated mostly with larger Tb depressions. Generally, our results support the noninductive thundercloud charging mechanism but do not rule out the inductive mechanism during the mature stages of storms. Lastly, we present a case study in which <span class="hlt">lightning</span> stroke rates are used to reconstruct microwave radiometer Tbs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA20533.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA20533.html"><span>Persistent Flooding in Louisiana <span class="hlt">Imaged</span> by <span class="hlt">NASA</span> Spacecraft</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2016-03-21</p> <p>Torrential rains in the mid-South of the United States in mid-March 2016 produced flooding throughout Texas, Louisiana and Mississippi. On March 21, 2016, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on <span class="hlt">NASA</span>'s Terra spacecraft acquired this <span class="hlt">image</span> showing persistent flooding along the Mississippi River between the Louisiana cities of Alexandria and Natchitoches. The <span class="hlt">image</span> covers an area of 25 to 36 miles (41 by 58 kilometers), and is located at 31.5 degrees north, 92.8 degrees west. http://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA20533</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120014477','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120014477"><span>An Analysis of Operational Total <span class="hlt">Lightning</span> Data During Long-Track Tornadoes</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Carcione, Brian C.; Stano, Geoffrey T.</p> <p>2012-01-01</p> <p>The 27 April 2011 tornado outbreak brought three distinct waves of tornadic thunderstorms to portions of Mississippi, Alabama, Tennessee, and Georgia, striking the Tennessee Valley of north Alabama and southern Tennessee particularly hard. A total of 42 tornado paths were surveyed across the fourteen county area covered by the National Weather Service (NWS) forecast office in Huntsville, Alabama. Ten of these tornadoes were on the ground for at least 20 miles, two had total path lengths over 130 miles, and six tornadoes were classified as violent (EF-4 or EF-5 on the Enhanced Fujita Scale). Many of these tornadoes occurred within the domain of the North Alabama <span class="hlt">Lightning</span> Mapping Array (NALMA), a ground-based total <span class="hlt">lightning</span> detection network owned and operated by the <span class="hlt">NASA</span> Marshall Space Flight Center. Since 2003, the <span class="hlt">NASA</span> Short-term Prediction Research and Transition Center has supplied data from NALMA in real time to NWS forecast offices in Huntsville, Knoxville/Tri-Cities, Birmingham, and Nashville. Previous research has documented the utility of total <span class="hlt">lightning</span> information in predicting tornadogenesis, particularly when combined with other remote sensing tools. Basic warning decision-making during events such as 27 April is not the most difficult part of the process; instead, the focus of warning meteorologists shifts to looking for changes in intensity or possible particularly dangerous situations, since doppler radar velocity data often cannot distinguish between weak and strong tornadoes. To that end, this research attempts to determine if any correlation exists between flash densities of the longest-tracked tornadoes over time, and the surveyed wind speeds of the tornadoes. The long-track EF-5 tornado which struck the Hackleburg, Phil Campbell, and Tanner communities in north Alabama was the primary focus of this research due to its intensity and extended life cycle. However, not all tornadoes were available for total <span class="hlt">lightning</span> analysis due to widespread</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790010065','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790010065"><span>Space Shuttle <span class="hlt">Lightning</span> Protection</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Suiter, D. L.; Gadbois, R. D.; Blount, R. L.</p> <p>1979-01-01</p> <p>The technology for <span class="hlt">lightning</span> protection of even the most advanced spacecraft is available and can be applied through cost-effective hardware designs and design-verification techniques. In this paper, the evolution of the Space Shuttle <span class="hlt">Lightning</span> Protection Program is discussed, including the general types of protection, testing, and anlayses being performed to assess the <span class="hlt">lightning</span>-transient-damage susceptibility of solid-state electronics.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE41A..03H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE41A..03H"><span>The <span class="hlt">Lightning</span> Mapping <span class="hlt">Imager</span> (LMI) on the FY-4 satellite and a typical application experiment using the LMI data</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Huang, F.; Hui, W.; Li, X.; Liu, R.; Zhang, Z.; Zheng, Y.; Kang, N.</p> <p>2017-12-01</p> <p>The <span class="hlt">Lightning</span> Mapping <span class="hlt">Imager</span> (LMI) on the FY-4A satellite, which was launched successfully in December 2016, is the first satellite-based <span class="hlt">lightning</span> detector from space independently developed in China, and one of the world's first two stationary satellite LMIs. The optical <span class="hlt">imaging</span> technique with a 400x600 CCD array plane and a frequency of 500 frames/s is adopted in the FY-4A LMI to perform real-time and continuous observation of total lightening in the Chinese mainland and adjacent areas. As of July 2017, the in-orbit test shows that the lightening observation date could be accurately obtained by the FY-4A LMI, and that the geo-location could be verified by the ground lightening observation network over China. Since the beginning of the 2017 flood season, every process of strong thunderstorms has been monitored by the FY-4A LMI throughout the various areas of China, and of these are used as a typical application case in this talk. On April 8 and 9, 2017, a strong convective precipitation process occurred in the middle-lower reaches of the Yangtze River, China. The observation data of the FY-4A LMI are used to monitor the occurrence, development, shift and extinction of the thunderstorm track. By means of analyzing the station's synchronous precipitation observation data, it is indicated that the moving track of the thunderstorm is not completely consistent with that of the precipitation center, and while the distribution areas of thunderstorm and precipitation are consistent to a certain extent, a significant difference also exists. This difference is mainly caused by the convective precipitation and stratus precipitation area during the precipitation process. Through comparative analysis, the preliminary satellite and foundation lightening observation data show a higher consistency. However, the time of lightening activity observed by satellite is one hour earlier than that of the ground observation, which is likely related to the total <span class="hlt">lightning</span> observation by</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018ApPhL.112f4103W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018ApPhL.112f4103W"><span>Study on the luminous characteristics of a natural ball <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, Hao; Yuan, Ping; Cen, Jianyong; Liu, Guorong</p> <p>2018-02-01</p> <p>According to the optical <span class="hlt">images</span> of the whole process of a natural ball <span class="hlt">lightning</span> recorded by two slit-less spectrographs in the Qinghai plateau of China, the simulated observation experiment on the luminous intensity of the spherical light source was carried out. The luminous intensity and the optical power of the natural ball <span class="hlt">lightning</span> in the wavelength range of 400-690 nm were estimated based on the experimental data and the Lambert-Beer Law. The results show that the maximum luminous intensity was about 1.24 × 105 cd in the initial stage of the natural ball <span class="hlt">lightning</span>, and the maximum luminous intensity and the maximum optical power in most time of its life were about 5.9 × 104 cd and 4.2 × 103 W, respectively.</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 <span class="hlt">IMAGES</span> 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 Global Precipitation Measurement (GPM) mission wants to see your best photos of winter weather! You can submit your <span class="hlt">images</span> to the contest here: www.flickr.com/groups/gpm-extreme-weather/ To read more about this <span class="hlt">image</span> 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('https://www.gpo.gov/fdsys/pkg/CFR-2011-title14-vol1/pdf/CFR-2011-title14-vol1-sec25-581.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title14-vol1/pdf/CFR-2011-title14-vol1-sec25-581.pdf"><span>14 CFR 25.581 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-01-01</p> <p>... STANDARDS: TRANSPORT CATEGORY AIRPLANES Structure <span class="hlt">Lightning</span> Protection § 25.581 <span class="hlt">Lightning</span> protection. (a) The airplane must be protected against catastrophic effects from <span class="hlt">lightning</span>. (b) For metallic... 14 Aeronautics and Space 1 2011-01-01 2011-01-01 false <span class="hlt">Lightning</span> protection. 25.581 Section 25.581...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title14-vol1/pdf/CFR-2014-title14-vol1-sec25-581.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title14-vol1/pdf/CFR-2014-title14-vol1-sec25-581.pdf"><span>14 CFR 25.581 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-01-01</p> <p>... STANDARDS: TRANSPORT CATEGORY AIRPLANES Structure <span class="hlt">Lightning</span> Protection § 25.581 <span class="hlt">Lightning</span> protection. (a) The airplane must be protected against catastrophic effects from <span class="hlt">lightning</span>. (b) For metallic... 14 Aeronautics and Space 1 2014-01-01 2014-01-01 false <span class="hlt">Lightning</span> protection. 25.581 Section 25.581...</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('https://www.gpo.gov/fdsys/pkg/CFR-2013-title14-vol1/pdf/CFR-2013-title14-vol1-sec25-581.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title14-vol1/pdf/CFR-2013-title14-vol1-sec25-581.pdf"><span>14 CFR 25.581 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-01-01</p> <p>... STANDARDS: TRANSPORT CATEGORY AIRPLANES Structure <span class="hlt">Lightning</span> Protection § 25.581 <span class="hlt">Lightning</span> protection. (a) The airplane must be protected against catastrophic effects from <span class="hlt">lightning</span>. (b) For metallic... 14 Aeronautics and Space 1 2013-01-01 2013-01-01 false <span class="hlt">Lightning</span> protection. 25.581 Section 25.581...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title14-vol1/pdf/CFR-2012-title14-vol1-sec25-581.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title14-vol1/pdf/CFR-2012-title14-vol1-sec25-581.pdf"><span>14 CFR 25.581 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-01-01</p> <p>... STANDARDS: TRANSPORT CATEGORY AIRPLANES Structure <span class="hlt">Lightning</span> Protection § 25.581 <span class="hlt">Lightning</span> protection. (a) The airplane must be protected against catastrophic effects from <span class="hlt">lightning</span>. (b) For metallic... 14 Aeronautics and Space 1 2012-01-01 2012-01-01 false <span class="hlt">Lightning</span> protection. 25.581 Section 25.581...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910023420','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910023420"><span>Voltages induced on a power distribution line by overhead cloud <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Yacoub, Ziad; Rubinstein, Marcos; Uman, Martin A.; Thomson, Ewen M.; Medelius, Pedro J.</p> <p>1991-01-01</p> <p>Voltages induced by overhead cloud <span class="hlt">lightning</span> on a 448 m open circuited power distribution line and the corresponding north-south component of the <span class="hlt">lightning</span> magnetic field were simultaneously measured at the <span class="hlt">NASA</span> Kennedy Space Center during the summer of 1986. The incident electric field was calculated from the measured magnetic field. The electric field was then used as an input to the computer program, EMPLIN, that calculated the voltages at the two ends of the power line. EMPLIN models the frequency domain field/power coupling theory found, for example, in Ianoz et al. The direction of the source, which is also one of the inputs to EMPLIN, was crudely determined from a three station time delay technique. The authors found reasonably good agreement between calculated and measured waveforms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19820000305&hterms=thunderstorm+protection&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dthunderstorm%2Bprotection','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19820000305&hterms=thunderstorm+protection&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dthunderstorm%2Bprotection"><span>The Design of <span class="hlt">Lightning</span> Protection</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>1983-01-01</p> <p>Engineering study guides design and monitoring of <span class="hlt">lightning</span> protection. Design studies for project are collected in 150-page report, containing wealth of information on design of <span class="hlt">lightning</span> protection systems and on instrumentation for monitoring current waveforms of <span class="hlt">lightning</span> strokes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20000074489&hterms=rodgers&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CBTWN%2B19940101%2B20001231%26N%3D0%26No%3D20%26Ntt%3Drodgers','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20000074489&hterms=rodgers&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAuthor-Name%26Nf%3DPublication-Date%257CBTWN%2B19940101%2B20001231%26N%3D0%26No%3D20%26Ntt%3Drodgers"><span>Tropical Cyclone <span class="hlt">Lightning</span> Distribution and Its Relationship to Convection and Intensity Change</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Rodgers, Edward; Wienman, James; Pierce, Harold; Olson, William</p> <p>2000-01-01</p> <p>The long distance National <span class="hlt">Lightning</span> Detection Network (NLDN) was used to monitor the distribution of <span class="hlt">lightning</span> strokes in various 1998 and 1999 western North Atlantic tropical cyclones. These ground-based <span class="hlt">lightning</span> observations together with the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/<span class="hlt">Imager</span> (SSM/I) and the Tropical Rain Mapping Mission (TRMM) Microwave Instrument (TMI) derived convective rain rates were used to monitor the propagation of electrically charged convective rain bands aid to qualitatively estimate intensification. An example of the <span class="hlt">lightning</span> analyses was performed on hurricane George between 25-28 September, 1998 when the system left Key West and moved towards the Louisiana coast. During this period of time, George's maximum winds increased from 38 to 45 meters per second on 25 September and then remained steady state until it made landfall. Time-radius displays of the <span class="hlt">lightning</span> strokes indicated that the greatest number of <span class="hlt">lightning</span> strokes occurred within the outer core region (greater than 165 km) with little or no <span class="hlt">lightning</span> strokes at radii less than 165 km. The trend in these <span class="hlt">lightning</span> strokes decreased as George move into the Gulf of Mexico and showed no inward propagation. The lack inward propagating <span class="hlt">lightning</span> strokes with time indicated that there was no evidence that an eye wall replacement was occurring that could alter George's intensity. Since George was steady state at this time, this result is not surprising. Time-azimuth displays of <span class="hlt">lightning</span> strokes in an annulus whose outer and inner radii were respectively, 222 and 333 km from George's center were also constructed. A result from this analysis indicated that the maximum number of strokes occurred in the forward and rear right quadrant when George was over the Gulf of Mexico. This result is, consistent with the aircraft and satellite observations of maximum rainfall.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140006442','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140006442"><span>Analytic Perturbation Method for Estimating Ground Flash Fraction from Satellite <span class="hlt">Lightning</span> Observations</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, William; Solakiewicz, Richard</p> <p>2013-01-01</p> <p>An analytic perturbation method is introduced for estimating the <span class="hlt">lightning</span> ground flash fraction in a set of N <span class="hlt">lightning</span> flashes observed by a satellite <span class="hlt">lightning</span> mapper. The value of N is large, typically in the thousands, and the observations consist of the maximum optical group area produced by each flash. The method is tested using simulated observations that are based on Optical Transient Detector (OTD) and <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data. National <span class="hlt">Lightning</span> Detection NetworkTM (NLDN) data is used to determine the flash-type (ground or cloud) of the satellite-observed flashes, and provides the ground flash fraction truth for the simulation runs. It is found that the mean ground flash fraction retrieval errors are below 0.04 across the full range 0-1 under certain simulation conditions. In general, it is demonstrated that the retrieval errors depend on many factors (i.e., the number, N, of satellite observations, the magnitude of random and systematic measurement errors, and the number of samples used to form certain climate distributions employed in the model).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19820019046','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19820019046"><span>Correlation of satellite <span class="hlt">lightning</span> observations with ground-based <span class="hlt">lightning</span> experiments in Florida, Texas and Oklahoma</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Edgar, B. C.; Turman, B. N.</p> <p>1982-01-01</p> <p>Satellite observations of <span class="hlt">lightning</span> were correlated with ground-based measurements of <span class="hlt">lightning</span> from data bases obtained at three separate sites. The percentage of ground-based observations of <span class="hlt">lightning</span> that would be seen by an orbiting satellite was determined.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA614923','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA614923"><span>Utilizing Four Dimensional <span class="hlt">Lightning</span> and Dual-Polarization Radar to Develop <span class="hlt">Lightning</span> Initiation Forecast Guidance</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>2015-03-26</p> <p>Electrification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.3 <span class="hlt">Lightning</span> Discharge ...charge is caused by falling graupel that is positively charged (Wallace and Hobbs 2006). 2.3 <span class="hlt">Lightning</span> Discharge <span class="hlt">Lightning</span> occurs when the electric...emission of positive corona from the surface of precipitation particles, causing the electric field to become locally enhanced and supporting the</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990113192&hterms=tornadoes+form&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dtornadoes%2Bform','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990113192&hterms=tornadoes+form&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dtornadoes%2Bform"><span>The Characteristics of Total <span class="hlt">Lightning</span> Activity in Severe Florida Thunderstorms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Williams, E.; Goodman, S. J.; Raghavan, R.; Boldi, R.; Matlin, A.; Weber, M.; Hodanish, S.; Sharp, D.</p> <p>1997-01-01</p> <p>Severe thunderstorms are defined by specific exceedance criteria regarding either wind speed (greater than or equal to 50 kts), hailstone diameter (greater than or equal to 3/4 inch), the occurrence of a tornado, or any combination thereof. Although traditional radar signatures of severe thunderstorms have been well documented, the characteristics of associated total <span class="hlt">lightning</span> activity (both intracloud and cloud-to-ground) of severe thunderstorms remain poorly established. The reason for this are (1) less than 1% of all storms are actually severe, (2) intracloud <span class="hlt">lightning</span>, which is typically the dominant form of electrical discharge within thunderstorms, is not routinely measured or recorded, (3) direct visual observations of intracloud <span class="hlt">lightning</span> are obscured during the daytime, and (4) the migratory nature of many severe thunderstorms can make the accurate detection and mapping of intracloud <span class="hlt">lightning</span> difficult when using fixed-location sensors. The recent establishment of LISDAD (<span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor Data Acquisition and Display - discussed in Goodman et al, this Meeting) has substantially addressed these limitations in east central Florida (ECFL). Analysis of total <span class="hlt">lightning</span> flash Count histories using the LDAR (<span class="hlt">Lightning</span> Detection And Ranging) system for known severe thunderstorms (currently irrespective of seasonal aspects and severe storm-type) has revealed flash rates exceeding 1 per second. This appears to be a necessary, but not sufficient,condition for most ECFL severe storm cases. The differences in radar-observed storm structure for high flash rate storms (to include both severe and non-severe categories) will be described together with the timing of peak flash rate vs. the timing of the severe weather manifestation. Comparisons with the satellite-bases OTD (Optical Transient Detector) overhead passes will also be presented when possible.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001210.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001210.html"><span><span class="hlt">NASA</span>'s SDO Shows <span class="hlt">Images</span> of Significant Solar Flare</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-02-25</p> <p>Caption: These SDO <span class="hlt">images</span> from 7:25 p.m. EST on Feb. 24, 2014, show the first moments of an X-class flare in different wavelengths of light -- seen as the bright spot that appears on the left limb of the sun. Hot solar material can be seen hovering above the active region in the sun's atmosphere, the corona. Credit: <span class="hlt">NASA</span>/SDO More info: The sun emitted a significant solar flare, peaking at 7:49 p.m. EST on Feb. 24, 2014. <span class="hlt">NASA</span>'s Solar Dynamics Observatory, which keeps a constant watch on the sun, captured <span class="hlt">images</span> of the event. Solar flares are powerful bursts of radiation, appearing as giant flashes of light in the SDO <span class="hlt">images</span>. Harmful radiation from a flare cannot pass through Earth's atmosphere to physically affect humans on the ground, however -- when intense enough -- they can disturb the atmosphere in the layer where GPS and communications signals travel. This flare is classified as an X4.9-class flare. X-class denotes the most intense flares, while the number provides more information about its strength. An X2 is twice as intense as an X1, an X3 is three times as intense, etc. <span class="hlt">NASA</span> <span class="hlt">image</span> 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://adsabs.harvard.edu/abs/2015MAP...127...17C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015MAP...127...17C"><span>The footprints of Saharan air layer and <span class="hlt">lightning</span> on the formation of tropical depressions over the eastern Atlantic Ocean</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Centeno Delgado, Diana C.; Chiao, Sen</p> <p>2015-02-01</p> <p>The roles of the Saharan Air Layer (SAL) and <span class="hlt">lightning</span> during genesis of Tropical Depression (TD) 8 (2006) and TD 12 (2010) were investigated in relation to the interaction of the dust outbreaks with each system and their surrounding environment. This study applied data collected from the 2006 <span class="hlt">NASA</span> African Monsoon Multidisciplinary Analysis and 2010 Genesis and Rapid Intensification Processes projects. Satellite observations from METEOSAT and Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS)—Aerosol Optical Depth (AOD) were also employed for the study of the dust content. <span class="hlt">Lightning</span> activity data from the Met Office Arrival Time Difference (ATD) system were used as another parameter to correlate moist convective overturning and a sign of cyclone formation. The AOD and <span class="hlt">lightning</span> analysis for TD 8 demonstrated the time-lag connection through their positive contribution to TC-genesis. TD 12 developed without strong dust outbreak, but with lower wind shear (2 m s-1) and an organized Mesoscale Convective System (MCS). Overall, the results from the combination of various data analyses in this study support the fact that both systems developed under either strong or weak dust conditions. From these two cases, the location (i.e., the target area) of strong versus weak dust outbreaks, in association with <span class="hlt">lightning</span>, were essential interactions that impacted TC-genesis. While our dust footprints hypothesis applied under strong dust conditions (i.e., TD 8), other factors (e.g., vertical wind shear, pre-existing vortex and trough location, thermodynamics) need to be evaluated as well. The results from this study suggest that the SAL is not a determining factor that affects the formation of tropical cyclones (i.e., TD 8 and TD 12).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1993JGR....9822887F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1993JGR....9822887F"><span>Parameters of triggered-<span class="hlt">lightning</span> flashes in Florida and Alabama</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Fisher, R. J.; Schnetzer, G. H.; Thottappillil, R.; Rakov, V. A.; Uman, M. A.; Goldberg, J. D.</p> <p>1993-12-01</p> <p>Channel base currents from triggered <span class="hlt">lightning</span> were measured at the <span class="hlt">NASA</span> Kennedy Space Center, Florida, during summer 1990 and at Fort McClellan, Alabama, during summer 1991. Additionally, 16-mm cinematic records with 3- or 5-ms resolution were obtained for all flashes, and streak camera records were obtained for three of the Florida flashes. The 17 flashes analyzed here contained 69 strokes, all lowering negative charge from cloud to ground. Statistics on interstroke interval, no-current interstroke interval, total stroke duration, total stroke charge, total stroke action integral (∫ i2dt), return stroke current wave front characteristics, time to half peak value, and return stroke peak current are presented. Return stroke current pulses, characterized by rise times of the order of a few microseconds or less and peak values in the range of 4 to 38 kA, were found not to occur until after any preceding current at the bottom of the <span class="hlt">lightning</span> channel fell below the noise level of less than 2 A. Current pulses associated with M components, characterized by slower rise times (typically tens to hundreds of microseconds) and peak values generally smaller than those of the return stroke pulses, occurred during established channel current flow of some tens to some hundreds of amperes. A relatively strong positive correlation was found between return stroke current average rate of rise and current peak. There was essentially no correlation between return stroke current peak and 10-90% rise time or between return stroke peak and the width of the current waveform at half of its peak value. Parameters of the <span class="hlt">lightning</span> flashes triggered in Florida and Alabama are similar to each other but are different from those of triggered <span class="hlt">lightning</span> recorded in New Mexico during the 1981 Thunderstorm Research International Program. Continuing currents that follow return stroke current peaks and last for more than 10 ms exhibit a variety of wave shapes that we have subdivided into four</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA13314.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA13314.html"><span><span class="hlt">NASA</span> Radar <span class="hlt">Images</span> Show Continued Deformation from Mexico Quake</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2010-08-04</p> <p>This <span class="hlt">image</span> shows a UAVSAR interferogram swath overlaid atop a Google Earth <span class="hlt">image</span>. New <span class="hlt">NASA</span> airborne radar <span class="hlt">images</span> show the continuing deformation in Earth surface resulting from the magnitude 7.2 temblor in Baja California on April 4, 2010.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017PlST...19l5301Y','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017PlST...19l5301Y"><span>Experimental and analytical investigation on metal damage suffered from simulated <span class="hlt">lightning</span> currents</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Yakun, LIU; Zhengcai, FU; Quanzhen, LIU; Baoquan, LIU; Anirban, GUHA</p> <p>2017-12-01</p> <p>The damage of two typical metal materials, Al alloy 3003 and steel alloy Q235B, subjected to four representative <span class="hlt">lightning</span> current components are investigated by laboratory and analytical studies to provide fundamental data for <span class="hlt">lightning</span> protection. The four <span class="hlt">lightning</span> components simulating the natural <span class="hlt">lightning</span> consist of the first return stroke, the continuing current of interval stroke, the long continuing current, and the subsequent stroke, with amplitudes 200 kA, 8 kA, 400 A, and 100 kA, respectively. The damage depth and area suffered from different <span class="hlt">lightning</span> components are measured by the ultrasonic scanning system. And the temperature rise is measured by the thermal <span class="hlt">imaging</span> camera. The results show that, for both Al 3003 and steel Q235B, the first return stroke component results in the largest damage area with damage depth 0.02 mm uttermost. The long continuing current component leads to the deepest damage depth of 3.3 mm for Al 3003 and much higher temperature rise than other components. The correlation analysis between damage results and <span class="hlt">lightning</span> parameters indicates that the damage depth has a positive correlation with charge transfer. The damage area is mainly determined by the current amplitude and the temperature rise increases linearly with the charge transfer larger.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1993SPIE.1757..120S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1993SPIE.1757..120S"><span>Applied <span class="hlt">imaging</span> at the <span class="hlt">NASA</span> Lewis Research Center</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Slater, Howard A.; Owens, Jay C.</p> <p>1993-01-01</p> <p><span class="hlt">NASA</span> Lewis Research Center in Cleveland, Ohio has just completed the celebration of its 50th anniversary. `During the past 50 years, Lewis helped win World War II, made jet aircraft safer and more efficient, helped Americans land on the Moon ... and engaged in the type of fundamental research that benefits all of us in our daily lives.' As part of the center's long history, the Photographic and Printing Branch has continued to develop and meet the center's research <span class="hlt">imaging</span> requirements. As <span class="hlt">imaging</span> systems continue to advance and researchers more clearly understand the power of <span class="hlt">imaging</span>, investigators are relying more and more on <span class="hlt">imaging</span> systems to meet program objectives. Today, the Photographic and Printing Branch supports a research community of over 5,000 including advocacy for <span class="hlt">NASA</span> Headquarters and other government agencies. Complete classified and unclassified <span class="hlt">imaging</span> services include high- speed <span class="hlt">image</span> acquisition, technical film and video documentaries, still <span class="hlt">imaging</span>, and conventional and unconventional photofinishing operations. These are the foundation of the branch's modern support function. This paper provides an overview of the varied applied <span class="hlt">imaging</span> programs managed by the Photographic and Printing Branch. Emphasis is placed on recent <span class="hlt">imaging</span> projects including icing research, space experiments, and an on-line <span class="hlt">image</span> archive.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19910023397','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19910023397"><span>The spatial variations of <span class="hlt">lightning</span> during small Florida thunderstorms</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Oram, Timothy D.; Krider, E. Philip</p> <p>1991-01-01</p> <p>Networks of field mills (FM's) and <span class="hlt">lightning</span> direction finders (LDF's) were used to locate <span class="hlt">lightning</span> over the <span class="hlt">NASA</span> KSC on three storm days. Over 90 percent of all cloud-to-ground (CG) flashes that were detected by the LDF's in the study area were also detected by the LDF's. About 17 percent of the FM CG events could be fitted to either a monopole or a dipole charge model. These projected FM charge locations are compared to LDF locations, i.e., the ground strike points. It was found that 95 percent of the LDF points are within 12 km of the FM charge, 75 percent are within 8 km, and 50 percent are within 4 km. For a storm on 22 Jul. 1988, there was a systematic 5.6 km shift between the FM charge centers and the LDF strike points that might have been caused by the meteorological structure of the storm.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1999cxo..pres...10.','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1999cxo..pres...10."><span><span class="hlt">NASA</span> Unveils First <span class="hlt">Images</span> From Chandra X-Ray Observatory</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p></p> <p>1999-08-01</p> <p>Extraordinary first <span class="hlt">images</span> from <span class="hlt">NASA</span>'s Chandra X-ray Observatory trace the aftermath of a gigantic stellar explosion in such stunning detail that scientists can see evidence of what may be a neutron star or black hole near the center. Another <span class="hlt">image</span> shows a powerful X-ray jet blasting 200,000 light years into intergalactic space from a distant quasar. Released today, both <span class="hlt">images</span> confirm that <span class="hlt">NASA</span>'s newest Great Observatory is in excellent health and its instruments and optics are performing up to expectations. Chandra, the world's largest and most sensitive X-ray telescope, is still in its orbital check-out and calibration phase. "When I saw the first <span class="hlt">image</span>, I knew that the dream had been realized," said Dr. Martin Weisskopf, Chandra Project Scientist, <span class="hlt">NASA</span>'s Marshall Space Flight Center, Huntsville, AL. "This observatory is ready to take its place in the history of spectacular scientific achievements." "We were astounded by these <span class="hlt">images</span>," said Harvey Tananbaum, Director of the Smithsonian Astrophysical Observatory's Chandra X- ray Center, Cambridge, MA. "We see the collision of the debris from the exploded star with the matter around it, we see shock waves rushing into interstellar space at millions of miles per hour, and, as a real bonus, we see for the first time a tantalizing bright point near the center of the remnant that could possibly be a collapsed star associated with the outburst." Chandra's PKS 0637-752 PKS 0637-752 After the telescope's sunshade door was opened last week, one of the first <span class="hlt">images</span> taken was of the 320-year-old supernova remnant Cassiopeia A, which astronomers believe was produced by the explosion of a massive star. Material blasted into space from the explosion crashed into surrounding material at 10 million miles per hour. This collision caused violent shock waves, like massive sonic booms, creating a vast 50-million degree bubble of X-ray emitting gas. Heavy elements in the hot gas produce X-rays of specific energies. Chandra's ability</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29073666','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29073666"><span>Trigeminal Neuralgia Following <span class="hlt">Lightning</span> Injury.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>López Chiriboga, Alfonso S; Cheshire, William P</p> <p>2017-01-01</p> <p><span class="hlt">Lightning</span> and other electrical incidents are responsible for more than 300 injuries and 100 deaths per year in the United States alone. <span class="hlt">Lightning</span> strikes can cause a wide spectrum of neurologic manifestations affecting any part of the neuraxis through direct strikes, side flashes, touch voltage, connecting leaders, or acoustic shock waves. This article describes the first case of trigeminal neuralgia induced by <span class="hlt">lightning</span> injury to the trigeminal nerve, thereby adding a new syndrome to the list of possible <span class="hlt">lightning</span>-mediated neurologic injuries.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001870.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001870.html"><span>Color <span class="hlt">Image</span> of Mercury from <span class="hlt">NASA</span>'s MESSENGER Satellite</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> <span class="hlt">image</span> acquired September 3, 2011 Dominici crater, the very bright crater to the top of this <span class="hlt">image</span>, exhibits bright rays and contains hollows. This crater lies upon the peak ring of Homer Basin, a very degraded peak ring basin that has been filled by volcanism. This <span class="hlt">image</span> contains several examples of craters that have excavated materials from depth that are spectrally distinct from the surface volcanic layers, providing windows into the subsurface. MESSENGER scientists are estimating the approximate depths of these spectrally distinct materials by applying knowledge of how impacts excavate material during the cratering process. The 1000, 750, and 430 nm bands of the Wide Angle Camera are displayed in red, green, and blue, respectively. This <span class="hlt">image</span> was acquired as a high-resolution targeted observation. Targeted observations are <span class="hlt">images</span> of a small area on Mercury's surface at resolutions much higher than the 250-meter/pixel (820 feet/pixel) morphology base map or the 1-kilometer/pixel (0.6 miles/pixel) color base map. It is not possible to cover all of Mercury's surface at this high resolution during MESSENGER's one-year mission, but several areas of high scientific interest are generally <span class="hlt">imaged</span> in this mode each week. The MESSENGER spacecraft is the first ever to orbit the planet Mercury, and the spacecraft's seven scientific instruments and radio science investigation are unraveling the history and evolution of the Solar System's innermost planet. Visit the Why Mercury? section of this website to learn more about the key science questions that the MESSENGER mission is addressing. During the one-year primary mission, MDIS is scheduled to acquire more than 75,000 <span class="hlt">images</span> in support of MESSENGER's science goals. Credit: <span class="hlt">NASA</span>/Johns Hopkins University Applied Physics Laboratory/Carnegie Institution of Washington <span class="hlt">NASA</span> <span class="hlt">image</span> use policy. <span class="hlt">NASA</span> Goddard Space Flight Center enables NASA’s mission through four scientific endeavors: Earth Science, Heliophysics, Solar System</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20090032643&hterms=bateman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dbateman','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20090032643&hterms=bateman&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dbateman"><span>Developing <span class="hlt">Lightning</span> Prediction Tools for the CCAFS Dual-Polarimetric Radar</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Petersen, W. A.; Carey, L. D.; Deierling, W.; Johnson, E.; Bateman, M.</p> <p>2009-01-01</p> <p><span class="hlt">NASA</span> Marshall Space Flight Center and the University of Alabama Huntsville are collaborating with the 45th Weather Squadron (45WS) to develop improved <span class="hlt">lightning</span> prediction capabilities for the new C-band dual-polarimetric weather radar being acquired for use by 45WS and launch weather forecasters at Cape Canaveral Air Force Station (CCAFS). In particular, these algorithms will focus on <span class="hlt">lightning</span> onset, cessation and combined <span class="hlt">lightning</span>-radar applications for convective winds assessment. Research using radar reflectivity (Z) data for prediction of <span class="hlt">lightning</span> onset has been extensively discussed in the literature and subsequently applied by launch weather forecasters as it pertains to <span class="hlt">lightning</span> nowcasting. Currently the forecasters apply a relatively straight forward but effective temperature-Z threshold algorithm for assessing the likelihood of <span class="hlt">lightning</span> onset in a given storm. In addition, a layered VIL above the freezing level product is used as automated guidance for the onset of <span class="hlt">lightning</span>. Only limited research and field work has been conducted on <span class="hlt">lightning</span> cessation using Z and vertically-integrated Z for determining cessation. Though not used operationally vertically-integrated Z (basis for VIL) has recently shown promise as a tool for use in nowcasting <span class="hlt">lightning</span> cessation. The work discussed herein leverages and expands upon these and similar reflectivity-threshold approaches via the application/addition of over two decades of polarimetric radar research focused on distinct multi-parameter radar signatures of ice/mixed-phase initiation and ice-crystal orientation in highly electrified convective clouds. Specifically, our approach is based on numerous previous studies that have observed repeatable patterns in the behavior of the vertical hydrometeor column as it relates to the temporal evolution of differential reflectivity and depolarization (manifested in either LDR or p(sub hv)), development of in-situ mixed and ice phase microphysics, electric fields, and</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('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000496.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e000496.html"><span><span class="hlt">NASA</span> Releases New High-Resolution Earthrise <span class="hlt">Image</span></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 Lunar Reconnaissance Orbiter (LRO) recently captured a unique view of Earth from the spacecraft's vantage point in orbit around the moon. "The <span class="hlt">image</span> is simply stunning," said Noah Petro, Deputy Project Scientist for LRO at <span class="hlt">NASA</span>'s Goddard Space Flight Center in Greenbelt, Maryland. "The <span class="hlt">image</span> of the Earth evokes the famous 'Blue Marble' <span class="hlt">image</span> taken by Astronaut Harrison Schmitt during Apollo 17, 43 years ago, which also showed Africa prominently in the picture." In this composite <span class="hlt">image</span> we see Earth appear to rise over the lunar horizon from the viewpoint of the spacecraft, with the center of the Earth just off the coast of Liberia (at 4.04 degrees North, 12.44 degrees West). The large tan area in the upper right is the Sahara Desert, and just beyond is Saudi Arabia. The Atlantic and Pacific coasts of South America are visible to the left. On the moon, we get a glimpse of the crater Compton, which is located just beyond the eastern limb of the moon, on the lunar farside. LRO was launched on June 18, 2009, and has collected a treasure trove of data with its seven powerful instruments, making an invaluable contribution to our knowledge about the moon. LRO experiences 12 earthrises every day; however the spacecraft is almost always busy <span class="hlt">imaging</span> the lunar surface so only rarely does an opportunity arise such that its camera instrument can capture a view of Earth. Occasionally LRO points off into space to acquire observations of the extremely thin lunar atmosphere and perform instrument calibration measurements. During these movements sometimes Earth (and other planets) pass through the camera's field of view and dramatic <span class="hlt">images</span> such as the one shown here are acquired. This <span class="hlt">image</span> was composed from a series of <span class="hlt">images</span> taken Oct. 12, when LRO was about 83 miles (134 kilometers) above the moon's farside crater Compton. Capturing an <span class="hlt">image</span> of the Earth and moon with LRO's Lunar Reconnaissance Orbiter Camera (LROC) instrument is a complicated task. First the spacecraft</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19840033384&hterms=cosmetic&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dcosmetic','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19840033384&hterms=cosmetic&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dcosmetic"><span>The <span class="hlt">NASA</span> F-106B Storm Hazards Program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Neely, W. R., Jr.; Fisher, B. D.</p> <p>1983-01-01</p> <p>During the <span class="hlt">NASA</span> LRC Storm Hazards Program, 698 thunderstorm precipitations were made from 1980 to 1983 with an F-106B aircraft in order to record direct <span class="hlt">lightning</span> strike data and the associated flight conditions. It was found that each of the three composite fin caps tested experienced multiple <span class="hlt">lightning</span> attachments with only minor cosmetic damage. The maximum current level was only 20 ka, which is well below the design standard of 200 ka; however, indications are that the current rate of rise standard has been approached and may be exceeded in a major strike. The peak <span class="hlt">lightning</span> strike rate occurred at ambient temperatures between -40 and -45 C, while most previously reported strikes have occurred at or near the freezing level. No significant operational difficulties or major aircraft damage resulting from the thunderstorm penetrations have been found.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120002866','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120002866"><span>Multicolor Photometric Observation of <span class="hlt">Lightning</span> from Space: Comparison with Radio Measurements</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Adachi, Toru; Cohen, Morris; Said, Ryan; Blakeslee, Richard J.; Cummer, Steven A.; Li, Jingbo; Lu, Geopeng; Hsu, Rue-Ron; Su, Han-Tzong; Chen, Alfred Bing-Chih; <a style="text-decoration: none; " href="javascript:void(0); " onClick="displayelement('author_20120002866'); toggleEditAbsImage('author_20120002866_show'); toggleEditAbsImage('author_20120002866_hide'); "> <img style="display:inline; width:12px; height:12px; " src="images/arrow-up.gif" width="12" height="12" border="0" alt="hide" id="author_20120002866_show"> <img style="width:12px; height:12px; display:none; " src="images/arrow-down.gif" width="12" height="12" border="0" alt="hide" id="author_20120002866_hide"></p> <p>2011-01-01</p> <p>This study evaluates the effectiveness of spectrophotometric measurements from space in revealing properties of <span class="hlt">lightning</span> flash. The multicolor optical waveform data obtained by FORMOSAT-2/<span class="hlt">Imager</span> of Sprites and Upper Atmospheric <span class="hlt">Lightning</span> (ISUAL) were analyzed in relation to National <span class="hlt">Lightning</span> Detection Network (NLDN), North Alabama <span class="hlt">Lightning</span> Mapping Array (LMA). As of July 2011, we found six <span class="hlt">lightning</span> events which were observed by ISUAL and North Alabama LMA. In two of these events, NLDN showed clear positive cloud-to-ground (CG) discharges with peak current of +139.9 kA and +41.6 kA and, around that time, LMA showed continuous intra-cloud (IC) leader activities at 4-6 km altitudes. ISUAL also observed consistent optical waveforms of the IC and CG components and, interestingly, it was found that the blue/red spectral ratio clearly decreased by a factor of 1.5-2.5 at the time of CG discharges. Other four <span class="hlt">lightning</span> events in which NLDN did not detect any CG discharges were also investigated, but such a feature was not found in any of these cases. These results suggest that the optical color of CG component is more reddish than that of IC component and we explain this as a result of more effective Rayleigh scattering in blue light emissions coming from lower-altitude light source. This finding suggests that spectral measurements could be a new useful technique to characterize ICs and CGs from space. In this talk, we will also present a result from <span class="hlt">lightning</span> statistical analysis of ISUAL spectrophotometric data and ULF magnetic data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/20817399','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/20817399"><span>Industrial accidents triggered by <span class="hlt">lightning</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Renni, Elisabetta; Krausmann, Elisabeth; Cozzani, Valerio</p> <p>2010-12-15</p> <p>Natural disasters can cause major accidents in chemical facilities where they can lead to the release of hazardous materials which in turn can result in fires, explosions or toxic dispersion. <span class="hlt">Lightning</span> strikes are the most frequent cause of major accidents triggered by natural events. In order to contribute towards the development of a quantitative approach for assessing <span class="hlt">lightning</span> risk at industrial facilities, <span class="hlt">lightning</span>-triggered accident case histories were retrieved from the major industrial accident databases and analysed to extract information on types of vulnerable equipment, failure dynamics and damage states, as well as on the final consequences of the event. The most vulnerable category of equipment is storage tanks. <span class="hlt">Lightning</span> damage is incurred by immediate ignition, electrical and electronic systems failure or structural damage with subsequent release. Toxic releases and tank fires tend to be the most common scenarios associated with <span class="hlt">lightning</span> strikes. Oil, diesel and gasoline are the substances most frequently released during <span class="hlt">lightning</span>-triggered Natech accidents. Copyright © 2010 Elsevier B.V. All rights reserved.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1983RvGSP..21..892W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1983RvGSP..21..892W"><span>Planetary <span class="hlt">lightning</span> - Earth, Jupiter, and Venus</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Williams, M. A.; Krider, E. P.; Hunten, D. M.</p> <p>1983-05-01</p> <p>The principal characteristics of <span class="hlt">lightning</span> on earth are reviewed, and the evidence for <span class="hlt">lightning</span> on Venus and Jupiter is examined. The mechanisms believed to be important to the electrification of terrestrial clouds are reviewed, with attention given to the applicability of some of these mechanisms to the atmospheres of Venus and Jupiter. The consequences of the existence of <span class="hlt">lightning</span> on Venus and Jupiter for their atmospheres and for theories of cloud electrification on earth are also considered. Since spacecraft observations do not conclusively show that <span class="hlt">lightning</span> does occur on Venus, it is suggested that alternative explanations for the experimental results be explored. Since Jupiter has no true surface, the Jovian <span class="hlt">lightning</span> flashes are cloud dischargaes. Observations suggest that Jovian <span class="hlt">lightning</span> emits, on average, 10 to the 10 J of optical energy per flash, whereas on earth <span class="hlt">lightning</span> radiates only about 10 to the 6th J per flash. Estimates of the average planetary <span class="hlt">lightning</span> rate on Jupiter range from 0.003 per sq km per yr to 40 per sq km per yr.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE41A..06S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE41A..06S"><span>Combining GOES-16 Geostationary <span class="hlt">Lightning</span> Mapper with the ground based Earth Networks Total <span class="hlt">Lightning</span> Network</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Stock, M.; Lapierre, J. L.; Zhu, Y.</p> <p>2017-12-01</p> <p>Recently, the Geostationary <span class="hlt">Lightning</span> Mapper (GLM) began collecting optical data to locate <span class="hlt">lightning</span> events and flashes over the North and South American continents. This new instrument promises uniformly high detection efficiency (DE) over its entire field of view, with location accuracy on the order of 10 km. In comparison, Earth Networks Total <span class="hlt">Lightning</span> Networks (ENTLN) has a less uniform coverage, with higher DE in regions with dense sensor coverage, and lower DE with sparse sensor coverage. ENTLN also offers better location accuracy, <span class="hlt">lightning</span> classification, and peak current estimation for their <span class="hlt">lightning</span> locations. It is desirable to produce an integrated dataset, combining the strong points of GLM and ENTLN. The easiest way to achieve this is to simply match located <span class="hlt">lightning</span> processes from each system using time and distance criteria. This simple method will be limited in scope by the uneven coverage of the ground based network. Instead, we will use GLM group locations to look up the electric field change data recorded by ground sensors near each GLM group, vastly increasing the coverage of the ground network. The ground waveforms can then be used for: improvements to differentiation between glint and <span class="hlt">lightning</span> for GLM, higher precision lighting location, current estimation, and <span class="hlt">lightning</span> process classification. Presented is an initial implementation of this type of integration using preliminary GLM data, and waveforms from ENTLN.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19920000497&hterms=faraday&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dfaraday','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19920000497&hterms=faraday&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3Dfaraday"><span>Faraday Cage Protects Against <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jafferis, W.; Hasbrouck, R. T.; Johnson, J. P.</p> <p>1992-01-01</p> <p>Faraday cage protects electronic and electronically actuated equipment from <span class="hlt">lightning</span>. Follows standard <span class="hlt">lightning</span>-protection principles. Whether <span class="hlt">lightning</span> strikes cage or cables running to equipment, current canceled or minimized in equipment and discharged into ground. Applicable to protection of scientific instruments, computers, radio transmitters and receivers, and power-switching equipment.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980219352','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980219352"><span>Development of Algorithms and Error Analyses for the Short Baseline <span class="hlt">Lightning</span> Detection and Ranging System</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Starr, Stanley O.</p> <p>1998-01-01</p> <p><span class="hlt">NASA</span>, at the John F. Kennedy Space Center (KSC), developed and operates a unique high-precision <span class="hlt">lightning</span> location system to provide <span class="hlt">lightning</span>-related weather warnings. These warnings are used to stop <span class="hlt">lightning</span>- sensitive operations such as space vehicle launches and ground operations where equipment and personnel are at risk. The data is provided to the Range Weather Operations (45th Weather Squadron, U.S. Air Force) where it is used with other meteorological data to issue weather advisories and warnings for Cape Canaveral Air Station and KSC operations. This system, called <span class="hlt">Lightning</span> Detection and Ranging (LDAR), provides users with a graphical display in three dimensions of 66 megahertz radio frequency events generated by <span class="hlt">lightning</span> processes. The locations of these events provide a sound basis for the prediction of <span class="hlt">lightning</span> hazards. This document provides the basis for the design approach and data analysis for a system of radio frequency receivers to provide azimuth and elevation data for <span class="hlt">lightning</span> pulses detected simultaneously by the LDAR system. The intent is for this direction-finding system to correct and augment the data provided by LDAR and, thereby, increase the rate of valid data and to correct or discard any invalid data. This document develops the necessary equations and algorithms, identifies sources of systematic errors and means to correct them, and analyzes the algorithms for random error. This data analysis approach is not found in the existing literature and was developed to facilitate the operation of this Short Baseline LDAR (SBLDAR). These algorithms may also be useful for other direction-finding systems using radio pulses or ultrasonic pulse data.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19850008037&hterms=cookbook&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dcookbook','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19850008037&hterms=cookbook&qs=N%3D0%26Ntk%3DAll%26Ntx%3Dmode%2Bmatchall%26Ntt%3Dcookbook"><span><span class="hlt">Lightning</span> research: A user's lament</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Golub, C. N.</p> <p>1984-01-01</p> <p>As a user of devices and procedures for <span class="hlt">lightning</span> protection, the author is asking the <span class="hlt">lightning</span> research community for cookbook recipes to help him solve his problems. He is lamenting that realistic devices are scarce and that his mission does not allow him the time nor the wherewithal to bridge the gap between research and applications. A few case histories are presented. In return for their help he is offering researchers a key to <span class="hlt">lightning</span> technology--the use of the Eastern Test Range and its extensive resources as a proving ground for their experiment in the <span class="hlt">lightning</span> capital of the United States. A current example is given--a joint <span class="hlt">lightning</span> characterization project to take place there. Typical resources are listed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20010098304','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20010098304"><span>Precipitation-<span class="hlt">Lightning</span> Relationships on a Global Basis and a Study of Tropical Continental Convection in TRMM Brazil</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Williams, Earle R.</p> <p>2001-01-01</p> <p>This report is concerned with a summary of work completed under <span class="hlt">NASA</span> Grant NAG5-4778 entitled: "Precipitation-<span class="hlt">Lightning</span> 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 <span class="hlt">NASA</span> TRMM LBA field program in Brazil.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.ars.usda.gov/research/publications/publication/?seqNo115=235560','TEKTRAN'); return false;" href="http://www.ars.usda.gov/research/publications/publication/?seqNo115=235560"><span>Vegetation canopy structure from <span class="hlt">NASA</span> EOS multiangle <span class="hlt">imaging</span></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>We used red band bidirectional reflectance data from the <span class="hlt">NASA</span> Multiangle <span class="hlt">Imaging</span> SpectroRadiometer (MISR) and the MODerate resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) mapped onto a 250 m grid in a multiangle approach to obtain estimates of woody plant fractional cover and crown height through adjus...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/21143289-approach-lightning-overvoltage-protection-medium-voltage-lines-severe-lightning-areas','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/21143289-approach-lightning-overvoltage-protection-medium-voltage-lines-severe-lightning-areas"><span>An Approach to the <span class="hlt">Lightning</span> Overvoltage Protection of Medium Voltage Lines in Severe <span class="hlt">Lightning</span> Areas</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>Omidiora, M. A.; Lehtonen, M.</p> <p>2008-05-08</p> <p>This paper deals with the effect of shield wires on <span class="hlt">lightning</span> overvoltage reduction and the energy relief of MOV (Metal Oxide Varistor) arresters from direct strokes to distribution lines. The subject of discussion is the enhancement of <span class="hlt">lightning</span> protection in Finnish distribution networks where <span class="hlt">lightning</span> is most severe. The true index of <span class="hlt">lightning</span> severity in these areas is based on the ground flash densities and return stroke data collected from the Finnish meteorological institute. The presented test case is the IEEE 34-node test feeder injected with multiple <span class="hlt">lightning</span> strokes and simulated with the Alternative Transients Program/Electromagnetic Transients program (ATP/EMTP). Themore » response of the distribution line to <span class="hlt">lightning</span> strokes was modeled with three different cases: no protection, protection with surge arresters and protection with a combination of shield wire and arresters. Simulations were made to compare the resulting overvoltages on the line for all the analyzed cases.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMAE31A0267Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMAE31A0267Z"><span>Statistical Patterns in Natural <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zoghzoghy, F. G.; Cohen, M.; Said, R.; Inan, U. S.</p> <p>2011-12-01</p> <p>Every day millions of <span class="hlt">lightning</span> flashes occur around the globe but the understanding of this natural phenomenon is still lacking. Fundamentally, <span class="hlt">lightning</span> is nature's way of destroying charge separation in clouds and restoring electric neutrality. Thus, statistical patterns of <span class="hlt">lightning</span> activity indicate the scope of these electric discharges and offer a surrogate measure of timescales for charge buildup in thunderclouds. We present a statistical method to investigate spatio-temporal correlations among <span class="hlt">lightning</span> flashes using National <span class="hlt">Lightning</span> Detection Network (NLDN) stroke data. By monitoring the distribution of <span class="hlt">lightning</span> activity, we can observe the charging and discharging processes in a given thunderstorm. In particular, within a given storm, the flashes do not occur as a memoryless random process. We introduce the No Flash Zone (NFZ) which results from the suppressed probability of two consecutive neighboring flashes. This effect lasts for tens of seconds and can extend up to 15 km around the location of the initial flash, decaying with time. This suppression effect may be a function of variables such as storm location, storm phase, and stroke peak current. We develop a clustering algorithm, Storm-Locator, which groups strokes into flashes, storm cells, and thunderstorms, and enables us to study <span class="hlt">lightning</span> and the NFZ in different geographical regions, and for different storms. The recursive algorithm also helps monitor the interaction among spatially displaced storm cells, and can provide more insight into the spatial and temporal impacts of <span class="hlt">lightning</span> discharges.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AtmRe.178..304S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AtmRe.178..304S"><span><span class="hlt">Lightning</span> climatology in the Congo Basin</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Soula, S.; Kasereka, J. Kigotsi; Georgis, J. F.; Barthe, C.</p> <p>2016-09-01</p> <p>The <span class="hlt">lightning</span> climatology of the Congo Basin including several countries of Central Africa is analysed in detail for the first time. It is based on data from the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN), for the period from 2005 to 2013. A comparison of these data with <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data for the same period shows the relative detection efficiency of the WWLLN (DE) in the 2500 km × 2500 km region increases from about 1.70% in the beginning of the period to 5.90% in 2013, and it is in agreement with previous results for other regions of the world. However, the increase of DE is not uniform over the whole region. The average monthly flash rate describes an annual cycle with a strong activity from October to March and a low one from June to August, associated with the ITCZ migration but not exactly symmetrical on both sides of the equator. The zonal distribution of the <span class="hlt">lightning</span> flashes exhibits a maximum between 1°S and 2°S and about 56% of the flashes are located south of the equator in the 10°S-10°N interval. The diurnal evolution of the flash rate has a maximum between 1400 and 1700 UTC, according to the reference year. The annual flash density and number of stormy days show a sharp maximum localized in the eastern part of Democratic Republic of Congo (DRC) regardless of the reference year and the period of the year. These maxima reach 12.86 fl km- 2 and 189 days, respectively, in 2013, and correspond to a very active region located at the rear of the Virunga mountain range at altitudes that exceed 3000 m. The presence of these mountains plays a role in the thunderstorm development along the year. The estimation of this local maximum of the <span class="hlt">lightning</span> density by taking into account the DE, leads to a value consistent with that of the global climatology by Christian et al. (2003).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19800013441','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19800013441"><span><span class="hlt">Lightning</span> Technology: Proceedings of a Technical Symposium</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p></p> <p>1980-01-01</p> <p>Several facets of <span class="hlt">lightning</span> technology are considered including phenomenology, measurement, detection, protection, interaction, and testing. <span class="hlt">Lightning</span> electromagnetics, protection of ground systems, and simulated <span class="hlt">lightning</span> testing are emphasized. The <span class="hlt">lightning</span>-instrumented F-106 aircraft is described.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005JASTP..67..423J','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005JASTP..67..423J"><span>Oxide reduction during triggered-<span class="hlt">lightning</span> fulgurite formation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Jones, B. E.; Jones, K. S.; Rambo, K. J.; Rakov, V. A.; Jerald, J.; Uman, M. A.</p> <p>2005-03-01</p> <p>In this study triggered-<span class="hlt">lightning</span> induced fulgurites were formed in 99.9% pure binary oxides of manganese (MnO) and nickel (NiO) in order to study oxide reduction mechanisms. The fulgurite formation process involved packing the oxide in PVC holders and using the standard rocket-and-wire technique to trigger a <span class="hlt">lightning</span> strike through the oxide at the International Center for <span class="hlt">Lightning</span> Research and Testing in Camp Blanding, Florida. These two oxides were chosen from the thermodynamic extrapolation of the oxide stability using the Ellingham Diagram. This diagram indicates that NiO is significantly less stable than MnO. Fulgurites from the pure oxides were analyzed in a scanning electron microscope (SEM); secondary electron <span class="hlt">images</span>, backscattered <span class="hlt">images</span> and energy dispersive spectroscopy (EDS) were used to determine the microstructure and composition of the fulgurites. SEM/EDS analysis of the NiO and MnO prior to fulgurite formation confirmed they were pure binary oxides with no metallic contamination. After fulgurite formation, it was found that the nickel oxide fulgurite contained metallic nickel particles; the manganese oxide fulgurite showed no metallic phase formation. Transmission electron microscopy (TEM) examination confirmed that the MnO was a pure oxide with no sign of metallic phase formation. However, TEM results of the NiO showed that approximately 50% of the NiO was reduced to metallic face-centered cubic Ni. The Ni and NiO were observed to be coherent with the [1 0 0]Ni//[1 0 0]NiO and [1 1 0]Ni//[1 1 0]NiO. These results are consistent with the aforementioned thermodynamic stability calculations and show that the presence of carbonaceous material or mixtures of oxides is not necessary for oxide reduction during fulgurite formation. These studies do not rule out the possibility that electrolysis plays a role in oxide reduction. However, these fulgurites were made simultaneously during the same <span class="hlt">lightning</span> strike and therefore were subjected to the same</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/7236988-lightning-protection-distribution-lines','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/7236988-lightning-protection-distribution-lines"><span><span class="hlt">Lightning</span> protection of distribution lines</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>McDermott, T.E.; Short, T.A.; Anderson, J.G.</p> <p>1994-01-01</p> <p>This paper reports a study of distribution line <span class="hlt">lightning</span> performance, using computer simulations of <span class="hlt">lightning</span> overvoltages. The results of previous investigations are extended with a detailed model of induced voltages from nearby strokes, coupled into a realistic power system model. The paper also considers the energy duty of distribution-class surge arresters exposed to direct strokes. The principal result is that widely separated pole-top arresters can effectively protect a distribution line from induced-voltage flashovers. This means that nearby <span class="hlt">lightning</span> strokes need not be a significant <span class="hlt">lightning</span> performance problem for most distribution lines.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19790006134','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19790006134"><span><span class="hlt">Lightning</span> current detector</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Livermore, S. F. (Inventor)</p> <p>1978-01-01</p> <p>An apparatus for measuring the intensity of current produced in an elongated electrical conductive member by a <span class="hlt">lightning</span> strike for determining the intensity of the <span class="hlt">lightning</span> strike is presented. The apparatus includes an elongated strip of magnetic material that is carried within an elongated tubular housing. A predetermined electrical signal is recorded along the length of said elongated strip of magnetic material. One end of the magnetic material is positioned closely adjacent to the electrically conductive member so that the magnetic field produced by current flowing through said electrically conductive member disturbs a portion of the recorded electrical signal directly proportional to the intensity of the <span class="hlt">lightning</span> strike.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.4797K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.4797K"><span><span class="hlt">Lightning</span> climatology in the Congo Basin: methodology and first results</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kigotsi, Jean; Soula, Serge; Georgis, Jean-François; Barthe, Christelle</p> <p>2016-04-01</p> <p>The global climatology of <span class="hlt">lightning</span> issued from space observations (OTD and LIS) clearly showed the maximum of the thunderstorm activity is located in a large area of the Congo Basin, especially in the Democratic Republic of Congo (DRC). The first goal of the present study is to compare observations from the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) over a 9-year period (2005-2013) in this 2750 km × 2750 km area. The second goal is to analyse the <span class="hlt">lightning</span> activity in terms of time and space variability. The detection efficiency (DE) of the WWLLN relative to LIS has increased between 2005 and 2013, typically from about 1.70 % to 5.90 %, in agreement with previous results for other regions of the world. The mean monthly flash rate describes an annual cycle with a maximum between November and March and a minimum between June and August, associated with the ICTZ migration but not exactly symmetrical on both sides of the equator. The diurnal evolution of the flash rate has a maximum between 1400 and 1700 UTC, depending on the reference year, in agreement with previous works in other regions of the world. The annual flash density shows a sharp maximum localized in eastern DRC regardless of the reference year and the period of the year. This annual maximum systematically located west of Kivu Lake corresponds to that previously identified by many authors as the worldwide maximum which Christian et al. (2013) falsely attributed to Rwanda. Another more extended region within the Congo Basin exhibits moderately large values, especially during the beginning of the period analyzed. A comparison of both patterns of <span class="hlt">lightning</span> density from the WWLLN and from LIS allows to validate the representativeness of this world network and to restitute the total <span class="hlt">lightning</span> activity in terms of <span class="hlt">lightning</span> density and rate.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMNH23E2864R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMNH23E2864R"><span>An In Depth Look at <span class="hlt">Lightning</span> Trends in Hurricane Harvey using Satellite and Ground-Based Measurements</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ringhausen, J.</p> <p>2017-12-01</p> <p>This research combines satellite measurements of <span class="hlt">lightning</span> in Hurricane Harvey with ground-based <span class="hlt">lightning</span> measurements to get a better sense of the total <span class="hlt">lightning</span> occurring in the hurricane, both intra-cloud (IC) and cloud-to-ground (CG), and how it relates to the intensification and weakening of the tropical system. Past studies have looked at <span class="hlt">lightning</span> trends in hurricanes using the space based <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) or ground-based <span class="hlt">lightning</span> detection networks. However, both of these methods have drawbacks. For instance, LIS was in low earth orbit, which limited <span class="hlt">lightning</span> observations to 90 seconds for a particular point on the ground; hence, continuous <span class="hlt">lightning</span> coverage of a hurricane was not possible. Ground-based networks can have a decreased detection efficiency, particularly for ICs, over oceans where hurricanes generally intensify. With the launch of the Geostationary <span class="hlt">Lightning</span> Mapper (GLM) on the GOES-16 satellite, researchers can study total <span class="hlt">lightning</span> continuously over the lifetime of a tropical cyclone. This study utilizes GLM to investigate total <span class="hlt">lightning</span> activity in Hurricane Harvey temporally; this is augmented with spatial analysis relative to hurricane structure, similar to previous studies. Further, GLM and ground-based network data are combined using Bayesian techniques in a new manner to leverage the strengths of each detection method. This methodology 1) provides a more complete estimate of <span class="hlt">lightning</span> activity and 2) enables the derivation of the IC:CG ratio (Z-ratio) throughout the time period of the study. In particular, details of the evolution of the Z-ratio in time and space are presented. In addition, <span class="hlt">lightning</span> stroke spatiotemporal trends are compared to <span class="hlt">lightning</span> flash trends. This research represents a new application of <span class="hlt">lightning</span> data that can be used in future study of tropical cyclone intensification and weakening.</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('https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ610411','ERIC'); return false;" href="https://eric.ed.gov/?q=The+AND+lightning&pg=2&id=EJ610411"><span>Updated <span class="hlt">Lightning</span> Safety Recommendations.</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>Vavrek, R. James; Holle, Ronald L.; Lopez, Raul E.</p> <p>1999-01-01</p> <p>Summarizes the recommendations of the <span class="hlt">Lightning</span> Safety Group (LSG), which was first convened during the 1998 American Meteorological Society Conference. Findings outline appropriate actions under various circumstances when <span class="hlt">lightning</span> threatens. (WRM)</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001940.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001940.html"><span><span class="hlt">NASA</span> Satellite <span class="hlt">Image</span> of Japan Captured March 11, 2011</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 Aqua satellite passed over Japan one hour and 41 minutes before the quake hit. At the time Aqua passed overhead, the Moderate Resolution <span class="hlt">Imaging</span> Spectroradiometer (MODIS) instrument captured a visible of Japan covered by clouds. The <span class="hlt">image</span> was taken at 0405 UTC on March 11 (1:05 p.m. local time Japan /11:05 p.m. EST March 10). The quake hit at 2:46 p.m. local time/Japan. Satellite: Aqua Credit: <span class="hlt">NASA</span>/GSFC/Aqua <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 Join us on Facebook</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA13915.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA13915.html"><span><span class="hlt">NASA</span> ASTER <span class="hlt">Images</span> More Effects of Japan Tsunami</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-03-15</p> <p>This before-and-after <span class="hlt">image</span> pair acquired by <span class="hlt">NASA</span> Terra spacecraft of the Japan coastal cities of Ofunato and Kesennuma reveals changes to the landscape that are likely due to the effects of the tsunami on March 11, 2011. The new <span class="hlt">image</span> is on the left.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20110015130','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20110015130"><span>Custom Sky-<span class="hlt">Image</span> Mosaics from <span class="hlt">NASA</span>'s Information Power Grid</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Jacob, Joseph; Collier, James; Craymer, Loring; Curkendall, David</p> <p>2005-01-01</p> <p>yourSkyG is the second generation of the software described in yourSky: Custom Sky-<span class="hlt">Image</span> Mosaics via the Internet (NPO-30556), <span class="hlt">NASA</span> Tech Briefs, Vol. 27, No. 6 (June 2003), page 45. Like its predecessor, yourSkyG supplies custom astronomical <span class="hlt">image</span> mosaics of sky regions specified by requesters using client computers connected to the Internet. Whereas yourSky constructs mosaics on a local multiprocessor system, yourSkyG performs the computations on <span class="hlt">NASA</span> s Information Power Grid (IPG), which is capable of performing much larger mosaicking tasks. (The IPG is high-performance computation and data grid that integrates geographically distributed 18 <span class="hlt">NASA</span> Tech Briefs, September 2005 computers, databases, and instruments.) A user of yourSkyG can specify parameters describing a mosaic to be constructed. yourSkyG then constructs the mosaic on the IPG and makes it available for downloading by the user. The complexities of determining which input <span class="hlt">images</span> are required to construct a mosaic, retrieving the required input <span class="hlt">images</span> from remote sky-survey archives, uploading the <span class="hlt">images</span> to the computers on the IPG, performing the computations remotely on the Grid, and downloading the resulting mosaic from the Grid are all transparent to the user</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013SGeo...34..731R','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013SGeo...34..731R"><span>Electromagnetic Methods of <span class="hlt">Lightning</span> Detection</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Rakov, V. A.</p> <p>2013-11-01</p> <p>Both cloud-to-ground and cloud <span class="hlt">lightning</span> discharges involve a number of processes that produce electromagnetic field signatures in different regions of the spectrum. Salient characteristics of measured wideband electric and magnetic fields generated by various <span class="hlt">lightning</span> processes at distances ranging from tens to a few hundreds of kilometers (when at least the initial part of the signal is essentially radiation while being not influenced by ionospheric reflections) are reviewed. An overview of the various <span class="hlt">lightning</span> locating techniques, including magnetic direction finding, time-of-arrival technique, and interferometry, is given. <span class="hlt">Lightning</span> location on global scale, when radio-frequency electromagnetic signals are dominated by ionospheric reflections, is also considered. <span class="hlt">Lightning</span> locating system performance characteristics, including flash and stroke detection efficiencies, percentage of misclassified events, location accuracy, and peak current estimation errors, are discussed. Both cloud and cloud-to-ground flashes are considered. Representative examples of modern <span class="hlt">lightning</span> locating systems are reviewed. Besides general characterization of each system, the available information on its performance characteristics is given with emphasis on those based on formal ground-truth studies published in the peer-reviewed literature.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20130012451','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20130012451"><span>Classification of Small Negative <span class="hlt">Lightning</span> Reports at the KSC-ER</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Ward, Jennifer G.; Cummins, Kenneth L.; Krider, Philip</p> <p>2008-01-01</p> <p>The <span class="hlt">NASA</span> Kennedy Space Center (KSC) and Air Force Eastern Range (ER) operate an extensive suite of <span class="hlt">lightning</span> sensors because Florida experiences the highest area density of ground strikes in the United States, with area densities approaching 16 fl/sq km/yr when accumulated in 10x10 km (100 sq km) grids. The KSC-ER use data derived from two cloud-to-ground (CG) <span class="hlt">lightning</span> detection networks, the "Cloud-to-Ground <span class="hlt">Lightning</span> Surveillance System" (CGLSS) and the U.S. National <span class="hlt">Lightning</span> Detection Network (TradeMark) (NLDN) plus a 3-dimensional <span class="hlt">lightning</span> mapping system, the <span class="hlt">Lightning</span> Detection and Ranging (LDAR) system, to provide warnings for ground operations and to insure mission safety during space launches. For operational applications at the KSC-ER it is important to understand the performance of each <span class="hlt">lightning</span> detection system in considerable detail. In this work we examine a specific subset of the CGLSS stroke reports that have low values of the negative inferred peak current, Ip, i.e. values between 0 and -7 kA, and were thought to produce a new ground contact (NGC). When possible, the NLDN and LDAR systems were used to validate the CGLSS classification and to determine how many of these reported strokes were first strokes, subsequent strokes in a pre-existing channel (PEC), or cloud pulses that the CGLSS misclassified as CG strokes. It is scientifically important to determine the smallest current that can reach the ground either in the form of a first stroke or by way of a subsequent stroke that creates a new ground contact. In Biagi et al (2007), 52 low amplitude, negative return strokes ([Ip] < or = 10 kA) were evaluated in southern Arizona, northern Texas, and southern Oklahoma. The authors found that 50-87% of the small NLDN reports could be classified as CG (either first or subsequent strokes) on the basis of video and waveform recordings. Low amplitude return strokes are interesting because they are usually difficult to detect, and they are thought to</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001012.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001012.html"><span><span class="hlt">NASA</span> Captures <span class="hlt">Images</span> of a Late Summer Flare</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-08-25</p> <p>On Aug. 24, 2014, the sun emitted a mid-level solar flare, peaking at 8:16 a.m. EDT. <span class="hlt">NASA</span>'s Solar Dynamics Observatory captured <span class="hlt">images</span> of the flare, which erupted on the left side of the sun. Solar flares are powerful bursts of radiation. Harmful radiation from a flare cannot pass through Earth's atmosphere to physically affect humans on the ground, however -- when intense enough -- they can disturb the atmosphere in the layer where GPS and communications signals travel. To see how this event may affect Earth, please visit NOAA's Space Weather Prediction Center at spaceweather.gov, the U.S. government's official source for space weather forecasts, alerts, watches and warnings. This flare is classified as an M5 flare. M-class flares are ten times less powerful than the most intense flares, called X-class flares. Credit: <span class="hlt">NASA</span>/Goddard/SDO <span class="hlt">NASA</span> <span class="hlt">image</span> 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://images.nasa.gov/#/details-PIA03854.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA03854.html"><span><span class="hlt">NASA</span> <span class="hlt">Images</span> Show Decreased Clarity in Lake Tahoe Water</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2002-08-06</p> <p><span class="hlt">Images</span> from the Advanced Spaceborne Thermal Emission and Reflection Radiometer aboard <span class="hlt">NASA</span>'s Terra satellite, launched in 1999, illustrate the state of gradually decreasing water clarity at Lake Tahoe, one of the clearest lakes in the world. The <span class="hlt">images</span> are available at: http://asterweb.jpl.<span class="hlt">nasa</span>.gov/default.htm. In the <span class="hlt">image</span> on the left, acquired in November 2000, vegetation can be seen in red. The <span class="hlt">image</span> on the right, acquired at the same time by a different spectral band of the instrument, is color-coded to show the bottom of the lake around the shoreline. Where the data are black, the bottom cannot be seen. Scientists monitoring the lake's water clarity from boat measurements obtained since 1965 have discovered that the lake along the California-Nevada border has lost more than one foot of visibility each year, according to the Lake Tahoe Watershed Assessment, a review of scientific information about the lake undertaken at the request of President Clinton and published in February 2000. The most likely causes are increases in algal growth, sediment washed in from surrounding areas and urban growth and development. http://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA03854</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19960020720','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19960020720"><span><span class="hlt">Lightning</span> forecasting studies using LDAR, LLP, field mill, surface mesonet, and Doppler radar data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Forbes, Gregory S.; Hoffert, Steven G.</p> <p>1995-01-01</p> <p>The ultimate goal of this research is to develop rules, algorithms, display software, and training materials that can be used by the operational forecasters who issue weather advisories for daily ground operations and launches by <span class="hlt">NASA</span> and the United States Air Force to improve real-time forecasts of <span class="hlt">lightning</span>. Doppler radar, <span class="hlt">Lightning</span> Detection and Ranging (LDAR), <span class="hlt">Lightning</span> Location and Protection (LLP), field mill (Launch Pad <span class="hlt">Lightning</span> Warning System -- LPLWS), wind tower (surface mesonet) and additional data sets have been utilized in 10 case studies of thunderstorms in the vicinity of KSC during the summers of 1994 and 1995. These case studies reveal many intriguing aspects of cloud-to-ground, cloud-to-cloud, in-cloud, and cloud-to-air <span class="hlt">lightning</span> discharges in relation to radar thunderstorm structure and evolution. They also enable the formulation of some preliminary working rules of potential use in the forecasting of initial and final ground strike threat. In addition, LDAR and LLP data sets from 1993 have been used to quantify the <span class="hlt">lightning</span> threat relative to the center and edges of LDAR discharge patterns. Software has been written to overlay and display the various data sets as color imagery. However, human intervention is required to configure the data sets for proper intercomparison. Future efforts will involve additional software development to automate the data set intercomparisons, to display multiple overlay combinations in a windows format, and to allow for animation of the imagery. The software package will then be used as a tool to examine more fully the current cases and to explore additional cases in a timely manner. This will enable the formulation of more general and reliable forecasting guidelines and rules.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AGUFMGC32C..07C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AGUFMGC32C..07C"><span>The Geostationary <span class="hlt">Lightning</span> Mapper: Its Performance and Calibration</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Christian, H. J., Jr.</p> <p>2015-12-01</p> <p>The Geostationary <span class="hlt">Lightning</span> Mapper (GLM) has been developed to be an operational instrument on the GOES-R series of spacecraft. The GLM is a unique instrument, unlike other meteorological instruments, both in how it operates and in the information content that it provides. Instrumentally, it is an event detector, rather than an <span class="hlt">imager</span>. While processing almost a billion pixels per second with 14 bits of resolution, the event detection process reduces the required telemetry bandwidth by almost 105, thus keeping the telemetry requirements modest and enabling efficient ground processing that leads to rapid data distribution to operational users. The GLM was designed to detect about 90 percent of the total <span class="hlt">lightning</span> flashes within its almost hemispherical field of view. Based on laboratory calibration, we expect the on-orbit detection efficiency to be closer to 85%, making it the highest performing, large area coverage total <span class="hlt">lightning</span> detector. It has a number of unique design features that will enable it have near uniform special resolution over most of its field of view and to operate with minimal impact on performance during solar eclipses. The GLM has no dedicated on-orbit calibration system, thus the ground-based calibration provides the bases for the predicted radiometric performance. A number of problems were encountered during the calibration of Flight Model 1. The issues arouse from GLM design features including its wide field of view, fast lens, the narrow-band interference filters located in both object and collimated space and the fact that the GLM is inherently a event detector yet the calibration procedures required both calibration of <span class="hlt">images</span> and events. The GLM calibration techniques were based on those developed for the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor calibration, but there are enough differences between the sensors that the initial GLM calibration suggested that it is significantly more sensitive than its design parameters. The calibration discrepancies have</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20050092340&hterms=self+expansion+theory&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dself%2Bexpansion%2Btheory','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20050092340&hterms=self+expansion+theory&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D10%26Ntt%3Dself%2Bexpansion%2Btheory"><span>A Preliminary ZEUS <span class="hlt">Lightning</span> Location Error Analysis Using a Modified Retrieval Theory</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Elander, Valjean; Koshak, William; Phanord, Dieudonne</p> <p>2004-01-01</p> <p>The ZEUS long-range VLF arrival time difference <span class="hlt">lightning</span> detection network now covers both Europe and Africa, and there are plans for further expansion into the western hemisphere. In order to fully optimize and assess ZEUS <span class="hlt">lightning</span> location retrieval errors and to determine the best placement of future receivers expected to be added to the network, a software package is being developed jointly between the <span class="hlt">NASA</span> Marshall Space Flight Center (MSFC) and the University of Nevada Las Vegas (UNLV). The software package, called the ZEUS Error Analysis for <span class="hlt">Lightning</span> (ZEAL), will be used to obtain global scale <span class="hlt">lightning</span> location retrieval error maps using both a Monte Carlo approach and chi-squared curvature matrix theory. At the core of ZEAL will be an implementation of an Iterative Oblate (IO) <span class="hlt">lightning</span> location retrieval method recently developed at MSFC. The IO method will be appropriately modified to account for variable wave propagation speed, and the new retrieval results will be compared with the current ZEUS retrieval algorithm to assess potential improvements. In this preliminary ZEAL work effort, we defined 5000 source locations evenly distributed across the Earth. We then used the existing (as well as potential future ZEUS sites) to simulate arrival time data between source and ZEUS site. A total of 100 sources were considered at each of the 5000 locations, and timing errors were selected from a normal distribution having a mean of 0 seconds and a standard deviation of 20 microseconds. This simulated "noisy" dataset was analyzed using the IO algorithm to estimate source locations. The exact locations were compared with the retrieved locations, and the results are summarized via several color-coded "error maps."</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/20764570-bead-lightning-formation','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/20764570-bead-lightning-formation"><span>Bead <span class="hlt">lightning</span> formation</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>Ludwig, G.O.; Saba, M.M.F.; Division of Space Geophysics, National Space Research Institute, 12227-010, Sao Jose dos Campos, SP</p> <p>2005-09-15</p> <p>Formation of beaded structures in triggered <span class="hlt">lightning</span> discharges is considered in the framework of both magnetohydrodynamic (MHD) and hydrodynamic instabilities. It is shown that the space periodicity of the structures can be explained in terms of the kink and sausage type instabilities in a cylindrical discharge with anomalous viscosity. In particular, the fast growth rate of the hydrodynamic Rayleigh-Taylor instability, which is driven by the backflow of air into the channel of the decaying return stroke, dominates the initial evolution of perturbations during the decay of the return current. This instability is responsible for a significant enhancement of the anomalousmore » viscosity above the classical level. Eventually, the damping introduced at the current channel edge by the high level of anomalous viscous stresses defines the final length scale of bead <span class="hlt">lightning</span>. Later, during the continuing current stage of the <span class="hlt">lightning</span> flash, the MHD pinch instability persists, although with a much smaller growth rate that can be enhanced in a M-component event. The combined effect of these instabilities may explain various aspects of bead <span class="hlt">lightning</span>.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/15777170','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/15777170"><span>Modern concepts of treatment and prevention of <span class="hlt">lightning</span> injuries.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Edlich, Richard F; Farinholt, Heidi-Marie A; Winters, Kathryne L; Britt, L D; Long, William B</p> <p>2005-01-01</p> <p><span class="hlt">Lightning</span> is the second most common cause of weather-related death in the United States. <span class="hlt">Lightning</span> is a natural atmospheric discharge that occurs between regions of net positive and net negative electric charges. There are several types of <span class="hlt">lightning</span>, including streak <span class="hlt">lightning</span>, sheet <span class="hlt">lightning</span>, ribbon <span class="hlt">lightning</span>, bead <span class="hlt">lightning</span>, and ball <span class="hlt">lightning</span>. <span class="hlt">Lightning</span> causes injury through five basic mechanisms: direct strike, flash discharge (splash), contact, ground current (step voltage), and blunt trauma. While persons struck by <span class="hlt">lightning</span> show evidence of multisystem derangement, the most dramatic effects involve the cardiovascular and central nervous systems. Cardiopulmonary arrest is the most common cause of death in <span class="hlt">lightning</span> victims. Immediate resuscitation of people struck by <span class="hlt">lightning</span> greatly affects the prognosis. Electrocardiographic changes observed following <span class="hlt">lightning</span> accidents are probably from primary electric injury or burns of the myocardium without coronary artery occlusion. <span class="hlt">Lightning</span> induces vasomotor spasm from direct sympathetic stimulation resulting in severe loss of pulses in the extremities. This vasoconstriction may be associated with transient paralysis. Damage to the central nervous system accounts for the second most debilitating group of injuries. Central nervous system injuries from <span class="hlt">lightning</span> include amnesia and confusion, immediate loss of consciousness, weakness, intracranial injuries, and even brief aphasia. Other organ systems injured by <span class="hlt">lightning</span> include the eye, ear, gastrointestinal system, skin, and musculoskeletal system. The best treatment of <span class="hlt">lightning</span> injuries is prevention. The <span class="hlt">Lightning</span> Safety Guidelines devised by the <span class="hlt">Lightning</span> Safety Group should be instituted in the United States and other nations to prevent these devastating injuries.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://pubs.er.usgs.gov/publication/70039773','USGSPUBS'); return false;" href="https://pubs.er.usgs.gov/publication/70039773"><span>Combining satellite-based fire observations and ground-based <span class="hlt">lightning</span> detections to identify <span class="hlt">lightning</span> fires across the conterminous USA</span></a></p> <p><a target="_blank" href="http://pubs.er.usgs.gov/pubs/index.jsp?view=adv">USGS Publications Warehouse</a></p> <p>Bar-Massada, A.; Hawbaker, T.J.; Stewart, S.I.; Radeloff, V.C.</p> <p>2012-01-01</p> <p><span class="hlt">Lightning</span> fires are a common natural disturbance in North America, and account for the largest proportion of the area burned by wildfires each year. Yet, the spatiotemporal patterns of <span class="hlt">lightning</span> fires in the conterminous US are not well understood due to limitations of existing fire databases. Our goal here was to develop and test an algorithm that combined MODIS fire detections with <span class="hlt">lightning</span> detections from the National <span class="hlt">Lightning</span> Detection Network to identify <span class="hlt">lightning</span> fires across the conterminous US from 2000 to 2008. The algorithm searches for spatiotemporal conjunctions of MODIS fire clusters and NLDN detected <span class="hlt">lightning</span> strikes, given a spatiotemporal lag between <span class="hlt">lightning</span> strike and fire ignition. The algorithm revealed distinctive spatial patterns of <span class="hlt">lightning</span> fires in the conterminous US While a sensitivity analysis revealed that the algorithm is highly sensitive to the two thresholds that are used to determine conjunction, the density of fires it detected was moderately correlated with ground based fire records. When only fires larger than 0.4 km2 were considered, correlations were higher and the root-mean-square error between datasets was less than five fires per 625 km2 for the entire study period. Our algorithm is thus suitable for detecting broad scale spatial patterns of <span class="hlt">lightning</span> fire occurrence, and especially <span class="hlt">lightning</span> fire hotspots, but has limited detection capability of smaller fires because these cannot be consistently detected by MODIS. These results may enhance our understanding of large scale patterns of <span class="hlt">lightning</span> fire activity, and can be used to identify the broad scale factors controlling fire occurrence.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA21940.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA21940.html"><span>Hurricane Harvey Flooding Seen in New <span class="hlt">NASA</span> Satellite <span class="hlt">Image</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-09-05</p> <p>On Sept. 5, 2017, the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on <span class="hlt">NASA</span>'s Terra spacecraft captured this <span class="hlt">image</span> of the area around Bay City, Texas, about 50 miles (80 kilometers) southwest of Houston. Hurricane Harvey caused extensive inland flooding, seen as dark blue areas where the water is relatively clear, and green-grey where the water carries sediment. The <span class="hlt">image</span> covers an area of 32 by 65 miles (52 by 105 kilometers), and is centered at 29.2 degrees north, 95.8 degrees west. https://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA21940</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1710618L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1710618L"><span>Giant elves: <span class="hlt">Lightning</span>-generated electromagnetic pulses in giant planets.</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Luque Estepa, Alejandro; Dubrovin, Daria; José Gordillo-Vázquez, Francisco; Ebert, Ute; Parra-Rojas, Francisco Carlos; Yair, Yoav; Price, Colin</p> <p>2015-04-01</p> <p>We currently have direct optical observations of atmospheric electricity in the two giant gaseous planets of our Solar System [1-5] as well as radio signatures that are possibly generated by <span class="hlt">lightning</span> from the two icy planets Uranus and Neptune [6,7]. On Earth, the electrical activity of the troposphere is associated with secondary electrical phenomena called Transient Luminous Events (TLEs) that occur in the mesosphere and lower ionosphere. This led some researchers to ask if similar processes may also exist in other planets, focusing first on the quasi-static coupling mechanism [8], which on Earth is responsible for halos and sprites and then including also the induction field, which is negligible in our planet but dominant in Saturn [9]. However, one can show that, according to the best available estimation for <span class="hlt">lightning</span> parameters, in giant planets such as Saturn and Jupiter the effect of the electromagnetic pulse (EMP) dominates the effect that a <span class="hlt">lightning</span> discharge has on the lower ionosphere above it. Using a Finite-Differences, Time-Domain (FDTD) solver for the EMP we found [10] that electrically active storms may create a localized but long-lasting layer of enhanced ionization of up to 103 cm-3 free electrons below the ionosphere, thus extending the ionosphere downward. We also estimate that the electromagnetic pulse transports 107 J to 1010 J toward the ionosphere. There emissions of light of up to 108 J would create a transient luminous event analogous to a terrestrial elve. Although these emissions are about 10 times fainter than the emissions coming from the <span class="hlt">lightning</span> itself, it may be possible to target them for detection by filtering the appropiate wavelengths. [1] Cook, A. F., II, T. C. Duxbury, and G. E. Hunt (1979), First results on Jovian <span class="hlt">lightning</span>, Nature, 280, 794, doi:10.1038/280794a0. [2] Little, B., C. D. Anger, A. P. Ingersoll, A. R. Vasavada, D. A. Senske, H. H. Breneman, W. J. Borucki, and The Galileo SSI Team (1999), Galileo <span class="hlt">images</span> of</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/48025','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/48025"><span><span class="hlt">Lightning</span> fires in southwestern forests</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>Jack S. Barrows</p> <p>1978-01-01</p> <p><span class="hlt">Lightning</span> is the leading cause of fires in southwestern forests. On all protected private, state and federal lands in Arizona and New Mexico, nearly 80 percent of the forest, brush and range fires are ignited by <span class="hlt">lightning</span>. The Southwestern region leads all other regions of the United States both in total number of <span class="hlt">lightning</span> fires and in the area burned by these fires...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.4812S','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.4812S"><span><span class="hlt">Lightning</span> climatology in the Congo Basin: detailed analysis</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Soula, Serge; Kigotsi, Jean; Georgis, Jean-François; Barthe, Christelle</p> <p>2016-04-01</p> <p>The <span class="hlt">lightning</span> climatology of the Congo Basin including several countries of Central Africa is analyzed in detail for the first time. It is based on World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) data for the period from 2005 to 2013. A comparison of these data with the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) data for the same period shows the WWLLN detection efficiency (DE) in the region increases from about 1.70 % in the beginning of the period to 5.90 % in 2013, relative to LIS data, but not uniformly over the whole 2750 km × 2750 km area. Both the annual flash density and the number of stormy days show sharp maximum values localized in eastern of Democratic Republic of Congo (DRC) and west of Kivu Lake, regardless of the reference year and the period of the year. These maxima reach 12.86 fl km-2 and 189 days, respectively, in 2013, and correspond with a very active region located at the rear of the Virunga mountain range characterised with summits that can reach 3000 m. The presence of this range plays a role in the thunderstorm development along the year. The estimation of this local maximum of the <span class="hlt">lightning</span> density by taking into account the DE, leads to a value consistent with that of the global climatology by Christian et al. (2003) and other authors. Thus, a mean maximum value of about 157 fl km-2 y-1 is found for the annual <span class="hlt">lightning</span> density. The zonal distribution of the <span class="hlt">lightning</span> flashes exhibits a maximum between 1°S and 2°S and about 56 % of the flashes located below the equator in the 10°S - 10°N interval. The diurnal evolution of the flash rate has a maximum between 1400 and 1700 UTC, according to the reference year, in agreement with previous works in other regions of the world.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19800013446&hterms=emp&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Demp','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19800013446&hterms=emp&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D40%26Ntt%3Demp"><span>Electromagnetic sensors for general <span class="hlt">lightning</span> application</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Baum, C. E.; Breen, E. L.; Onell, J. P.; Moore, C. B.; Sower, G. D.</p> <p>1980-01-01</p> <p>Electromagnetic sensors for general <span class="hlt">lightning</span> applications in measuring environment are discussed as well as system response to the environment. This includes electric and magnetic fields, surface current and charge densities, and currents on conductors. Many EMP sensors are directly applicable to <span class="hlt">lightning</span> measurements, but there are some special cases of <span class="hlt">lightning</span> measurements involving direct strikes which require special design considerations for the sensors. The sensors and instrumentation used by NMIMT in collecting data on <span class="hlt">lightning</span> at South Baldy peak in central New Mexico during the 1978 and 1979 <span class="hlt">lightning</span> seasons are also discussed. The Langmuir Laboratory facilities and details of the underground shielded instrumentation room and recording equipment are presented.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20160006716&hterms=air+quality&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dair%2Bquality','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20160006716&hterms=air+quality&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D20%26Ntt%3Dair%2Bquality"><span><span class="hlt">Lightning</span> NOx and Impacts on Air Quality</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Murray, Lee T.</p> <p>2016-01-01</p> <p><span class="hlt">Lightning</span> generates relatively large but uncertain quantities of nitrogen oxides, critical precursors for ozone and hydroxyl radical (OH), the primary tropospheric oxidants. <span class="hlt">Lightning</span> nitrogen oxide strongly influences background ozone and OH due to high ozone production efficiencies in the free troposphere, effecting small but non-negligible contributions to surface pollutant concentrations. <span class="hlt">Lightning</span> globally contributes 3-4 ppbv of simulated annual-mean policy-relevant background (PRB) surface ozone, comprised of local, regional, and hemispheric components, and up to 18 ppbv during individual events. Feedbacks via methane may counter some of these effects on decadal time scales. <span class="hlt">Lightning</span> contributes approximately 1 percent to annual-mean surface particulate matter, as a direct precursor and by promoting faster oxidation of other precursors. <span class="hlt">Lightning</span> also ignites wildfires and contributes to nitrogen deposition. Urban pollution influences <span class="hlt">lightning</span> itself, with implications for regional <span class="hlt">lightning</span>-nitrogen oxide production and feedbacks on downwind surface pollution. How <span class="hlt">lightning</span> emissions will change in a warming world remains uncertain.</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://adsabs.harvard.edu/abs/2011AGUFMAE33B0300C','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMAE33B0300C"><span>Some of the ball <span class="hlt">lightning</span> observations could be phosphenes induced by energetic radiation from thunderstorms and <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Cooray, G. K.; Cooray, G. V.; Dwyer, J. R.</p> <p>2011-12-01</p> <p> phosphenes. The study shows that: (i) X-rays and relativistic electrons generated by the <span class="hlt">lightning</span> leaders are strong enough to induce phosphenes in a person located indoors during a direct <span class="hlt">lightning</span> strike to a building. (ii) Strong gamma ray busts at ground level produced by thunderstorms could release sufficient energy in the eye to induce phosphenes. (iii) If an air plane encounters the source of an ongoing gamma ray burst in a cloud, the energetic electrons penetrating the airplane during the encounter is strong enough to induce phosphenes in the passengers. It is suggested that some of the ball <span class="hlt">lightning</span> observations are phosphenes induced by energetic radiation from thunderstorms and <span class="hlt">lightning</span>. [1] Lipetz, L. E. (1955), The X-ray and radium phosphenes, British Journal of Ophthalmology, 39, pp. 577-598. [2] Fuglesang, C. (2007), Using the human eye to <span class="hlt">image</span> space radiation or the history and status of the light flash phenomena, Nuclear Instruments and Physics Research A, vol. 580, pp. 861 - 865.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160006893','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160006893"><span><span class="hlt">Lightning</span> Protection and Structural Bonding for the B2 Test Stand</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Kinard, Brandon</p> <p>2015-01-01</p> <p>With the privatization of the space industry, <span class="hlt">NASA</span> has entered a new era. To explore deeper parts of the solar system, <span class="hlt">NASA</span> is developing a new spacecraft, the Space Launch System (SLS), capable of reaching these destinations, such as an asteroid or Mars. However, the test stand that is capable of testing the stage has been unused for many years. In addition to the updating/repair of the stand, more steel is being added to fully support the SLS. With all these modifications, the <span class="hlt">lightning</span> protection system must be brought up to code to assure the protection of all personnel and assets. Structural bonding is a part of the <span class="hlt">lightning</span> protection system. The focus of this project was to assure proper structural bonding. To begin, all relevant technical standards and the construction specifications were reviewed. This included both the specifications for the <span class="hlt">lightning</span> protection and for general construction. The drawings were reviewed as well. From the drawings, bolted structural joints were reviewed to determine whether bonding was necessary. Several bolted joints were determined to need bonding according to the notes in the drawings. This exceeds the industry standards. The bolted joints are an electrically continuous joint. During tests, the stand experiences heavy vibration that may weaken the continuity of the bolted joint. Therefore, the secondary bonding is implemented to ensure that the structural joint has low resistance. If the structural joint has a high resistance because of corrosion, a potential gradient can occur that can cause a side flash. Damage, injury, or death can occur from a side flash so they are to be prevented. A list of the identified structural joints was compiled and sent to the contractor to be bonded. That covers the scope of this project.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2013SGeo...34..755P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2013SGeo...34..755P"><span><span class="hlt">Lightning</span> Applications in Weather and Climate Research</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Price, Colin G.</p> <p>2013-11-01</p> <p>Thunderstorms, and <span class="hlt">lightning</span> in particular, are a major natural hazard to the public, aviation, power companies, and wildfire managers. <span class="hlt">Lightning</span> causes great damage and death every year but also tells us about the inner working of storms. Since <span class="hlt">lightning</span> can be monitored from great distances from the storms themselves, <span class="hlt">lightning</span> may allow us to provide early warnings for severe weather phenomena such as hail storms, flash floods, tornadoes, and even hurricanes. <span class="hlt">Lightning</span> itself may impact the climate of the Earth by producing nitrogen oxides (NOx), a precursor of tropospheric ozone, which is a powerful greenhouse gas. Thunderstorms themselves influence the climate system by the redistribution of heat, moisture, and momentum in the atmosphere. What about future changes in <span class="hlt">lightning</span> and thunderstorm activity? Many studies show that higher surface temperatures produce more <span class="hlt">lightning</span>, but future changes will depend on what happens to the vertical temperature profile in the troposphere, as well as changes in water balance, and even aerosol loading of the atmosphere. Finally, <span class="hlt">lightning</span> itself may provide a useful tool for tracking climate change in the future, due to the nonlinear link between <span class="hlt">lightning</span>, temperature, upper tropospheric water vapor, and cloud cover.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2010-title14-vol1/pdf/CFR-2010-title14-vol1-sec25-581.pdf','CFR'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2010-title14-vol1/pdf/CFR-2010-title14-vol1-sec25-581.pdf"><span>14 CFR 25.581 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2010&page.go=Go">Code of Federal Regulations, 2010 CFR</a></p> <p></p> <p>2010-01-01</p> <p>... 14 Aeronautics and Space 1 2010-01-01 2010-01-01 false <span class="hlt">Lightning</span> protection. 25.581 Section 25.581 Aeronautics and Space FEDERAL AVIATION ADMINISTRATION, DEPARTMENT OF TRANSPORTATION AIRCRAFT AIRWORTHINESS STANDARDS: TRANSPORT CATEGORY AIRPLANES Structure <span class="hlt">Lightning</span> Protection § 25.581 <span class="hlt">Lightning</span> protection. (a...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRD..12212296W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRD..12212296W"><span>Improving <span class="hlt">Lightning</span> and Precipitation Prediction of Severe Convection Using <span class="hlt">Lightning</span> Data Assimilation With NCAR WRF-RTFDDA</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Wang, Haoliang; Liu, Yubao; Cheng, William Y. Y.; Zhao, Tianliang; Xu, Mei; Liu, Yuewei; Shen, Si; Calhoun, Kristin M.; Fierro, Alexandre O.</p> <p>2017-11-01</p> <p>In this study, a <span class="hlt">lightning</span> data assimilation (LDA) scheme was developed and implemented in the National Center for Atmospheric Research Weather Research and Forecasting-Real-Time Four-Dimensional Data Assimilation system. In this LDA method, graupel mixing ratio (qg) is retrieved from observed total <span class="hlt">lightning</span>. To retrieve qg on model grid boxes, column-integrated graupel mass is first calculated using an observation-based linear formula between graupel mass and total <span class="hlt">lightning</span> rate. Then the graupel mass is distributed vertically according to the empirical qg vertical profiles constructed from model simulations. Finally, a horizontal spread method is utilized to consider the existence of graupel in the adjacent regions of the <span class="hlt">lightning</span> initiation locations. Based on the retrieved qg fields, latent heat is adjusted to account for the latent heat releases associated with the formation of the retrieved graupel and to promote convection at the observed <span class="hlt">lightning</span> locations, which is conceptually similar to the method developed by Fierro et al. Three severe convection cases were studied to evaluate the LDA scheme for short-term (0-6 h) <span class="hlt">lightning</span> and precipitation forecasts. The simulation results demonstrated that the LDA was effective in improving the short-term <span class="hlt">lightning</span> and precipitation forecasts by improving the model simulation of the qg fields, updrafts, cold pool, and front locations. The improvements were most notable in the first 2 h, indicating a highly desired benefit of the LDA in <span class="hlt">lightning</span> and convective precipitation nowcasting (0-2 h) applications.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://cfpub.epa.gov/si/si_public_record_report.cfm?direntryid=335478','PESTICIDES'); return false;" href="https://cfpub.epa.gov/si/si_public_record_report.cfm?direntryid=335478"><span>On the Relationship between Observed NLDN <span class="hlt">Lightning</span> ...</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">Lightning</span>-produced nitrogen oxides (NOX=NO+NO2) in the middle and upper troposphere play an essential role in the production of ozone (O3) and influence the oxidizing capacity of the troposphere. Despite much effort in both observing and modeling <span class="hlt">lightning</span> NOX during the past decade, considerable uncertainties still exist with the quantification of <span class="hlt">lightning</span> NOX production and distribution in the troposphere. It is even more challenging for regional chemistry and transport models to accurately parameterize <span class="hlt">lightning</span> NOX production and distribution in time and space. The Community Multiscale Air Quality Model (CMAQ) parameterizes the <span class="hlt">lightning</span> NO emissions using local scaling factors adjusted by the convective precipitation rate that is predicted by the upstream meteorological model; the adjustment is based on the observed <span class="hlt">lightning</span> strikes from the National <span class="hlt">Lightning</span> Detection Network (NLDN). For this parameterization to be valid, the existence of an a priori reasonable relationship between the observed <span class="hlt">lightning</span> strikes and the modeled convective precipitation rates is needed. In this study, we will present an analysis leveraged on the observed NLDN <span class="hlt">lightning</span> strikes and CMAQ model simulations over the continental United States for a time period spanning over a decade. Based on the analysis, new parameterization scheme for <span class="hlt">lightning</span> NOX will be proposed and the results will be evaluated. The proposed scheme will be beneficial to modeling exercises where the obs</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA17978.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA17978.html"><span>Angry Indonesian Volcano <span class="hlt">Imaged</span> by <span class="hlt">NASA</span> Spacecraft</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2014-02-11</p> <p>This <span class="hlt">image</span> acquired by <span class="hlt">NASA</span> Terra spacecraft is of Mount Sinabung, a stratovolcano located in Indonesia. In late 2013, a lava dome formed on the summit. In early January 2014, the volcano erupted, and it erupted again in early February.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140007288','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140007288"><span>Colorado <span class="hlt">Lightning</span> Mapping Array Collaborations through the GOES-R Visiting Scientist Program</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stano, Geoffrey T.; Szoke, Edward; Rydell, Nezette; Cox, Robert; Mazur, Rebecca</p> <p>2014-01-01</p> <p>For the past two years, the GOES-R Proving Ground has solicited proposals for its Visiting Scientist Program. <span class="hlt">NASA</span>'s Short-term Prediction Research and Transition (SPoRT) Center has used this opportunity to support the GOES-R Proving Ground by expanding SPoRT's total <span class="hlt">lightning</span> collaborations. In 2012, this expanded the evaluation of SPoRT's pseudo-geostationary <span class="hlt">lightning</span> mapper product to the Aviation Weather Center and Storm Prediction Center. This year, SPoRT has collaborated with the Colorado <span class="hlt">Lightning</span> Mapping Array (COLMA) and potential end users. In particular, SPoRT is collaborating with the Cooperative Institute for Research in the Atmosphere (CIRA) and Colorado State University (CSU) to obtain these data in real-time. From there, SPoRT is supporting the transition of these data to the local forecast offices in Boulder, Colorado and Cheyenne, Wyoming as well as to Proving Ground projects (e.g., the Hazardous Weather Testbed's Spring Program and Aviation Weather Center's Summer Experiment). This presentation will focus on the results of this particular Visiting Scientist Program trip. In particular, the COLMA data are being provided to both forecast offices for initial familiarization. Additionally, several forecast issues have been highlighted as important uses for COLMA data in the operational environment. These include the utility of these data for fire weather situations, situational awareness for both severe weather and <span class="hlt">lightning</span> safety, and formal evaluations to take place in the spring of 2014.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMAE23A..01L','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMAE23A..01L"><span>Toward a Time-Domain Fractal <span class="hlt">Lightning</span> Simulation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Liang, C.; Carlson, B. E.; Lehtinen, N. G.; Cohen, M.; Lauben, D.; Inan, U. S.</p> <p>2010-12-01</p> <p>Electromagnetic simulations of <span class="hlt">lightning</span> are useful for prediction of <span class="hlt">lightning</span> properties and exploration of the underlying physical behavior. Fractal <span class="hlt">lightning</span> models predict the spatial structure of the discharge, but thus far do not provide much information about discharge behavior in time and therefore cannot predict electromagnetic wave emissions or current characteristics. Here we develop a time-domain fractal <span class="hlt">lightning</span> simulation from Maxwell's equations, the method of moments with the thin wire approximation, an adaptive time-stepping scheme, and a simplified electrical model of the <span class="hlt">lightning</span> channel. The model predicts current pulse structure and electromagnetic wave emissions and can be used to simulate the entire duration of a <span class="hlt">lightning</span> discharge. The model can be used to explore the electrical characteristics of the <span class="hlt">lightning</span> channel, the temporal development of the discharge, and the effects of these characteristics on observable electromagnetic wave emissions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19850067258&hterms=ATLA&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DATLA','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19850067258&hterms=ATLA&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D30%26Ntt%3DATLA"><span><span class="hlt">Lightning</span> on Venus</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Scarf, F. L.</p> <p>1985-01-01</p> <p>On the night side of Venus, the plasma wave instrument on the Pioneer-Venus Orbiter frequently detects strong and impulsive low-frequency noise bursts when the local magnetic field is strong and steady and when the field is oriented to point down to the ionosphere. The signals have characteristics of <span class="hlt">lightning</span> whistlers, and an attempt was made to identify the sources by tracing rays along the B-field from the Orbiter down toward the surface. An extensive data set strongly indicates a clustering of <span class="hlt">lightning</span> sources near the Beta and Phoebe Regios, with additional significant clustering near the Atla Regio at the eastern edge of Aphrodite Terra. These results suggest that there are localized <span class="hlt">lightning</span> sources at or near the planetary surface.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA15290.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA15290.html"><span>Tenth Anniversary <span class="hlt">Image</span> from Camera on <span class="hlt">NASA</span> Mars Orbiter</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2012-02-29</p> <p><span class="hlt">NASA</span> Mars Odyssey spacecraft captured this <span class="hlt">image</span> on Feb. 19, 2012, 10 years to the day after the camera recorded its first view of Mars. This <span class="hlt">image</span> covers an area in the Nepenthes Mensae region north of the Martian equator.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140008786','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140008786"><span>Total <span class="hlt">Lightning</span> as an Indicator of Mesocyclone Behavior</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Stough, Sarah M.; Carey, Lawrence D.; Schultz, Christopher J.</p> <p>2014-01-01</p> <p>Apparent relationship between total <span class="hlt">lightning</span> (in-cloud and cloud to ground) and severe weather suggests its operational utility. Goal of fusion of total <span class="hlt">lightning</span> with proven tools (i.e., radar <span class="hlt">lightning</span> algorithms. Preliminary work here investigates circulation from Weather Suveilance Radar- 1988 Doppler (WSR-88D) coupled with total <span class="hlt">lightning</span> data from <span class="hlt">Lightning</span> Mapping Arrays.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/9614008','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/9614008"><span><span class="hlt">Lightning</span>-associated deaths--United States, 1980-1995.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p></p> <p>1998-05-22</p> <p>A <span class="hlt">lightning</span> strike can cause death or various injuries to one or several persons. The mechanism of injury is unique, and the manifestations differ from those of other electrical injuries. In the United States, <span class="hlt">lightning</span> causes more deaths than do most other natural hazards (e.g., hurricanes and tornadoes), although the incidence of <span class="hlt">lightning</span>-related deaths has decreased since the 1950s. The cases described in this report illustrate diverse circumstances in which deaths attributable to <span class="hlt">lightning</span> can occur. This report also summarizes data from the Compressed Mortality File of CDC's National Center for Health Statistics on <span class="hlt">lightning</span> fatalities in the United States from 1980 through 1995, when 1318 deaths were attributed to <span class="hlt">lightning</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/25478304','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/25478304"><span>Tropic <span class="hlt">lightning</span>: myth or menace?</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>McCarthy, John</p> <p>2014-11-01</p> <p><span class="hlt">Lightning</span> is one of the leading causes of death related to environmental disaster. Of all <span class="hlt">lightning</span> fatalities documented between 2006 and 2012, leisure activities contributed the largest proportion of deaths, with water-associated, sports, and camping being the most common. Despite the prevalence of these activities throughout the islands, Hawai'i has had zero documented <span class="hlt">lightning</span> fatalities since weather data tracking was initiated in 1959. There is a common misconception that <span class="hlt">lightning</span> does not strike the ground in Hawai'i. This myth may contribute to a potentially dangerous false sense of security, and recognition of warning signs and risk factor modification remain the most important prevention strategies. <span class="hlt">Lightning</span> damage occurs on a spectrum, from minor burns to multi-organ dysfunction. After injury, initial treatment should focus on "reverse triage" and immediate cardiopulmonary resuscitation when indicated, followed by transfer to a healthcare facility. Definitive treatment entails monitoring and management of potential sequelae, to include cardiovascular, neurologic, dermatologic, ophthalmologic, audiovestibular, and psychiatric complications.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1982fugv.rept.....D','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1982fugv.rept.....D"><span><span class="hlt">Lightning</span> protection of distribution systems</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Darveniza, M.; Uman, M. A.</p> <p>1982-09-01</p> <p>Research work on the <span class="hlt">lightning</span> protection of distribution systems is described. The rationale behind the planning of the first major phase of the work - the field experiments conducted in the Tampa Bay area during August 1978 and July to September 1979 is explained. The aims of the field work were to characterize <span class="hlt">lightning</span> in the Tampa Bay area, and to identify the <span class="hlt">lightning</span> parameters associated with the occurrence of line outages and equipment damage on the distribution systems of the participating utilities. The equipment developed for these studies is fully described. The field work provided: general data on <span class="hlt">lightning</span> - e.g., electric and magnetic fields of cloud and ground flashes; data from automated monitoring of <span class="hlt">lightning</span> activity; stroke current waveshapes and peak currents measured at distribution arresters; and line outage and equipment damage on 13 kV networks in the Tampa Bay area. Computer aided analyses were required to collate and to process the accumulated data. The computer programs developed for this work are described.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4244891','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4244891"><span>Tropic <span class="hlt">Lightning</span>: Myth or Menace?</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p></p> <p>2014-01-01</p> <p><span class="hlt">Lightning</span> is one of the leading causes of death related to environmental disaster. Of all <span class="hlt">lightning</span> fatalities documented between 2006 and 2012, leisure activities contributed the largest proportion of deaths, with water-associated, sports, and camping being the most common. Despite the prevalence of these activities throughout the islands, Hawai‘i has had zero documented <span class="hlt">lightning</span> fatalities since weather data tracking was initiated in 1959. There is a common misconception that <span class="hlt">lightning</span> does not strike the ground in Hawai‘i. This myth may contribute to a potentially dangerous false sense of security, and recognition of warning signs and risk factor modification remain the most important prevention strategies. <span class="hlt">Lightning</span> damage occurs on a spectrum, from minor burns to multi-organ dysfunction. After injury, initial treatment should focus on “reverse triage” and immediate cardiopulmonary resuscitation when indicated, followed by transfer to a healthcare facility. Definitive treatment entails monitoring and management of potential sequelae, to include cardiovascular, neurologic, dermatologic, ophthalmologic, audiovestibular, and psychiatric complications. PMID:25478304</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/19704405','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/19704405"><span>Fatal <span class="hlt">lightning</span> strikes in Malaysia.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Murty, O P; Kian, Chong Kah; Ari Husin, Mohammed Husrul; Nanta Kumar, Ranjeev Kumar; Mohammed Yusuf, Wan Yuhana W</p> <p>2009-09-01</p> <p><span class="hlt">Lightning</span> strike is a natural phenomenon with potentially devastating effects and represents one of the important causes of deaths from environmental phenomena. Almost every organ system may be affected as <span class="hlt">lightning</span> current passes through the human body taking the shortest pathways between the contact points. A 10 years retrospective study (1996-2005) was conducted at University Hospital Kuala Lumpur (20 cases) also including cases during last 3 years from Hospital Tengku Ampuan Rahimah, Klang (7 cases) from the autopsy reports at Forensic Pathology Units of these 2 hospitals. Both these hospitals are attached to University of Malaya. There were 27 fatal cases of <span class="hlt">lightning</span> strike with male preponderance(92.59%) and male to female ratio of 12.5:1. Majority of victims of <span class="hlt">lightning</span> strike were from the age group between 30 and 39 years old. Most of the victims were foreign workers. Indonesians workers contributed to 59.26% of overall cases. Majority of them were construction workers who attributed i.e.11 of 27 cases (40.74%). Most of the victims were brought in dead (37.04%). In majority of the cases the <span class="hlt">lightning</span> incidence occurred in the evenings, with the frequency of 15 of 27 cases (62.5%). The month of December represented with the highest number of cases (5 cases of 23 cases); 2004 had the highest incidence of <span class="hlt">lightning</span> strike which was 5 (19.23%). <span class="hlt">Lightning</span> strike incidence occurred when victims had taken shelter (25.9%) under trees or shades. <span class="hlt">Lightning</span> strike in open areas occurred in 10 of 27 cases (37.0%). Head and neck were the most commonly affected sites with the incidence of 77.78% and 74% respectively in all the victims. Only 29.63% of the cases presented with ear bleeding.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017JGRA..122.7734G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017JGRA..122.7734G"><span>On the timing between terrestrial gamma ray flashes, radio atmospherics, and optical <span class="hlt">lightning</span> emission</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gjesteland, Thomas; Østgaard, Nikolai; Bitzer, Phillip; Christian, Hugh J.</p> <p>2017-07-01</p> <p>On 25 October 2012 the Reuven Ramaty High Energy Solar Spectroscope <span class="hlt">Imager</span> (RHESSI) and the Tropical Rainfall Measuring Mission (TRMM) satellites passed over a thunderstorm on the coast of Sri Lanka. RHESSI observed a terrestrial gamma ray flash (TGF) originating from this thunderstorm. Optical measurements of the causative <span class="hlt">lightning</span> stroke were made by the <span class="hlt">lightning</span> <span class="hlt">imaging</span> sensor (LIS) on board TRMM. The World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) detected the very low frequency (VLF) radio emissions from the <span class="hlt">lightning</span> stroke. The geolocation from WWLLN, which we also assume is the TGF source location, was in the convective core of the cloud. By using new information about both RHESSI and LIS timing accuracy, we find that the peak in the TGF light curve occurs 230 μs before the WWLLN time. Analysis of the optical signal from LIS shows that within the uncertainties, we cannot conclude which comes first: the gamma emission or the optical emission. We have also applied the new information about the LIS timing on a previously published event by Østgaard et al. (2012). Also for this event we are not able to conclude which signal comes first. More accurate instruments are needed in order to get the exact timing between the TGF and the optical signal.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19940018765','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19940018765"><span><span class="hlt">Lightning</span> studies using LDAR and LLP data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Forbes, Gregory S.</p> <p>1993-01-01</p> <p>This study intercompared <span class="hlt">lightning</span> data from LDAR and LLP systems in order to learn more about the spatial relationships between thunderstorm electrical discharges aloft and <span class="hlt">lightning</span> strikes to the surface. The ultimate goal of the study is to provide information that can be used to improve the process of real-time detection and warning of <span class="hlt">lightning</span> by weather forecasters who issue <span class="hlt">lightning</span> advisories. The <span class="hlt">Lightning</span> Detection and Ranging (LDAR) System provides data on electrical discharges from thunderstorms that includes cloud-ground flashes as well as <span class="hlt">lightning</span> aloft (within cloud, cloud-to-cloud, and sometimes emanating from cloud to clear air outside or above cloud). The <span class="hlt">Lightning</span> Location and Protection (LLP) system detects primarily ground strikes from <span class="hlt">lightning</span>. Thunderstorms typically produce LDAR signals aloft prior to the first ground strike, so that knowledge of preferred positions of ground strikes relative to the LDAR data pattern from a thunderstorm could allow advance estimates of enhanced ground strike threat. Studies described in the report examine the position of LLP-detected ground strikes relative to the LDAR data pattern from the thunderstorms. The report also describes other potential approaches to the use of LDAR data in the detection and forecasting of <span class="hlt">lightning</span> ground strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27328835','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27328835"><span>Relativistic-microwave theory of ball <span class="hlt">lightning</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Wu, H-C</p> <p>2016-06-22</p> <p>Ball <span class="hlt">lightning</span>, a fireball sometimes observed during <span class="hlt">lightnings</span>, has remained unexplained. Here we present a comprehensive theory for the phenomenon: At the tip of a <span class="hlt">lightning</span> stroke reaching the ground, a relativistic electron bunch can be produced, which in turn excites intense microwave radiation. The latter ionizes the local air and the radiation pressure evacuates the resulting plasma, forming a spherical plasma bubble that stably traps the radiation. This mechanism is verified by particle simulations. The many known properties of ball <span class="hlt">lightning</span>, such as the occurrence site, relation to the <span class="hlt">lightning</span> channels, appearance in aircraft, its shape, size, sound, spark, spectrum, motion, as well as the resulting injuries and damages, are also explained. Our theory suggests that ball lighting can be created in the laboratory or triggered during thunderstorms. Our results should be useful for <span class="hlt">lightning</span> protection and aviation safety, as well as stimulate research interest in the relativistic regime of microwave physics.</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('http://adsabs.harvard.edu/abs/2016NatSR...628263W','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016NatSR...628263W"><span>Relativistic-microwave theory of ball <span class="hlt">lightning</span></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.-C.</p> <p>2016-06-01</p> <p>Ball <span class="hlt">lightning</span>, a fireball sometimes observed during <span class="hlt">lightnings</span>, has remained unexplained. Here we present a comprehensive theory for the phenomenon: At the tip of a <span class="hlt">lightning</span> stroke reaching the ground, a relativistic electron bunch can be produced, which in turn excites intense microwave radiation. The latter ionizes the local air and the radiation pressure evacuates the resulting plasma, forming a spherical plasma bubble that stably traps the radiation. This mechanism is verified by particle simulations. The many known properties of ball <span class="hlt">lightning</span>, such as the occurrence site, relation to the <span class="hlt">lightning</span> channels, appearance in aircraft, its shape, size, sound, spark, spectrum, motion, as well as the resulting injuries and damages, are also explained. Our theory suggests that ball lighting can be created in the laboratory or triggered during thunderstorms. Our results should be useful for <span class="hlt">lightning</span> protection and aviation safety, as well as stimulate research interest in the relativistic regime of microwave physics.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4916449','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4916449"><span>Relativistic-microwave theory of ball <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Wu, H.-C.</p> <p>2016-01-01</p> <p>Ball <span class="hlt">lightning</span>, a fireball sometimes observed during <span class="hlt">lightnings</span>, has remained unexplained. Here we present a comprehensive theory for the phenomenon: At the tip of a <span class="hlt">lightning</span> stroke reaching the ground, a relativistic electron bunch can be produced, which in turn excites intense microwave radiation. The latter ionizes the local air and the radiation pressure evacuates the resulting plasma, forming a spherical plasma bubble that stably traps the radiation. This mechanism is verified by particle simulations. The many known properties of ball <span class="hlt">lightning</span>, such as the occurrence site, relation to the <span class="hlt">lightning</span> channels, appearance in aircraft, its shape, size, sound, spark, spectrum, motion, as well as the resulting injuries and damages, are also explained. Our theory suggests that ball lighting can be created in the laboratory or triggered during thunderstorms. Our results should be useful for <span class="hlt">lightning</span> protection and aviation safety, as well as stimulate research interest in the relativistic regime of microwave physics. PMID:27328835</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=20040082387&hterms=statistics&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dstatistics','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=20040082387&hterms=statistics&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D60%26Ntt%3Dstatistics"><span><span class="hlt">Lightning</span> Optical Pulse Statistics from Storm Overflights During the Altus Cumulus Electrification Study</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mach, D. M.; Blakeslee, R. J.; Bailey, J. C.; Farrell, W. M.; Goldberg, R. A.; Desch, M. D.; Houser, J. G.</p> <p>2004-01-01</p> <p>The Altus Cumulus Electrification Study (ACES) was conducted during the month of August, 2002 in an area near Key West, Florida. One of the goals of this uninhabited aerial vehicle (UAV) study was to collect time resolved optical pulse data from thunderstorms. During the month long campaign, we acquired 5294 <span class="hlt">lightning</span> generated optical pulses. Most of these observations were made while close to the top of the storms. We divided our data into two amplitude groups based on prior <span class="hlt">NASA</span> U2 aircraft optical data and our pulse characteristics. The group of large pulses with radiance greater than 2.1 mW /sq m sr had mean and median 10 - 10% optical pulse widths of 765 and 735 microns respectively, the 50-50% pulse widths of 396 and 355 microns respectively, and 10-90% rise times of 290 and 260 microns. These values are very similar to the previous U2 based optical results The other group of pulses consisting of slightly more than a quarter of the total pulses observed had radiances less than the minimum values detected in the U2 study. The small pulses were narrower than the large pulses with 5040% mean and median values of 198 and 160 ps respectively. Only 12 % of the flashes contained only small pulses, minimizing the impact of this data on the estimates of detection efficiencies of the orbital instruments, the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor and Optical Transient Detector.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19990102425','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19990102425"><span><span class="hlt">NASA</span>/NOAA: Earth Science Electronic Theater 1999. Earth Science Observations, Analysis and Visualization: Roots in the 60s - Vision for the Next Millennium</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Hasler, A. Fritz</p> <p>1999-01-01</p> <p>The Etheater presents visualizations which span the period from the original Suomi/Hasler animations of the first ATS-1 GEO weather satellite <span class="hlt">images</span> in 1966, to the latest 1999 <span class="hlt">NASA</span> Earth Science Vision for the next 25 years. Hot off the SGI-Onyx Graphics-Supercomputer are <span class="hlt">NASA''s</span> visualizations of Hurricanes Mitch, Georges, Fran and Linda. These storms have been recently featured on the covers of National Geographic, Time, Newsweek and Popular Science. Highlights will be shown from the <span class="hlt">NASA</span> hurricane visualization resource video tape that has been used repeatedly this season on National and International network TV. Results will be presented from a new paper on automatic wind measurements in Hurricane Luis from 1-min GOES <span class="hlt">images</span> that appeared in the November BAMS. The visualizations are produced by the <span class="hlt">NASA</span> Goddard Visualization & Analysis Laboratory, and Scientific Visualization Studio, as well as other Goddard and <span class="hlt">NASA</span> groups using <span class="hlt">NASA</span>, NOAA, ESA, and NASDA Earth science datasets. Visualizations will be shown from the Earth Science ETheater 1999 recently presented in Tokyo, Paris, Munich, Sydney, Melbourne, Honolulu, Washington, New York, and Dallas. The presentation Jan 11-14 at the AMS meeting in Dallas used a 4-CPU SGI/CRAY Onyx Infinite Reality Super Graphics Workstation with 8 GB RAM and a Terabyte Disk at 3840 X 1024 resolution with triple synchronized BarcoReality 9200 projectors on a 60ft wide screen. Visualizations will also be featured from the new Earth Today Exhibit which was opened by Vice President Gore on July 2, 1998 at the Smithsonian Air & Space Museum in Washington, as well as those presented for possible use at the American Museum of Natural History (NYC), Disney EPCOT, and other venues. New methods are demonstrated for visualizing, interpreting, comparing, organizing and analyzing immense Hyper<span class="hlt">Image</span> remote sensing datasets and three dimensional numerical model results. We call the data from many new Earth sensing satellites, Hyper<span class="hlt">Image</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001871.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001871.html"><span><span class="hlt">NASA</span>'s <span class="hlt">IMAGE</span> Spacecraft View of Aurora Australis from Space</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> file <span class="hlt">image</span> acquired September 11, 2005 To view a video of this event go here: www.flickr.com/photos/gsfc/6257608714 From space, the aurora is a crown of light that circles each of Earth’s poles. The <span class="hlt">IMAGE</span> satellite captured this view of the aurora australis (southern lights) on September 11, 2005, four days after a record-setting solar flare sent plasma—an ionized gas of protons and electrons—flying towards the Earth. The ring of light that the solar storm generated over Antarctica glows green in the ultraviolet part of the spectrum, shown in this <span class="hlt">image</span>. The <span class="hlt">IMAGE</span> observations of the aurora are overlaid onto NASA’s satellite-based Blue Marble <span class="hlt">image</span>. From the Earth’s surface, the ring would appear as a curtain of light shimmering across the night sky. Like all solar storms, the September storm distorted the shape of the magnetic field that surrounds the Earth. Without buffeting from the solar wind (charged particles like protons and electrons that are ejected from the Sun), the Earth’s magnetic field would look something like a plump doughnut, with the North and South poles forming the slender hole in the center. In reality, the nearly constant solar winds flatten the space side of the “doughnut” into a long tail. The amount of distortion changes when solar storms, such as the flare on September 7, send stronger winds towards the Earth. Changes to the magnetic field release fast-moving particles, which flow with charged particles from the Sun towards the center of the “doughnut” at the Earth’s poles. As the particles sink into the atmosphere, they collide with oxygen and nitrogen, lighting the sky with Nature’s version of neon lights, the aurora. Though scientists knew that the aurora were caused by charged particles from the Sun and their interaction with the Earth’s magnetic field, they had no way to measure the interaction until <span class="hlt">NASA</span> launched the <span class="hlt">Imager</span> for Magnetopause-to-Aurora Global Exploration (<span class="hlt">IMAGE</span>) satellite in 2000. The</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AMT....10..221B','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AMT....10..221B"><span>Observing relationships between <span class="hlt">lightning</span> and cloud profiles by means of a satellite-borne cloud radar</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Buiat, Martina; Porcù, Federico; Dietrich, Stefano</p> <p>2017-01-01</p> <p>Cloud electrification and related <span class="hlt">lightning</span> activity in thunderstorms have their origin in the charge separation and resulting distribution of charged iced particles within the cloud. So far, the ice distribution within convective clouds has been investigated mainly by means of ground-based meteorological radars. In this paper we show how the products from Cloud Profiling Radar (CPR) on board CloudSat, a polar satellite of <span class="hlt">NASA</span>'s Earth System Science Pathfinder (ESSP), can be used to obtain information from space on the vertical distribution of ice particles and ice content and relate them to the <span class="hlt">lightning</span> activity. The analysis has been carried out, focusing on 12 convective events over Italy that crossed CloudSat overpasses during significant <span class="hlt">lightning</span> activity. The CPR products considered here are the vertical profiles of cloud ice water content (IWC) and the effective radius (ER) of ice particles, which are compared with the number of strokes as measured by a ground <span class="hlt">lightning</span> network (LINET). Results show a strong correlation between the number of strokes and the vertical distribution of ice particles as depicted by the 94 GHz CPR products: in particular, cloud upper and middle levels, high IWC content and relatively high ER seem to be favourable contributory causes for CG (cloud to ground) stroke occurrence.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2011-title14-vol4/pdf/CFR-2011-title14-vol4-sec420-71.pdf','CFR2011'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2011-title14-vol4/pdf/CFR-2011-title14-vol4-sec420-71.pdf"><span>14 CFR 420.71 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2011&page.go=Go">Code of Federal Regulations, 2011 CFR</a></p> <p></p> <p>2011-01-01</p> <p>... path connecting an air terminal to an earth electrode system. (iii) Earth electrode system. An earth... to the initiation of explosives by <span class="hlt">lightning</span>. (1) Elements of a lighting protection system. Unless an... facilities shall have a <span class="hlt">lightning</span> protection system to ensure explosives are not initiated by <span class="hlt">lightning</span>. A...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2012-title14-vol4/pdf/CFR-2012-title14-vol4-sec420-71.pdf','CFR2012'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2012-title14-vol4/pdf/CFR-2012-title14-vol4-sec420-71.pdf"><span>14 CFR 420.71 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2012&page.go=Go">Code of Federal Regulations, 2012 CFR</a></p> <p></p> <p>2012-01-01</p> <p>... path connecting an air terminal to an earth electrode system. (iii) Earth electrode system. An earth... to the initiation of explosives by <span class="hlt">lightning</span>. (1) Elements of a lighting protection system. Unless an... facilities shall have a <span class="hlt">lightning</span> protection system to ensure explosives are not initiated by <span class="hlt">lightning</span>. A...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2014-title14-vol4/pdf/CFR-2014-title14-vol4-sec420-71.pdf','CFR2014'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2014-title14-vol4/pdf/CFR-2014-title14-vol4-sec420-71.pdf"><span>14 CFR 420.71 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2014&page.go=Go">Code of Federal Regulations, 2014 CFR</a></p> <p></p> <p>2014-01-01</p> <p>... path connecting an air terminal to an earth electrode system. (iii) Earth electrode system. An earth... to the initiation of explosives by <span class="hlt">lightning</span>. (1) Elements of a lighting protection system. Unless an... facilities shall have a <span class="hlt">lightning</span> protection system to ensure explosives are not initiated by <span class="hlt">lightning</span>. A...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.gpo.gov/fdsys/pkg/CFR-2013-title14-vol4/pdf/CFR-2013-title14-vol4-sec420-71.pdf','CFR2013'); return false;" href="https://www.gpo.gov/fdsys/pkg/CFR-2013-title14-vol4/pdf/CFR-2013-title14-vol4-sec420-71.pdf"><span>14 CFR 420.71 - <span class="hlt">Lightning</span> protection.</span></a></p> <p><a target="_blank" href="http://www.gpo.gov/fdsys/browse/collectionCfr.action?selectedYearFrom=2013&page.go=Go">Code of Federal Regulations, 2013 CFR</a></p> <p></p> <p>2013-01-01</p> <p>... path connecting an air terminal to an earth electrode system. (iii) Earth electrode system. An earth... to the initiation of explosives by <span class="hlt">lightning</span>. (1) Elements of a lighting protection system. Unless an... facilities shall have a <span class="hlt">lightning</span> protection system to ensure explosives are not initiated by <span class="hlt">lightning</span>. A...</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/18395987','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/18395987"><span><span class="hlt">Lightning</span> injury: a review.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Ritenour, Amber E; Morton, Melinda J; McManus, John G; Barillo, David J; Cancio, Leopoldo C</p> <p>2008-08-01</p> <p><span class="hlt">Lightning</span> is an uncommon but potentially devastating cause of injury in patients presenting to burn centers. These injuries feature unusual symptoms, high mortality, and significant long-term morbidity. This paper will review the epidemiology, physics, clinical presentation, management principles, and prevention of <span class="hlt">lightning</span> injuries.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/22104330','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/22104330"><span>Secondary missile injury from <span class="hlt">lightning</span> strike.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Blumenthal, Ryan</p> <p>2012-03-01</p> <p>A 48-year-old-woman was struck dead by <span class="hlt">lightning</span> on October 24, 2010, in Pretoria, South Africa. The cause of death was due to direct <span class="hlt">lightning</span> strike. Examination showed secondary missile injury on her legs. This secondary missile (shrapnel) injury was caused by the <span class="hlt">lightning</span> striking the concrete pavement next to her. Small pieces of concrete were located embedded within the shrapnel wounds. This case report represents the first documented case of secondary missile formation (shrapnel injury) due to <span class="hlt">lightning</span> strike in the literature.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/22486500-note-lightning-temperature','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/22486500-note-lightning-temperature"><span>Note on <span class="hlt">lightning</span> temperature</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>Alanakyan, Yu. R., E-mail: yralanak@mail.ru</p> <p>2015-10-15</p> <p>In this paper, some features of the dynamics of a <span class="hlt">lightning</span> channel that emerges after the leader-streamer process, are theoretically studied. It is shown that the dynamic pinch effect in the channel becomes possible if a discharge current before the main (quasi-steady) stage of a <span class="hlt">lightning</span> discharge increases rapidly. The ensuing magnetic compression of the channel increases plasma temperature to several million degrees leading to a soft x-ray flash within the highly ionized plasma. The relation between the plasma temperature and the channel radius during the main stage of a <span class="hlt">lightning</span> discharge is derived.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/17520964','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/17520964"><span>Filigree burn of <span class="hlt">lightning</span>: two case reports.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Kumar, Virendra</p> <p>2007-04-01</p> <p><span class="hlt">Lightning</span> is a powerful natural electrostatic discharge produced during a thunderstorm. The electric current passing through the discharge channels is direct with a potential of 1000 million volts or more. <span class="hlt">Lightning</span> can kill or injure a person by a direct strike, a side-flash, or conduction through another object. <span class="hlt">Lightning</span> can cause a variety of injuries in the skin and the cardiovascular, neurological and ophthalmic systems. Filigree burn of <span class="hlt">lightning</span> is a superficial burn and very rare. Two cases of death from <span class="hlt">lightning</span> which have this rare finding are reported and discussed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-2009-3126.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-2009-3126.html"><span>KSC-2009-3126</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2009-05-11</p> <p>CAPE CANAVERAL, Fla. – This photo shows one of two <span class="hlt">lightning</span> strikes that occurred on May 11 around 11 p.m. within a third of a mile of space shuttle Endeavour on Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center in Florida. Engineers and safety personnel evaluated data and performed a walkdown of the pad and determined there is no damage to the vehicle or the pad. The <span class="hlt">images</span> are from Kennedy's Operational Television cameras which can be used to triangulate the location of <span class="hlt">lightning</span> strikes. Other detection systems include the Cloud-To-Ground <span class="hlt">Lightning</span> Surveillance System, Strikenet/National <span class="hlt">Lightning</span> Detection Network, <span class="hlt">Lightning</span> Induced Voltage Instrumentation System and the Catenary Wire <span class="hlt">Lightning</span> Instrumentation System. Endeavour is standing by on the pad, prepared for liftoff in the unlikely event that a rescue mission is necessary during space shuttle Atlantis' STS-125 mission to service <span class="hlt">NASA</span>'s Hubble Space Telescope. Photo credit: <span class="hlt">NASA</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-KSC-2009-3125.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-KSC-2009-3125.html"><span>KSC-2009-3125</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2009-05-11</p> <p>CAPE CANAVERAL, Fla. – This photo shows one of two <span class="hlt">lightning</span> strikes that occurred on May 11 around 11 p.m. within a third of a mile of space shuttle Endeavour on Launch Pad 39B at <span class="hlt">NASA</span>'s Kennedy Space Center in Florida. Engineers and safety personnel evaluated data and performed a walkdown of the pad and determined there is no damage to the vehicle or the pad. The <span class="hlt">images</span> are from Kennedy's Operational Television cameras which can be used to triangulate the location of <span class="hlt">lightning</span> strikes. Other detection systems include the Cloud-To-Ground <span class="hlt">Lightning</span> Surveillance System, Strikenet/National <span class="hlt">Lightning</span> Detection Network, <span class="hlt">Lightning</span> Induced Voltage Instrumentation System and the Catenary Wire <span class="hlt">Lightning</span> Instrumentation System. Endeavour is standing by on the pad, prepared for liftoff in the unlikely event that a rescue mission is necessary during space shuttle Atlantis' STS-125 mission to service <span class="hlt">NASA</span>'s Hubble Space Telescope. Photo credit: <span class="hlt">NASA</span></p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017AGUFMAE33A2514Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017AGUFMAE33A2514Z"><span>Ground- and Space-based Observations of Horizontally-extensive <span class="hlt">Lightning</span> Flashes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zhang, D.; Cummins, K. L.; Bitzer, P. M.</p> <p>2017-12-01</p> <p> similar systems and the (orbital) <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> System (LIS) has shown that the interferometric data correlated much better in space and time with the LIS optical observations. We are currently investigating this relationship at KSC, where both the LMA and interferometer perform much better than the systems used during CHUVA.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20120003532','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20120003532"><span>Using Cloud-to-Ground <span class="hlt">Lightning</span> Climatologies to Initialize Gridded <span class="hlt">Lightning</span> Threat Forecasts for East Central Florida</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Lambert, Winnie; Sharp, David; Spratt, Scott; Volkmer, Matthew</p> <p>2005-01-01</p> <p>Each morning, the forecasters at the National Weather Service in Melbourn, FL (NWS MLB) produce an experimental cloud-to-ground (CG) <span class="hlt">lightning</span> threat index map for their county warning area (CWA) that is posted to their web site (http://www.srh.weather.gov/mlb/ghwo/<span class="hlt">lightning</span>.shtml) . Given the hazardous nature of <span class="hlt">lightning</span> in central Florida, especially during the warm season months of May-September, these maps help users factor the threat of <span class="hlt">lightning</span>, relative to their location, into their daily plans. The maps are color-coded in five levels from Very Low to Extreme, with threat level definitions based on the probability of <span class="hlt">lightning</span> occurrence and the expected amount of CG activity. On a day in which thunderstorms are expected, there are typically two or more threat levels depicted spatially across the CWA. The locations of relative <span class="hlt">lightning</span> threat maxima and minima often depend on the position and orientation of the low-level ridge axis, forecast propagation and interaction of sea/lake/outflow boundaries, expected evolution of moisture and stability fields, and other factors that can influence the spatial distribution of thunderstorms over the CWA. The <span class="hlt">lightning</span> threat index maps are issued for the 24-hour period beginning at 1200 UTC (0700 AM EST) each day with a grid resolution of 5 km x 5 km. Product preparation is performed on the AWIPS Graphical Forecast Editor (GFE), which is the standard NWS platform for graphical editing. Currently, the forecasters create each map manually, starting with a blank map. To improve efficiency of the forecast process, NWS MLB requested that the Applied Meteorology Unit (AMU) create gridded warm season <span class="hlt">lightning</span> climatologies that could be used as first-guess inputs to initialize <span class="hlt">lightning</span> threat index maps. The gridded values requested included CG strike densities and frequency of occurrence stratified by synoptic-scale flow regime. The intent is to increase consistency between forecasters while enabling them to focus on</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20140008795','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20140008795"><span>Global Patterns of <span class="hlt">Lightning</span> Properties Derived by OTD and LIS</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Beirle, Steffen; Koshak, W.; Blakeslee, R.; Wagner, T.</p> <p>2014-01-01</p> <p>The satellite instruments Optical Transient Detector (OTD) and <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) provide unique empirical data about the frequency of <span class="hlt">lightning</span> flashes around the globe (OTD), and the tropics (LIS), which 5 has been used before to compile a well received global climatology of flash rate densities. Here we present a statistical analysis of various additional <span class="hlt">lightning</span> properties derived from OTD/LIS, i.e. the number of so-called "events" and "groups" per flash, as well as 10 the mean flash duration, footprint and radiance. These normalized quantities, which can be associated with the flash "strength", show consistent spatial patterns; most strikingly, oceanic flashes show higher values than continental flashes for all properties. Over land, regions with high (Eastern US) 15 and low (India) flash strength can be clearly identified. We discuss possible causes and implications of the observed regional differences. Although a direct quantitative interpretation of the investigated flash properties is difficult, the observed spatial patterns provide valuable information for the 20 interpretation and application of climatological flash rates. Due to the systematic regional variations of physical flash characteristics, viewing conditions, and/or measurement sensitivities, parametrisations of <span class="hlt">lightning</span> NOx based on total flash rate densities alone are probably affected by regional biases.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA14515.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA14515.html"><span><span class="hlt">NASA</span> <span class="hlt">Image</span> Shows a Slightly Stronger Emily</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-08-02</p> <p><span class="hlt">NASA</span> Aqua spacecraft continues to track the gradual organization of Tropical Storm Emily, as seen in this <span class="hlt">image</span> taken Aug. 2, 2011 at 1:05 p.m. EDT. At that time, the storm was located about 270 miles southeast of San Juan, Puerto Rico.</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('https://images.nasa.gov/#/details-PIA16741.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA16741.html"><span><span class="hlt">NASA</span> Terra Spacecraft <span class="hlt">Images</span> Russian Volcanic Eruption</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2013-01-16</p> <p>Plosky Tolbachik volcano in Russia far eastern Kamchatka peninsula erupted on Nov. 27, 2012, for the first time in 35 years, sending clouds of ash to the height of more than 9,800 feet 3,000 meters in this <span class="hlt">image</span> from <span class="hlt">NASA</span> Terra spacecraft.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018EP%26S...70...88T','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018EP%26S...70...88T"><span>Initiation of a <span class="hlt">lightning</span> search using the <span class="hlt">lightning</span> and airglow camera onboard the Venus orbiter Akatsuki</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Takahashi, Yukihiro; Sato, Mitsuteru; Imai, Masataka; Lorenz, Ralph; Yair, Yoav; Aplin, Karen; Fischer, Georg; Nakamura, Masato; Ishii, Nobuaki; Abe, Takumi; Satoh, Takehiko; Imamura, Takeshi; Hirose, Chikako; Suzuki, Makoto; Hashimoto, George L.; Hirata, Naru; Yamazaki, Atsushi; Sato, Takao M.; Yamada, Manabu; Murakami, Shin-ya; Yamamoto, Yukio; Fukuhara, Tetsuya; Ogohara, Kazunori; Ando, Hiroki; Sugiyama, Ko-ichiro; Kashimura, Hiroki; Ohtsuki, Shoko</p> <p>2018-05-01</p> <p>The existence of <span class="hlt">lightning</span> discharges in the Venus atmosphere has been controversial for more than 30 years, with many positive and negative reports published. The <span class="hlt">lightning</span> and airglow camera (LAC) onboard the Venus orbiter, Akatsuki, was designed to observe the light curve of possible flashes at a sufficiently high sampling rate to discriminate <span class="hlt">lightning</span> from other sources and can thereby perform a more definitive search for optical emissions. Akatsuki arrived at Venus during December 2016, 5 years following its launch. The initial operations of LAC through November 2016 have included a progressive increase in the high voltage applied to the avalanche photodiode detector. LAC began <span class="hlt">lightning</span> survey observations in December 2016. It was confirmed that the operational high voltage was achieved and that the triggering system functions correctly. LAC <span class="hlt">lightning</span> search observations are planned to continue for several years.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2017SPIE10567E..1IT','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2017SPIE10567E..1IT"><span>Design and performance of the <span class="hlt">lightning</span> <span class="hlt">imager</span> for the Meteosat third generation</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Tommasi, Leonardo; Basile, Giuseppe; Romoli, Andrea; Stagi, Moreno</p> <p>2017-11-01</p> <p>In the frame of the MTG Pre-Phase A study, feasibility of an instrument to fulfill the goals of the <span class="hlt">Lightning</span> Imagery Mission has been investigated. Architecture is based on a set of four optical heads, each dedicated to observation of a fraction of the Earth disk and including a telescope, a narrow band filter, a detector and its proximity electronics. In particular, detector is characterized by a novel pixel architecture that provides autonomous <span class="hlt">lightning</span> identification and readout of the flash data with a very high rate, reducing throughput at a minimum. This allows the instrument to fulfill mission objectives in terms of spatial and temporal resolution, with the lowest mass and power allocation. Details on instrument concept, design and budgets, as well as performance evaluation for different operative scenarios (day/night) are provided.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20100040471','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20100040471"><span>Triggered-<span class="hlt">Lightning</span> Interaction with a <span class="hlt">Lightning</span> Protective System: Current Distribution and Electromagnetic Environment</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mata, C. T.; Rakov, V. A.; Mata, A. G.</p> <p>2010-01-01</p> <p>A new comprehensive <span class="hlt">lightning</span> instrumentation system has been designed for Launch Complex 39B (LC3913) at the Kennedy Space Center, Florida. This new instrumentation system includes the synchronized recording of six high-speed video cameras; currents through the nine downconductors of the new <span class="hlt">lightning</span> protection system for LC3913; four dH/dt, 3-axis measurement stations; and five dE/dt stations composed of two antennas each. A 20:1 scaled down model of the new <span class="hlt">Lightning</span> Protection System (LPS) of LC39B was built at the International Center for <span class="hlt">Lightning</span> Research and Testing, Camp Blanding, FL. This scaled down <span class="hlt">lightning</span> protection system was instrumented with the transient recorders, digitizers, and sensors to be used in the final instrumentation installation at LC3913. The instrumentation used at the ICLRT is also a scaled-down instrumentation of the LC39B instrumentation. The scaled-down LPS was subjected to seven direct <span class="hlt">lightning</span> strikes and six (four triggered and two natural nearby flashes) in 2010. The following measurements were acquired at the ICLRT: currents through the nine downconductors; two dl-/dt, 3-axis stations, one at the center of the LPS (underneath the catenary wires), and another 40 meters south from the center of the LPS; ten dE/dt stations, nine of them on the perimeter of the LPS and one at the center of the LPS (underneath the catenary wire system); and the incident current. Data from representative events are presented and analyzed in this paper.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2018NatCC...8..210F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2018NatCC...8..210F"><span>A projected decrease in <span class="hlt">lightning</span> under 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>Finney, Declan L.; Doherty, Ruth M.; Wild, Oliver; Stevenson, David S.; MacKenzie, Ian A.; Blyth, Alan M.</p> <p>2018-03-01</p> <p><span class="hlt">Lightning</span> strongly influences atmospheric chemistry1-3, and impacts the frequency of natural wildfires4. Most previous studies project an increase in global <span class="hlt">lightning</span> with climate change over the coming century1,5-7, but these typically use parameterizations of <span class="hlt">lightning</span> that neglect cloud ice fluxes, a component generally considered to be fundamental to thunderstorm charging8. As such, the response of <span class="hlt">lightning</span> to climate change is uncertain. Here, we compare <span class="hlt">lightning</span> projections for 2100 using two parameterizations: the widely used cloud-top height (CTH) approach9, and a new upward cloud ice flux (IFLUX) approach10 that overcomes previous limitations. In contrast to the previously reported global increase in <span class="hlt">lightning</span> based on CTH, we find a 15% decrease in total <span class="hlt">lightning</span> flash rate with IFLUX in 2100 under a strong global warming scenario. Differences are largest in the tropics, where most <span class="hlt">lightning</span> occurs, with implications for the estimation of future changes in tropospheric ozone and methane, as well as differences in their radiative forcings. These results suggest that <span class="hlt">lightning</span> schemes more closely related to cloud ice and microphysical processes are needed to robustly estimate future changes in <span class="hlt">lightning</span> and atmospheric composition.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19950011759','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19950011759"><span><span class="hlt">Lightning</span> studies using LDAR and companion data sets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Forbes, Gregory S.</p> <p>1994-01-01</p> <p>Research was conducted to use the KSC <span class="hlt">Lightning</span> Detection and Ranging (LDAR) system, together with companion data, in four subprojects: weather forecasting and advisory applications of LDAR, LDAR in relation to field mill readings, <span class="hlt">lightning</span> flash and stroke detection using LDAR, and LDAR in relation to radar reflectivity patterns and KSC wind profiler vertical velocities. The research is aimed at developing rules, algorithms, and training materials that can be used by the operational weather forecasters who issue weather advisories for daily ground operations and launches by <span class="hlt">NASA</span> and the United States Air Force. During the summer of 1993, LDAR data was examined on an hourly basis from 14 thunderstorm days and compared to ground strike data measured by the <span class="hlt">Lightning</span> Location and Protection (LLP) system. These data were re-examined during 1994 to identify, number, and track LDAR-detected storms continually throughout the day and avoid certain interpretation problems arising from the use of hourly files. An areal storm growth factor was incorporated into a scheme to use current mappings of LDAR-defined thunderstorms to predict future ground strikes. During the summer of 1994, extensive sets of LDAR and companion data have been collected for 16 thunderstorm days, including a variety of meteorological situations. Detailed case studies are being conducted to relate the occurence of LDAR to the radar structure and evolution of thunderstorms. Field mill (LPWS) data are being examined to evaluate the complementary nature of LDAR and LPLWS data in determining the time of beginning and ending of the ground strike threat at critical sites. A computerized <span class="hlt">lightning</span> flash and stroke discrimination algorithm has been written that can be used to help locate the points of origin of the electrical discharges, help distinguish in-cloud, cloud-ground, and upward flashes, and perhaps determine when the threat of ground strikes has ceased. Surface wind tower (mesonet), radar, sounding</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA22121.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA22121.html"><span>Indonesia's Active Mount Agung Volcano <span class="hlt">Imaged</span> by <span class="hlt">NASA</span> Spacecraft</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-12-10</p> <p>After a new small eruption sent an ash cloud 1.24 miles (2 kilometers) into the sky on Dec. 7, 2017, Indonesia's Mount Agung volcano quieted down. This <span class="hlt">image</span> was acquired Dec. 8 after the latest activity by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on <span class="hlt">NASA</span>'s Terra satellite. The <span class="hlt">image</span> shows vegetation in red colors. The summit crater has a hot spot (yellow) as detected by ASTER's thermal infrared channels. More than 65,00 residents continue to be evacuated from the volcano's danger zone in case of a major eruption. The <span class="hlt">image</span> covers an area of 11 by 12.3 miles (17.8 by 19.8 kilometers), and is located at 8.3 degrees south, 115.5 degrees east. https://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA22121</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/18814638','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/18814638"><span>Beyond the basics: <span class="hlt">lightning</span>-strike injuries.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Mistovich, Joseph J; Krost, William S; Limmer, Daniel D</p> <p>2008-03-01</p> <p>It is estimated that a <span class="hlt">lightning</span> flash occurs approximately 8 million times per day throughout the world. Most strikes are benign and cause little damage to property and physical structures; however, when <span class="hlt">lightning</span> strikes a person or group of people, it is a significant medical and potentially traumatic event that could lead to immediate death or permanent disability. By understanding some basic physics of <span class="hlt">lightning</span> and pathophysiology of injuries associated with <span class="hlt">lightning</span> strikes, EMS providers will be better prepared to identify assessment findings, anticipate complications and provide effective emergency care.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/1994JGR....9910679G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/1994JGR....9910679G"><span>Laboratory-produced ball <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Golka, Robert K., Jr.</p> <p>1994-05-01</p> <p>For 25 years I have actively been searching for the true nature of ball <span class="hlt">lightning</span> and attempting to reproduce it at will in the laboratory. As one might expect, many unidentified lights in the atmosphere have been called ball <span class="hlt">lightning</span>, including Texas Maffa lights (automobile headlights), flying saucers (UFOs), swamp gas in Ann Arbor, Michigan, etc. For 15 years I thought ball <span class="hlt">lightning</span> was strictly a high-voltage phenomenon. It was not until 1984 when I was short-circuiting the electrical output of a diesel electric railroad locomotive that I realized that the phenomenon was related more to a high current. Although I am hoping for some other types of ball <span class="hlt">lightning</span> to emerge such as strictly electrostatic-electromagnetic manifestations, I have been unlucky in finding laboratory provable evidence. Cavity-formed plasmodes can be made by putting a 2-inch burning candle in a home kitchen microwave oven. The plasmodes float around for as long as the microwave energy is present.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19980237715','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19980237715"><span><span class="hlt">Lightning</span> Radio Source Retrieval Using Advanced <span class="hlt">Lightning</span> Direction Finder (ALDF) Networks</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Koshak, William J.; Blakeslee, Richard J.; Bailey, J. C.</p> <p>1998-01-01</p> <p>A linear algebraic solution is provided for the problem of retrieving the location and time of occurrence of <span class="hlt">lightning</span> ground strikes from an Advanced <span class="hlt">Lightning</span> Direction Finder (ALDF) network. The ALDF network measures field strength, magnetic bearing and arrival time of <span class="hlt">lightning</span> radio emissions. Solutions for the plane (i.e., no Earth curvature) are provided that implement all of tile measurements mentioned above. Tests of the retrieval method are provided using computer-simulated data sets. We also introduce a quadratic planar solution that is useful when only three arrival time measurements are available. The algebra of the quadratic root results are examined in detail to clarify what portions of the analysis region lead to fundamental ambiguities in source location. Complex root results are shown to be associated with the presence of measurement errors when the <span class="hlt">lightning</span> source lies near an outer sensor baseline of the ALDF network. In the absence of measurement errors, quadratic root degeneracy (no source location ambiguity) is shown to exist exactly on the outer sensor baselines for arbitrary non-collinear network geometries. The accuracy of the quadratic planar method is tested with computer generated data sets. The results are generally better than those obtained from the three station linear planar method when bearing errors are about 2 deg. We also note some of the advantages and disadvantages of these methods over the nonlinear method of chi(sup 2) minimization employed by the National <span class="hlt">Lightning</span> Detection Network (NLDN) and discussed in Cummins et al.(1993, 1995, 1998).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014AGUFMAE24A..03Z','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014AGUFMAE24A..03Z"><span>Analysis and Modeling of Intense Oceanic <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Zoghzoghy, F. G.; Cohen, M.; Said, R.; Lehtinen, N. G.; Inan, U.</p> <p>2014-12-01</p> <p>Recent studies using <span class="hlt">lightning</span> data from geo-location networks such as GLD360 suggest that <span class="hlt">lightning</span> strokes are more intense over the ocean than over land, even though they are less common [Said et al. 2013]. We present an investigation of the physical differences between oceanic and land <span class="hlt">lightning</span>. We have deployed a sensitive Low Frequency (1 MHz sampling rate) radio receiver system aboard the NOAA Ronald W. Brown research vessel and have collected thousands of <span class="hlt">lightning</span> waveforms close to deep oceanic <span class="hlt">lightning</span>. We analyze the captured waveforms, describe our modeling efforts, and summarize our findings. We model the ground wave (gw) portion of the <span class="hlt">lightning</span> sferics using a numerical method built on top of the Stanford Full Wave Method (FWM) [Lehtinen and Inan 2008]. The gwFWM technique accounts for propagation over a curved Earth with finite conductivity, and is used to simulate an arbitrary current profile along the <span class="hlt">lightning</span> channel. We conduct a sensitivity analysis and study the current profiles for land and for oceanic <span class="hlt">lightning</span>. We find that the effect of ground conductivity is minimal, and that stronger oceanic radio intensity does not result from shorter current rise-time or from faster return stroke propagation speed.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016EGUGA..18.6487I','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016EGUGA..18.6487I"><span>Nowcasting of <span class="hlt">Lightning</span>-Related Accidents in Africa</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Ihrlich, Laura; Price, Colin</p> <p>2016-04-01</p> <p>Tropical Africa is the world capital of thunderstorm activity with the highest density of strikes per square kilometer per year. As a result it is also the continent with perhaps the highest casualties and injuries from direct <span class="hlt">lightning</span> strikes. This region of the globe also has little <span class="hlt">lightning</span> protection of rural homes and schools, while many casualties occur during outdoor activities (e.g. farming, fishing, sports, etc.) In this study we investigated two <span class="hlt">lightning</span>-caused accidents that got wide press coverage: A <span class="hlt">lightning</span> strike to a Cheetah Center in Namibia which caused a huge fire and great destruction (16 October 2013), and a plane crash in Mali where 116 people died (24 July 2014). Using data from the World Wide <span class="hlt">Lightning</span> Location Network (WWLLN) we show that the <span class="hlt">lightning</span> data alone can provide important early warning information that can be used to reduce risks and damages and loss of life from <span class="hlt">lightning</span> strikes. We have developed a now-casting scheme that allows for early warnings across Africa with a relatively low false alarm rate. To verify the accuracy of our now-cast, we have performed some statistical analysis showing relatively high skill at providing early warnings (lead time of a few hours) based on <span class="hlt">lightning</span> alone. Furthermore, our analysis can be used in forensic meteorology for determining if such accidents are caused by <span class="hlt">lightning</span> strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2012EGUGA..14.6604N','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..14.6604N"><span>Spatio-temporal activity of <span class="hlt">lightnings</span> over Greece</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Nastos, P. T.; Matsangouras, I. T.; Chronis, T. G.</p> <p>2012-04-01</p> <p>Extreme precipitation events are always associated with convective weather conditions driving to intense <span class="hlt">lightning</span> activity: Cloud to Ground (CG), Ground to Cloud (GC) and Cloud to Cloud (CC). Thus, the study of <span class="hlt">lightnings</span>, which typically occur during thunderstorms, gives evidence of the spatio-temporal variability of intense precipitation. <span class="hlt">Lightning</span> is a natural phenomenon in the atmosphere, being a major cause of storm related with deaths and main trigger of forest fires during dry season. <span class="hlt">Lightning</span> affects the many electrochemical systems of the body causing nerve damage, memory loss, personality change, and emotional problems. Besides, among the various nitrogen oxides sources, the contribution from <span class="hlt">lightning</span> likely represents the largest uncertainty. An operational <span class="hlt">lightning</span> detection network (LDN) has been established since 2007 by HNMS, consisting of eight time-of-arrival sensors (TOA), spatially distributed across Greek territory. In this study, the spatial and temporal variability of recorded <span class="hlt">lightnings</span> (CG, GC and CC) are analyzed over Greece, during the period from January 14, 2008 to December 31, 2009, for the first time. The data for retrieving the location and time-of-occurrence of <span class="hlt">lightning</span> were acquired from Hellenic National Meteorological Service (HNMS). In addition to the analysis of spatio-temporal activity over Greece, the HNMS-LDN characteristics are also presented. The results of the performed analysis reveal the specific geographical sub-regions associated with <span class="hlt">lightnings</span> incidence. <span class="hlt">Lightning</span> activity occurs mainly during the autumn season, followed by summer and spring. Higher frequencies of flashes appear over Ionian and Aegean Sea than over land during winter period against continental mountainous regions during summer period.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2010AGUFMAE33A0266A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2010AGUFMAE33A0266A"><span>Acoustic Manifestations of Natural versus Triggered <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Arechiga, R. O.; Johnson, J. B.; Edens, H. E.; Rison, W.; Thomas, R. J.; Eack, K.; Eastvedt, E. M.; Aulich, G. D.; Trueblood, J.</p> <p>2010-12-01</p> <p>Positive leaders are rarely detected by VHF <span class="hlt">lightning</span> detection systems; positive leader channels are usually outlined only by recoil events. Positive cloud-to-ground (CG) channels are usually not mapped. The goal of this work is to study the types of thunder produced by natural versus triggered <span class="hlt">lightning</span> and to assess which types of thunder signals have electromagnetic activity detected by the <span class="hlt">lightning</span> mapping array (LMA). Towards this end we are investigating the <span class="hlt">lightning</span> detection capabilities of acoustic techniques, and comparing them with the LMA. In a previous study we used array beam forming and time of flight information to locate acoustic sources associated with <span class="hlt">lightning</span>. Even though there was some mismatch, generally LMA and acoustic techniques saw the same phenomena. To increase the database of acoustic data from <span class="hlt">lightning</span>, we deployed a network of three infrasound arrays (30 m aperture) during the summer of 2010 (August 3 to present) in the Magdalena mountains of New Mexico, to monitor infrasound (below 20 Hz) and audio range sources due to natural and triggered <span class="hlt">lightning</span>. The arrays were located at a range of distances (60 to 1400 m) surrounding the triggering site, called the Kiva, used by Langmuir Laboratory to launch rockets. We have continuous acoustic measurements of <span class="hlt">lightning</span> data from July 20 to September 18 of 2009, and from August 3 to September 1 of 2010. So far, <span class="hlt">lightning</span> activity around the Kiva was higher during the summer of 2009. We will present acoustic data from several interesting <span class="hlt">lightning</span> flashes including a comparison between a natural and a triggered one.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.fs.usda.gov/treesearch/pubs/48980','TREESEARCH'); return false;" href="https://www.fs.usda.gov/treesearch/pubs/48980"><span><span class="hlt">Lightning</span> fire research in the Rocky Mountains</span></a></p> <p><a target="_blank" href="http://www.fs.usda.gov/treesearch/">Treesearch</a></p> <p>J. S. Barrows</p> <p>1954-01-01</p> <p><span class="hlt">Lightning</span> is the major cause of fires in Rocky Mountain forests. The <span class="hlt">lightning</span> fire problem is the prime target of a broad research program now known as Project Skyfire. KEYWORDS: <span class="hlt">lightning</span>, fire research</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-PIA22049.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-PIA22049.html"><span>Impact of Northern California Fires Seen in New <span class="hlt">NASA</span> Satellite <span class="hlt">Image</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2017-10-23</p> <p>As firefighters continue to work toward full containment of the rash of wildfires burning in Northern California, a new <span class="hlt">image</span> from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) instrument on <span class="hlt">NASA</span>'s Terra satellite shows the growing fire scar on the landscape. In this ASTER <span class="hlt">image</span>, acquired Oct. 21, 2017, vegetation is red, while burned areas appear dark gray. The <span class="hlt">image</span> covers an area of 38 by 39 miles (60.5 by 63 kilometers) and is located near 38.5 degrees north, 122.4 degrees west. https://photojournal.jpl.<span class="hlt">nasa</span>.gov/catalog/PIA22049</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19880011374','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19880011374"><span>Atmospheric Electrical Modeling in Support of the <span class="hlt">NASA</span> F-106 Storm Hazards Project</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Helsdon, John H., Jr.</p> <p>1988-01-01</p> <p>A recently developed storm electrification model (SEM) is used to investigate the operating environment of the F-106 airplane during the <span class="hlt">NASA</span> Storm Hazards Project. The model is 2-D, time dependent and uses a bulkwater microphysical parameterization scheme. Electric charges and fields are included, and the model is fully coupled dynamically, microphysically and electrically. One flight showed that a high electric field was developed at the aircraft's operating altitude (28 kft) and that a strong electric field would also be found below 20 kft; however, this low-altitude, high-field region was associated with the presence of small hail, posing a hazard to the aircraft. An operational procedure to increase the frequency of low-altitude <span class="hlt">lightning</span> strikes was suggested. To further the understanding of <span class="hlt">lightning</span> within the cloud environment, a parameterization of the <span class="hlt">lightning</span> process was included in the SEM. It accounted for the initiation, propagation, termination, and charge redistribution associated with an intracloud discharge. Finally, a randomized <span class="hlt">lightning</span> propagation scheme was developed, and the effects of cloud particles on the initiation of <span class="hlt">lightning</span> investigated.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2014PrAeS..64....1G','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2014PrAeS..64....1G"><span><span class="hlt">Lightning</span> strike protection of composites</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Gagné, Martin; Therriault, Daniel</p> <p>2014-01-01</p> <p>Aircraft structures are being redesigned to use fiber-reinforced composites mainly due to their high specific stiffness and strength. One of the main drawbacks from changing from electrically conductive metals to insulating or semi-conducting composites is the higher vulnerability of the aircraft to <span class="hlt">lightning</span> strike damage. The current protection approach consists of bonding a metal mesh to the surface of the composite structure, but this weight increase negatively impact the fuel efficiency. This review paper presents an overview of the <span class="hlt">lightning</span> strike problematic, the regulations, the <span class="hlt">lightning</span> damage to composite, the current protection solutions and other material or technology alternatives. Advanced materials such as polymer-based nanocomposites and carbon nanotube buckypapers are promising candidates for lightweight <span class="hlt">lightning</span> strike protection technology.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2011AGUFMAE12A..02F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2011AGUFMAE12A..02F"><span>Infrasound from <span class="hlt">lightning</span> measured in Ivory Coast</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Farges, T.; Matoza, R. S.</p> <p>2011-12-01</p> <p>It is well established that more than 2,000 thunderstorms occur continuously around the world and that about 45 <span class="hlt">lightning</span> flashes are produced per second over the globe. More than two thirds (42) of the infrasound stations of the International Monitoring System (IMS) of the CTBTO (Comprehensive nuclear Test Ban Treaty Organisation) are now certified and routinely measure signals due to natural activity (e.g., airflow over mountains, aurora, microbaroms, surf, volcanoes, severe weather including <span class="hlt">lightning</span> flashes, ...). Some of the IMS stations are located where worldwide <span class="hlt">lightning</span> detection networks (e.g. WWLLN) have a weak detection capability but <span class="hlt">lightning</span> activity is high (e.g. Africa, South America). These infrasound stations are well localised to study <span class="hlt">lightning</span> flash activity and its disparity, which is a good proxy for global warming. Progress in infrasound array data processing over the past ten years makes such <span class="hlt">lightning</span> studies possible. For example, Farges and Blanc (2010) show clearly that it is possible to measure <span class="hlt">lightning</span> infrasound from thunderstorms within a range of distances from the infrasound station. Infrasound from <span class="hlt">lightning</span> can be detected when the thunderstorm is within about 75 km from the station. The motion of the squall zone is very well measured inside this zone. Up to 25% of <span class="hlt">lightning</span> flashes can be detected with this technique, giving better results locally than worldwide <span class="hlt">lightning</span> detection networks. An IMS infrasound station has been installed in Ivory Coast for 8 years. The optical space-based instrument OTD measured a rate of 10-20 flashes/km^2/year in that country and showed strong seasonal variations (Christian et al., 2003). Ivory Coast is therefore a good place to study infrasound data associated with <span class="hlt">lightning</span> activity and its temporal variation. First statistical results will be presented in this paper based on 3 years of data (2005-2008).</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://www.dtic.mil/docs/citations/ADA099590','DTIC-ST'); return false;" href="http://www.dtic.mil/docs/citations/ADA099590"><span><span class="hlt">Lightning</span> Technology (Supplement)</span></a></p> <p><a target="_blank" href="http://www.dtic.mil/">DTIC Science & Technology</a></p> <p></p> <p>1981-01-01</p> <p>material presented in this report was taken from a variety of sources; therefore, various units of measure are used. Use of trade names or names of...Clifford, and W. G. Butters 3. IMPLEMENTATION AND EXPERIENCE WITH <span class="hlt">LIGHTNING</span> HARDENING MEASURES ON THE NAVY/AIR FORCE COMBAT MANEUVERING RANGES...overall <span class="hlt">lightning</span> event taken from an appropriate base of wideband measurements . In 1979, the Air Force Wright Aeronautical Laboratories began a joint</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://adsabs.harvard.edu/abs/2012EGUGA..14.1285F','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2012EGUGA..14.1285F"><span>Infrasound from <span class="hlt">lightning</span> measured in Ivory Coast</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Farges, T.; Millet, C.; Matoza, R. S.</p> <p>2012-04-01</p> <p>It is well established that more than 2,000 thunderstorms occur continuously around the world and that about 45 <span class="hlt">lightning</span> flashes are produced per second over the globe. More than two thirds (42) of the infrasound stations of the International Monitoring System (IMS) of the CTBTO (Comprehensive nuclear Test Ban Treaty Organisation) are now certified and routinely measure signals due to natural activity (e.g., airflow over mountains, aurora, microbaroms, surf, volcanoes, severe weather including <span class="hlt">lightning</span> flashes, …). Some of the IMS stations are located where worldwide <span class="hlt">lightning</span> detection networks (e.g. WWLLN) have a weak detection capability but <span class="hlt">lightning</span> activity is high (e.g. Africa, South America). These infrasound stations are well localised to study <span class="hlt">lightning</span> flash activity and its disparity, which is a good proxy for global warming. Progress in infrasound array data processing over the past ten years makes such <span class="hlt">lightning</span> studies possible. For example, Farges and Blanc (2010) show clearly that it is possible to measure <span class="hlt">lightning</span> infrasound from thunderstorms within a range of distances from the infrasound station. Infrasound from <span class="hlt">lightning</span> can be detected when the thunderstorm is within about 75 km from the station. The motion of the squall zone is very well measured inside this zone. Up to 25% of <span class="hlt">lightning</span> flashes can be detected with this technique, giving better results locally than worldwide <span class="hlt">lightning</span> detection networks. An IMS infrasound station has been installed in Ivory Coast for 9 years. The <span class="hlt">lightning</span> rate of this region is 10-20 flashes/km2/year from space-based instrument OTD (Christian et al., 2003). Ivory Coast is therefore a good place to study infrasound data associated with <span class="hlt">lightning</span> activity and its temporal variation. First statistical results will be presented in this paper based on 4 years of data (2005-2009). For short <span class="hlt">lightning</span> distances (less than 20 km), up to 60 % of <span class="hlt">lightning</span> detected by WWLLN has been one-to-one correlated</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/27466230','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/27466230"><span>A Fossilized Energy Distribution of <span class="hlt">Lightning</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Pasek, Matthew A; Hurst, Marc</p> <p>2016-07-28</p> <p>When <span class="hlt">lightning</span> strikes soil, it may generate a cylindrical tube of glass known as a fulgurite. The morphology of a fulgurite is ultimately a consequence of the energy of the <span class="hlt">lightning</span> strike that formed it, and hence fulgurites may be useful in elucidating the energy distribution frequency of cloud-to-ground <span class="hlt">lightning</span>. Fulgurites from sand mines in Polk County, Florida, USA were collected and analyzed to determine morphologic properties. Here we show that the energy per unit length of <span class="hlt">lightning</span> strikes within quartz sand has a geometric mean of ~1.0 MJ/m, and that the distribution is lognormal with respect to energy per length and frequency. Energy per length is determined from fulgurites as a function of diameter, and frequency is determined both by cumulative number and by cumulative length. This distribution parallels those determined for a number of <span class="hlt">lightning</span> parameters measured in actual atmospheric discharge events, such as charge transferred, voltage, and action integral. This methodology suggests a potential useful pathway for elucidating <span class="hlt">lightning</span> energy and damage potential of strikes.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4964350','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=4964350"><span>A Fossilized Energy Distribution of <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>Pasek, Matthew A.; Hurst, Marc</p> <p>2016-01-01</p> <p>When <span class="hlt">lightning</span> strikes soil, it may generate a cylindrical tube of glass known as a fulgurite. The morphology of a fulgurite is ultimately a consequence of the energy of the <span class="hlt">lightning</span> strike that formed it, and hence fulgurites may be useful in elucidating the energy distribution frequency of cloud-to-ground <span class="hlt">lightning</span>. Fulgurites from sand mines in Polk County, Florida, USA were collected and analyzed to determine morphologic properties. Here we show that the energy per unit length of <span class="hlt">lightning</span> strikes within quartz sand has a geometric mean of ~1.0 MJ/m, and that the distribution is lognormal with respect to energy per length and frequency. Energy per length is determined from fulgurites as a function of diameter, and frequency is determined both by cumulative number and by cumulative length. This distribution parallels those determined for a number of <span class="hlt">lightning</span> parameters measured in actual atmospheric discharge events, such as charge transferred, voltage, and action integral. This methodology suggests a potential useful pathway for elucidating <span class="hlt">lightning</span> energy and damage potential of strikes. PMID:27466230</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29138444','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29138444"><span>The Elusive Evidence of Volcanic <span class="hlt">Lightning</span>.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Genareau, K; Gharghabi, P; Gafford, J; Mazzola, M</p> <p>2017-11-14</p> <p><span class="hlt">Lightning</span> strikes are known to morphologically alter and chemically reduce geologic formations and deposits, forming fulgurites. A similar process occurs as the result of volcanic <span class="hlt">lightning</span> discharge, when airborne volcanic ash is transformed into <span class="hlt">lightning</span>-induced volcanic spherules (LIVS). Here, we adapt the calculations used in previous studies of <span class="hlt">lightning</span>-induced damage to infrastructure materials to determine the effects on pseudo-ash samples of simplified composition. Using laboratory high-current impulse experiments, this research shows that within the <span class="hlt">lightning</span> discharge channel there is an ideal melting zone that represents roughly 10% or less of the total channel radius at which temperatures are sufficient to melt the ash, regardless of peak current. The melted ash is simultaneously expelled from the channel by the heated, expanding air, permitting particles to cool during atmospheric transport before coming to rest in ash fall deposits. The limited size of this ideal melting zone explains the low number of LIVS typically observed in volcanic ash despite the frequent occurrence of <span class="hlt">lightning</span> during explosive eruptions.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/29303164','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/29303164"><span>Automated Storm Tracking and the <span class="hlt">Lightning</span> Jump Algorithm Using GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM) Proxy Data.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Schultz, Elise V; Schultz, Christopher J; Carey, Lawrence D; Cecil, Daniel J; Bateman, Monte</p> <p>2016-01-01</p> <p>This study develops a fully automated <span class="hlt">lightning</span> jump system encompassing objective storm tracking, Geostationary <span class="hlt">Lightning</span> Mapper proxy data, and the <span class="hlt">lightning</span> jump algorithm (LJA), which are important elements in the transition of the LJA concept from a research to an operational based algorithm. Storm cluster tracking is based on a product created from the combination of a radar parameter (vertically integrated liquid, VIL), and <span class="hlt">lightning</span> information (flash rate density). Evaluations showed that the spatial scale of tracked features or storm clusters had a large impact on the <span class="hlt">lightning</span> jump system performance, where increasing spatial scale size resulted in decreased dynamic range of the system's performance. This framework will also serve as a means to refine the LJA itself to enhance its operational applicability. Parameters within the system are isolated and the system's performance is evaluated with adjustments to parameter sensitivity. The system's performance is evaluated using the probability of detection (POD) and false alarm ratio (FAR) statistics. Of the algorithm parameters tested, sigma-level (metric of <span class="hlt">lightning</span> jump strength) and flash rate threshold influenced the system's performance the most. Finally, verification methodologies are investigated. It is discovered that minor changes in verification methodology can dramatically impact the evaluation of the <span class="hlt">lightning</span> jump system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20160009780','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20160009780"><span>Automated Storm Tracking and the <span class="hlt">Lightning</span> Jump Algorithm Using GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM) Proxy Data</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Schultz, Elise; Schultz, Christopher Joseph; Carey, Lawrence D.; Cecil, Daniel J.; Bateman, Monte</p> <p>2016-01-01</p> <p>This study develops a fully automated <span class="hlt">lightning</span> jump system encompassing objective storm tracking, Geostationary <span class="hlt">Lightning</span> Mapper proxy data, and the <span class="hlt">lightning</span> jump algorithm (LJA), which are important elements in the transition of the LJA concept from a research to an operational based algorithm. Storm cluster tracking is based on a product created from the combination of a radar parameter (vertically integrated liquid, VIL), and <span class="hlt">lightning</span> information (flash rate density). Evaluations showed that the spatial scale of tracked features or storm clusters had a large impact on the <span class="hlt">lightning</span> jump system performance, where increasing spatial scale size resulted in decreased dynamic range of the system's performance. This framework will also serve as a means to refine the LJA itself to enhance its operational applicability. Parameters within the system are isolated and the system's performance is evaluated with adjustments to parameter sensitivity. The system's performance is evaluated using the probability of detection (POD) and false alarm ratio (FAR) statistics. Of the algorithm parameters tested, sigma-level (metric of <span class="hlt">lightning</span> jump strength) and flash rate threshold influenced the system's performance the most. Finally, verification methodologies are investigated. It is discovered that minor changes in verification methodology can dramatically impact the evaluation of the <span class="hlt">lightning</span> jump system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5749929','PMC'); return false;" href="https://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=5749929"><span>Automated Storm Tracking and the <span class="hlt">Lightning</span> Jump Algorithm Using GOES-R Geostationary <span class="hlt">Lightning</span> Mapper (GLM) Proxy Data</span></a></p> <p><a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pmc">PubMed Central</a></p> <p>SCHULTZ, ELISE V.; SCHULTZ, CHRISTOPHER J.; CAREY, LAWRENCE D.; CECIL, DANIEL J.; BATEMAN, MONTE</p> <p>2017-01-01</p> <p>This study develops a fully automated <span class="hlt">lightning</span> jump system encompassing objective storm tracking, Geostationary <span class="hlt">Lightning</span> Mapper proxy data, and the <span class="hlt">lightning</span> jump algorithm (LJA), which are important elements in the transition of the LJA concept from a research to an operational based algorithm. Storm cluster tracking is based on a product created from the combination of a radar parameter (vertically integrated liquid, VIL), and <span class="hlt">lightning</span> information (flash rate density). Evaluations showed that the spatial scale of tracked features or storm clusters had a large impact on the <span class="hlt">lightning</span> jump system performance, where increasing spatial scale size resulted in decreased dynamic range of the system’s performance. This framework will also serve as a means to refine the LJA itself to enhance its operational applicability. Parameters within the system are isolated and the system’s performance is evaluated with adjustments to parameter sensitivity. The system’s performance is evaluated using the probability of detection (POD) and false alarm ratio (FAR) statistics. Of the algorithm parameters tested, sigma-level (metric of <span class="hlt">lightning</span> jump strength) and flash rate threshold influenced the system’s performance the most. Finally, verification methodologies are investigated. It is discovered that minor changes in verification methodology can dramatically impact the evaluation of the <span class="hlt">lightning</span> jump system. PMID:29303164</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2003EAEJA.....3339P','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2003EAEJA.....3339P"><span>Positive <span class="hlt">lightning</span> and severe weather</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Price, C.; Murphy, B.</p> <p>2003-04-01</p> <p>In recent years researchers have noticed that severe weather (tornados, hail and damaging winds) are closely related to the amount of positive <span class="hlt">lightning</span> occurring in thunderstorms. On 4 July 1999, a severe derecho (wind storm) caused extensive damage to forested regions along the United States/Canada border, west of Lake Superior. There were 665,000 acres of forest destroyed in the Boundary Waters Canoe Area Wilderness (BWCAW) in Minnesota and Quetico Provincial Park in Canada, with approximately 12.5 million trees blown down. This storm resulted in additional severe weather before and after the occurrence of the derecho, with continuous cloud-to-ground (CG) <span class="hlt">lightning</span> occurring for more than 34 hours during its path across North America. At the time of the derecho the percentage of positive cloud-to-ground (+CG) <span class="hlt">lightning</span> measured by the Canadian <span class="hlt">Lightning</span> Detection Network (CLDN) was greater than 70% for more than three hours, with peak values reaching 97% positive CG <span class="hlt">lightning</span>. Such high ratios of +CG are rare, and may be useful indicators for short-term forecasts of severe weather.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2005AGUSMAE11A..03M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2005AGUSMAE11A..03M"><span>Modern Protection Against <span class="hlt">Lightning</span> Strikes</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Moore, C.</p> <p>2005-05-01</p> <p>The application of science to provide protection against <span class="hlt">lightning</span> strikes began around 1750 when Benjamin Franklin who invented the <span class="hlt">lightning</span> rod in an effort to discharge thunderclouds. Instead of preventing <span class="hlt">lightning</span> as he expected, his rods have been quite successful as strike receptors, intercepting cloud-to ground discharges and conducting them to Earth without damage to the structures on which they are mounted. In the years since Franklin's invention there has been little attention paid to the rod configuration that best serves as a strike receptor but Franklin's original ideas continue to be rediscovered and promoted. Recent measurements of the responses of variously configured rods to nearby strikes indicate that sharp-tipped rods are not the optimum configuration to serve as strike receptors since the ionization of the air around their tips limits the strength of the local electric fields created by an approaching <span class="hlt">lightning</span> leader. In these experiments, fourteen blunt-tipped rods exposed in strike-reception competitions with nearby sharp-tipped rods were struck by <span class="hlt">lightning</span> but none of the sharp-tipped rods were struck.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015AtmRe.160...82K','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015AtmRe.160...82K"><span>The impact of the Western Ghats on <span class="hlt">lightning</span> activity on the western coast of India</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Kamra, A. K.; Nair, A. A.</p> <p>2015-06-01</p> <p>The effect of the Western Ghats on the <span class="hlt">lightning</span> activity across the west coast of India around the coastal metropolitan city of Mumbai during the 1998-2012 period is investigated using data from the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) onboard the Tropical Rainfall Measuring Mission (TRMM) satellite. A land-sea contrast of an order of magnitude in the <span class="hlt">lightning</span> activity is observed even in a small area across the western coast of India. The shape of a zone of high <span class="hlt">lightning</span> activity formed almost parallel to the Western Ghats during the onset and withdrawal phases of monsoon, strongly suggests the effect of the Western Ghats in its formation. Seasonal variation of the <span class="hlt">lightning</span> activity in this area and also in each of its four equal sectors (two each over the Arabian Sea and over land) is bi-annual with one peak each in the onset (May/June) and withdrawal months (September/October) of monsoon and a sharp dip to very low values during the monsoon months (July/August) of maximum seasonal rainfall. The <span class="hlt">lightning</span> activity in each sector is found to increase over the 1998-2012 period. However, the increase in <span class="hlt">lightning</span> activity over the sector containing Mumbai is found to be greater during the pre- and post-monsoon periods and smaller during the monsoon period as compared to an identical sector immediately south of it.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2016AtmRe.172....1M','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2016AtmRe.172....1M"><span>The verification of <span class="hlt">lightning</span> location accuracy in Finland deduced from <span class="hlt">lightning</span> strikes to trees</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Mäkelä, Antti; Mäkelä, Jakke; Haapalainen, Jussi; Porjo, Niko</p> <p>2016-05-01</p> <p>We present a new method to determine the ground truth and accuracy of <span class="hlt">lightning</span> location systems (LLS), using natural <span class="hlt">lightning</span> strikes to trees. Observations of strikes to trees are being collected with a Web-based survey tool at the Finnish Meteorological Institute. Since the Finnish thunderstorms tend to have on average a low flash rate, it is often possible to identify from the LLS data unambiguously the stroke that caused damage to a given tree. The coordinates of the tree are then the ground truth for that stroke. The technique has clear advantages over other methods used to determine the ground truth. Instrumented towers and rocket launches measure upward-propagating <span class="hlt">lightning</span>. Video and audio records, even with triangulation, are rarely capable of high accuracy. We present data for 36 quality-controlled tree strikes in the years 2007-2008. We show that the average inaccuracy of the <span class="hlt">lightning</span> location network for that period was 600 m. In addition, we show that the 50% confidence ellipse calculated by the <span class="hlt">lightning</span> location network and used operationally for describing the location accuracy is physically meaningful: half of all the strikes were located within the uncertainty ellipse of the nearest recorded stroke. Using tree strike data thus allows not only the accuracy of the LLS to be estimated but also the reliability of the uncertainty ellipse. To our knowledge, this method has not been attempted before for natural <span class="hlt">lightning</span>.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/20070001544','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/20070001544"><span>Performance Assessment of the Optical Transient Detector and <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor. Part 2; Clustering Algorithm</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Mach, Douglas M.; Christian, Hugh J.; Blakeslee, Richard; Boccippio, Dennis J.; Goodman, Steve J.; Boeck, William</p> <p>2006-01-01</p> <p>We describe the clustering algorithm used by the <span class="hlt">Lightning</span> <span class="hlt">Imaging</span> Sensor (LIS) and the Optical Transient Detector (OTD) for combining the <span class="hlt">lightning</span> pulse data into events, groups, flashes, and areas. Events are single pixels that exceed the LIS/OTD background level during a single frame (2 ms). Groups are clusters of events that occur within the same frame and in adjacent pixels. Flashes are clusters of groups that occur within 330 ms and either 5.5 km (for LIS) or 16.5 km (for OTD) of each other. Areas are clusters of flashes that occur within 16.5 km of each other. Many investigators are utilizing the LIS/OTD flash data; therefore, we test how variations in the algorithms for the event group and group-flash clustering affect the flash count for a subset of the LIS data. We divided the subset into areas with low (1-3), medium (4-15), high (16-63), and very high (64+) flashes to see how changes in the clustering parameters affect the flash rates in these different sizes of areas. We found that as long as the cluster parameters are within about a factor of two of the current values, the flash counts do not change by more than about 20%. Therefore, the flash clustering algorithm used by the LIS and OTD sensors create flash rates that are relatively insensitive to reasonable variations in the clustering algorithms.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2015EGUGA..1713577H','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2015EGUGA..1713577H"><span>Severe weather detection by using Japanese Total <span class="hlt">Lightning</span> Network</span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Hobara, Yasuhide; Ishii, Hayato; Kumagai, Yuri; Liu, Charlie; Heckman, Stan; Price, Colin</p> <p>2015-04-01</p> <p>In this paper we demonstrate the preliminary results from the first Japanese Total <span class="hlt">Lightning</span> Network. The University of Electro-Communications (UEC) recently deployed Earth Networks Total <span class="hlt">Lightning</span> System over Japan to conduct various <span class="hlt">lightning</span> research projects. Here we analyzed the total <span class="hlt">lightning</span> data in relation with 10 severe events such as gust fronts and tornadoes occurred in 2014 in mainland Japan. For the analysis of these events, <span class="hlt">lightning</span> jump algorithm was used to identify the increase of the flash rate in prior to the severe weather events. We found that <span class="hlt">lightning</span> jumps associated with significant increasing <span class="hlt">lightning</span> activities for total <span class="hlt">lightning</span> and IC clearly indicate the severe weather occurrence than those for CGs.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001922.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-GSFC_20171208_Archive_e001922.html"><span><span class="hlt">NASA</span> Captures First Color <span class="hlt">Image</span> of Mercury from Orbit</span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2011-03-30</p> <p><span class="hlt">NASA</span> <span class="hlt">image</span> acquired: March 29, 2011 The first <span class="hlt">image</span> acquired by MESSENGER from orbit around Mercury was actually part of an eight-<span class="hlt">image</span> sequence, for which <span class="hlt">images</span> were acquired through eight of the WAC’s eleven filters. Here we see a color version of that first <span class="hlt">imaged</span> terrain; in this view the <span class="hlt">images</span> obtained through the filters with central wavelengths of 1000 nm, 750 nm, and 430 nm are displayed in red, green, and blue, respectively. One of MESSENGER’s measurement objectives is to create an eight-color global base map at a resolution of 1 km/pixel (0.6 miles/pixel) to help understand the variations of composition across Mercury’s surface. On March 17, 2011 (March 18, 2011, UTC), MESSENGER became the first spacecraft ever to orbit the planet Mercury. The mission is currently in its commissioning phase, during which spacecraft and instrument performance are verified through a series of specially designed checkout activities. In the course of the one-year primary mission, the spacecraft's seven scientific instruments and radio science investigation will unravel the history and evolution of the Solar System's innermost planet. Visit the Why Mercury? section of this website to learn more about the science questions that the MESSENGER mission has set out to answer. Credit: <span class="hlt">NASA</span>/Johns Hopkins University Applied Physics Laboratory/Carnegie Institution of Washington <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 Join us on Facebook</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.ncbi.nlm.nih.gov/pubmed/23478564','PUBMED'); return false;" href="https://www.ncbi.nlm.nih.gov/pubmed/23478564"><span><span class="hlt">Lightning</span> injuries in sports and recreation.</span></a></p> <p><a target="_blank" href="https://www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed">PubMed</a></p> <p>Thomson, Eric M; Howard, Thomas M</p> <p>2013-01-01</p> <p>The powers of <span class="hlt">lightning</span> have been worshiped and feared by all known human cultures. While the chance of being struck by <span class="hlt">lightning</span> is statistically very low, that risk becomes much greater in those who frequently work or play outdoors. Over the past 2 yr, there have been nearly 50 <span class="hlt">lightning</span>-related deaths reported within the United States, with a majority of them associated with outdoor recreational activities. Recent publications primarily have been case studies, review articles, and a discussion of a sixth method of injury. The challenge in reducing <span class="hlt">lightning</span>-related injuries in organized sports has been addressed well by both the National Athletic Trainers' Association and the National Collegiate Athletic Association in their guidelines on <span class="hlt">lightning</span> safety. Challenges remain in educating the general population involved in recreational outdoor activities that do not fall under the guidelines of organized sports.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://adsabs.harvard.edu/abs/2008GeoRL..3515802A','NASAADS'); return false;" href="http://adsabs.harvard.edu/abs/2008GeoRL..3515802A"><span>Characterization of infrasound from <span class="hlt">lightning</span></span></a></p> <p><a target="_blank" href="http://adsabs.harvard.edu/abstract_service.html">NASA Astrophysics Data System (ADS)</a></p> <p>Assink, J. D.; Evers, L. G.; Holleman, I.; Paulssen, H.</p> <p>2008-08-01</p> <p>During thunderstorm activity in the Netherlands, electromagnetic and infrasonic signals are emitted due to the process of <span class="hlt">lightning</span> and thunder. It is shown that correlating infrasound detections with results from a electromagnetic <span class="hlt">lightning</span> detection network is successful up to distances of 50 km from the infrasound array. Infrasound recordings clearly show blastwave characteristics which can be related to cloud-ground discharges, with a dominant frequency between 1-5 Hz. Amplitude measurements of CG discharges can partly be explained by the beam pattern of a line source with a dominant frequency of 3.9 Hz, up to a distance of 20 km. The ability to measure <span class="hlt">lightning</span> activity with infrasound arrays has both positive and negative implications for CTBT verification purposes. As a scientific application, <span class="hlt">lightning</span> studies can benefit from the worldwide infrasound verification system.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('http://hdl.handle.net/2060/19970024904','NASA-TRS'); return false;" href="http://hdl.handle.net/2060/19970024904"><span><span class="hlt">Lightning</span> Effects in the Payload Changeout Room</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Thomas, Garland L.; Fisher, Franklin A.; Collier, Richard S.; Medelius, Pedro J.</p> <p>1997-01-01</p> <p>Analytical and empirical studies have been performed to provide better understanding of the electromagnetic environment inside the Payload Changeout Room and Orbiter payload bay resulting from <span class="hlt">lightning</span> strikes to the launch pad <span class="hlt">lightning</span> protection system. The analytical studies consisted of physical and mathematical modeling of the pad structure and the Payload Changeout Room. Empirical testing was performed using a <span class="hlt">lightning</span> simulator to simulate controlled (8 kA) <span class="hlt">lightning</span> strikes to the catenary wire <span class="hlt">lightning</span> protection system. In addition to the analyses and testing listed above, an analysis of the configuration with the vehicle present was conducted, in lieu of testing, by the Finite Difference, Time Domain method.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://www.osti.gov/biblio/362646-grounding-lightning-protection-volume','SCIGOV-STC'); return false;" href="https://www.osti.gov/biblio/362646-grounding-lightning-protection-volume"><span>Grounding and <span class="hlt">lightning</span> protection. Volume 5</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>Robinson, M.D.</p> <p>1987-12-31</p> <p>Grounding systems protect personnel and equipment by isolating faulted systems and dissipating transient currents. <span class="hlt">Lightning</span> protection systems minimize the possible consequences of a direct strike by <span class="hlt">lightning</span>. This volume focuses on design requirements of the grounding system and on present-day concepts used in the design of <span class="hlt">lightning</span> protection systems. Various types of grounding designs are presented, and their advantages and disadvantages discussed. Safety, of course, is the primary concern of any grounding system. Methods are shown for grounding the non-current-carrying parts of electrical equipment to reduce shock hazards to personnel. <span class="hlt">Lightning</span> protection systems are installed on tall structures (such asmore » chimneys and cooling towers) to minimize the possibility of structural damage caused by direct <span class="hlt">lightning</span> strokes. These strokes may carry currents of 200,000 A or more. The volume examines the formation and characteristics of <span class="hlt">lightning</span> strokes and the way stroke characteristics influence the design of <span class="hlt">lightning</span> protection systems. Because a large portion of the grounding system is buried in soil or concrete, it is not readily accessible for inspection or repair after its installation. The volume details the careful selection and sizing of materials needed to ensure a long, maintenance-free life for the system. Industry standards and procedures for testing the adequacy of the grounding system are also discussed.« less</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://ntrs.nasa.gov/search.jsp?R=19990084083&hterms=blue+light&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dblue%2Blight','NASA-TRS'); return false;" href="https://ntrs.nasa.gov/search.jsp?R=19990084083&hterms=blue+light&qs=Ntx%3Dmode%2Bmatchall%26Ntk%3DAll%26N%3D0%26No%3D80%26Ntt%3Dblue%2Blight"><span>A View of <span class="hlt">Lightning</span> from the Space Shuttle Red Sprites and Blue Jets</span></a></p> <p><a target="_blank" href="http://ntrs.nasa.gov/search.jsp">NASA Technical Reports Server (NTRS)</a></p> <p>Vaughan, Otha H., Jr.</p> <p>1999-01-01</p> <p>An examination and analysis of video <span class="hlt">images</span> of <span class="hlt">lightning</span> captured by the Low Light Level Monochrome TV cameras of the space shuttle, have provided a variety of examples of new forms of <span class="hlt">lightning</span>-like discharges that appear to move out of the top of very active thunderstorms. These <span class="hlt">images</span> were obtained during a number of shuttle missions while conducting the Mesoscale <span class="hlt">Lightning</span> Observational Experiment (MLE). The video <span class="hlt">images</span> illustrate a variety of filamentary and broad-like discharges to the stratosphere and maybe related to the intense electrical fields that are generated by the thunderstorm, which may somehow play a part in the Earth's global electrical circuit. A typical event is seen as a single or multiple-like filament that can appear to occur at altitudes between 60 to 95 km above the storm top. In addition, another phenomenon not explained at the present time, appears to move out the top of the storm and then proceeds toward the stratosphere at speeds of about lOOkm/sec. These events, much like a jet, reach an altitude of at least 33 km before they begin to spread out into a cone like shape. More observations obtained from ground and aircraft using low light level color TV cameras have confirmed that the sprites are red while the jets are blue in color, hence the name Red Sprites and Blue Jets. Still <span class="hlt">images</span> and video data will be presented, illustrating these new atmospheric phenomena.</p> </li> <li> <p><a target="_blank" onclick="trackOutboundLink('https://images.nasa.gov/#/details-88_DarkLightning.html','SCIGOVIMAGE-NASA'); return false;" href="https://images.nasa.gov/#/details-88_DarkLightning.html"><span>ScienceCast 88: Dark <span class="hlt">Lightning</span></span></a></p> <p><a target="_blank" href="https://images.nasa.gov/">NASA Image and Video Library</a></p> <p></p> <p>2013-01-07</p> <p>Researchers studying thunderstorms have made a surprising discovery: The <span class="hlt">lightning</span> we see with our eyes has a dark competitor that discharges storm clouds and flings antimatter into space. Scientists are scrambling to understand "dark <span class="hlt">lightning</span>."</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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