Sample records for buoy center ndbc

  1. Pilot Study Evaluating Nearshore Sediment Placement Sites, Noyo Harbor, CA

    DTIC Science & Technology

    2013-02-01

    distribution at the end of simulation (day 30). ............................. 33  Tables Table 1. NDBC, CDIP , and NOAA station locations...data are available from the National Data Buoy Center (NDBC, http://www.ndbc.noaa.gov) Buoy 46022 and Coastal Data Information Program ( CDIP , http...ft (1.8 m). Table 1 lists the NDBC, CDIP , and NOAA stations of interest and their location information. 2.4 Sediment characteristics A recent

  2. Verification and Validation of the Coastal Modeling System. Report 1: Summary Report

    DTIC Science & Technology

    2011-12-01

    Information Program ( CDIP ) Buoy 036 in a water depth of 40 m (relative to Mean Tide Level, MTL) and from the National Data Buoy Center (NDBC) Buoy...August to 14 September 2005, offshore wave data from a CDIP Buoy 098, the ocean surface wind from NDBC Buoy 51001, and water level data from NOAA station...buoy at 26-m depth was maintained by CDIP (Buoy 430), and data are available online at http://cdip.ucsd.edu. The wind measurements are available

  3. A User's Guide to the Tsunami Datasets at NOAA's National Data Buoy Center

    NASA Astrophysics Data System (ADS)

    Bouchard, R. H.; O'Neil, K.; Grissom, K.; Garcia, M.; Bernard, L. J.; Kern, K. J.

    2013-12-01

    The National Data Buoy Center (NDBC) has maintained and operated the National Oceanic and Atmospheric Administration's (NOAA) tsunameter network since 2003. The tsunameters employ the NOAA-developed Deep-ocean Assessment and Reporting of Tsunamis (DART) technology. The technology measures the pressure and temperature every 15 seconds on the ocean floor and transforms them into equivalent water-column height observations. A complex series of subsampled observations are transmitted acoustically in real-time to a moored buoy or marine autonomous vehicle (MAV) at the ocean surface. The surface platform uses its satellite communications to relay the observations to NDBC. NDBC places the observations onto the Global Telecommunication System (GTS) for relay to NOAA's Tsunami Warning Centers (TWC) in Hawai'i and Alaska and to the international community. It takes less than three minutes to speed the observations from the ocean floor to the TWCs. NDBC can retrieve limited amounts of the 15-s measurements from the instrumentation on the ocean floor using the technology's two-way communications. NDBC recovers the full resolution 15-s measurements about every 2 years and forwards the datasets and metadata to the National Geophysical Data Center for permanent archive. Meanwhile, NDBC retains the real-time observations on its website. The type of real-time observation depends on the operating mode of the tsunameter. NDBC provides the observations in a variety of traditional and innovative methods and formats that include descriptors of the operating mode. Datasets, organized by station, are available from the NDBC website as text files and from the NDBC THREDDS server in netCDF format. The website provides alerts and lists of events that allow users to focus on the information relevant for tsunami hazard analysis. In addition, NDBC developed a basic web service to query station information and observations to support the Short-term Inundation Forecasting for Tsunamis (SIFT) model. NDBC and NOAA's Integrated Ocean Observing System have fielded the innovative Sensor Observation Service (SOS) that allows users access to observations by station, or groups of stations that have been organized into Features of Interest, such as the 2011 Honshu Tsunami. The user can elect to receive the SOS observations in several different formats, such as Sensor Web Enablement (SWE) or delimiter-separated values. Recently, NDBC's Coastal and Offshore Buoys provided meteorological observations used in analyzing possible meteotsunamis on the U.S. East Coast. However, many of these observations are some distance away from the tsunameters. In a demonstration project, NDBC has added sensors to a tsunameter's surface buoy and a MAV to support program requirements for meteorological observations. All these observations are available from NDBC's website in text files, netCDF, and SOS. To aid users in obtaining information relevant to their applications, the presentation documents, in detail, the characteristics of the different types of real-time observations and the availability and organization of the resulting datasets at NDBC .

  4. NDBC - NDBC Real-Time Data

    Science.gov Websites

    Subtropical Storm Alberto. NDBC Real-Time Data NDBC moored buoy, C-MAN, and drifting buoy data are available in real-time through selecting either: NDBC Station locator map: a series of regional maps which show : a tabular list of station identifiers. Real-time data are available for the last 45 days (at least

  5. Waves, Hydrodynamics and Sediment Transport Modeling at Grays Harbor, WA

    DTIC Science & Technology

    2010-12-01

    Grays Harbor Federal navigation project. At the same time, offshore wind and wave data were available from NDBC Buoy 46029 and CDIP Buoy 036 / NDBC...is forced by the regional ADCIRC water levels and currents, surface wind field, and offshore waves based on the CDIP Buoy 036 (NDBC 46211). Figures

  6. SWADE Data Guide

    NASA Technical Reports Server (NTRS)

    Oberholtzer, David; Donelan, Mark

    1996-01-01

    This is a guide to the data that was collected during the Surface Wave Dynamics Experiment (SWADE) carried out from October 1990 through March 1991. The area studied was the Mid-Atlantic bight. Buoys collected data continuously during this time. Included are three 3-meter discus buoys the National Data Buoy Center (NDBC) set in the area for this project, they then later added a fourth 3-meter discus and an experimental coastal buoy. Data from all of the NDBC buoys and stations from New England to Florida have been included in the data set; in addition, several other buoys monitored meteorological and ocean conditions for parts of the experiment. Several times during the project, there were intensive data collection periods. During the third of these, there were 7 aircraft and a ship collecting data. Maps of each mission from the platforms that have shared their data are included. The anonymous FTP site that has been established to make this data public is described.

  7. Numerical Modeling of Coastal Dredged Material Placement Study at Noyo Harbor, CA

    DTIC Science & Technology

    2013-07-01

    Information Program ( CDIP , http://cdip.ucsd.edu) Buoy 46213. NDBC Buoy 46014, located offshore Noyo Bay, collects non- directional wave spectral data...lists these NDBC, CDIP , and NOAA stations and their location information. Fig. 5: Monthly mean wave height at Buoys 46014, 46022, and 46213...primarily sand with small percentages of mixed gravel, silt and clay (Table 2). Table 1. NDBC, CDIP , and NOAA station locations Station Latitude

  8. National Data Buoy Center

    Science.gov Websites

    Click to go to NDBC home page Select to go to the NWS homepage Home About Us Contact Us Search NDBC Web link to RSS feed access page Web Widget Email Access Web Data Guide Maintenance Schedule Station Status Information USA.gov is the U.S. government's official web portal to all federal, state and local government

  9. Observing Natural Hazards: Tsunami, Hurricane, and El Niño Observations from the NDBC Ocean Observing System of Systems

    NASA Astrophysics Data System (ADS)

    O'Neil, K.; Bouchard, R.; Burnett, W. H.; Aldrich, C.

    2009-12-01

    The National Oceanic and Atmospheric Administration’s (NOAA) National Data Buoy Center (NDBC) operates and maintains the NDBC Ocean Observing Systems of Systems (NOOSS), comprised of 3 networks that provide critical information before and during and after extreme hazards events, such as tsunamis, hurricanes, and El Niños. While each system has its own mission, they have in common the requirement to remain on station in remote areas of the ocean to provide reliable and accurate observations. After the 2004 Sumatran Tsunami, NOAA expanded its network of tsunameters from six in the Pacific Ocean to a vast network of 39 stations providing information to Tsunami Warning Centers to enable faster and more accurate tsunami warnings for coastal communities in the Pacific, Atlantic, Caribbean and the Gulf of Mexico. The tsunameter measurements are used to detect the amplitude and period of the tsunamis, and the data can be assimilated into models for the prediction and impact of the tsunamis to coastal communities. The network has been used for the detection of tsunamis generated by earthquakes, including the 2006 and 2007 Kuril Islands, 2007 Peru, and Solomon Islands, and most recently for the 2009 Dusky Sound, New Zealand earthquake. In August 2009, the NOAA adjusted its 2009 Atlantic Hurricane Seasonal Outlooks from above normal to near or below normal activity, primarily due to a strengthening El Niño. A key component in the detection of that El Niño was the Tropical Atmosphere Ocean Array (TAO) operated by NDBC. TAO provides real-time data for improved detection, understanding, and prediction of El Niño and La Niña. The 55-buoy TAO array spans the central and eastern equatorial Pacific providing real-time and post-deployment recovery data to support climate analysis and forecasts. Although, in this case, the El Niño benefits the tropical Atlantic, the alternate manifestation, La Niña typically enhances hurricane activity in the Atlantic. The various phases of the El Niño-Southern Oscillation resulting in extreme hazards, such as floods and landslides, droughts and wildfires, fish kills and biological impacts. For almost 40 years, NDBC has operated and maintained a network of buoys and coastal automated stations for meteorological and oceanographic observations that support real-time weather analysis, forecasting, and warnings. The US National Hurricane Center (NHC) uses the observations from the buoys to detect the position and intensity of tropical cyclones and the extent of their extreme winds and sea. Since 2006, NHC has cited over 100 instances of using buoy data in its Forecast Discussions or Public Advisories. Data are also used in reconstructing and analyzing the extent of devastation from land-falling hurricanes. The unprecedented devastation caused by the rising waters of 2005’s Hurricane Katrina was attributed to the waves generated and reported by the NDBC buoys in the Gulf of Mexico superimposed upon the storm surge at landfall. The three constituent systems of the NOOSS comprise a network of more than 250 observing stations providing real-time and archived data for forecasters, scientists, and disaster management officials.

  10. NWS Marine Links

    Science.gov Websites

    mariner. The U.S. Coast Guard Maritime Telecommunications webpage contains an excellent description of /owlie/publication_brochures NOAA Data Buoy Center http://www.ndbc.noaa.gov/ NOAA Weather Radio http /ncdc.html NOAA's National Oceanographic Data Center (NODC) http://www.nodc.noaa.gov NOAA Coastwatch http

  11. The Integrated Ocean Observing System Data Assembly Center

    NASA Astrophysics Data System (ADS)

    Bouchard, R. H.; Henderson, D.; Burnett, W.; Hervey, R. V.; Crout, R.

    2008-05-01

    The Integrated Ocean Observing System (IOOS) is the U.S. contribution to the Global Ocean Observing System and the Global Earth Observing System of Systems (GEOSS). As the Integrated Ocean Observing System Data Assembly Center (IOOS DAC), the National Oceanic and Atmospheric Administration`s (NOAA) National Data Buoy Center (NDBC) collects data from ocean observing systems and performs quality control on the data. Once the IOOS DAC performs the quality control, it distributes them in real-time: (1) in World Meteorological Organization alphanumeric data formats via the Global Telecommunications System (GTS) that provides instant availability to national and international users (2) in text files via its website (http://www.ndbc.noaa.gov) that provide easy access and use, and (3) in netCDF format via its OPeNDAP/DODS Server (http://dods.ndbc.noaa.gov) that provides higher resolution data than available in WMO alphanumeric or text file formats. The IOOS DAC routinely checks and distributes data from about 200 NDBC stations that include meteorological and oceanographic observations from buoys and coastal stations, water-level estimations from tsunameters (DART), and climate monitoring from buoys (Tropical Atmosphere Ocean array (TAO)). The IOOS DAC operates continuously - 24 hours per day, 7 days per week. In addition to data from NDBC`s platforms, the IOOS DAC applies its scientific expertise and data management and communications capabilities to facilitate partnerships for the exchange and application of data and to coordinate and leverage regional assets and resources from about 350 IOOS Partner stations. The IOOS DAC through its quality control process provides feedback to its partners on the quality of their observation that can lead to improved quality of the observations. The NDBC-IOOS Data Partnerships span the Western Hemisphere with data collection from the Beaufort Sea to the Peru Current, from the International Date Line to the central Atlantic Ocean, and include some 70 government organizations, non-government organizations, industry and academia. Data exchange is facilitated by the IOOS DAC`s capability to ingest some sensor native formats and its own eXtensible Mark-up Language (XML). The IOOS DAC handles a variety of observations among them atmospheric winds, pressure, and temperature, rainfall, directional waves, solar radiation, tides and water-levels, water-quality parameters, such as dissolved oxygen, turbidity, pH, chlorophyll, surface and subsurface currents, temperature, and salinity (conductivity) and from a diverse collection of observing platforms - moored and drifting buoys, coastal stations, oil and gas platforms, and HF Radar stations. The IOOS DAC efforts have resulted in making more than seven million in situ observations available in real- time to the global community during 2007.

  12. Marine, Tropical, and Tsunami Services

    Science.gov Websites

    essential to the conduct of safe and efficient maritime operations and for the protection of the marine - Managed by National Data Buoy Center (NDBC) Awareness Weeks: Tsunami Preparedness Campaigns National Safe Prepared and Stay Safe! Tsunami Preparedness: Applying Lessons from the Past Pacific Tsunami Warning Center

  13. From Many to Many More: Instant Interoperability Through the Integrated Ocean Observing System Data Assembly Center

    NASA Astrophysics Data System (ADS)

    Burnett, W.; Bouchard, R.; Hervey, R.; Crout, R.; Luke, R.

    2008-12-01

    As the Integrated Ocean Observing System (IOOS) Data Assembly Center (DAC), NOAA's National Data Buoy Center (NDBC) collects data from many ocean observing systems, quality controls the data, and distributes them nationally and internationally. The DAC capabilities provide instant interoperability of any ocean observatory with the national and international agencies responsible for critical forecasts and warnings and with the national media. This interoperability is an important milestone in an observing system's designation as an operational system. Data collection begins with NDBC's own observing systems - Meteorological and Oceanographic Buoys and Coastal Stations, the Tropical Atmosphere Ocean Array, and the NOAA tsunameter network. Leveraging the data management functions that support NDBC systems, the DAC can support data partners including ocean observations from IOOS Regional Observing Systems, the meteorological observations from the National Water Level Observing Network, meteorological and oceanographic observations from the National Estuarine Research Reserve System, Integrated Coral Observing Network, merchant ship observations from the Voluntary Observing Ship program, and ocean current measurements from oil and gas platforms in the Gulf of Mexico and from Coastal HF Radars. The DAC monitors and quality controls IOOS Partner data alerting the data provider to outages and quality discrepancies. After performing automated and manual quality control procedures, the DAC prepares the observations for distribution. The primary means of data distribution is in standard World Meteorological Organization alphanumeric coded messages distributed via the Global Telecommunications System, NOAAPort, and Family of Services. Observing systems provide their data via ftp to an NDBC server using a simple XML. The DAC also posts data in real-time to the NDBC webpages in columnar text format and data plots that maritime interests (e.g., surfing, fishing, boating) widely use. The webpage text feeds the Dial-A-Buoy capability that reads the latest data from webpages and the latest NWS forecast for the station to a user via telephone. The DAC also operates a DODS/OPenDAP server to provide data in netCDF. Recently the DAC implemented the NOAA IOOS Data Integration Framework, which facilitates the exchange of data between IOOS Regional Observing Systems by standardizing data exchange formats and incorporating needed metadata for the correct application of the data. The DAC has become an OceanSITES Global Data Assembly Center - part of the Initial Global Observing System for Climate. Supported by the NOAA IOOS Program, the DAC provides round-the-clock monitoring, quality control, and data distribution to ensure that its IOOS Partners can conduct operations that meet the NOAA definition of: Sustained, systematic, reliable, and robust mission activities with an institutional commitment to deliver appropriate, cost-effective products and services.

  14. Preliminary Assessment of Wind and Wave Retrieval from Chinese Gaofen-3 SAR Imagery

    PubMed Central

    Sun, Jian

    2017-01-01

    The Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) launched by the China Academy of Space Technology (CAST) has operated at C-band since September 2016. To date, we have collected 16/42 images in vertical-vertical (VV)/horizontal-horizontal (HH) polarization, covering the National Data Buoy Center (NDBC) buoy measurements of the National Oceanic and Atmospheric Administration (NOAA) around U.S. western coastal waters. Wind speeds from NDBC in situ buoys are up to 15 m/s and buoy-measured significant wave height (SWH) has ranged from 0.5 m to 3 m. In this study, winds were retrieved using the geophysical model function (GMF) together with the polarization ratio (PR) model and waves were retrieved using a new empirical algorithm based on SAR cutoff wavelength in satellite flight direction, herein called CSAR_WAVE. Validation against buoy measurements shows a 1.4/1.9 m/s root mean square error (RMSE) of wind speed and a 24/23% scatter index (SI) of SWH for VV/HH polarization. In addition, wind and wave retrieval results from 166 GF-3 images were compared with the European Centre for Medium-Range Weather Forecasts (ECMWF) re-analysis winds, as well as the SWH from the WaveWatch-III model, respectively. Comparisons show a 2.0 m/s RMSE for wind speed with a 36% SI of SWH for VV-polarization and a 2.2 m/s RMSE for wind speed with a 37% SI of SWH for HH-polarization. Our work gives a preliminary assessment of the wind and wave retrieval results from GF-3 SAR images for the first time and will provide guidance for marine applications of GF-3 SAR. PMID:28757571

  15. The Catalog of Event Data of the Operational Deep-ocean Assessment and Reporting of Tsunamis (DART) Stations at the National Data Buoy Center

    NASA Astrophysics Data System (ADS)

    Bouchard, R.; Locke, L.; Hansen, W.; Collins, S.; McArthur, S.

    2007-12-01

    DART systems are a critical component of the tsunami warning system as they provide the only real-time, in situ, tsunami detection before landfall. DART systems consist of a surface buoy that serves as a position locater and communications transceiver and a Bottom Pressure Recorder (BPR) on the seafloor. The BPR records temperature and pressure at 15-second intervals to a memory card for later retrieval for analysis and use by tsunami researchers, but the BPRs are normally recovered only once every two years. The DART systems also transmit subsets of the data, converted to an estimation of the sea surface height, in near real-time for use by the tsunami warning community. These data are available on NDBC's webpages, http://www.ndbc.noaa.gov/dart.shtml. Although not of the resolution of the data recorded to the BPR memory card, the near real-time data have proven to be of value in research applications [1]. Of particular interest are the DART data associated with geophysical events. The DART BPR continuously compares the measured sea height with a predicted sea-height and when the difference exceeds a threshold value, the BPR goes into Event Mode. Event Mode provides an extended, more frequent near real-time reporting of the sea surface heights for tsunami detection. The BPR can go into Event Mode because of geophysical triggers, such as tsunamis or seismic activity, which may or may not be tsunamigenic. The BPR can also go into Event Mode during recovery of the BPR as it leaves the seafloor, or when manually triggered by the Tsunami Warning Centers in advance of an expected tsunami. On occasion, the BPR will go into Event Mode without any associated tsunami or seismic activity or human intervention and these are considered "False'' Events. Approximately one- third of all Events can be classified as "False". NDBC is responsible for the operations, maintenance, and data management of the DART stations. Each DART station has a webpage with a drop-down list of all Events. NDBC maintains the non-geophysical Events in order to maintain the continuity of the time series records. In 2007, NDBC compiled all DART Events that occurred while under NDBC's operational control and made an assessment on their validity. The NDBC analysts performed the assessment using the characteristics of the data time series, triggering criteria, and associated seismic events. The compilation and assessments are catalogued in a NDBC technical document. The Catalog also includes a listing of the one-hour, high-resolution data, retrieved remotely from the BPRs that are not available on the web pages. The Events are classified by their triggering mechanism and listed by station location and, for those Events associated with geophysical triggers, they are listed by their associated seismic events. The Catalog provides researchers with a valuable tool in locating, assessing, and applying near real-time DART data to tsunami research and will be updated following DART Events. A link to the published Catalog can be found on the NDBC DART website, http://www.ndbc.noaa.gov/dart.shtml. Reference: [1] Gower, J. and F. González (2006), U.S. Warning System Detected the Sumatra Tsunami, Eos Trans. AGU, 87(10), 105-112.

  16. NOAA Operational Tsunameter Support for Research

    NASA Astrophysics Data System (ADS)

    Bouchard, R.; Stroker, K.

    2008-12-01

    In March 2008, the National Oceanic and Atmospheric Administration's (NOAA) National Data Buoy Center (NDBC) completed the deployment of the last of the 39-station network of deep-sea tsunameters. As part of NOAA's effort to strengthen tsunami warning capabilities, NDBC expanded the network from 6 to 39 stations and upgraded all stations to the second generation Deep-ocean Assessment and Reporting of Tsunamis technology (DART II). Consisting of a bottom pressure recorder (BPR) and a surface buoy, the tsunameters deliver water-column heights, estimated from pressure measurements at the sea floor, to Tsunami Warning Centers in less than 3 minutes. This network provides coastal communities in the Pacific, Atlantic, Caribbean, and the Gulf of Mexico with faster and more accurate tsunami warnings. In addition, both the coarse resolution real-time data and the high resolution (15-second) recorded data provide invaluable contributions to research, such as the detection of the 2004 Sumatran tsunami in the Northeast Pacific (Gower and González, 2006) and the experimental tsunami forecast system (Bernard et al., 2007). NDBC normally recovers the BPRs every 24 months and sends the recovered high resolution data to NOAA's National Geophysical Data Center (NGDC) for archive and distribution. NGDC edits and processes this raw binary format to obtain research-quality data. NGDC provides access to retrospective BPR data from 1986 to the present. The DART database includes pressure and temperature data from the ocean floor, stored in a relational database, enabling data integration with the global tsunami and significant earthquake databases. All data are accessible via the Web as tables, reports, interactive maps, OGC Web Map Services (WMS), and Web Feature Services (WFS) to researchers around the world. References: Gower, J. and F. González, 2006. U.S. Warning System Detected the Sumatra Tsunami, Eos Trans. AGU, 87(10). Bernard, E. N., C. Meinig, and A. Hilton, 2007. Deep Ocean Tsunami Detection: Third Generation DART, Eos Trans. AGU, 88(52), Fall Meet. Suppl., Abstract S51C-03.

  17. Improvements in NOAA's Operational Tsunameter Network since December 2004

    NASA Astrophysics Data System (ADS)

    Bouchard, R.; Kohler, C.; McArthur, S.; Burnett, W. H.; Wells, W. I.; Luke, R.

    2009-12-01

    In December 2004 during the devastating Sumatran Tsunami, the National Oceanic and Atmospheric Administration (NOAA) had five tsunameter stations established in the North Pacific Ocean and one in the South Pacific Ocean operated and maintained by NOAA’s National Data Buoy Center (NDBC). The original six tsunameters employed the technology of the first generation Deep-ocean Assessment and Reporting of Tsunamis (DART I) developed by NOAA’s Pacific Marine Environmental Laboratory (PMEL) and successfully transitioned to NDBC in 2003. The technology consists of a Bottom Pressure Recorder (BPR) that makes pressure measurements near the sea-floor and a surface buoy. It takes less than three minutes for data to get from the BPR, which can reside to depths of 6000 m, to users. The BPR contains a tsunami detection algorithm that will place the BPR in rapid reporting mode(also know as Event Mode). The two most profound improvements to the network were its expansion to 39 stations and the transition and upgrade to the second generation DART II systems. In the aftermath of the Sumatran Tsunami, NOAA expanded the network to 39 stations to bolster the US tsunami warning system by providing coastal communities in the Pacific, Atlantic, Caribbean and the Gulf of Mexico with faster and more accurate tsunami warnings. Cooperating NOAA offices selected the sites in consultation with the US Geological Survey and other interested parties. Since their initial establishment, NDBC has relocated some stations to improve data availability by reducing the risks of vessel collision, extreme winds, seas, and currents. NDBC completed the network in March 2008. During the expansion of the NOAA network, NDBC assisted several countries in the deploying and distributing data from their own DART II tsunameters. NDBC completed the upgraded of all stations to the DART II systems by the end of 2007. The significant capability fielded by the DART II technology was the bi-directional communications between the BPR and the TWCs via the surface buoy. This capability allows the TWCs to set the tsunameters in Event Mode (known as a Manual Trigger) in anticipation of the passage of a tsunami. The TWCs can also retrieve the full-resolution data in one-hour increments directly from the BPR and set the tsunami detection threshold. A further upgrade being fielded in 2009 and 2010 allows the TWCs to interrupt an ongoing Event Mode and restart the Event Mode to extend the rapid reporting period and to identify Manual Triggers from the message identifier rather than from an artificial 100 mm addition to water-column heights. Improvements occurred in data distribution. In 2008, in response to greater participation by the international community in the application of the tsunameter data, NDBC moved towards standardizing its tsunameter data messages and bulletins. Further improvements include evaluation of the use of the Easy-To-Deploy DART systems and autonomous vehicles for rapid mitigation response for failed stations and the development of international standardization of data message formats. Emphasis has been placed on mooring failure analysis and investigations into improving mooring reliability and subsequent data availability.

  18. A Simple Technique for Creating Regional Composites of Sea Surface Temperature from MODIS for Use in Operational Mesoscale NWP

    NASA Technical Reports Server (NTRS)

    Knievel, Jason C.; Rife, Daran L.; Grim, Joseph A.; Hahmann, Andrea N.; Hacker, Joshua P.; Ge, Ming; Fisher, Henry H.

    2010-01-01

    This paper describes a simple technique for creating regional, high-resolution, daytime and nighttime composites of sea surface temperature (SST) for use in operational numerical weather prediction (NWP). The composites are based on observations from NASA s Moderate Resolution Imaging Spectroradiometer (MODIS) aboard Aqua and Terra. The data used typically are available nearly in real time, are applicable anywhere on the globe, and are capable of roughly representing the diurnal cycle in SST. The composites resolution is much higher than that of many other standard SST products used for operational NWP, including the low- and high-resolution Real-Time Global (RTG) analyses. The difference in resolution is key because several studies have shown that highly resolved SSTs are important for driving the air sea interactions that shape patterns of static stability, vertical and horizontal wind shear, and divergence in the planetary boundary layer. The MODIS-based composites are compared to in situ observations from buoys and other platforms operated by the National Data Buoy Center (NDBC) off the coasts of New England, the mid-Atlantic, and Florida. Mean differences, mean absolute differences, and root-mean-square differences between the composites and the NDBC observations are all within tenths of a degree of those calculated between RTG analyses and the NDBC observations. This is true whether or not one accounts for the mean offset between the skin temperatures of the MODIS dataset and the bulk temperatures of the NDBC observations and RTG analyses. Near the coast, the MODIS-based composites tend to agree more with NDBC observations than do the RTG analyses. The opposite is true away from the coast. All of these differences in point-wise comparisons among the SST datasets are small compared to the 61.08C accuracy of the NDBC SST sensors. Because skin-temperature variations from land to water so strongly affect the development and life cycle of the sea breeze, this phenomenon was chosen for demonstrating the use of the MODIS-based composite in an NWP model. A simulated sea breeze in the vicinity of New York City and Long Island shows a small, net, but far from universal improvement when MODIS-based composites are used in place of RTG analyses. The timing of the sea breeze s arrival is more accurate at some stations, and the near-surface temperature, wind, and humidity within the breeze are more realistic.

  19. Using Buoy and Radar Data to Study Sudden Wind Gusts Over Coastal Regions

    NASA Technical Reports Server (NTRS)

    Priftis, Georgios; Chronis, Themis; Lang, Timothy J.

    2017-01-01

    Significant sudden wind gusts can pose a threat to aviation near the coastline, as well as small (sailing) boats and commercial ships approaching the ports. Such cases can result in wind speed changes of more than an order of magnitude within 5 minutes, which can then last up to 20 minutes or more. Although the constellation of scatterometers is a good means of studying maritime convection, those sudden gusts are not easily captured because of the low time resolution. The National Data Buoy Center (NDBC) provides continuous measurements of wind speed and direction along the US coastal regions every 6 minutes. Buoys are platforms placed at specific places on the seas, especially along coastlines, providing data for atmospheric and oceanic studies. Next Generation Radars (NEXRADs), after the recent upgrade of the network to dual-pol systems, offer enhanced capabilities to study atmospheric phenomena. NEXRADs provide continuous full-volume scans approximately every 5 minutes and therefore are close to the time resolution of the buoy measurements. Use of single- Doppler retrievals might also provide a means of further validation.

  20. Project FLOSSIE: Marine Data Stewardship at the Waterline

    NASA Astrophysics Data System (ADS)

    Bouchard, R. H.; Jensen, R. E.; Riley, R. E.

    2016-02-01

    There are more than 10 million wave records from platforms of the National Data Buoy Center (NDBC) that are archived by National Oceanic and Atmospheric Administration (NOAA). A considerable number of these were measured from the 61 NOMAD (Navy Oceanographic Meteorological Automatic Device) hulls that NDBC has used to make wave measurements since October 1979. Many of these measurements were made before the era of modern marine data stewardship. These long records lend themselves to investigations of climate trends and variability either directly by the measurements themselves, or indirectly by validating long-term numerical wave models or remote sensing applications. However studies (e.g., Gemmrich et al. 2011) indicate that discontinuities and increased variability of the measurements can arise from changing wave systems and platforms. The value of these records is undermined by the lack of understanding or documentation of technology changes - a critical component of data stewardship. To support its mission of long-term understanding of coastal waves and wave models, the U.S. Army Corps of Engineers, Coastal Hydraulics Laboratory (CHL) sponsored the FLOSSIE Project to gage the effects of technology changes on the long-term wave measurements from NOMAD hulls. On behalf of CHL, NDBC engineering and operations integrated old, new, and leading edge technologies on one NOMAD hull. The hull was successfully deployed in July 2015 at the Wave Evaluation and Testing area off of Monterey Bay, CA. The area hosts an NDBC 3-m hull with cross-generational-technologies and a reference standard in a Datawell Waverider buoy. Thus cross-generational and cross-platform inter-comparisons can be performed simultaneously to an accepted standard. The analysis goes beyond the bulk wave parameters. The analysis will examine the energy and directional distributions over the frequency range of wind-generated waves. The project is named in honor of the pioneering World War II Naval meteorologist, Commander Florence (Flossie) Van Straten (1913 - 1992), USNR, who coined the acronym for NOMAD. This paper will discuss the goals of the project, present preliminary data results and application to the long-term measurements, and outline the plans incorporating Best Practices of Marine Data Stewardship for the resulting datasets.

  1. Faster from the Depths to Decision: Collecting, Distributing, and Applying Data from NOAA`s Deep-Sea Tsunameters

    NASA Astrophysics Data System (ADS)

    Bouchard, R. H.; Wang, D.; Branski, F.

    2008-05-01

    The National Oceanic and Atmospheric Administration (NOAA) operates two tsunami warning centers (TWCs): the West Coast/Alaska Tsunami Warning Center (ATWC) and Pacific Tsunami Warning Center (PTWC). ATWC provides tsunami alerts to Canadian coastal regions, Virgin Islands, Puerto Rico, and the coasts of continental US and Alaska. PTWC provides local/regional tsunami alerts/advisories to the state of Hawaii. An operational center of the Tsunami Warning System of the Pacific, it provides tsunami alerts to most countries of the Pacific Rim. PTWC also provides tsunami alerts for the Caribbean and Indian Ocean countries on an interim basis. The TWCs aim to issue first tsunami bulletins within 10-15 minutes of the earthquake for tele-tsunamis and within a few minutes for local tsunamis. The TWCs have a requirement for offshore tsunami detection in real-time with a data latency of 1 minute or less. Offshore detection of tsunamis is the purpose of NOAA`s recently completed 39-station array of deep-sea tsunameters. The tsunameters, employing the second-generation DART (Deep-ocean Assessment and Reporting of Tsunamis) technology, can speed tsunami detection information to the TWCs in less than 3 minutes from depths of 6000 meters in the Pacific and Western Atlantic oceans. The tsunameters consist of a Bottom Pressure Recorder (BPR) and a surface buoy. Communication from the BPR to the buoy is via underwater acoustic transmissions. Satellite communications carry the data from the buoy to NOAA`s National Data Buoy Center (NDBC), which operates the tsunameters. The BPRs make pressure measurements, converts them to an equivalent water-column height, and passes them through a tsunami detection algorithm. If the algorithm detects a sufficient change in the height, the tsunameter goes into a rapid reporting mode or Event Mode. The acoustic modem-satellite telecommunications path takes approximately 50 seconds to reach the NDBC server. In a few seconds, NDBC reformats the data and pushes them as messages to the National Weather Service Telecommunications Gateway also known as World Meteorological Organization (WMO) Regional Telecommunication Hub (RTH) Washington. RTH Washington can route more than 50 routine messages per second with reliability for all dissemination to all of its users of 99.9 percent. It provides a latency for high priority traffic of 10 seconds or less and routinely handles 1.2 TB of information per day. Its switching centers are on the Main Trunk Network of the WMO`s Global Telecommunication System (GTS), which provides international distribution of the tsunameter data. The GTS is required to deliver tsunami data and warnings to any connected center within two minutes anywhere in the world. TWCs receive the tsunameter data from RTH Washington via GTS circuits, or download the data from servers at the RTH, in the event the GTS circuits fails. TWCs display the data in real-time in their operations. When a tsunameter goes into Event Mode, the TWCs receive alerts. After subtracting the tide, tsunameter signals can measure tsunamis as small as a few millimeters. The usefulness of the tsunameter data at TWCs was demonstrated in some of the recent events in the Pacific Ocean (Kuril Tsunamis of November 2006 and January 2007, Peru Tsunamis of August 2007 and September 2007) and the Indian Ocean (Southern Sumatra Tsunami of September 2007).

  2. The Early Development and Evolution of the QARTOD for In-Situ Wave Measurements

    NASA Astrophysics Data System (ADS)

    Bouchard, R. H.; Thomas, J.; Teng, C. C.; Burnett, W.; Castel, D.

    2017-12-01

    In 2013 the US Integrated Ocean Observing System (IOOS) Program Office issued manual was for the Real-Time Quality Control of In-Situ Surface Wave Data. This was one of the first Quality Assurance/Quality Control of Real-Time Oceanographic Data (QARTOD) manuals that now cover 11 different in situ measurements. This landmark document was the product of an effort initiated at a 2002 OCEANS.US workshop. The workshop identified and prioritized ocean variables with directional waves ranked as one of the highest key variables for inclusion into a national backbone of observations. The workshop was the impetus that led to the first QARTOD meeting in 2003 that involved over 80 participants and developed minimum standards for real-time observations. Over three more QARTOD meetings, two ad hoc meetings, and many hours of coordination and review involving dozens of wave measurement users and providers, consensus was reached on a list of essential "must Do's" for quality control tests that eventually formed the basis of the manual. The IOOS QARTOD manual established a standard format, provided greater detail, included codeable examples of the algorithms and established a framework for periodic reviews and updates. While the bulk of the quality control procedures originated with those being used by the Coastal Data Information Program (CDIP) and by NOAA's National Data Buoy Center (NDBC), QARTOD also enlisted the expertise of federal, academic, and industry partners. CDIP and NDBC each operated more than 100 wave measuring buoys and had long histories of wave buoy measurements. In addition to buoy measurements, users and providers of fixed and bottom-mounted wave systems were also included. This paper examines the individual contributions, early developments, and the evolution of the QARTOD wave measurement efforts that culminated in the US IOOS manual. These efforts serve as an example of how individuals with a common interest and dedication can achieve results for the common good. Quality control algorithms of value, but not included in the essential list and further quality control advancements outside of the QARTOD will also be reviewed.

  3. Sustaining a Moored Ocean Observing System in the Tropical Pacific: The Evolution of the TAO Array

    NASA Astrophysics Data System (ADS)

    Grissom, K.; Kessler, W. S.; McArthur, S.

    2016-12-01

    The Tropical Atmosphere Ocean (TAO) array has been a major observational component of El Niño Southern Oscillation (ENSO) research and operational climate forecasting since its conception in 1984. Developed by NOAA's Pacific Marine Environmental Laboratory (PMEL) in response to the poorly-observed 1982-1983 El Niño, the moored buoy array was completed in 1994 and transitioned from PMEL to NOAA's National Data Buoy Center (NDBC) in 2005. During this transition, the TAO Refresh project was initiated to address equipment obsolescence and the need for more real-time data. Completed in 2011, the "TAO Refresh" array has new capabilities and added value. Then in 2012, federal resource shortfalls threatened the future sustainability of this array. The resulting limited maintenance caused a decline in real-time data, yet it also served as the impetus to focus international attention on the demands of sustaining an observing system capable of monitoring the tropical ocean-atmosphere interaction. To continue collecting observations at historical levels, NOAA and partners needed an alternate strategy, and to this end conceived the international TPOS 2020 project, the Tropical Pacific Observing System for 2020. At more than 30 years, the TAO array stands as one of the longest sustained in-situ ocean observing networks in the world and provides a rare long-term record of a dominant climate signal. Here we review the evolution of the TAO array, from its development at PMEL, to its transition and modernization at NDBC, and provide a preview of its future as a key element of the Tropical Pacific Observing System.

  4. CMS-Wave Model: Part 3: Grid Nesting and Application Example for Rhode Island South Shore Regional Sediment Management Study

    DTIC Science & Technology

    2010-07-01

    CDIP 154 (NDBC 44097) in 48-m water depth. Figure 5 shows the extent of the regional bathymetry grid and five nested child grids covering the...directional spectra from the nearest offshore buoy ( CDIP 154). The water level along the ocean boundary is from the Le Provost database. In the

  5. Low-Frequency Current Variability Observed at the Shelfbreak in the Northeastern Gulf of Mexico: November 2004-May 2005

    DTIC Science & Technology

    2007-10-22

    lines LI-L. NDBC buoy 42040 is indicated by the triangle . Table I Mooring summary M LAT LON Start day End day dt Zl zn d: Bottom Type 2004 2005 I...to the Bermuda High, but in curl. Furthermore, they show reasonable correspondence winter, the wind forcing is dominated by the trade winds (presented

  6. Sea Fog Forecasting with Lagrangian Models

    NASA Astrophysics Data System (ADS)

    Lewis, J. M.

    2014-12-01

    In 1913, G. I. Taylor introduced us to a Lagrangian view of sea fog formation. He conducted his study off the coast of Newfoundland in the aftermath of the Titanic disaster. We briefly review Taylor's classic work and then apply these same principles to a case of sea fog formation and dissipation off the coast of California. The resources used in this study consist of: 1) land-based surface and upper-air observations, 2) NDBC (National Data Buoy Center) observations from moored buoys equipped to measure dew point temperature as well as the standard surface observations at sea (wind, sea surface temperature, pressure, and air temperature), 3) satellite observations of cloud, and 4) a one-dimensional (vertically directed) boundary layer model that tracks with the surface air motion and makes use of sophisticated turbulence-radiation parameterizations. Results of the investigation indicate that delicate interplay and interaction between the radiation and turbulence processes makes accurate forecasts of sea fog onset unlikely in the near future. This pessimistic attitude stems from inadequacy of the existing network of observations and uncertainties in modeling dynamical processes within the boundary layer.

  7. Verification and Validation of the Coastal Modeling System. Report 2: CMS-Wave

    DTIC Science & Technology

    2011-12-01

    Figure 44. Offshore bathymetry showing NDBC and CDIP buoy locations. ........................................ 70 Figure 45. CMS-Wave modeling domain...the four measurement stations. During the same time intervals, offshore wave information was available from a Coastal Data Information Program ( CDIP ...were conducted with a grid of 236 × 398 cells with variable cell spacing of 30 to 200 m (see Figure 28). Directional wave spectra from CDIP 036 served

  8. Fetch-Trapping in Hurricane Isabel

    NASA Astrophysics Data System (ADS)

    Pearse, A. J.; Hanson, J. L.

    2005-12-01

    Hurricane Isabel made landfall near Drum Inlet on the Outer Banks of North Carolina on September 18, 2003, and caused extensive monetary and coastal damage. Storm surge and battering waves were a primary cause of damage, as in most hurricanes. Data collected at the US Army Corps of Engineers Field Research Facility (FRF) in Duck, NC, the National Data Buoy Center (NDBC), and the Coastal Data Information Program (CDIP) suggest that the waves generated by Hurricane Isabel were larger and had longer periods than would be suggested by a traditional semi-empirical wave growth model with similar fetch and wind speed values. It is likely that this enhanced growth was due to the trapping of storm waves within the moving fetch of the hurricane. The purpose of this study was to empirically confirm the enhancement and to identify the degree of fetch-trapping that occurred. Directional wave spectra from 577 individual wave records were collected from buoys in three locations: CDIP station 078 in King's Bay, GA, the FRF Waverider in NC, and NDBC Station 44025 off Long Island, NY. A wave partitioning approach was used to isolate the individual swell components from the evolving wave field at each station. A backward raytrace along great-circle routes was employed to identify the intersection of each swell system with the official National Hurricane Center (NHC) Isabel track. This allowed matching each observed swell component with a generation time, storm translation speed, and peak wind speed. Wave period, rather than amplitude, was used in this study because amplitude is significantly affected by the bottom topography whereas period is conserved. Using the identified wind speeds and an average fetch of 200 km (approximated using NOAA wind field charts), the actual waves showed wave period enhancements up to 60% over predictions using the standard wave growth model. A variety of resonance criteria are applied to evaluate fetch trapping in Hurricane Isabel. The most enhanced wave periods were found to occur when the wave group speeds most closely matched the storm translation speeds, strongly suggesting that fetch trapping was an important mechanism for wave growth in Isabel.

  9. Pacific Region Integrated Climatology Information Products (PRICIP) Derived-data Products

    NASA Astrophysics Data System (ADS)

    Marra, J. J.

    2008-12-01

    The National Oceanic and Atmospheric Administration (NOAA) Integrated Data and Environmental Applications (IDEA) Center has initiated the Pacific Region Integrated Climatology Information Products (PRICIP) project to improve our understanding of patterns and trends of storm frequency and intensity - 'storminess'- within the Pacific region and develop a suite of integrated data and information products. Strong winds, heavy rains, and high seas theme-specific data integration and product development teams have been formed to carry out this work. These teams are comprised of recognized agency and university- based experts in the area of climate-related processes that govern storminess. They include representatives from NOAA's National Climatic Data Center (NCDC), Center for Operational Products and Services (CO-OPS), and National Weather Service (NWS), as well as the University of Hawai'i, University of Alaska, University of Guam, and Oregon State University. Each team is developing regional climatological overviews, identifying corresponding extremes indices, establishing data treatment and analysis protocols, and conducting analyses to establish baseline statistics, long term trends, patterns of variability, and event return recurrence intervals via Generalized Extreme Value (GEV) analyses. Preliminary results of these analyses can be viewed via a beta-version of a Google map- based query utility (http://www.pricip.org/ddp.php ). Data sources for these analyses include NOAA's Integrated Surface Hourly (ISH) mean sea level pressure and wind speed data; the Global Historical Climate Network (GHCN) precipitation dataset; the National Water Level Observing Network (NWLON) sea level station records; the National Data Buoy Center (NDBC) wave buoy records; the U.S. Army Corps of Engineers" Coastal Data Information (CDIP) buoy data, and other data. The northern and central north Pacific, which includes Alaska, the Pacific Northwest, and Hawai'i, have been targeted as initial priority areas. It is envisioned that the results of this effort will be used by emergency managers, mitigation planners, government agencies and decision-makers in key sectors including water and natural resource management, agriculture and fisheries, transportation and communication, and recreation and tourism.

  10. Comprehensive Condition Survey and Storm Waves, Circulation, and Sedimentation Study, Dana Point Harbor, California

    DTIC Science & Technology

    2011-07-01

    Tide on January 5, 2010 Figure 3-1 CMS-Wave Model Domain and Grid System Figure 3-2 CDIP 096 Wave and NOAA 9410660 Water Levels Figure 3-3 NDBC...Figure 3-10 Scatter plot of Observed CDIP and Hindcast Significant Wave Heights Figure 3-11 Comparison of Significant Wave Heights during the Month...obtained from the Coastal Data Information Program ( CDIP ) at Dana Point (Buoy 096) as well as the predicted tides at Newport Beach, CA (Station 9410580

  11. CMS-Wave: A Nearshore Spectral Wave Processes Model for Coastal Inlets and Navigation Projects

    DTIC Science & Technology

    2008-08-01

    Grays Harbor .......................................................101 Figure 84. Wind and wave data from NDBC 46029 and CDIP 036, 20-31 December...During the same time intervals, offshore wave information is available from a Coastal Data Information Program ( CDIP ) Buoy 036 (46°51.39’N, 124...size of 30 m × 30 m (Figure 83). Directional wave spectra from CDIP 036 served as the input, discretized in 30 frequency bins (0.04 to 0.33 Hz with

  12. Long Term Autonomous Ocean Remote Sensing Utilizing the Wave Glider

    NASA Astrophysics Data System (ADS)

    Griffith, J.

    2012-12-01

    Rising costs of ship time and increasing budgetary restrictions make installation and maintenance of fixed ocean buoys a logistical and financial challenge. The cost associated with launch, recovery, and maintenance has resulted in a limited number of deployed buoys, restricting data on oceanic conditions. To address these challenges, Liquid Robotics (LRI) has developed the Wave Glider, an autonomous, mobile remote sensing solution. This system utilizes wave energy for propulsion allowing for long duration deployments of up to one year while providing real-time data on meteorological and oceanographic conditions. In November 2011, LRI deployed four Wave Gliders on a mission to cross the Pacific Ocean (the PacX) from San Francisco to Australia (two vehicles) or Japan (two vehicles) while transmitting data on weather conditions, wave profiles, sea surface temperatures, and biological conditions in real-time. This report evaluates the vehicle's ability to operate as an ocean going data platform by comparing data from the onboard weather sensors with two moored buoys, NDBC 46092 (Monterey Bay) and NDBC 51000 (200 nmi NE of Maui). The report also analyzes data transmitted from all four vehicles as they passed directly through a tropical storm 580 nmi NE of Hawaii. Upon arriving at one of the aforementioned buoys, the gliders continuously circled for a period of two days at a distance of three to eight nautical miles to build a comparative dataset. Data from both platforms were streamed in near real time enabling mid-mission evaluation of the performance of sensors. Overall, results varied from a <0.5% difference in barometric pressure between buoy NDBC 46092 and the gliders to high disagreement in wind speed and direction. While comparisons to moored buoy data can provide valuable insight into the relative accuracy of each platform, differences in agreement on variables such as wind speed and direction were attributed to micro-spatial variability in oceanic conditions. In addition, all four PacX vehicles collected data from directly within a tropical storm off the coast of Hawaii. Starting on February 5th, 2012, the vehicles measured sustained winds of 40 knots for 4 days with gusts up to 80 knots at the height of the storm. The vehicles also measured sustained wave heights of 7m along with a barometric pressure drop to a low of 985 mbar. A pressure between 965 and 979 mbar is comparable to a category two hurricane while the measured wind speed falls within the range of a tropical storm on the SSHS. The wind data compares favorably to satellite imagery from the ASCAT satellite data of the same storm but with much higher spatial resolution. In conclusion, the Pacific crossing has provided solid evidence that the Wave Glider would provide a suitable and highly efficient platform for the observation of sea surface and lower atmospheric conditions over extended sampling periods. The system could be used to quickly and efficiently increase the operational density of ocean observations without the need for expensive deployment and recovery vessels. In future studies, data from the PacX will be compared with additional satellite and oceanic data sources to provide ground truthing of collected oceanographic data. In addition, two Wave Gliders will be deployed from Puerto Rico to monitor storm conditions from directly within a hurricane.

  13. SAR observation and model tracking of an oil spill event in coastal waters.

    PubMed

    Cheng, Yongcun; Li, Xiaofeng; Xu, Qing; Garcia-Pineda, Oscar; Andersen, Ole Baltazar; Pichel, William G

    2011-02-01

    Oil spills are a major contributor to marine pollution. The objective of this work is to simulate the oil spill trajectory of oil released from a pipeline leaking in the Gulf of Mexico with the GNOME (General NOAA Operational Modeling Environment) model. The model was developed by NOAA (National Oceanic and Atmospheric Administration) to investigate the effects of different pollutants and environmental conditions on trajectory results. Also, a Texture-Classifying Neural Network Algorithm (TCNNA) was used to delineate ocean oil slicks from synthetic aperture radar (SAR) observations. During the simulation, ocean currents from NCOM (Navy Coastal Ocean Model) outputs and surface wind data measured by an NDBC (National Data Buoy Center) buoy are used to drive the GNOME model. The results show good agreement between the simulated trajectory of the oil spill and synchronous observations from the European ENVISAT ASAR (Advanced Synthetic Aperture Radar) and the Japanese ALOS (Advanced Land Observing Satellite) PALSAR (Phased Array L-band Synthetic Aperture Radar) images. Based on experience with past marine oil spills, about 63.0% of the oil will float and 18.5% of the oil will evaporate and disperse. In addition, the effects from uncertainty of ocean currents and the diffusion coefficient on the trajectory results are also studied. Copyright © 2010 Elsevier Ltd. All rights reserved.

  14. Wave spectral energy variability in the northeast Pacific

    USGS Publications Warehouse

    Bromirski, P.D.; Cayan, D.R.; Flick, R.E.

    2005-01-01

    The dominant characteristics of wave energy variability in the eastern North Pacific are described from NOAA National Data Buoy Center (NDBC) buoy data collected from 1981 to 2003. Ten buoys at distributed locations were selected for comparison based on record duration and data continuity. Long-period (LP) [T > 12] s, intermediate-period [6 ??? T ??? 12] s, and short-period [T < 6] s wave spectral energy components are considered separately. Empirical orthogonal function (EOF) analyses of monthly wave energy anomalies reveal that all three wave energy components exhibit similar patterns of spatial variability. The dominant mode represents coherent heightened (or diminished) wave energy along the West Coast from Alaska to southern California, as indicated by composites of the 700 hPa height field. The second EOF mode reveals a distinct El Nin??o-Southern Oscillation (ENSO)-associated spatial distribution of wave energy, which occurs when the North Pacific storm track is extended unusually far south or has receded to the north. Monthly means and principal components (PCs) of wave energy levels indicate that the 1997-1998 El Nin??o winter had the highest basin-wide wave energy within this record, substantially higher than the 1982-1983 El Nin??o. An increasing trend in the dominant PC of LP wave energy suggests that storminess has increased in the northeast Pacific since 1980. This trend is emphasized at central eastern North Pacific locations. Patterns of storminess variability are consistent with increasing activity in the central North Pacific as well as the tendency for more extreme waves in the south during El Nin??o episodes and in the north during La Nin??a. Copyright 2005 by the American Geophysical Union.

  15. Brief Communication: Is there a wind connection to freaque wave occurrences?

    NASA Astrophysics Data System (ADS)

    Liu, P. C.; Bouchard, R.; Rogers, W. E.; Babanin, A. V.; Wang, D. W.

    2015-01-01

    There was a recent freaque wave encounter near Scituate, Massachusetts by a local transport ferry en route from Provincetown to Boston. The encounter resulted in minimal damages, fortunately, and provided us a chance to examine a possible connection between the freaque wave occurrence and the ambient wind field, since the place of encounter was in the vicinity of a NOAA NDBC buoy where wind and wave data were recorded. Here we present a brief analysis. In particular, we found it is plausible that the freaque wave was the result of a wind speed reduction in the wind field that preceded its occurrence.

  16. Interoperable Data Access Services for NOAA IOOS

    NASA Astrophysics Data System (ADS)

    de La Beaujardiere, J.

    2008-12-01

    The Integrated Ocean Observing System (IOOS) is intended to enhance our ability to collect, deliver, and use ocean information. The goal is to support research and decision-making by providing data on our open oceans, coastal waters, and Great Lakes in the formats, rates, and scales required by scientists, managers, businesses, governments, and the public. The US National Oceanic and Atmospheric Administration (NOAA) is the lead agency for IOOS. NOAA's IOOS office supports the development of regional coastal observing capability and promotes data management efforts to increase data accessibility. Geospatial web services have been established at NOAA data providers including the National Data Buoy Center (NDBC), the Center for Operational Oceanographic Products and Services (CO-OPS), and CoastWatch, and at regional data provider sites. Services established include Open-source Project for a Network Data Access Protocol (OpenDAP), Open Geospatial Consortium (OGC) Sensor Observation Service (SOS), and OGC Web Coverage Service (WCS). These services provide integrated access to data holdings that have been aggregated at each center from multiple sources. We wish to collaborate with other groups to improve our service offerings to maximize interoperability and enhance cross-provider data integration, and to share common service components such as registries, catalogs, data conversion, and gateways. This paper will discuss the current status of NOAA's IOOS efforts and possible next steps.

  17. Statistical downscaling of IPCC sea surface wind and wind energy predictions for U.S. east coastal ocean, Gulf of Mexico and Caribbean Sea

    NASA Astrophysics Data System (ADS)

    Yao, Zhigang; Xue, Zuo; He, Ruoying; Bao, Xianwen; Song, Jun

    2016-08-01

    A multivariate statistical downscaling method is developed to produce regional, high-resolution, coastal surface wind fields based on the IPCC global model predictions for the U.S. east coastal ocean, the Gulf of Mexico (GOM), and the Caribbean Sea. The statistical relationship is built upon linear regressions between the empirical orthogonal function (EOF) spaces of a cross- calibrated, multi-platform, multi-instrument ocean surface wind velocity dataset (predictand) and the global NCEP wind reanalysis (predictor) over a 10 year period from 2000 to 2009. The statistical relationship is validated before applications and its effectiveness is confirmed by the good agreement between downscaled wind fields based on the NCEP reanalysis and in-situ surface wind measured at 16 National Data Buoy Center (NDBC) buoys in the U.S. east coastal ocean and the GOM during 1992-1999. The predictand-predictor relationship is applied to IPCC GFDL model output (2.0°×2.5°) of downscaled coastal wind at 0.25°×0.25° resolution. The temporal and spatial variability of future predicted wind speeds and wind energy potential over the study region are further quantified. It is shown that wind speed and power would significantly be reduced in the high CO2 climate scenario offshore of the mid-Atlantic and northeast U.S., with the speed falling to one quarter of its original value.

  18. Numerical simulations and observations of surface wave fields under an extreme tropical cyclone

    USGS Publications Warehouse

    Fan, Y.; Ginis, I.; Hara, T.; Wright, C.W.; Walsh, E.J.

    2009-01-01

    The performance of the wave model WAVEWATCH III under a very strong, category 5, tropical cyclone wind forcing is investigated with different drag coefficient parameterizations and ocean current inputs. The model results are compared with field observations of the surface wave spectra from an airborne scanning radar altimeter, National Data Buoy Center (NDBC) time series, and satellite altimeter measurements in Hurricane Ivan (2004). The results suggest that the model with the original drag coefficient parameterization tends to overestimate the significant wave height and the dominant wavelength and produces a wave spectrum with narrower directional spreading. When an improved drag parameterization is introduced and the wave-current interaction is included, the model yields an improved forecast of significant wave height, but underestimates the dominant wavelength. When the hurricane moves over a preexisting mesoscale ocean feature, such as the Loop Current in the Gulf of Mexico or a warm-and cold-core ring, the current associated with the feature can accelerate or decelerate the wave propagation and significantly modulate the wave spectrum. ?? 2009 American Meteorological Society.

  19. Challenges and Alternatives in Tsunami Water Levels Processing in NOAA/NCEI-CO Global Water-Level Data Repository

    NASA Astrophysics Data System (ADS)

    Mungov, G.; Dunbar, P. K.; Stroker, K. J.; Sweeney, A.

    2016-12-01

    The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information is data repository for high-resolution, integrated water-level data to support tsunami research, risk assessment and mitigation to protect life and property damages along the coasts. NCEI responsibilities include, but are not limited to process, archiv and distribut and coastal water level data from different sourcesg tsunami and storm-surge inundation, sea-level change, climate variability, etc. High-resolution data for global historical tsunami events are collected by the Deep-ocean Assessment and Reporting of Tsunami (DART®) tsunameter network maintained by NOAA's National Data Buoy Center NDBC, coastal tide-gauges maintained by NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) and Tsunami Warning Centers, historic marigrams and images, bathymetric data, and from other national and international sources. NCEI-CO water level database is developed in close collaboration with all data providers along with NOAA's Pacific Marine Environmental Laboratory. We outline here the present state in water-level data processing regarding the increasing needs for high-precision, homogeneous and "clean" tsunami records from data different sources and different sampling interval. Two tidal models are compared: the Mike Foreman's improved oceanographic model (2009) and the Akaike Bayesian Information Criterion approach applied by Tamura et al. (1991). The effects of filtering and the limits of its application are also discussed along with the used method for de-spiking the raw time series.

  20. Estimation of wind stress using dual-frequency TOPEX data

    NASA Astrophysics Data System (ADS)

    Elfouhaily, Tanos; Vandemark, Douglas; Gourrion, Jéro‸me; Chapron, Bertrand

    1998-10-01

    The TOPEX/POSEIDON satellite carries the first dual-frequency radar altimeter. Monofrequency (Ku-band) algorithms are presently used to retrieve surface wind speed from the altimeter's radar cross-section measurement (σ0Ku). These algorithms work reasonably well, but it is also known that altimeter wind estimates can be contaminated by residual effects, such as sea state, embedded in the σ0Ku measurement. Investigating the potential benefit of using two frequencies for wind retrieval, it is shown that a simple evaluation of TOPEX data yields previously unavailable information, particularly for high and low wind speeds. As the wind speed increases, the dual-frequency data provides a measurement more directly linked to the short-scale surface roughness, which in turn is associated with the local surface wind stress. Using a global TOPEX σ0° data set and TOPEX's significant wave height (Hs) estimate as a surrogate for the sea state's degree of development, it is also shown that differences between the two TOPEX σ0 measurements strongly evidence nonlocal sea state signature. A composite scattering theory is used to show how the dual-frequency data can provide an improved friction velocity model, especially for winds above 7 m/s. A wind speed conversion is included using a sea state dependent drag coefficient fed with TOPEX Hs data. Two colocated TOPEX-buoy data sets (from the National Data Buoy Center (NDBC) and the Structure des Echanges Mer-Atmosphre, Proprietes des Heterogeneites Oceaniques: Recherche Expérimentale (SEMAPHORE) campaign) are employed to test the new wind speed algorithm. A measurable improvement in wind speed estimation is obtained when compared to the monofrequency Witter and Chelton [1991] model.

  1. The effects of sea spray and atmosphere-wave coupling on air-sea exchange during a tropical cyclone

    NASA Astrophysics Data System (ADS)

    Garg, Nikhil; Kwee Ng, Eddie Yin; Narasimalu, Srikanth

    2018-04-01

    The study investigates the role of the air-sea interface using numerical simulations of Hurricane Arthur (2014) in the Atlantic. More specifically, the present study aims to discern the role ocean surface waves and sea spray play in modulating the intensity and structure of a tropical cyclone (TC). To investigate the effects of ocean surface waves and sea spray, numerical simulations were carried out using a coupled atmosphere-wave model, whereby a sea spray microphysical model was incorporated within the coupled model. Furthermore, this study also explores how sea spray generation can be modelled using wave energy dissipation due to whitecaps; whitecaps are considered as the primary mode of spray droplets generation at hurricane intensity wind speeds. Three different numerical simulations including the sea- state-dependent momentum flux, the sea-spray-mediated heat flux, and a combination of the former two processes with the sea-spray-mediated momentum flux were conducted. The foregoing numerical simulations were evaluated against the National Data Buoy Center (NDBC) buoy and satellite altimeter measurements as well as a control simulation using an uncoupled atmosphere model. The results indicate that the model simulations were able to capture the storm track and intensity: the surface wave coupling results in a stronger TC. Moreover, it is also noted that when only spray-mediated heat fluxes are applied in conjunction with the sea-state-dependent momentum flux, they result in a slightly weaker TC, albeit stronger compared to the control simulation. However, when a spray-mediated momentum flux is applied together with spray heat fluxes, it results in a comparably stronger TC. The results presented here allude to the role surface friction plays in the intensification of a TC.

  2. Assessment of Wind Datasets for Estimating Offshore Wind Energy along the Central California Coast

    NASA Astrophysics Data System (ADS)

    Wang, Y. H.; Walter, R. K.; Ruttenberg, B.; White, C.

    2017-12-01

    Offshore renewable energy along the central California coastline has gained significant interest in recent years. We present a comprehensive analysis of near-surface wind datasets available in this region to facilitate future estimates of wind power generation potential. The analyses are based on local NDBC buoys, satellite-based measurements (QuickSCAT and CCMP V2.0), reanalysis products (NARR and MERRA), and a regional climate model (WRF). There are substantial differences in the diurnal signal during different months among the various products (i.e., satellite-based, reanalysis, and modeled) relative to the local buoys. Moreover, the datasets tended to underestimate wind speed under light wind conditions and overestimate under strong wind conditions. In addition to point-to-point comparisons against local buoys, the spatial variations of bias and error in both the reanalysis products and WRF model data in this region were compared against satellite-based measurements. NARR's bias and root-mean-square-error were generally small in the study domain and decreased with distance from coastlines. Although its smaller spatial resolution is likely to be insufficient to reveal local effects, the small bias and error in near-surface winds, as well as the availability of wind data at the proposed turbine hub heights, suggests that NARR is an ideal candidate for use in offshore wind energy production estimates along the central California coast. The framework utilized here could be applied in other site-specific regions where offshore renewable energy is being considered.

  3. Water level ingest, archive and processing system - an integral part of NOAA's tsunami database

    NASA Astrophysics Data System (ADS)

    McLean, S. J.; Mungov, G.; Dunbar, P. K.; Price, D. J.; Mccullough, H.

    2013-12-01

    The National Oceanic and Atmospheric Administration (NOAA), National Geophysical Data Center (NGDC) and collocated World Data Service for Geophysics (WDS) provides long-term archive, data management, and access to national and global tsunami data. Archive responsibilities include the NOAA Global Historical Tsunami event and runup database, damage photos, as well as other related hazards data. Beginning in 2008, NGDC was given the responsibility of archiving, processing and distributing all tsunami and hazards-related water level data collected from NOAA observational networks in a coordinated and consistent manner. These data include the Deep-ocean Assessment and Reporting of Tsunami (DART) data provided by the National Data Buoy Center (NDBC), coastal-tide-gauge data from the National Ocean Service (NOS) network and tide-gauge data from the two National Weather Service (NWS) Tsunami Warning Centers (TWCs) regional networks. Taken together, this integrated archive supports tsunami forecast, warning, research, mitigation and education efforts of NOAA and the Nation. Due to the variety of the water level data, the automatic ingest system was redesigned, along with upgrading the inventory, archive and delivery capabilities based on modern digital data archiving practices. The data processing system was also upgraded and redesigned focusing on data quality assessment in an operational manner. This poster focuses on data availability highlighting the automation of all steps of data ingest, archive, processing and distribution. Examples are given from recent events such as the October 2012 hurricane Sandy, the Feb 06, 2013 Solomon Islands tsunami, and the June 13, 2013 meteotsunami along the U.S. East Coast.

  4. NDBC Tropical Atmosphere Ocean (TAO)

    Science.gov Websites

    to go to the NWS homepage Left navigation bar Home News Organization Search NDBC web site search TAO Tour FAQ NDBC Home Contact Us USA.gov is the U.S. government's official web portal to all federal , state and local government web resources and services. Recent Data Observations Search TAO DART Tropical

  5. Effect of Geomagnetic Storms on Ocean-Atmospheric Interactions over the Gulf of Mexico

    NASA Astrophysics Data System (ADS)

    Reddy, S.; Karim, R.

    There is accumulated evidence from recent past literature to show the possible relation between solar and geomagnetic activity, and meteorological parameters (Pittock, 1978; Reddy et.al. 1979; Bhalme et.al. 1979; Reddy and Karim, 2003). Not many studies have been reported on the relationship between geomagnetic activity and terrestrial weather including ocean-atmospheric interactions that have significant impacts over the large-scale atmospheric circulations. Between the ocean surface and the atmosphere, there is an exchange of heat and moisture that depend in part, on temperature differences between water and air. In winter, when air-water temperature contrasts are greatest, there is a substantial transfer of sensible and latent heat from the ocean surface into the atmosphere. This energy helps to maintain the global airflow. Previous studies (Reddy and Miller, 1997; Reddy et.al. 1998, 1999) have established the relationship between ocean-atmospheric interactions and tropical cyclones/hurricanes over the Gulf of Mexico. In the present study, we investigate the relationship between Geomagnetic Storms and ocean-atmospheric interactions including heat, momentum and moisture fluxes over the Gulf of Mexico during the winter (December to February) for the period, 2001-2003.The data used in this study include, (i) Geomagnetic storms, and (ii) Buoy data (sea surface temperature, air temperature, sea level pressure and wind speed) obtained from National Data Buoy Center (NDBC). The fluxes were computed using standard bulk formulae. The statistical techniques used for data analysis include superposed epoch analysis and student test .The result of the study has pointed out a significant increase in the fluxes 1-3 days after the storm occurrence. The effect of these fluxes on Gulf coast weather is noticed. The study is important for further understanding the climate variability of large-scale circulations including ElNino/Southern Oscillation (ENSO). The results and the possible physical mechanisms for the observed relationships will be presented and discussed. NOAA/Howard University NCAS Grant supports the work

  6. Sediment Transport Modeling and Application for Ocean Beach and San Francisco Bight, CA

    DTIC Science & Technology

    2011-01-01

    NDBC, http://www.ndbc.noaa.gov) and Coastal Data Information Program ( CDIP , http://cdip.ucsd.edu), respectively (Figures 3). Figure 5 shows wave...data at NDBC 46013 and CDIP 142 in January 2010. With passages of winter storms from south and southwest in the study area, the peak wave height and

  7. NDBC DART® Program

    Science.gov Websites

    Click to go to NDBC home page Select to go to the NWS homepage Home About Us Contact Us Search NDBC Web link to RSS feed access page Web Widget Email Access Web Data Guide Maintenance Schedule Station Status Information USA.gov is the U.S. government's official web portal to all federal, state and local government

  8. A Tale of Two Observing Systems: Interoperability in the World of Microsoft Windows

    NASA Astrophysics Data System (ADS)

    Babin, B. L.; Hu, L.

    2008-12-01

    Louisiana Universities Marine Consortium's (LUMCON) and Dauphin Island Sea Lab's (DISL) Environmental Monitoring System provide a unified coastal ocean observing system. These two systems are mirrored to maintain autonomy while offering an integrated data sharing environment. Both systems collect data via Campbell Scientific Data loggers, store the data in Microsoft SQL servers, and disseminate the data in real- time on the World Wide Web via Microsoft Internet Information Servers and Active Server Pages (ASP). The utilization of Microsoft Windows technologies presented many challenges to these observing systems as open source tools for interoperability grow. The current open source tools often require the installation of additional software. In order to make data available through common standards formats, "home grown" software has been developed. One example of this is the development of software to generate xml files for transmission to the National Data Buoy Center (NDBC). OOSTethys partners develop, test and implement easy-to-use, open-source, OGC-compliant software., and have created a working prototype of networked, semantically interoperable, real-time data systems. Partnering with OOSTethys, we are developing a cookbook to implement OGC web services. The implementation will be written in ASP, will run in a Microsoft operating system environment, and will serve data via Sensor Observation Services (SOS). This cookbook will give observing systems running Microsoft Windows the tools to easily participate in the Open Geospatial Consortium (OGC) Oceans Interoperability Experiment (OCEANS IE).

  9. Approaches to quantifying long-term continental shelf sediment transport with an example from the Northern California STRESS mid-shelf site

    NASA Astrophysics Data System (ADS)

    Harris, Courtney K.; Wiberg, Patricia L.

    1997-09-01

    Modeling shelf sediment transport rates and bed reworking depths is problematic when the wave and current forcing conditions are not precisely known, as is usually the case when long-term sedimentation patterns are of interest. Two approaches to modeling sediment transport under such circumstances are considered. The first relies on measured or simulated time series of flow conditions to drive model calculations. The second approach uses as model input probability distribution functions of bottom boundary layer flow conditions developed from wave and current measurements. Sediment transport rates, frequency of bed resuspension by waves and currents, and bed reworking calculated using the two methods are compared at the mid-shelf STRESS (Sediment TRansport on Shelves and Slopes) site on the northern California continental shelf. Current, wave and resuspension measurements at the site are used to generate model inputs and test model results. An 11-year record of bottom wave orbital velocity, calculated from surface wave spectra measured by the National Data Buoy Center (NDBC) Buoy 46013 and verified against bottom tripod measurements, is used to characterize the frequency and duration of wave-driven transport events and to estimate the joint probability distribution of wave orbital velocity and period. A 109-day record of hourly current measurements 10 m above bottom is used to estimate the probability distribution of bottom boundary layer current velocity at this site and to develop an auto-regressive model to simulate current velocities for times when direct measurements of currents are not available. Frequency of transport, the maximum volume of suspended sediment, and average flux calculated using measured wave and simulated current time series agree well with values calculated using measured time series. A probabilistic approach is more amenable to calculations over time scales longer than existing wave records, but it tends to underestimate net transport because it does not capture the episodic nature of transport events. Both methods enable estimates to be made of the uncertainty in transport quantities that arise from an incomplete knowledge of the specific timing of wave and current conditions. 1997 Elsevier Science Ltd

  10. A Data Management Framework for Real-Time Water Quality Monitoring

    NASA Astrophysics Data System (ADS)

    Mulyono, E.; Yang, D.; Craig, M.

    2007-12-01

    CSU East Bay operates two in-situ, near-real-time water quality monitoring stations in San Francisco Bay as a member of the Center for Integrative Coastal Ocean Observation, Research, and Education (CICORE) and the Central and Northern California Ocean Observing System (CeNCOOS). We have been operating stations at Dumbarton Pier and San Leandro Marina for the past two years. At each station, a sonde measures seven water quality parameters every six minutes. During the first year of operation, we retrieved data from the sondes every few weeks by visiting the sites and uploading data to a handheld logger. Last year we implemented a telemetry system utilizing a cellular CDMA modem to transfer data from the field to our data center on an hourly basis. Data from each station are initially stored in monthly files in native format. We import data from these files into a SQL database every hour. SQL is handled by Django, an open source web framework. Django provides a user- friendly web user interface (UI) to administer the data. We utilized parts of the Django UI for our database web- front, which allows users to access our database via the World Wide Web and perform basic queries. We also serve our data to other aggregating sites, including the central CICORE website and NOAA's National Data Buoy Center (NDBC). Since Django is written in Python, it allows us to integrate other Python modules into our software, such as the Matplot library for scientific graphics. We store our code in a Subversion repository, which keeps track of software revisions. Code is tested using Python's unittest and doctest modules within Django's testing facility, which warns us when our code modifications cause other parts of the software to break. During the past two years of data acquisition, we have incrementally updated our data model to accommodate changes in physical hardware, including equipment moves, instrument replacements, and sensor upgrades that affected data format.

  11. High-Resolution Measurement of Beach Morphological Response to Hurricane-Induced Wave Dynamics

    NASA Astrophysics Data System (ADS)

    Starek, M.; Slatton, K. C.; Adams, P.

    2005-12-01

    During the Atlantic hurricane season of 2004, the Florida Pan Handle, Gulf Coast region, was impacted directly by three major hurricanes within approximately a one-month time period. The short temporal span between impacts coupled with the sudden increase in wave energy delivered to the coast resulted in drastic changes to the coastal morphology. The purpose of this study was to investigate the direct effects of deep-water wave climate and energy setups induced by the hurricanes and relate those processes to the observed change in shoreline morphology. The availability of research-grade Airborne Laser Swath Mapping (ALSM) altimetry data, often referred to as Light Detection and Ranging (LiDAR) data, enabled sub-meter spatial sampling of the coastal topography. The ALSM data were acquired by the University of Florida's Geosensing Engineering and Mapping (GEM) Center. Offshore wave measurements were obtained from the NOAA NDBC buoy network for the Gulf Coast region. The ALSM data acquired shortly before and after the three major hurricane landfalls near the Phillips Inlet barrier island region of Bay County, Florida, were used to calculate changes in the shoreline position and identify regions of erosion and deposition. Time series data of offshore wave height, period, and direction were transformed, through shoaling and refraction calculations, to nearshore wave conditions which were correlated to observed changes in beach morphology. Hurricane wave conditions drove severe shoreline retreat on the west-side of the inlet (~15+ meters) but affected the east-side shoreline minimally. The eastern backside of the inlet, however, witnessed a significant volume of washover sediment.

  12. Barrier Island Restoration for Storm Damage Reduction: Willapa Bay, Washington, USA

    DTIC Science & Technology

    2010-07-01

    Harbor Coastal Data Information Program ( CDIP ) 036 buoy located 13 miles northwest of the Entrance are utilized to specify the offshore wave boundary...condition. For the case of the March 3, 1999 storm, there is a gap in the CDIP buoy data; therefore the spectra from the National Data Buoy Center

  13. Ocean surface waves in Hurricane Ike (2008) and Superstorm Sandy (2012): Coupled model predictions and observations

    NASA Astrophysics Data System (ADS)

    Chen, Shuyi S.; Curcic, Milan

    2016-07-01

    Forecasting hurricane impacts of extreme winds and flooding requires accurate prediction of hurricane structure and storm-induced ocean surface waves days in advance. The waves are complex, especially near landfall when the hurricane winds and water depth varies significantly and the surface waves refract, shoal and dissipate. In this study, we examine the spatial structure, magnitude, and directional spectrum of hurricane-induced ocean waves using a high resolution, fully coupled atmosphere-wave-ocean model and observations. The coupled model predictions of ocean surface waves in Hurricane Ike (2008) over the Gulf of Mexico and Superstorm Sandy (2012) in the northeastern Atlantic and coastal region are evaluated with the NDBC buoy and satellite altimeter observations. Although there are characteristics that are general to ocean waves in both hurricanes as documented in previous studies, wave fields in Ike and Sandy possess unique properties due mostly to the distinct wind fields and coastal bathymetry in the two storms. Several processes are found to significantly modulate hurricane surface waves near landfall. First, the phase speed and group velocities decrease as the waves become shorter and steeper in shallow water, effectively increasing surface roughness and wind stress. Second, the bottom-induced refraction acts to turn the waves toward the coast, increasing the misalignment between the wind and waves. Third, as the hurricane translates over land, the left side of the storm center is characterized by offshore winds over very short fetch, which opposes incoming swell. Landfalling hurricanes produce broader wave spectra overall than that of the open ocean. The front-left quadrant is most complex, where the combination of windsea, swell propagating against the wind, increasing wind-wave stress, and interaction with the coastal topography requires a fully coupled model to meet these challenges in hurricane wave and surge prediction.

  14. A Study of Oceans and Atmospheric Interactions Associated with Tropical Cyclone Activity using Earth Observing Technology

    NASA Astrophysics Data System (ADS)

    Abdullah, Warith; Reddy, Remata

    From October 22nd to 30th, 2012 Hurricane Sandy was a huge storm of many abnormalities causing an estimated 50 billion dollars in damage. Tropical storm development states systems’ energy as product of warm sea surface temperatures (SST’s) and tropical cyclone heat potential (TCHP). Advances in Earth Observing (EO) technology, remote sensing and proxy remote sensing have allowed for accurate measurements of SST and TCHP information. In this study, we investigated rapid intensification of Sandy through EO applications for precipitable water vapor (PWAT), SST’s and TCHP during the period of October 27th. These data were obtained from NASA and NOAA satellites and NOAA National Buoy data center (NDBC). The Sensible Heat (Qs) fluxes were computed to determine available energy resulting from ocean-atmosphere interface. Buoy 41010, 120 NM east of Cape Canaveral at 0850 UTC measured 22.3 °C atmospheric temperatures and 27 °C SST, an interface of 4.7 °C. Sensible heat equation computed fluxes of 43.7 W/m2 at 982.0 mb central pressure. Sandy formed as late-season storm and near-surface air temperatures averaged > 21 °C according to NOAA/ESRL NCEP/NCAR reanalysis at 1000 mb and GOES 13 (EAST) geostationary water vapor imagery shows approaching cold front during October 27th. Sandy encountered massive dry air intrusion to S, SE and E quadrants of storm while travelling up U.S east coast but experienced no weakening. Cool, dry air intrusion was considered for PWAT investigation from closest sounding station during Oct. 27th 0900 - 2100 UTC at Charleston, SC station 72208. Measured PWAT totaled 42.97 mm, indicating large energy potential supply to the storm. The Gulf Stream was observed using NASA Short-term Prediction Research and Transition Center (SPoRT) MODIS SST analysis. The results show 5 °C warmer above average than surrounding cooler water, with > 25 °C water extent approximately 400 NM east of Chesapeake Bay and eddies > 26 °C. Results from sensible heat computations for atmospheric interface suggests unusual warmth associated with Gulf Stream current, such that it provided Sandy with enough kinetic energy to intensify at high latitude. The study further suggests that energy gained from Caribbean TCHP and Gulf Stream SST’s were largely retained by Sandy upon losing tropical-cyclone characteristics and merging with strong cold front and polar jet stream. Storms of Sandy’s magnitude and unusual source of energy resulting from Gulf Stream may indicate a building average for tropical cyclone development and intensity for North Atlantic, particularly as the GOM waters continue to warm on seasonal averages.

  15. Coordination and Data Management of the International Arctic Buoy Programme (IABP)

    DTIC Science & Technology

    1998-01-01

    estimate the mean surface wind, which can drive sea ice models , and for input into climate change studies. Recent research using the IABP databases includes...Coordination and Data Management of the International Arctic Buoy Programme ( IABP ) Ignatius G. Rigor Polar Science Center, Applied Physics Laboratory...the National Center for Environmental Projection underlayed. APPROACH Coordination of the IABP involves distribution of information, resource

  16. Tsunami Detection Systems for International Requirements

    NASA Astrophysics Data System (ADS)

    Lawson, R. A.

    2007-12-01

    Results are presented regarding the first commercially available, fully operational, tsunami detection system to have passed stringent U.S. government testing requirements and to have successfully demonstrated its ability to detect an actual tsunami at sea. Spurred by the devastation of the December 26, 2004, Indian Ocean tsunami that killed more than 230,000 people, the private sector actively supported the Intergovernmental Oceanographic Commission's (IOC"s) efforts to develop a tsunami warning system and mitigation plan for the Indian Ocean region. As each country in the region developed its requirements, SAIC recognized that many of these underdeveloped countries would need significant technical assistance to fully execute their plans. With the original focus on data fusion, consequence assessment tools, and warning center architecture, it was quickly realized that the cornerstone of any tsunami warning system would be reliable tsunami detection buoys that could meet very stringent operational standards. Our goal was to leverage extensive experience in underwater surveillance and oceanographic sensing to produce an enhanced and reliable deep water sensor that could meet emerging international requirements. Like the NOAA Deep-ocean Assessment and Recording of Tsunamis (DART TM ) buoy, the SAIC Tsunami Buoy (STB) system consists of three subsystems: a surfaccommunications buoy subsystem, a bottom pressure recorder subsystem, and a buoy mooring subsystem. With the operational success that DART has demonstrated, SAIC decided to build and test to the same high standards. The tsunami detection buoy system measures small changes in the depth of the deep ocean caused by tsunami waves as they propagate past the sensor. This is accomplished by using an extremely sensitive bottom pressure sensor/recorder to measure very small changes in pressure as the waves move past the buoy system. The bottom pressure recorder component includes a processor with algorithms that recognize these characteristics, and then immediately alerts a tsunami warning center through the communications buoy when the processor senses one of these waves. In addition to the tsunami detection buoy system, an end-to-end tsunami warning system was developed that builds upon the country's existing disaster warning infrastructure. This warning system includes 1) components that receive, process, and analyze buoy, seismic and tide gauge data; 2) predictive tools and a consequence assessment tool set to provide decision support; 3) operation center design and implementation; and 4) tsunami buoy operations and maintenance support. The first buoy was deployed Oct. 25, 2006, approximately 200 nautical miles west of San Diego in 3,800 meters of water. Just three weeks later, it was put to the test during an actual tsunami event. On Nov. 15, 2006, an 8.3 magnitude earthquake rocked the Kuril Islands, located between Japan and the Kamchatka Peninsula of Russia. That quake generated a small tsunami. Waves from the tsunami propagated approximately 4,000 nautical miles across the Pacific Ocean in about nine hours-- a speed of about 445 nautical miles per hour when this commercial buoy first detected them. Throughout that event, the tsunami buoy system showed excellent correlation with data collected by a NOAA DART buoy located 28 nautical miles north of it. Subsequent analysis revealed that the STB matched DART operational capabilities and performed flawlessly. The buoy proved its capabilities again on Jan. 13, 2007, when an 8.1 magnitude earthquake occurred in the same region, and the STB detected the seismic event. As a result of the successes of this entire project, SAIC recently applied for and received a license from NOAA to build DART systems.

  17. Coordination and Data Management of the International Arctic Buoy Programme (IABP)

    DTIC Science & Technology

    2001-09-30

    Coordination and Data Management of the International Arctic Buoy Programme ( IABP ) Ignatius G. Rigor 1013 NE 40th Street Polar Science Center...analyzed geophysical fields. APPROACH Coordination of the IABP falls into the categories of information, resource management, and meeting...the Polar Science Center (PSC) via anonymous ftp. These data and other research products of the IABP are available on the World Wide Web at http

  18. Design of Buoys for Mounting Wind Turbines at Exposed Sites

    NASA Astrophysics Data System (ADS)

    Erdoğan, Beytullah; Çelıkkol, Barbaros; Swift, Robinson

    2018-04-01

    In this study, two designs for a buoy capable of supporting a 10 kW wind turbine and its tower were developed to operate at the University of New Hampshire's Center of Ocean Renewable Energy testing site located off the Isles of Shoals, New Hampshire. The buoys are to be moored by a catenary chain system. To evaluate wave response, two Froude-scaled models were constructed, tested, and compared at the Ocean Engineering wave tank at the University of New Hampshire. These buoys have been implemented and compared with wave tank measurements of the spar displacement at a reference elevation 2.44 m above the mean water level.

  19. Bodega Ocean Observing Node (BOON).

    NASA Astrophysics Data System (ADS)

    Largier, J. L.; Chow, V. I.; Williams, S. L.; Botsford, L. W.; Morgan, S. G.; Nyden, B.; Tustin, J. A.; McAfee, S.; Shideler, D.

    2004-12-01

    The Bodega Ocean Observing Node (BOON) is comprised of radar mapping of surface currents, a moored current profiler, and shoreline oceanographic and meteorological observations. Ongoing shoreline data on temperature and salinity date back to 1955, with continuous records of sealevel, wind, meteorology, and chlorophyll fluorescence starting more recently. Radar observations started in 2001 with deployment of two CODAR antennae. Together with a third CODAR unit deployed in 2002, these provide coverage from Pt Reyes north to the CODE line. Real-time ADCP data from the mooring started in late 2004. Plans include nearshore wave data, CTD/fluorescence data from the mooring, and deployment of a nutrient sensor at the shoreline. This coastal ocean observing node is part of the state-funded COCMP-NC program and the CeNCOOS regional association for central and northern California. Ancillary regional data are available on offshore winds (NDBC buoys), offshore waves (CDIP buoy), river flow, and satellite observations. The value of this suite of measurements is built on (1) detailed understanding of circulation, derived from WEST, CODE, and other prior studies of this region, including mesoscale atmosphere and ocean modeling, (2) active integration of circulation patterns in ongoing studies of planktonic and benthic ecology, and (3) direct interaction with local, state and federal agencies with interest in this region. To-date, the ongoing data series have shown potential for improved understanding and monitoring of fishery populations such as salmon and crab, as well as water quality concerns including oil spills and toxic pollutants. Through an active involvement in local studies and environmental management issues, BOON seeks to develop alternatives to supply-side thinking in the design of coastal ocean observing systems. BOON is based at the Bodega Marine Laboratory and thus provides invaluable support for academic study of more fundamental questions, such as carbon budgets in coastal upwelling systems and the importance of the spatial structure of coastal pelagic habitat.

  20. Probabilistic Modeling and Evaluation of Surf Zone Injury Occurrence along the Delaware Coast

    NASA Astrophysics Data System (ADS)

    Doelp, M.; Puleo, J. A.

    2017-12-01

    Beebe Healthcare in Lewes, DE collected along the DE coast surf zone injury (SZI) data for seven summer seasons from 2010 through 2016. Data include, but are not limited to, time of injury, gender, age, and activity. Over 2000 injuries were recorded over the seven year period, including 116 spinal injuries and three fatalities. These injuries are predominantly wave related incidents including wading (41%), bodysurfing (26%), and body-boarding (20%). Despite the large number of injuries, beach associated hazards do not receive the same level of awareness that rip currents receive. Injury population statistics revealed those between the ages of 11 and 15 years old suffered the greatest proportion of injuries (18.8%). Male water users were twice as likely to sustain injury as their female counterparts. Also, non-locals were roughly six times more likely to sustain injury than locals. In 2016, five or more injuries occurred for 18.5% of the days sampled, and no injuries occurred for 31.4% of the sample days. The episodic nature of injury occurrence and population statistics indicate the importance of environmental conditions and human behavior on surf zone injuries. Higher order statistics are necessary to effectively assess SZI cause and likelihood of occurrence on a particular day. A Bayesian network using Netica software (Norsys) was constructed to model SZI and predict changes in injury likelihood on an hourly basis. The network incorporates environmental data collected by weather stations, NDBC buoy #44009, USACE buoy at Bethany Beach, and by researcher personnel on the beach. The Bayesian model includes prior (e.g., historic) information to infer relationships between provided parameters. Sensitivity analysis determined the most influential variables to injury likelihood are population, water temperature, nearshore wave height, beach slope, and the day of the week. Forecasting during the 2017 summer season will test model ability to predict injury likelihood.

  1. Water Quality Monitor

    NASA Technical Reports Server (NTRS)

    1982-01-01

    An automated water quality monitoring system was developed by Langley Research Center to meet a need of the Environmental Protection Agency (EPA). Designed for unattended operation in water depths up to 100 feet, the system consists of a subsurface buoy anchored in the water, a surface control unit (SCU) and a hydrophone link for acoustic communication between buoy and SCU. Primary functional unit is the subsurface buoy. It incorporates 16 cells for water sampling, plus sensors for eight water quality measurements. Buoy contains all the electronic equipment needed for collecting and storing sensor data, including a microcomputer and a memory unit. Power for the electronics is supplied by a rechargeable nickel cadmium battery that is designed to operate for about two weeks. Through hydrophone link the subsurface buoy reports its data to the SCU, which relays it to land stations. Link allows two-way communications. If system encounters a problem, it automatically shuts down and sends alert signal. Sequence of commands sent via hydrophone link causes buoy to release from anchor and float to the surface for recovery.

  2. Analysis of USCG replacement stern-loading buoy boat requirements for the aids to navigation mission : final report

    DOT National Transportation Integrated Search

    1993-08-01

    The report documents the results of the Volpe Center's analysis of the number of replacement stern-loading buoy boats (BUSLRs) required for the U.S. Coast Guard's Aids to Navigation (ATON) mission. At present, 19 Coast Guard Aids to Navigation Teams ...

  3. NOAA's Integrated Tsunami Database: Data for improved forecasts, warnings, research, and risk assessments

    NASA Astrophysics Data System (ADS)

    Stroker, Kelly; Dunbar, Paula; Mungov, George; Sweeney, Aaron; McCullough, Heather; Carignan, Kelly

    2015-04-01

    The National Oceanic and Atmospheric Administration (NOAA) has primary responsibility in the United States for tsunami forecast, warning, research, and supports community resiliency. NOAA's National Geophysical Data Center (NGDC) and co-located World Data Service for Geophysics provide a unique collection of data enabling communities to ensure preparedness and resilience to tsunami hazards. Immediately following a damaging or fatal tsunami event there is a need for authoritative data and information. The NGDC Global Historical Tsunami Database (http://www.ngdc.noaa.gov/hazard/) includes all tsunami events, regardless of intensity, as well as earthquakes and volcanic eruptions that caused fatalities, moderate damage, or generated a tsunami. The long-term data from these events, including photographs of damage, provide clues to what might happen in the future. NGDC catalogs the information on global historical tsunamis and uses these data to produce qualitative tsunami hazard assessments at regional levels. In addition to the socioeconomic effects of a tsunami, NGDC also obtains water level data from the coasts and the deep-ocean at stations operated by the NOAA/NOS Center for Operational Oceanographic Products and Services, the NOAA Tsunami Warning Centers, and the National Data Buoy Center (NDBC) and produces research-quality data to isolate seismic waves (in the case of the deep-ocean sites) and the tsunami signal. These water-level data provide evidence of sea-level fluctuation and possible inundation events. NGDC is also building high-resolution digital elevation models (DEMs) to support real-time forecasts, implemented at 75 US coastal communities. After a damaging or fatal event NGDC begins to collect and integrate data and information from many organizations into the hazards databases. Sources of data include our NOAA partners, the U.S. Geological Survey, the UNESCO Intergovernmental Oceanographic Commission (IOC) and International Tsunami Information Center, Smithsonian Institution's Global Volcanism Program, news organizations, etc. NGDC assesses the data and then works to promptly distribute the data and information. For example, when a major tsunami occurs, all of the related tsunami data are combined into one timely resource, posted in an online report, which includes: 1) event summary; 2) eyewitness and instrumental recordings from preliminary field surveys; 3) regional historical observations including similar past events and effects; 4) observed water heights and calculated tsunami travel times; and 5) near-field effects. This report is regularly updated to incorporate the most recent data and observations. Providing timely access to authoritative data and information ultimately benefits researchers, state officials, the media and the public. This paper will demonstrate the extensive collection of data and how it is used.

  4. The International Arctic Buoy Programme (IABP) - An International Polar Year Every Year

    NASA Astrophysics Data System (ADS)

    Hanna, M.; Rigor, I.; Ortmeyer, M.; Haas, C.

    2004-12-01

    A network of automatic data buoys to monitor synoptic-scale fields of sea level pressure (SLP), surface air temperature (SAT), and ice motion throughout the Arctic Ocean was recommended by the U.S. National Academy of Sciences in 1974. Based on the Academy's recommendation, the Arctic Ocean Buoy Program was established by the Polar Science Center, Applied Physics Laboratory (APL), University of Washington, in 1978 to support the Global Weather Experiment. Operations began in early 1979, and the program continued through 1990 under funding from various agencies. In 1991, the International Arctic Buoy Programme (IABP) succeeded the Arctic Ocean Buoy Program, but the basic objective remains - to maintain a network of drifting buoys on the Arctic Ocean to provide meteorological and oceanographic data for real-time operational requirements and research purposes including support to the World Climate Research Programme and the World Weather Watch Programme. The IABP currently has 37 buoys deployed on the Arctic Ocean. Most of the buoys measure SLP and SAT, but many buoys are enhanced to measure other geophysical variables such as sea ice thickness, ocean temperature and salinity. This observational array is maintained by the 20 Participants from 10 different countries, who support the program through contributions of buoys, deployment logistics, and other services. The observations from the IABP are posted on the Global Telecommunications System for operational use, are archived at the World Data Center for Glaciology at the National Snow and Ice Data Center (http://nsidc.org), and can also be obtained from the IABP web server for research (http://iabp.apl.washington.edu). The observations from the IABP have been essential for: 1.) Monitoring Arctic and global climate change; 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models; 4.) Validation of satellite data; etc. As of 2003, over 450 papers have been written using the observations collected by the IABP. The observations from IABP have been one of the cornerstones for environmental forecasting and studies of climate and climate change, i.e. many of the changes in Arctic climate were first observed or explained using data from the IABP. The IABP is also evolving to better support the operational and research requirements of the community. For example, some of the Participants of the IABP have been deploying buoys which not only measure SLP and SAT, but also ocean currents, temperatures and salinity. Other buoys have been enhanced to measure the ice mass balance (IMB) using thermistor strings and pingers aimed at the top and bottom of the sea ice. Some of these ocean and IMB buoys are deployed in close proximity to each other in order to provide a myriad of concurrent observations at a few points across the Arctic Ocean. From these data we can also estimate time variations in other geophysical variables such as oceanic heat storage and heat flux. These stations provide critical atmospheric, ice, and upper ocean hydrographic measurements that cannot be obtained by other means. The Arctic and global climate system is changing. These changes threaten our native cultures and ecosystems, but may also provide economic and social opportunities. In order to understand and respond to these changes, we need to sustain our current observational systems, and for the Arctic, the IABP provides the longest continuing record of observations.

  5. Analysis and prediction of ocean swell using instrumented buoys

    NASA Technical Reports Server (NTRS)

    Mettlach, Theodore; Wang, David; Wittmann, Paul

    1994-01-01

    During the period 20-23 September 1990, the remnants of Supertyphoon Flo moved into the central North Pacific Ocean with sustained wind speeds of 28 m/s. The strong wind and large fetch area associated with this storm generated long-period swell that propagated to the west coast of North America. National Data Buoy Center moored-buoy stations, located in a network that ranged from the Gulf of Alaska to the California Bight, provided wave spectral estimates of the swell from this storm. The greatest dominant wave periods measured were approximately 20-25 s, and significant wave heights measured ranged from 3 to 8 m. Wave spectra from an array of three nondirectional buoys are used to find the source of the long-period swell. Directional wave spectra from a heave-pitch-roll buoy are also used to make an independent estimate of the source of the swell. The ridge-line method, using time-frequency contour plots of wave spectral energy density, is used to determine the time of swell generation, which is used with the appropriate surface pressure analysis to infer the swell generation area. The diagnosed sources of the swell are also compared with nowcasts from the Global Spectral Ocean Wave Model of the Fleet Numerical Oceanography Center. A simple method of predicting the propagation of ocean swell, by applying a simple kinematic model of wave propagation to the estimated point and time source, is demonstrated.

  6. Design of the NUSC (Naval Underwater System Center) Replacement TCP (transducer Calibration Platform) Mooring for Lake Seneca, Dresden, New York

    DTIC Science & Technology

    1983-05-01

    SMP has sinkers attached to wire rope within the water column. This location of sinkers was not duplicated on the TCP moor because of possible wear and...breaking (new chain) 1-3/4" wire rope breaking strength is approx. 224. kips; F.S. = 6.4 against breaking (new rope) Buoy, dia=9.5’,h=5’ buoy freeboard is...6.4 against breakingconnecting agis 1-3/4" wire rope with J b- chain tails 13 See Appendix B for details of the mooring buoy design and Appendix C

  7. Implementation of PLUTO Buoy for Monitoring Water Quality in Indonesia, Reflection and Future Plans

    NASA Astrophysics Data System (ADS)

    Chandra, H.; Krismono, K.; Kusumaningrum, P. D.; Sianturi, D.; Firdaus, Y.; Taukhid, I.; Borneo, B. B.

    2016-02-01

    Research and development of PLUTO (Perairan Selalu Termonitor/Waters Always Monitored) buoy has reached its fourth year in 2015. Try out has been done in coastal waters, fishponds, fishing port ponds, and reservoirs. In the first year (2010) try out has been performed on coastal waters with off line measurement system. The buoy used temperature, salinity, DO and pH sensors. In the second year (2013) try out was carried out on fishponds and fishing port ponds using telemetry measurement system. In the third year (2014) try out was carried out on water reservoir with telemetry measurement system. In the fourth year (2015) android application is developed to monitor 4 water reservoirs and 1 lake. Beside that, observation point is added to 3 point depth for one buoy. Parameters used are temperature, DO, and turbidity. Three PLUTO buoys are placed in each reservoir, at inlet, outlet, and at center of fish cultivation. Through Ocean Science Meeting in New Orleans it is hoped that there will be input and suggestion from the experts for future development of the monitoring system for public inland waters (especially reservoir and lake) in Indonesia. Keywords: buoy PLUTO, salinity, temperature, Dissolved Oxygen (DO), pH, turbidity, telemetry

  8. Coordination and Data Management of the International Arctic Buoy Programme (IABP)

    DTIC Science & Technology

    2002-09-30

    for forcing, validation and assimilation into numerical climate models , and for forecasting weather and ice conditions. TRANSITIONS Using IABP ...Coordination and Data Management of the International Arctic Buoy Programme ( IABP ) Ignatius G. Rigor 1013 NE 40th Street Polar Science Center...analyzed geophysical fields. APPROACH The IABP is a collaboration between 25 different institutions from 8 different countries, which work together

  9. Coordination and Data Management of the International Arctic Buoy Programme (IABP)

    DTIC Science & Technology

    1999-09-30

    Coordination and Data Management of the International Arctic Buoy Programme ( IABP ) Ignatius G. Rigor 1013 NE 40th Street Polar Science Center...Coordination of the IABP falls into the categories of information, resource management, and meeting planning. Information is primarily distributed via a...These data and other research products of the IABP are available on the World Wide Web at http://iabp.apl.washington.edu/. WORK COMPLETED Our recent

  10. Coordination and Data Management of the International Arctic Buoy Programme (IABP)

    DTIC Science & Technology

    2000-09-30

    Coordination and Data Management of the International Arctic Buoy Programme ( IABP ) Ignatius G. Rigor 1013 NE 40th Street Polar Science Center...Coordination of the IABP falls into the categories of information, resource management, and meeting planning. Information is primarily distributed via a monthly...data and other research products of the IABP are available on the World Wide Web at http://iabp.apl.washington.edu/. Report Documentation Page Form

  11. Towards marine seismological Network: real time small aperture seismic array

    NASA Astrophysics Data System (ADS)

    Ilinskiy, Dmitry

    2017-04-01

    Most powerful and dangerous seismic events are generated in underwater subduction zones. Existing seismological networks are based on land seismological stations. Increased demands for accuracy of location, magnitude, rupture process of coming earthquakes and at the same time reduction of data processing time require information from seabed seismic stations located near the earthquake generation area. Marine stations provide important contribution for clarification of the tectonic settings in most active subduction zones of the world. Early warning system for subduction zone area is based on marine seabed array which located near the area of most hazardous seismic zone in the region. Fast track processing for location of the earthquake hypocenter and energy takes place in buoy surface unit. Information about detected and located earthquake reaches the onshore seismological center earlier than the first break waves from the same earthquake will reach the nearest onshore seismological station. Implementation of small aperture array is based on existed and shown a good proven performance and costs effective solutions such as weather moored buoy and self-pop up autonomous seabed seismic nodes. Permanent seabed system for real-time operation has to be installed in deep sea waters far from the coast. Seabed array consists of several self-popup seismological stations which continuously acquire the data, detect the events of certain energy class and send detected event parameters to the surface buoy via acoustic link. Surface buoy unit determine the earthquake location by receiving the event parameters from seabed units and send such information in semi-real time to the onshore seismological center via narrow band satellite link. Upon the request from the cost the system could send wave form of events of certain energy class, bottom seismic station battery status and other environmental parameters. When the battery life of particular seabed unit is close to became empty, the seabed unit is switching into sleep mode and send that information to surface buoy and father to the onshore data center. Then seabed unit can wait for the vessel of opportunity for recovery of seabed unit to sea surface and replacing seabed station to another one with fresh batteries. All collected permanent seismic data by seabed unit could than downloaded for father processing and analysis. In our presentation we will demonstrate the several working prototypes of proposed system such as real time cable broad band seismological station and real time buoy seabed seismological station.

  12. A Cause and A Solution for the Underprediction of Extreme Wave Events in the Northeast Pacific

    NASA Astrophysics Data System (ADS)

    Ellenson, A. N.; Ozkan-Haller, H. T.; Thomson, J.; Brown, A. C.; Haller, M. C.

    2016-12-01

    Along the coastlines of Washington and Oregon, at least one 10 m wave height event occurs every year, and the strongest storms produce wave heights of 14-15 m. Extremely high wave heights can cause severe damage to coastal infrastructure and pose hazards to stakeholders along the coast. A system which can accurately predict such sea states is important for quantifying risk and aiding in preparation for extreme wave events. This study explores how to optimize forecast model performance for extreme wave events by utilizing different physics packages or wind input in four model configurations. The different wind input products consist of a reanalyzed Global Forecasting System (GFS) wind input and a Climate Forecast System Reanalysis (CFSR) from the National Center of Environmental Prediction (NCEP). The physics packages are the Tolman-Chalikov (1996) ST2 physics package and the Ardhuin et al (2009) ST4 physics package associated with version 4.18 of WaveWatch III. A hindcast was previously performed to assess the wave character along the Pacific Northwest Coastline for wave energy applications. Inspection of hindcast model results showed that the operational model, which consisted of ST2 physics and GFS wind, underpredicted events where wave height exceeded six meters.The under-prediction is most severe for cases with the combined conditions of a distant cyclone and a strong coastal jet. Three such cases were re-analyzed with the four model configurations. Model output is compared with observations at NDBC buoy 46050, offshore of Newport, OR. The model configuration consisting of ST4 physics package and CFSR wind input performs best as compared with the original model, reducing significant wave height underprediction from 1.25 m to approximately 0.67 m and mean wave direction error from 30 degrees to 17 degrees for wave heights greater than 6 m. Spectral analysis shows that the ST4-CFSR model configuration best resolves southerly wave energy, and all model configurations tend to overestimate northerly wave energy. This directional distinction is important when attempting to identify which atmospheric feature has induced the extreme wave energy.

  13. DRIFTER Web App Development Support

    NASA Technical Reports Server (NTRS)

    Davis, Derrick D.; Armstrong, Curtis D.

    2015-01-01

    During my 2015 internship at Stennis Space Center (SSC) I supported the development of a web based tool to enable user interaction with a low-cost environmental monitoring buoy called the DRIFTER. DRIFTERs are designed by SSC's Applied Science and Technology Projects branch and are used to measure parameters such as water temperature and salinity. Data collected by the buoys help verify measurements by NASA satellites, which contributes to NASA's mission to advance understanding of the Earth by developing technologies to improve the quality of life on or home planet. My main objective during this internship was to support the development of the DRIFTER by writing web-based software that allows the public to view and access data collected by the buoys. In addition, this software would enable DRIFTER owners to configure and control the devices.

  14. Buoy observation for typhoon in southeast of Taiwan during summers of 2015 and 2016

    NASA Astrophysics Data System (ADS)

    Hsieh, C. Y.; Yang, Y. J.; Chang, M. H.; Chang, H. I.; Jan, S.; Wei, C. L.

    2016-12-01

    The western North Pacific is the most active area for the typhoon in the world, and typhoon caused disasters in this area. The marine observations are very important for the typhoon prediction. National Taiwan University (NTU) was developed a real-time data buoy system for typhoon observation. This buoy not only collected meteorological data, but also measured the temperature and salinity profiles of ocean's upper 500 m. The buoys, NTU1 and NTU2, were moored about 375 km and 175 km, respectively, from the southernmost tip of Taiwan. In summer of 2015, NTU1 buoy equipped with temperature and humidity probes, wind sensor, pyranometer, barometer, conductivity-temperature-depth (CTD) recorders, and temperature-pressure recorders. In summer of 2016, NTU1 and NTU2 buoys installed more instruments, such as rain gauge, net radiometer, and current meter, etc. During the observation period, there were three typhoons (Chan-hom, Soudler, and Goni) in 2015 and one typhoon (Nepartak) in 2016 approached buoy. Goni passed south and west side of NTU1 and the air pressure dropped around 25 hPa. Nepartak passed north side of NTU1 and south side of NTU2. The minimum distance between center of typhoon and NTU1 and NTU2 were about 11.48 km and 4.85 km, respectively. The NTU2 buoy recorded a maximum wind gust of 44 m/s, thickness of mixed layer increased to 120 m, and sea-surface temperature dropped 3 °C. In addition, the typhoon induced the near inertial internal motion for a couple of days. Applied the in-situ data to derive the net heat flux and its variations were from 600 W/m2 to -1000W/m2 during typhoon period. It indicate that the ocean provide energy to typhoon around this area. Moreover, the sum of sensible and latent heat flux calculated from observation data was 4.5 times than satellite-based products.

  15. Assessment and Analysis of QuikSCAT Vector Wind Products for the Gulf of Mexico: A Long-Term and Hurricane Analysis.

    PubMed

    Sharma, Neha; D'Sa, Eurico

    2008-03-18

    The northern Gulf of Mexico is a region that has been frequently impacted in recent years by natural disasters such as hurricanes. The use of remote sensing data such as winds from NASA's QuikSCAT satellite sensor would be useful for emergency preparedness during such events. In this study, the performance of QuikSCAT products, including JPL's latest Level 2B (L2B) 12.5 km swath winds, were evaluated with respect to buoy-measured winds in the Gulf of Mexico for the period January 2005 to February 2007. Regression analyses indicated better accuracy of QuikSCAT's L2B DIRTH, 12.5 km than the Level 3 (L3), 25 km wind product. QuikSCAT wind data were compared directly with buoy data keeping a maximum time interval of 20 min and spatial interval of 0.1° (≈10 km). R² values for moderate wind speeds were 0.88 and 0.93 for L2B, and 0.75 and 0.89 for L3 for speed and direction, respectively. QuikSCAT wind comparisons for buoys located offshore were better than those located near the coast. Hurricanes that took place during 2002-06 were studied individually to obtain regressions of QuikSCAT versus buoys for those events. Results show QuikSCAT's L2B DIRTH wind product compared well with buoys during hurricanes up to the limit of buoy measurements. Comparisons with the National Hurricane Center (NHC) best track analyses indicated QuikSCAT winds to be lower than those obtained by NHC, possibly due to rain contamination, while buoy measurements appeared to be constrained at high wind speeds. This study has confirmed good agreement of the new QuikSCAT L2B product with buoy measurements and further suggests its potential use during extreme weather conditions in the Gulf of Mexico.

  16. New method to determine initial surface water displacement at tsunami source

    NASA Astrophysics Data System (ADS)

    Lavrentyev, Mikhail; Romanenko, Alexey; Tatarintsev, Pavel

    2013-04-01

    Friday, March 11, 2011 at 05:46:23 UTC, Japan was struck by an 8.9-magnitude earthquake near its Northeastern coast. This is one of the largest earthquakes that Japan has ever experienced. Tsunami waves swept away houses and cars and caused massive human losses. To predict tsunami wave parameters better and faster, we propose to improve data inversion scheme and achieve the performance gain of data processing. One of the reasons of inaccurate predictions of tsunami parameters is that very little information is available about the initial disturbance of the sea bed at tsunami source. In this paper, we suggest a new way of improving the quality of tsunami source parameters prediction. Modern computational technologies can accurately calculate tsunami wave propagation over the deep ocean provided that the initial displacement (perturbation of the sea bed at tsunami source) is known [4]. Direct geophysical measurements provide the location of an earthquake hypocenter and its magnitude (the released energy evaluation). Among the methods of determination of initial displacement the following ones should be considered. Calculation through the known fault structure and available seismic information. This method is widely used and provides useful information. However, even if the exact knowledge about rock blocks shifts is given, recalculation in terms of sea bed displacement is needed. This results in a certain number of errors. GPS data analysis. This method was developed after the December 2004 event in the Indian Ocean. A good correlation between dry land based GPS sensors and tsunami wave parameters was observed in the particular case of the West coast of Sumatra, Indonesia. This approach is very unique and can hardly been used in other geo locations. Satellite image analysis. The resolution of modern satellite images has dramatically improved. In the future, correct data of sea surface displacement will probably be available in real time, right after a tsunamigenic earthquake. However, today it is not yet possible. Ground-based sea radars. This is an effective tool for direct measurement of tsunami wave. At the same time, the wave is measured at a rather narrow area in front of the radar and does not include information about neighboring parts of the wave. Direct measurement of tsunami wave at deep water [2]. Today, this technology is certainly among the most useful and promising. The DART II® system consists of a seafloor bottom pressure recording (BPR) system, capable of detecting tsunamis as small as 1 cm, and a moored surface buoy for real-time communications. We focus our research on improving the later method, direct measurement of tsunami wave at deep water. We suggest the new way to analyze DART data, modifying the methodology originally proposed by V. Titov. Smaller system of unit sources [3] should be considered to approximate all typical shapes of initial disturbance by several suitable basis functions. To successfully implement it, performance of data analysis should be dramatically improved. This could be done by using a signal orthogonalization procedure for considered system of unit sources and calculation of Fourier coefficients of the measured time series with respect to orthogonal basis. The approach suggested was used as a part of computerized workstation for tsunami hazard monitoring [5-6]. National Oceanic and Atmospheric Administration Center for Tsunami Research. URL: http://nctr.pmel.noaa.gov/honshu20110311/ National Data Buoy Center. URL: http://www.ndbc.noaa.gov/dart.shtml National Oceanic and Atmospheric Administration Center for Tsunami Research. URL: http://sift.pmel.noaa.gov/thredds/dodsC/uncompressed/ National Oceanic and Atmospheric Administration Center for Tsunami Research. URL: http://nctr.pmel.noaa.gov/model.html Alexey Romanenko, Mikhail Lavrentiev-jr, Vasily Titov, "Modern Architecture for Tsunami Hazard Mitigation" // Asia Oceania Geosciences Society (AOGS-2012), ISBN 978-981-07-2049-0 Mikhail Lavrentiev-jr, Andrey Marchuk, Alexey Romanenko, Konstantin Simonov, and Vasiliy Titov, "Computerized Workstation for Tsunami Hazard Monitoring", Geophysical research abstracts, Vol. 12, EGU2010-3021-1, 2010

  17. About the role of the source terms on the spatial structure of the wave field in hurricanes

    NASA Astrophysics Data System (ADS)

    Osuna, P.; Esquivel-Trava, B.; Ocampo-Torres, F. J.

    2012-04-01

    A numerical experiment has been carried out in order to study the structure of the wave field during hurricane conditions. High resolution wind data for a hurricane were obtained by the use of a Holland type asymmetric model. The third generation wind-wave model SWAN has been used in this study. A reference framework for the structure of the wave field in hurricanes is obtained using the NDBC directional buoy database in the Caribbean Sea and the Gulf of Mexico. This observational reference is used to assess the ability of the model to reproduce the complexity of the wave field observed in hurricanes. It is found that the numerical results are in good agreement with the observed wave field in the hurricane: higher waves are in the right forward quadrant of the hurricane, where the spectral shape tends to become uni-modal. More complex spectral shapes are observed in the rear quadrants of the hurricane, where a tendency of the spectra to become multi-modal is observed. As pointed out by other authors, the wave field in the hurricane is dominated by swell propagating at significant angles to the local wind directions, except on a small region between the first and fourth quadrants. A deeper insight on the role of the physics that controls the evolution of the wave field is assessed by the analysis of the effect of the source terms computed by the wave model in the four quadrants of the hurricane. This is a contribution to the project CB-168173, funded by CONACYT.

  18. Wave and Current Measurements From the Coastal Storms Program (CSP) Buoy 41012 off St. Augustine, FL

    NASA Astrophysics Data System (ADS)

    Crout, R. L.

    2008-05-01

    The Coastal Storms Program (CSP) is a NOAA program that involves several different branches within NOAA. Components of the National Ocean Service, the National Weather Service, the National Marine Fisheries Service, and the Office of Oceanic and Atmospheric Research participate in CSP, which is administered by the Coastal Services Center. CSP selects an area where an impact in support of the NOAA Societal Goals can be made. The first area selected was the northeast coast of Florida in 2002. In addition to coastal water level stations and modeling efforts, a 3-meter discuss buoy (WMO 41012) was deployed off the coast of St. Augustine, FL in approximately 38 meters of water. In addition to the normal complement of meteorological sensors, Buoy 41012 contained a sensor to measure directional waves at hourly intervals, a temperature-conductivity sensor to measure near-surface temperature and salinity, and a current profiler to obtain near-surface to near-bottom currents at hourly intervals. These data on the continental shelf provide a view of the oceanography on the inner margin of the Gulf Stream. The data are served over the National Data Buoy Center's web page and over the Global Telecommunications System. The waves and currents during the period from September 2005 through December 2007 are related to coastal storms, hurricanes, tides, and Gulf Stream intrusions. During several late fall and winter periods the waves exceeded 4.5 meters. The on-offshore component of the currents appears to be tidally driven, however, predominant on- and off-shore flows are observed in response to storms and Gulf Stream intrusions. The primary component of the flow is aligned alongshore and although the tidal influence is obvious, extended periods of northward and southward currents are observed. Currents approaching 2 knots are observed at various times during the period that the buoy has been active. The high currents appear to be in response to strong wind events (atmospheric frontal passages) and Gulf Stream intrusions.

  19. Multiyear ice transport and small scale sea ice deformation near the Alaska coast measured by air-deployable Ice Trackers

    NASA Astrophysics Data System (ADS)

    Mahoney, A. R.; Kasper, J.; Winsor, P.

    2015-12-01

    Highly complex patterns of ice motion and deformation were captured by fifteen satellite-telemetered GPS buoys (known as Ice Trackers) deployed near Barrow, Alaska, in spring 2015. Two pentagonal clusters of buoys were deployed on pack ice by helicopter in the Beaufort Sea between 20 and 80 km offshore. During deployment, ice motion in the study region was effectively zero, but two days later the buoys captured a rapid transport event in which multiyear ice from the Beaufort Sea was flushed into the Chukchi Sea. During this event, westward ice motion began in the Chukchi Sea and propagated eastward. This created new openings in the ice and led to rapid elongation of the clusters as the westernmost buoys accelerated away from their neighbors to the east. The buoys tracked ice velocities of over 1.5 ms-1, with fastest motion occurring closest to the coast indicating strong current shear. Three days later, ice motion reversed and the two clusters became intermingled, rendering divergence calculations based on the area enclosed by clusters invalid. The data show no detectable difference in velocity between first year and multiyear ice floes, but Lagrangian timeseries of SAR imagery centered on each buoy show that first year ice underwent significant small-scale deformation during the event. The five remaining buoys were deployed by local residents on prominent ridges embedded in the landfast ice within 16 km of Barrow in order to track the fate of such features after they detached from the coast. Break-up of the landfast ice took place over a period of several days and, although the buoys each initially followed a similar eastward trajectory around Point Barrow into the Beaufort Sea, they rapidly dispersed over an area more than 50 km across. With rapid environmental and socio-economic change in the Arctic, understanding the complexity of nearshore ice motion is increasingly important for predict future changes in the ice and the tracking ice-related hazards contaminants entrained in the ice. This work demonstrates the ability of low-cost easily-deployable Ice Trackers to generate to generate data of both scientific and operational value.

  20. JAMSTEC Compact Arctic Drifter (J-CAD): A new Generation drifting buoy to observe the Arctic Ocean

    NASA Astrophysics Data System (ADS)

    Hatakeyama, Kiyoshi; Hosono, Masuo; Shimada, Koji; Kikuchi, Takashi; Nishino, Shigeto

    The Arctic Ocean is one of the most sensitive regions to the earth environment changes. Japan Marine Science and Technology Center developed a new drift buoy to observe the Arctic Ocean. The name of the buoy is J-CAD (JAMSTEC Compact Arctic Drifter). From 1991 to 1993, JAMSTEC developed Ice-Ocean Environmental Buoy (IOEB) as a buoy to observe the Arctic Ocean in cooperation with Woods Hole Oceanographic Institution. The J-CAD is the buoy, which adopted the latest technology based on the knowledge and experience of IOEB development. The J-CAD was designed and developed by JAMSTEC and made by a Canadian Company MetOcean. JAMSTEC did design and development, and a Canadian company Met-Ocean made the J-CAD. It acquires meteorological and oceanographic data of the Arctic Ocean, and transmits the data that it measured via satellite. It dose also store the data inside its memory. An Inductive Modem system, which was developed by Sea-Bird Electronics, Inc. in the United States, was adopted in the underwater transmission system that data on each ocean sensor were collected. An ORBCOMM communication system was adopted for the satellite data transmission. J-CAD-1 was installed at 89°41'N 130°20'W on April 24, 2000, and the observation was started. August 1st was the day when 100 days have passed since the J-CAD-1 was installed on the North Pole. And now, the distance J-CAD-1 has covered exceeds 400 km, and it has transmitted data more than 500 k byte. A part of the data is introduced to the public in the homepage (http://w3.jamstec.go.jp: 8338) of the Arctic research group of JAMSTEC.

  1. On the Effects of Unsteady Flow Conditions on the Performance of a Cross Flow Hydrokinetic Turbine

    DTIC Science & Technology

    2017-05-22

    of Marine Energy BEI Sensors Ocean Engineering Mechanics: With Applications US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, National Data Buoy Center.

  2. Shallow Water Optical Water Quality Buoy

    NASA Technical Reports Server (NTRS)

    Bostater, Charles

    1998-01-01

    This NASA grant was funded as a result of an unsolicited proposal submission to Kennedy Space Center. The proposal proposed the development and testing of a shallow water optical water quality buoy. The buoy is meant to work in shallow aquatic systems (ponds, rivers, lagoons, and semi-enclosed water areas where strong wind wave action is not a major environmental During the project period of three years, a demonstration of the buoy was conducted. The last demonstration during the project period was held in November, 1996 when the buoy was demonstrated as being totally operational with no tethered communications line. During the last year of the project the buoy was made to be solar operated by large gel cell batteries. Fund limitations did not permit the batteries in metal enclosures as hoped for higher wind conditions, however the system used to date has worked continuously for in- situ operation of over 18 months continuous deployment. The system needs to have maintenance and somewhat continuous operational attention since various components have limited lifetime ages. For example, within the last six months the onboard computer has had to be repaired as it did approximately 6 months after deployment. The spectrograph had to be repaired and costs for repairs was covered by KB Science since no ftmds were available for this purpose after the grant expired. Most recently the computer web page server failed and it is currently being repaired by KB Science. In addition, the cell phone operation is currently being ftmded by Dr. Bostater in order to maintain the system's operation. The above points need to be made to allow NASA to understand that like any sophisticated measuring system in a lab or in the field, necessary funding and maintenance is needed to insure the system's operational state and to obtain quality factor. The proposal stated that the project was based upon the integration of a proprietary and confidential sensor and probe design that was developed by KB Science and Engineering and is currently patented by KB Science. The buoy's purpose was to collected hyperspectral optical signatures for analysis and resulting estimation of water quality parameters such as chlorophyll-a, seston and dissolved organic matter (DOC). The ultimate goal of the project was to develop a buoy that would integrate a probe to measure upwelling light from a source and thus relate this backscattered light to water quality parameters.

  3. An experimental study of the effect of mooring systems on the dynamics of a SPAR buoy-type floating offshore wind turbine

    NASA Astrophysics Data System (ADS)

    Hong, Sinpyo; Lee, Inwon; Park, Seong Hyeon; Lee, Cheolmin; Chun, Ho-Hwan; Lim, Hee Chang

    2015-09-01

    An experimental study of the effect of mooring systems on the dynamics of a SPAR buoy-type floating offshore wind turbine is presented. The effects of the Center of Gravity (COG), mooring line spring constant, and fair-lead location on the turbine's motion in response to regular waves are investigated. Experimental results show that for a typical mooring system of a SPAR buoy-type Floating Offshore Wind Turbine (FOWT), the effect of mooring systems on the dynamics of the turbine can be considered negligible. However, the pitch decreases notably as the COG increases. The COG and spring constant of the mooring line have a negligible effect on the fairlead displacement. Numerical simulation and sensitivity analysis show that the wind turbine motion and its sensitivity to changes in the mooring system and COG are very large near resonant frequencies. The test results can be used to validate numerical simulation tools for FOWTs.

  4. Numerical study of hydrodynamic behavior and conversion efficiency of a two-buoy wave energy converter

    NASA Astrophysics Data System (ADS)

    Yang, Cen; Zhang, Yong-liang

    2018-04-01

    In this paper we propose a two-buoy wave energy converter composed of a heaving semi-submerged cylindrical buoy, a fixed submerged cylindrical buoy and a power take-off (PTO) system, and investigate the effect of the fixed submerged buoy on the hydrodynamics of the heaving semi-submerged buoy based on the three-dimensional potential theory. And the dynamic response of the semi-submerged buoy and the wave energy conversion efficiency of the converter are analyzed. The difference of the hydrodynamics and the wave energy conversion efficiency of a semi-submerged buoy converter with and without a fixed submerged buoy is discussed. It is revealed that the influence of the fixed submerged buoy on the exciting wave force, the added mass, the radiation damping coefficient and the wave energy conversion efficiency can be significant with a considerable variation, depending on the vertical distance between the heaving semi-submerged buoy and the fixed submerged buoy, the diameter ratio of the fixed submerged buoy to the heaving semi-submerged buoy and the water depth.

  5. Texas Automated Buoy System 1995-2005 and Beyond

    NASA Astrophysics Data System (ADS)

    Guinasso, N. L.; Bender, L. C.; Walpert, J. N.; Lee, L. L.; Campbell, L.; Hetland, R. D.; Howard, M. K.; Martin, R. D.

    2005-05-01

    TABS was established in l995 to provide data to assess oil spill movement along Texas coast for the Texas General Land Office Oil Spill Prevention and Response Program. A system of nine automated buoys provide wind and current data in near real time. Two of these buoys are supported by the Flower Garden Banks Joint Industry Program. A TABS web site provides a public interface to view and download the data. A real time data analysis web page presents a wide variety of useful data products derived from the field measurements. Integration efforts now underway include transfer of buoy data to the National Data Buoy Center for quality control and incorporation into the Global Telecommunications Stream. The TGLO ocean circulation nowcast/forecast modeling system has been in continuous operation since 1998. Two models, POM and ROMS, are used to produce forecasts of near-surface wind driven currents up to 48 hours into the future. Both models are driven using wind fields obtained from the NAM (formerly Eta) forecast models operated by NOAA NCEP. Wind and current fields are displayed on websites in both static and animated forms and are updated four times per day. Under funding from the SURA/SCOOP program we are; 1) revamping the system to conform with the evolving Data Management and Communications (DMAC) framework adopted by the NSF Orion and OCEAN.US IOOS programs, 2) producing model-data comparisons, and 3) integrating the wind and current fields into the GNOME oil trajectory model used by NOAA/Hazmat. Academic research is planned to assimilate near real-time observations from TABS buoys and some 30-40 ADCP instruments scheduled to be mounted on offshore oil platforms in early 2005. Texas Automated Buoy System (TABS) and its associated modeling efforts provide a reliable source of accurate, up-to-date information on currents along the Texas coast. As the nation embarks on the development of an Integrated Ocean Observing System (IOOS), TABS will be an active participant as a foundational regional component to the national backbone of ocean observations.

  6. A methodology for spectral wave model evaluation

    NASA Astrophysics Data System (ADS)

    Siqueira, S. A.; Edwards, K. L.; Rogers, W. E.

    2017-12-01

    Model evaluation is accomplished by comparing bulk parameters (e.g., significant wave height, energy period, and mean square slope (MSS)) calculated from the model energy spectra with those calculated from buoy energy spectra. Quality control of the observed data and choice of the frequency range from which the bulk parameters are calculated are critical steps in ensuring the validity of the model-data comparison. The compared frequency range of each observation and the analogous model output must be identical, and the optimal frequency range depends in part on the reliability of the observed spectra. National Data Buoy Center 3-m discus buoy spectra are unreliable above 0.3 Hz due to a non-optimal buoy response function correction. As such, the upper end of the spectrum should not be included when comparing a model to these data. Bioufouling of Waverider buoys must be detected, as it can harm the hydrodynamic response of the buoy at high frequencies, thereby rendering the upper part of the spectrum unsuitable for comparison. An important consideration is that the intentional exclusion of high frequency energy from a validation due to data quality concerns (above) can have major implications for validation exercises, especially for parameters such as the third and fourth moments of the spectrum (related to Stokes drift and MSS, respectively); final conclusions can be strongly altered. We demonstrate this by comparing outcomes with and without the exclusion, in a case where a Waverider buoy is believed to be free of biofouling. Determination of the appropriate frequency range is not limited to the observed spectra. Model evaluation involves considering whether all relevant frequencies are included. Guidance to make this decision is based on analysis of observed spectra. Two model frequency lower limits were considered. Energy in the observed spectrum below the model lower limit was calculated for each. For locations where long swell is a component of the wave climate, omitting the energy in the frequency band between the two lower limits tested can lead to an incomplete characterization of model performance. This methodology was developed to aid in selecting a comparison frequency range that does not needlessly increase computational expense and does not exclude energy to the detriment of model performance analysis.

  7. NASA chief scientist visit

    NASA Image and Video Library

    2011-07-19

    NASA Chief Scientist Dr. Waleed Abdalati visited Stennis Space Center on July 19, to learn about the extensive science capabilities onsite. Shown at right are: (seated, l to r), Stennis Center Director Patrick Scheuermann; Dr. Abdalati; U.S. Navy Rear Adm. Jonathan White; NOAA National Data Buoy Center Program Manager Shannon McArthur; (standing, l to r) Stennis Project Directorate Assistant Director Anne Peek; Stennis Applied Science & Technology Project Office Chief Duane Armstrong; and Stennis Project Directorate Director Keith Brock.

  8. Comparison of QuikSCAT and GPS-Derived Ocean Surface Winds

    NASA Technical Reports Server (NTRS)

    Axelrad, Penina

    2001-01-01

    The Colorado Center for Astrodynamics has completed a study comparing ocean surface winds derived from GPS bistatic measurements with QuikSCAT wind fields. We have also compiled an extensive database of the bistatic GPS flight data collected by NASA Langley Research Center over the last several years. The GPS data are augmented with coincident data from QuikSCAT, buoys, TOPEX, and ERS.

  9. Assessment of the Water Levels and Currents at the Mississippi Bight During Hurricane Katrina.

    NASA Astrophysics Data System (ADS)

    Nwankwo, U. C.; Howden, S. D.; Dodd, D.; Wells, D. E.

    2017-12-01

    In an effort to extend the length of GPS baselines further offshore, the Hydrographic Science Research Center at the University of Southern Mississippi deployed a buoy which had a survey grade GPS receiver, an ADPC and a motion sensor unit in the Mississippi Bight in late 2004. The GPS data were initially processed using the Post Processed Kinematic technique with data from a nearby GPS base station on Horn Island. This processing technique discontinued when the storm (Hurricane Katrina) destroyed the base station in late August of 2005. However, since then a stand-alone positioning technique termed Precise Point Positioning (PPP) matured and allowed for the reprocessing of the buoy GPS data throughout Katrina. The processed GPS data were corrected for buoy angular motions using Tait Bryan transformation model. Tidal datums (Epoch 1983-2001) were transferred from the National Oceanic and Atmospheric Administration (NOAA) National Water Level at Waveland, Mississippi (Station ID 8747766) to the buoy using the Modified Range Ratio method. The maximum water level during the storm was found to be about 3.578m, relative to the transferred Mean Sea Level datum. The storm surge built over more than 24 hours, but fell back to normal levels in less than 3 hours. The maximum speed of the current with respect to the seafloor was recorded to be about 4knots towards the southeast as the storm surge moved back offshore.

  10. Calibration of the TOPEX altimeter using a GPS buoy

    NASA Technical Reports Server (NTRS)

    Born, G. H.; Parke, Michael E.; Axelrad, P.; Gold, K. L.; Johnson, James; Key, K.; Kubitschek, Daniel G.; Christensen, Edward J.

    1994-01-01

    The use of a spar buoy equipped with a Global Positioning System (GPS) antenna to calibrate the height measurement of the TOPEX radar altimeter is described. In order to determine the height of the GPS antenna phase center above the ocean surface, the buoy was also equipped with instrumentation to measure the instantaneous location of the waterline, and tilt of the bouy from vertical. The experiment was conducted off the California coast near the Texaco offshore oil platform, Harvest, during cycle 34 of the TOPEX/POSEIDON observational period. GPS solutions were computed for the bouy position using two different software packages, K&RS and GIPSY-OASIS II. These solutions were combined with estimates of the waterline location on the bouy to yield the height of the ocean surface. The ocean surface height in an absolute coordinate system combined with knowledge of the spacecraft height from tracking data provides a computed altimeter range measurement. By comparing this computed value to the actual altimeter measurement, the altimeter bias can be calibrated. The altimeter height bias obtained with the buoy using K&RS was -14.6 +/- 4 cm, while with GIPSY-OASIS II it was -13.1 +/- 4 cm. These are 0.1 cm and 1.6 cm different from the -14.7 +/- 4 cm result obtained for this flight overflight with the tide gauge instruments located on Platform Harvest.

  11. Controllable Buoys and Networked Buoy Systems

    NASA Technical Reports Server (NTRS)

    Davoudi, Farhooman (Inventor); Davoodi, Faranak (Inventor)

    2017-01-01

    Buoyant sensor networks are described, comprising floating buoys with sensors and energy harvesting capabilities. The buoys can control their buoyancy and motion, and can organize communication in a distributed fashion. Some buoys may have tethered underwater vehicles with a smart spooling system that allows the vehicles to dive deep underwater while remaining in communication and connection with the buoys.

  12. Accuracy of data buoys for measurement of cyanobacteria, chlorophyll, and turbidity in a large lake (Lake Erie, North America): implications for estimation of cyanobacterial bloom parameters from water quality sonde measurements.

    PubMed

    Chaffin, Justin D; Kane, Douglas D; Stanislawczyk, Keara; Parker, Eric M

    2018-06-25

    Microcystin (MCY)-producing harmful cyanobacterial blooms (cHABs) are an annual occurrence in Lake Erie, and buoys equipped with water quality sondes have been deployed to help researchers and resource managers track cHABs. The objective of this study was to determine how well water quality sondes attached to buoys measure total algae and cyanobacterial biomass and water turbidity. Water samples were collected next to two data buoys in western Lake Erie (near Gibraltar Island and in the Sandusky subbasin) throughout summers 2015, 2016, and 2017 to determine correlations between buoy sonde data and water sample data. MCY and nutrient concentrations were also measured. Significant (P < 0.001) linear relationships (R 2  > 0.75) occurred between cyanobacteria buoy and water sample data at the Gibraltar buoy, but not at the Sandusky buoy; however, the coefficients at the Gibraltar buoy differed significantly across years. There was a significant correlation between buoy and water sample total chlorophyll data at both buoys, but the coefficient varied considerably between buoys and among years. Total MCY concentrations at the Gibraltar buoy followed similar temporal patterns as buoy and water sample cyanobacterial biomass data, and the ratio of MCY to cyanobacteria-chlorophyll decreased with decreased ambient nitrate concentrations. These results suggest that buoy data are difficult to compare across time and space. Additionally, the inclusion of nitrate concentration data can lead to more robust predictions on the relative toxicity of blooms. Overall, deployed buoys with sondes that are routinely cleaned and calibrated can track relative cyanobacteria abundance and be used as an early warning system for potentially toxic blooms.

  13. KSC Weather and Research

    NASA Technical Reports Server (NTRS)

    Maier, Launa; Huddleston, Lisa; Smith, Kristin

    2016-01-01

    This briefing outlines the history of Kennedy Space Center (KSC) Weather organization, past research sponsored or performed, current organization, responsibilities, and activities, the evolution of weather support, future technologies, and an update on the status of the buoys located offshore of Cape Canaveral Air Force Station and KSC.

  14. Borrow the Buoys: DOE’s Lidar Buoy Loan Program

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    None

    2017-02-27

    After a 19-month deployment off the coast of Virginia, one of PNNL’s research buoys has returned to shore where researchers can analyze the data recorded by the buoy. The data revealed a few major takeaways that will inform future buoy deployments, including the times and conditions when data measurement is most accurate. Through the Department of Energy's Wind Energy Technologies Office's Lidar Buoy Loan Program, managed by PNNL, interested parties can borrow the buoys for year and contribute invaluable data to the wind energy community.

  15. A Portable Airborne Scanning Lidar System for Ocean and Coastal Applications

    DTIC Science & Technology

    2009-06-26

    available online at http://www.ndbc.noaa.gov/) and Hs by the Coastal Data Information Program ( CDIP ) Station 100 (available online at http...storm events (Fig. 9). Significant wave height (Hs) for Novem- ber and December 2008, measured by CDIP station 043, located 2.7 km offshore of the

  16. 33 CFR 162.255 - Wrangell Narrows, Alaska; use, administration, and navigation.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... Channel Buoy 1 TC. East of Tow Channel Buoy 3 TC. West of Tow Channel Buoy 4 TC. East of Colorado Reef... Tow Channel Buoy 5 TC. East of Tow Channel Buoy 7 TC. West of Petersburg: East of Wrangell Narrows...

  17. 33 CFR 162.255 - Wrangell Narrows, Alaska; use, administration, and navigation.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... Channel Buoy 1 TC. East of Tow Channel Buoy 3 TC. West of Tow Channel Buoy 4 TC. East of Colorado Reef... Tow Channel Buoy 5 TC. East of Tow Channel Buoy 7 TC. West of Petersburg: East of Wrangell Narrows...

  18. Improved Anti-Submarine Warfare (ASW) Effectiveness MSSE Capstone Project

    DTIC Science & Technology

    2008-06-01

    9 - Barrier System RMA Data Component MTBF MTTR Source Buoy 9,600 Hours Not Repairable During Mission [Ref 70, Lumpkin and Pazos , 2004...and Mayra Pazos , “Lifetime Statistics of Most Recent Drifter Deployments (2002-2003),” Global Drifter Program/ Drifter Data Assembly Center, NOAA

  19. Development of a GPS buoy system for monitoring tsunami, sea waves, ocean bottom crustal deformation and atmospheric water vapor

    NASA Astrophysics Data System (ADS)

    Kato, Teruyuki; Terada, Yukihiro; Nagai, Toshihiko; Koshimura, Shun'ichi

    2010-05-01

    We have developed a GPS buoy system for monitoring tsunami for over 12 years. The idea was that a buoy equipped with a GPS antenna and placed offshore may be an effective way of monitoring tsunami before its arrival to the coast and to give warning to the coastal residents. The key technology for the system is real-time kinematic (RTK) GPS technology. We have successfully developed the system; we have detected tsunamis of about 10cm in height for three large earthquakes, namely, the 23 June 2001 Peru earthquake (Mw8.4), the 26 September 2003 Tokachi earthquake (Mw8.3) and the 5 September 2004 earthquake (Mw7.4). The developed GPS buoy system is also capable of monitoring sea waves that are mainly caused by winds. Only the difference between tsunami and sea waves is their frequency range and can be segregated each other by a simple filtering technique. Given the success of GPS buoy experiments, the system has been adopted as a part of the Nationwide Ocean Wave information system for Port and HArborS (NOWPHAS) by the Ministry of Land, Infrastructure, Transport and Tourism of Japan. They have established more than eight GPS buoys along the Japanese coasts and the system has been operated by the Port and Airport Research Institute. As a future scope, we are now planning to implement some other additional facilities for the GPS buoy system. The first application is a so-called GPS/Acoustic system for monitoring ocean bottom crustal deformation. The system requires acoustic waves to detect ocean bottom reference position, which is the geometrical center of an array of transponders, by measuring distances between a position at the sea surface (vessel) and ocean bottom equipments to return the received sonic wave. The position of the vessel is measured using GPS. The system was first proposed by a research group at the Scripps Institution of Oceanography in early 1980's. The system was extensively developed by Japanese researchers and is now capable of detecting ocean bottom positions with a few centimeters in accuracy. The system is now operational for more than ten sites along the Japanese coasts. Currently, however, the measurements are not continuous but have been done once to several times a year using a boat. If a GPS and acoustic system is placed on a buoy, ocean bottom position could be monitored in near real-time and continuous manner. This will allow us to monitor more detailed and short term crustal deformations at the sea bottom. Another application plan is for an atmospheric research. Previous researchers have shown that GPS is capable of measuring atmospheric water vapor through estimating tropospheric zenith delay measurements of GPS at the sea surface. Information of water vapor content and its temporal variation over sea surface will much contribute to weather forecast on land which has mostly been conducted only by land observations. Considering that the atmospheric mass moves from west to east in general in and around Japanese islands, information of water vapor together with other atmospheric data from an array of GPS buoy placed in the west of Japanese Islands, will much improve weather forecast. We try to examine if this is also feasible. As a conclusion of a series of GPS buoy experiments, we could assert that GPS buoy system will be a powerful tool to monitor ocean surface and much contribute to provide safe and secure life of people.

  20. KSC-04pd1506

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - A dive boat is moored to the Life Support Buoy, anchored above the NOAA undersea station Aquarius, offshore from Key Largo. Underwater is the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team: (left to right) Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick, John Herrington and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy.

  1. Method for deploying and recovering a wave energy converter

    DOEpatents

    Mundon, Timothy R

    2017-05-23

    A system for transporting a buoy and a heave plate. The system includes a buoy and a heave plate. An outer surface of the buoy has a first geometrical shape. A surface of the heave plate has a geometrical shape complementary to the first geometrical shape of the buoy. The complementary shapes of the buoy and the heave plate facilitate coupling of the heave plate to the outer surface of the buoy in a transport mode.

  2. 33 CFR 66.10-15 - Aids to navigation.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... solid colored buoy. A buoy which marks the left side of the channel viewed looking upstream or toward... channel, solid colored buoys shall be established in pairs, one on each side of the navigable channel... that the user should pass between the buoys. (c) On an irregularly defined channel, solid colored buoys...

  3. 33 CFR 66.10-15 - Aids to navigation.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... solid colored buoy. A buoy which marks the left side of the channel viewed looking upstream or toward... channel, solid colored buoys shall be established in pairs, one on each side of the navigable channel... that the user should pass between the buoys. (c) On an irregularly defined channel, solid colored buoys...

  4. 33 CFR 66.10-15 - Aids to navigation.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... solid colored buoy. A buoy which marks the left side of the channel viewed looking upstream or toward... channel, solid colored buoys shall be established in pairs, one on each side of the navigable channel... that the user should pass between the buoys. (c) On an irregularly defined channel, solid colored buoys...

  5. Buoying Design Skills

    ERIC Educational Resources Information Center

    Bliss, Angela; Bell, Elizabeth; Spence, Lundie

    2013-01-01

    Oranges, flying disks, pool noodles, and polyvinyl chloride (PVC) pipe may seem like items discarded after a Rube Goldberg experiment, but in fact, these objects were used in teaching science, technology, engineering, and math (STEM). This article describes a project in which The Center of Ocean Sciences Education Excellence SouthEast (COSEE SE)…

  6. DOE Office of Scientific and Technical Information (OSTI.GOV)

    Jens Korsgaard

    The main conclusions from the work carried out under this contract are: An ordinary seafarer can learn by training on a simulator, to moor large tanker vessels to the Hydrostatic Mooring, safely and quickly, in all weather conditions up to storms generating waves with a significant wave height of 8 m. Complete conceptual design of the Hydrostatic Mooring buoy was carried out which proved that the buoy could be constructed entirely from commercially available standard components and materials. The design is robust, and damage resistant. The mooring tests had a 100% success rate from the point of view of themore » buoy being securely attached and moored to the vessel following every mooring attempt. The tests had an 80% success rate from the point of view of the buoy being adequately centered such that petroleum transfer equipment on the vessel could be attached to the corresponding equipment on the buoy. The results given in Table 3-2 of the mooring tests show a consistently improving performance from test to test by the Captain that performed the mooring operations. This is not surprising, in view of the fact that the Captain had only three days of training on the simulator prior to conducting the tests, that the maneuvering required is non-standard, and the test program itself lasted four days. One conclusion of the test performance is that the Captain was not fully trained at the initiation of the test. It may therefore be concluded that a thoroughly trained navigator would probably be able to make the mooring such that the fluid transfer equipment can be connected with reliability in excess of 90%. Considering that the typical standard buoy has enough power aboard to make eight mooring attempts, this implies that the probability that the mooring attempt should fail because of the inability to connect the fluid transfer equipment is of the order of 10{sup {minus}8}. It may therefore be concluded that the mooring operation between a Hydrostatic Mooring and a large tanker vessel can be carried out with near absolute reliability in all sea states up to a sea state where the significant wave height is 8 m.« less

  7. 46 CFR 28.115 - Ring life buoys.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 46 Shipping 1 2010-10-01 2010-10-01 false Ring life buoys. 28.115 Section 28.115 Shipping COAST... VESSELS Requirements for All Vessels § 28.115 Ring life buoys. (a) Except as provided in paragraph (b) of... life buoy as specified in table 28.115. If the vessel is equipped with a ring life buoy, at least one...

  8. 46 CFR 28.115 - Ring life buoys.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 46 Shipping 1 2011-10-01 2011-10-01 false Ring life buoys. 28.115 Section 28.115 Shipping COAST... VESSELS Requirements for All Vessels § 28.115 Ring life buoys. (a) Except as provided in paragraph (b) of... life buoy as specified in table 28.115. If the vessel is equipped with a ring life buoy, at least one...

  9. 46 CFR 28.115 - Ring life buoys.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 1 2012-10-01 2012-10-01 false Ring life buoys. 28.115 Section 28.115 Shipping COAST... VESSELS Requirements for All Vessels § 28.115 Ring life buoys. (a) Except as provided in paragraph (b) of... life buoy as specified in table 28.115. If the vessel is equipped with a ring life buoy, at least one...

  10. 46 CFR 28.115 - Ring life buoys.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 1 2014-10-01 2014-10-01 false Ring life buoys. 28.115 Section 28.115 Shipping COAST... VESSELS Requirements for All Vessels § 28.115 Ring life buoys. (a) Except as provided in paragraph (b) of... life buoy as specified in table 28.115. If the vessel is equipped with a ring life buoy, at least one...

  11. 46 CFR 28.115 - Ring life buoys.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 1 2013-10-01 2013-10-01 false Ring life buoys. 28.115 Section 28.115 Shipping COAST... VESSELS Requirements for All Vessels § 28.115 Ring life buoys. (a) Except as provided in paragraph (b) of... life buoy as specified in table 28.115. If the vessel is equipped with a ring life buoy, at least one...

  12. 46 CFR 117.70 - Ring life buoys.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 46 Shipping 4 2011-10-01 2011-10-01 false Ring life buoys. 117.70 Section 117.70 Shipping COAST... Ring Life Buoys and Life Jackets § 117.70 Ring life buoys. (a) A vessel must have one or more ring life... one life buoy of not less than 510 millimeters (20 inches) in diameter; (2) A vessel of more than 7.9...

  13. 46 CFR 117.70 - Ring life buoys.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Ring life buoys. 117.70 Section 117.70 Shipping COAST... Ring Life Buoys and Life Jackets § 117.70 Ring life buoys. (a) A vessel must have one or more ring life... one life buoy of not less than 510 millimeters (20 inches) in diameter; (2) A vessel of more than 7.9...

  14. 46 CFR 180.70 - Ring life buoys.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 46 Shipping 7 2011-10-01 2011-10-01 false Ring life buoys. 180.70 Section 180.70 Shipping COAST...) LIFESAVING EQUIPMENT AND ARRANGEMENTS Ring Life Buoys and Life Jackets § 180.70 Ring life buoys. (a) A vessel must have one or more ring life buoys as follows: (1) A vessel of not more than 7.9 meters (26 feet) in...

  15. 46 CFR 180.70 - Ring life buoys.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 46 Shipping 7 2010-10-01 2010-10-01 false Ring life buoys. 180.70 Section 180.70 Shipping COAST...) LIFESAVING EQUIPMENT AND ARRANGEMENTS Ring Life Buoys and Life Jackets § 180.70 Ring life buoys. (a) A vessel must have one or more ring life buoys as follows: (1) A vessel of not more than 7.9 meters (26 feet) in...

  16. 46 CFR 180.70 - Ring life buoys.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 7 2012-10-01 2012-10-01 false Ring life buoys. 180.70 Section 180.70 Shipping COAST...) LIFESAVING EQUIPMENT AND ARRANGEMENTS Ring Life Buoys and Life Jackets § 180.70 Ring life buoys. (a) A vessel must have one or more ring life buoys as follows: (1) A vessel of not more than 7.9 meters (26 feet) in...

  17. 46 CFR 117.70 - Ring life buoys.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 4 2014-10-01 2014-10-01 false Ring life buoys. 117.70 Section 117.70 Shipping COAST... Ring Life Buoys and Life Jackets § 117.70 Ring life buoys. (a) A vessel must have one or more ring life... one life buoy of not less than 510 millimeters (20 inches) in diameter; (2) A vessel of more than 7.9...

  18. 46 CFR 117.70 - Ring life buoys.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 4 2012-10-01 2012-10-01 false Ring life buoys. 117.70 Section 117.70 Shipping COAST... Ring Life Buoys and Life Jackets § 117.70 Ring life buoys. (a) A vessel must have one or more ring life... one life buoy of not less than 510 millimeters (20 inches) in diameter; (2) A vessel of more than 7.9...

  19. 46 CFR 180.70 - Ring life buoys.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 7 2013-10-01 2013-10-01 false Ring life buoys. 180.70 Section 180.70 Shipping COAST...) LIFESAVING EQUIPMENT AND ARRANGEMENTS Ring Life Buoys and Life Jackets § 180.70 Ring life buoys. (a) A vessel must have one or more ring life buoys as follows: (1) A vessel of not more than 7.9 meters (26 feet) in...

  20. 46 CFR 117.70 - Ring life buoys.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 4 2013-10-01 2013-10-01 false Ring life buoys. 117.70 Section 117.70 Shipping COAST... Ring Life Buoys and Life Jackets § 117.70 Ring life buoys. (a) A vessel must have one or more ring life... one life buoy of not less than 510 millimeters (20 inches) in diameter; (2) A vessel of more than 7.9...

  1. 46 CFR 180.70 - Ring life buoys.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 7 2014-10-01 2014-10-01 false Ring life buoys. 180.70 Section 180.70 Shipping COAST...) LIFESAVING EQUIPMENT AND ARRANGEMENTS Ring Life Buoys and Life Jackets § 180.70 Ring life buoys. (a) A vessel must have one or more ring life buoys as follows: (1) A vessel of not more than 7.9 meters (26 feet) in...

  2. Dynamics of anchor last deployment of submersible buoy system

    NASA Astrophysics Data System (ADS)

    Zheng, Zhongqiang; Xu, Jianpeng; Huang, Peng; Wang, Lei; Yang, Xiaoguang; Chang, Zongyu

    2016-02-01

    Submersible buoy systems are widely used for oceanographic research, ocean engineering and coastal defense. Severe sea environment has obvious effects on the dynamics of submersible buoy systems. Huge tension can occur and may cause the snap of cables, especially during the deployment period. This paper studies the deployment dynamics of submersible buoy systems with numerical and experimental methods. By applying the lumped mass approach, a three-dimensional multi-body model of submersible buoy system is developed considering the hydrodynamic force, tension force and impact force between components of submersible buoy system and seabed. Numerical integration method is used to solve the differential equations. The simulation output includes tension force, trajectory, profile and dropping location and impact force of submersible buoys. In addition, the deployment experiment of a simplified submersible buoy model was carried out. The profile and different nodes' velocities of the submersible buoy are obtained. By comparing the results of the two methods, it is found that the numerical model well simulates the actual process and conditions of the experiment. The simulation results agree well with the results of the experiment such as gravity anchor's location and velocities of different nodes of the submersible buoy. The study results will help to understand the conditions of submersible buoy's deployment, operation and recovery, and can be used to guide the design and optimization of the system.

  3. 50 CFR 622.31 - Buoy gear identification.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... ADMINISTRATION, DEPARTMENT OF COMMERCE FISHERIES OF THE CARIBBEAN, GULF OF MEXICO, AND SOUTH ATLANTIC Reef Fish Resources of the Gulf of Mexico § 622.31 Buoy gear identification. (a) Buoy gear. In the Gulf EEZ, if buoy...

  4. Multiple Solutions of Real-time Tsunami Forecasting Using Short-term Inundation Forecasting for Tsunamis Tool

    NASA Astrophysics Data System (ADS)

    Gica, E.

    2016-12-01

    The Short-term Inundation Forecasting for Tsunamis (SIFT) tool, developed by NOAA Center for Tsunami Research (NCTR) at the Pacific Marine Environmental Laboratory (PMEL), is used in forecast operations at the Tsunami Warning Centers in Alaska and Hawaii. The SIFT tool relies on a pre-computed tsunami propagation database, real-time DART buoy data, and an inversion algorithm to define the tsunami source. The tsunami propagation database is composed of 50×100km unit sources, simulated basin-wide for at least 24 hours. Different combinations of unit sources, DART buoys, and length of real-time DART buoy data can generate a wide range of results within the defined tsunami source. For an inexperienced SIFT user, the primary challenge is to determine which solution, among multiple solutions for a single tsunami event, would provide the best forecast in real time. This study investigates how the use of different tsunami sources affects simulated tsunamis at tide gauge locations. Using the tide gauge at Hilo, Hawaii, a total of 50 possible solutions for the 2011 Tohoku tsunami are considered. Maximum tsunami wave amplitude and root mean square error results are used to compare tide gauge data and the simulated tsunami time series. Results of this study will facilitate SIFT users' efforts to determine if the simulated tide gauge tsunami time series from a specific tsunami source solution would be within the range of possible solutions. This study will serve as the basis for investigating more historical tsunami events and tide gauge locations.

  5. Arctic Observing Experiment (AOX) Field Campaign Report

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Rigor, Ignatius; Johnson, Jim; Motz, Emily

    Our ability to understand and predict weather and climate requires an accurate observing network. One of the pillars of this network is the observation of the fundamental meteorological parameters: temperature, air pressure, and wind. We plan to assess our ability to measure these parameters for the polar regions during the Arctic Observing Experiment (AOX, Figure 1) to support the International Arctic Buoy Programme (IABP), Arctic Observing Network (AON), International Program for Antarctic Buoys (IPAB), and Southern Ocean Observing System (SOOS). Accurate temperature measurements are also necessary to validate and improve satellite measurements of surface temperature across the Arctic. Support formore » research associated with the campaign is provided by the National Science Foundation, and by other US agencies contributing to the US Interagency Arctic Buoy Program. In addition to the support provided by the U.S Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s North Slope of Alaska (NSA) site at Barrow and the National Science Foundation (NSF), the U.S. IABP is supported by the U.S. Coast Guard (USCG), the National Aeronautics and Space Administration (NASA), the National Ice Center (NIC), the National Oceanic and Atmospheric Administration (NOAA), and the Office of Naval Research (ONR).« less

  6. Gulf of Maine Research Institute | Welcome

    Science.gov Websites

    Home GoMOOS Products now on NERACOOS Real-time Buoy Conditions for the Northeast Region-wide Buoy Regional buoy Lat/Lon lines * Inactive buoy Loading... Real Time Data from the Gulf of Maine From the map

  7. Development of a GNSS Buoy for Monitoring Water Surface Elevations in Estuaries and Coastal Areas.

    PubMed

    Lin, Yen-Pin; Huang, Ching-Jer; Chen, Sheng-Hsueh; Doong, Dong-Jiing; Kao, Chia Chuen

    2017-01-18

    In this work, a Global Navigation Satellite System (GNSS) buoy that utilizes a Virtual Base Station (VBS) combined with the Real-Time Kinematic (RTK) positioning technology was developed to monitor water surface elevations in estuaries and coastal areas. The GNSS buoy includes a buoy hull, a RTK GNSS receiver, data-transmission devices, a data logger, and General Purpose Radio Service (GPRS) modems for transmitting data to the desired land locations. Laboratory and field tests were conducted to test the capability of the buoy and verify the accuracy of the monitored water surface elevations. For the field tests, the GNSS buoy was deployed in the waters of Suao (northeastern part of Taiwan). Tide data obtained from the GNSS buoy were consistent with those obtained from the neighboring tide station. Significant wave heights, zero-crossing periods, and peak wave directions obtained from the GNSS buoy were generally consistent with those obtained from an accelerometer-tilt-compass (ATC) sensor. The field tests demonstrate that the developed GNSS buoy can be used to obtain accurate real-time tide and wave data in estuaries and coastal areas.

  8. Development of a GNSS Buoy for Monitoring Water Surface Elevations in Estuaries and Coastal Areas

    PubMed Central

    Lin, Yen-Pin; Huang, Ching-Jer; Chen, Sheng-Hsueh; Doong, Dong-Jiing; Kao, Chia Chuen

    2017-01-01

    In this work, a Global Navigation Satellite System (GNSS) buoy that utilizes a Virtual Base Station (VBS) combined with the Real-Time Kinematic (RTK) positioning technology was developed to monitor water surface elevations in estuaries and coastal areas. The GNSS buoy includes a buoy hull, a RTK GNSS receiver, data-transmission devices, a data logger, and General Purpose Radio Service (GPRS) modems for transmitting data to the desired land locations. Laboratory and field tests were conducted to test the capability of the buoy and verify the accuracy of the monitored water surface elevations. For the field tests, the GNSS buoy was deployed in the waters of Suao (northeastern part of Taiwan). Tide data obtained from the GNSS buoy were consistent with those obtained from the neighboring tide station. Significant wave heights, zero-crossing periods, and peak wave directions obtained from the GNSS buoy were generally consistent with those obtained from an accelerometer-tilt-compass (ATC) sensor. The field tests demonstrate that the developed GNSS buoy can be used to obtain accurate real-time tide and wave data in estuaries and coastal areas. PMID:28106763

  9. Mixed-methods analytic approach for determining potential impacts of vessel noise on sperm whale click behavior.

    PubMed

    Azzara, Alyson J; von Zharen, Wyndylyn M; Newcomb, Joal J

    2013-12-01

    The Gulf of Mexico is a center of marine activities from seismic exploration to shipping, drilling, platform installation, lightering, and construction, among others. This analysis explored whether sperm whales respond to the passage of vessels using changes in total number of clicks during vessel passages as a proxy for potential variation in behavior. The data for this analysis were collected in 2001 as part of a larger Littoral Acoustic Demonstration Center project using the Environmental Acoustics Recording System buoys. These buoys were bottom moored, autonomous, and self-recording systems consisting of an omni-directional hydrophone and instrument package. Data from 36 days of continuous acoustic monitoring were recorded at a sampling rate of 11.725 kHz, and produced reliable recordings from 5 Hz to ∼5.8 kHz. Multiple preparatory steps were executed including calibration of an automatic click detector. Results indicate a significant decrease (32%) in the number of clicks detected as a ship approached an area. There were also significantly fewer clicks detected after the vessel passed than before (23%).

  10. 33 CFR 149.565 - What are the required characteristics and intensity of lights on buoys used to define traffic lanes?

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... define traffic lanes? (a) The buoy's light color that defines the lateral boundaries of a traffic lane must comply with the buoy color schemes in § 62.25 of this chapter. (b) The buoy light may be fixed or... characteristics and intensity of lights on buoys used to define traffic lanes? 149.565 Section 149.565 Navigation...

  11. 33 CFR 149.565 - What are the required characteristics and intensity of lights on buoys used to define traffic lanes?

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... define traffic lanes? (a) The buoy's light color that defines the lateral boundaries of a traffic lane must comply with the buoy color schemes in § 62.25 of this chapter. (b) The buoy light may be fixed or... characteristics and intensity of lights on buoys used to define traffic lanes? 149.565 Section 149.565 Navigation...

  12. 33 CFR 149.565 - What are the required characteristics and intensity of lights on buoys used to define traffic lanes?

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... define traffic lanes? (a) The buoy's light color that defines the lateral boundaries of a traffic lane must comply with the buoy color schemes in § 62.25 of this chapter. (b) The buoy light may be fixed or... characteristics and intensity of lights on buoys used to define traffic lanes? 149.565 Section 149.565 Navigation...

  13. 33 CFR 149.565 - What are the required characteristics and intensity of lights on buoys used to define traffic lanes?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... define traffic lanes? (a) The buoy's light color that defines the lateral boundaries of a traffic lane must comply with the buoy color schemes in § 62.25 of this chapter. (b) The buoy light may be fixed or... characteristics and intensity of lights on buoys used to define traffic lanes? 149.565 Section 149.565 Navigation...

  14. 33 CFR 149.565 - What are the required characteristics and intensity of lights on buoys used to define traffic lanes?

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... define traffic lanes? (a) The buoy's light color that defines the lateral boundaries of a traffic lane must comply with the buoy color schemes in § 62.25 of this chapter. (b) The buoy light may be fixed or... characteristics and intensity of lights on buoys used to define traffic lanes? 149.565 Section 149.565 Navigation...

  15. An array effect of wave energy farm buoys

    NASA Astrophysics Data System (ADS)

    Kweon, Hyuck-Min; Lee, Jung-Lyul

    2012-12-01

    An ocean buoy energy farm is considered for Green energy generation and delivery to small towns along the Korean coast. The present studypresents that the floating buoy-type energy farm appears to be sufficiently feasible fortrapping more energy compared to afixed cylinder duck array. It is also seen from the numerical resultsthat the resonated waves between spaced buoys are further trapped by floating buoy motion.Our numerical study is analyzed by a plane-wave approximation, in which evanescent mode effects are included in a modified mild-slope equation based on the scattering characteristics for a single buoy.

  16. Field tests of acoustic telemetry for a portable coastal observatory

    USGS Publications Warehouse

    Martini, M.; Butman, B.; Ware, J.; Frye, D.

    2006-01-01

    Long-term field tests of a low-cost acoustic telemetry system were carried out at two sites in Massachusetts Bay. At each site, an acoustic Doppler current profiler mounted on a bottom tripod was fitted with an acoustic modem to transmit data to a surface buoy; electronics mounted on the buoy relayed these data to shore via radio modem. The mooring at one site (24 m water depth) was custom-designed for the telemetry application, with a custom designed small buoy, a flexible electro-mechanical buoy to mooring joint using a molded chain connection to the buoy, quick-release electro-mechanical couplings, and dual hydrophones suspended 7 m above the bottom. The surface buoy at the second site (33 m water depth) was a U.S. Coast Guard (USCG) channel buoy fitted with telemetry electronics and clamps to hold the hydrophones. The telemetry was tested in several configurations for a period of about four years. The custom-designed buoy and mooring provided nearly error-free data transmission through the acoustic link under a variety of oceanographic conditions for 261 days at the 24 m site. The electro mechanical joint, cables and couplings required minimal servicing and were very reliable, lasting 862 days deployed before needing repairs. The acoustic communication results from the USCG buoy were poor, apparently due to the hard cobble bottom, noise from the all-steel buoy, and failure of the hydrophone assembly. Access to the USCG buoy at sea required ideal weather. ??2006 IEEE.

  17. Evaluating the Effectiveness of DART® Buoy Networks Based on Forecast Accuracy

    NASA Astrophysics Data System (ADS)

    Percival, Donald B.; Denbo, Donald W.; Gica, Edison; Huang, Paul Y.; Mofjeld, Harold O.; Spillane, Michael C.; Titov, Vasily V.

    2018-04-01

    A performance measure for a DART® tsunami buoy network has been developed. DART® buoys are used to detect tsunamis, but the full potential of the data they collect is realized through accurate forecasts of inundations caused by the tsunamis. The performance measure assesses how well the network achieves its full potential through a statistical analysis of simulated forecasts of wave amplitudes outside an impact site and a consideration of how much the forecasts are degraded in accuracy when one or more buoys are inoperative. The analysis uses simulated tsunami amplitude time series collected at each buoy from selected source segments in the Short-term Inundation Forecast for Tsunamis database and involves a set for 1000 forecasts for each buoy/segment pair at sites just offshore of selected impact communities. Random error-producing scatter in the time series is induced by uncertainties in the source location, addition of real oceanic noise, and imperfect tidal removal. Comparison with an error-free standard leads to root-mean-square errors (RMSEs) for DART® buoys located near a subduction zone. The RMSEs indicate which buoy provides the best forecast (lowest RMSE) for sections of the zone, under a warning-time constraint for the forecasts of 3 h. The analysis also shows how the forecasts are degraded (larger minimum RMSE among the remaining buoys) when one or more buoys become inoperative. The RMSEs provide a way to assess array augmentation or redesign such as moving buoys to more optimal locations. Examples are shown for buoys off the Aleutian Islands and off the West Coast of South America for impact sites at Hilo HI and along the US West Coast (Crescent City CA and Port San Luis CA, USA). A simple measure (coded green, yellow or red) of the current status of the network's ability to deliver accurate forecasts is proposed to flag the urgency of buoy repair.

  18. Evaluating the Effectiveness of DART® Buoy Networks Based on Forecast Accuracy

    NASA Astrophysics Data System (ADS)

    Percival, Donald B.; Denbo, Donald W.; Gica, Edison; Huang, Paul Y.; Mofjeld, Harold O.; Spillane, Michael C.; Titov, Vasily V.

    2018-03-01

    A performance measure for a DART® tsunami buoy network has been developed. DART® buoys are used to detect tsunamis, but the full potential of the data they collect is realized through accurate forecasts of inundations caused by the tsunamis. The performance measure assesses how well the network achieves its full potential through a statistical analysis of simulated forecasts of wave amplitudes outside an impact site and a consideration of how much the forecasts are degraded in accuracy when one or more buoys are inoperative. The analysis uses simulated tsunami amplitude time series collected at each buoy from selected source segments in the Short-term Inundation Forecast for Tsunamis database and involves a set for 1000 forecasts for each buoy/segment pair at sites just offshore of selected impact communities. Random error-producing scatter in the time series is induced by uncertainties in the source location, addition of real oceanic noise, and imperfect tidal removal. Comparison with an error-free standard leads to root-mean-square errors (RMSEs) for DART® buoys located near a subduction zone. The RMSEs indicate which buoy provides the best forecast (lowest RMSE) for sections of the zone, under a warning-time constraint for the forecasts of 3 h. The analysis also shows how the forecasts are degraded (larger minimum RMSE among the remaining buoys) when one or more buoys become inoperative. The RMSEs provide a way to assess array augmentation or redesign such as moving buoys to more optimal locations. Examples are shown for buoys off the Aleutian Islands and off the West Coast of South America for impact sites at Hilo HI and along the US West Coast (Crescent City CA and Port San Luis CA, USA). A simple measure (coded green, yellow or red) of the current status of the network's ability to deliver accurate forecasts is proposed to flag the urgency of buoy repair.

  19. 33 CFR 149.320 - What are the requirements for ring life buoys?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... length. The light must be mounted on a bracket near the ring life buoy so that, when the ring life buoy is cast loose, the light will be pulled free of the bracket. (c) To each ring life buoy, there must...

  20. Near-Inertial Surface Currents and their influence on Surface Dispersion in the Northeastern Gulf of Mexico near the Deepwater Horizon Oil Spill

    NASA Astrophysics Data System (ADS)

    Gough, M.; Reniers, A.; MacMahan, J. H.; Howden, S. D.

    2014-12-01

    The continental shelf along the northeastern Gulf of Mexico is transected by the critical latitude (30°N) for inertial motions. At this latitude the inertial period is 24 hours and diurnal surface current oscillations can amplify due to resonance with diurnal wind and tidal forcing. Tidal amplitudes are relatively small in this region although K1 tidal currents can be strong over the shelf west of the DeSoto Canyon where the K1 tide propagates onshore as a Sverdrup wave. Other sources of diurnal motions include internal tidal currents, Poincaré waves, and basin resonance. It is therefore very difficult to separate inertial wind-driven motions from other diurnal motions. Spatiotemporal surface currents were measured using hourly 6 km resolution HF radar data collected in June 2010 during the Deepwater Horizon oil spill and July 2012 during the Grand Lagrangian Deployment (GLAD). Surface currents were also measured using GLAD GPS-tracked drifters. NDBC buoy wind data were used to determine wind-forcing, and OSU Tidal Inversion Software (OTIS) were used to predict tidal currents. The relative spatiotemporal influence of diurnal wind and tidal forcing on diurnal surface current oscillations is determined through a series of comparative analyses: phase and amplitude of bandpassed timeseries, wavelet analyses, wind-driven inertial oscillation calculations, and tidal current predictions. The wind-driven inertial ocean response is calculated by applying a simple "slab" model where wind-forcing is allowed to excite a layer of low-density water riding over high density water. The spatial variance of diurnal motions are found to be correlated with satellite turbidity imagery indicating that stratification influences the sea surface inertial response to wind-forcing. Surface dispersion is found to be minimized in regions of high diurnal variance suggesting that mean surface transport is restricted in regions of inertial motions associated with stratification.

  1. 33 CFR 144.01-25 - Ring life buoys.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 2 2011-07-01 2011-07-01 false Ring life buoys. 144.01-25...) OUTER CONTINENTAL SHELF ACTIVITIES LIFESAVING APPLIANCES Manned Platforms § 144.01-25 Ring life buoys. (a) Each manned platform must have at least four approved ring life buoys constructed in accordance...

  2. 33 CFR 144.01-25 - Ring life buoys.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false Ring life buoys. 144.01-25...) OUTER CONTINENTAL SHELF ACTIVITIES LIFESAVING APPLIANCES Manned Platforms § 144.01-25 Ring life buoys. (a) Each manned platform must have at least four approved ring life buoys constructed in accordance...

  3. 33 CFR 144.01-25 - Ring life buoys.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 2 2014-07-01 2014-07-01 false Ring life buoys. 144.01-25...) OUTER CONTINENTAL SHELF ACTIVITIES LIFESAVING APPLIANCES Manned Platforms § 144.01-25 Ring life buoys. (a) Each manned platform must have at least four approved ring life buoys constructed in accordance...

  4. 33 CFR 144.01-25 - Ring life buoys.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false Ring life buoys. 144.01-25...) OUTER CONTINENTAL SHELF ACTIVITIES LIFESAVING APPLIANCES Manned Platforms § 144.01-25 Ring life buoys. (a) Each manned platform must have at least four approved ring life buoys constructed in accordance...

  5. 33 CFR 144.01-25 - Ring life buoys.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 33 Navigation and Navigable Waters 2 2012-07-01 2012-07-01 false Ring life buoys. 144.01-25...) OUTER CONTINENTAL SHELF ACTIVITIES LIFESAVING APPLIANCES Manned Platforms § 144.01-25 Ring life buoys. (a) Each manned platform must have at least four approved ring life buoys constructed in accordance...

  6. Water Power Data and Tools | Water Power | NREL

    Science.gov Websites

    computer modeling tools and data with state-of-the-art design and analysis. Photo of a buoy designed around National Wind Technology Center's Information Portal as well as a WEC-Sim fact sheet. WEC Design Response Toolbox The WEC Design Response Toolbox provides extreme response and fatigue analysis tools specifically

  7. An atlas of monthly mean distributions of SSMI surface wind speed, ARGOS buoy drift, AVHRR/2 sea surface temperature, and ECMWF surface wind components during 1990

    NASA Technical Reports Server (NTRS)

    Halpern, D.; Knauss, W.; Brown, O.; Wentz, F.

    1993-01-01

    The following monthly mean global distributions for 1990 are proposed with a common color scale and geographical map: 10-m height wind speed estimated from the Special Sensor Microwave Imager (SSMI) on a United States (US) Air Force Defense Meteorological Satellite Program (DMSP) spacecraft; sea surface temperature estimated from the advanced very high resolution radiometer (AVHRR/2) on a U.S. National Oceanic and Atmospheric Administration (NOAA) spacecraft; Cartesian components of free drifting buoys which are tracked by the ARGOS navigation system on NOAA satellites; and Cartesian components on the 10-m height wind vector computed by the European Center for Medium-Range Weather Forecasting (ECMWF). Charts of monthly mean value, sampling distribution, and standard deviation values are displayed. Annual mean distributions are displayed.

  8. An atlas of monthly mean distributions of SSMI surface wind speed, ARGOS buoy drift, AVHRR/2 sea surface temperature, and ECMWF surface wind components during 1991

    NASA Technical Reports Server (NTRS)

    Halpern, D.; Knauss, W.; Brown, O.; Wentz, F.

    1993-01-01

    The following monthly mean global distributions for 1991 are presented with a common color scale and geographical map: 10-m height wind speed estimated from the Special Sensor Microwave Imager (SSMI) on a United States Air Force Defense Meteorological Satellite Program (DMSP) spacecraft; sea surface temperature estimated from the advanced very high resolution radiometer (AVHRR/2) on a U.S. National Oceanic and Atmospheric Administration (NOAA) spacecraft; Cartesian components of free-drifting buoys which are tracked by the ARGOS navigation system on NOAA satellites; and Cartesian components of the 10-m height wind vector computed by the European Center for Medium-Range Weather Forecasting (ECMWF). Charts of monthly mean value, sampling distribution, and standard deviation value are displayed. Annual mean distributions are displayed.

  9. KSC-04pd1508

    NASA Image and Video Library

    2004-07-11

    KENNEDY SPACE CENTER, FLA. - Onboard the dive boat at the Life Support Buoy offshore from Key Largo is Marc Reagan, mission lead for the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission. At right is Lt. Scott Sparks, a Navy medical officer. Reagan is also the underwater still photographer. The NEEMO-6 team comprises John Herrington, commander, Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  10. Visualization of drifting buoy deployments on upper Detroit River within the Great Lakes Waterway from August 28-30, 2001

    USGS Publications Warehouse

    Holtschlag, David J.; Aichele, Steve A.

    2002-01-01

    Detroit River is a connecting channel on the Great Lakes waterway that joins Lake St. Clair with Lake Erie. The river forms part of the international boundary between the United States and Canada in southeastern Michigan and southern Ontario. Drifting buoys were deployed on Detroit River to help investigate flow characteristics of four selected reaches as part of a source water assessment study of public water intakes. The drifting buoys contained global positioning system (GPS) receivers to help track their movements following their deployment. In some deployments, buoys were released across a transect at approximately uniform intervals to better understand flow patterns. In other deployments, buoys were released in clusters to investigate turbulent dispersion characteristics. Computer animations of buoy movements, which can be viewed through the Internet, are developed to help visualize the results of the buoy deployments.

  11. Forecast skill impact of drifting buoys in the Southern Hemisphere

    NASA Technical Reports Server (NTRS)

    Kalnay, E.; Atlas, R.; Baker, W.; Halem, M.

    1984-01-01

    Two analyses are performed to evaluate the effect of drift buoys and the FGGE's special observing system (SOS) on forecasting. The FGGE analysis utilizes all level II-b conventional and special data, and the Nosat analysis employs only surface and conventional upper air data. Twelve five-day forecasts are produced from these data. An additional experiment utilizing the FGGE data base minus buoys data, and the Nosat data base including buoys data is being conducted. The forecasts are compared and synoptic evaluation of the effect of buoys data is described. The results reveal that the FGGE data base with the SOS significantly improves forecasting in the Southern Hemisphere and the loss of buoys data does not have a great effect on forecasting. The Nosat data has less impact on forecasting; however, the addition of buoys data provides an improvement in forecast skills.

  12. 46 CFR 131.875 - Lifejackets, immersion suits, and ring buoys.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 46 Shipping 4 2012-10-01 2012-10-01 false Lifejackets, immersion suits, and ring buoys. 131.875... OPERATIONS Markings for Fire Equipment and Emergency Equipment § 131.875 Lifejackets, immersion suits, and ring buoys. (a) Each lifejacket, immersion suit, and ring life buoy must be marked in block capital...

  13. 46 CFR 131.875 - Lifejackets, immersion suits, and ring buoys.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 46 Shipping 4 2013-10-01 2013-10-01 false Lifejackets, immersion suits, and ring buoys. 131.875... OPERATIONS Markings for Fire Equipment and Emergency Equipment § 131.875 Lifejackets, immersion suits, and ring buoys. (a) Each lifejacket, immersion suit, and ring life buoy must be marked in block capital...

  14. 46 CFR 131.875 - Lifejackets, immersion suits, and ring buoys.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 46 Shipping 4 2011-10-01 2011-10-01 false Lifejackets, immersion suits, and ring buoys. 131.875... OPERATIONS Markings for Fire Equipment and Emergency Equipment § 131.875 Lifejackets, immersion suits, and ring buoys. (a) Each lifejacket, immersion suit, and ring life buoy must be marked in block capital...

  15. 46 CFR 131.875 - Lifejackets, immersion suits, and ring buoys.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 46 Shipping 4 2014-10-01 2014-10-01 false Lifejackets, immersion suits, and ring buoys. 131.875... OPERATIONS Markings for Fire Equipment and Emergency Equipment § 131.875 Lifejackets, immersion suits, and ring buoys. (a) Each lifejacket, immersion suit, and ring life buoy must be marked in block capital...

  16. 46 CFR 131.875 - Lifejackets, immersion suits, and ring buoys.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 46 Shipping 4 2010-10-01 2010-10-01 false Lifejackets, immersion suits, and ring buoys. 131.875... OPERATIONS Markings for Fire Equipment and Emergency Equipment § 131.875 Lifejackets, immersion suits, and ring buoys. (a) Each lifejacket, immersion suit, and ring life buoy must be marked in block capital...

  17. The New Positioning Technology for Sea Recovery Operations in Japan

    NASA Astrophysics Data System (ADS)

    Shoji, Yasuhiro; Yoshida, Tetsuya; Fuke, Hideyuki; Iijima, Issei; Izutsu, Naoki; Kato, Yoichi; Matsuzaka, Yukihiko; Namiki, Michiyoshi; Sato, Takatoshi; Tamura, Keisuke; Toriumi, Michihiko; Kakehashi, Yuya; Mizuta, Eiichi

    2012-07-01

    In Japan which has few flat plain and high population density, it is very difficult to drop a balloon safely on to the land. Hence balloons launched from Japan have always been dropped on the sea. In order to recover the balloons and the gondolas floating on the sea surely and rapidly, and to keep the gondolas and ships safe, much efforts and innovations have been made. Ones of the important innovations are positioning buoys. A buoy attached on a balloon gondola floats independently after the splash down, and informs its position to the recovery team. We had developed some types of such buoys; `radio beacon buoy' transmits a pattern of radio signal to navigate the recovery boats to the gondola. Another type of the buoys, `GPS ARGOS buoy,' finds its position with the GPS and sends the information to the balloon base via ARGOS satellite communication network. These technologies had contributed so much to the sea recovery operations however they also had some limitations. Recently, a new positioning buoy with better performance has developed; `Iridium buoy' detects the position with the GPS, and informs it to the balloon base via the Iridium satellite communication network and the internet. The Iridium buoy provides the accurate position surely and immediately with good time resolution. Furthermore the information can be received by very common devices which can receive e-mails. Thanks to the new buoy, the balloon operation team can always know where the gondola is on the sea more precisely, more simultaneously and more easily. That enables the operation team to inform the gondola's location to the authorities concerned as well as the recovery team, which contributes to the safety of both of the gondola and the sea traffics. In this presentation, the Iridium Buoy will be introduced mainly. Also the overview of the present sea recovery operation with the buoy and the past operations will be mentioned

  18. Spatial structure of directional wave spectra in hurricanes

    NASA Astrophysics Data System (ADS)

    Esquivel-Trava, Bernardo; Ocampo-Torres, Francisco J.; Osuna, Pedro

    2015-01-01

    The spatial structure of the wave field during hurricane conditions is studied using the National Data Buoy Center directional wave buoy data set from the Caribbean Sea and the Gulf of Mexico. The buoy information, comprising the directional wave spectra during the passage of several hurricanes, was referenced to the center of the hurricane using the path of the hurricane, the propagation velocity, and the radius of the maximum winds. The directional wave spectra were partitioned into their main components to quantify the energy corresponding to the observed wave systems and to distinguish between wind-sea and swell. The findings are consistent with those found using remote sensing data (e.g., Scanning Radar Altimeter data). Based on the previous work, the highest waves are found in the right forward quadrant of the hurricane, where the spectral shape tends to become uni-modal, in the vicinity of the region of maximum winds. More complex spectral shapes are observed in distant regions at the front of and in the rear quadrants of the hurricane, where there is a tendency of the spectra to become bi- and tri-modal. The dominant waves generally propagate at significant angles to the wind direction, except in the regions next to the maximum winds of the right quadrants. Evidence of waves generated by concentric eyewalls associated with secondary maximum winds was also found. The frequency spectra display some of the characteristics of the JONSWAP spectrum adjusted by Young (J Geophys Res 111:8020, 2006); however, at the spectral peak, the similarity with the Pierson-Moskowitz spectrum is clear. These results establish the basis for the use in assessing the ability of numerical models to simulate the wave field in hurricanes.

  19. Free Drifting Buoys

    NASA Technical Reports Server (NTRS)

    1974-01-01

    Information was exchanged between people directly involved with the development, use, and/or potential use of free drifting buoys. Tracking systems and techniques, where methods and accuracy of optical, radio, radar, satellite, and sonic tracking of free-drifting buoys were discussed. Deployment and retrieval covering methods currently used or planned in the deployment and retrieval of free-drifting buoys from boats, ships, helicopters, fixed platforms, and fixed-wing aircraft were reported. Simulation, sensors, and data emphasizing the status of water circulation modeling, and sensors useful on free-drifting buoys, and data display and analysis were described.

  20. Spatial and Temporal Variation of PATMOS-x AVHRR Lake Surface Temperatures in the Laurentian Great Lakes

    NASA Astrophysics Data System (ADS)

    White, C.; Heidinger, A. K.; Ackerman, S. A.; McIntyre, P. B.

    2017-12-01

    A thirty-four year lake surface water temperature (LSWT) time series over the North American Great Lakes was extracted from NOAA's Advanced Very High Resolution Radiometer (AVHRR) Global Area Coverage (GAC). The time series was cloud-cleared using the NOAA Pathfinder Atmospheres Extended (PATMOS-x) climate dataset and the Clouds from AVHRR Extended System (CLAVR-x) processing system, and was subsampled to a regular 0.05° grid. LSWT coefficients for each AVHRR platform were fit to NOAA National Data Buoy Center buoys with historical records spanning 1982 to 2016. Satellite to buoy matchups indicate an RMSE of 0.72 K for the entire time series across all five lakes. An empirically fit diurnal correction was applied to correct for orbital drift and varying observation times of NOAA-7,9,11,12,14-19, Metop-1 and Metop-2. Ordinary linear regression slopes on monthly mean LSWT show strong spatial heterogeneity in the long-term LSWT trends both within each lake and between lakes. Differences in long-term trends using nighttime only, daytime only, and both day and night are examined. Additionally, a coastal upwelling signal can be identified from the time series along with the indication of an earlier onset of spring stratification.

  1. Dynamics and causalities of atmospheric and oceanic data identified by complex networks and Granger causality analysis

    NASA Astrophysics Data System (ADS)

    Charakopoulos, A. K.; Katsouli, G. A.; Karakasidis, T. E.

    2018-04-01

    Understanding the underlying processes and extracting detailed characteristics of spatiotemporal dynamics of ocean and atmosphere as well as their interaction is of significant interest and has not been well thoroughly established. The purpose of this study was to examine the performance of two main additional methodologies for the identification of spatiotemporal underlying dynamic characteristics and patterns among atmospheric and oceanic variables from Seawatch buoys from Aegean and Ionian Sea, provided by the Hellenic Center for Marine Research (HCMR). The first approach involves the estimation of cross correlation analysis in an attempt to investigate time-lagged relationships, and further in order to identify the direction of interactions between the variables we performed the Granger causality method. According to the second approach the time series are converted into complex networks and then the main topological network properties such as degree distribution, average path length, diameter, modularity and clustering coefficient are evaluated. Our results show that the proposed analysis of complex network analysis of time series can lead to the extraction of hidden spatiotemporal characteristics. Also our findings indicate high level of positive and negative correlations and causalities among variables, both from the same buoy and also between buoys from different stations, which cannot be determined from the use of simple statistical measures.

  2. Open Source Initiative Powers Real-Time Data Streams

    NASA Technical Reports Server (NTRS)

    2014-01-01

    Under an SBIR contract with Dryden Flight Research Center, Creare Inc. developed a data collection tool called the Ring Buffered Network Bus. The technology has now been released under an open source license and is hosted by the Open Source DataTurbine Initiative. DataTurbine allows anyone to stream live data from sensors, labs, cameras, ocean buoys, cell phones, and more.

  3. Identifying individual sperm whales acoustically using self-organizing maps

    NASA Astrophysics Data System (ADS)

    Ioup, Juliette W.; Ioup, George E.

    2005-09-01

    The Littoral Acoustic Demonstration Center (LADC) is a consortium at Stennis Space Center comprising the University of New Orleans, the University of Southern Mississippi, the Naval Research Laboratory, and the University of Louisiana at Lafayette. LADC deployed three Environmental Acoustic Recording System (EARS) buoys in the northern Gulf of Mexico during the summer of 2001 to study ambient noise and marine mammals. Each LADC EARS was an autonomous, self-recording buoy capable of 36 days of continuous recording of a single channel at an 11.7-kHz sampling rate (bandwidth to 5859 Hz). The hydrophone selected for this analysis was approximately 50 m from the bottom in a water depth of 800 m on the continental slope off the Mississippi River delta. This paper contains recent analysis results for sperm whale codas recorded during a 3-min period. Results are presented for the identification of individual sperm whales from their codas, using the acoustic properties of the clicks within each coda. The recorded time series, the Fourier transform magnitude, and the wavelet transform coefficients are each used separately with a self-organizing map procedure for 43 codas. All show the codas as coming from four or five individual whales. [Research supported by ONR.

  4. Model Scaling of Hydrokinetic Ocean Renewable Energy Systems

    NASA Astrophysics Data System (ADS)

    von Ellenrieder, Karl; Valentine, William

    2013-11-01

    Numerical simulations are performed to validate a non-dimensional dynamic scaling procedure that can be applied to subsurface and deeply moored systems, such as hydrokinetic ocean renewable energy devices. The prototype systems are moored in water 400 m deep and include: subsurface spherical buoys moored in a shear current and excited by waves; an ocean current turbine excited by waves; and a deeply submerged spherical buoy in a shear current excited by strong current fluctuations. The corresponding model systems, which are scaled based on relative water depths of 10 m and 40 m, are also studied. For each case examined, the response of the model system closely matches the scaled response of the corresponding full-sized prototype system. The results suggest that laboratory-scale testing of complete ocean current renewable energy systems moored in a current is possible. This work was supported by the U.S. Southeast National Marine Renewable Energy Center (SNMREC).

  5. NDBC - National Weather Service Marine Forecast FZUS51 KGYX

    Science.gov Websites

    Coastal Waters Forecast National Weather Service Gray ME 1218 PM EDT Sun May 27 2018 COASTAL WATERS FROM STONINGTON ME TO MERRIMACK RIVER MA OUT TO 25 NM ANZ100-280630- 1218 PM EDT Sun May 27 2018 Synopsis for - 1218 PM EDT Sun May 27 2018 SMALL CRAFT ADVISORY IN EFFECT UNTIL 6 PM EDT THIS EVENING REST OF TODAY E

  6. Buoy monitors ocean acidification

    NASA Astrophysics Data System (ADS)

    Zielinski, Sarah

    2007-06-01

    A new Gulf of Alaska buoy installed on 7 June is the first to provide data that will help scientists study ocean acidification caused by the absorption of atmospheric carbon dioxide. Sensors attached to the buoy are measuring key climate indicators in the atmosphere and ocean, including surface acidity and the air-sea exchange of carbon dioxide. The buoy was installed in collaboration with the Line P program, which has provided decades of continuous measurements from a series of oceanographic stations along line P which extends from the mouth of the Juan de Fuca Strait south of Vancouver Island to Pacific Ocean Station Papa, where the new buoy was installed.The buoy is part of a project conducted by scientists from NOAAs Pacific Marine Environmental Laboratory; the University of Washington, Seattle; Fisheries and Oceans Canada; and the Institute of Ocean Sciences in Sydney, British Columbia.

  7. 33 CFR 162.117 - St. Marys River, Sault Ste. Marie, Michigan.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ...”—downbound traffic only; (ii) Pipe Island Course from Sweets Point to Watson Reefs Light-downbound traffic... Island Passage to the east of Pipe Island Shoal and north of Pipe Island Twins from Watson Reefs Light to...: (i) Johnson Point from Buoy “18” to Buoy “22”; (ii) Mirre Point from Buoy “26” to Buoy “28”; or (iii...

  8. 33 CFR 162.117 - St. Marys River, Sault Ste. Marie, Michigan.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ...”—downbound traffic only; (ii) Pipe Island Course from Sweets Point to Watson Reefs Light-downbound traffic... Island Passage to the east of Pipe Island Shoal and north of Pipe Island Twins from Watson Reefs Light to...: (i) Johnson Point from Buoy “18” to Buoy “22”; (ii) Mirre Point from Buoy “26” to Buoy “28”; or (iii...

  9. 33 CFR 162.117 - St. Marys River, Sault Ste. Marie, Michigan.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ...”—downbound traffic only; (ii) Pipe Island Course from Sweets Point to Watson Reefs Light-downbound traffic... Island Passage to the east of Pipe Island Shoal and north of Pipe Island Twins from Watson Reefs Light to...: (i) Johnson Point from Buoy “18” to Buoy “22”; (ii) Mirre Point from Buoy “26” to Buoy “28”; or (iii...

  10. 33 CFR 162.117 - St. Marys River, Sault Ste. Marie, Michigan.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ...”—downbound traffic only; (ii) Pipe Island Course from Sweets Point to Watson Reefs Light-downbound traffic... Island Passage to the east of Pipe Island Shoal and north of Pipe Island Twins from Watson Reefs Light to...: (i) Johnson Point from Buoy “18” to Buoy “22”; (ii) Mirre Point from Buoy “26” to Buoy “28”; or (iii...

  11. Department of Energy WindSentinel Loan Program Description

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Shaw, William J.; Sturges, Mark H.

    The U.S. Department of Energy (DOE) currently owns two AXYS WindSentinel buoys that collect a comprehensive set of meteorological and oceanographic data to support resource characterization for wind energy offshore. The two buoys were delivered to DOE’s Pacific Northwest National Laboratory (PNNL) in September, 2014. After acceptance testing and initial performance testing and evaluation at PNNL’s Marine Sciences Laboratory in Sequim, Washington, the buoys have been deployed off the U.S. East Coast. One buoy was deployed approximately 42 km east of Virginia Beach, Virginia from December, 2014 through June, 2016. The second buoy was deployed approximately 5 km off Atlanticmore » City, New Jersey in November, 2015. Data from the buoys are available to the public. Interested parties can create an account and log in to http://offshoreweb.pnnl.gov. In response to a number of inquiries and unsolicited proposals, DOE’s Wind Energy Technologies Office is implementing a program, to be managed by PNNL, to lend the buoys to qualified parties for the purpose of acquiring wind resource characterization data in areas of interest for offshore wind energy development. This document describes the buoys, the scope of the loans, the process of how borrowers will be selected, and the schedule for implementation of this program, including completing current deployments.« less

  12. Loran-Based Buoy Position Auditing Systems - Analytical Evaluation

    DOT National Transportation Integrated Search

    1980-02-01

    An analytic evaluation and comparison of the following candidate Buoy Position Auditing System (BPAS) configurations is presented in this report: transmission of digital Time Difference (TD) data from a Loran-C receiver on the buoy, retransmission of...

  13. An atlas of GEOS-3 radar altimeter data for data buoy comparison studies

    NASA Technical Reports Server (NTRS)

    Stanley, H. R.; Taylor, R. L.

    1978-01-01

    An atlas is compiled to identify times and dates when GEOS-3 altimeter data was taken in the vicinity of data buoys. The time period covered is from GEOS launch to April 9, 1978. Two buffer areas are considered for each of the various buoy locations to determine the simultaneity of GEOS and buoy data. The two buffer areas are ? or - 0.25 degrees and ? or - 1 degree.

  14. Data report of six free-drifting buoys tracked by the Eole satellite in the western North Atlantic Ocean in the autumn of 1972

    NASA Technical Reports Server (NTRS)

    Usry, J. W.; Wallace, J. W.

    1972-01-01

    The buoys were deployed on the Continental Shelf east of the Chesapeake Light and were tracked by the French EOLE satellite. Two buoys drifted for 11 days during the first mission and four buoys drifted for 14 days during the second mission. Trajectory and water temperature data are presented in tabular and graphical from with a discussion of the accuracy.

  15. Buoy Technology survey USCG Buoy Development Review

    DTIC Science & Technology

    1990-10-01

    by the United States Coadst Guard, IALA Conference, No. 3.1.5, Tokyo, 1980 . 3P.H. Glage, Design, Procurement and Testing of Plastic Fast Water Buoys on...may include published reports, unpublished reports, and USCG files. 23 PROJECT SUMMARY NO. 1 ARTICULATED BEACON DEVELOPMENT DATES: 1980 to Present...PROJECT DATE’%: 1980 to Present OBJECTIVE: The purpose of this project is to design a special buoy for use in exposed offshore locations where high

  16. A Wave Power Device with Pendulum Based on Ocean Monitoring Buoy

    NASA Astrophysics Data System (ADS)

    Chai, Hui; Guan, Wanchun; Wan, Xiaozheng; Li, Xuanqun; Zhao, Qiang; Liu, Shixuan

    2018-01-01

    The ocean monitoring buoy usually exploits solar energy for power supply. In order to improve power supply capacity, this paper proposes a wave power device according to the structure and moving character of buoy. The wave power device composes of pendulum mechanism that converts wave energy into mechanical energy and energy storage mechanism where the mechanical energy is transferred quantitatively to generator. The hydrodynamic equation for the motion of buoy system with generator devise is established based on the potential flow theory, and then the characteristics of pendulum motion and energy conversion properties are analysed. The results of this research show that the proposed wave power devise is able to efficiently and periodically convert wave energy into power, and increasing the stiffness of energy storage spring is benefit for enhancing the power supply capacity of the buoy. This study provides a theory reference for the development of technology on wave power generator for ocean monitoring buoy.

  17. Advanced Approach of Multiagent Based Buoy Communication

    PubMed Central

    Gricius, Gediminas; Drungilas, Darius; Dzemydiene, Dale

    2015-01-01

    Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information. PMID:26345197

  18. Accuracy in GPS/Acoustic positioning on a moored buoy moving around far from the optimal position

    NASA Astrophysics Data System (ADS)

    Imano, M.; Kido, M.; Ohta, Y.; Takahashi, N.; Fukuda, T.; Ochi, H.; Hino, R.

    2015-12-01

    For detecting the seafloor crustal deformation and Tsunami associated with large earthquakes in real-time, it is necessary to monitor them just above the possible source region. For this purpose, we have been dedicated in developing a real-time continuous observation system using a multi-purpose moored buoy. Sea-trials of the system have been carried out near the Nanakai trough in 2013 and 2014 (Takahashi et al., 2014). We especially focused on the GPS/Acoustic measurement (GPS/A) in the system for horizontal crustal movement. The GPS/A on a moored buoy has a critical drawback compared to the traditional ones, in which the data can be stacked over ranging points fixed at an optimal position. Accuracy in positioning with a single ranging from an arbitrary point is the subject to be improved in this study. Here, we report the positioning results in the buoy system using data in the 2014 sea-trial and demonstrate the improvement of the result. We also address the potential resolving power in the positioning using synthetic tests. The target GPS/A site consists of six seafloor transponders (PXPs) forming a small inner- and a large outer-triangles. The bottom of the moored cable is anchored nearly the center of the triangles. In the sea-trial, 11 times successive ranging was scheduled once a week, and we plotted positioning results from different buoy position. We confirmed that scatter in positioning using six PXPs simultaneously is ten times smaller than that using individual triangle separately. Next, we modified the definition of the PXP array geometry using data obtained in a campaign observation. Definition of an array geometry is insensitive as far as ranging is made in the same position, however, severely affects the positioning when ranging is made from various positions like the moored buoy. The modified PXP array is slightly smaller and 2m deeper than the original one. We found that the scatter of positioning results in the sea-trial is reduced from 4m to 1.7m with the modified geometry. Finally we produced a synthetic data with an artificial error in the array geometry and evaluated its effect on the positioning as a function of ranging point. This is interpreted with potential resolving power formulated in Kido (2007). In the presentation, we will show the results of synthetic test for systematic variation of the error condition.

  19. U.S. National / Naval Ice Center (NIC) Support to Naval and Maritime Operations

    DTIC Science & Technology

    2011-06-20

    States and Canadian governments. • International Arctic Buoy Programme ( IABP )  Global participants working together to maintain a network of... Modeling Surface Observations Satellite Air Recon Data Fusion Derived Data Automation Direct Data Dissemination TODAY’S CHALLENGES...and AUVs • Improve modeling and forecasting capabilities (OTSR/WEAX) • More trained ice analysts, ice pilots, and Arctic marine weather forecasters

  20. Southeast Oahu Coastal Hydrodynamic Modeling with ADCIRC and STWAVE

    DTIC Science & Technology

    2008-07-01

    19 Figure 16. CDIP buoy locations...20 Figure 17. Wave height versus wave direction percent occurrence rose for CDIP Buoy 098 – Mokapu Point, HI...wave height versus wave period for CDIP Buoy 098 – Mokapu Point, HI

  1. GNSS Buoy Array in the Ocean for Natural Hazard Mitigation

    NASA Astrophysics Data System (ADS)

    Kato, T.; Terada, Y.; Yamamoto, S. I.; Iwakiri, N.; Toyoshima, M.; Koshikawa, N.; Motohashi, O.; Hashimoto, G.; Wada, A.

    2015-12-01

    The GNSS buoy system for tsunami early warning has been developed in Japan. The system has been implemented as a national wave monitoring system and its record was used to update the tsunami warning at the 3.11 Tohoku-oki earthquake. The lessons learned in this experience was that the buoys are placed only less than 20km from the coast, which was not far enough for effective evacuation of people. We thus tried to improve the system for putting the buoy much farther from the coast. First, we tried to implement, different from current baseline mode RTK-GPS, a real-time PPP analysis strategy for positioning. In addition, we tried to use a two-way satellite data transmission in contrast with current surface radio system. We have made a series of experiments for this purpose in 2013 and 2014. A buoy of about 40km south of Shikoku, southwest Japan, was used for this purpose. GEONET data were used to obtain precise orbits and clocks of satellites. Then, the information was transferred to the GNSS buoy using LEX signal of QZSS satellite system. The received information on the buoy were used for real-time PPP analysis for every second. The obtained buoy position was then transmitted to the ground base, through an engineering test satellite, ETS-VIII. The received data was then disseminated to public through the internet. Both filtered short-term and long-term waves, were separately shown on the webpage. The success of these experiments indicates that the GNSS buoy can be placed at least more than 1,500 km from the ground based tracking network. Given this success, we would now be able to deploy a new GNSS buoy array system in the wide ocean. An array in the ocean can be used for ionospheric and atmospheric research in the same region as well as tsunami or ocean bottom crustal deformation monitoring through an application to the GNSS-acoustic system. We are now designing a regional GNSS buoy array in the western Pacific as a synthetic natural hazard mitigation system.

  2. Methods for LWIR Radiometric Calibration and Characterization

    NASA Technical Reports Server (NTRS)

    Ryan, Robert; Harrington, Gary; Howell, Dane; Pagnutti, Mary; Zanoni, Vicki

    2002-01-01

    The utility of a remote sensing system increases with its ability to retrieve surface temperature or radiance accurately. Research applications, such as sea temperature and power plant discharge, require a 0.2 C resolution or better for absolute temperature retrievals. Other applications, including agriculture water stress detection, require at least a 1 C resolution. To achieve these levels of accuracy routinely, scientists must perform laboratory and onboard calibration, as well as in-flight vicarious radiometric characterization. A common approach used for in-flight radiometric characterization incorporates a well-calibrated infrared radiometer that is mounted on a bouy and placed on a uniform water body. The radiometer monitors radiant temperature along with pressure, humidity, and temperature measurements of an associated column of atmosphere. On very still waters, however, a buoy can significantly distrub these measurements. Researchers at NASA's Stennis Space Center (SSC) have developed a novel approach of using an uncooled infrared camera mounted on a boom to quantify buoy effects. Another critical aspect of using buoy-mounted infrared radiometers is the need for extensive laboratory characterization of the instruments' radiometric sensitivity, field of view, and spectral response. Proper surface temperature retrieval also requires detailed knowledge of both the upward emission and the reflected sky emission. Recent work at SSC has demonstrated that the use of a polarization-based radiometer operating at the Brewster angle can greatly simplify temperature retrieval as well as improve overall accuracy.

  3. The O-Buoy Chemical Network

    NASA Astrophysics Data System (ADS)

    Matrai, P. A.; Williams, C. R.; Rauschenberg, C. D.

    2012-12-01

    Autonomous, sea ice-tethered buoys ("O-Buoys") are being deployed across the Arctic sea ice for long-term atmospheric measurements, with several O-Buoys having been deployed within the Hudson Bay, Beaufort Sea, and the North Pole. These buoys provide in-situ measurements of ozone, CO_{2} and BrO, as well as meteorological parameters, over the frozen ocean. O-Buoys were designed to transmit daily data over a period of 2 years while deployed in sea ice, as part of automated ice-drifting stations. Due to the logistical challenges of measurements over the Arctic Ocean region, most long term,in-situ observations of atmospheric chemistry have been made at coastal sites or islands near the coast, leaving large spatial and temporal gaps that O-Buoys can overcome. The significant uncertainty that remains in our understanding of the temporal and spatial variability in these parameters as well as the magnitude and/or frequency of long (CO_{2}) and short (ozone depletion) patterns can be overcome. Advances in floatation, communications, power management, and sensor hardware have been made to the original design to overcome the challenges of diminished Arctic sea ice which have resulted in our longest deployments into the summer so far.

  4. Linking the watershed to the schoolshed: teaching sustainable development in K-12 with the Chester RIver Watershed Observatory

    NASA Astrophysics Data System (ADS)

    Trembanis, A. C.; Levin, D.; Seidel, J.

    2012-12-01

    The Chester River has been the subject of ongoing scientific studies in response to both the Clean Water Act and the EPA's Chesapeake Bay Program initiatives. The Upper, Middle, and Lower Chester are on the Maryland Department of Environment's list of "impaired waters". The Chester River Watershed (CRW) Observatory is lead by the Center for Environment & Society at Washington College. Eight clusters representing 22 public and private K-12 schools in the CRW provide the sampling sites distributed throughout the watershed. Weather stations will be installed at these sites allowing monitoring of the watershed's microclimate. Each cluster will be assigned a Basic Observation Buoy (BOB), an easy to assemble inexpensive buoy platform for real-time water column and atmospheric condition measurements. The BOBs are fitted with a data sonde to collect similar data parameters (e.g. salinity, temperature) as the main stem Chesapeake Bay buoys do. These assets will be deployed and the data transmitted to the Chester River Geographic Information System site for archival and visual display. Curriculum already developed for the Chesapeake Bay Interpretive Buoy System by the NOAA Chesapeake Bay Office will be adapted to the Chester River Watershed. Social issues of water sustainability will be introduced using the Watershed Game (Northland NEMO ®). During 2011 NOAA's Chesapeake Bay Office completed curriculum projects including Chesapeake Exploration, Build-a-Buoy (BaBs) and Basic Observation Buoys (BOBs). These engaging projects utilize authentic data and hands-on activities to demonstrate the tools scientists use to understand system interactions in the Bay. Chesapeake Exploration is a collection of online activities that provides teachers and students with unprecedented access to Bay data. Students are guided through a series of tasks that explore topics related to the interrelation between watersheds, land-use, weather, water quality, and living resources. The BaBs and BOBs (developed by Levin) engage students in the building and testing of buoys to monitor the environment. Additional hands on science activities include the Levin developed ROVs-in-a-bucket project that Trembanis has incorporated into the University of Delaware high school summer science camp TIDE (Teaching an Interest in Delaware's Estuary) http://www.ceoe.udel.edu/tide/ in which 12-15 high school students annually participate in groups working to design, build, and operate a simple remotely operated vehicle in a series of real work simulation activities such as responding to an oil spill. The new CRW network will be the focus for formal and informal learning partnerships between schools in the watershed. Professional development opportunities for Chester River watershed teachers focus on the use of sensors, utilization of GIS in the classroom, and other resources that become available as shared teaching resources. Federal, state, regional, and local users in government, private industry, and educational venues from grades k-16 will be able to observe the trends and learn together the most prudent ways to sustain and conserve natural resources.

  5. United States Naval Academy Polar Science Program's Visual Arctic Observing Buoys; The IceGoat

    NASA Astrophysics Data System (ADS)

    Woods, J. E.; Clemente-Colon, P.; Nghiem, S. V.; Rigor, I.; Valentic, T. A.

    2012-12-01

    The U.S. Naval Academy Oceanography Department currently has a curriculum based Polar Science Program (USNA PSP). Within the PSP there is an Arctic Buoy Program (ABP) student research component that will include the design, build, testing and deployment of Arctic Buoys. Establishing an active, field-research program in Polar Science will greatly enhance Midshipman education and research, as well as introduce future Naval Officers to the Arctic environment. The Oceanography Department has engaged the USNA Ocean Engineering, Systems Engineering, Aerospace Engineering, and Computer Science Departments and developed a USNA Visual Arctic Observing Buoy, IceGoat1, which was designed, built, and deployed by midshipmen. The experience gained through Polar field studies and data derived from these buoys will be used to enhance course materials and laboratories and will also be used directly in Midshipman independent research projects. The USNA PSP successfully deployed IceGoat1 during the BROMEX 2012 field campaign out of Barrow, AK in March 2012. This buoy reports near real-time observation of Air Temperature, Sea Temperature, Atmospheric Pressure, Position and Images from 2 mounted webcams. The importance of this unique type of buoy being inserted into the U.S. Interagency Arctic Buoy Program and the International Arctic Buoy Programme (USIABP/IABP) array is cross validating satellite observations of sea ice cover in the Arctic with the buoys webcams. We also propose to develop multiple sensor packages for the IceGoat to include a more robust weather suite, and a passive acoustic hydrophone. Remote cameras on buoys have provided crucial qualitative information that complements the quantitative measurements of geophysical parameters. For example, the mechanical anemometers on the IABP Polar Arctic Weather Station at the North Pole Environmental Observatory (NPEO) have at times reported zero winds speeds, and inspection of the images from the NPEO cameras have showed frosting on the camera during these same periods indicating that the anemometer has temporarily frozen up. Later when the camera lens clears, the anemometers resume providing reasonable wind speeds. The cameras have also provided confirmation of the onset of melt and freeze, and indications of cloudy and clear skies. USNA PSP will monitor meteorological and oceanographic parameters of the Arctic environment remotely via its own buoys. Web cameras will provide near real time visual observations of the buoys current positions, allowing for instant validation of other remotes sensors and modeled data. Each buoy will be developed with at a minimum a meteorological sensor package in accordance with IABP protocol (2m Air Temp, SLP). Platforms will also be developed with new sensor packages to possibly include, wind speed, ice temperature, sea ice thickness, underwater acoustics, and new communications suites (Iridium, Radio). The uniqueness of the IceGoat is that it is based on the new AXIB buoy designed by LBI, Inc. that has a proven record of being able to survive in the harsh marginal ice zone environment. IceGoat1 will be deployed in the High Arctic during the USCGC HEALY cruise in late August 2012.

  6. Wave-Current Interaction in Coastal Inlets and River Mouths

    DTIC Science & Technology

    2014-09-30

    the Astoria Canyon buoy operated by the Coastal Data Information Program ( CDIP , buoy # 46248). Three-dimensional current fields and bathymetry were...bar show considerable differences. The SWAN model uses observations from CDIP buoy # 46248 as boundary condition; three- dimensional current data and

  7. Coordination, Data Management and Enhancement of the International Arctic Buoy Programme (IABP) a US Interagency Arctic Buoy Programme \\201USIABP\\202 contribution to the IABP

    DTIC Science & Technology

    2013-09-30

    data from the IABP ); 2.) Forecasting weather and sea ice conditions; 3.) Forcing, assimilation and validation of global weather and climate models ...International Arctic Buoy Programme ( IABP ) A US Interagency Arctic Buoy Programme (USIABP) contribution to the IABP Dr. Ignatius G. Rigor Polar...ice motion. These observations are assimilated into Numerical Weather Prediction (NWP) models that are used to forecast weather on synoptic time

  8. Coordination, Data Management and Enhancement of the International Arctic Buoy Programme (IABP), A US Interagency Arctic Buoy Programme (USIABP) Contribution to the IABP

    DTIC Science & Technology

    2012-09-30

    International Arctic Buoy Programme ( IABP ) A US Interagency Arctic Buoy Programme (USIABP) contribution to the IABP Dr. Ignatius G. Rigor Polar...observations of surface meteorology and ice motion. These observations are assimilated into Numerical Weather Prediction (NWP) models that are used to...distribution of sea ice. Over the Arctic Ocean, this fundamental observing network is maintained by the IABP , and is a critical component of the

  9. LCOE Baseline for OE Buoy

    DOE Data Explorer

    Previsic, Mirko; Karthikeyan, Anantha; Lewis, Tony; McCarthy, John

    2017-07-26

    Capex numbers are in $/kW, Opex numbers in $/kW-yr. Cost Estimates provided herein are based on concept design and basic engineering data and have high levels of uncertainties embedded. This reference economic scenario was done for a very large device version of the OE Buoy technology, which is not presently on Ocean Energy's technology development pathway but will be considered in future business plan development. The DOE reference site condition is considered a low power-density site, compared with many of the planned initial deployment locations for the OE Buoy. Many of the sites considered for the initial commercial deployment of the OE buoy feature much higher wave power densities and shorter period waves. Both of these characteristics will improve the OE buoy's commercial viability.

  10. Wave-Current Interaction in Coastal Inlets and River Mouths

    DTIC Science & Technology

    2013-09-30

    Astoria Canyon buoy operated by the Coastal Data Information Program ( CDIP , buoy # 46248). Three-dimensional current fields and bathymetry were...The model was initialized with wave measurements from CDIP buoy 46248 located at the tip of the Astoria Canyon, and uses modeled current fields

  11. A Wireless Internet-Based Observatory: The Real-time Coastal Observation Network (ReCON)

    DTIC Science & Technology

    2007-09-01

    48105 J. J. Gray National Oceanic and Atmospheric Administration Thunder Bay National Marine Sanctuary 500 W. Fletcher St. Alpena , MI 49707 S...underwater hubs with sensors. Shore Station Buoy or Permanent Station Alpena Muskegon Milwaukee Ann Arbor Chicago Cleveland Toledo...meteorological station located on TBI, and a shore station located at the Maritime Heritage Center in Alpena , MI. A digital video camera will be connected to

  12. 46 CFR 160.050-7 - Procedure for approval.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160.050-7 Procedure for approval. (a) General. Designs of ring life buoys are approved only by the Commandant, U.S. Coast Guard. Manufacturers seeking approval of a ring life buoy design shall follow the...

  13. 46 CFR 160.050-7 - Procedure for approval.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160.050-7 Procedure for approval. (a) General. Designs of ring life buoys are approved only by the Commandant, U.S. Coast Guard. Manufacturers seeking approval of a ring life buoy design shall follow the...

  14. 46 CFR 160.050-7 - Procedure for approval.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160.050-7 Procedure for approval. (a) General. Designs of ring life buoys are approved only by the Commandant, U.S. Coast Guard. Manufacturers seeking approval of a ring life buoy design shall follow the...

  15. 46 CFR 160.050-7 - Procedure for approval.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160.050-7 Procedure for approval. (a) General. Designs of ring life buoys are approved only by the Commandant, U.S. Coast Guard. Manufacturers seeking approval of a ring life buoy design shall follow the...

  16. 46 CFR 160.050-7 - Procedure for approval.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160.050-7 Procedure for approval. (a) General. Designs of ring life buoys are approved only by the Commandant, U.S. Coast Guard. Manufacturers seeking approval of a ring life buoy design shall follow the...

  17. UpTempO Buoys for Understanding and Prediction

    DTIC Science & Technology

    2014-09-30

    between the Delrin plastic pod housing and the thermistor epoxy potting. (b) Buoy ship deployment. Three Metocean-manufactured UpTempO buoys were ship...2 and 3). The box is held together with only glue and paper tape. The sensor cable is housed in an inner cardboard box that eventually separates

  18. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... 47 Telecommunication 5 2014-10-01 2014-10-01 false Wildlife and ocean buoy tracking. 90.248... SERVICES PRIVATE LAND MOBILE RADIO SERVICES Non-Voice and Other Specialized Operations § 90.248 Wildlife... tracking of, and the telemetry of scientific data from, ocean buoys and animal wildlife. (b) Transmitters...

  19. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... 47 Telecommunication 5 2011-10-01 2011-10-01 false Wildlife and ocean buoy tracking. 90.248... SERVICES PRIVATE LAND MOBILE RADIO SERVICES Non-Voice and Other Specialized Operations § 90.248 Wildlife... tracking of, and the telemetry of scientific data from, ocean buoys and animal wildlife. (b) Transmitters...

  20. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... 47 Telecommunication 5 2010-10-01 2010-10-01 false Wildlife and ocean buoy tracking. 90.248... SERVICES PRIVATE LAND MOBILE RADIO SERVICES Non-Voice and Other Specialized Operations § 90.248 Wildlife... tracking of, and the telemetry of scientific data from, ocean buoys and animal wildlife. (b) Transmitters...

  1. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... 47 Telecommunication 5 2012-10-01 2012-10-01 false Wildlife and ocean buoy tracking. 90.248... SERVICES PRIVATE LAND MOBILE RADIO SERVICES Non-Voice and Other Specialized Operations § 90.248 Wildlife... tracking of, and the telemetry of scientific data from, ocean buoys and animal wildlife. (b) Transmitters...

  2. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... 47 Telecommunication 5 2013-10-01 2013-10-01 false Wildlife and ocean buoy tracking. 90.248... SERVICES PRIVATE LAND MOBILE RADIO SERVICES Non-Voice and Other Specialized Operations § 90.248 Wildlife... tracking of, and the telemetry of scientific data from, ocean buoys and animal wildlife. (b) Transmitters...

  3. NOAA TELEPHONE RECORDINGS

    Science.gov Websites

    ! Boating Safety Beach Hazards Rip Currents Hypothermia Hurricanes Thunderstorms Lightning Coastal Flooding . Mariners can now hear the latest coastal and offshore weather observations using Dial-A-Buoy. Dial-A-Buoy wind and wave measurements taken within the last hour at 65 buoy and 54 Coastal-Marine Automated

  4. 33 CFR 149.322 - Where must ring life buoys be located and how must they be stowed?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... both these requirements. (b) Each ring life buoy must be stowed on or in a rack that is readily accessible in an emergency. The ring life buoy must not be permanently secured in any way to the rack or the...

  5. The Application of a Technique for Vector Correlation to Problems in Meteorology and Oceanography.

    NASA Astrophysics Data System (ADS)

    Breaker, L. C.; Gemmill, W. H.; Crosby, D. S.

    1994-11-01

    In a recent study, Crosby et al. proposed a definition for vector correlation that has not been commonly used in meteorology or oceanography. This definition has both a firm theoretical basis and a rather complete set of desirable statistical properties. In this study, the authors apply the definition to practical problems arising in meteorology and oceanography. In the first of two case studies, vector correlations were calculated between subsurface currents for five locations along the southeastern shore of Lake Erie. Vector correlations for one sample size were calculated for all current meter combinations, first including the seiche frequency and then with the seiche frequency removed. Removal of the seiche frequency, which was easily detected in the current spectra, had only a small effect on the vector correlations. Under reasonable assumptions, the vector correlations were in most cases statistically significant and revealed considerable fine structure in the vector correlation sequences. In some cases, major variations in vector correlation coincided with changes in surface wind. The vector correlations for the various current meter combinations decreased rapidly with increasing spatial separation. For one current meter combination, canonical correlations were also calculated; the first canonical correlation tended to retain the underlying trend, whereas the second canonical correlation retained the peaks in the vector correlations.In the second case study, vector correlations were calculated between marine surface winds derived from the National Meteorological Center's Global Data Assimilation System and observed winds acquired from the network of National Data Buoy Center buoys that are located off the continental United States and in the Gulf of Alaska. Results of this comparison indicated that 1) there was a significant decrease in correlation between the predicted and observed winds with increasing forecast interval out to 72 h, 2) the technique provides a sensitive indicator for detecting bad buoy reports, and 3) there was no obvious seasonal cycle in the monthly vector correlations for the period of observation.

  6. Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-;atmosphere–wave–sediment transport (COAWST) modeling system

    USGS Publications Warehouse

    Olabarrieta, Maitane; Warner, John C.; Armstrong, Brandy N.; Zambon, Joseph B.; He, Ruoying

    2012-01-01

    The coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system was used to investigate atmosphere–ocean–wave interactions in November 2009 during Hurricane Ida and its subsequent evolution to Nor'Ida, which was one of the most costly storm systems of the past two decades. One interesting aspect of this event is that it included two unique atmospheric extreme conditions, a hurricane and a nor'easter storm, which developed in regions with different oceanographic characteristics. Our modeled results were compared with several data sources, including GOES satellite infrared data, JASON-1 and JASON-2 altimeter data, CODAR measurements, and wave and tidal information from the National Data Buoy Center (NDBC) and the National Tidal Database. By performing a series of numerical runs, we were able to isolate the effect of the interaction terms between the atmosphere (modeled with Weather Research and Forecasting, the WRF model), the ocean (modeled with Regional Ocean Modeling System (ROMS)), and the wave propagation and generation model (modeled with Simulating Waves Nearshore (SWAN)). Special attention was given to the role of the ocean surface roughness. Three different ocean roughness closure models were analyzed: DGHQ (which is based on wave age), TY2001 (which is based on wave steepness), and OOST (which considers both the effects of wave age and steepness). Including the ocean roughness in the atmospheric module improved the wind intensity estimation and therefore also the wind waves, surface currents, and storm surge amplitude. For example, during the passage of Hurricane Ida through the Gulf of Mexico, the wind speeds were reduced due to wave-induced ocean roughness, resulting in better agreement with the measured winds. During Nor'Ida, including the wave-induced surface roughness changed the form and dimension of the main low pressure cell, affecting the intensity and direction of the winds. The combined wave age- and wave steepness-based parameterization (OOST) provided the best results for wind and wave growth prediction. However, the best agreement between the measured (CODAR) and computed surface currents and storm surge values was obtained with the wave steepness-based roughness parameterization (TY2001), although the differences obtained with respect to DGHQ were not significant. The influence of sea surface temperature (SST) fields on the atmospheric boundary layer dynamics was examined; in particular, we evaluated how the SST affects wind wave generation, surface currents and storm surges. The integrated hydrograph and integrated wave height, parameters that are highly correlated with the storm damage potential, were found to be highly sensitive to the ocean surface roughness parameterization.

  7. Ocean-atmosphere dynamics during Hurricane Ida and Nor'Ida: An application of the coupled ocean-atmosphere-wave-sediment transport (COAWST) modeling system

    USGS Publications Warehouse

    Olabarrieta, Maitane; Warner, John C.; Armstrong, Brandy N.; Zambon, Joseph B.; He, Ruoying

    2012-01-01

    The coupled ocean–atmosphere–wave–sediment transport (COAWST) modeling system was used to investigate atmosphere–ocean–wave interactions in November 2009 during Hurricane Ida and its subsequent evolution to Nor’Ida, which was one of the most costly storm systems of the past two decades. One interesting aspect of this event is that it included two unique atmospheric extreme conditions, a hurricane and a nor’easter storm, which developed in regions with different oceanographic characteristics. Our modeled results were compared with several data sources, including GOES satellite infrared data, JASON-1 and JASON-2 altimeter data, CODAR measurements, and wave and tidal information from the National Data Buoy Center (NDBC) and the National Tidal Database. By performing a series of numerical runs, we were able to isolate the effect of the interaction terms between the atmosphere (modeled with Weather Research and Forecasting, the WRF model), the ocean (modeled with Regional Ocean Modeling System (ROMS)), and the wave propagation and generation model (modeled with Simulating Waves Nearshore (SWAN)). Special attention was given to the role of the ocean surface roughness. Three different ocean roughness closure models were analyzed: DGHQ (which is based on wave age), TY2001 (which is based on wave steepness), and OOST (which considers both the effects of wave age and steepness). Including the ocean roughness in the atmospheric module improved the wind intensity estimation and therefore also the wind waves, surface currents, and storm surge amplitude. For example, during the passage of Hurricane Ida through the Gulf of Mexico, the wind speeds were reduced due to wave-induced ocean roughness, resulting in better agreement with the measured winds. During Nor’Ida, including the wave-induced surface roughness changed the form and dimension of the main low pressure cell, affecting the intensity and direction of the winds. The combined wave age- and wave steepness-based parameterization (OOST) provided the best results for wind and wave growth prediction. However, the best agreement between the measured (CODAR) and computed surface currents and storm surge values was obtained with the wave steepness-based roughness parameterization (TY2001), although the differences obtained with respect to DGHQ were not significant. The influence of sea surface temperature (SST) fields on the atmospheric boundary layer dynamics was examined; in particular, we evaluated how the SST affects wind wave generation, surface currents and storm surges. The integrated hydrograph and integrated wave height, parameters that are highly correlated with the storm damage potential, were found to be highly sensitive to the ocean surface roughness parameterization.

  8. Development of a new tubular buoy for seafloor geodetic observation with cabled system

    NASA Astrophysics Data System (ADS)

    Kido, M.; Osada, Y.; Fujimoto, H.; Kaneda, Y.

    2008-12-01

    Seafloor geodetic observation using the GPS/acoustic technique is now a practical tool to monitor crustal movement beneath the ocean. The DONET project, which plans to install a seafloor cable system and is promoted by MEXT, Japan is a promising candidate to achieve semi-realtime and long-term seafloor observation. However there still remain some technical problem for the system. One of the largest problem is the stability and safety of a mooring buoy for long-term. A box-type small buoy as a surface platform, which is out present system, heavily oscillates with ocean swells especially for short waves and has large friction against ocean current within water. To overcome this problem, we have developed a new buoy as a prototype of long-term mooring system. Since the new buoy is tubular in shape and more than 4 m height, its attitude at the sea surface is quite stable. A typical oscillating period is improved from 2 sec for the box-type buoy into more than 6 sec for the new tubular buoy. Further more, effect of multiple reflection against sea surface or bottom of the buoy is almost disappear due to its acoustic transducer locates at greater depth (around 3 m). We have confirmed that observed acoustic signals of the reply from seafloor transponders are quite clear and has small and symmetric siderobes in the correlogram, which is important for proper traveltime detection. The new buoy is designed as low power and remote controlled system, which is also suitable for future cable connection. Using this new system, we have conducted a test survey for several hours in Kumano-nada, along Nankai trough, where the seafloor cable is planed to be laid. At this site we have placed a seafloor transponders' array with five instruments rather than usual three transponders. This will help to estimate lateral gradient of sound speed structure in the ocean, which degrade positioning accuracy in the past survey and analytic styles. In this talk, we present the initial result of the survey using the new buoy.

  9. Experimental design for drifting buoy Lagrangian test

    NASA Technical Reports Server (NTRS)

    Saunders, P. M.

    1975-01-01

    A test of instrumentation fabricated to measure the performance of a free drifting buoy as a (Lagrangian) current meter is described. Specifically it is proposed to distinguish between the trajectory of a drogued buoy and the trajectory of the water at the level of the drogue by measuring the flow relative to the drogue.

  10. 33 CFR 62.23 - Beacons and buoys.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... navigation. The primary components of the U.S. Aids to Navigation System are beacons and buoys. (b) Beacons are aids to navigation structures which are permanently fixed to the earth's surface. They range from... UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.23 Beacons and buoys. (a...

  11. 33 CFR 62.23 - Beacons and buoys.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... navigation. The primary components of the U.S. Aids to Navigation System are beacons and buoys. (b) Beacons are aids to navigation structures which are permanently fixed to the earth's surface. They range from... UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.23 Beacons and buoys. (a...

  12. 33 CFR 62.23 - Beacons and buoys.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... navigation. The primary components of the U.S. Aids to Navigation System are beacons and buoys. (b) Beacons are aids to navigation structures which are permanently fixed to the earth's surface. They range from... UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.23 Beacons and buoys. (a...

  13. 33 CFR 62.23 - Beacons and buoys.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... navigation. The primary components of the U.S. Aids to Navigation System are beacons and buoys. (b) Beacons are aids to navigation structures which are permanently fixed to the earth's surface. They range from... UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.23 Beacons and buoys. (a...

  14. 33 CFR 62.23 - Beacons and buoys.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... navigation. The primary components of the U.S. Aids to Navigation System are beacons and buoys. (b) Beacons are aids to navigation structures which are permanently fixed to the earth's surface. They range from... UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.23 Beacons and buoys. (a...

  15. Seafloor horizontal positioning from a continuously operating buoy-based GPS-acoustic array

    NASA Astrophysics Data System (ADS)

    Chadwell, C. D.; Brown, K. M.; Tryon, M. D.; Send, U.

    2009-12-01

    Seafloor horizontal positions in a global frame were estimated daily from an autonomous buoy operating continuously over several months. The buoy (GEOCE) was moored offshore San Diego in 100-m-deep waters above an array of 4 seafloor transponders. Dual-frequency GPS data were collected at 1-Hz at a main antenna on the buoy and at 3 shore stations to provide continuous 2-3 cm positions of the buoy main antenna. Two single-frequency antennas on the buoy along with the main antenna were used to estimate the buoy attitude and short-term velocity. At one minute intervals the two-way acoustic travel time was measured between the buoy and transponders. During this few second span when transmitting and receiving acoustic signals, 10-Hz attitude and velocity were collected to locate the position of the transducer mounted approximately 2 m below the water line. The GPS and acoustic data were recorded internally and transmitted to shore over a cell-phone link and/or a wireless Ethernet. GPS data were combined with the acoustic data to estimate the array location at 1 minute intervals. The 1-minute positions are combined to provide a daily estimate of the array position. The buoy is autonomous, solar-powered and in addition to the GPS and acoustic data collects air pressure, temperature, wind speed/direction as well as water level at the surface and conductivity and temperature along the mooring line from near the sea surface to just above the sea floor. Here we report results from the horizontal positioning effort from Phase I of the project in shallow waters. The project also includes a vertical deformation sensor and physical oceanographic monitoring. A deep water (nominally 1000 m) test is planned for 2010. This work is supported by NSF-OCE-0551363 of the Ocean Technology and Interdisciplinary Coordination Program.

  16. Long-Term Observations of Atmospheric CO2, O3 and BrO over the Transitioning Arctic Ocean Pack-ice: The O-Buoy Chemical Network

    NASA Astrophysics Data System (ADS)

    Matrai, P.

    2016-02-01

    Autonomous, sea ice-tethered O-Buoys have been deployed (2009-2016) across the Arctic sea ice for long-term atmospheric measurements (http://www.o-buoy.org). O-Buoys (15) provide in-situ concentrations of three sentinel atmospheric chemicals, ozone, CO2 and BrO, as well as meteorological parameters and imagery, over the frozen ocean. O-Buoys were designed to transmit daily data over a period of 2 years while deployed in sea ice, as part of automated ice-drifting stations that include snow/ice measurement systems (e.g. Ice Mass Balance buoys) and oceanographic measurements (e.g. Ice Tethered Profilers). Seasonal changes in Arctic atmospheric chemistry are influenced by changes in the characteristics and presence of the sea ice vs. open water as well as air mass trajectories, especially during the winter-spring and summer-fall transitions when sea ice is melting and freezing, respectively. The O-Buoy Chemical Network provides the unique opportunity to observe these transition periods in real-time with high temporal resolution, and to compare them with those collected on land-based monitoring stations located. Due to the logistical challenges of measurements over the Arctic Ocean region, most long term, in-situ observations of atmospheric chemistry have been made at coastal or island sites around the periphery of the Arctic Ocean, leaving large spatial and temporal gaps that O-Buoys overcome. Advances in floatation, communications, power management, and sensor hardware have been made to overcome the challenges of diminished Arctic sea ice. O-Buoy data provide insights into enhanced seasonal, interannual and spatial variability in atmospheric composition, atmospheric boundary layer control on the amount of halogen activation, enhancement of the atmospheric CO2 signal over the more variable and porous pack ice, and to develop an integrated picture of the coupled ocean/ice/atmosphere system. As part of the Arctic Observing Network, we provide data to the community (www.aoncadis.org).

  17. Design, fabrication and systems integration of a satellite tracked, free-drifting ocean data buoy

    NASA Technical Reports Server (NTRS)

    Wallace, J. W.; Cox, J. W.

    1976-01-01

    Engineering details are presented of a small free-drifting buoy configuration designed for use in the study of continental shelf water circulation patterns in the Chesapeake Bight of the Western North Atlantic Ocean. The buoy incoporated French instrumentation and was interrogated by the French EOLE satellite to provide position and four channels of temperature data. The buoy design included a variable depth drogue and a power supply sufficient for six weeks of continuous operations. Proof tests of the configuration indicated an adequate design and subsequent field experiments verified the proper functioning of the system.

  18. Visualization of a drifting buoy deployment on Lake St. Clair within the Great Lakes Waterway from August 12-15, 2002

    USGS Publications Warehouse

    Holtschlag, David J.; Syed, Atiq U.; Kennedy, Gregory W.

    2002-01-01

    Lake St. Clair is a 430 square mile lake between the state of Michigan and the province of Ontario, which forms part of the international boundary between the United States and Canada in the Great Lakes Basin. Lake St. Clair receives most of its inflow from Lake Huron through St. Clair River, which has an average flow of 182,000 cubic feet per second. The lake discharges to Detroit River, where it flows 32 miles to Lake Erie. Twelve drifting buoys were deployed on Lake St. Clair for 74 hours between August 12-15, 2002 to help investigate flow circulation patterns as part of a source water assessment study of the susceptibility of public water intakes. The buoys contained global positioning system (GPS) receivers to track their movements. Buoys were released in a transect between tethered buoys marking an 800-foot wide navigational channel in the north-central part of the lake just downstream of St. Clair River, and about 15.5 miles northeast of Detroit River. In addition, an acoustic Doppler current profiler (ADCP) was used to measure velocity profiles in a grid of 41 points that spanned the area through which the buoys drifted. Computer animations, which can be viewed through the Internet, were developed to help visualize the results of the buoy deployments and ADCP measurements.

  19. 33 CFR 149.321 - How many ring life buoys must be on each deepwater port?

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false How many ring life buoys must be on each deepwater port? 149.321 Section 149.321 Navigation and Navigable Waters COAST GUARD... EQUIPMENT Lifesaving Equipment Manned Deepwater Port Requirements § 149.321 How many ring life buoys must be...

  20. 33 CFR 74.20-1 - Buoy and vessel use costs.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 1 2013-07-01 2013-07-01 false Buoy and vessel use costs. 74.20-1 Section 74.20-1 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION CHARGES FOR COAST GUARD AIDS TO NAVIGATION WORK Aids to Navigation Costs § 74.20-1 Buoy...

  1. 33 CFR 74.20-1 - Buoy and vessel use costs.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 1 2014-07-01 2014-07-01 false Buoy and vessel use costs. 74.20-1 Section 74.20-1 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION CHARGES FOR COAST GUARD AIDS TO NAVIGATION WORK Aids to Navigation Costs § 74.20-1 Buoy...

  2. 33 CFR 74.20-1 - Buoy and vessel use costs.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... 33 Navigation and Navigable Waters 1 2011-07-01 2011-07-01 false Buoy and vessel use costs. 74.20-1 Section 74.20-1 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION CHARGES FOR COAST GUARD AIDS TO NAVIGATION WORK Aids to Navigation Costs § 74.20-1 Buoy...

  3. Importance of air-sea interaction on wind waves, storm surge and hurricane simulations

    NASA Astrophysics Data System (ADS)

    Chen, Yingjian; Yu, Xiping

    2017-04-01

    It was reported from field observations that wind stress coefficient levels off and even decreases when the wind speed exceeds 30-40 m/s. We propose a wave boundary layer model (WBLM) based on the momentum and energy conservation equations. Taking into account the physical details of the air-sea interaction process as well as the energy dissipation due to the presence of sea spray, this model successfully predicts the decreasing tendency of wind stress coefficient. Then WBLM is embedded in the current-wave coupled model FVCOM-SWAVE to simulate surface waves and storm surge under the forcing of hurricane Katrina. Numerical results based on WBLM agree well with the observed data of NDBC buoys and tide gauges. Sensitivity analysis of different wind stress evaluation methods also shows that large anomalies of significant wave height and surge elevation are captured along the passage of hurricane core. The differences of the local wave height are up to 13 m, which is in accordance with the general knowledge that the ocean dynamic processes under storm conditions are very sensitive to the amount of momentum exchange at the air-sea interface. In the final part of the research, the reduced wind stress coefficient is tested in the numerical forecast of hurricane Katrina. A parabolic formula fitted to WBLM is employed in the atmosphere-ocean coupled model COAWST. Considering the joint effects of ocean cooling and reduced wind drag, the intensity metrics - the minimum sea level pressure and the maximum 10 m wind speed - are in good inconsistency with the best track result. Those methods, which predict the wind stress coefficient that increase or saturate in extreme wind condition, underestimate the hurricane intensity. As a whole, we unify the evaluation methods of wind stress in different numerical models and yield reasonable results. Although it is too early to conclude that WBLM is totally applicable or the drag coefficient does decrease for high wind speed, our current research is considered to be a significant step for the application of air-sea interaction on the ocean and atmosphere modelling.

  4. Sediment transport on the Palos Verdes shelf over seasonal to decadal time scales

    USGS Publications Warehouse

    Wiberg, P.L.; Drake, D.E.; Harris, C.K.; Noble, M.

    2002-01-01

    We combine direct observations, longer-term wave data, and model calculations to characterize resuspension and transport of fine-grained, effluent-affected sediment on the Palos Verdes shelf. Near-bed waves, currents, and suspended sediment concentrations were monitored during the winter of 1992-93 with a bottom tripod and current-meter mooring at a 63-m-deep site. Wave conditions that winter were moderate (??? 2 year recurrence interval), and mean current was alongshelf to the northwest; currents were not significantly correlated with wave conditions. Seven wave events during the winter (December-March) produced near-bed wave orbital velocities at the study site in excess of 14 cm s-1, the observed threshold for significant resuspension. Three of these events occurred during the bottom tripod deployment and are characterized by the highest persistent suspended sediment concentrations in the tripod record. Suspended sediment flux was alongshelf to the northwest for 5 of the 6 wave events for which current data were available; one event occurred during low southeast currents. Measured suspended sediment concentration and grain size generally agree with values that were calculated using a shelf sediment transport model with no adjustment of parameters from values determined for two muddy sites on the northern California shelf. We extend our seasonal observations to a period of almost 2 decades by applying the observed thresholds for wave-driven resuspension to near-bed wave conditions calculated from NDBC Buoy 46025 surface wave data. An average of 10 resuspension events per year, with an average duration of 1.6 days, were identified at a water depth of 60 m; the number of events dropped to 3 per year at 90 m, beyond the shelf break. For the majority of these events, calculated net suspended sediment flux is toward the northwest (alongshelf) at an average rate of 140 kg m-1 h-1; about a third of the events have net southeastward flux at an average rate of 30 kg m-1 h-1. The calculated thickness of the resuspended surface layer of the bed was less than 1 cm for all events at 60 m. ?? 2002 Elsevier Science Ltd. All rights reserved.

  5. Calibration of Ocean Wave Measurements by the TOPEX, Jason-1, and Jason-2 Satellites

    NASA Technical Reports Server (NTRS)

    Ray, Richard D.; Beckley, B. D.

    2012-01-01

    The calibration and validation of ocean wave height measurements by the TOPEX, Jason-1, and Jason-2 satellite altimeters is addressed by comparing the measurements internally among them- selves and against independent wave measurements at moored buoys. The two six-month verification campaigns, when two of the satellites made near-simultaneous measurements along the same ground track, are invaluable for such work and reveal subtle aspects that otherwise might go undetected. The two Jason satellites are remarkably consistent; Topex reports waves generally 1-2% larger. External calibration is complicated by some systematic errors in the buoy data. We confirm a recent report by Durrant et al. that Canadian buoys underestimate significant wave heights by about 10% relative to U.S. buoys. Wave heights from all three altimetric satellites require scaling upwards by 5 6% to be consistent with U.S. buoys.

  6. Method and apparatus for production of subsea hydrocarbon formations

    DOEpatents

    Blandford, Joseph W.

    1995-01-01

    A system for controlling, separating, processing and exporting well fluids produced from subsea hydrocarbon formations is disclosed. The subsea well tender system includes a surface buoy supporting one or more decks above the water surface for accommodating equipment to process oil, gas and water recovered from the subsea hydrocarbon formation. The surface buoy includes a surface-piercing central flotation column connected to one or more external floatation tanks located below the water surface. The surface buoy is secured to the seabed by one or more tendons which are anchored to a foundation with piles imbedded in the seabed. The system accommodates multiple versions on the surface buoy configuration.

  7. Ocean power technology design optimization

    DOE PAGES

    van Rij, Jennifer; Yu, Yi -Hsiang; Edwards, Kathleen; ...

    2017-07-18

    For this study, the National Renewable Energy Laboratory and Ocean Power Technologies (OPT) conducted a collaborative code validation and design optimization study for OPT's PowerBuoy wave energy converter (WEC). NREL utilized WEC-Sim, an open-source WEC simulator, to compare four design variations of OPT's PowerBuoy. As an input to the WEC-Sim models, viscous drag coefficients for the PowerBuoy floats were first evaluated using computational fluid dynamics. The resulting WEC-Sim PowerBuoy models were then validated with experimental power output and fatigue load data provided by OPT. The validated WEC-Sim models were then used to simulate the power performance and loads for operationalmore » conditions, extreme conditions, and directional waves, for each of the four PowerBuoy design variations, assuming the wave environment of Humboldt Bay, California. And finally, ratios of power-to-weight, power-to-fatigue-load, power-to-maximum-extreme-load, power-to-water-plane-area, and power-to-wetted-surface-area were used to make a final comparison of the potential PowerBuoy WEC designs. Lastly, the design comparison methodologies developed and presented in this study are applicable to other WEC devices and may be useful as a framework for future WEC design development projects.« less

  8. Ocean power technology design optimization

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    van Rij, Jennifer; Yu, Yi -Hsiang; Edwards, Kathleen

    For this study, the National Renewable Energy Laboratory and Ocean Power Technologies (OPT) conducted a collaborative code validation and design optimization study for OPT's PowerBuoy wave energy converter (WEC). NREL utilized WEC-Sim, an open-source WEC simulator, to compare four design variations of OPT's PowerBuoy. As an input to the WEC-Sim models, viscous drag coefficients for the PowerBuoy floats were first evaluated using computational fluid dynamics. The resulting WEC-Sim PowerBuoy models were then validated with experimental power output and fatigue load data provided by OPT. The validated WEC-Sim models were then used to simulate the power performance and loads for operationalmore » conditions, extreme conditions, and directional waves, for each of the four PowerBuoy design variations, assuming the wave environment of Humboldt Bay, California. And finally, ratios of power-to-weight, power-to-fatigue-load, power-to-maximum-extreme-load, power-to-water-plane-area, and power-to-wetted-surface-area were used to make a final comparison of the potential PowerBuoy WEC designs. Lastly, the design comparison methodologies developed and presented in this study are applicable to other WEC devices and may be useful as a framework for future WEC design development projects.« less

  9. [Design and experimentation of marine optical buoy].

    PubMed

    Yang, Yue-Zhong; Sun, Zhao-Hua; Cao, Wen-Xi; Li, Cai; Zhao, Jun; Zhou, Wen; Lu, Gui-Xin; Ke, Tian-Cun; Guo, Chao-Ying

    2009-02-01

    Marine optical buoy is of important value in terms of calibration and validation of ocean color remote sensing, scientific observation, coastal environment monitoring, etc. A marine optical buoy system was designed which consists of a main and a slave buoy. The system can measure the distribution of irradiance and radiance over the sea surface, in the layer near sea surface and in the euphotic zone synchronously, during which some other parameters are also acquired such as spectral absorption and scattering coefficients of the water column, the velocity and direction of the wind, and so on. The buoy was positioned by GPS. The low-power integrated PC104 computer was used as the control core to collect data automatically. The data and commands were real-timely transmitted by CDMA/GPRS wireless networks or by the maritime satellite. The coastal marine experimentation demonstrated that the buoy has small pitch and roll rates in high sea state conditions and thus can meet the needs of underwater radiometric measurements, the data collection and remote transmission are reliable, and the auto-operated anti-biofouling devices can ensure that the optical sensors work effectively for a period of several months.

  10. Blue and Fin Whale Habitat Modeling from Long-Term Year-Round Passive Acoustic Data from the Southern California Bight

    DTIC Science & Technology

    2013-09-30

    remotely sensed data to be used for habitat modeling include sea surface temperature (SST), salinity, sea surface height, and chlorophyll a concentration...National Data Buoy Center for the parts of the SCB region with HARP deployments. Figure 1. Sixteen HARP deployment locations ( black squares...throughout the Southern California Bight between 2005 and 2012 from which data are processed for habitat modeling in this study. Light grey line

  11. 33 CFR 207.300 - Ohio River, Mississippi River above Cairo, Ill., and their tributaries; use, administration, and...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... District Engineer and market by signs and/or flashing red lights installed in conspicuous and appropriate... structures located on the left-hand side (facing downstream) of the river and a black can-type buoy for such... buoy of appropriate type and color (red nun or black can buoy) until covered by a depth of water equal...

  12. 33 CFR 207.300 - Ohio River, Mississippi River above Cairo, Ill., and their tributaries; use, administration, and...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... District Engineer and market by signs and/or flashing red lights installed in conspicuous and appropriate... structures located on the left-hand side (facing downstream) of the river and a black can-type buoy for such... buoy of appropriate type and color (red nun or black can buoy) until covered by a depth of water equal...

  13. Engineering Support for the Development of a Submersible Fish Cage for Open Ocean Aquaculture

    DTIC Science & Technology

    2007-01-01

    32 Appendix B: Feed Hose Buoy Components ................................................................. 33...ballasting systems (for test purposes) located in the upper rim section and airlift. Another component of the system includes a feed hose buoy used...to deliver pellets to fish in the cage while the system is submerged. Since the feed hose buoy was not critical in the development of the fish

  14. 33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. 165.812 Section 165.812 Navigation..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi... Lower Mississippi River mile marker 96.0 in New Orleans, Louisiana. These moving security zones...

  15. Arctic (and Antarctic) Observing Experiment - an Assessment of Methods to Measure Temperature over Polar Environments

    NASA Astrophysics Data System (ADS)

    Rigor, I. G.; Clemente-Colon, P.; Nghiem, S. V.; Hall, D. K.; Woods, J. E.; Henderson, G. R.; Zook, J.; Marshall, C.; Gallage, C.

    2014-12-01

    The Arctic environment has been undergoing profound changes; the most visible is the dramatic decrease in Arctic sea ice extent (SIE). These changes pose a challenge to our ability to measure surface temperature across the Polar Regions. Traditionally, the International Arctic Buoy Programme (IABP) and International Programme for Antarctic Buoys (IPAB) have measured surface air temperature (SAT) at 2-m height, which minimizes the ambiguity of measurements near of the surface. Specifically, is the temperature sensor measuring open water, snow, sea ice, or air? But now, with the dramatic decrease in Arctic SIE, increase in open water during summer, and the frailty of the younger sea ice pack, the IABP has had to deploy and develop new instruments to measure temperature. These instruments include Surface Velocity Program (SVP) buoys, which are commonly deployed on the world's ice-free oceans and typically measure sea surface temperature (SST), and the new robust Airborne eXpendable Ice Beacons (AXIB), which measure both SST and SAT. "Best Practice" requires that these instruments are inter-compared, and early results showing differences in collocated temperature measurements of over 2°C prompted the establishment of the IABP Arctic Observing Experiment (AOX) buoy test site at the US Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) site in Barrow, Alaska. Preliminary results showed that the color of the hull of SVP buoys introduces a bias due to solar heating of the buoy. Since then, we have recommended that buoys should be painted white to reduce biases in temperature measurements due to different colors of the buoys deployed in different regions of the Arctic or the Antarctic. Measurements of SAT are more robust, but some of the temperature shields are susceptible to frosting. During our presentation we will provide an intercomparison of the temperature measurements at the AOX test site (i.e. high quality DOE/ARM observations compared with unattended buoy measurements, and satellite retrievals). We will also show how these data may be used to improve our record of temperature over polar environments.

  16. Real-time and on-demand buoy observation system for tsunami and crustal displacement

    NASA Astrophysics Data System (ADS)

    Takahashi, N.; Imai, K.; Ishihara, Y.; Fukuda, T.; Ochi, H.; Suzuki, K.; Kido, M.; Ohta, Y.; Imano, M.; Hino, R.

    2017-12-01

    We develop real-time and on-demand buoy observation system for tsunami and crustal displacement. It is indispensable for observation of crustal displacement to understand changes of stress field related to future large earthquakes. The current status of the observation is carried out by using a vessel with an interval of a few times per a year. When a large earthquake occurs, however, we need dense or on-demand observation of the crustal displacement to grasp nature of the slow slip after the rupture. Therefore, we constructed buoy system with a buoy station, wire-end station, seafloor unit and acoustic transponders for crustal displacement, and we installed a pressure sensor on the seafloor unit and GNSS system on the buoy in addition to measurement of e distance between the buoy and the seafloor acoustic transponders. Tsunami is evaluated using GNSS data and pressure data sent from seafloor. Observation error of the GNSS is about 10 cm. The crustal displacement is estimated using pressure sensor for vertical and acoustic measurement for horizontal. Using current slack ratio of 1.58, the observation error for the measurement of the crustal displacement is about 10 cm. We repeated three times sea trials and confirmed the data acquisition with high data quality, mooring without dredging anchor in the strong sea current with a speed of 5.5 knots. Current issues to be resolved we face are removing noises on the acoustic data transmission, data transmission between the buoy and wire-end stations, electrical consumption on the buoy station and large observation error on the crustal displacement due to large slack ratio. We consider the change of the acoustic transmission for pressure data, replace of a GNSS data logger with large electrical consumption, and reduce of the slack ratio, and search method to reduce resistance of the buoy on the sea water. In this presentation, we introduce the current status of the technical development and tsunami waveforms recorded on our seafloor unit using recent tsunami signals earthquake for the data quality check.

  17. Method and apparatus for production of subsea hydrocarbon formations

    DOEpatents

    Blandford, J.W.

    1995-01-17

    A system for controlling, separating, processing and exporting well fluids produced from subsea hydrocarbon formations is disclosed. The subsea well tender system includes a surface buoy supporting one or more decks above the water surface for accommodating equipment to process oil, gas and water recovered from the subsea hydrocarbon formation. The surface buoy includes a surface-piercing central flotation column connected to one or more external flotation tanks located below the water surface. The surface buoy is secured to the sea bed by one or more tendons which are anchored to a foundation with piles imbedded in the sea bed. The system accommodates multiple versions on the surface buoy configuration. 20 figures.

  18. DOE Office of Scientific and Technical Information (OSTI.GOV)

    None

    The objectives of the SNAP 7A program were to design, manufacture, test, and deliver a five-watt electric generation system for a U. S. Coast Guard 8 x 26E light buoy. The 10-watt Sr/sup 90/ thermoelectric generator, the d-c-to-d-c converter, batteries and the method of installation in the light buoy are describcd. The SNAP 7A generator was fueled with four capsules containing a total of 40,800 curies of Sr/sup 90/ titanate. After fueling and testing, the SNAP 7A electric generating system was installed in the Coast Guard light buoy at Baltimore, Maryland, on December 15, 1961. Operation of the buoy lampmore » is continuous. (auth)« less

  19. Design of the dual-buoy wave energy converter based on actual wave data of East Sea

    NASA Astrophysics Data System (ADS)

    Kim, Jeongrok; Kweon, Hyuck-Min; Jeong, Weon-Mu; Cho, Il-Hyoung; Cho, Hong-Yeon

    2015-07-01

    A new conceptual dual-buoy Wave Energy Converter (WEC) for the enhancement of energy extraction efficiency is suggested. Based on actual wave data, the design process for the suggested WEC is conducted in such a way as to ensure that it is suitable in real sea. Actual wave data measured in Korea's East Sea (position: 36.404 N° and 129.274 E°) from May 1, 2002 to March 29, 2005 were used as the input wave spectrum for the performance estimation of the dual-buoy WEC. The suggested WEC, a point absorber type, consists of two concentric floating circular cylinders (an inner and a hollow outer buoy). Multiple resonant frequencies in proposed WEC affect the Power Ttake-off (PTO) performance of the WEC. Based on the numerical results, several design strategies are proposed to further enhance the extraction efficiency, including intentional mismatching among the heave natural frequencies of dual buoys, the natural frequency of the internal fluid, and the peak frequency of the input wave spectrum.

  20. Validation and Interpretation of a New Sea Ice Globice Dataset Using Buoys and the Cice Sea Ice Model

    NASA Astrophysics Data System (ADS)

    Flocco, D.; Laxon, S. W.; Feltham, D. L.; Haas, C.

    2011-12-01

    The GlobIce project has provided high resolution sea ice product datasets over the Arctic derived from SAR data in the ESA archive. The products are validated sea ice motion, deformation and fluxes through straits. GlobIce sea ice velocities, deformation data and sea ice concentration have been validated using buoy data provided by the International Arctic Buoy Program (IABP). Over 95% of the GlobIce and buoy data analysed fell within 5 km of each other. The GlobIce Eulerian image pair product showed a high correlation with buoy data. The sea ice concentration product was compared to SSM/I data. An evaluation of the validity of the GlobICE data will be presented in this work. GlobICE sea ice velocity and deformation were compared with runs of the CICE sea ice model: in particular the mass fluxes through the straits were used to investigate the correlation between the winter behaviour of sea ice and the sea ice state in the following summer.

  1. Study of hydrodynamic characteristics of a Sharp Eagle wave energy converter

    NASA Astrophysics Data System (ADS)

    Zhang, Ya-qun; Sheng, Song-wei; You, Ya-ge; Huang, Zhen-xin; Wang, Wen-sheng

    2017-06-01

    According to Newton's Second Law and the microwave theory, mechanical analysis of multiple buoys which form Sharp Eagle wave energy converter (WEC) is carried out. The movements of every buoy in three modes couple each other when they are affected with incident waves. Based on the above, mechanical models of the WEC are established, which are concerned with fluid forces, damping forces, hinge forces, and so on. Hydrodynamic parameters of one buoy are obtained by taking the other moving buoy as boundary conditions. Then, by taking those hydrodynamic parameters into the mechanical models, the optimum external damping and optimal capture width ratio are calculated out. Under the condition of the optimum external damping, a plenty of data are obtained, such as the displacements amplitude of each buoy in three modes (sway, heave, pitch), damping forces, hinge forces, and speed of the hydraulic cylinder. Research results provide theoretical references and basis for Sharp Eagle WECs in the design and manufacture.

  2. Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river

    USGS Publications Warehouse

    Roseman, Edward F.; Kennedy, Gregory W.; Craig, Jaquelyn; Boase, James; Soper, Karen

    2011-01-01

    In this report we describe how we adapted two techniques for sampling lake sturgeon (Acipenser fulvescens) and other fish early life history stages to meet our research needs in the Detroit River, a deep, flowing Great Lakes connecting channel. First, we developed a buoy-less method for sampling fish eggs and spawning activity using egg mats deployed on the river bottom. The buoy-less method allowed us to fish gear in areas frequented by boaters and recreational anglers, thus eliminating surface obstructions that interfered with recreational and boating activities. The buoy-less method also reduced gear loss due to drift when masses of floating aquatic vegetation would accumulate on buoys and lines, increasing the drag on the gear and pulling it downstream. Second, we adapted a D-frame drift net system formerly employed in shallow streams to assess larval lake sturgeon dispersal for use in the deeper (>8 m) Detroit River using an anchor and buoy system.

  3. Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river

    USGS Publications Warehouse

    Roseman, E.F.; Boase, J.; Kennedy, G.; Craig, J.; Soper, K.

    2011-01-01

    In this report we describe how we adapted two techniques for sampling lake sturgeon (Acipenser fulvescens) and other fish early life history stages to meet our research needs in the Detroit River, a deep, flowing Great Lakes connecting channel. First, we developed a buoy-less method for sampling fish eggs and spawning activity using egg mats deployed on the river bottom. The buoy-less method allowed us to fish gear in areas frequented by boaters and recreational anglers, thus eliminating surface obstructions that interfered with recreational and boating activities. The buoy-less method also reduced gear loss due to drift when masses of floating aquatic vegetation would accumulate on buoys and lines, increasing the drag on the gear and pulling it downstream. Second, we adapted a D-frame drift net system formerly employed in shallow streams to assess larval lake sturgeon dispersal for use in the deeper (>8m) Detroit River using an anchor and buoy system. ?? 2011 Blackwell Verlag, Berlin.

  4. Seasonal Ice Zone Reconnaissance Surveys Coordination and Ocean Profiles

    DTIC Science & Technology

    2015-09-30

    Morison), UpTempO buoy measurements of sea surface temperature (SST), sea level atmospheric pressure ( SLP ), and velocity (Steele), and dropsonde...dropsondes, micro-aircraft), cloud top/base heights UpTempO buoys for understanding and prediction…. Steele UpTempO buoy drops for SLP , SST, SSS...Air Expendable Current Profiler, SLP = Sea Level atmospheric Pressure, SST= Seas Surface Temperature, A/C= aircraft, SIC=Sea Ice Concentration We

  5. 33 CFR 165.704 - Safety Zone; Tampa Bay, Florida.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... safety zone starts at Tampa Bay Cut “F” Channel from Lighted Buoys “3F” and “4F” and proceeds north ending at Gadsden Point Cut Lighted Buoys “3” and “4”. The safety zone starts again at Gadsden Point Cut Lighted Buoys “7” and “8” and proceeds north through Hillsborough Cut “C”, Port Sutton Entrance Channel...

  6. A hybrid genetic algorithm-extreme learning machine approach for accurate significant wave height reconstruction

    NASA Astrophysics Data System (ADS)

    Alexandre, E.; Cuadra, L.; Nieto-Borge, J. C.; Candil-García, G.; del Pino, M.; Salcedo-Sanz, S.

    2015-08-01

    Wave parameters computed from time series measured by buoys (significant wave height Hs, mean wave period, etc.) play a key role in coastal engineering and in the design and operation of wave energy converters. Storms or navigation accidents can make measuring buoys break down, leading to missing data gaps. In this paper we tackle the problem of locally reconstructing Hs at out-of-operation buoys by using wave parameters from nearby buoys, based on the spatial correlation among values at neighboring buoy locations. The novelty of our approach for its potential application to problems in coastal engineering is twofold. On one hand, we propose a genetic algorithm hybridized with an extreme learning machine that selects, among the available wave parameters from the nearby buoys, a subset FnSP with nSP parameters that minimizes the Hs reconstruction error. On the other hand, we evaluate to what extent the selected parameters in subset FnSP are good enough in assisting other machine learning (ML) regressors (extreme learning machines, support vector machines and gaussian process regression) to reconstruct Hs. The results show that all the ML method explored achieve a good Hs reconstruction in the two different locations studied (Caribbean Sea and West Atlantic).

  7. Design of a Low-cost Oil Spill Tracking Buoy

    NASA Astrophysics Data System (ADS)

    Zhao, Y.; Hu, X.; Yu, F.; Dong, S.; Chen, G.

    2017-12-01

    As the rapid development of oil exploitation and transportation, oil spill accidents, such as Prestige oil spill, Gulf of Mexico oil spill accident and so on, happened frequently in recent years which would result in long-term damage to the environment and human life. It would be helpful for rescue operation if we can locate the oil slick diffusion area in real time. Equipped with GNSS system, current tracking buoys(CTB), such as Lagrangian drifting buoy, Surface Velocity Program (SVP) drifter, iSLDMB (Iridium self locating datum marker buoy) and Argosphere buoy, have been used as oil tracking buoy in oil slick observation and as validation tools for oil spill simulation. However, surface wind could affect the movement of oil slick, which couldn't be reflected by CTB, thus the oil spill tracking performance is limited. Here, we proposed an novel oil spill tracking buoy (OSTB) which has a low cost of less than $140 and is equipped with Beidou positioning module and sails to track oil slick. Based on hydrodynamic equilibrium model and ocean dynamic analysis, the wind sails and water sails are designed to be adjustable according to different marine conditions to improve tracking efficiency. Quick release device is designed to assure easy deployment from air or ship. Sea experiment was carried out in Jiaozhou Bay, Northern China. OSTB, SVP, iSLDMB, Argosphere buoy and a piece of oil-simulated rubber sheet were deployed at the same time. Meanwhile, oil spill simulation model GNOME (general NOAA operational modeling environment) was configured with the wind and current field, which were collected by an unmanned surface vehicle (USV) mounted with acoustic Doppler current profilers (ADCP) and wind speed and direction sensors. Experimental results show that the OSTB has better relevance with rubber sheet and GNOME simulation results, which validate the oil tracking ability of OSTB. With low cost and easy deployment, OSTB provides an effective way for oil spill numerical modeling validation and quick response to oil spill accidents.

  8. Gulf of Mexico Monitoring Via The Remotely Controlled CMR SailBuoy

    NASA Astrophysics Data System (ADS)

    Wienders, N.; Hole, L. R.; Peddie, D.

    2013-12-01

    The CMR SailBuoy is an unmanned ocean vessel capable of traveling the oceans for extended periods of time. It navigates the oceans autonomously - transmitting data at regular intervals using the Iridium network for two way communication. The SailBuoy can be used for a wide variety of ocean applications from measuring ocean and atmospheric parameters to tracking oil spills or acting as a communication relay station for subsea instrumentation. As part of the Deep-C project(Deep Sea to Coast Connectivity in the Eastern Gulf of Mexico), a two month campaign was carried out from March to May 2013 with the purpose of collecting sea surface data (temperature, salinity and oxygen) during the spring bloom. The campaign was unique in that the SailBouy was remotely controlled from Norway after being deployed from the RV Apalachee. The SailBuoy was deployed approximately 11 nautical miles (nm) south of Cape San Blas. During its mission she sailed approximately 840nm on a cruise track across the Gulf coast, from the Florida Panhandle to Louisiana. The SailBuoy project is part of Deep-C's physical oceanography research which seeks to, among other things, understand how particles and dissolved substances (such as oil) travel from the deep sea to the Louisiana, Mississippi, Alabama and Florida shorelines. This involves cross-shelf transport and upwelling mechanisms, which the SailBuoy is capable of measuring. An other focus was the sampling of the Mississippi river plume, which has been shown to influence the distribution of particles, oil, dissolved substances in the water, at least at the surface level. Sea surface salinity measurement via satellite do not provide, at the moment, sufficient resolution and accuracy and instead, the SailBuoy seems to be a very convenient instrument to track river plumes. In this presentation we describe the collected data and include comparisons with high resolution ocean model outputs. We also present further plans for SailBuoy campaigns.

  9. Typhoon generated surface gravity waves measured by NOMAD-type buoys

    NASA Astrophysics Data System (ADS)

    Collins, Clarence O., III

    This study examines wind-generated ocean surface waves as measured by NOMAD-type buoys during the ONR-sponsored Impact of Typhoons on the Ocean in the Pacific (ITOP) field experiment in 2010. 1-D measurements from two new Extreme Air-Sea Interaction (EASI) NOMAD-type buoys were validated against measurements from established Air-Sea Interaction Spar (ASIS) buoys. Also, during ITOP, 3 drifting Miniature Wave Buoys, a wave measuring marine radar on the R/V Roger Revelle, and several overpasses of JASON-1 (C- and Ku-band) and -2 (Ku-band) satellite altimeters were within 100 km of either EASI buoy. These additional measurements were compared against both EASI buoys. Findings are in line with previous wave parameter inter-comparisons. A corroborated measurement of mean wave direction and direction at the peak of the spectrum from the EASI buoy is presented. Consequently, this study is the first published account of directional wave information which has been successfully gathered from a buoy with a 6 m NOMAD-type hull. This result may be applied to improve operational coverage of wave direction. In addition, details for giving a consistent estimate of sea surface elevation from buoys using strapped down accelerometers are given. This was found to be particularly important for accurate measurement of extreme waves. These technical studies established a high level of confidence in the ITOP wave measurements. Detailed frequency-direction spectra were analyzed. Structures in the wave field were described during the close passages of 4 major tropical cyclones (TC) including: severe tropical storm Dianmu, Typhoon Fanapi, Super Typhoon Megi, and Typhoon Chaba. In addition, significant swell was measured from a distant 5th TC, Typhoon Malakas. Changes in storm direction and intensity are found to have a profound impact on the wave field. Measurements of extreme waves were explored. More extreme waves were measured during TCs which coincided with times of increased wave steepness. The largest extreme waves, which are more impressive than the Draupner (aka Newyears) wave in terms of normalized wave height, were found to occur under circumstances which support the theory of modulation instability. It is suggested that swell and wind sea, as generated by complex TCs winds, may merge and/or couple in such a way to produce sea-states which are unstable. The largest extreme wave, which was over 21 m high, appears to have occurred under such circumstances. However, the development of unstable seas, and the possible connection between the occurrence of extreme waves and unstable seas, has yet to be confirmed.

  10. Quantifying the Benefits of Combining Offshore Wind and Wave Energy

    NASA Astrophysics Data System (ADS)

    Stoutenburg, E.; Jacobson, M. Z.

    2009-12-01

    For many locations the offshore wind resource and the wave energy resource are collocated, which suggests a natural synergy if both technologies are combined into one offshore marine renewable energy plant. Initial meteorological assessments of the western coast of the United States suggest only a weak correlation in power levels of wind and wave energy at any given hour associated with the large ocean basin wave dynamics and storm systems of the North Pacific. This finding indicates that combining the two power sources could reduce the variability in electric power output from a combined wind and wave offshore plant. A combined plant is modeled with offshore wind turbines and Pelamis wave energy converters with wind and wave data from meteorological buoys operated by the US National Buoy Data Center off the coast of California, Oregon, and Washington. This study will present results of quantifying the benefits of combining wind and wave energy for the electrical power system to facilitate increased renewable energy penetration to support reductions in greenhouse gas emissions, and air and water pollution associated with conventional fossil fuel power plants.

  11. Worldwide Buoy Technology Survey. Volume 2. Appendix B. Buoy Records. Book 2. Germany - USA

    DTIC Science & Technology

    1991-02-01

    arrangement and effectiveness of the complete system could not be addressed in detail within the constraints of this project. In an overall evaluation of...the SRA system , such considerations should also be addressed. The USCG’s Waterway Analysis and Management System (WAMS) is considering this matter as...project. The task includes the screening of worldwide engineering and technical information on buoy systems , approaches to problem solving (particularly

  12. US program in anchored data buoy and the other fixed observation platforms

    NASA Astrophysics Data System (ADS)

    McCall, J. C.

    The NOAA Data Buoy Office (NOBO) develops and operates moored buoys in all U.S. coastal and offshore waters from New England to Hawaii (including the Great Lakes) to provide real-time environmental measurements in data-sparse areas for the National Weather Service and other public and private users. The NOBO also has a program for development, deployment, and operation of drifting buoys, which provide environmental measurements in the South Atlantic and Pacific from Chili to Australia and in the Northern Hemisphere. In addition, NOBO develops, deploys, and operates special purpose environmental measuring systems for other government agencies, particularly for petroleum-related purposes, and has an engineering development effort in procuring new and improved sensor and communications systems.

  13. Geophysical monitoring of the submerged area of the Campi Flegrei caldera (Southern Italy): experiences and perspectives

    NASA Astrophysics Data System (ADS)

    Iannaccone, Giovanni; Guardato, Sergio; De Martino, Prospero; Donnarumma, Gian Paolo; Bobbio, Antonella; Chierici, Francesco; Pignagnoli, Luca; Beranzoli, Laura

    2016-04-01

    The monitoring system of the Campi Flegrei caldera is made up of a dense geophysical network of seismological and geodetic instruments with data acquired and processed at the Monitoring Center of INGV in Naples. As one third of the caldera is covered by the sea, a marine monitoring system has been operating since 2008 in the center of the gulf of Pozzuoli, where the sea depth is about 100 m at ~2.5 km from the coast. The main component of the monitoring system is CUMAS (Cabled Underwater Multidisciplinary Acquisition System), which consists of a sea floor module equipped with geophysical and oceanographic sensors (broad band seismometer, accelerometer, hydrophone, bottom pressure recorder and single point three component water-current meter) and status and control sensors. CUMAS is connected by cable to the top of an elastic beacon buoy equipped with the power supply and data transmission devices. The buoy consists of a float placed below sea level, surrounding and holding a steel pole that supports a turret structure above sea level. The pole, turret and float system are rigidly connected to the ballast on the sea bottom. Thus a GPS installed on the turret can record the vertical sea floor displacement related to the volcanic activity of the area. The GPS has operated since January 2012 with continuous acquisition lasting more than three years and has recorded a cumulative seafloor uplift of about 7-8 cm. The comparison of the pattern of the GPS buoy data with those of the land stations confirms a quasi-symmetrical vertical displacement field of the caldera area. Measurement of vertical sea floor displacement has also been obtained by the analysis of bottom pressure recorder data. These results, in conjunction with the analysis of seismic and hydrophone data, have encouraged us to extend the marine monitoring system with the deployment in the Gulf of Pozzuoli of three new similar systems. We also present preliminary results of the first few months of activity of these new systems.

  14. Annual and Seasonal Variability of Net Heat Budget in the Northern Indian Ocean

    NASA Astrophysics Data System (ADS)

    Pinker, Rachel T.; Bentamy, Abderrahim; Chen, Wen; Kumar, M. R. Ramesh; Mathew, Simi; Venkatesan, Ramasamy

    2017-04-01

    In this study we investigate the spatial and temporal features of the net heat budget over the Northern Indian Ocean (focusing on the Arabian Sea and the Bay of Bengal), using satellite and numerical model estimates. The main objective is to characterize the annual, seasonal, and inter-annual patterns over this basin of climatic significance. To assess the temporal variability, several turbulent and radiative fluxes are used The turbulent fluxes are based on information from the Institut Français pout la Recherche et l'Exploitation de la MER (IFREMER V3), the Hamburg Ocean-Atmosphere Parameters from Satellite (HOAPS V3), the SEAFLUX V1, the Japanese Ocean Flux Data sets with Use of Remote Sensing Observations (J-OFURO V2), the Objective Analysis Fluxes (OAFlux V2), the European Center for Medium Weather Forecasts (ECMWF), the ERA Interim, the National centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis, CFSR, and the National Aeronautics Space Administration (NASA) Modern Era Retrospective Analysis for Research and Application (MERRA). The radiative fluxes, both shortwave and longwave, include those produced at the University of Maryland (UMD) as well as those derived from several of the above mentioned numerical models. An attempt will be made to evaluate the various fluxes against buoy observations such as those from the RAMA array. The National Institute of Ocean Technology, Chennai, India under its Ocean Observation Program has deployed a series of OMNI Buoys both in the Arabian Sea and the Bay of Bengal. These buoys are equipped with sensors to measure the radiation as well as other parameters. Comparison has been done with the OMNI observations and good agreement has been found with the current set-up of the instrument at a 3 m level. We found significant differences between the various products at specific locations. The ultimate objective is to investigates the sources of the differences in terms of atmospheric variables (surface winds, air temperature and humidity), oceanic variables (sea surface temperature, sea state), and on bulk parametrizations.

  15. Circulation patterns in the deep Subtropical Northeast Atlantic with ARGO data

    NASA Astrophysics Data System (ADS)

    Calheiros, Tomas; Bashmachnikov, Igor

    2014-05-01

    In this work we study the dominant circulation patterns in the Subtropical Northeast Atlantic using ARGO data [25-45o N, 5-35o W]. The data were obtained from the Coriolis operational data center (ftp://ftp.ifremer.fr) for the years 1999-2013. During this period of time in the study there were available area 376 floats with 15062 float-months of total time. The floats were launched in the depths range between 300 and 2000 m, but most of the floats were concentrated at 1000 m (2000 float-months) and 1500 m (3400 float-months). In the upper 400-m layer there were also about 1000 float-months, but their number and distribution did not allow analysis of the mean currents over the study region. For each float position Lagrangian current velocity was computed as the difference between the position when the buoy started sinking to the reference depth and the consequent position of surfacing of the float, divided by the respective time interval. This allowed reducing the noise related with sea-surface drift of the buoys during the data-transmission periods. Mean Eulerian velocity and its error were computed in each of the 2ox2o square. Whenever in a 2ox2o square more than 150 observations of the Lagrangian velocity were available, the square was split into 4 smaller 1ox1o squares, in each of which the mean Eulerian velocities and their errors were estimated. Eulerian currents at 1000 m, as well as at 1500 m depth formed an overall anticyclonic circulation pattern in the study region. The modal velocity of all buoys at 1000 m level was 4 cm/s with an error of the mean of 1.8 cm/s. The modal velocity of all buoys at 1500m was 3 cm/s with an error of the mean of 1.4 cm/s. The southwestward flows near the Madeira Island and further westwards flow along the zonal band of 25-30o N at 1500 m depth well corresponded to the extension of the deep fraction of the Mediterranean Water salt tong.

  16. Precise mean sea level measurements using the Global Positioning System

    NASA Technical Reports Server (NTRS)

    Kelecy, Thomas M.; Born, George H.; Parke, Michael E.; Rocken, Christian

    1994-01-01

    This paper describes the results of a sea level measurement test conducted off La Jolla, California, in November of 1991. The purpose of this test was to determine accurate sea level measurements using a Global Positioning System (GPS) equipped buoy. These measurements were intended to be used as the sea level component for calibration of the ERS 1 satellite altimeter. Measurements were collected on November 25 and 28 when the ERS 1 satellite overflew the calibration area. Two different types of buoys were used. A waverider design was used on November 25 and a spar design on November 28. This provided the opportunity to examine how dynamic effects of the measurement platform might affect the sea level accuracy. The two buoys were deployed at locations approximately 1.2 km apart and about 15 km west of a reference GPS receiver located on the rooftop of the Institute of Geophysics and Planetary Physics at the Scripps Institute of Oceanography. GPS solutions were computed for 45 minutes on each day and used to produce two sea level time series. An estimate of the mean sea level at both locations was computed by subtracting tide gage data collected at the Scripps Pier from the GPS-determined sea level measurements and then filtering out the high-frequency components due to waves and buoy dynamics. In both cases the GPS estimate differed from Rapp's mean altimetric surface by 0.06 m. Thus, the gradient in the GPS measurements matched the gradient in Rapp's surface. These results suggest that accurate sea level can be determined using GPS on widely differing platforms as long as care is taken to determine the height of the GPS antenna phase center above water level. Application areas include measurement of absolute sea level, of temporal variations in sea level, and of sea level gradients (dominantly the geoid). Specific applications would include ocean altimeter calibration, monitoring of sea level in remote regions, and regional experiments requiring spatial and temporal resolution higher than that available from altimeter data.

  17. Modeling long period swell in Southern California: Practical boundary conditions from buoy observations and global wave model predictions

    NASA Astrophysics Data System (ADS)

    Crosby, S. C.; O'Reilly, W. C.; Guza, R. T.

    2016-02-01

    Accurate, unbiased, high-resolution (in space and time) nearshore wave predictions are needed to drive models of beach erosion, coastal flooding, and alongshore transport of sediment, biota and pollutants. On highly sheltered shorelines, wave predictions are sensitive to the directions of onshore propagating waves, and nearshore model prediction error is often dominated by uncertainty in offshore boundary conditions. Offshore islands and shoals, and coastline curvature, create complex sheltering patterns over the 250km span of southern California (SC) shoreline. Here, regional wave model skill in SC was compared for different offshore boundary conditions created using offshore buoy observations and global wave model hindcasts (National Oceanographic and Atmospheric Administration Wave Watch 3, WW3). Spectral ray-tracing methods were used to transform incident offshore swell (0.04-0.09Hz) energy at high directional resolution (1-deg). Model skill is assessed for predictions (wave height, direction, and alongshore radiation stress) at 16 nearshore buoy sites between 2000 and 2009. Model skill using buoy-derived boundary conditions is higher than with WW3-derived boundary conditions. Buoy-driven nearshore model results are similar with various assumptions about the true offshore directional distribution (maximum entropy, Bayesian direct, and 2nd derivative smoothness). Two methods combining offshore buoy observations with WW3 predictions in the offshore boundary condition did not improve nearshore skill above buoy-only methods. A case example at Oceanside harbor shows strong sensitivity of alongshore sediment transport predictions to different offshore boundary conditions. Despite this uncertainty in alongshore transport magnitude, alongshore gradients in transport (e.g. the location of model accretion and erosion zones) are determined by the local bathymetry, and are similar for all predictions.

  18. New buoy observation system for tsunami and crustal deformation

    NASA Astrophysics Data System (ADS)

    Takahashi, Narumi; Ishihara, Yasuhisa; Ochi, Hiroshi; Fukuda, Tatsuya; Tahara, Jun'ichiro; Maeda, Yosaku; Kido, Motoyuki; Ohta, Yusaku; Mutoh, Katsuhiko; Hashimoto, Gosei; Kogure, Satoshi; Kaneda, Yoshiyuki

    2014-09-01

    We have developed a new system for real-time observation of tsunamis and crustal deformation using a seafloor pressure sensor, an array of seafloor transponders and a Precise Point Positioning (PPP ) system on a buoy. The seafloor pressure sensor and the PPP system detect tsunamis, and the pressure sensor and the transponder array measure crustal deformation. The system is designed to be capable of detecting tsunami and vertical crustal deformation of ±8 m with a resolution of less than 5 mm. A noteworthy innovation in our system is its resistance to disturbance by strong ocean currents. Seismogenic zones near Japan lie in areas of strong currents like the Kuroshio, which reaches speeds of approximately 5.5 kt (2.8 m/s) around the Nankai Trough. Our techniques include slack mooring and new acoustic transmission methods using double pulses for sending tsunami data. The slack ratio can be specified for the environment of the deployment location. We can adjust slack ratios, rope lengths, anchor weights and buoy sizes to control the ability of the buoy system to maintain freeboard. The measured pressure data is converted to time difference of a double pulse and this simple method is effective to save battery to transmit data. The time difference of the double pulse has error due to move of the buoy and fluctuation of the seawater environment. We set a wire-end station 1,000 m beneath the buoy to minimize the error. The crustal deformation data is measured by acoustic ranging between the buoy and six transponders on the seafloor. All pressure and crustal deformation data are sent to land station in real-time using iridium communication.

  19. System Identification and Control of a Joint-Actuated Buoy

    DTIC Science & Technology

    2014-05-09

    14 Figure 9: Green and Orange Colored Stripes of Craft Foam on the Buoy Payload ........... 15 Figure 10: Buoy Step...circuit board. The copper and blue paper were then heated in a press-n-peel press for just over one minute to allow the printer toner to bond with the...equidistant to each other running along the length of the payload, as shown in Figure 9. Figure 9: Green and Orange Colored Stripes of Craft Foam

  20. Selected Tools and Techniques for Physical and Biological Monitoring of Aquatic Dredged Material Disposal Sites

    DTIC Science & Technology

    1990-09-01

    expanded in a specific direction if movement is indicated. Controlled dumping at precise coordinates or at marker buoys may reduce the required survey area...of the meters or theft of the marker buoys. Subsurface markers using acoustic releases prevent vandalism and loss of marker buoys, but they...data from field studies such as impact investigations ’Underwood 1981; Heck and Horowitz 1984; Hurlbert 1984; Millard and Lettenmaier 1986; Stewart

  1. Validation and Interpretation of a new sea ice GlobIce dataset using buoys and the CICE sea ice model

    NASA Astrophysics Data System (ADS)

    Flocco, D.; Laxon, S. W.; Feltham, D. L.; Haas, C.

    2012-04-01

    The GlobIce project has provided high resolution sea ice product datasets over the Arctic derived from SAR data in the ESA archive. The products are validated sea ice motion, deformation and fluxes through straits. GlobIce sea ice velocities, deformation data and sea ice concentration have been validated using buoy data provided by the International Arctic Buoy Program (IABP). Over 95% of the GlobIce and buoy data analysed fell within 5 km of each other. The GlobIce Eulerian image pair product showed a high correlation with buoy data. The sea ice concentration product was compared to SSM/I data. An evaluation of the validity of the GlobICE data will be presented in this work. GlobICE sea ice velocity and deformation were compared with runs of the CICE sea ice model: in particular the mass fluxes through the straits were used to investigate the correlation between the winter behaviour of sea ice and the sea ice state in the following summer.

  2. Estimation of excitation forces for wave energy converters control using pressure measurements

    NASA Astrophysics Data System (ADS)

    Abdelkhalik, O.; Zou, S.; Robinett, R.; Bacelli, G.; Wilson, D.

    2017-08-01

    Most control algorithms of wave energy converters require prediction of wave elevation or excitation force for a short future horizon, to compute the control in an optimal sense. This paper presents an approach that requires the estimation of the excitation force and its derivatives at present time with no need for prediction. An extended Kalman filter is implemented to estimate the excitation force. The measurements in this approach are selected to be the pressures at discrete points on the buoy surface, in addition to the buoy heave position. The pressures on the buoy surface are more directly related to the excitation force on the buoy as opposed to wave elevation in front of the buoy. These pressure measurements are also more accurate and easier to obtain. A singular arc control is implemented to compute the steady-state control using the estimated excitation force. The estimated excitation force is expressed in the Laplace domain and substituted in the control, before the latter is transformed to the time domain. Numerical simulations are presented for a Bretschneider wave case study.

  3. Observing the advection of sea ice in the Weddell Sea using buoy and satellite passive microwave data

    NASA Technical Reports Server (NTRS)

    Massom, Robert A.

    1992-01-01

    Data from four buoys tracked by Nimbus 6 and concurrent ice concentrations retrieved from Nimbus 7 scanning multichannel microwave radiometer data are used to investigate the progress and behavior of an area of sea ice as it drifts from the southwestern Weddell Sea. The overall drift characteristics and their relationship to ice edge displacement are examined within the framework of four zones. Three phases are identified in the large-scale behavior of the Weddell Sea ice cover, namely, a rapid equatorward and eastward advance, a quasi-equilibrium phase, and a period of rapid recession. Outbreaks of cold continental air alternate with incursions of relatively warm air from the north; warm conditions are recorded as far as 1200 km in from the ice edge in winter. Closed loops in the buoy trajectories, which are clockwise to the south of 63 deg S, reverse to become anticlockwise to the north. A coherence is observed in the response of the buoys to the passage of storms, even though the buoys separated by a distance of over 100 km.

  4. Visible and Thermal Imaging of Sea Ice and Open Water from Coast Guard Arctic Domain Awareness Flights

    DTIC Science & Technology

    2014-09-30

    dropsondes, micro- aircraft), cloud top/base heights Arctic Ocean Surface Temperature project Steele Buoy drops for SLP , SST, SSS, & surface velocity...Colón & Vancas (NIC) Drop buoys for SLP , temperature and surface velocity Waves & Fetch in the MIZ Thompson SWIFTS buoys measuring wave energy...Expendable CTD, AXCP= Air Expendable Current Profiler, SLP = Sea Level atmospheric Pressure, SST= Seas Surface Temperature, A/C= aircraft, FSD= Floe Size Distribution, SIC=Sea Ice Concentration

  5. The International Arctic Buoy Programme (IABP): A Cornerstone of the Arctic Observing Network

    DTIC Science & Technology

    2008-09-01

    SEP 2008 2. REPORT TYPE 3. DATES COVERED 00-00-2008 to 00-00-2008 4. TITLE AND SUBTITLE The International Arctic Buoy Programme ( IABP ): A...Prescribed by ANSI Std Z39-18 The International Arctic Buoy Programme ( IABP ): A Cornerstone of the Arctic Observing Network Ignatius G. Rigor...changes in weather, climate and environment. It should be noted that many of these changes were first observed and studied using data from the IABP (http

  6. Drogue performance evaluation. Part 1: Data acquisition. [for accurate description of subsurface water circulation

    NASA Technical Reports Server (NTRS)

    Johnson, R. E.

    1975-01-01

    Surface buoy/subsurface drogue drag coupling was investigated. Data acquisition methods and techniques derived from several experimental cruises on the Chesapeake Bay are presented. Four buoys were utilized: three coupled to steel plates rigidly attached to each other at right angles and at various depths; and one spar type that did not require drag plates. Data from these surface floats and the drogue depth combinations were processed. Errors in tracking the surface buoys are discussed.

  7. A Steady State and Dynamic Analysis of a Mooring System.

    DTIC Science & Technology

    1977-03-25

    drag on subsurface buoy Dx«, »y«» Dzs Cable drag eoaponants in esble coordinates *A Distance between calculated location and actual loca- tion of...ship Be Modulus of elasticity of esble fh Highest natural frequency of systea 0 Horizontal distance between snshor and ship -- MUIIM—laSHS...TQD Tension in esble fron ahlp st subsurface buoy TBB Tension in cable fron anchor at aubaurfaea buoy Ty" Tension In n’th esble segaent Hif|l

  8. Telemetry link for an automatic salmon migration monitor

    NASA Technical Reports Server (NTRS)

    Baldwin, H. A.; Freyman, R. W.

    1973-01-01

    The antenna and transmitter described in this report were designed for integration into the remote acoustic assessment system for detection of sockeye salmon in the Bristol Bay region of the Bering Sea. The assessment system configuration consists of an upward directed sonar buoy anchored 150 ft below the surface and attached by cable to a spar buoy tethered some 300 ft laterally. The spar buoy contains a telemetry transmitter, power supply, data processing electronics, an antenna and a beacon light.

  9. Downwelling radiation at the sea surface in the central Mediterranean: one year of shortwave and longwave irradiance measurements on the Lampedusa buoy

    NASA Astrophysics Data System (ADS)

    di Sarra, Alcide; Bommarito, Carlo; Anello, Fabrizio; Di Iorio, Tatiana; Meloni, Daniela; Monteleone, Francesco; Pace, Giandomenico; Piacentino, Salvatore; Sferlazzo, Damiano

    2017-04-01

    An oceanographic buoy has been developed and deployed in August 2015 about 3.3 miles South West of the island of Lampedusa, at 35.49°N, 12.47°E, in the central Mediterranean Sea. The buoy was developed within the Italian RITMARE flagship project, and contributes to the Italian fixed-point oceanographic observation network. The buoy is an elastic beacon type and is intended to study air-sea interactions, propagation of radiation underwater, and oceanographic properties. The buoy measurements complement the atmospheric observations carried out at the long-term Station for Climate Observations on the island of Lampedusa (www.lampedusa.enea.it; 35.52°N, 12.63°E), which is located about 15 km E-NE of the buoy. Underwater instruments and part of the atmospheric sensors are presently being installed on the buoy. Measurements of downwelling shortwave, SW, and longwave, LW, irradiance, have been made since September 2015 with a Kipp and Zonen CMP21 pyranometer and a Kipp and Zonen CGR4 pyrgeometer, respectively. The radiometers are mounted on a small platform at about 7 m above sea level, on an arm protruding southward of the buoy. High time resolution data, at 1 Hz, have been acquired since December 2015, together with the sensors' attitude. Data from the period December 2015-December 2016 are analyzed and compared with measurements made on land at the Station for Climate Observations at 50 m above mean sea level. This study aims at deriving high quality determinations of the downwelling radiation over sea in the central Mediterranean. The following aspects will be discussed: - representativeness of time averaging of irradiance measurements over moving platforms; - comparison of downwelling irradiance measurements made over land and over ocean, and identification of possible correction strategies to infer irradiances over the ocean from close by measurements made over land; - influence of dome cleaning on the quality of measurements; - envisaging possible corrections strategies for varying radiometers' attitude.

  10. An improvement of the GPS buoy system for detecting tsunami at far offshore

    NASA Astrophysics Data System (ADS)

    Kato, T.; Terada, Y.; Nagai, T.; Kawaguchi, K.; Koshimura, S.; Matsushita, Y.

    2012-12-01

    We have developed a GPS buoy system for detecting a tsunami before its arrival at coasts and thereby mitigating tsunami disaster. The system was first deployed in 1997 for a short period in the Sagami bay, south of Tokyo, for basic experiments, and then deployed off Ofunato city, northeastern part of Japan, for the period 2001-2004. The system was then established at about 13km south of Cape Muroto, southwestern part of Japan, since 2004. Five tsunamis of about 10cm have been observed in these systems, including 2001 Peru earthquake (Mw8.3), 2003 Tokachi-oki earthquake (Mw8.3), 2004 Off Kii Peninsula earthquake (Mw7.4), 2010 Chile earthquake (Mw8.8), and 2011 Tohoku-Oki earthquake (Mw9.0). These experiments clearly showed that GPS buoy is capable of detecting tsunami with a few centimeter accuracy and can be monitored in near real time by applying an appropriate filter, real-time data transmission using radio and dissemination of obtained records of sea surface height changes through internet. Considering that the system is a powerful tool to monitor sea surface variations due to wind as well as tsunami, the Ministry of Land, Infrastructure, Transport and Tourism implemented the system in a part of the Nationwide Ocean Wave information network for Ports and HArbourS (NOWPHAS) system and deployed the system at 15 sites along the coasts around the Japanese Islands. The system detected the tsunami due to the 11th March 2011 Tohoku-Oki earthquake with higher than 6m of tsunami height at the site Off South Iwate (Kamaishi). The Japan Meteorological Agency that was monitoring the record updated the level of the tsunami warning to the greatest value due to the result. Currently, the GPS buoy system uses a RTK-GPS which requires a land base for obtaining precise location of the buoy by a baseline analysis. This algorithm limits the distance of the buoy to, at most, 20km from the coast as the accuracy of positioning gets much worse as the baseline distance becomes longer than 20km. This limits the lead time for letting coastal residents to evacuate from the coast only about 10 minutes after the detection of tsunami at a GPS buoy. This requires us to improve the system to put the buoy much farther from the coast. In order to solve this problem, we have introduced a new algorithm of precise point positioning with ambiguity resolution (PPP-AR) method and point precise variance detection (PVD) method for estimating the precise location of the buoy. As these method does not require land base station, it may allow us to deploy a buoy much farther than 100km offshore observation. Also, an open source program package (RTKLIB) is introduced for kinematic analysis for a long baseline. A new experiment using this system has started about 40km south off Cape Muroto in April 2012. One of buoys called as "Kuroshio Bokujo", which is used as a fish bed by Kochi Prefecture, is used for this purpose. The positioning results are exhibited in real time on the internet.

  11. 46 CFR 160.050-4 - Construction and workmanship.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... Plastic § 160.050-4 Construction and workmanship. (a) General. This specification covers ring life buoys... the buoy with a suitable waterproof adhesive which is compatible with the unicellular plastic used in...

  12. Earth resources technology satellite /ERTS/ data collection and transmission buoys for inland, neritic and oceanic waters

    NASA Technical Reports Server (NTRS)

    Chapman, W. S.; Yen, H. H.

    1974-01-01

    As a result of a consortium of several industries and organizations, an economical, versatile, and stable data collection and transmission buoy has been designed, developed, and deployed to gather and transmit water quality data to a ground receiving station at three-minute intervals and to the earth resources technology satellite (ERTS) as it passes over the deployed buoy every 12 hours. The buoy system, designed for both fresh and salt water application, gathers data inclusive of temperature measurement, conductivity, relative acidity, dissolved oxygen, current speed, and direction. The mechanical design philosophy used to determine and satisfy boundary conditions involving stability, ease of deployment, servicing and maintenance, minimal manufacturing costs, and fresh and salt water installation capability is discussed. The development of peripheral handling equipment and anchoring systems is described.

  13. Investigation of the relationship between hurricane waves and extreme runup

    NASA Astrophysics Data System (ADS)

    Thompson, D. M.; Stockdon, H. F.

    2006-12-01

    In addition to storm surge, the elevation of wave-induced runup plays a significant role in forcing geomorphic change during extreme storms. Empirical formulations for extreme runup, defined as the 2% exceedence level, are dependent on some measure of significant offshore wave height. Accurate prediction of extreme runup, particularly during hurricanes when wave heights are large, depends on selecting the most appropriate measure of wave height that provides energy to the nearshore system. Using measurements from deep-water wave buoys results in an overprediction of runup elevation. Under storm forcing these large waves dissipate across the shelf through friction, whitecapping and depth-limited breaking before reaching the beach and forcing swash processes. The use of a local, shallow water wave height has been shown to provide a more accurate estimate of extreme runup elevation (Stockdon, et. al. 2006); however, a specific definition of this local wave height has yet to be defined. Using observations of nearshore waves from the U.S. Army Corps of Engineers' Field Research Facility (FRF) in Duck, NC during Hurricane Isabel, the most relevant measure of wave height for use in empirical runup parameterizations was examined. Spatial and temporal variability of the hurricane wave field, which made landfall on September 18, 2003, were modeled using SWAN. Comparisons with wave data from FRF gages and deep-water buoys operated by NOAA's National Data Buoy Center were used for model calibration. Various measures of local wave height (breaking, dissipation-based, etc.) were extracted from the model domain and used as input to the runup parameterizations. Video based observations of runup collected at the FRF during the storm were used to ground truth modeled values. Assessment of the most appropriate measure of wave height can be extended over a large area through comparisons to observations of storm- induced geomorphic change.

  14. Real-Time Seismic Data from the Bottom Sea

    PubMed Central

    Roset, Xavier; Trullols, Enric; Artero-Delgado, Carola; Prat, Joana; Massana, Immaculada; Carbonell, Montserrat; Barco de la Torre, Jaime; Toma, Daniel Mihai

    2018-01-01

    An anchored marine seismometer, acquiring real-time seismic data, has been built and tested. The system consists of an underwater seismometer, a surface buoy, and a mooring line that connects them. Inductive communication through the mooring line provides an inexpensive, reliable, and flexible solution. Prior to the deployment the dynamics of the system have been simulated numerically in order to find optimal materials, cables, buoys, and connections under critical marine conditions. The seismometer used is a high sensitivity triaxial broadband geophone able to measure low vibrational signals produced by the underwater seismic events. The power to operate the surface buoy is provided by solar panels. Additional batteries are needed for the underwater unit. In this paper we also present the first results and an earthquake detection of a prototype system that demonstrates the feasibility of this concept. The seismometer transmits continuous data at a rate of 1000 bps to a controller equipped with a radio link in the surface buoy. A GPS receiver on the surface buoy has been configured to perform accurate timestamps on the seismic data, which makes it possible to integrate the seismic data from these marine seismometers into the existing seismic network. PMID:29642479

  15. Real-Time Seismic Data from the Bottom Sea.

    PubMed

    Roset, Xavier; Trullols, Enric; Artero-Delgado, Carola; Prat, Joana; Del Río, Joaquin; Massana, Immaculada; Carbonell, Montserrat; Barco de la Torre, Jaime; Toma, Daniel Mihai

    2018-04-08

    An anchored marine seismometer, acquiring real-time seismic data, has been built and tested. The system consists of an underwater seismometer, a surface buoy, and a mooring line that connects them. Inductive communication through the mooring line provides an inexpensive, reliable, and flexible solution. Prior to the deployment the dynamics of the system have been simulated numerically in order to find optimal materials, cables, buoys, and connections under critical marine conditions. The seismometer used is a high sensitivity triaxial broadband geophone able to measure low vibrational signals produced by the underwater seismic events. The power to operate the surface buoy is provided by solar panels. Additional batteries are needed for the underwater unit. In this paper we also present the first results and an earthquake detection of a prototype system that demonstrates the feasibility of this concept. The seismometer transmits continuous data at a rate of 1000 bps to a controller equipped with a radio link in the surface buoy. A GPS receiver on the surface buoy has been configured to perform accurate timestamps on the seismic data, which makes it possible to integrate the seismic data from these marine seismometers into the existing seismic network.

  16. GPS water level measurements for Indonesia's Tsunami Early Warning System

    NASA Astrophysics Data System (ADS)

    Schöne, T.; Pandoe, W.; Mudita, I.; Roemer, S.; Illigner, J.; Zech, C.; Galas, R.

    2011-03-01

    On Boxing Day 2004, a severe tsunami was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure tsunami waves, nor a system to disseminate tsunami warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of Tsunamis (DART) buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore tsunami detection in Indonesia has been advanced by adding GPS technology for water level measurements. The usage of GPS buoys in tsunami warning systems is a relatively new approach. The concept of the German Indonesian Tsunami Early Warning System (GITEWS) (Rudloff et al., 2009) combines GPS technology and ocean bottom pressure (OBP) measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information. The GPS buoy technology is precise enough to detect medium to large tsunamis of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, tsunamis larger than 5 cm may be detectable.

  17. A maximum power point tracking algorithm for buoy-rope-drum wave energy converters

    NASA Astrophysics Data System (ADS)

    Wang, J. Q.; Zhang, X. C.; Zhou, Y.; Cui, Z. C.; Zhu, L. S.

    2016-08-01

    The maximum power point tracking control is the key link to improve the energy conversion efficiency of wave energy converters (WEC). This paper presents a novel variable step size Perturb and Observe maximum power point tracking algorithm with a power classification standard for control of a buoy-rope-drum WEC. The algorithm and simulation model of the buoy-rope-drum WEC are presented in details, as well as simulation experiment results. The results show that the algorithm tracks the maximum power point of the WEC fast and accurately.

  18. A Buoy for Continuous Monitoring of Suspended Sediment Dynamics

    PubMed Central

    Mueller, Philip; Thoss, Heiko; Kaempf, Lucas; Güntner, Andreas

    2013-01-01

    Knowledge of Suspended Sediments Dynamics (SSD) across spatial scales is relevant for several fields of hydrology, such as eco-hydrological processes, the operation of hydrotechnical facilities and research on varved lake sediments as geoarchives. Understanding the connectivity of sediment flux between source areas in a catchment and sink areas in lakes or reservoirs is of primary importance to these fields. Lacustrine sediments may serve as a valuable expansion of instrumental hydrological records for flood frequencies and magnitudes, but depositional processes and detrital layer formation in lakes are not yet fully understood. This study presents a novel buoy system designed to continuously measure suspended sediment concentration and relevant boundary conditions at a high spatial and temporal resolution in surface water bodies. The buoy sensors continuously record turbidity as an indirect measure of suspended sediment concentrations, water temperature and electrical conductivity at up to nine different water depths. Acoustic Doppler current meters and profilers measure current velocities along a vertical profile from the water surface to the lake bottom. Meteorological sensors capture the atmospheric boundary conditions as main drivers of lake dynamics. It is the high spatial resolution of multi-point turbidity measurements, the dual-sensor velocity measurements and the temporally synchronous recording of all sensors along the water column that sets the system apart from existing buoy systems. Buoy data collected during a 4-month field campaign in Lake Mondsee demonstrate the potential and effectiveness of the system in monitoring suspended sediment dynamics. Observations were related to stratification and mixing processes in the lake and increased turbidity close to a catchment outlet during flood events. The rugged buoy design assures continuous operation in terms of stability, energy management and sensor logging throughout the study period. We conclude that the buoy is a suitable tool for continuous monitoring of suspended sediment concentrations and general dynamics in fresh water bodies. PMID:24129017

  19. “Open Hatch” Tour of Offshore Wind Buoy

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Zayas, Jose

    2015-09-18

    Wind and Water Power Technologies Office Director, Jose Zayas gives a behind the scenes tour of the AXYS WindSentinel research buoy, which uses high-tech instruments to measure conditions for potential offshore wind energy development.

  20. Storm wave buoy equipped with micromechanical inertial unit: Results of development and testing

    NASA Astrophysics Data System (ADS)

    Gryazin, D. G.; Staroselcev, L. P.; Belova, O. O.; Gleb, K. A.

    2017-07-01

    The article describes the results of developing a wave buoy to measure the statistical characteristics of waves and the characteristics of directional spectra of three-dimensional waves. The device is designed for long-term measurements lasting up to a season, which can help solve problems in forecasting waves and preventing emergencies from wave impact on offshore platforms, hydraulic structures, and other marine facilities. The measuring unit involves triads of micromechanical gyroscopes, accelerometers, and a three-component magnetometer. A description of the device, results of laboratory research of its characteristics, and bench and full-scale tests are offered. It is noted that to assess the performance characteristics, comparative tests of the Storm wave buoy were conducted with a standard string wave probe installed on an offshore platform. It is shown that the characteristics and capabilities of the wave buoy make it possible to oust foreign devices from the domestic market.

  1. Outfall siting with dye-buoy remote sensing of coastal circulation

    NASA Technical Reports Server (NTRS)

    Munday, J. C., Jr.; Welch, C. S.; Gordon, H. H.

    1978-01-01

    A dye-buoy remote sensing technique has been applied to estuarine siting problems that involve fine-scale circulation. Small hard cakes of sodium fluorescein and polyvinyl alcohol, in anchored buoys and low-windage current followers, dissolve to produce dye marks resolvable in 1:60,000 scale color and color infrared imagery. Lagrangian current vectors are determined from sequential photo coverage. Careful buoy placement reveals surface currents and submergence near fronts and convergence zones. The technique has been used in siting two sewage outfalls in Hampton Roads, Virginia: In case one, the outfall region during flood tide gathered floating materials in a convergence zone, which then acted as a secondary source during ebb; for better dispersion during ebb, the proposed outfall site was moved further offshore. In case two, flow during late flood was found to divide, with one half passing over shellfish beds; the proposed outfall site was consequently moved to keep effluent in the other half.

  2. The potential of high-frequency profiling to assess vertical and seasonal patterns of phytoplankton dynamics in lakes: An extension of the Plankton Ecology Group (PEG) model

    USGS Publications Warehouse

    Brentrup, Jennifer A.; Williamson, Craig E.; Colom-Montero, William; Eckert, Werner; de Eyto, Elvira; Grossart, Hans-Peter; Huot, Yannick; Isles, Peter D. F.; Knoll, Lesley B.; Leach, Taylor H.; McBride, Christopher G.; Pierson, Don; Pomati, Francesco; Read, Jordan S.; Rose, Kevin C.; Samal, Nihar R.; Staehr, Peter A.; Winslow, Luke A.

    2016-01-01

    The use of high-frequency sensors on profiling buoys to investigate physical, chemical, and biological processes in lakes is increasing rapidly. Profiling buoys with automated winches and sensors that collect high-frequency chlorophyll fluorescence (ChlF) profiles in 11 lakes in the Global Lake Ecological Observatory Network (GLEON) allowed the study of the vertical and temporal distribution of ChlF, including the formation of subsurface chlorophyll maxima (SSCM). The effectiveness of 3 methods for sampling phytoplankton distributions in lakes, including (1) manual profiles, (2) single-depth buoys, and (3) profiling buoys were assessed. High-frequency ChlF surface data and profiles were compared to predictions from the Plankton Ecology Group (PEG) model. The depth-integrated ChlF dynamics measured by the profiling buoy data revealed a greater complexity that neither conventional sampling nor the generalized PEG model captured. Conventional sampling techniques would have missed SSCM in 7 of 11 study lakes. Although surface-only ChlF data underestimated average water column ChlF, at times by nearly 2-fold in 4 of the lakes, overall there was a remarkable similarity between surface and mean water column data. Contrary to the PEG model’s proposed negligible role for physical control of phytoplankton during the growing season, thermal structure and light availability were closely associated with ChlF seasonal depth distribution. Thus, an extension of the PEG model is proposed, with a new conceptual framework that explicitly includes physical metrics to better predict SSCM formation in lakes and highlight when profiling buoys are especially informative.

  3. Development of real-time mobile-buoy observation system for tsunami and crustal movement

    NASA Astrophysics Data System (ADS)

    Takahashi, N.; Ishihara, Y.; Fukuda, T.; Tahara, J.; Ochi, H.; Mori, T.; Deguchi, M.; Kido, M.; Ohta, Y.; Hino, R.; Mutoh, K.; Hashimoto, G.; Motohashi, O.; Kaneda, Y.

    2014-12-01

    We have developed real-time buoy system for tsunami and crustal movement since 2012. Our motivations are needs of the crustal movement data of not only for vertical component but horizontal, real-time data transmission for future prediction of the next large earthquake, and needs of relatively easily system comparing with the seafloor cable network system. Therefore, we are developing the above system using a buoy system, considering long term observation of approximately two years. Our system's characteristics are real-time observation, separation between tsunami and crustal movement, mobility, and environmental compatibility. Tsunami and crustal movement data are sent with intervals of an hour and a week respectively in real-time, and we can also get them on-demand via satellite transmission from the land station. We are going to observe tsunami using a pressure sensor and a PPP (precise point positioning) navigation system on the buoy, therefore, tsunami and vertical crustal deformation are separated in real-time. And the horizontal component of the crustal deformation is also measured by acoustic signals between the buoy and six seafloor transponders. Our system can be used under severe strong sea current with a speed of 5.5 knots due to adaption of slack mooring. Therefore, we can deploy it without consideration of sea current. In addition, the geometry including the size of the buoy, lengths of some ropes, and capacity of the electric battery and so on is tuned considering an environment of deployment location. Through twice sea trials, we are confirming each function. In this presentation, we introduce the outline and results of the sea trials.

  4. 77 FR 20295 - United States Navy Restricted Area, Menominee River, Marinette Marine Corporation Shipyard...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-04-04

    ... to the point of origin. The restricted area will be marked by a lighted and signed floating buoy line... a signed floating buoy line without permission from the Supervisor of Shipbuilding, Conversion and...

  5. Ice-tethered measurement platforms in the Arctic Ocean: a contribution by the FRAM infrastructure program

    NASA Astrophysics Data System (ADS)

    Hoppmann, Mario; Nicolaus, Marcel; Rabe, Benjamin; Wenzhöfer, Frank; Katlein, Christian; Scholz, Daniel

    2016-04-01

    The Arctic Ocean has been in the focus of many studies during recent years, investigating the state, the causes and the implications of the observed rapid transition towards a thinner and younger sea-ice cover. However, consistent observational datasets of sea ice, ocean and atmosphere are still sparse due to the limited accessibility and harsh environmental conditions. One important tool to fill this gap has become more and more feasible during recent years: autonomous, ice-tethered measurement platforms (buoys). These drifting instruments independently transmit their data via satellites, and enable observations over larger areas and over longer time periods than manned expeditions, even throughout the winter. One aim of the newly established FRAM (FRontiers in Arctic marine Monitoring) infrastructure program at the Alfred-Wegener-Institute is to realize and maintain an interdisciplinary network of buoys in the Arctic Ocean, contributing to an integrated, Arctic-wide observatory. The additional buoy infrastructure, ship-time, and developments provided by FRAM are critical elements in the ongoing international effort to fill the large data gaps in a rapidly changing Arctic Ocean. Our focus is the particularly underrepresented Eurasian Basin. Types of instruments range from snow depth beacons and ice mass balance buoys for monitoring ice growth and snow accumulation, over radiation and weather stations for energy budget estimates, to ice-tethered profiling systems for upper ocean monitoring. Further, development of new bio-optical and biogeochemical buoys is expected to enhance our understanding of bio-physical processes associated with Arctic sea ice. The first set of FRAM buoys was deployed in September 2015 from RV Polarstern. All datasets are publicly available on dedicated web portals. Near real time data are reported into international initiatives, such as the Global Telecommunication System (GTS) and the International Arctic Buoy Programme (IABP). The additional data acquired by FRAM buoys facilitate the validation of model results and remote sensing products, play an important role in understanding the linkages between the atmosphere, sea ice and upper ocean, and help assess the physical, biological and biogeochemical states of the future Arctic Ocean. Here we present our recent work and future plans, but are also aiming for additional collaborations, especially on technical developments, scientific questions and deployment logistics.

  6. Moball-Buoy Network: A Near-Real-Time Ground-Truth Distributed Monitoring System to Map Ice, Weather, Chemical Species, and Radiations, in the Arctic

    NASA Astrophysics Data System (ADS)

    Davoodi, F.; Shahabi, C.; Burdick, J.; Rais-Zadeh, M.; Menemenlis, D.

    2014-12-01

    The work had been funded by NASA HQ's office of Cryospheric Sciences Program. Recent observations of the Arctic have shown that sea ice has diminished drastically, consequently impacting the environment in the Arctic and beyond. Certain factors such as atmospheric anomalies, wind forces, temperature increase, and change in the distribution of cold and warm waters contribute to the sea ice reduction. However current measurement capabilities lack the accuracy, temporal sampling, and spatial coverage required to effectively quantify each contributing factor and to identify other missing factors. Addressing the need for new measurement capabilities for the new Arctic regime, we propose a game-changing in-situ Arctic-wide Distributed Mobile Monitoring system called Moball-buoy Network. Moball-buoy Network consists of a number of wind-propelled self-powered inflatable spheres referred to as Moball-buoys. The Moball-buoys are self-powered. They use their novel mechanical control and energy harvesting system to use the abundance of wind in the Arctic for their controlled mobility and energy harvesting. They are equipped with an array of low-power low-mass sensors and micro devices able to measure a wide range of environmental factors such as the ice conditions, chemical species wind vector patterns, cloud coverage, air temperature and pressure, electromagnetic fields, surface and subsurface water conditions, short- and long-wave radiations, bathymetry, and anthropogenic factors such as pollutions. The stop-and-go motion capability, using their novel mechanics, and the heads up cooperation control strategy at the core of the proposed distributed system enable the sensor network to be reconfigured dynamically according to the priority of the parameters to be monitored. The large number of Moball-buoys with their ground-based, sea-based, satellite and peer-to-peer communication capabilities would constitute a wireless mesh network that provides an interface for a global control system. This control system will ensure arctic-wide coverage, will optimize Moball-buoys monitoring efforts according to their available resources and the priority of local areas of high scientific value within the Arctic region. Moball-buoy Network is expected to be the first robust and persistent Arctic-wide environment monitoring system capable of providing reliable readings in near real time

  7. 33 CFR 62.35 - Mooring buoys.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ....35 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.35 Mooring buoys. Mooring... identification and to avoid confusion with aids to navigation. ...

  8. 33 CFR 62.35 - Mooring buoys.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ....35 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.35 Mooring buoys. Mooring... identification and to avoid confusion with aids to navigation. ...

  9. 33 CFR 62.35 - Mooring buoys.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ....35 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.35 Mooring buoys. Mooring... identification and to avoid confusion with aids to navigation. ...

  10. 33 CFR 62.35 - Mooring buoys.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ....35 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.35 Mooring buoys. Mooring... identification and to avoid confusion with aids to navigation. ...

  11. “Open Hatch” Tour of Offshore Wind Buoy

    ScienceCinema

    Zayas, Jose

    2018-01-16

    Wind and Water Power Technologies Office Director, Jose Zayas gives a behind the scenes tour of the AXYS WindSentinel research buoy, which uses high-tech instruments to measure conditions for potential offshore wind energy development.

  12. 33 CFR 62.35 - Mooring buoys.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ....35 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY AIDS TO NAVIGATION UNITED STATES AIDS TO NAVIGATION SYSTEM The U.S. Aids to Navigation System § 62.35 Mooring buoys. Mooring... identification and to avoid confusion with aids to navigation. ...

  13. The winds of the comparison data set for the Seasat Gulf of Alaska Experiment

    NASA Technical Reports Server (NTRS)

    Pierson, W. J.; Peteherych, S.; Wilkerson, J. C.

    1980-01-01

    Ship and data buoy winds used for comparison in the validation of Seasat-derived winds are described in terms of the time series of hourly wind observations from the buoys and in terms of the techniques used to produce 20- and 30-min average winds from the ships. Attention is given to the comparison data, the synoptic scale wind, turbulence concepts, the data buoy winds, Ocean Weather Station PAPA, the oceanographer data, and the results from Ocean Station PAPA Ship Quadra and from the oceanographer. Sources of scatter in the comparison data are reviewed.

  14. Tsunami Source Inversion Using Tide Gauge and DART Tsunami Waveforms of the 2017 Mw8.2 Mexico Earthquake

    NASA Astrophysics Data System (ADS)

    Adriano, Bruno; Fujii, Yushiro; Koshimura, Shunichi; Mas, Erick; Ruiz-Angulo, Angel; Estrada, Miguel

    2018-01-01

    On September 8, 2017 (UTC), a normal-fault earthquake occurred 87 km off the southeast coast of Mexico. This earthquake generated a tsunami that was recorded at coastal tide gauge and offshore buoy stations. First, we conducted a numerical tsunami simulation using a single-fault model to understand the tsunami characteristics near the rupture area, focusing on the nearby tide gauge stations. Second, the tsunami source of this event was estimated from inversion of tsunami waveforms recorded at six coastal stations and three buoys located in the deep ocean. Using the aftershock distribution within 1 day following the main shock, the fault plane orientation had a northeast dip direction (strike = 320°, dip = 77°, and rake =-92°). The results of the tsunami waveform inversion revealed that the fault area was 240 km × 90 km in size with most of the largest slip occurring on the middle and deepest segments of the fault. The maximum slip was 6.03 m from a 30 × 30 km2 segment that was 64.82 km deep at the center of the fault area. The estimated slip distribution showed that the main asperity was at the center of the fault area. The second asperity with an average slip of 5.5 m was found on the northwest-most segments. The estimated slip distribution yielded a seismic moment of 2.9 × 10^{21} Nm (Mw = 8.24), which was calculated assuming an average rigidity of 7× 10^{10} N/m2.

  15. Wave Power Demonstration Project at Reedsport, Oregon

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Mekhiche, Mike; Downie, Bruce

    2013-10-21

    Ocean wave power can be a significant source of large‐scale, renewable energy for the US electrical grid. The Electrical Power Research Institute (EPRI) conservatively estimated that 20% of all US electricity could be generated by wave energy. Ocean Power Technologies, Inc. (OPT), with funding from private sources and the US Navy, developed the PowerBuoy to generate renewable energy from the readily available power in ocean waves. OPT's PowerBuoy converts the energy in ocean waves to electricity using the rise and fall of waves to move the buoy up and down (mechanical stroking) which drives an electric generator. This electricity ismore » then conditioned and transmitted ashore as high‐voltage power via underwater cable. OPT's wave power generation system includes sophisticated techniques to automatically tune the system for efficient conversion of random wave energy into low cost green electricity, for disconnecting the system in large waves for hardware safety and protection, and for automatically restoring operation when wave conditions normalize. As the first utility scale wave power project in the US, the Wave Power Demonstration Project at Reedsport, OR, will consist of 10 PowerBuoys located 2.5 miles off the coast. This U.S. Department of Energy Grant funding along with funding from PNGC Power, an Oregon‐based electric power cooperative, was utilized for the design completion, fabrication, assembly and factory testing of the first PowerBuoy for the Reedsport project. At this time, the design and fabrication of this first PowerBuoy and factory testing of the power take‐off subsystem are complete; additionally the power take‐off subsystem has been successfully integrated into the spar.« less

  16. Dynamic analysis of propulsion mechanism directly driven by wave energy for marine mobile buoy

    NASA Astrophysics Data System (ADS)

    Yu, Zhenjiang; Zheng, Zhongqiang; Yang, Xiaoguang; Chang, Zongyu

    2016-07-01

    Marine mobile buoy(MMB) have many potential applications in the maritime industry and ocean science. Great progress has been made, however the technology in this area is far from maturity in theory and faced with many difficulties in application. A dynamic model of the propulsion mechanism is very necessary for optimizing the parameters of the MMB, especially with consideration of hydrodynamic force. The principle of wave-driven propulsion mechanism is briefly introduced. To set a theory foundation for study on the MMB, a dynamic model of the propulsion mechanism of the MMB is obtained. The responses of the motion of the platform and the hydrofoil are obtained by using a numerical integration method to solve the ordinary differential equations. A simplified form of the motion equations is reached by omitting terms with high order small values. The relationship among the heave motion of the buoy, stiffness of the elastic components, and the forward speed can be obtained by using these simplified equations. The dynamic analysis show the following: The angle of displacement of foil is fairly small with the biggest value around 0.3 rad; The speed of mobile buoy and the angle of hydrofoil increased gradually with the increase of heave motion of buoy; The relationship among heaven motion, stiffness and attack angle is that heave motion leads to the angle change of foil whereas the item of speed or push function is determined by vertical velocity and angle, therefore, the heave motion and stiffness can affect the motion of buoy significantly if the size of hydrofoil is kept constant. The proposed model is provided to optimize the parameters of the MMB and a foundation is laid for improving the performance of the MMB.

  17. The VIMS CBOS Observing System Buoy, an Initial Scientific Analysis

    NASA Astrophysics Data System (ADS)

    Brasseur, L. H.; Brubaker, J. M.; Friedrichs, C. T.; Wright, L. D.

    2004-12-01

    The Virginia Institute of Marine Science (VIMS) has recently deployed a data buoy at Gloucester Point, York River, Virginia as part of the Chesapeake Bay Observing System (CBOS). The data streams collected by the buoy and its associated sensors are wind speed and direction, incoming solar radiation, air temperature, water temperature, salinity, turbidity, fluorescence, and dissolved oxygen. In addition, water velocities throughout the water column are recorded every 5 minutes and wave statistics including directional wave spectra are calculated every hour from an upward looking RD Instruments Acoustic Doppler Current Profiler (ADCP) in 8 meters of water in conjunction with the data buoy. All data are collected in real time and are available to scientists with a 15 minute to 1 hour time lag. These data are used in conjunction with other long tem data sets in the York River and lower Chesapeake Bay such as the Chesapeake Bay National Estuarine Research Reserve (CBNERR) sites' water quality data in the York River and USGS stream flow data to investigate several questions of scientific interest. One of these questions is the observed reverse salinity gradient in the York River during spring flood tides. It was previously thought that this was caused by a temporal mismatch in the phase of flood tide between the lower Chesapeake Bay and the mouth of the York River subestuary only during spring tides when the currents are strongest and the tidal range is large. In 2004, however, this effect can be seen during both spring and neap tides on several occasions in the spring and summer. This phenomenon and others are evaluated in the context of the VIMS observing system buoy and the initial data collected from the buoy are also evaluated in terms of instrument accuracy, ease of data retrieval, and possible uses for this information.

  18. 11. BUOY DECK, NEAR PILOT HOUSE SUPERSTRUCTURE, LOOKING TOWARDS HATCH ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    11. BUOY DECK, NEAR PILOT HOUSE SUPERSTRUCTURE, LOOKING TOWARDS HATCH DOOR INTO WINCH ROOM IN THE SUPERSTRUCTURE (LABELED AT PASSAGE & HYDRAULIC MACHINERY ON PLAN). - U.S. Coast Guard Cutter WHITE HEATH, USGS Integrated Support Command Boston, 427 Commercial Street, Boston, Suffolk County, MA

  19. Port Planning for Seagoing Buoy Tender (WLB) Attrition

    DOT National Transportation Integrated Search

    1988-07-01

    The Coast Guard operates a diverse complement of servicing vessels to service aids to navigation. Of these, the fleet of 28 WLB's (seagoing buoy tenders) is the largest and oldest. Over 40 years old, these vessels are well beyond the end of their eco...

  20. Tracking buoys research for oil spilling with the wireless charging equipment

    NASA Astrophysics Data System (ADS)

    Cui, Di; Zhao, Ping

    2018-03-01

    This paper describes thewirelesscharging equipment for achieving oil spill tracking buoys detection in satellite images acquired after tanker accidents or ship oil spill accidents. This information could allow the evolution of residues dumped at sea to be tracked. The validity of this process is demonstrated using several experiment acquired over several regions (Dalian and Tianjin coasts in China), in which a tanker accident has occurred and as a consequence oil spillage has taken place. Thus, this purpose of paper is developed for the active surveillance and rapid response to marine oil spills tracking buoys with wirelesscharging equipmentis important and essential to environment protection. It may appears of leak places for the Wire Charging Equipment for marine oil spills tracking buoys monitoring needs, and achieved instant alarm technology and equipment, guarantees leak occurred timely obtained alarm information. In order toproviding oil spill accidents emergency quickly reaction time and prepared. The maximum degree reduce oil leak and accidents caused influences are ensured.

  1. An intelligent subsurface buoy design for measuring ocean ambient noise

    NASA Astrophysics Data System (ADS)

    Li, Bing; Wang, Lei

    2012-11-01

    A type of ultra-low power subsurface buoy system is designed to measure and record ocean ambient noise data. The buoy utilizes a vector hydrophone (pass band 20Hz-1.2kHz) and a 6-element vertical hydrophone array (pass band 20Hz-2kHz) to measure ocean ambient noise. The acoustic signals are passed through an automatically modified gain, a band pass filter, and an analog-to-digital (A/D) conversion module. They are then stored in high-capacity flash memory. In order to identify the direction of noise source, the vector sensor measuring system has integrated an electric-magnetic compass. The system provides a low-rate underwater acoustic communication system which is used to report the buoy state information and a high-speed USB interface which is used to retrieve the recorded data on deck. The whole system weighs about 125kg and can operate autonomously for more than 72 hours. The system's main architecture and the sea-trial test results are provided in this paper.

  2. Lagrangian circulation study near Cape Henry, Virginia. [Chesapeake Bay

    NASA Technical Reports Server (NTRS)

    Johnson, R. E.

    1981-01-01

    A study of the circulation near Cape Henry, Virginia, was made using surface and seabed drifters and radar tracked surface buoys coupled to subsurface drag plates. Drifter releases were conducted on a line normal to the beach just south of Cape Henry. Surface drifter recoveries were few; wind effects were strongly noted. Seabed drifter recoveries all exhibited onshore motion into Chesapeake Bay. Strong winds also affected seabed recoveries, tending to move them farther before recovery. Buoy trajectories in the vicinity of Cape Henry appeared to be of an irrotational nature, showing a clockwise rotary tide motion. Nearest the cape, the buoy motion elongated to almost parallel depth contours around the cape. Buoy motion under the action of strong winds showed that currents to at least the depth of the drag plates substantially are altered from those of low wind conditions near the Bay mouth. Only partial evidence could be found to support the presence of a clockwise nontidal eddy at Virginia Beach, south of Cape Henry.

  3. Displaying Planetary and Geophysical Datasets on NOAAs Science On a Sphere (TM)

    NASA Astrophysics Data System (ADS)

    Albers, S. C.; MacDonald, A. E.; Himes, D.

    2005-12-01

    NOAAs Science On a Sphere(TM)(SOS)was developed to educate current and future generations about the changing Earth and its processes. This system presents NOAAs global science through a 3D representation of our planet as if the viewer were looking at the Earth from outer space. In our presentation, we will describe the preparation of various global datasets for display on Science On a Sphere(TM), a 1.7-m diameter spherical projection system developed and patented at the Forecast Systems Laboratory (FSL) in Boulder, Colorado. Four projectors cast rotating images onto a spherical projection screen to create the effect of Earth, planet, or satellite floating in space. A static dataset can be prepared for display using popular image formats such as JPEG, usually sized at 1024x2048 or 2048x4096 pixels. A set of static images in a directory will comprise a movie. Imagery and data for SOS are obtained from a variety of government organizations, sometimes post-processed by various individuals, including the authors. Some datasets are already available in the required cylindrical projection. Readily available planetary maps can often be improved in coverage and/or appearance by reprojecting and combining additional images and mosaics obtained by various spacecraft, such as Voyager, Galileo, and Cassini. A map of Mercury was produced by blending some Mariner 10 photo-mosaics with a USGS shaded-relief map. An improved high-resolution map of Venus was produced by combining several Magellan mosaics, supplied by The Planetary Society, along with other spacecraft data. We now have a full set of Jupiter's Galilean satellite imagery that we can display on Science On a Sphere(TM). Photo-mosaics of several Saturnian satellites were updated by reprojecting and overlaying recently taken Cassini flyby images. Maps of imagery from five Uranian satellites were added, as well as one for Neptune. More image processing was needed to add a high-resolution Voyager mosaic to a pre-existing map of Neptune's moon Triton. A map of the cosmic background radiation was produced that shows the early universe from an external perspective. Full details and credits for these maps may be viewed online at http://laps.fsl.noaa.gov/albers/sos/sos.html. Geophysical imagery recently added to SOS includes a real-time global infrared weather satellite animation of Earth. This is a 15-minute, quality controlled animation spanning the most recent month, which draws on a number of geosynchronous and polar-orbiting weather satellites for data. Other meteorological and oceanographic datasets can be displayed, such as animations depicting the three-dimensional drifting of the ARGO buoy network through the oceans. Oceanic buoy observations were overlaid on the "Blue Marble" Earth imagery displayed on Science On a Sphere(TM). A static image shows locations for five different global buoy networks. We also produced two movies that show the drift of >1000 ARGO buoys over a period of several months. The first movie shows only the horizontal buoy drift, and the second modulates the intensities to represent the timing of each buoy dive cycle. Animations in real time are also being produced for sea surface temperatures (and anomalies). These analyses are obtained from web displays provided by the DOD Fleet Numerical Operations Center. With advanced technologies, the possibilities are limitless for displaying additional global datasets on Science On a Sphere(TM) and other spherical projection screens.

  4. Counter-narcotic acoustic buoy (CNAB)

    NASA Astrophysics Data System (ADS)

    Bailey, Mark E.

    2004-09-01

    As a means to detect drug trafficking in a maritime environment, the Counter Narcotic Acoustic Buoy is part of an inexpensive system designed to detect "Go Fast" boats and report via satellite to a designated location. A go fast boat for this evaluation is defined as any boat with twin 200 horsepower outboard engines. The buoy is designed for deployment in salt water at depths ranging from 50 to 600 feet and can be easily deployed by one or two persons. Detections are based on noise energy exceeding a preset level within a frequency band associated with the go fast boat's acoustic signature. Detection ranges have been demonstrated to greater than three nautical miles.

  5. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Code of Federal Regulations, 2010 CFR

    2010-10-01

    ... satisfied that the ring life buoys meet this subpart. Each lot must demonstrate— (1) First quality... MATERIALS: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular... necessary to maintain quality control and to monitor compliance with the requirements of this subchapter. (b...

  6. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... satisfied that the ring life buoys meet this subpart. Each lot must demonstrate— (1) First quality... MATERIALS: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular... necessary to maintain quality control and to monitor compliance with the requirements of this subchapter. (b...

  7. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... satisfied that the ring life buoys meet this subpart. Each lot must demonstrate— (1) First quality... MATERIALS: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular... necessary to maintain quality control and to monitor compliance with the requirements of this subchapter. (b...

  8. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... satisfied that the ring life buoys meet this subpart. Each lot must demonstrate— (1) First quality... MATERIALS: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular... necessary to maintain quality control and to monitor compliance with the requirements of this subchapter. (b...

  9. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Code of Federal Regulations, 2011 CFR

    2011-10-01

    ... satisfied that the ring life buoys meet this subpart. Each lot must demonstrate— (1) First quality... MATERIALS: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular... necessary to maintain quality control and to monitor compliance with the requirements of this subchapter. (b...

  10. Challenges in Defining Tsunami Wave Heights

    NASA Astrophysics Data System (ADS)

    Dunbar, Paula; Mungov, George; Sweeney, Aaron; Stroker, Kelly; Arcos, Nicolas

    2017-08-01

    The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) and co-located World Data Service for Geophysics maintain the global tsunami archive consisting of the historical tsunami database, imagery, and raw and processed water level data. The historical tsunami database incorporates, where available, maximum wave heights for each coastal tide gauge and deep-ocean buoy that recorded a tsunami signal. These data are important because they are used for tsunami hazard assessment, model calibration, validation, and forecast and warning. There have been ongoing discussions in the tsunami community about the correct way to measure and report these wave heights. It is important to understand how these measurements might vary depending on how the data were processed and the definition of maximum wave height. On September 16, 2015, an 8.3 M w earthquake located 48 km west of Illapel, Chile generated a tsunami that was observed all over the Pacific region. We processed the time-series water level data for 57 coastal tide gauges that recorded this tsunami and compared the maximum wave heights determined from different definitions. We also compared the maximum wave heights from the NCEI-processed data with the heights reported by the NOAA Tsunami Warning Centers. We found that in the near field different methods of determining the maximum tsunami wave heights could result in large differences due to possible instrumental clipping. We also found that the maximum peak is usually larger than the maximum amplitude (½ peak-to-trough), but the differences for the majority of the stations were <20 cm. For this event, the maximum tsunami wave heights determined by either definition (maximum peak or amplitude) would have validated the forecasts issued by the NOAA Tsunami Warning Centers. Since there is currently only one field in the NCEI historical tsunami database to store the maximum tsunami wave height for each tide gauge and deep-ocean buoy, NCEI will consider adding an additional field for the maximum peak measurement.

  11. Simultaneous Ocean Wave Measurements by the Jason and Topex Satellites, With Buoy and Model Comparisons

    NASA Technical Reports Server (NTRS)

    Ray, Richard D.; Beckley, B. D.

    2003-01-01

    The verification phase of the Jason-1 satellite altimeter mission presents a unique opportunity for comparing near-simultaneous, independent satellite measurements. We here examine simultaneous significant wave height measurements by the Jason-1 and Topex/Poseidon altimeters. These data are also compared with in-situ measurements from deep-ocean buoys and with predicted wave heights from the Wave Watch 111 operational model. The rms difference between Jason and Topex wave heights is 21 cm, and this can be further lowered by application of median filters to reduce high-frequency noise. This noise is slightly larger in the Jason dataset, amounting to about 7 cm rms for frequencies above 0.05 Hz, which is the frequency at which the coherence between Topex and Jason measurements drops to zero. The probability density function for Jason shows a dearth of small waves relative to Topex. Buoy comparisons confirm that this problem lies with the Jason measurements. The buoy comparisons confirm previous reports that Topex wave heights are roughly 5% smaller than buoy measurements for waves between 2 and 5m; Jason heights in general are 2.7% smaller than Topex. Spurious dips in the Topex density function for 3- and 6-meter waves, a problem that has existed since the beginning of the mission, can be solved by waveform retracking..

  12. Design and first results of CytoBuoy: a wireless flow cytometer for in situ analysis of marine and fresh waters.

    PubMed

    Dubelaar, G B; Gerritzen, P L; Beeker, A E; Jonker, R R; Tangen, K

    1999-12-01

    The high costs of microscopical determination and counting of phytoplankton often limit sampling frequencies below an acceptable level for the monitoring of dynamic ecosystems. Although having a limited discrimination power, flow cytometry allows the analysis of large numbers of samples to a level that is sufficient for many basic monitoring jobs. For this purpose, flow cytometers should not be restricted to research laboratories. We report here on the development of an in situ flow cytometer for autonomous operation inside a small moored buoy or on other platforms. Operational specifications served a wide range of applications in the aquatic field. Specific conditions had to be met with respect to the operation platform and autonomy. A small, battery-operated flow cytometer resulted, requiring no external sheath fluid supply. Because it was designed to operate in a buoy, we call it CytoBuoy. Sampling, analysis, and radio transmission of the data proceed automatically at user-defined intervals. A powerful feature is the acquisition and radio transmission of full detector pulse shapes of each particle. This provides valuable morphological information for particles larger than the 5-microm laser focus. CytoBuoy allows on-line in situ particle analysis, estimation of phytoplankton biomass, and discrimination between different phytoplankton groups. This will increase the applicability of flow cytometry in the field of environmental monitoring. Copyright 1999 Wiley-Liss, Inc.

  13. High frequency monitoring of the coastal marine environment using the MAREL buoy.

    PubMed

    Blain, S; Guillou, J; Tréguer, P; Woerther, P; Delauney, L; Follenfant, E; Gontier, O; Hamon, M; Leilde, B; Masson, A; Tartu, C; Vuillemin, R

    2004-06-01

    The MAREL Iroise data buoy provides physico-chemical measurements acquired in surface marine water in continuous and autonomous mode. The water is pumped 1.5 m from below the surface through a sampling pipe and flows through the measuring cell located in the floating structure. Technological innovations implemented inside the measuring cell atop the buoy allow a continuous cleaning of the sensor, while injection of chloride ions into the circuit prevents biological fouling. Specific sensors for temperature, salinity, oxygen and fluorescence investigated in this paper have been evaluated to guarantee measurement precision over a 3 month period. A bi-directional link under Internet TCP-IP protocols is used for data, alarms and remote-control transmissions with the land-based data centre. Herein, we present a 29 month record for 4 parameters measured using a MAREL buoy moored in a coastal environment (Iroise Sea, Brest, France). The accuracy of the data provided by the buoy is assessed by comparison with measurements of sea water weekly sampled at the same site as part of SOMLIT (Service d'Observation du Milieu LIToral), the French network for monitoring of the coastal environment. Some particular events (impact of intensive fresh water discharges, dynamics of a fast phytoplankton bloom) are also presented, demonstrating the worth of monitoring a highly variable environment with a high frequency continuous reliable system.

  14. Numerical modeling of a spherical buoy moored by a cable in three dimensions

    NASA Astrophysics Data System (ADS)

    Zhu, Xiangqian; Yoo, Wan-Suk

    2016-05-01

    Floating facilities have been studied based on the static analysis of mooring cables over the past decades. To analyze the floating system of a spherical buoy moored by a cable with a higher accuracy than before, the dynamics of the cables are considered in the construction of the numerical modeling. The cable modeling is established based on a new element frame through which the hydrodynamic loads are expressed efficiently. The accuracy of the cable modeling is verified with an experiment that is conducted by a catenary chain moving in a water tank. In addition, the modeling of a spherical buoy is established with respect to a spherical coordinate in three dimensions, which can suffers the gravity, the variable buoyancy and Froude-Krylov loads. Finally, the numerical modeling for the system of a spherical buoy moored by a cable is established, and a virtual simulation is proceeded with the X- and Y-directional linear waves and the X-directional current. The comparison with the commercial simulation code ProteusDS indicates that the system is accurately analyzed by the numerical modeling. The tensions within the cable, the motions of the system, and the relationship between the motions and waves are illustrated according to the defined sea state. The dynamics of the cables should be considered in analyzing the floating system of a spherical buoy moored by a cable.

  15. Simple and effective method to lock buoy position to ocean currents

    NASA Technical Reports Server (NTRS)

    Vachon, W. A.; Dahlen, J. M.

    1975-01-01

    Window-shade drogue, used with drifting buoys to keep them moving with current at speed as close to that of current as possible, has drag coefficient of 1.93 compared to maximum of 1.52 for previous drogues. It is remarkably simple to construct, use, and store.

  16. Study of the air-sea interactions at the mesoscale: the SEMAPHORE experiment

    NASA Astrophysics Data System (ADS)

    Eymard, L.; Planton, S.; Durand, P.; Le Visage, C.; Le Traon, P. Y.; Prieur, L.; Weill, A.; Hauser, D.; Rolland, J.; Pelon, J.; Baudin, F.; Bénech, B.; Brenguier, J. L.; Caniaux, G.; de Mey, P.; Dombrowski, E.; Druilhet, A.; Dupuis, H.; Ferret, B.; Flamant, C.; Flamant, P.; Hernandez, F.; Jourdan, D.; Katsaros, K.; Lambert, D.; Lefèvre, J. M.; Le Borgne, P.; Le Squere, B.; Marsoin, A.; Roquet, H.; Tournadre, J.; Trouillet, V.; Tychensky, A.; Zakardjian, B.

    1996-09-01

    The SEMAPHORE (Structure des Echanges Mer-Atmosphère, Propriétés des Hétérogénéités Océaniques: Recherche Expérimentale) experiment has been conducted from June to November 1993 in the Northeast Atlantic between the Azores and Madeira. It was centered on the study of the mesoscale ocean circulation and air-sea interactions. The experimental investigation was achieved at the mesoscale using moorings, floats, and ship hydrological survey, and at a smaller scale by one dedicated ship, two instrumented aircraft, and surface drifting buoys, for one and a half month in October-November (IOP: intense observing period). Observations from meteorological operational satellites as well as spaceborne microwave sensors were used in complement. The main studies undertaken concern the mesoscale ocean, the upper ocean, the atmospheric boundary layer, and the sea surface, and first results are presented for the various topics. From data analysis and model simulations, the main characteristics of the ocean circulation were deduced, showing the close relationship between the Azores front meander and the occurrence of Mediterranean water lenses (meddies), and the shift between the Azores current frontal signature at the surface and within the thermocline. Using drifting buoys and ship data in the upper ocean, the gap between the scales of the atmospheric forcing and the oceanic variability was made evident. A 2 °C decrease and a 40-m deepening of the mixed layer were measured within the IOP, associated with a heating loss of about 100 W m-2. This evolution was shown to be strongly connected to the occurrence of storms at the beginning and the end of October. Above the surface, turbulent measurements from ship and aircraft were analyzed across the surface thermal front, showing a 30% difference in heat fluxes between both sides during a 4-day period, and the respective contributions of the wind and the surface temperature were evaluated. The classical momentum flux bulk parameterization was found to fail in low wind and unstable conditions. Finally, the sea surface was investigated using airborne and satellite radars and wave buoys. A wave model, operationally used, was found to get better results compared with radar and wave-buoy measurements, when initialized using an improved wind field, obtained by assimilating satellite and buoy wind data in a meteorological model. A detailed analysis of a 2-day period showed that the swell component, propagating from a far source area, is underestimated in the wave model. A data base has been created, containing all experimental measurements. It will allow us to pursue the interpretation of observations and to test model simulations in the ocean, at the surface and in the atmospheric boundary layer, and to investigate the ocean-atmosphere coupling at the local and mesoscales.

  17. Meteorological buoy measurements in the Iceland Sea, 2007-2009

    NASA Astrophysics Data System (ADS)

    Nína Petersen, Guðrún

    2017-10-01

    The Icelandic Meteorological Office (IMO) conducted meteorological buoy measurements in the central Iceland Sea in the time period 2007-2009, specifically in the northern Dreki area on the southern segment of the Jan Mayen Ridge. Due to difficulties in deployment and operations, in situ measurements in this region are sparse. Here the buoy, deployment and measurements are described with the aim of giving a future user of the data set information that is as comprehensive as possible. The data set has been quality-checked, suspect data removed and the data set made publicly available from PANGAEA Data Publisher (https://doi.org/10.1594/PANGAEA.876206).

  18. Investigation on the possibility of extracting wave energy from the Texas coast

    NASA Astrophysics Data System (ADS)

    Haces-Fernandez, Francisco

    Due to the great and growing demand of energy consumption in the Texas Coast area, the generation of electricity from ocean waves is considered very important. The combination of the wave energy with offshore wind power is explored as a way to increase power output, obtain synergies, maximize the utilization of assigned marine zones and reduce variability. Previously literature has assessed the wave energy generation, combined with wind in different geographic locations such as California, Ireland and the Azores Island. In this research project, the electric power generation from ocean waves on the Texas Coast was investigated, assessing its potential from the meteorological data provided by five buoys from National Data Buoy Center of the National Oceanic and Atmospheric Administration, considering the Pelamis 750 kW Wave Energy Converter (WEC) and the Vesta V90 3 MW Wind Turbine. The power output from wave energy was calculated for the year 2006 using Matlab, and the results in several locations were considered acceptable in terms of total power output, but with a high temporal variability. To reduce its variability, wave energy was combined with wind energy, obtaining a significant reduction on the coefficient of variation on the power output. A Matlab based interface was created to calculate power output and its variability considering data from longer periods of time.

  19. Response of Ocean Circulation to Different Wind Forcing in Puerto Rico and US Virgin Islands

    NASA Astrophysics Data System (ADS)

    Solano, Miguel; Garcia, Edgardo; Leonardi, Stafano; Canals, Miguel; Capella, Jorge

    2013-11-01

    The response of the ocean circulation to various wind forcing products has been studied using the Regional Ocean Modeling System. The computational domain includes the main islands of Puerto Rico, Saint John and Saint Thomas, located on the continental shelf dividing the Caribbean Sea and the Atlantic Ocean. Data for wind forcing is provided by an anemometer located in a moored buoy, the Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) model and the National Digital Forecast Database (NDFD). Hindcast simulations have been validated using hydrographic data at different locations in the area of study. Three cases are compared to quantify the impact of high resolution wind forcing on the ocean circulation and the vertical structure of salinity, temperature and velocity. In the first case a constant wind velocity field is used to force the model as measured by an anemometer on top of a buoy. In the second case, a forcing field provided by the Navy's COAMPS model is used and in the third case, winds are taken from NDFD in collaboration with the National Centers for Environmental Prediction. Validated results of ocean currents against data from Acoustic Doppler Current Profilers at different locations show better agreement using high resolution wind data as expected. Thanks to CariCOOS and NOAA.

  20. 11. BUOY DECK, NEAR PILOT HOUSE SUPERSTRUCTURE, LOOKING TOWARDS HATCH ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    11. BUOY DECK, NEAR PILOT HOUSE SUPERSTRUCTURE, LOOKING TOWARDS HATCH DOOR INTO WINCH ROOM IN THE SUPERSTRUCTURE (LABELED AS FASSAGE & HYDRAULIC MACHINERY ON PLAN), SHOWING UNDERSIDE OF GEARED WHEEL OF BOOM. - U.S. Coast Guard Cutter WHITE LUPINE, U.S. Coast Guard Station Rockland, east end of Tillson Avenue, Rockland, Knox County, ME

  1. NREL Deploys Wave and Tidal Measurement Buoys | News | NREL

    Science.gov Websites

    various wave and tidal models, and in turn, reduce risks for developers. These buoys allow researchers to "better understand the limitations and errors in existing global wave models," says Kilcher using NREL, laboratory, and U.S. Department of Energy published models, the team identified likely

  2. 46 CFR 164.019-3 - Definitions.

    Code of Federal Regulations, 2013 CFR

    2013-10-01

    ... Guard-approved PFDs. Commandant means the Chief of the Lifesaving and Fire Safety Division, Office of Engineering and Design Standards, U.S. Coast Guard. Address: Commandant (CG-ENG-4), Attn: Lifesaving and Fire... and III. 3 III. 4B IV (all Ring Buoys). 4BC IV (Buoyant Cushions). 4RB IV (Recreational Ring Buoys...

  3. 46 CFR 164.019-3 - Definitions.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... Guard-approved PFDs. Commandant means the Chief of the Lifesaving and Fire Safety Division, Office of Engineering and Design Standards, U.S. Coast Guard. Address: Commandant (CG-ENG-4), Attn: Lifesaving and Fire... and III. 3 III. 4B IV (all Ring Buoys). 4BC IV (Buoyant Cushions). 4RB IV (Recreational Ring Buoys...

  4. The Great Build-a-Buoy Challenge

    ERIC Educational Resources Information Center

    Dickerson, Daniel; Hathcock, Stephanie; Stonier, Frank; Levin, Doug

    2012-01-01

    As Science, Technology, Engineering, and Mathematics (STEM) Education continues to become more visible in elementary school curricula, the need for activities that address STEM content is growing. Build-A-Buoy is one such activity. This activity was developed by Doug Levin in 2008 when he was an education coordinator for the NOAA Chesapeake Bay…

  5. Pacific Ocean buoy temperature date

    EPA Pesticide Factsheets

    Pacific Ocean buoy temperature dataThis dataset is associated with the following publication:Carbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri, F. De Simone, I.M. Hedgecock, and N. Pirrone. Sea surface temperature variation linked to elemental mercury concentrations measured on Mauna Loa. GEOPHYSICAL RESEARCH LETTERS. American Geophysical Union, Washington, DC, USA, online, (2016).

  6. Measurement of shallow sea floor motion with GPS on a rigid buoy: system design and synthetic analysis

    NASA Astrophysics Data System (ADS)

    Dixon, T. H.; Xie, S.; Malservisi, R.; Lembke, C.; Iannaccone, G.; Law, J.; Rodgers, M.; Russell, R.; Voss, N. K.

    2017-12-01

    A GPS-buoy system has been built and is currently undergoing test to measure precise 3D sea floor motion in the shallow (less than 200 m) continental shelf environment. Offshore deformation is undersampled in most subduction zones. In Cascadia, the shallow shelf environment constitutes roughly 20%-25% of the offshore area between the coastline and the trench. In the system being tested, the GPS receiver at the top of the buoy is connected to the sea floor through a rigid structure supported by a float. A similar design has been used by INGV (Italy) to measure vertical deformation on the sea floor near the Campi Flegrei caldera. Synthetic analysis shows that by adding a 3-axis digital compass to measure heading and tilt, along with kinematic GPS measurements, position of the anchor can be recovered to an accuracy of several centimeters or better, depending on water depth and GPS baseline length. Synthetic resolution tests show that our ability to detect shallow slow slip events on subduction plate boundaries can be greatly improved by adding offshore GPS-buoy sites.

  7. KSC-04pd1498

    NASA Image and Video Library

    2004-07-07

    KENNEDY SPACE CENTER, FLA. - Disembarking from the boat in Key Largo are Otto Rutten and Marc Reagan, participating in the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission at the NOAA Aquarius underwater station offshore. Rutten is director for the National Underwater Research Center; Reagan is mission lead. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. The NEEMO-6 team comprises astronaut John Herrington, mission commander, astronauts Doug Wheelock and Nick Patrick, and biomedical engineer Tara Ruttley. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  8. Static Electric Fields and Lightning Over Land and Ocean in Florida Thunderstorms

    NASA Technical Reports Server (NTRS)

    Wilson, J. G.; Cummins, K. L.; Simpson, A. A.; Hinckley, A.

    2017-01-01

    Natural cloud-to-ground (CG) lightning and the charge structure of the associated clouds behave differently over land and ocean. Existing literature has raised questions over the years on the behavior of thunderstorms and lightning over oceans, and there are still open scientific questions. We expand on the observational datasets by obtaining identical electric field observations over coastal land, near-shore, and deep ocean regions during both clear air and thunderstorm periods. Oceanic observations were obtained using two 3-meter NOAA buoys that were instrumented with Campbell Scientific electric field mills to measure the static electric fields. These data were compared to selected electric field records from the existing on-shore electric field mill suite of 31 sensors at Kennedy Space Center (KSC). CG lightning occurrence times, locations and peak current values for both on-shore and ocean were provided by the U.S. National Lightning Detection Network. The buoy instruments were first evaluated on-shore at the Florida coast, to calibrate field enhancements and to confirm proper behavior of the system in elevated-field environments. The buoys were then moored 20NM and 120NM off the coast of KSC in February (20NM) and August (120NM) 2014. Statistically larger CG peak currents were reported over the deep ocean for first strokes and for subsequent strokes with new contacts points. Storm-related static fields were significantly larger at both oceanic sites, likely due to decreased screening by nearby space charge. Time-evolution of the static field during storm development and propagation indicated weak or missing lower positive charge regions in most storms that initiated over the deep ocean, supporting one mechanism for the observed high peak currents in negative first strokes over the deep ocean. This project also demonstrated the practicality of off-shore electric field measurements for safety-related decision making at KSC.

  9. Snow depth evolution on sea ice from Snow Buoy measurement

    NASA Astrophysics Data System (ADS)

    Nicolaus, M.; Arndt, S.; Hendricks, S.; Hoppmann, M.; Katlein, C.; König-Langlo, G.; Nicolaus, A.; Rossmann, H. L.; Schiller, M.; Schwegmann, S.; Langevin, D.

    2016-12-01

    Snow cover is an Essential Climate Variable. On sea ice, snow dominates the energy and momentum exchanges across the atmosphere-ice-ocean interfaces, and actively contributes to sea ice mass balance. Yet, snow depth on sea ice is one of the least known and most difficult to observe parameters of the Arctic and Antarctic; mainly due to its exceptionally high spatial and temporal variability. In this study; we present a unique time series dataset of snow depth and air temperature evolution on Arctic and Antarctic sea ice recorded by autonomous instruments. Snow Buoys record snow depth with four independent ultrasonic sensors, increasing the reliability of the measurements and allowing for additional analyses. Auxiliary measurements include surface and air temperature, barometric pressure and GPS position. 39 deployments of such Snow Buoys were achieved over the last three years either on drifting pack ice, on landfast sea ice or on an ice shelf. Here we highlight results from two pairs of Snow Buoys installed on drifting pack ice in the Weddell Sea. The data reveals large regional differences in the annual cycle of snow depth. Almost no reduction in snow depth (snow melt) was observed in the inner and southern part of the Weddell Sea, allowing a net snow accumulation of 0.2 to 0.9 m per year. In contrast, summer snow melt close to the ice edge resulted in a decrease of about 0.5 m during the summer 2015/16. Another array of eight Snow Buoys was installed on central Arctic sea ice in September 2015. Their air temperature record revealed exceptionally high air temperatures in the subsequent winter, even exceeding the melting point but with almost no impact on snow depth at that time. Future applications of Snow Buoys on Arctic and Antarctic sea ice will allow additional inter-annual studies of snow depth and snow processes, e.g. to support the development of snow depth data products from airborne and satellite data or though assimilation in numerical models.

  10. Snow depth on Arctic and Antarctic sea ice derived from autonomous (Snow Buoy) measurements

    NASA Astrophysics Data System (ADS)

    Nicolaus, Marcel; Arndt, Stefanie; Hendricks, Stefan; Heygster, Georg; Huntemann, Marcus; Katlein, Christian; Langevin, Danielle; Rossmann, Leonard; Schwegmann, Sandra

    2016-04-01

    The snow cover on sea ice received more and more attention in recent sea ice studies and model simulations, because its physical properties dominate many sea ice and upper ocean processes. In particular; the temporal and spatial distribution of snow depth is of crucial importance for the energy and mass budgets of sea ice, as well as for the interaction with the atmosphere and the oceanic freshwater budget. Snow depth is also a crucial parameter for sea ice thickness retrieval algorithms from satellite altimetry data. Recent time series of Arctic sea ice volume only use monthly snow depth climatology, which cannot take into account annual changes of the snow depth and its properties. For Antarctic sea ice, no such climatology is available. With a few exceptions, snow depth on sea ice is determined from manual in-situ measurements with very limited coverage of space and time. Hence the need for more consistent observational data sets of snow depth on sea ice is frequently highlighted. Here, we present time series measurements of snow depths on Antarctic and Arctic sea ice, recorded by an innovative and affordable platform. This Snow Buoy is optimized to autonomously monitor the evolution of snow depth on sea ice and will allow new insights into its seasonality. In addition, the instruments report air temperature and atmospheric pressure directly into different international networks, e.g. the Global Telecommunication System (GTS) and the International Arctic Buoy Programme (IABP). We introduce the Snow Buoy concept together with technical specifications and results on data quality, reliability, and performance of the units. We highlight the findings from four buoys, which simultaneously drifted through the Weddell Sea for more than 1.5 years, revealing unique information on characteristic regional and seasonal differences. Finally, results from seven snow buoys co-deployed on Arctic sea ice throughout the winter season 2015/16 suggest the great importance of local effects, weather events, and potential influences of dynamic sea ice processes on snow accumulation.

  11. Evolution of offshore wind waves tracked by surface drifters with a point-positioning GPS sensor

    NASA Astrophysics Data System (ADS)

    Komatsu, K.

    2009-12-01

    Wind-generated waves have been recognized as one of the most important factors of the sea surface roughness which plays crucial roles in various air-sea interactions such as energy, momentum, heat and gas exchanges. At the same time, wind waves with extreme wave heights representatively called as freak or rogue waves have been a matter of great concern for many people involved in shipping, fishing, constracting, surfing and other marine activities, because such extreme waves frequently affect on the marine activities and sometimes cause serious disasters. Nevertheless, investigations of actual conditions for the evolution of wind waves in the offshore region are less and sparse in contrast to dense monitoring networks in the coastal regions because of difficulty of offshore observation with high accuracy. Recently accurate in situ observation of offshore wind waves is getting possible at low cost owing to a wave height and direction sensor developed by Harigae et al. (2004) by installing a point-positioning GPS receiver on a surface drifting buoy. The point-positioning GPS sensor can extract three dimensional movements of the buoy excited by ocean waves with minimizing effects of GPS point-positioning errors through the use of a high-pass filter. Two drifting buoys equipped with the GPS-based wave sensor charged by solar cells were drifted in the western North Pacific and one of them continued to observe wind waves during 16 months from Sep. 2007. The RMSE of the GPS-based wave sensor was less than 10cm in significant wave height and about 1s in significant wave period in comparison with other sensors, i.e. accelerometers installed on drifting buoys of Japan Meteorological Agency, ultrasonic sensors placed at the Hiratsuka observation station of the University of Tokyo and altimeter of the JASON-1. The GPS-based wave buoys enabled us to detect freak waves defined as waves whose height is more than twice the significant wave height. The observation conducted by the wave buoys in 2007-2008 indicated a little more frequent occurrence of freak waves comparing with Forristall’s (1978) empirical formula and Naess’s (1985) distribution for a narrow-band Gaussian sea. Fig.1. Time series of the ratio of the significant wave height to the maximum wave height in 20 minutes sampling period observed by a drifting buoy with a GPS sensor

  12. 33 CFR 110.138 - Boston Harbor, Mass.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... line running due north from Old Harbor Buoy 4 to the shore line at City Point. (5) Explosives anchorage... beacon on top of the Boston Custom House tower; and thence to the point of beginning. (2) President Roads... adjacent land; on the east by a line between Castle Rocks Fog Signal Light and Old Harbor Shoal Buoy 2; on...

  13. 33 CFR 110.138 - Boston Harbor, Mass.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... line running due north from Old Harbor Buoy 4 to the shore line at City Point. (5) Explosives anchorage... beacon on top of the Boston Custom House tower; and thence to the point of beginning. (2) President Roads... adjacent land; on the east by a line between Castle Rocks Fog Signal Light and Old Harbor Shoal Buoy 2; on...

  14. 33 CFR 110.138 - Boston Harbor, Mass.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... line running due north from Old Harbor Buoy 4 to the shore line at City Point. (5) Explosives anchorage... beacon on top of the Boston Custom House tower; and thence to the point of beginning. (2) President Roads... adjacent land; on the east by a line between Castle Rocks Fog Signal Light and Old Harbor Shoal Buoy 2; on...

  15. Seasonal Ice Zone Reconnaissance Surveys Coordination

    DTIC Science & Technology

    2016-03-30

    sea surface temperature (SST), sea level atmospheric pressure ( SLP ), and velocity (Steele), and dropsonde measurements of atmospheric properties...aircraft), cloud top/base heights UpTempO buoys for understanding and prediction…. Steele UpTempO buoy drops for SLP , SST, SSS, & surface velocity...reflectance, skin temperature, visible imagery AXCTD= Air Expendable CTD, AXCP= Air Expendable Current Profiler, SLP = Sea Level atmospheric

  16. 33 CFR 110.145 - Narragansett Bay, R.I.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Coasters Harbor Island, west of a line bearing 351° from Tracey Ledge Buoy 5 through Seventeen-foot Spot Buoy northeast of Gull Rocks; south of a line bearing 292° from the cupola at the Naval War College... bearing 341° from the outer end of Briggs Wharf to the southwestern shore of Coasters Harbor Island near...

  17. 33 CFR 110.145 - Narragansett Bay, R.I.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Coasters Harbor Island, west of a line bearing 351° from Tracey Ledge Buoy 5 through Seventeen-foot Spot Buoy northeast of Gull Rocks; south of a line bearing 292° from the cupola at the Naval War College... bearing 341° from the outer end of Briggs Wharf to the southwestern shore of Coasters Harbor Island near...

  18. Wave and Current Observations in a Tidal Inlet Using GPS Drifter Buoys

    DTIC Science & Technology

    2013-03-01

    right panel). ............17  Figure 10.  DWR-G external sensor configuration (left panel). GT-31 GPS receiver is visible on the bottom left. Two GoPro ...receiver is visible on the bottom left. Two GoPro cameras are attached to the top of the buoy. DWR-G internal sensor configuration (right panel

  19. 46 CFR 164.019-3 - Definitions.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... Guard-approved PFDs. Commandant means the Chief of the Lifesaving and Fire Safety Division, Office of... code PFD type acceptable for use 1 I, II, and III. 2 II and III. 3 III. 4B IV (all Ring Buoys). 4BC IV (Buoyant Cushions). 4RB IV (Recreational Ring Buoys only). 5 Wearable Type V (intended use must be...

  20. 64. Photocopy of Buoy Derrick Arrangement, WAGL 543 and WAGL ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    64. Photocopy of Buoy Derrick Arrangement, WAGL 543 and WAGL 542. Puget Sound Naval Shipyard, Bremerton, Washington, Coast Guard Headquarters Drawing No. 540-WAGL-1701-20, dated April 1948. Original drawing property of the U.S. Coast Guard. - U.S. Coast Guard Cutter WHITE HEATH, USGS Integrated Support Command Boston, 427 Commercial Street, Boston, Suffolk County, MA

  1. 33 CFR 74.20-1 - Buoy and vessel use costs.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... 7310 (series) which is available from the District Budget Office of the appropriate Coast Guard District Commander. (b) Buoy and vessel use charges under this part are made for the cost or value of time... obstruction. No charge for time and expense of Coast Guard vessels is made when the marking of the obstruction...

  2. 33 CFR 74.20-1 - Buoy and vessel use costs.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... 7310 (series) which is available from the District Budget Office of the appropriate Coast Guard District Commander. (b) Buoy and vessel use charges under this part are made for the cost or value of time... obstruction. No charge for time and expense of Coast Guard vessels is made when the marking of the obstruction...

  3. KSC-04pd1497

    NASA Image and Video Library

    2004-07-07

    KENNEDY SPACE CENTER, FLA. - The boat with NEEMO-6 personnel ties up at the dock in Key Largo after a training session offshore at NASA’s undersea research station, named Aquarius. At right is Bill Todd, project lead. The NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission involves spacewalk-like diving excursions and field-testing a variety of biomedical equipment designed to help astronauts living aboard the International Space Station. The NEEMO-6 team comprises astronaut John Herrington, mission commander, astronauts Doug Wheelock and Nick Patrick, and biomedical engineer Tara Ruttley. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  4. Measurement of Near-Surface Salinity, Temperature and Directional Wave Spectra using a Novel Wave-Following, Lagrangian Surface Contact Buoy

    NASA Astrophysics Data System (ADS)

    Boyle, J. P.

    2016-02-01

    Results from a surface contact drifter buoy which measures near-surface conductivity ( 10 cm depth), sea state characteristics and near-surface water temperature ( 2 cm depth) are described. This light (< 750 gram), wave-following discus buoy platform has a hull diameter of 25 cm and a thickness of approximately 3 cm. The buoy is designed to allow for capsize events, but remains top up because it is ballasted for self-righting. It has a small above-surface profile and low windage, resulting in near-Lagrangian drift characteristics. It is autonomous, with low power requirements and solar panel battery recharging. Onboard sensors include an inductive toroidal conductivity probe for salinity measurement, a nine-degrees-of-freedom motion package for derivation of directional wave spectra and a thermocouple for water temperature measurement. Data retrieval for expendable, ocean-going operation uses an onboard Argos transmitter. Scientific results as well as data processing algorithms are presented from laboratory and field experiments which support qualification of buoy platform measurements. These include sensor calibration experiments, longer-term dock-side biofouling experiments during 2013-2014 and a series of short-duration ocean deployments in the Gulf Stream in 2014. In addition, a treatment method will be described which appears to minimize the effects of biofouling on the inductive conductivity probe when in coastal surface waters. Due to its low cost and ease of deployment, scores, perhaps hundreds of these novel instruments could be deployed from ships or aircraft during process studies or to provide surface validation for satellite-based measurements, particularly in high precipitation regions.

  5. Observing the Texas Coast

    NASA Astrophysics Data System (ADS)

    Knap, A. H.; Chapman, P.; DiMarco, S. F.; Walpert, J.; Guinasso, N. L., Jr.; Whilden, K.

    2016-02-01

    The Gulf of Mexico (GOM), sometimes referred to as the western Mediterranean, is a dynamic and interesting body for study with diverse uses and needs from a wide range of communities. Environmental issues are similar to many other semi-closed basins and the main ones, nutrient and chemical discharge, land run-off and physical currents, as well as oil spills and the many natural seeps creates many issues such as eutrophication, an annual hypoxic zone, Harmful Algal blooms, ocean acidification and oil blowouts to name a few. The Texas Automated Buoy System is constituted of 8 real time coastal buoys operated by the Geochemical and Environmental Research Group. Through a JIP, 2 additional buoys were added at the Flower Garden Banks. to support decision-making should there be a spill. In addition a numerical circulation modeling group at Texas A&M University Oceanography Department was also funded to connect the data from the buoys to a predictive model also funded by TGLO. This observing system has proved its worth over the years as spills have occurred which have been tracked for rapid and effective coastal protection. Recently, other instrumentation has been developed to more holistically study the Gulf of Mexico and particularly the Texas Coast. Eight 5-Hz coastal radars spaced approximated 80 km along the coast are being installed from South Padre Island to the Sabine. Autonomous Surface Vehicles (Autonaut and Liquid Robotics Wave Gliders) will complement the buoy network and coastal radars by establishing a series of transects that will transit through out the observational footprint. The first data emerging from this integration will be presented.

  6. Real-time seismic data from the coastal ocean

    USGS Publications Warehouse

    Frye, D.; ten Brink, Uri S.; Paul, W.; Peal, K.; Von Der Heydt, K.

    2003-01-01

    A moored-buoy system for collecting real-time seismic data from the coastal ocean has been developed and will be deployed for its initial field trial in the fall of 2003. The key component in this moored system is an ultra-stretchy mooring hose that provides compliance for waves and currents and protects the electrical conductors connecting an Ocean Bottom Seismometer (OBS) to a surface buoy from the effects of bending and stretching. This hose is able to stretch to more than twice its unstretched length of 30 m without putting excessive strain on the electrical conductors embedded in its wall. In the initial trials of this system, the OBS will be deployed on the bottom in 40 m of water and connected to the mooring hose through a cable on the seafloor. It will transmit continuous data at a rate of about 5,000 bps to a radio link in the surface buoy. A repeater modem located at the Gay Head lighthouse on Martha's Vineyard about 18 km from the mooring site will receive the transmissions and forward the data to our laboratory at WHOI, about 46 km distant. A GPS receiver on the surface buoy will be configured to send accurate and synchronized time to the OBS on the seafloor, which will make it possible to include data from these undersea systems in the existing seismic data network without the need for any preprocessing. Power to operate the RF link and the OBS will be supplied by solar panels and rechargeable batteries on the surface buoy.

  7. Mobile data buoy system. [water quality measurements in watersheds and Mobile Bay, Alabama

    NASA Technical Reports Server (NTRS)

    Morton, R. A.

    1975-01-01

    The Mobile Data Buoy System was conceived to serve the users requirement for obtaining water quality parameters from two separate watershed systems. In view of the cost constraints of the ERTS program it was obvious that the network of 10 sampling stations required could not be of the fixed installation type; therefore, it was decided to go to a system of battery powered buoys of a size that could be used in one watershed system for a period of time and then moved to another by use of a relatively small 6.7 m (22 foot) boat. The basic idea of the water quality measurement program was to establish the water quality pattern of change from the headwaters of the watersheds to and through the Mobile Bay. This would allow the investigator to develop a good picture of the state's major water resources and the pressures from pollution that are being imposed. At this point in deployment of this mobile system of buoys, it is too early to put a quantitative value on the system, however it appears less expensive than known fixed installations as to first cost. It has a basic advantage in that it can be moved, at very little expense, to alternate sites where it is desired to obtain water quality data. It is to be noted this buoy system which covers a 80 Km (50 mile) stretch of the Black Warrior River and then skips down 483 Km (300 miles) to Mobile Bay for the next measurements would not be feasible unless there is a satellite to collect and relay the data.

  8. Wave-Ice and Air-Ice-Ocean Interaction During the Chukchi Sea Ice Edge Advance

    DTIC Science & Technology

    2014-09-30

    During cruise CU-B UAF UW Airborne expendable Ice Buoy (AXIB) Ahead, at and inside ice edge Surface meteorology T, SLP ~1 year CU-B UW...Balance (IMB) buoys Inside ice edge w/ >50cm thickness Ice mass balance T in snow-ice-ocean, T, SLP at surface ~1 year WHOI CRREL (SeaState DRI

  9. In-situ and Land-Based Remote Sensing of River Inlets and Their Interaction with Coastal Waters

    DTIC Science & Technology

    2013-09-30

    CDIP buoy 190 was reporting the impending waves having a 1 meter significant wave height, 7.7s peak period, from 129 degrees. Using the X-Band...spectral energy along a shifted dispersion relationship curve. In deep water, the waves reported by CDIP buoy 190 would have a wavenumber of 0.068 rad/m

  10. 33 CFR 110.145 - Narragansett Bay, R.I.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ... bearing 351° from Tracey Ledge Buoy 5 through Seventeen-foot Spot Buoy northeast of Gull Rocks; south of a line bearing 292° from the cupola at the Naval War College; east of a line ranging 19° from the... stakes will not be allowed. (4) Anchorage D. West of Goat Island, south of a line bearing 247° from...

  11. 33 CFR 110.145 - Narragansett Bay, R.I.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... bearing 351° from Tracey Ledge Buoy 5 through Seventeen-foot Spot Buoy northeast of Gull Rocks; south of a line bearing 292° from the cupola at the Naval War College; east of a line ranging 19° from the... stakes will not be allowed. (4) Anchorage D. West of Goat Island, south of a line bearing 247° from...

  12. 33 CFR 110.145 - Narragansett Bay, R.I.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... bearing 351° from Tracey Ledge Buoy 5 through Seventeen-foot Spot Buoy northeast of Gull Rocks; south of a line bearing 292° from the cupola at the Naval War College; east of a line ranging 19° from the.... (5) Anchorage E. South of Coasters Harbor Island, east of a line bearing 341° from the outer end of...

  13. Satellite Communications for Coast Guard Homeland Defense

    DTIC Science & Technology

    2002-03-01

    WAN Wide Area Network WHEC High Endurance Cutter WIX Training Cutter WLB Seagoing Buoy Tenders WLI Inland Buoy Tenders WLIC...WMEC), Icebreakers (WAGB), and the Training Cutter ( WIX ) 9 MILSATCOM (UHF) Secure Voice, Record Message Traffic, Tactical data (OTIXICS...onboard CG vessels. [Ref. 3, p.19] By supporting different platforms throughout the CG fleet, we increase the complexity of the network, and thus

  14. 76 FR 50710 - Security Zones; Cruise Ships, San Pedro Bay, CA

    Federal Register 2010, 2011, 2012, 2013, 2014

    2011-08-16

    ... located within the San Pedro Bay port area landward of the sea buoys bounding the Port of Los Angeles or... port area landward of the sea buoys bounding the Port of Los Angeles or Port of Long Beach or at... authorized by the Captain of the Port (COTP) Los Angeles--Long Beach, or his designated representative. DATES...

  15. Quantifying Electromagnetic Wave Propagation Environment Using Measurements From A Small Buoy

    DTIC Science & Technology

    2017-06-01

    ELECTROMAGNETIC WAVE PROPAGATION ENVIRONMENT USING MEASUREMENTS FROM A SMALL BUOY by Andrew E. Sweeney June 2017 Thesis Advisor: Qing Wang...TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE QUANTIFYING ELECTROMAGNETIC WAVE PROPAGATION ENVIRONMENT USING MEASUREMENTS FROM A...the Coupled Air Sea Processes and Electromagnetic (EM) ducting Research (CASPER), to understand air-sea interaction processes and their representation

  16. 33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi River and Southwest Pass, moving security zones are established around all cruise ships between the... encompass all waters within 500 yards of a cruise ship. These zones remain in effect during the entire...

  17. 33 CFR 165.839 - Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker...

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... 33 Navigation and Navigable Waters 2 2013-07-01 2013-07-01 false Safety Zone; Large Cruise Ships... Areas and Limited Access Areas Eighth Coast Guard District § 165.839 Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location...

  18. 33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi River and Southwest Pass, moving security zones are established around all cruise ships between the... encompass all waters within 500 yards of a cruise ship. These zones remain in effect during the entire...

  19. 33 CFR 165.839 - Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... 33 Navigation and Navigable Waters 2 2014-07-01 2014-07-01 false Safety Zone; Large Cruise Ships... Areas and Limited Access Areas Eighth Coast Guard District § 165.839 Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location...

  20. 33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi River and Southwest Pass, moving security zones are established around all cruise ships between the... encompass all waters within 500 yards of a cruise ship. These zones remain in effect during the entire...

  1. 33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi River and Southwest Pass, moving security zones are established around all cruise ships between the... encompass all waters within 500 yards of a cruise ship. These zones remain in effect during the entire...

  2. 77 FR 65816 - Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker...

    Federal Register 2010, 2011, 2012, 2013, 2014

    2012-10-31

    ... Marker 96.0; New Orleans, LA AGENCY: Coast Guard, DHS. ACTION: Final rule. SUMMARY: The Coast Guard is... the Port of New Orleans Cruise Ship Terminal, mile marker 96.0, and the Southwest Pass Sea Buoy. The... Commander (LCDR) Brandon Sullivan, Sector New Orleans, U.S. Coast Guard; telephone 504-365-2280, email...

  3. 33 CFR 165.704 - Safety Zone; Tampa Bay, Florida.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    ..., Florida. (a) A floating safety zone is established consisting of an area 1000 yards fore and aft of a... ending at Gadsden Point Cut Lighted Buoys “3” and “4”. The safety zone starts again at Gadsden Point Cut... the marked channel at Tampa Bay Cut “K” buoy “11K” enroute to Rattlesnake, Tampa, FL, the floating...

  4. The Antifouling of ACLW-CAR Based on Ultrasonic Cleaner

    NASA Astrophysics Data System (ADS)

    Zhang, Guohua; Liu, Shixuan; Qin, Qingliang

    2017-10-01

    Equipped with ACLW-CAR, the buoy provided effective technical platform for on-site rapid monitoring of the chlorophyll and turbidity. Performance index and usage in the ocean buoy of ACLW-CAR was introduced. Ultrasonic cleaning method in seawater was developed for preventing ACLW-CAR from biofouling. Marine chlorophyll and turbidity data can serve for oceanographic research and marine resource exploitation.

  5. 46 CFR 7.45 - Cape Henlopen, DE to Cape Charles, VA.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... Inlet Lighted Gong Buoy “1”); thence to Indian River Inlet South Jetty Light. (b) A line drawn from... Buoy “5”); thence to the easternmost extremity of the south breakwater. (c) A line drawn from... from the southernmost extremity of Cedar Island to latitude 37°34.7′ N. longitude 75°36.0′ W...

  6. Fort Morgan and the Battle of Mobile Bay. Teaching with Historic Places.

    ERIC Educational Resources Information Center

    Blankenship, Blanton; Rambo, Bill

    Under the light of dawn, Union Admiral David Farragut began his attack on Mobile Bay, Alabama. Aware of the danger near Fort Morgan (Alabama), Farragut ordered his captains to stay to the eastward of the easternmost buoy because it was understood there were obstructions between the buoys. The ironclad USS Tecumseh, unable to avoid the danger,…

  7. Scaling properties of the Arctic sea ice Deformation from Buoy Dispersion Analysis

    NASA Astrophysics Data System (ADS)

    Weiss, J.; Rampal, P.; Marsan, D.; Lindsay, R.; Stern, H.

    2007-12-01

    A temporal and spatial scaling analysis of Arctic sea ice deformation is performed over time scales from 3 hours to 3 months and over spatial scales from 300 m to 300 km. The deformation is derived from the dispersion of pairs of drifting buoys, using the IABP (International Arctic Buoy Program) buoy data sets. This study characterizes the deformation of a very large solid plate -the Arctic sea ice cover- stressed by heterogeneous forcing terms like winds and ocean currents. It shows that the sea ice deformation rate depends on the scales of observation following specific space and time scaling laws. These scaling properties share similarities with those observed for turbulent fluids, especially for the ocean and the atmosphere. However, in our case, the time scaling exponent depends on the spatial scale, and the spatial exponent on the temporal scale, which implies a time/space coupling. An analysis of the exponent values shows that Arctic sea ice deformation is very heterogeneous and intermittent whatever the scales, i.e. it cannot be considered as viscous-like, even at very large time and/or spatial scales. Instead, it suggests a deformation accommodated by a multi-scale fracturing/faulting processes.

  8. A Low-Cost Sensor Buoy System for Monitoring Shallow Marine Environments

    PubMed Central

    Albaladejo, Cristina; Soto, Fulgencio; Torres, Roque; Sánchez, Pedro; López, Juan A.

    2012-01-01

    Monitoring of marine ecosystems is essential to identify the parameters that determine their condition. The data derived from the sensors used to monitor them are a fundamental source for the development of mathematical models with which to predict the behaviour of conditions of the water, the sea bed and the living creatures inhabiting it. This paper is intended to explain and illustrate a design and implementation for a new multisensor monitoring buoy system. The system design is based on a number of fundamental requirements that set it apart from other recent proposals: low cost of implementation, the possibility of application in coastal shallow-water marine environments, suitable dimensions for deployment and stability of the sensor system in a shifting environment like the sea bed, and total autonomy of power supply and data recording. The buoy system has successfully performed remote monitoring of temperature and marine pressure (SBE 39 sensor), temperature (MCP9700 sensor) and atmospheric pressure (YOUNG 61302L sensor). The above requirements have been satisfactorily validated by operational trials in a marine environment. The proposed buoy sensor system thus seems to offer a broad range of applications. PMID:23012562

  9. Scaling properties of sea ice deformation from buoy dispersion analysis

    NASA Astrophysics Data System (ADS)

    Rampal, P.; Weiss, J.; Marsan, D.; Lindsay, R.; Stern, H.

    2008-03-01

    A temporal and spatial scaling analysis of Arctic sea ice deformation is performed over timescales from 3 h to 3 months and over spatial scales from 300 m to 300 km. The deformation is derived from the dispersion of pairs of drifting buoys, using the IABP (International Arctic Buoy Program) buoy data sets. This study characterizes the deformation of a very large solid plate (the Arctic sea ice cover) stressed by heterogeneous forcing terms like winds and ocean currents. It shows that the sea ice deformation rate depends on the scales of observation following specific space and time scaling laws. These scaling properties share similarities with those observed for turbulent fluids, especially for the ocean and the atmosphere. However, in our case, the time scaling exponent depends on the spatial scale, and the spatial exponent on the temporal scale, which implies a time/space coupling. An analysis of the exponent values shows that Arctic sea ice deformation is very heterogeneous and intermittent whatever the scales, i.e., it cannot be considered as viscous-like, even at very large time and/or spatial scales. Instead, it suggests a deformation accommodated by a multiscale fracturing/faulting processes.

  10. Observations of vertical tidal motions of a floating iceberg in front of Shirase Glacier, East Antarctica, using a geodetic-mode GPS buoy

    NASA Astrophysics Data System (ADS)

    Aoyama, Yuichi; Kim, Tae-Hee; Doi, Koichiro; Hayakawa, Hideaki; Higashi, Toshihiro; Ohsono, Shingo; Shibuya, Kazuo

    2016-06-01

    A dual-frequency GPS receiver was deployed on a floating iceberg downstream of the calving front of Shirase Glacier, East Antarctica, on 28 December 2011 for utilizing as floating buoy. The three-dimensional position of the buoy was obtained by GPS every 30 s with a 4-5-cm precision for ca. 25 days. The height uncertainty of the 1-h averaged vertical position was ∼0.5 cm, even considering the uncertainties of un-modeled ocean loading effects. The daily evolution of north-south (NS), east-west (EW), and up-down (UD) motions shows periodic UD variations sometimes attaining an amplitude of 1 m. Observed amplitudes of tidal harmonics of major constituents were 88%-93% (O1) and 85%-88% (M2) of values observed in the global ocean tide models FES2004 and TPXO-8 Atlas. The basal melting rate of the iceberg is estimated to be ∼0.6 m/day, based on a firn densification model and using a quasi-linear sinking rate of the iceberg surface. The 30-s sampling frequency geodetic-mode GPS buoy helps to reveal ice-ocean dynamics around the calving front of Antarctic glaciers.

  11. East Spar development: NCC buoy--The vertical submarine

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Boyle, E.C.

    1998-02-01

    The remote East Spar gas/condensate field has been developed using a subsea production system operated by an unmanned navigation, communication, and control (NCC) buoy. The use of this type of system allows control of the field from any convenient location, with the command-response time and the cost of the facility almost completely independent of the distance to the shore or host facility. Successes during the project (such as using model tests to prove the concept and using a tension-leg mooring system to reduce the motion response of the buoy) are discussed and compared to failures, like the weight and sizemore » growth of the structure, caused as the design requirements were finalized and external factors changed. The operation and layout of this facility is summarized, showing why it was described as a vertical submarine. Conclusions are drawn about the use of an NCC buoy to develop this field, showing that the main objectives have been achieved. The limited operating experience to date is also considered in the review of the design objectives. The paper concludes with the possibilities for the future of this type of concept.« less

  12. Scale model testing of drogues for free drifting buoys

    NASA Technical Reports Server (NTRS)

    Vachon, W. A.

    1973-01-01

    Instrumented model drogue tests were conducted in a ship model towing tank. The purpose of the tests was to observe and measure deployment and drag characteristics of such shapes as parachutes, crossed vanes, and window shades which may be employed in conjunction with free drifting buoys. Both Froude and Reynolds scaling laws were applied while scaling to full scale relative velocities of from 0 to 0.2 knots. A weighted window shade drogue is recommended because of its performance, high drag coefficient, simplicity, and low cost. Detailed theoretical performance curves are presented for parachutes, crossed vanes, and window shade drogues. Theoretical estimates of depth locking accuracy and buoy-induced dynamic loads pertinent to window shade drogues are presented as a design aid. An example of a window shade drogue design is presented.

  13. 33 CFR 162.132 - Connecting waters from Lake Huron to Lake Erie; communications rules.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... monitor: (1) Channel 11 (156.55 mhz) between Lake Huron Cut Lighted Buoy 11 and Lake St. Clair Light; and (2) Channel 12 (156.60 mhz) between Lake St. Clair Light and Detroit River Light. (b) Radiotelephone... Cut Light “7” Lake Huron Cut Lighted Buoy “1” Report. Report St. Clair/Black River Junction Light...

  14. Seasonal Ice Zone Reconnaissance Surveys Coordination

    DTIC Science & Technology

    2014-09-30

    profiler (AXCP) ocean velocity shear (Morison), UpTempO buoy measurements of sea surface temperature (SST), sea level atmospheric pressure ( SLP ), and...and prediction…. Steele UpTempO buoy drops for SLP , SST, SSS, & surface velocity Visible and Thermal Images of the SIZ from the Coast Guard...Expendable CTD, AXCP= Air Expendable Current Profiler, SLP = Sea Level atmospheric Pressure, SST= Seas Surface Temperature, A/C= aircraft, SIC=Sea Ice

  15. Nearshore Sea Clutter Measurements from a Fixed Platform

    DTIC Science & Technology

    2012-04-01

    Water (MLL W) datum. 7. GPS Two differential GPS units, Magellan ProMark 3.0, were utilized to determine precise differences in position between the...8 Figure 8. (a) Trihedral configuration on the small boat and position of the GPS and IMU sensors. (b) Profile view of...SIO Miniature Directional Wave Buoys The Scripps Institution of Oceanography designs and manufactures GPS -based miniature directional wave buoys

  16. The Subduction Experiment. Cruise Report, R/V Oceanus, Cruise Number 240 Leg 3, Subduction 1 Mooring Deployment Cruise, 17 June - 5 July 1991

    DTIC Science & Technology

    1993-03-01

    Meteorological instrumentation was mounted to both the discus and toroid buoys. A two I part aluminum tower was attached to both buoy types. The top...Temperature Thermistor -5 to +300C 1/2 time average Thermometrics Measured during first 4K @ 25 0 C half of avg. period. Air Temperature Thermistor -10

  17. The Moored Acoustic Buoy System (MABS)

    DTIC Science & Technology

    1975-04-04

    STAQOG, Ocean Sciences & Technology Department Indirect. REVIEWED AND APPROY 4 April lq75 A)R. Hse Associate Director for Sonar Retsearch The authors...It consists of a subsurface instrumentation buoy in conjunction with a family of lightweight hydrophone arrays designed to measure a variety of...vertical to horizontal in the water column. Recent de- velopments in lightweight synthetic-cable technology have been incorporated into the design to make

  18. 33 CFR 110.140 - Buzzards Bay, Nantucket Sound, and adjacent waters, Mass.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... Phoenix Point; thence 154° along a line which passes 100 yards east of New Bedford Channel Buoys 8, 6, and... through Bird Island Reef Bell Buoy 13; and south of a line bearing 270° from Wings Neck Light. Each vessel... Island Channel 4 Light; thence 129° to a point bearing 209°, approximately 733 yards, from Wings Neck...

  19. 33 CFR 110.140 - Buzzards Bay, Nantucket Sound, and adjacent waters, Mass.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... Phoenix Point; thence 154° along a line which passes 100 yards east of New Bedford Channel Buoys 8, 6, and... through Bird Island Reef Bell Buoy 13; and south of a line bearing 270° from Wings Neck Light. Each vessel... Island Channel 4 Light; thence 129° to a point bearing 209°, approximately 733 yards, from Wings Neck...

  20. 33 CFR 110.140 - Buzzards Bay, Nantucket Sound, and adjacent waters, Mass.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... Phoenix Point; thence 154° along a line which passes 100 yards east of New Bedford Channel Buoys 8, 6, and... through Bird Island Reef Bell Buoy 13; and south of a line bearing 270° from Wings Neck Light. Each vessel... Island Channel 4 Light; thence 129° to a point bearing 209°, approximately 733 yards, from Wings Neck...

  1. Characteristics of offshore extreme wind-waves detected by surface drifters with a low-cost GPS wave sensor

    NASA Astrophysics Data System (ADS)

    Komatsu, Kosei

    Wind-generated waves have been recognized as one of the most important factors of the sea surface roughness which plays crucial roles in various air-sea interactions such as energy, mo-mentum, heat and gas exchanges. At the same time, wind waves with extreme wave heights representatively called as freak or rogue waves have been a matter of great concern for many people involved in shipping, fishing, constracting, surfing and other marine activities, because such extreme waves frequently affect on the marine activities and sometimes cause serious dis-asters. Nevertheless, investigations of actual conditions for the evolution of wind waves in the offshore region are less and sparse in contrast to dense monitoring networks in the coastal re-gions because of difficulty of offshore observation with high accuracy. Recently accurate in situ observation of offshore wind waves is getting possible at low cost owing to a wave height and di-rection sensor developed by Harigae et al. (2004) by installing a point-positioning GPS receiver on a surface drifting buoy. The point-positioning GPS sensor can extract three dimensional movements of the buoy excited by ocean waves with minimizing effects of GPS point-positioning errors through the use of a high-pass filter. Two drifting buoys equipped with the GPS-based wave sensor charged by solar cells were drifted in the western North Pacific and one of them continued to observe wind waves during 16 months from Sep. 2007. The RMSE of the GPS-based wave sensor was less than 10cm in significant wave height and about 1s in significant wave period in comparison with other sensors, i.e. accelerometers installed on drifting buoys of Japan Meteorological Agency, ultrasonic sensors placed at the Hiratsuka observation station of the University of Tokyo and altimeter of the JASON-1. The GPS-based wave buoys enabled us to detect freak waves defined as waves whose height is more than twice the significant wave height. The observation conducted by the wave buoys in 2007-2008 indicated a little more frequent occurrence of freak waves comparing with Forristall's (1978) empirical formula and Naess's (1985) distribution for a narrow-band Gaussian sea.

  2. Variability in the CO2-carbonic Acid System Parameters Across Coral Reef Settings in Hawaii: Perspectives from Multi-year Records from NOAA/PMEL MAPCO2 Buoys

    NASA Astrophysics Data System (ADS)

    De Carlo, E. H.; Drupp, P. S.; Thompson, R. W.; Mackenzie, F. T.; Muscielewicz, S.; Jones, S. M.; Feely, R. A.; Sabine, C. L.

    2012-12-01

    A series of MAP-CO2 buoys deployed in the coastal waters of Hawaii have produced multiyear high temporal resolution CO2 records in four different coral reef environments of the island of Oahu, Hawaii. This study is part of an integrated effort to understand the factors that influence the dynamics of CO2-carbonic acid system parameters in waters bathing Pacific high island coral reef ecosystems and subject to differing natural and anthropogenic stresses. The MAP-CO2 buoys are located in backreef, lagoonal, and fringing reef sites, and measure CO2 and O2 in seawater and in the atmosphere. Other sensors on the buoys record physical and biogeochemical parameters (CTD, chl-a, turbidity, pH, nitrate). The buoy records, when combined with data from synoptic spatial sampling, have allowed us to examine the interplay between biological cycles of productivity/respiration and calcification/dissolution and biogeochemical and physical forcing on hourly to inter-annual time scales, including those of land runoff. Our data demonstrate that coral reefs are subject to a wide range of pCO2, both on short and long time scales, and significant differences in the CO2-carbonic acid system dynamics across these various settings. We report that coral communities currently thrive in areas where the concentrations of CO2 can range from extremes as low as 200 ppm to as high as 1000 ppm and can fluctuate by ~500 ppm on any given day. The data provide evidence that net ecosystem calcification currently occurs in the presence of levels of CO2 predicted to occur well into the next century, although these coral reef ecosystems are only exposed to the extremes for short periods of time each day.

  3. The use of handheld GPS to determine tidal slack in estuaries

    NASA Astrophysics Data System (ADS)

    Lievens, M.; Savenije, H.; Luxemburg, W.

    2010-12-01

    The phase lag between the moment of high water and high water slack, respectively low water and low water slack, is a key parameter in tidal hydraulics which is often disregarded. Savenije (1992) found that there are simple analytical relations for estuary topography, wave celerity and phase lag, that can be derived from the equation for conservation of mass and momentum. At present, methods to determine the phase lag by measuring the moment of tidal slack in the field are often either inadequate or very expensive. To be sure if assumptions made for the analytical derivation are acceptable, measuring the ‘real’ moment of tidal slack in the field is necessary. The method to determine the exact moment of tidal slack, developed in this work, is based on the use of a simple handheld GPS at some locations in the Dutch part of the Scheldt estuary. The GPS device is attached to a shipping lane buoy, which is fixed to the bottom of the estuary with a long chain. The chain gives the buoy enough space for an amplitude of approximately 25 - 30 meters. The GPS device measures the location of the buoy every 30 seconds for a few days. The data from the GPS results in a nice view of the path that the buoy travelled. The moment that the buoy switches direction, should be the moment of tidal slack. The “GPS method” of measuring the phase lag would allow application on full estuary scale in the future. Besides that, we get more insight in the key parameter of slack times for tidal hydraulics. The results are also of key importance to commercial shipping, towage and salvage companies and other users of estuaries worldwide.

  4. Ocean Observing Public-Private Collaboration to Improve Tropical Storm and Hurricane Predictions in the Gulf of Mexico

    NASA Astrophysics Data System (ADS)

    Perry, R.; Leung, P.; McCall, W.; Martin, K. M.; Howden, S. D.; Vandermeulen, R. A.; Kim, H. S. S.; Kirkpatrick, B. A.; Watson, S.; Smith, W.

    2016-02-01

    In 2008, Shell partnered with NOAA to explore opportunities for improving storm predictions in the Gulf of Mexico. Since, the collaboration has grown to include partners from Shell, NOAA National Data Buoy Center and National Center for Environmental Information, National Center for Environmental Prediction, University of Southern Mississippi, and the Gulf of Mexico Coastal Ocean Observing System. The partnership leverages complementary strengths of each collaborator to build a comprehensive and sustainable monitoring and data program to expand observing capacity and protect offshore assets and Gulf communities from storms and hurricanes. The program combines in situ and autonomous platforms with remote sensing and numerical modeling. Here we focus on profiling gliders and the benefits of a public-private partnership model for expanding regional ocean observing capacity. Shallow and deep gliders measure ocean temperature to derive ocean heat content (OHC), along with salinity, dissolved oxygen, fluorescence, and CDOM, in the central and eastern Gulf shelf and offshore. Since 2012, gliders have collected 4500+ vertical profiles and surveyed 5000+ nautical miles. Adaptive sampling and mission coordination with NCEP modelers provides specific datasets to assimilate into EMC's coupled HYCOM-HWRF model and 'connect-the-dots' between well-established Eulerian metocean measurements by obtaining (and validating) data between fixed stations (e.g. platform and buoy ADCPs) . Adaptive sampling combined with remote sensing provides satellite-derived OHC validation and the ability to sample productive coastal waters advected offshore by the Loop Current. Tracking coastal waters with remote sensing provides another verification of estimate Loop Current and eddy boundaries, as well as quantifying productivity and analyzing water quality on the Gulf coast, shelf break and offshore. Incorporating gliders demonstrates their value as tools to better protect offshore oil and gas assets and the greater Gulf coast communities from storms and hurricanes. Data collected under the collaboration, along with deployment of gliders, will have long-term benefits in helping to understand the ecological and environmental health of the Gulf by monitoring real-time annual and seasonal physical variability.

  5. A global atlas of GEOS-3 significant waveheight data and comparison of the data with national buoy data

    NASA Technical Reports Server (NTRS)

    Mcmillan, J. D.

    1981-01-01

    The accuracy of the GEOS-3 significant waveheight estimates compared with buoy measurements of significant waveheight were determined. A global atlas of the GEOS-3 significant waveheight estimates gathered is presented. The GEOS-3 significant waveheight estimation algorithm is derived by analyzing the return waveform characteristics of the altimeter. Convergence considerations are examined, the rationale for a smoothing technique is presented and the convergence characteristics of the smoothed estimate are discussed. The GEOS-3 data are selected for comparison with buoy measurements. The GEOS-3 significant waveheight estimates are assembled in the form of a global atlas of contour maps. Both high and low sea state contour maps are presented, and the data are displayed both by seasons and for the entire duration of the GEOS-3 mission.

  6. OceanSITES format and Ocean Observatory Output harmonisation: past, present and future

    NASA Astrophysics Data System (ADS)

    Pagnani, Maureen; Galbraith, Nan; Diggs, Stephen; Lankhorst, Matthias; Hidas, Marton; Lampitt, Richard

    2015-04-01

    The Global Ocean Observing System (GOOS) initiative was launched in 1991, and was the first step in creating a global view of ocean observations. In 1999 oceanographers at the OceanObs conference envisioned a 'global system of eulerian observatories' which evolved into the OceanSITES project. OceanSITES has been generously supported by individual oceanographic institutes and agencies across the globe, as well as by the WMO-IOC Joint Technical Commission for Oceanography and Marine Meteorology (under JCOMMOPS). The project is directed by the needs of research scientists, but has a strong data management component, with an international team developing content standards, metadata specifications, and NetCDF templates for many types of in situ oceanographic data. The OceanSITES NetCDF format specification is intended as a robust data exchange and archive format specifically for time-series observatory data from the deep ocean. First released in February 2006, it has evolved to build on and extend internationally recognised standards such as the Climate and Forecast (CF) standard, BODC vocabularies, ISO formats and vocabularies, and in version 1.3, released in 2014, ACDD (Attribute Convention for Dataset Discovery). The success of the OceanSITES format has inspired other observational groups, such as autonomous vehicles and ships of opportunity, to also use the format and today it is fulfilling the original concept of providing a coherent set of data from eurerian observatories. Data in the OceanSITES format is served by 2 Global Data Assembly Centres (GDACs), one at Coriolis, in France, at ftp://ftp.ifremer.fr/ifremer/oceansites/ and one at the US NDBC, at ftp://data.ndbc.noaa.gov/data/oceansites/. These two centres serve over 26,800 OceanSITES format data files from 93 moorings. The use of standardised and controlled features enables the files held at the OceanSITES GDACs to be electronically discoverable and ensures the widest access to the data. The OceanSITES initiative has always been truly international, and in Europe the first project to include OceanSITES as part of its outputs was ANIMATE(2002-2005), where 3 moorings and 5 partners shared equipment, methods and analysis effort and produced their final outputs in OceanSITES format. Subsequent European projects, MERSEA(2004-2008) and EuroSITES (2008-2011) built on that early success and the current European project FixO3 encompasses 23 moorings and 29 partners, all of whom are committed to producing data in OceanSITES format. The global OceanSITES partnership continues to grow; in 2014 the Australian Integrated Marine Observing System ( IMOS) started delivering data to the OceanSITES FTP, and files and India, South Korea and Japan are also active members of the OceanSITES community. As illustrated in figure 1 the OceanSITES sites cover the entire globe, and the format has now matured enough to be taken up by other user groups. GO-SHIP, a global, ship-based hydrographic program, shares technical management with OceanSITES through JCOMMOPS, and has its roots in WOCE Hydrography. This program complements OceanSITES and directly contributes to the mooring data holdings by providing repeated CTD and bottle profiles at specific locations. GO-SHIP hydrographic data adds a source of timeseries profiles and are provided in the OceanSITES file structure to facilitate full data interoperability. GO-SHIP has worked closely with the OceanSITES program, and this interaction has produced an unexpected side benefit - all data in the GO-SHIP database will be offered the robust and CF-compliant OceanSITES format beginning in 2015. The MyOcean European ocean monitoring and forecasting project has been in existence since 2009, and has successfully used the OceanSITES format as a unifying paradigm. MyOcean daily receives hundreds of data files from across Europe, and distributes the data from drifter buoys, moorings and tide gauges in OceanSITES format. These in-situ data are essential for both model verification points and for assimilation into the models. The use of the OceanSITES format now exceeds the hopes and expectations of the original OceanObs vision in 1999 and the stewardship of the format development, extension and documentation is in the expert care of the international OceanSITES Data Management Team. PIC Figure 1

  7. 33 CFR 110.179 - Skidaway River, Isle of Hope, Ga.

    Code of Federal Regulations, 2014 CFR

    2014-07-01

    ... anchorage ground. An area in Skidaway River beginning at a point on the mean low water line 400 feet south of Brady Boat Works, thence 76°30′, 300 feet to a buoy; thence 152°30′, 900 feet to a buoy; thence 251°00′, 450 feet to the mean low water line at Wymberly Yacht Club dock. (b) The regulations. (1...

  8. 33 CFR 110.179 - Skidaway River, Isle of Hope, Ga.

    Code of Federal Regulations, 2011 CFR

    2011-07-01

    ... anchorage ground. An area in Skidaway River beginning at a point on the mean low water line 400 feet south of Brady Boat Works, thence 76°30′, 300 feet to a buoy; thence 152°30′, 900 feet to a buoy; thence 251°00′, 450 feet to the mean low water line at Wymberly Yacht Club dock. (b) The regulations. (1...

  9. 33 CFR 110.179 - Skidaway River, Isle of Hope, Ga.

    Code of Federal Regulations, 2012 CFR

    2012-07-01

    ... anchorage ground. An area in Skidaway River beginning at a point on the mean low water line 400 feet south of Brady Boat Works, thence 76°30′, 300 feet to a buoy; thence 152°30′, 900 feet to a buoy; thence 251°00′, 450 feet to the mean low water line at Wymberly Yacht Club dock. (b) The regulations. (1...

  10. 33 CFR 110.179 - Skidaway River, Isle of Hope, Ga.

    Code of Federal Regulations, 2013 CFR

    2013-07-01

    ... anchorage ground. An area in Skidaway River beginning at a point on the mean low water line 400 feet south of Brady Boat Works, thence 76°30′, 300 feet to a buoy; thence 152°30′, 900 feet to a buoy; thence 251°00′, 450 feet to the mean low water line at Wymberly Yacht Club dock. (b) The regulations. (1...

  11. Wave Evolution in River Mouths and Tidal Inlets

    DTIC Science & Technology

    2014-06-01

    Monterey Bay by a Datawell Buoy (blue) and three collocated WRD buoys (red). Also shown is the f −4 spectral roll off (black dashed). .............. 48...f −4 spectral roll off (black dashed) and the blocking frequency in regions B-E. .................................................... 53   Figure...Significant Wave Height Hz hertz IMU Inertial measurement unit JONSWAP Joint North Sea Wave Program km kilometer MCR Mouth of the Columbia River MEMS

  12. An Integrated Network of In situ and Remote Sensors to Characterize the Somali Current

    DTIC Science & Technology

    2015-09-30

    streams for assimilation into numerical models • Introduce oceanography as an applied science to the Government of the Seychelles APPROACH...by U.S. Navy assets, indigenous Seychelles fishing vessels and by the Royal Australian Navy (RAN) during this period of performance. Figure (1...depicts a buoy deployment evolution in June 2015 and is representative of most deployments. Miniature wave buoy deployment dates:  Seychelles

  13. Development and testing of a novel subsea production system and control buoy

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    NONE

    1997-04-01

    The remoteness of Australia`s northwest shelf presents challenges for the economic viability of offshore resource-development projects. Accordingly, the East Spar development has been designed to minimize capital and life-cycle costs to ensure the long-term viability of this offshore gas field. The offshore facilities are made up of a novel unmanned navigation, communication, and control (NCC) buoy linked to a subsea-production system that includes heat exchangers, insert-retrievable choke valves, multiphase flow-meters, and an on-line pipeline-corrosion monitoring system. The technological building blocks for field development are industry proved. However, the novel arrangement of this proven technology into a remotely controlled, self-contained, minimum-maintenancemore » unmanned facility is unique and has led to many challenges during the design and testing of the NCC buoy and subsea facilities. Among these challenges has been the formulation of an integration test program of the NCC buoy and subsea hardware that proves, as far as reasonably possible, the complete functionality of each equipment item and interface, subject to constraints imposed by schedule, cost, and logistics. Integration testing is particularly important to confirm that the offshore facilities will operate as designed with sufficient reliability and system redundancy to ensure continuous operation throughout the 20-year field life.« less

  14. Scaling Observations of Surface Waves in the Beaufort Sea

    DTIC Science & Technology

    2016-04-14

    the treatment of wind input can be improved in partial ice cover using the ice concentration, where wave energy is a function of open water distance...drifting buoys during the 2014 open water season, are interpreted using open water distances determined from satellite ice products and wind forcing time...series measured in situ with the buoys. A significant portion of the wave observations were found to be limited by open water distance (fetch) when

  15. Boussinesq Modeling of Wave Propagation and Runup over Fringing Coral Reefs, Model Evaluation Report

    DTIC Science & Technology

    2007-12-01

    60 Figure 58. Wave climate recorded by CDIP Sta 121 at Ipan in October 2005...buoy installed by the Coastal Data Information Program ( CDIP ) of Scripps Institution of Oceanography provided data on the incident wave conditions. The...buoy ( CDIP Sta 121) is located in 200 m of water at 13.3542°N, 144.7883°E, approximately 2.4 km southeast of the instrumentation transect. The

  16. Enhancement of the United States Naval Academy (USNA) Polar Science Program (PSP)

    DTIC Science & Technology

    2013-09-30

    buoy hull design was designed, modeled , and tested. And initial analysis was performed on the NAICEX snow and ice data by midshipmen. RESULTS...to help better understand how the IABP buoys are performing (Fig. 4). The near real time webcam information has proved extremely beneficial for... IABP ). Mishipman Julia Zook works with University of Washington Engineer Jim Johnson on the IK3T during her summer internship to Barrow, AK

  17. UpTempO Buoys for Understanding and Predictions

    DTIC Science & Technology

    2016-02-28

    fall cooling, and interannually as sea ice retreats and the warming season lengthens. The effort was a contribution to the multi-investigator ONR...relationships between sea ice retreat and upper ocean warming. ACCOMPLISHED I. Buoy deployments and data: We worked with the Pacific Gyre (PG...have for the first time investigated the daily variation in ice edge retreat speed from a pan-arctic perspective. We have found that the pace of ice

  18. The Feasibility of Sodar Wind Profile Measurements from an Oceanographic Buoy

    DTIC Science & Technology

    2006-09-01

    Brown and Hwang ,1997; Graber et. al., 2000). Waves can be measured from the ASIS buoy using a six-element array of capacitance wave staffs...turbine wakes measured by sodar. Journal of Atmospheric and Oceanic Technology., 20, 466-477. Brown , Robert G. and Patrick Y.C. Hwang (1997...Introduction to random signals and applied Kalman filtering, 3rd ed., J. Wiley. Clay, Clarence S., Herman Medwin (1977): Acoustical Oceanography, J. Wiley

  19. Automated calculation of surface energy fluxes with high-frequency lake buoy data

    USGS Publications Warehouse

    Woolway, R. Iestyn; Jones, Ian D; Hamilton, David P.; Maberly, Stephen C; Muroaka, Kohji; Read, Jordan S.; Smyth, Robyn L; Winslow, Luke A.

    2015-01-01

    Lake Heat Flux Analyzer is a program used for calculating the surface energy fluxes in lakes according to established literature methodologies. The program was developed in MATLAB for the rapid analysis of high-frequency data from instrumented lake buoys in support of the emerging field of aquatic sensor network science. To calculate the surface energy fluxes, the program requires a number of input variables, such as air and water temperature, relative humidity, wind speed, and short-wave radiation. Available outputs for Lake Heat Flux Analyzer include the surface fluxes of momentum, sensible heat and latent heat and their corresponding transfer coefficients, incoming and outgoing long-wave radiation. Lake Heat Flux Analyzer is open source and can be used to process data from multiple lakes rapidly. It provides a means of calculating the surface fluxes using a consistent method, thereby facilitating global comparisons of high-frequency data from lake buoys.

  20. Evaluating Surface Radiation Fluxes Observed From Satellites in the Southeastern Pacific Ocean

    NASA Astrophysics Data System (ADS)

    Pinker, R. T.; Zhang, B.; Weller, R. A.; Chen, W.

    2018-03-01

    This study is focused on evaluation of current satellite and reanalysis estimates of surface radiative fluxes in a climatically important region. It uses unique observations from the STRATUS Ocean Reference Station buoy in a region of persistent marine stratus clouds 1,500 km off northern Chile during 2000-2012. The study shows that current satellite estimates are in better agreement with buoy observations than model outputs at a daily time scale and that satellite data depict well the observed annual cycle in both shortwave and longwave surface radiative fluxes. Also, buoy and satellite estimates do not show any significant trend over the period of overlap or any interannual variability. This verifies the stability and reliability of the satellite data and should make them useful to examine El Niño-Southern Oscillation variability influences on surface radiative fluxes at the STRATUS site for longer periods for which satellite record is available.

  1. Development and Test of an Infrastructure Free Real-Time Water Level Measurement System

    NASA Astrophysics Data System (ADS)

    Breuer, E. R.; Heitsenrether, R.; Hensley, W., III; Krug, W.; Wolcott, D.

    2016-02-01

    NOAA's Center for Operational Oceanographic Products and Services (CO-OPS) is responsible for developing and maintaining the National Water Level Observation Network (NWLON). NWLON consists of over 200 long term observatories that provide near real-time, 6 minute average, water level observations from locations throughout all U.S. coasts. CO-OPS continually analyzes state-of-the-art and emerging technologies to identify potential improvements in data quality and operating efficiency. NOAA, recognizing the changing conditions, anticipates a critical need for real time oceanographic and meteorological observations where traditional approaches are less feasible. CO-OPS is working on the design, development and testing of a real-time tidal measurement system, "The Hermit," for use in coastal regions. The latest prototype has recently completed a successful 3 month field test deployment in the St Andrews Sound region of Georgia, a location where relatively few long term water level records have been collected to date. The test location provided unique challenges such as having a very limited coastal infrastructure and experiencing a 7-8 foot tidal range. The Hermit consists of a bottom mounted pressure/conductivity/temperature sensor (Seabird SBE 26+) and a surface communications buoy which are linked via acoustic modems (Link Quest). The surface buoy relays data back to the CO-OPS database in near-real time using an Iridium satellite based communication system. Additionally, the buoy includes an AirMar all-in-one meteorological sensor. In addition to The Hermit deployment, three test GPS bench marks and a tide staff were installed on a nearby coastline to vertically reference water level measurements. During this deployment, The Hermit successfully provided near real-time measurements of bottom pressure, water conductivity and temperature, wind speed and direction, air temperature, and barometric pressure over the 3 month deployment. During the test period, several high wind storm surge events were captured, along with a perigean spring tide. Details of these data along with the system design will be presented along with CO-OPS plans for future operational applications.

  2. Estimates of Single Sensor Error Statistics for the MODIS Matchup Database Using Machine Learning

    NASA Astrophysics Data System (ADS)

    Kumar, C.; Podesta, G. P.; Minnett, P. J.; Kilpatrick, K. A.

    2017-12-01

    Sea surface temperature (SST) is a fundamental quantity for understanding weather and climate dynamics. Although sensors aboard satellites provide global and repeated SST coverage, a characterization of SST precision and bias is necessary for determining the suitability of SST retrievals in various applications. Guidance on how to derive meaningful error estimates is still being developed. Previous methods estimated retrieval uncertainty based on geophysical factors, e.g. season or "wet" and "dry" atmospheres, but the discrete nature of these bins led to spatial discontinuities in SST maps. Recently, a new approach clustered retrievals based on the terms (excluding offset) in the statistical algorithm used to estimate SST. This approach resulted in over 600 clusters - too many to understand the geophysical conditions that influence retrieval error. Using MODIS and buoy SST matchups (2002 - 2016), we use machine learning algorithms (recursive and conditional trees, random forests) to gain insight into geophysical conditions leading to the different signs and magnitudes of MODIS SST residuals (satellite SSTs minus buoy SSTs). MODIS retrievals were first split into three categories: < -0.4 C, -0.4 C ≤ residual ≤ 0.4 C, and > 0.4 C. These categories are heavily unbalanced, with residuals > 0.4 C being much less frequent. Performance of classification algorithms is affected by imbalance, thus we tested various rebalancing algorithms (oversampling, undersampling, combinations of the two). We consider multiple features for the decision tree algorithms: regressors from the MODIS SST algorithm, proxies for temperature deficit, and spatial homogeneity of brightness temperatures (BTs), e.g., the range of 11 μm BTs inside a 25 km2 area centered on the buoy location. These features and a rebalancing of classes led to an 81.9% accuracy when classifying SST retrievals into the < -0.4 C and -0.4 C ≤ residual ≤ 0.4 C categories. Spatial homogeneity in BTs consistently appears as a very important variable for classification, suggesting that unidentified cloud contamination still is one of the causes leading to negative SST residuals. Precision and accuracy of error estimates from our decision tree classifier are enhanced using this knowledge.

  3. Benchmark Modeling of the Near-Field and Far-Field Wave Effects of Wave Energy Arrays

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Rhinefrank, Kenneth E; Haller, Merrick C; Ozkan-Haller, H Tuba

    2013-01-26

    This project is an industry-led partnership between Columbia Power Technologies and Oregon State University that will perform benchmark laboratory experiments and numerical modeling of the near-field and far-field impacts of wave scattering from an array of wave energy devices. These benchmark experimental observations will help to fill a gaping hole in our present knowledge of the near-field effects of multiple, floating wave energy converters and are a critical requirement for estimating the potential far-field environmental effects of wave energy arrays. The experiments will be performed at the Hinsdale Wave Research Laboratory (Oregon State University) and will utilize an array ofmore » newly developed Buoys' that are realistic, lab-scale floating power converters. The array of Buoys will be subjected to realistic, directional wave forcing (1:33 scale) that will approximate the expected conditions (waves and water depths) to be found off the Central Oregon Coast. Experimental observations will include comprehensive in-situ wave and current measurements as well as a suite of novel optical measurements. These new optical capabilities will include imaging of the 3D wave scattering using a binocular stereo camera system, as well as 3D device motion tracking using a newly acquired LED system. These observing systems will capture the 3D motion history of individual Buoys as well as resolve the 3D scattered wave field; thus resolving the constructive and destructive wave interference patterns produced by the array at high resolution. These data combined with the device motion tracking will provide necessary information for array design in order to balance array performance with the mitigation of far-field impacts. As a benchmark data set, these data will be an important resource for testing of models for wave/buoy interactions, buoy performance, and far-field effects on wave and current patterns due to the presence of arrays. Under the proposed project we will initiate high-resolution (fine scale, very near-field) fluid/structure interaction simulations of buoy motions, as well as array-scale, phase-resolving wave scattering simulations. These modeling efforts will utilize state-of-the-art research quality models, which have not yet been brought to bear on this complex problem of large array wave/structure interaction problem.« less

  4. Research and Development of An In-situ Real-time Coastal Monitoring System

    NASA Astrophysics Data System (ADS)

    Deponte, D.; Cecco, R.; Laterza, R.; Medeot, N.; Nair, R.; Viezzoli, D.

    The coastal area is a complex system in which the effects of the forcing terms on the circulation and mixing present a marked space-time variability on widely differing scales. In order to study such a system, it is necessary to monitor continuously, at high frequency, oceanographic and meteorological variables. To meet this need, the OGS has developed a coastal meteo-oceanographic buoy, called MAMBO, constituted by a float, a hull, a tripod and a powering system based on batteries recharged by so- lar panels that have been expressly designed and assembled by an in-house technical team. The buoy is equipped with a mechanical winch driving a multi-parametric pro- filing probe which provides data on pressure, temperature, salinity, dissolved oxygen, chlorophyll, pH and turbidity over the entire water column. Meteorological data (air temperature, barometric pressure and wind) are also measured. Data are acquired ev- ery 3 hours and transmitted via GSM cellular phone to a receiving station at the OGS in real-time where they are automatically subjected to a first level quality-check and made available to the public at the OGS web site. The buoy also serves as a convenient platform for a separate OGS-developed controller that manages an upward-looking ADCP-600kHz positioned on the sea floor close to the buoy. This controller regu- lates the ADCP power supply and permits the real-time transmission of pressure and current data to land via GSM cellular phone. Since there are no limitations due to bat- teries or memory capacity, currents can be sampled at high spatial and time resolution. Moreover, the controller permits to remotely change the configuration of the instru- ment in order to increase, for example, vertical resolution, and eventually, to record wave data. The first buoy of this type has been operating in the Gulf of Trieste (North Adriatic Sea) since 1998, and it is being continually improved. Two others, supplied additionally with a GPS, a radiometer and a hygrometer and improved with respect to some mechanical parts, have been deployed since June 2000, in the coastal area to the north of Sardinia (Tyrrhenian Sea). The development of an effective quality control procedure, that can be applied in real-time to the acquired data and that can permit the design of an efficient maintenance program for the buoy sensors, is in progress.

  5. OceanSITES: Sustained Ocean Time Series Observations in the Global Ocean.

    NASA Astrophysics Data System (ADS)

    Weller, R. A.; Gallage, C.; Send, U.; Lampitt, R. S.; Lukas, R.

    2016-02-01

    Time series observations at critical or representative locations are an essential element of a global ocean observing system that is unique and complements other approaches to sustained observing. OceanSITES is an international group of oceanographers associated with such time series sites. OceanSITES exists to promote the continuation and extension of ocean time series sites around the globe. It also exists to plan and oversee the global array of sites in order to address the needs of research, climate change detection, operational applications, and policy makers. OceanSITES is a voluntary group that sits as an Action Group of the JCOMM-OPS Data Buoy Cooperation Panel, where JCOMM-OPS is the operational ocean observing oversight group of the Joint Commission on Oceanography and Marine Meteorology of the International Oceanographic Commission and the World Meteorological Organization. The way forward includes working to complete the global array, moving toward multidisciplinary instrumentation on a subset of the sites, and increasing utilization of the time series data, which are freely available from two Global Data Assembly Centers, one at the National Data Buoy Center and one at Coriolis at IFREMER. One recnet OceanSITES initiative and several results from OceanSITES time series sites are presented. The recent initiative was the assembly of a pool of temperature/conductivity recorders fro provision to OceanSITES sites in order to provide deep ocean temperature and salinity time series. Examples from specific sites include: a 15-year record of surface meteorology and air-sea fluxes from off northern Chile that shows evidence of long-term trends in surface forcing; change in upper ocean salinity and stratification in association with regional change in the hydrological cycle can be seen at the Hawaii time series site; results from monitoring Atlantic meridional transport; and results from a European multidisciplinary time series site.

  6. Indian Island Mooring Project. Phase II. Completion Report.

    DTIC Science & Technology

    1984-03-01

    32151 B 4299 31859 B 3327 31317 C 4460 31138 C 4266 31414 BUOY #2 394572 1532350 BUOY # 5 393784 1532410 ANCHOR A 4987 32457 ANCHOR A 4044 32990 B 4279...WASHINGTON, D. C. 20374 ;- -:r- -.. :;.\\:.,;:.:- ,- ---- :..-.- -.:-:::.:-:". 5 --.:.-..".- ".".--, .S .’---. : ..-. - ... V-.. .... :.. BLOCK 19 (Con’t...NUMBER 5 . MONITORING ORGANIZATION REPORT # FPO-1-84(2) 6a. NAME OF PERFORM. ORG. 6b. OFFICE SYM 7a. NAME OF MONITORING ORGANIZATION Robert Taggart

  7. Mass Balance of Multiyear Sea Ice in the Southern Beaufort Sea

    DTIC Science & Technology

    2013-09-30

    model of MY ice circulation, which is shown in Figure 1. In this model , we consider the Beaufort Sea to consist of four zones defined by mean drift...Arctic Regional Climate Model Simulation Project 3 International Arctic Buoy Program 4 Sea ice Experiment - Dynamic Nature of the Arctic 5Cold...2 Table 2: Datasets compiled to date Geophysical data type Source Time period acquired Buoy tracks IABP 12 hrly position data 1978-2012 Ice

  8. Summer 1983 Leeway Drift Experiment.

    DTIC Science & Technology

    1985-08-01

    used as the basis for the SAR Manual’s recommendation ( Scobie and Thompson, 1979). The RFD raft was deflected to the right or left of the wind...a leeway study for undrogued, canopied life rafts ( Scobie and Thompson, 1979). The current was measured by a buoy equipped with a 10-foot (3 m...recommendation for the canopied rafts with deep-draft ballast systems is based on data using a buoy with a 10-foot (3-m) square window-shade drogue ( Scobie

  9. Drones for Provision of Flotation Support in Simulated Drowning.

    PubMed

    Bäckman, Anders; Hollenberg, Jacob; Svensson, Leif; Ringh, Mattias; Nordberg, Per; Djärv, Therese; Forsberg, Sune; Hernborg, Olof; Claesson, Andreas

    The feasibility and potential of using drones for providing flotation devices in cases of drowning have not yet been assessed. We hypothesize that a drone carrying an inflatable life buoy is a faster way to provide flotation compared with traditional methods. The purpose of this study is to explore the feasibility and efficiency of using a drone for delivering and providing flotation support to conscious simulated drowning victims. A simulation study was performed with a simulated drowning victim 100 m from the shore. A drone (DJI Phantom 4; dji, Shenzhen, China) equipped with an inflatable life buoy of 60 N was compared with traditional surf rescue swimming for providing flotation. The primary outcome was delay (minutes:seconds). A total number of 30 rescues were performed with a median time to delivery of the floating device of 30 seconds (interquartile range [IQR] = 24-32 seconds) for the drone compared with 65 seconds (IQR = 60-77 seconds) with traditional rescue swimming (P < .001). The drone had an accuracy of 100% in dropping the inflatable life buoy < 5 m from the victim, with a median of 1 m (IQR = 1-2 m). Using drones to deliver inflatable life buoys is safe and may be a faster method to provide early flotation devices to conscious drowning victims compared with rescue swimming. Copyright © 2018 Air Medical Journal Associates. Published by Elsevier Inc. All rights reserved.

  10. Continuous Wavelet Transform Analysis of Acceleration Signals Measured from a Wave Buoy

    PubMed Central

    Chuang, Laurence Zsu-Hsin; Wu, Li-Chung; Wang, Jong-Hao

    2013-01-01

    Accelerometers, which can be installed inside a floating platform on the sea, are among the most commonly used sensors for operational ocean wave measurements. To examine the non-stationary features of ocean waves, this study was conducted to derive a wavelet spectrum of ocean waves and to synthesize sea surface elevations from vertical acceleration signals of a wave buoy through the continuous wavelet transform theory. The short-time wave features can be revealed by simultaneously examining the wavelet spectrum and the synthetic sea surface elevations. The in situ wave signals were applied to verify the practicality of the wavelet-based algorithm. We confirm that the spectral leakage and the noise at very-low-frequency bins influenced the accuracies of the estimated wavelet spectrum and the synthetic sea surface elevations. The appropriate thresholds of these two factors were explored. To study the short-time wave features from the wave records, the acceleration signals recorded from an accelerometer inside a discus wave buoy are analysed. The results from the wavelet spectrum show the evidence of short-time nonlinear wave events. Our study also reveals that more surface profiles with higher vertical asymmetry can be found from short-time nonlinear wave with stronger harmonic spectral peak. Finally, we conclude that the algorithms of continuous wavelet transform are practical for revealing the short-time wave features of the buoy acceleration signals. PMID:23966188

  11. Advanced, High Power, Next Scale, Wave Energy Conversion Device

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Mekhiche, Mike; Dufera, Hiz; Montagna, Deb

    2012-10-29

    The project conducted under DOE contract DE‐EE0002649 is defined as the Advanced, High Power, Next Scale, Wave Energy Converter. The overall project is split into a seven‐stage, gated development program. The work conducted under the DOE contract is OPT Stage Gate III work and a portion of Stage Gate IV work of the seven stage product development process. The project effort includes Full Concept Design & Prototype Assembly Testing building on our existing PowerBuoy technology to deliver a device with much increased power delivery. Scaling‐up from 150kW to 500kW power generating capacity required changes in the PowerBuoy design that addressedmore » cost reduction and mass manufacturing by implementing a Design for Manufacturing (DFM) approach. The design changes also focused on reducing PowerBuoy Installation, Operation and Maintenance (IO&M) costs which are essential to reducing the overall cost of energy. In this design, changes to the core PowerBuoy technology were implemented to increase capability and reduce both CAPEX and OPEX costs. OPT conceptually envisaged moving from a floating structure to a seabed structure. The design change from a floating structure to seabed structure would provide the implementation of stroke‐ unlimited Power Take‐Off (PTO) which has a potential to provide significant power delivery improvement and transform the wave energy industry if proven feasible.« less

  12. Gulf of Mexico Coastal Ocean Observing System: The Gulf Component of the U.S. Integrated Ocean Observing System

    NASA Astrophysics Data System (ADS)

    Bernard, L. J.; Moersdorf, P. F.

    2005-05-01

    The United States is developing an Integrated Ocean Observing System (IOOS) as the U.S. component of the international Global Ocean Observing System (GOOS). IOOS consists of: (1) a coastal observing system for the U.S. EEZ, estuaries, and Great Lakes; and (2) a contribution to the global component of GOOS focused on climate and maritime services. The coastal component will consist of: (1) a National Backbone of observations and products from our coastal ocean supported by federal agencies; and (2) contributions of Regional Coastal Ocean Observing Systems (RCOOS). The Gulf of Mexico Coastal Ocean Observing System (GCOOS) is one of eleven RCOOS. This paper describes how GCOOS is progressing as a system of systems to carry out data collection, analysis, product generation, dissemination of information, and data archival. These elements are provided by federal, state, and local government agencies, academic institutions, non-government organization, and the private sector. This end-to-end system supports the seven societal goals of the IOOS, as provided by the U.S. Commission on Ocean Policy: detect and forecast oceanic components of climate variability, facilitate safe and efficient marine operations, ensure national security, manage marine resources, preserve and restore healthy marine ecosystems, mitigate natural hazards, and ensure public health. The initial building blocks for GCOOS include continuing in situ observations, satellite products, models, and other information supported by federal and state government, private industry, and academia. GCOOS has compiled an inventory of such activities, together with descriptions, costs, sources of support, and possible out-year budgets. These activities provide information that will have broader use as they are integrated and enhanced. GCOOS has begun that process by several approaches. First, GCOOS has established a web site (www.gcoos.org) which is a portal to such activities and contains pertinent information regarding GCOOS. Second, GCOOS began two years ago sharing data and information. As a prime example, most real-time physical data now collected in the region are transferred to the National Oceanic and Atmospheric Administration's National Data Buoy Center (NDBC), where they are quality controlled and further distributed nationally and internationally so that they may be used by anyone preparing analyses or forecasts. As the system expands, non-physical data collected in real-time will be added to this system. Many organizations have installed OPeNDAP data servers to facilitate ease of access and standard transfer of data as provided by the initial IOOS guidance. In addition to a description of extant observing system elements that compromise GCOOS, this paper will describe the process for each RCOOS to become a certified Regional Association. This certification process is stakeholder driven, provides an approved Governance Plan and an approved Business Plan (i.e., organization structure, five year spending plan, standards protocols, and technology transfer). Plans to move GCOOS toward certification will be given. A Memorandum of Agreement (MoA) to develop GCOOS and to begin that development by sharing of non-commercial, non-proprietary data and products has been approved at a Stakeholders meeting in New Orleans, Louisiana, during January 2005. Qualified organizations and individuals are encouraged to become Parties to the Regional Association by signing the MoA.

  13. Sediment-transport events on the northern California continental shelf during the 1990 1991 STRESS experiment

    NASA Astrophysics Data System (ADS)

    Sherwood, C. R.; Butman, B.; Cacchione, D. A.; Drake, D. E.; Gross, T. F.; Sternberg, R. W.; Wiberg, P. L.; Williams, A. J.

    1994-08-01

    Measurements of currents and light transmission were made at bottom tripods and moorings arrayed across the northern California continental shelf along the Coastal Ocean Dynamics Experiment (CODE) "C" transect as part of the 1990-1991 Sediment Transport Events on Shelves and Slopes (STRESS) experiment. In combination with meteorological and wave data from the National Data Buoy Center Buoy 46013, these measurements provide information about the physical forcing and resultant resuspension and transport of bottom material between 21 November and 8 March. Sixteen events were identified in the wave, wind and current-meter records for this period. Only two were local storms with southerly winds, but they caused about half of the seasonal net transport. Seven were swell events that combined long-period waves generated by distant storms with local currents. At the 90-m site, swells interacted with the mean northward flow to produce northward transport. During six northerly wind events, upwelling-favorable winds often were sufficient to slow or reverse the mean northward flow and thus caused southward transport. A single current event, which produced moderate southward transport, was observed at the 130-m site. Net transport during the winter experiment was offshore at all sites, northward at the inner- and mid-shelf sites, but southward at the outer-shelf site. The results suggest that local storms with southerly winds may dominate seasonal transport, as on the Washington shelf, but significant transport also can occur during fair weather and during periods of northerly winds.

  14. Integrated Observations From Fixed and AUV Platforms in the Littoral Zone at the SFOMC Coastal Ocean Observatory

    NASA Astrophysics Data System (ADS)

    Dhanak, M. R.

    2001-12-01

    A 12-hour survey of the coastal waters off the east coast of Florida at the South Florida Ocean Measurement Center (SFOMC) coastal ocean observatory, during summer 1999, is described to illustrate the observatory's capabilities for ocean observation. The facility is located close to the Gulf Stream, the continental shelf break being only 3 miles from shore and is therefore influenced by the Gulf Stream meanders and the instability of the horizontal shear layer at its edge. As a result, both cross-shelf and along-shelf components of currents in the littoral zone can undergo dramatic +/- 0.5 m/s oscillations. Observations of surface currents from an OSCR, and of subsurface structure from an autonomous underwater vehicle (AUV) platform, a bottom-mounted ADCP and CT-chain arrays during the survey will be described and compared. The AUV on-board sensors included upward and downward looking 1200kHz ADCP, a CTD package and a small-scale turbulence package, consisting of two shear probes and a fast-response thermistor. Prevailing atmospheric conditions were recorded at an on-site buoy. The combined observations depict flows over a range of scales. Acknowledgements: The observations from the OSCR are due to Nick Shay and Tom Cook (University of Miami), and from the bottom-mounted ADCP, CT chain arrays and the surface buoy are due to Alex Soloviev (Nova Southeastern University) and Mark Luther and Bob Weisberg (University of South Florida).

  15. Calibration of Sea Ice Motion from QuikSCAT with those from SSM/I and Buoy

    NASA Technical Reports Server (NTRS)

    Liu, Antony K.; Zhao, Yun-He; Zukor, Dorothy J. (Technical Monitor)

    2001-01-01

    QuikSCAT backscatter and DMSP SSM/I radiance data are used to derive sea ice motion for both the Arctic and Antarctic region using wavelet analysis method. This technique provides improved spatial coverage over the existing array of Arctic Ocean buoys and better temporal resolution over techniques utilizing satellite data from Synthetic Aperture Radar (SAR). Sea ice motion of the Arctic for the period from October 1999 to March 2000 derived from QuikSCAT and SSM/I data agrees well with that derived from ocean buoys quantitatively. Thus the ice tracking results from QuikSCAT and SSM/I are complement to each other, Then, three sea-ice drift daily results from QuikSCAT, SSM/I, and buoy data can be merged to generate composite maps with more complete coverage of sea ice motion than those from single data source. A series of composite sea ice motion maps for December 1999 show that the major circulation patterns of sea ice motion are changing and shifting significantly within every four days and they are dominated by wind forcing. Sea-ice drift in the summer can not be derived from NSCAT and SSM/I data. In later summer of 1999 (in September), however, QuikSCAT data can provide good sea ice motion information in the Arctic. QuiksCAT can also provide at least partial sea ice motion information until June 15 in early summer 1999. For the Antarctic, case study shows that sea ice motion derived from QuikSCAT data is predominantly forced by and is consistent with wind field derived from QuikSCAT around the polar region. These calibrated/validated results indicate that QuikSCAT, SSM/I, and buoy merged daily ice motion are suitably accurate to identify and closely locate sea ice processes, and to improve our current knowledge of sea ice drift and related processes through the data assimilation of ocean-ice numerical model.

  16. Rip current monitoring using GPS buoy system

    NASA Astrophysics Data System (ADS)

    Song, DongSeob; Kim, InHo; Kang, DongSoo

    2014-05-01

    The occurrence of rip current in the Haeundae beach, which is one of the most famous beaches in South Korea, has been threatening beach-goers security in summer season annually. Many coastal scientists have been investigating rip currents by using field observations and measurements, laboratory measurements and wave tank experiments, and computer and numerical modeling. Rip current velocity is intermittent and may rapidly increase within minutes due to larger incoming wave groups or nearshore circulation instabilities. It is important to understand that changes in rip current velocity occur in response to changes in incoming wave height and period as well as changes in water level. GPS buoys have been used to acquire sea level change data, atmospheric parameters and other oceanic variables in sea for the purposes of vertical datum determination, tide correction, radar altimeter calibration, ocean environment and marine pollution monitoring. Therefore, we adopted GPS buoy system for an experiment which is to investigate rip current velocity; it is sporadic and may quickly upsurge within minutes due to larger arriving wave groups or nearshore flow uncertainties. In this study, for high accurate positioning of buy equipment, a Satellite Based Argumentation System DGPS data logger was deployed to investigate within floating object, and it can be acquired three-dimensional coordinate or geodetic position of buoy with continuous NMEA-0183 protocol during 24 hours. The wave height measured by in-situ hydrometer in a cross-shore array clearly increased before and after occurrence of rip current, and wave period also was lengthened around an event. These results show that wave height and period correlate reasonably well with long-shore current interaction in the Haeundae beach. Additionally, current meter data and GPS buoy data showed that rip current velocities, about 0.2 m/s, may become dangerously strong under specific conditions. Acknowledgement This research was supported by Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology(2010-0024670)

  17. Towards Improved Forecasts of Atmospheric and Oceanic Circulations over the Complex Terrain of the Eastern Mediterranean

    NASA Technical Reports Server (NTRS)

    Chronis, Themis; Case, Jonathan L.; Papadopoulos, Anastasios; Anagnostou, Emmanouil N.; Mecikalski, John R.; Haines, Stephanie L.

    2008-01-01

    Forecasting atmospheric and oceanic circulations accurately over the Eastern Mediterranean has proved to be an exceptional challenge. The existence of fine-scale topographic variability (land/sea coverage) and seasonal dynamics variations can create strong spatial gradients in temperature, wind and other state variables, which numerical models may have difficulty capturing. The Hellenic Center for Marine Research (HCMR) is one of the main operational centers for wave forecasting in the eastern Mediterranean. Currently, HCMR's operational numerical weather/ocean prediction model is based on the coupled Eta/Princeton Ocean Model (POM). Since 1999, HCMR has also operated the POSEIDON floating buoys as a means of state-of-the-art, real-time observations of several oceanic and surface atmospheric variables. This study attempts a first assessment at improving both atmospheric and oceanic prediction by initializing a regional Numerical Weather Prediction (NWP) model with high-resolution sea surface temperatures (SST) from remotely sensed platforms in order to capture the small-scale characteristics.

  18. Terrestrial applications of FEP-encapsulated solar cell modules. [power systems using Fluorinated Ethylene Propylene encapsulation

    NASA Technical Reports Server (NTRS)

    Forestieri, A. F.; Ratajczak, A. F.

    1974-01-01

    The NASA-Lewis Research Center program of transferring the FEP-encapsulated solar cell technology developed for the space program to terrestrial applications is presented. The electrical power system design and the array mechanical design are described, and power systems being tested are discussed. The latter are located at NOAA-RAMOS weather stations at Sterling, Va., and Mammoth Mountain, Calif.; on the roof of the Lewis Research Center; on a NOAA-Coast Guard buoy in the Gulf of Mexico; in a U.S. Forest Service mountaintop voice repeater station in the Inyo National Forest, Calif., and in a backpack charger for portable transmitter/receivers being used in the same place. Preliminary results of testing are still incomplete, but show that rime ice can cause cracks in modular cells without damaging the FEP though, which keeps the grid lines intact, and that electrically active elements of the module must be completely sealed from salt water to prevent FEP delamination.

  19. Wave Field Characterization Using Dual-Polarized Pulse-Doppler X-Band Radar

    DTIC Science & Technology

    2012-06-01

    spectrum (frequencies higher than that associated with the wind wave peak) are similar for the buoy and Doppler, and likewise for the ultrasound array and...values of the RCS and ultrasound array relative to the buoy and Doppler are due to the formers’ larger energy levels at high frequencies. NSWCCD-50-TR...pp. 199- 203, 2008. [II] W. J. Plant, W. C. Keller, A. B. Reeves, E. A. Uliana, and J. W. Johnson, " Airborne microwave Doppler measurements of

  20. Observations of Inertio-Gravity Waves in the Wake of Hurricane Frederic.

    DTIC Science & Technology

    1983-12-01

    Prederic passed within 80 to 130 km .4.1-4, 13 S4 W. W. of the array sites (Fig. 1) at 2100 GMT 12 September. Five hours later, Frederic made landfall... Prederic from a GOES satellite at 2001 GMT 12 September clearly delineates a well developed eye of about • % 140 tc 50 km in diameter (Figure 2). The...Renvick, 1981, Buoy observations during the passage of hurricane Prederic 1979, Data Report, NOA Data Buoy Cffice, NSTL Station, Hississippi. Kase, R. H

  1. A SHALLOW WATER ISOBARIC BUOY.

    DTIC Science & Technology

    The genesis, development, and testing of an instrument for following currents in shallow waters is described. The volume of the ’shallow water ...isobaric buoy’ (SWIB) varies in response to pressure signals derived from the depth of the water in which the instrument floats. Mechanisms for auto...indicate the feasibility of the system. The instrument can hover in a relatively restricted horizontal layer. The instrument may find application as a water stability indicator as well as a shallow water current tag. (Author)

  2. Development and Evaluation of New Algorithms for the Retrieval of Wind and Internal Wave Parameters from Shipborne Marine Radar Data

    DTIC Science & Technology

    2012-12-01

    traditional buoy measurements , which are based on the analysis of the buoy motion using accelerometer and tilt sensors, is the capacity to detect multi-modal...the radar- based estimates slightly overestimate the measured data. Fig. 6.33 shows a time series of p-p-distances and corresponding water depths as...32 3.5 Time series of wind speed and direction measurements from ship anemome- ters 1 and 2 from

  3. Utilization of space technology for terrestrial solar power applications

    NASA Technical Reports Server (NTRS)

    Yasui, R. K.; Patterson, R. E.

    1974-01-01

    A description is given of the evolution of photovoltaic power systems designed and built for terrestrial applications, giving attention to problem areas which are currently impeding the further development of such systems. The rooftop testing of surplus solar panels is considered along with solar powered seismic observatories, solar powered portable radio sets, and design considerations identified from past experience. Present activities discussed are related to a solar powered on-shore beacon flasher system, a solar powered buoy, and a solar powered beacon flasher buoy.

  4. Sea King SHOL Support for Post-HCM/FELEX HALIFAX Class Ships

    DTIC Science & Technology

    2014-05-01

    correct this, a Network Time Protocol (NTP) time server was installed on two Raspberry - Pi computers3 (one used as a backup). Time was set to GPS time...data is needed, a wave buoy would be deployed for direct measurement. However, the launch & recovery of a 3The Raspberry Pi is an inexpensive credit...card-sized single-board computer developed in the UK by the Raspberry Pi Foundation. DRDC-RDDC-2014-R18 15 wave buoy was not practical in conjunction

  5. WHOI Hawaii Ocean Timeseries Station (WHOTS): WHOTS-3 Mooring Turnaround Cruise Report

    DTIC Science & Technology

    2007-05-01

    ship then maneuvered slowly ahead to allow the buoy to come around to the stem. The winch operator slowly hauled in the slack wire, once the buoy had...Institution and Roger Lukas’ group at the University of Hawaii. The cruise took place between 22 and 29 June 2006. Operations on site were initiated...Griffiths, and a NOAA Hollings Scholar, Terry Smith, participated in the cruise. This report describes the mooring operations , some of the pre-cruise

  6. Displacement of Tethered Hydro-Acoustic Modems by Uniform Horizontal Currents

    DTIC Science & Technology

    2009-12-01

    smooth and plane surfaces (in incompressible flow ) in air and in water (From [4]) ..............22  Figure 13.  Drag of streamline bodies, tested in...from a stationary sea- surface buoy or Unmanned Surface Vehicle (USV) weighted by a dense object at the free end (Figure 2). The equations of static...forces on the free end are caused by an attached ballast or float. The moored cable has a free -moving sub- surface buoy positioned at a water depth

  7. A Field Visibility Comparison between Electroluminescent Sources and Standard U.S. Coast Guard Incandescent Aids-to-Navigation Sources.

    DTIC Science & Technology

    1982-10-01

    this is critical. All buoy and many shore based systems employ back-up systems . In the case of buoys, 4 -when a lamp fails to emit, a new lamp is...88 LIST OF TABLES 1. Incandescent Source Table of Information -------------------- 38 2. Background Information on Subjects...functional aids-to-navigation system . The principal component of this system is the lighted aid which exists in many forms, from the wind and wave

  8. Comparison Between Sea Surface Wind Speed Estimates From Reflected GPS Signals and Buoy Measurements

    NASA Technical Reports Server (NTRS)

    Garrison, James L.; Katzberg, Steven J.; Zavorotny, Valery U.

    2000-01-01

    Reflected signals from the Global Positioning System (GPS) have been collected from an aircraft at approximately 3.7 km altitude on 5 different days. Estimation of surface wind speed by matching the shape of the reflected signal correlation function against analytical models was demonstrated. Wind speed obtained from this method agreed with that recorded from buoys to with a bias of less than 0.1 m/s, and with a standard derivation of 1.3 meters per second.

  9. 50 CFR 648.10 - VMS and DAS requirements for vessel owners/operators.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ..., NATIONAL OCEANIC AND ATMOSPHERIC ADMINISTRATION, DEPARTMENT OF COMMERCE FISHERIES OF THE NORTHEASTERN... Little River Light 44°39.0′ 67°10.5′ 4. Whistle Buoy “8BI” (SSE of Baker Island) 44°13.6′ 68°10.8′ 5... Neddick Light 43°09.9′ 70°34.5′ 10. Merrimack River Entrance “MR” Whistle Buoy 42°48.6′ 70°47.1′ 11...

  10. KSC-04pd1505

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - In the water for a practice dive in the ocean offshore from Key Largo are the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team: (left to right) Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick, John Herrington and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  11. KSC-04pd1501

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - Onboard the dive boat, members of the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission don dive suits. From left are Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick and Doug Wheelock. John Herrington is mission commander. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius offshore from Key Largo - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  12. KSC-04pd1510

    NASA Image and Video Library

    2004-07-11

    KENNEDY SPACE CENTER, FLA. - In the water for a practice dive in the ocean offshore from Key Largo is astronaut John Herrington. He is commander of the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team. The others are Nick Patrick, Doug Wheelock, and Tara Ruttley, a biomedical engineer. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  13. KSC-04pd1504

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - In the water for a practice dive in the ocean offshore from Key Largo is astronaut John Herrington. He is commander of the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team. The others are Nick Patrick, Doug Wheelock, and Tara Ruttley, a biomedical engineer. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  14. Technologies for the marking of fishing gear to identify gear components entangled on marine animals and to reduce abandoned, lost or otherwise discarded fishing gear.

    PubMed

    He, Pingguo; Suuronen, Petri

    2018-04-01

    Fishing gears are marked to establish and inform origin, ownership and position. More recently, fishing gears are marked to aid in capacity control, reduce marine litter due to abandoned, lost or otherwise discarded fishing gear (ALDFG) and assist in its recovery, and to combat illegal, unreported and unregulated (IUU) fishing. Traditionally, physical marking, inscription, writing, color, shape, and tags have been used for ownership and capacity purposes. Buoys, lights, flags, and radar reflectors are used for marking of position. More recently, electronic devices have been installed on marker buoys to enable easier relocation of the gear by owner vessels. This paper reviews gear marking technologies with focus on coded wire tags, radio frequency identification tags, Automatic Identification Systems, advanced electronic buoys for pelagic longlines and fish aggregating devices, and re-location technology if the gear becomes lost. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. Reedsport PB150 Deployment and Ocean Test Project

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    Hart, Phil

    2016-06-03

    As the first utility scale wave power project in the US, the Wave Power Demonstration Project at Reedsport (OR) was planned to consist of 10 PowerBuoys (Phase II)1, located 2.5 miles off the coast. U.S. Department of Energy (DOE) funding under a prior DOE Grant (DE-FG36-08GO88017) along with funding from PNGC Power, an Oregon-based electric power cooperative, was utilized for the design completion, fabrication, assembly and factory testing of the first PowerBuoy for the Reedsport project. The design and fabrication of the first PowerBuoy and factory testing of the power take-off subsystem were completed, and the power take-off subsystem wasmore » successfully integrated into the spar at the fabricator’s facility in Oregon. The objectives of this follow-on grant were: advance PB150B design from TRL 5/6 to TRL 7/8; deploy a single PB150 and operate autonomously for 2 years; establish O&M costs; collect environmental information; and establish manufacturing methodologies.« less

  16. Fall Freeze-up of Sea Ice in the Beaufort-Chukchi Seas Using ERS-1 SAR and Buoy Data

    NASA Technical Reports Server (NTRS)

    Holt, B.; Winebrenner, B.; D., Nelson E.

    1993-01-01

    The lowering of air temperatures below freezing in the fall indicates the end of summer melt and the onset of steady sea ice growth. The thickness and condition of ice that remains at the end of summer has ramifications for the thickness that that ice will attain at the end of the following winter. This period also designates a shifting of key fluxes from upper ocean freshening from ice melt to increased salinity from brine extraction during ice growth. This transitional period has been examined in the Beaufort and Chukchi Seas using ERS-1 SAR imagery and air temperatures from drifting buoys during 1991 and 1992. The SAR imagery is used to examine the condition and types of ice present in this period. Much of the surface melt water has drained off at this time. Air temperatures from drifting buoys coincident in time and within 100 km radius of the SAR imagery have been obtained...

  17. Rollover of Apparent Wave Attenuation in Ice Covered Seas

    NASA Astrophysics Data System (ADS)

    Li, Jingkai; Kohout, Alison L.; Doble, Martin J.; Wadhams, Peter; Guan, Changlong; Shen, Hayley H.

    2017-11-01

    Wave attenuation from two field experiments in the ice-covered Southern Ocean is examined. Instead of monotonically increasing with shorter waves, the measured apparent attenuation rate peaks at an intermediate wave period. This "rollover" phenomenon has been postulated as the result of wind input and nonlinear energy transfer between wave frequencies. Using WAVEWATCH III®, we first validate the model results with available buoy data, then use the model data to analyze the apparent wave attenuation. With the choice of source parameterizations used in this study, it is shown that rollover of the apparent attenuation exists when wind input and nonlinear transfer are present, independent of the different wave attenuation models used. The period of rollover increases with increasing distance between buoys. Furthermore, the apparent attenuation for shorter waves drops with increasing separation between buoys or increasing wind input. These phenomena are direct consequences of the wind input and nonlinear energy transfer, which offset the damping caused by the intervening ice.

  18. The ODAS Italia 1 buoy: More than forty years of activity in the Ligurian Sea

    NASA Astrophysics Data System (ADS)

    Canepa, Elisa; Pensieri, Sara; Bozzano, Roberto; Faimali, Marco; Traverso, Pierluigi; Cavaleri, Luigi

    2015-06-01

    The Ligurian Sea plays a relevant role in driving both the circulation of the Western Mediterranean Sea and the weather and climate of the area. In order to better understand the peculiarities of this basin, the Oceanographic Data Acquisition System (ODAS) Italia 1 buoy was developed and deployed in the early '70s. Throughout the years, the buoy has been fitted with updated measuring and data acquiring systems. Since 2003 the buoy has been part of the Mediterranean Moored Multi-sensor Array network of fixed open ocean observatories with the W1-M3A identifier and presently constitutes one of the Mediterranean sites of the European FixO3 network. Recently, a deep-ocean sub-surface mooring line was, and is, deployed close to it in relation to specific projects. This multidisciplinary observing system is able to perform both long-term operational and ad-hoc monitoring from the lower atmosphere to the deep ocean. It is used for analysis of air-sea interaction processes, study of the physical proprieties of the water column, bio-geo-chemical monitoring of the sea, meteorological and oceanographic model evaluation, calibration of remotely sensed measurements, and development of innovative marine monitoring technologies. After reporting some historical notes and the description of the observing system, this paper summarises and reviews the main oceanographic and atmospheric studies performed during the last 15 years using the data acquired on board.

  19. The accuracy of SST retrievals from AATSR: An initial assessment through geophysical validation against in situ radiometers, buoys and other SST data sets

    NASA Astrophysics Data System (ADS)

    Corlett, G. K.; Barton, I. J.; Donlon, C. J.; Edwards, M. C.; Good, S. A.; Horrocks, L. A.; Llewellyn-Jones, D. T.; Merchant, C. J.; Minnett, P. J.; Nightingale, T. J.; Noyes, E. J.; O'Carroll, A. G.; Remedios, J. J.; Robinson, I. S.; Saunders, R. W.; Watts, J. G.

    The Advanced Along-Track Scanning Radiometer (AATSR) was launched on Envisat in March 2002. The AATSR instrument is designed to retrieve precise and accurate global sea surface temperature (SST) that, combined with the large data set collected from its predecessors, ATSR and ATSR-2, will provide a long term record of SST data that is greater than 15 years. This record can be used for independent monitoring and detection of climate change. The AATSR validation programme has successfully completed its initial phase. The programme involves validation of the AATSR derived SST values using in situ radiometers, in situ buoys and global SST fields from other data sets. The results of the initial programme presented here will demonstrate that the AATSR instrument is currently close to meeting its scientific objectives of determining global SST to an accuracy of 0.3 K (one sigma). For night time data, the analysis gives a warm bias of between +0.04 K (0.28 K) for buoys to +0.06 K (0.20 K) for radiometers, with slightly higher errors observed for day time data, showing warm biases of between +0.02 (0.39 K) for buoys to +0.11 K (0.33 K) for radiometers. They show that the ATSR series of instruments continues to be the world leader in delivering accurate space-based observations of SST, which is a key climate parameter.

  20. Wave parameters comparisons between High Frequency (HF) radar system and an in situ buoy: a case study

    NASA Astrophysics Data System (ADS)

    Fernandes, Maria; Alonso-Martirena, Andrés; Agostinho, Pedro; Sanchez, Jorge; Ferrer, Macu; Fernandes, Carlos

    2015-04-01

    The coastal zone is an important area for the development of maritime countries, either in terms of recreation, energy exploitation, weather forecasting or national security. Field measurements are in the basis of understanding how coastal and oceanic processes occur. Most processes occur over long timescales and over large spatial ranges, like the variation of mean sea level. These processes also involve a variety of factors such as waves, winds, tides, storm surges, currents, etc., that cause huge interference on such phenomena. Measurement of waves have been carried out using different techniques. The instruments used to measure wave parameters can be very different, i.e. buoys, ship base equipment like sonar and satellites. Each equipment has its own advantage and disadvantage depending on the study subject. The purpose of this study is to evaluate the behaviour of a different technology available and presently adopted in wave measurement. In the past few years the measurement of waves using High Frequency (HF) Radars has had several developments. Such a method is already established as a powerful tool for measuring the pattern of surface current, but its use in wave measurements, especially in the dual arrangement is recent. Measurement of the backscatter of HF radar wave provides the raw dataset which is analyzed to give directional data of surface elevation at each range cell. Buoys and radars have advantages, disadvantages and its accuracy is discussed in this presentation. A major advantage with HF radar systems is that they are unaffected by weather, clouds or changing ocean conditions. The HF radar system is a very useful tool for the measurement of waves over a wide area with real-time observation, but it still lacks a method to check its accuracy. The primary goal of this study was to show how the HF radar system responds to high energetic variations when compared to wave buoy data. The bulk wave parameters used (significant wave height, period and direction) were obtained during 2013 and 2014 from one 13.5 MHz CODAR SeaSonde radar station from Hydrographic Institute, located in Espichel Cape (Portugal). These data were compared with those obtained from one wave buoy Datawell Directional Waverider, also from Hydrographic Institute, moored inbound Sines (Portugal) at 100 m depth. For this first approach, was assumed that all the waves are in a deep water situation. Results showed that during high energetic periods, the HF radar system revealed a good correlation with wave buoy data following the bulk wave parameters gradient variations.

  1. Tropical Pacific Observing for the Next Decade

    NASA Astrophysics Data System (ADS)

    Legler, David M.; Hill, Katherine

    2014-06-01

    More than 60 scientists and program officials from 13 countries met at the Scripps Institution of Oceanography for the Tropical Pacific Observing System (TPOS) 2020 Workshop. The workshop, although motivated in part by the dramatic decline of NOAA's Tropical Atmosphere Ocean (TAO) buoy reporting from mid-2012 to early 2014 (see http://www.bloomberg.com/news/2014-03-07/aging-el-nino-buoys-getting-fixed-as-weather-forecasts-at-risk.html), evaluated the needs for tropical Pacific observing and initiated efforts to develop a more resilient and integrative observing system for the future.

  2. Time-Series Measurements of Atmospheric and Oceanic CO2 and O2 in the Western Gulf of Maine

    DTIC Science & Technology

    2008-09-01

    is 2 meters in diameter and 3.5 m tall with a Surlyn foam flotation collar (Gilman Corporation). The Surlyn foam was cut with two chines so that...the flotation in the lightweight foam, the buoy with full 978-1-4244-2620-1/08/$25.00 ©2008 IEEE Report Documentation Page Form ApprovedOMB No. 0704...deployments, necessitating routine servicing (buoy pulled on deck in good weather and cleaned) (Figure 8). Modifications to a 90/10 copper -nickel

  3. A FORTRAN IV Computer Program for the Time Domain Analysis of the Two- Dimensional Dynamic Motions of General Buoy-Cable-Body Systems

    DTIC Science & Technology

    1977-06-01

    SPHEROIDAL BUOYS As mentioned previously, for the limiting case of zero ; educed frequency where tile free surface behaves as a rigid plane, the...4P ) -4 -4 ft O D - % Cdd :# P) fy ou Cd 1d Cd’. . 6 - C3 ’o .. eg S w Cd *g.4C~dI~**II~.a Ký 0 4 : 10 In H-C IV ..4 _ C) bu 0 40 la W C2C W cc lp lqa

  4. Directional wave navigation radar measurements compared with pitch-roll buoy data

    DOE Office of Scientific and Technical Information (OSTI.GOV)

    A.-Munoyerro, M.A.; Borge, J.C.N.

    1997-02-01

    The knowledge of the spectral behavior of a specific sea region is complete when one knows surface elevations and directional wave movements. Usually, sea directional descriptions have been made using pitch-roll buoys, which can provide one with several wave characteristic time series. Alternatively, there are other measure systems, which belong to remote sensing technics, such as shipboard navigation radars. The aim of the present work is to compare results obtained from pitch-roll data and ship radar wave measurements obtained during a campaign in the Cantabric Sea.

  5. Stability Study of the 1978 Jetty Rehabilitation, Yaquina Bay, Oregon, in Response to 1979-1980 Storm Season Waves

    DTIC Science & Technology

    1994-08-01

    n.m.) (11 -km) grid of the Pacific Ocean between latitude 20ON to 60WN and longi- tude 1 10*W to 200*W using the WIS deepwater numerical model DWAVE ...represents a wave travelling towards the north). Comparisons with the DWAVE wind and wave results (Tracy and Payne 1990) were made with NOAA buoy...hindcast using the WIS numerical model DWAVE to the deepwater depth corresponding to the location of the NOAA buoy. Directional spectral infor- mation was

  6. The Santander Atlantic Time-Series Station (SATS): A Time Series combination of a monthly hydrographic Station and The Biscay AGL Oceanic Observatory.

    NASA Astrophysics Data System (ADS)

    Lavin, Alicia; Somavilla, Raquel; Cano, Daniel; Rodriguez, Carmen; Gonzalez-Pola, Cesar; Viloria, Amaia; Tel, Elena; Ruiz-Villareal, Manuel

    2017-04-01

    Long-Term Time Series Stations have been developed in order to document seasonal to decadal scale variations in key physical and biogeochemical parameters. Long-term time series measurements are crucial for determining the physical and biological mechanisms controlling the system. The Science and Technology Ministers of the G7 in their Tsukuba Communiqué have stated that 'many parts of the ocean interior are not sufficiently observed' and that 'it is crucial to develop far stronger scientific knowledge necessary to assess the ongoing changes in the ocean and their impact on economies.' Time series has been classically obtained by oceanographic ships that regularly cover standard sections and stations. From 1991, shelf and slope waters of the Southern Bay of Biscay are regularly sampled in a monthly hydrographic line north of Santander to a depth of 1000 m in early stages and for the whole water column down to 2580 m in recent times. Nearby, in June 2007, the IEO deployed an oceanic-meteorological buoy (AGL Buoy, 43° 50.67'N; 3° 46.20'W, and 40 km offshore, www.boya-agl.st.ieo.es). The Santander Atlantic Time Series Station is integrated in the Spanish Institute of Oceanography Observing Sistem (IEOOS). The long-term hydrographic monitoring has allowed to define the seasonality of the main oceanographic facts as the upwelling, the Iberian Poleward Current, low salinity incursions, trends and interannual variability at mixing layer, and at the main water masses North Atlantic Central Water and Mediterranean Water. The relation of these changes with the high frequency surface conditions recorded by the Biscay AGL has been examined using also satellite and reanalysis data. During the FIXO3 Project (Fixed-point Open Ocean Observatories), and using this combined sources, some products and quality controled series of high interest and utility for scientific purposes has been developed. Hourly products as Sea Surface Temperature and Salinity anomalies, wave significant height character with respect to monthly average, and currents with respect to seasonal averages. Ocean-atmosphere heat fluxes (latent and sensible) are computed from the buoy atmospheric and oceanic measurements. Estimations of the mixed layer depth and bulk series at different water levels are provided in a monthly basis. Quality controlled series are distributed for sea surface salinity, oxygen and chlorophyll data. Some sensors are particularly affected by biofouling, and monthly visits to the buoy permit to follow these sensors behaviour. Chlorophyll-fluorescence sensor is the main concern, but Dissolved Oxygen sensor is also problematic. Periods of realistic smooth variations present strong offset that is corrected based on the Winkler analysis of water samples. Also Wind air temperature and humidilty buoy sensors are monthly compared with the research vessel data. Next step will consist in working on a better validation of the data, mainly ten-year data from the Biscay AGL buoy, but also the 25 year data of the station 7, close to the buoy. Data will be depurated an analyzed and the final product will be published and widening to improve and get the better use of them.

  7. Validation of multi-mission satellite altimetry for the Baltic Sea region

    NASA Astrophysics Data System (ADS)

    Kudryavtseva, Nadia; Soomere, Tarmo; Giudici, Andrea

    2016-04-01

    Currently, three sources of wave data are available for the research community, namely, buoys, modelling, and satellite altimetry. The buoy measurements provide high-quality time series of wave properties but they are deployed only in a few locations. Wave modelling covers large domains and provides good results for the open sea conditions. However, the limitation of modelling is that the results are dependent on wind quality and assumptions put into the model. Satellite altimetry in many occasions provides homogeneous data over large sea areas with an appreciable spatial and temporal resolution. The use of satellite altimetry is problematic in coastal areas and partially ice-covered water bodies. These limitations can be circumvented by careful analysis of the geometry of the basin, ice conditions and spatial coverage of each altimetry snapshot. In this poster, for the first time, we discuss a validation of 30 years of multi-mission altimetry covering the whole Baltic Sea. We analysed data from RADS database (Scharroo et al. 2013) which span from 1985 to 2015. To assess the limitations of the satellite altimeter data quality, the data were cross-matched with available wave measurements from buoys of the Swedish Meteorological and Hydrological Institute and Finnish Meteorological Institute. The altimeter-measured significant wave heights showed a very good correspondence with the wave buoys. We show that the data with backscatter coefficients more than 13.5 and high errors in significant wave heights and range should be excluded. We also examined the effect of ice cover and distance from the land on satellite altimetry measurements. The analysis of cross-matches between the satellite altimetry data and buoys' measurements shows that the data are only corrupted in the nearshore domain within 0.2 degrees from the coast. The statistical analysis showed a significant decrease in wave heights for sea areas with ice concentration more than 30 percent. We also checked and corrected the data for biases between different missions. This analysis provides a unique uniform database of satellite altimetry measurements over the whole Baltic Sea, which can be further used for finding biases in wave modelling and studies of wave climatology. The database is available upon request.

  8. Directional spectra of hurricane-generated waves in the Gulf of Mexico

    NASA Astrophysics Data System (ADS)

    Hu, Kelin; Chen, Qin

    2011-10-01

    Hurricane-induced directional wave spectra in the Gulf of Mexico are investigated based on the measurements collected at 12 buoys during 7 hurricane events in recent years. Focusing on hurricane-generated wave spectra, we only consider the wave measurements at the buoys within eight times the radius of the hurricane maximum wind speed (Rmax) from the hurricane center. A series of numerical experiments using a third-generation spectral wave prediction model were carried out to gain insight into the mechanism controlling the directional and frequency distributions of hurricane wave energy. It is found that hurricane wave spectra are almost swell-dominated except for the right-rear quadrant of a hurricane with respect to the forward direction, where the local strong winds control the spectra. Despite the complexity of a hurricane wind field, most of the spectra are mono-modal, similar to those under fetch-limited, unidirectional winds. However, bi-modal spectra were also found in both measurements and model results. Four types of bi-modal spectra have been observed. Type I happens far away (>6 × Rmax) from a hurricane. Type II is bi-modal in frequency with significant differences in direction. It happens in the two left quadrants when the direction of hurricane winds deviates considerably from the swell direction. Type III is bi-modal in frequency in almost the same wave direction with two close peaks. It occurs when the energy of locally-generated wind-sea is only partially transferred to the swell energy by non-linear wave-wave interactions. Type IV was observed in shallow waters owing to coastal effects.

  9. Releasing of hexabromocyclododecanes from expanded polystyrenes in seawater -field and laboratory experiments.

    PubMed

    Rani, Manviri; Shim, Won Joon; Jang, Mi; Han, Gi Myung; Hong, Sang Hee

    2017-10-01

    Expanded polystyrene (EPS) is a major component of marine debris globally. Recently, hazardous hexabromocyclododecanes (HBCDDs) were detected in EPS buoys used for aquaculture farming. Subsequently, enrichment of HBCDDs was found in nearby marine sediments and mussels growing on EPS buoys. It was suspected that EPS buoys and their debris might be sources of HBCDDs. To confirm this, the release of HBCDDs from EPS spherules detached from a buoy to seawater was investigated under field (open sea surface and closed outdoor chambers with sun exposure and in the dark) and laboratory (particle-size) conditions. In all exposure groups, initial rapid leaching of HBCDDs was followed by slow desorption over time. Abundant release of HBCDDs was observed from EPS spherules exposed to the open sea surface (natural) and on exposure to sunlight irradiation or in the dark in controlled saline water. Water leaching and UV-light/temperature along with possibly biodegradation were responsible for about 37% and 12% of HBCDDs flux, respectively. Crumbled EPS particles (≤1 mm) in samples deployed on the sea surface for 6 months showed a high degree of weathering. This implies that surface erosion and further fragmentation of EPS via environmental weathering could enhance the leaching of HBCDDs from the surface of EPS. Overall, in the marine environment, HBCDDs could be released to a great extent from EPS products and their debris due to the cumulative effects of the movement of large volumes of water (dilution), biodegradation, UV-light/temperature, wave action (shaking), salinity and further fragmentation of EPS spherules. Copyright © 2017 Elsevier Ltd. All rights reserved.

  10. Visualization tool for the world ocean surface currents

    NASA Astrophysics Data System (ADS)

    Kasyanov, S.; Nikitin, O.

    2003-04-01

    Fortran-based software for the world ocean surface currents visualization functioning on the Windows platform (95 and higher) has been developed. The software works with the global interpolated drifting buoys data set (1979-2002) from the WOCE Surface Velocity Program and the global bottom relief five-minute resolution data set (ETOPO5). These data sets loaded in binary form into operative memory of a PC (256 Mb or better more), together with the software compose the world ocean surface currents visualization tool. The tool allows researches to process data on-line in any region of the world ocean, display data in different visualization forms, calculate currents velocity statistics and save chosen images as graphic files. It provides displays of buoy movement (animation), maps of buoy trajectories, averaged (by prescribed time and space grid intervals) current vector and modulus fields, fields of current mean and eddy kinetic energies and their ratio, current steadiness coefficient and sea surface temperature. Any trajectory may be selected simply by clicking it on any summary map of trajectories (or by given buoy number). It may then be viewed and analyzed in detail, while graphs of velocity (components, module and vector) and water temperature variations along this trajectory may be displayed. The description of the previous version of the tool and some screen shots are available at http://zhurnal.ape.relarn.ru/articles/2001/154.pdf(in Russian) and will be available (in English) at http://csit.ugatu.ac.ru (CSIT '2001, Proceedings, v.2, p. 32-41, Nikitin O.P. et al).

  11. KSC-04pd1502

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - Getting ready to enter the water on a practice dive in the ocean offshore from Key Largo are Tara Ruttley (below) and Nick Patrick (above). The two are members of the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team. Ruttley is a biomedical engineer. The others are astronauts John Herrington, mission commander, and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  12. KSC-04pd1503

    NASA Image and Video Library

    2004-07-08

    KENNEDY SPACE CENTER, FLA. - Getting ready to enter the water on a practice dive in the ocean offshore from Key Largo is Nick Patrick. He is a member of the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission team. The others are astronauts John Herrington, mission commander, and Doug Wheelock, plus Tara Ruttley, a biomedical engineer. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  13. Integration of Ground, Buoys, Satellite and Model data to map the Changes in Meteorological Parameters Associated with Harvey Hurricane

    NASA Astrophysics Data System (ADS)

    Chauhan, A.; Sarkar, S.; Singh, R. P.

    2017-12-01

    The coastal areas have dense onshore and marine observation network and are also routinely monitored by constellation of satellites. The monitoring of ocean, land and atmosphere through a range of meteorological parameters, provides information about the land and ocean surface. Satellite data also provide information at different pressure levels that help to access the development of tropical storms and formation of hurricanes at different categories. Integration of ground, buoys, satellite and model data showing the changes in meteorological parameters during the landfall stages of hurricane Harvey will be discussed. Hurricane Harvey was one of the deadliest hurricanes at the Gulf coast which caused intense flooding from the precipitation. The various observation networks helped city administrators to evacuate the coastal areas, that minimized the loss of lives compared to the Galveston hurricane of 1900 which took 10,000 lives. Comparison of meteorological parameters derived from buoys, ground stations and satellites associated with Harvey and 2005 Katrina hurricane present some of the interesting features of the two hurricanes.

  14. Comparison of heaving buoy and oscillating flap wave energy converters

    NASA Astrophysics Data System (ADS)

    Abu Bakar, Mohd Aftar; Green, David A.; Metcalfe, Andrew V.; Najafian, G.

    2013-04-01

    Waves offer an attractive source of renewable energy, with relatively low environmental impact, for communities reasonably close to the sea. Two types of simple wave energy converters (WEC), the heaving buoy WEC and the oscillating flap WEC, are studied. Both WECs are considered as simple energy converters because they can be modelled, to a first approximation, as single degree of freedom linear dynamic systems. In this study, we estimate the response of both WECs to typical wave inputs; wave height for the buoy and corresponding wave surge for the flap, using spectral methods. A nonlinear model of the oscillating flap WEC that includes the drag force, modelled by the Morison equation is also considered. The response to a surge input is estimated by discrete time simulation (DTS), using central difference approximations to derivatives. This is compared with the response of the linear model obtained by DTS and also validated using the spectral method. Bendat's nonlinear system identification (BNLSI) technique was used to analyze the nonlinear dynamic system since the spectral analysis was only suitable for linear dynamic system. The effects of including the nonlinear term are quantified.

  15. Air Deployable Underwater Glider and Buoy Development for Arctic and Oceanographic Sensing

    NASA Astrophysics Data System (ADS)

    Legnos, P. J.

    2013-12-01

    LBI developed under a NOAA SBIR the AXIB (Airborne eXpendable Ice Buoy). The initial buoy was developed to collect barometric pressure, air temperature two meters above the surface and sea surface or ice temperature. A number of these AXIBs have been successfully deployed in the Arctic and Antarctic. Currently we are in the process of integrating additional sensors to include an anemometer, thermistor chain and hydrophones. Further development is in process for the integration of solar and wind recharging systems and lower power sensors and processing LBI developed under an ONR SBIR Grant two Air Deployable Underwater Gliders. They are primarily designed for air deployment from Navy P-3 or P-8 Aircraft though easily deployed from other aircraft or helicopters. The A-size (4 7/8'dia. X 36' long) and the 12 ¾ (12 ¾' dia. X 9' 9' long). On the development side we are in the process of integrating sensors and enhancing the battery storage capacity. We anticipate a broad range of Oceanographic sensing missions for these Gliders.

  16. Salinity Processes in the Upper Ocean Regional Study (SPURS)

    NASA Image and Video Library

    2012-09-05

    A sensor-laden buoy is lifted onboard the Woods Hole Oceanographic Institution's research vessel Knorr on wednesday, Sept. 5, 2012, in Woods Hole, Mass. The buoy will be deployed in the Atlantic Ocean as part of the Salinity Processes in the Upper Ocean Regional Study (SPURS) which is set to sail on Sept. 6. The NASA-sponsored expedition will sail to the North Atlantic's saltiest spot to get a detailed, 3-D picture of how salt content fluctuates in the ocean's upper layers and how these variations are related to shifts in rainfall patterns around the planet. Photo Credit: (NASA/Bill Ingalls)

  17. An Autonomous Ozone Instrument for Atmospheric Measurements from Ocean Buoys

    NASA Astrophysics Data System (ADS)

    Hintsa, E. J.; Rawlins, W. T.; Sholkovitz, E. R.; Hosom, D. S.; Allsup, G. P.; Purcell, M. J.; Scott, D. R.; Mulhall, P.

    2002-05-01

    Tropospheric ozone is an oxidant, a greenhouse gas, and a pollutant. Because of its adverse health effects, there are numerous monitoring stations on land but none over the oceans. We have built an ozone instrument for deployment anywhere at sea from ocean buoys, to study ozone chemistry over the oceans, intercontinental transport of pollution, diurnal and seasonal cycles of ozone, and to make baseline and long-term time series measurements of ozone in remote locations. The instrument uses direct (Beer's Law) absorption of UV radiation in a dual-path cell, with ambient and ozone-free air alternately switched between the two paths, to measure ozone. Ozone can be measured at a rate of 1 Hz, with a precision of about 1 ppb at sea level. The air inlet and outlet have valves which close automatically under high wind conditions or rain to protect the ozone sensor. The instrument has been packaged for deployment at sea, and tested on a 3-meter discus buoy with other instruments in coastal waters in fall 2001. It can operate autonomously or be controlled via line-of-sight modem or a satellite link. We will present the details of the instrument, and laboratory and buoy test data from its first deployment, including a comparison with a nearby ozone monitoring station on land. We will also present an evaluation of the instrument's performance and describe plans for improvements. In summer 2002, the ozone measurement system will be operated at the Martha's Vineyard Coastal Observatory; in the future we anticipate deploying on the Bermuda Testbed Mooring, followed by use on the open ocean to measure long-range transport of ozone.

  18. Widespread detection of a brominated flame retardant, hexabromocyclododecane, in expanded polystyrene marine debris and microplastics from South Korea and the Asia-Pacific coastal region.

    PubMed

    Jang, Mi; Shim, Won Joon; Han, Gi Myung; Rani, Manviri; Song, Young Kyoung; Hong, Sang Hee

    2017-12-01

    The role of marine plastic debris and microplastics as a carrier of hazardous chemicals in the marine environment is an emerging issue. This study investigated expanded polystyrene (EPS, commonly known as styrofoam) debris, which is a common marine debris item worldwide, and its additive chemical, hexabromocyclododecane (HBCD). To obtain a better understanding of chemical dispersion via EPS pollution in the marine environment, intensive monitoring of HBCD levels in EPS debris and microplastics was conducted in South Korea, where EPS is the predominant marine debris originate mainly from fishing and aquaculture buoys. At the same time, EPS debris were collected from 12 other countries in the Asia-Pacific region, and HBCD concentrations were measured. HBCD was detected extensively in EPS buoy debris and EPS microplastics stranded along the Korean coasts, which might be related to the detection of a quantity of HBCD in non-flame-retardant EPS bead (raw material). The wide detection of the flame retardant in sea-floating buoys, and the recycling of high-HBCD-containing EPS waste inside large buoys highlight the need for proper guidelines for the production and use of EPS raw materials, and the recycling of EPS waste. HBCD was also abundantly detected in EPS debris collected from the Asia-Pacific coastal region, indicating that HBCD contamination via EPS debris is a common environmental issue worldwide. Suspected tsunami debris from Alaskan beaches indicated that EPS debris has the potential for long-range transport in the ocean, accompanying the movement of hazardous chemicals. The results of this study indicate that EPS debris can be a source of HBCD in marine environments and marine food web. Copyright © 2017 Elsevier Ltd. All rights reserved.

  19. The effects of sea surface temperature anomalies on oceanic coral reef systems in the southwestern tropical Atlantic

    NASA Astrophysics Data System (ADS)

    Ferreira, B. P.; Costa, M. B. S. F.; Coxey, M. S.; Gaspar, A. L. B.; Veleda, D.; Araujo, M.

    2013-06-01

    In 2010, high sea surface temperatures that were recorded in several parts of the world and caused coral bleaching and coral mortality were also recorded in the southwest Atlantic Ocean, between latitudes 0°S and 8°S. This paper reports on coral bleaching and diseases in Rocas Atoll and Fernando de Noronha archipelago and examines their relationship with sea surface temperature (SST) anomalies recorded by PIRATA buoys located at 8°S30°W, 0°S35°W, and 0°S23°W. Adjusted satellite data were used to derive SST climatological means at buoy sites and to derive anomalies at reef sites. The whole region was affected by the elevated temperature anomaly that persisted through 2010, reaching 1.67 °C above average at reef sites and 1.83 °C above average at buoys sites. A significant positive relationship was found between the percentage of coral bleaching that was observed on reef formations and the corresponding HotSpot SST anomaly recorded by both satellite and buoys. These results indicate that the warming observed in the ocean waters was followed by a warming at the reefs. The percentage of bleached corals persisting after the subsidence of the thermal stress, and disease prevalence increased through 2010, after two periods of thermal stress. The in situ temperature anomaly observed during the 2009-2010 El Niño event was equivalent to the anomaly observed during the 1997-1998 El Niño event, explaining similar bleaching intensity. Continued monitoring efforts are necessary to further assess the relationship between bleaching severity and PIRATA SST anomalies and improve the use of this new dataset in future regional bleaching predictions.

  20. 2011 Tohoku, Japan tsunami data available from the National Oceanic and Atmospheric Administration/National Geophysical Data Center

    NASA Astrophysics Data System (ADS)

    Dunbar, P. K.; Mccullough, H. L.; Mungov, G.; Harris, E.

    2012-12-01

    The U.S. National Oceanic and Atmospheric Administration (NOAA) has primary responsibility for providing tsunami warnings to the Nation, and a leadership role in tsunami observations and research. A key component of this effort is easy access to authoritative data on past tsunamis, a responsibility of the National Geophysical Data Center (NGDC) and collocated World Service for Geophysics. Archive responsibilities include the global historical tsunami database, coastal tide-gauge data from US/NOAA operated stations, the Deep-ocean Assessment and Reporting of Tsunami (DART®) data, damage photos, as well as other related hazards data. Taken together, this integrated archive supports tsunami forecast, warning, research, mitigation and education efforts of NOAA and the Nation. Understanding the severity and timing of tsunami effects is important for tsunami hazard mitigation and warning. The global historical tsunami database includes the date, time, and location of the source event, magnitude of the source, event validity, maximum wave height, the total number of fatalities and dollar damage. The database contains additional information on run-ups (locations where tsunami waves were observed by eyewitnesses, field reconnaissance surveys, tide gauges, or deep ocean sensors). The run-up table includes arrival times, distance from the source, measurement type, maximum wave height, and the number of fatalities and damage for the specific run-up location. Tide gauge data are required for modeling the interaction of tsunami waves with the coast and for verifying propagation and inundation models. NGDC is the long-term archive for all NOAA coastal tide gauge data and is currently archiving 15-second to 1-minute water level data from the NOAA Center for Operational Oceanographic Products and Services (CO-OPS) and the NOAA Tsunami Warning Centers. DART® buoys, which are essential components of tsunami warning systems, are now deployed in all oceans, giving coastal communities faster and more accurate tsunami warnings. NOAA's National Data Buoy Center disseminates real-time DART® data and NGDC processes and archives post-event 15-second high-resolution bottom pressure time series data. An event-specific archive of DART® observations recorded during recent significant tsunamis, including the March 2011 Tohoku, Japan event, are now available through new tsunami event pages integrated with the NGDC global historical tsunami database. These pages are developed to deliver comprehensive summaries of each tsunami event, including socio-economic impacts, tsunami travel time maps, raw observations, de-tided residuals, spectra of the tsunami signal compared to the energy of the background noise, and wavelets. These data are invaluable to tsunami researchers and educators as they are essential to providing a more thorough understanding of tsunamis and their propagation in the open ocean and subsequent inundation of coastal communities. NGDC has collected 289 tide gauge observations, 34 Deep-ocean Assessment and Reporting of Tsunami (DART®) and bottom pressure recorder (BPR) station observations, and over 5,000 eyewitness reports and post-tsunami field survey measurements for the 2011 Tohoku event.

  1. Development of the nowcasting system for the XVII Asiad at Korea Meteorological Administration

    NASA Astrophysics Data System (ADS)

    Park, Kyungjeen; Kim, Juwon; Jang, Taekyu; Hwang, Seung On; Park, Yunho; Kim, Yoonjae; Park, Seonjoo; Joo, Sangwon; Noh, Hae Mi

    2014-05-01

    The XVII Asiad, known as the 2014 Asian game, is the largest sporting event in Asia. It will be held in Incheon, South Korea from September 19 to October 4, with 437 events in 36 sports. To support this game, Korea Meteorological Administration developed Incheon Data Assimilation and Prediction System (IDAPS) for nowcasting and very short range forecasts. The domain is centered at Incheon city and covers the central region of the Korean peninsula and adjacent seas. It repeats analysis and forecast processes with 1 hour cycling interval. IDAPS has approximately 1 km horizontal resolution with 324 x 360 grids and 70 vertical layers. Three dimensional variational data assimilation is applied to assimilate AWS, windprofiler, buoy, sonde, aircraft, scatwinds, rain rate, and radar products. The details of IDAPS and the experiment results will be given during the conference.

  2. KSC-04pd1509

    NASA Image and Video Library

    2004-07-11

    KENNEDY SPACE CENTER, FLA. - In the water offshore from Key Largo, site of the NASA Extreme Environment Mission Operations 6 (NEEMO-6), are (left to right) Bill Todd, project lead, and Marc Reagan, mission lead. Todd and Lucas are also the underwater videographer and still photographer, respectively, for the mission. The NEEMO-6 team comprises John Herrington, commander, Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  3. Salinity Processes in the Upper Ocean Regional Study (SPURS)

    NASA Image and Video Library

    2012-09-04

    A sensor-laden buoy is seen prior to being loaded onboard the Woods Hole Oceanographic Institution's vessel Knorr on Tuesday, Sept. 4, 2012, in Woods Hole, Mass. The buoy will be deployed in the Atlantic Ocean as part of the Salinity Processes in the Upper Ocean Regional Study (SPURS) which is set to sail on Sept. 6. The NASA-sponsored expedition will sail to the North Atlantic's saltiest spot to get a detailed, 3-D picture of how salt content fluctuates in the ocean's upper layers and how these variations are related to shifts in rainfall patterns around the planet. Photo Credit: (NASA/Bill Ingalls)

  4. Sensor Buoy System for Monitoring Renewable Marine Energy Resources.

    PubMed

    García, Emilio; Quiles, Eduardo; Correcher, Antonio; Morant, Francisco

    2018-03-22

    In this paper we present a multi-sensor floating system designed to monitor marine energy parameters, in order to sample wind, wave, and marine current energy resources. For this purpose, a set of dedicated sensors to measure the height and period of the waves, wind, and marine current intensity and direction have been selected and installed in the system. The floating device incorporates wind and marine current turbines for renewable energy self-consumption and to carry out complementary studies on the stability of such a system. The feasibility, safety, sensor communications, and buoy stability of the floating device have been successfully checked in real operating conditions.

  5. Stratus 9/VOCALS: Ninth Setting of the Stratus Ocean Reference Station & VOCALS Regional Experiment. Cruise RB-08-06, September 29-December 2, 2008. Leg 1: Charleston-Arica, September 29-November 3, 2008, Leg 2: Arica-Arica, November 9?December 2, 2008

    DTIC Science & Technology

    2009-04-01

    set-up and data download. xi. High-Resolution Pulse-to-Pulse Coherent Doppler Sonars Upper Ocean Turbulence As part of the Stratus (S9) buoy...deployed during the VOCALS 2008 cruise, pulse-to-pulse coherent Doppler sonars were added to the subsurface instrumentation of the buoy for...measurements of the turbulence and mixing within and below the mixed layer. See Table 3-4. The coherent Doppler sonars are Nortek model Aquadopp HR

  6. Sensor Buoy System for Monitoring Renewable Marine Energy Resources

    PubMed Central

    García, Emilio; Morant, Francisco

    2018-01-01

    In this paper we present a multi-sensor floating system designed to monitor marine energy parameters, in order to sample wind, wave, and marine current energy resources. For this purpose, a set of dedicated sensors to measure the height and period of the waves, wind, and marine current intensity and direction have been selected and installed in the system. The floating device incorporates wind and marine current turbines for renewable energy self-consumption and to carry out complementary studies on the stability of such a system. The feasibility, safety, sensor communications, and buoy stability of the floating device have been successfully checked in real operating conditions. PMID:29565823

  7. Optical Rain Gauge Performance: Second Workshop on Optical Rain Gauge Measurements

    NASA Technical Reports Server (NTRS)

    Short, David A. (Editor); Thiele, Otto W. (Editor); Mcphaden, Michael J. (Editor)

    1994-01-01

    The primary focus of the workshop was on the performance and reliability of STi mini-Optical Rain Gauges in a number of environments, including deployments on ships and buoys in the western equatorial Pacific Ocean during the TOGA/COARE field experiment, deployments on buoys in U.S. coastal waters, and comparisons with other types of rain gauges on the Virginia coast and in Florida. The workshop was attended by 20 investigators, representing 10 different institutions, who gathered to present new results obtained since the first workshop (April 1993), to discuss problems, to consider solutions, and to chart future directions. Post-TOGA/COARE calibration studies were also presented.

  8. A drifting GPS buoy for retrieving effective riverbed bathymetry

    NASA Astrophysics Data System (ADS)

    Hostache, R.; Matgen, P.; Giustarini, L.; Teferle, F. N.; Tailliez, C.; Iffly, J.-F.; Corato, G.

    2015-01-01

    Spatially distributed riverbed bathymetry information are rarely available but mandatory for accurate hydrodynamic modeling. This study aims at evaluating the potential of the Global Navigation Satellite System (GNSS), like for instance Global Positioning System (GPS), for retrieving such data. Drifting buoys equipped with navigation systems such as GPS enable the quasi-continuous measurement of water surface elevation, from virtually any point in the world. The present study investigates the potential of assimilating GNSS-derived water surface elevation measurements into hydraulic models in order to retrieve effective riverbed bathymetry. First tests with a GPS dual-frequency receiver show that the root mean squared error (RMSE) on the elevation measurement equals 30 cm provided that a differential post processing is performed. Next, synthetic observations of a drifting buoy were generated assuming a 30 cm average error of Water Surface Elevation (WSE) measurements. By assimilating the synthetic observation into a 1D-Hydrodynamic model, we show that the riverbed bathymetry can be retrieved with an accuracy of 36 cm. Moreover, the WSEs simulated by the hydrodynamic model using the retrieved bathymetry are in good agreement with the synthetic "truth", exhibiting an RMSE of 27 cm.

  9. Research Applications of Data from Arctic Ocean Drifting Platforms: The Arctic Buoy Program and the Environmental Working Group CD's.

    NASA Astrophysics Data System (ADS)

    Moritz, R. E.; Rigor, I.

    2006-12-01

    ABSTRACT: The Arctic Buoy Program was initiated in 1978 to measure surface air pressure, surface temperature and sea-ice motion in the Arctic Ocean, on the space and time scales of synoptic weather systems, and to make the data available for research, forecasting and operations. The program, subsequently renamed the International Arctic Buoy Programme (IABP), has endured and expanded over the past 28 years. A hallmark of the IABP is the production, dissemination and archival of research-quality datasets and analyses. These datasets have been used by the authors of over 500 papers on meteorolgy, sea-ice physics, oceanography, air-sea interactions, climate, remote sensing and other topics. Elements of the IABP are described briefly, including measurements, analysis, data dissemination and data archival. Selected highlights of the research applications are reviewed, including ice dynamics, ocean-ice modeling, low-frequency variability of Arctic air-sea-ice circulation, and recent changes in the age, thickness and extent of Arctic Sea-ice. The extended temporal coverage of the data disseminated on the Environmental Working Group CD's is important for interpreting results in the context of climate.

  10. Evaluating the Effects of Clouds on Solar and Longwave Radiation From Moored Buoys in the North Pacific

    NASA Astrophysics Data System (ADS)

    Balmes, K.; Cronin, M. F.

    2014-12-01

    Clouds play a critical role in the ocean surface radiation balance, along with the solar zenith angle and the atmospheric moisture and aerosol content. Two moored buoys in the North Pacific - KEO (32.3°N, 144.6°E) and Papa (50°N, 145°W) - continuously measure solar and longwave radiation and other atmospheric and oceanic variables through two redundant systems. After identifying the primary system and constructing daily clear sky solar and longwave radiation values, the seasonal and regional clouds effects are quantified for the two locations. Situated south of the Kuroshio Extension, significant moisture content variability, associated with the Asian monsoon, affects solar and longwave radiation and cloud effects at KEO. Less seasonal variability is observed at buoy Papa located in the Gulf of Alaska. At KEO, the negative solar radiation cloud forcing outweigh the positive longwave radiation cloud forcing leading to ocean cooling, particularly in the summer. At Papa, the longwave radiation cloud forcing counteracts the solar cloud forcing during the winter, subsequently warming the ocean. The regional and seasonal variability of clouds represents a difficult aspect of climate modeling and an area for further research.

  11. Modeling the Behavior of an Underwater Acoustic Relative Positioning System Based on Complementary Set of Sequences

    PubMed Central

    Aparicio, Joaquín; Jiménez, Ana; Álvarez, Fernando J.; Ureña, Jesús; De Marziani, Carlos; Diego, Cristina

    2011-01-01

    The great variability usually found in underwater media makes modeling a challenging task, but helpful for better understanding or predicting the performance of future deployed systems. In this work, an underwater acoustic propagation model is presented. This model obtains the multipath structure by means of the ray tracing technique. Using this model, the behavior of a relative positioning system is presented. One of the main advantages of relative positioning systems is that only the distances between all the buoys are needed to obtain their positions. In order to obtain the distances, the propagation times of acoustic signals coded by Complementary Set of Sequences (CSS) are used. In this case, the arrival instants are obtained by means of correlation processes. The distances are then used to obtain the position of the buoys by means of the Multidimensional Scaling Technique (MDS). As an early example of an application using this relative positioning system, a tracking of the position of the buoys at different times is performed. With this tracking, the surface current of a particular region could be studied. The performance of the system is evaluated in terms of the distance from the real position to the estimated one. PMID:22247661

  12. Wave Energy from the North Sea: Experiences from the Lysekil Research Site

    NASA Astrophysics Data System (ADS)

    Leijon, Mats; Boström, Cecilia; Danielsson, Oskar; Gustafsson, Stefan; Haikonen, Kalle; Langhamer, Olivia; Strömstedt, Erland; Stålberg, Magnus; Sundberg, Jan; Svensson, Olle; Tyrberg, Simon; Waters, Rafael

    2008-05-01

    This paper provides a status update on the development of the Swedish wave energy research area located close to Lysekil on the Swedish West coast. The Lysekil project is run by the Centre for Renewable Electric Energy Conversion at Uppsala University. The project was started in 2004 and currently has permission to run until the end of 2013. During this time period 10 grid-connected wave energy converters, 30 buoys for studies on environmental impact, and a surveillance tower for monitoring the interaction between waves and converters will be installed and studied. To date the research area holds one complete wave energy converter connected to a measuring station on shore via a sea cable, a Wave Rider™ buoy for wave measurements, 25 buoys for studies on environmental impact, and a surveillance tower. The wave energy converter is based on a linear synchronous generator which is placed on the sea bed and driven by a heaving point absorber at the ocean surface. The converter is directly driven, i.e. it has no gearbox or other mechanical or hydraulic conversion system. This results in a simple and robust mechanical system, but also in a somewhat more complicated electrical system.

  13. Oceanic Precondition and Evolution of the Indian Ocean Dipole Events

    NASA Astrophysics Data System (ADS)

    Horii, T.; Masumoto, Y.; Ueki, I.; Hase, H.; Mizuno, K.

    2008-12-01

    Indian Ocean Dipole (IOD) is one of the interannual climate variability in the Indian Ocean, associated with the negative (positive) SST anomaly in the eastern (western) equatorial region developing during boreal summer/autumn seasons. Japan Agency for Marine-Earth Science and Technology (JAMSTEC) has been deploying TRITON buoys in the eastern equatorial Indian Ocean since October 2001. Details of subsurface ocean conditions associated with IOD events were observed by the mooring buoys in the eastern equatorial Indian Ocean in 2006, 2007, and 2008. In the 2006 IOD event, large-scale sea surface signals in the tropical Indian Ocean associated with the positive IOD started in August 2006, and the anomalous conditions continued until December 2006. Data from the mooring buoys, however, captured the first appearance of the negative temperature anomaly at the thermocline depth with strong westward current anomalies in May 2006, about three months earlier than the development of the surface signatures. Similar appearance of negative temperature anomalies in the subsurface were also observed in 2007 and 2008, while the amplitude, the timing, and the relation to the surface layer were different among the events. The implications of the subsurface conditions for the occurrences of these IOD events are discussed.

  14. Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring.

    PubMed

    Trasviña-Moreno, Carlos A; Blasco, Rubén; Marco, Álvaro; Casas, Roberto; Trasviña-Castro, Armando

    2017-02-24

    Marine environments are delicate ecosystems which directly influence local climates, flora, fauna, and human activities. Their monitorization plays a key role in their preservation, which is most commonly done through the use of environmental sensing buoy networks. These devices transmit data by means of satellite communications or close-range base stations, which present several limitations and elevated infrastructure costs. Unmanned Aerial Vehicles (UAV) are another alternative for remote environmental monitoring which provide new types of data and ease of use. These aircraft are mainly used in video capture related applications, in its various light spectrums, and do not provide the same data as sensing buoys, nor can they be used for such extended periods of time. The aim of this research is to provide a flexible, easy to deploy and cost-effective Wireless Sensor Network (WSN) for monitoring marine environments. This proposal uses a UAV as a mobile data collector, low-power long-range communications and sensing buoys as part of a single WSN. A complete description of the design, development, and implementation of the various parts of this system is presented, as well as its validation in a real-world scenario.

  15. Unmanned Aerial Vehicle Based Wireless Sensor Network for Marine-Coastal Environment Monitoring

    PubMed Central

    Trasviña-Moreno, Carlos A.; Blasco, Rubén; Marco, Álvaro; Casas, Roberto; Trasviña-Castro, Armando

    2017-01-01

    Marine environments are delicate ecosystems which directly influence local climates, flora, fauna, and human activities. Their monitorization plays a key role in their preservation, which is most commonly done through the use of environmental sensing buoy networks. These devices transmit data by means of satellite communications or close-range base stations, which present several limitations and elevated infrastructure costs. Unmanned Aerial Vehicles (UAV) are another alternative for remote environmental monitoring which provide new types of data and ease of use. These aircraft are mainly used in video capture related applications, in its various light spectrums, and do not provide the same data as sensing buoys, nor can they be used for such extended periods of time. The aim of this research is to provide a flexible, easy to deploy and cost-effective Wireless Sensor Network (WSN) for monitoring marine environments. This proposal uses a UAV as a mobile data collector, low-power long-range communications and sensing buoys as part of a single WSN. A complete description of the design, development, and implementation of the various parts of this system is presented, as well as its validation in a real-world scenario. PMID:28245587

  16. The first demonstration of a microbial fuel cell as a viable power supply: Powering a meteorological buoy

    NASA Astrophysics Data System (ADS)

    Tender, Leonard M.; Gray, Sam A.; Groveman, Ethan; Lowy, Daniel A.; Kauffman, Peter; Melhado, Julio; Tyce, Robert C.; Flynn, Darren; Petrecca, Rose; Dobarro, Joe

    2008-05-01

    Here we describe the first demonstration of a microbial fuel cell (MFC) as a practical alternative to batteries for a low-power consuming application. The specific application reported is a meteorological buoy (ca. 18-mW average consumption) that measures air temperature, pressure, relative humidity, and water temperature, and that is configured for real-time line-of-sight RF telemetry of data. The specific type of MFC utilized in this demonstration is the benthic microbial fuel cell (BMFC). The BMFC operates on the bottom of marine environments, where it oxidizes organic matter residing in oxygen depleted sediment with oxygen in overlying water. It is maintenance free, does not deplete (i.e., will run indefinitely), and is sufficiently powerful to operate a wide range of low-power marine-deployed scientific instruments normally powered by batteries. Two prototype BMFCs used to power the buoy are described. The first was deployed in the Potomac River in Washington, DC, USA. It had a mass of 230 kg, a volume of 1.3 m3, and sustained 24 mW (energy equivalent of ca. 16 alkaline D-cells per year at 25 °C). Although not practical due to high cost and extensive in-water manipulation required to deploy, it established the precedence that a fully functional scientific instrument could derive all of its power from a BMFC. It also provided valuable lessons for developing a second, more practical BMFC that was subsequently used to power the buoy in a salt marsh near Tuckerton, NJ, USA. The second version BMFC has a mass of 16 kg, a volume of 0.03 m3, sustains ca. 36 mW (energy equivalent of ca. 26 alkaline D-cells per year at 25 °C), and can be deployed by a single person from a small craft with minimum or no in-water manipulation. This BMFC is being further developed to reduce cost and enable greater power output by electrically connecting multiple units in parallel. Use of this BMFC powering the meteorological buoy highlights the potential impact of BMFCs to enable long term (persistent) operation of durable low-power marine instruments (up to 100 mW average power consumption) far longer than practical by batteries.

  17. Short-term sea ice forecasting: An assessment of ice concentration and ice drift forecasts using the U.S. Navy's Arctic Cap Nowcast/Forecast System

    NASA Astrophysics Data System (ADS)

    Hebert, David A.; Allard, Richard A.; Metzger, E. Joseph; Posey, Pamela G.; Preller, Ruth H.; Wallcraft, Alan J.; Phelps, Michael W.; Smedstad, Ole Martin

    2015-12-01

    In this study the forecast skill of the U.S. Navy operational Arctic sea ice forecast system, the Arctic Cap Nowcast/Forecast System (ACNFS), is presented for the period February 2014 to June 2015. ACNFS is designed to provide short term, 1-7 day forecasts of Arctic sea ice and ocean conditions. Many quantities are forecast by ACNFS; the most commonly used include ice concentration, ice thickness, ice velocity, sea surface temperature, sea surface salinity, and sea surface velocities. Ice concentration forecast skill is compared to a persistent ice state and historical sea ice climatology. Skill scores are focused on areas where ice concentration changes by ±5% or more, and are therefore limited to primarily the marginal ice zone. We demonstrate that ACNFS forecasts are skilful compared to assuming a persistent ice state, especially beyond 24 h. ACNFS is also shown to be particularly skilful compared to a climatologic state for forecasts up to 102 h. Modeled ice drift velocity is compared to observed buoy data from the International Arctic Buoy Programme. A seasonal bias is shown where ACNFS is slower than IABP velocity in the summer months and faster in the winter months. In February 2015, ACNFS began to assimilate a blended ice concentration derived from Advanced Microwave Scanning Radiometer 2 (AMSR2) and the Interactive Multisensor Snow and Ice Mapping System (IMS). Preliminary results show that assimilating AMSR2 blended with IMS improves the short-term forecast skill and ice edge location compared to the independently derived National Ice Center Ice Edge product.

  18. Characteristics of storms driving wave-induced seafloor mobility on the U.S. East Coast continental shelf

    USGS Publications Warehouse

    Dalyander, P. Soupy; Butman, Bradford

    2015-01-01

    This study investigates the relationship between spatial and temporal patterns of wave-driven sediment mobility events on the U.S. East Coast continental shelf and the characteristics of the storms responsible for them. Mobility events, defined as seafloor wave stress exceedance of the critical stress of 0.35 mm diameter sand (0.2160 Pa) for 12 or more hours, were identified from surface wave observations at National Data Buoy Center buoys in the Middle Atlantic Bight (MAB) and South Atlantic Bight (SAB) over the period of 1997-2007. In water depths ranging from 36-48 m, there were 4-9 mobility events/year of 1-2 days duration. Integrated wave stress during events (IWAVES) was used as a combined metric of wave-driven mobility intensity and duration. In the MAB, over 67% of IWAVES was caused by extratropical storms, while in the SAB, greater than 66% of IWAVES was caused by tropical storms. On average, mobility events were caused by waves generated by storms located 800+ km away. Far-field hurricanes generated swell 2-4 days before the waves caused mobility on the shelf. Throughout most of the SAB, mobility events were driven by storms to the south, east, and west. In the MAB and near Cape Hatteras, winds from more northerly storms and low-pressure extratropical systems in the mid-western U.S. also drove mobility events. Waves generated by storms off the SAB generated mobility events along the entire U.S. East Coast shelf north to Cape Cod, while Cape Hatteras shielded the SAB area from swell originating to the north offshore of the MAB.

  19. Salinity Processes in the Upper Ocean Regional Study (SPURS)

    NASA Image and Video Library

    2012-09-04

    Woods Hole Oceanographic Institution Senior Engineer Steve Faluotico works on the SPURS buoy prior to it being loaded onto the Institute's research vessel Knorr, Tuesday, Sept. 4, 2012, in Woods Hole, Mass. The SPURS buoy will be deployed in the Atlantic Ocean as part of the Salinity Processes in the Upper Ocean Regional Study (SPURS) which is set to sail on Sept. 6. The NASA-sponsored expedition will sail to the North Atlantic's saltiest spot to get a detailed, 3-D picture of how salt content fluctuates in the ocean's upper layers and how these variations are related to shifts in rainfall patterns around the planet. Photo Credit: (NASA/Bill Ingalls)

  20. Salinity Processes in the Upper Ocean Regional Study (SPURS)

    NASA Image and Video Library

    2012-09-05

    An worker prepares to attached a crane hook onto a sensor-laden buoy so that it may be loaded onboard the Woods Hole Oceanographic Institution's research vessel Knorr on wednesday, Sept. 5, 2012, in Woods Hole, Mass. The buoy will be deployed in the Atlantic Ocean as part of the Salinity Processes in the Upper Ocean Regional Study (SPURS) which is set to sail on Sept. 6. The NASA-sponsored expedition will sail to the North Atlantic's saltiest spot to get a detailed, 3-D picture of how salt content fluctuates in the ocean's upper layers and how these variations are related to shifts in rainfall patterns around the planet. Photo Credit: (NASA/Bill Ingalls)

  1. Salinity Processes in the Upper Ocean Regional Study (SPURS)

    NASA Image and Video Library

    2012-09-04

    NASA Physical Oceanography Program Scientist Eric Lindstrom inspects a sensor-laden buoy prior to it being loaded onboard the Woods Hole Oceanographic Institution's vessel Knorr on Tuesday, Sept. 4, 2012, in Woods Hole, Mass. The buoy will be deployed in the Atlantic Ocean as part of the Salinity Processes in the Upper Ocean Regional Study (SPURS) which is set to sail on Sept. 6. The NASA-sponsored expedition will sail to the North Atlantic's saltiest spot to get a detailed, 3-D picture of how salt content fluctuates in the ocean's upper layers and how these variations are related to shifts in rainfall patterns around the planet. Photo Credit: (NASA/Bill Ingalls)

  2. Wave propagation in the marginal ice zone - Model predictions and comparisons with buoy and synthetic aperture radar data

    NASA Technical Reports Server (NTRS)

    Liu, Antony K.; Holt, Benjamin; Vachon, Paris W.

    1991-01-01

    Ocean wave dispersion relation and viscous attenuation by a sea ice cover are studied for waves propagating into the marginal ice zone (MIZ). The Labrador ice margin experiment (LIMEX), conducted on the MIZ off the east coast of Newfoundland, Canada in March 1987, provided aircraft SAR imagery, ice property and wave buoy data. Wave energy attenuation rates are estimated from SAR data and the ice motion package data that were deployed at the ice edge and into the ice pack, and compared with a model. It is shown that the model data comparisons are quite good for the ice conditions observed during LIMEX 1987.

  3. The pre-Argo ocean reanalyses may be seriously affected by the spatial coverage of moored buoys

    PubMed Central

    Sivareddy, S.; Paul, Arya; Sluka, Travis; Ravichandran, M.; Kalnay, Eugenia

    2017-01-01

    Assimilation methods, meant to constrain divergence of model trajectory from reality using observations, do not exactly satisfy the physical laws governing the model state variables. This allows mismatches in the analysis in the vicinity of observation locations where the effect of assimilation is most prominent. These mismatches are usually mitigated either by the model dynamics in between the analysis cycles and/or by assimilation at the next analysis cycle. However, if the observations coverage is limited in space, as it was in the ocean before the Argo era, these mechanisms may be insufficient to dampen the mismatches, which we call shocks, and they may remain and grow. Here we show through controlled experiments, using real and simulated observations in two different ocean models and assimilation systems, that such shocks are generated in the ocean at the lateral boundaries of the moored buoy network. They thrive and propagate westward as Rossby waves along these boundaries. However, these shocks are essentially eliminated by the assimilation of near-homogenous global Argo distribution. These findings question the fidelity of ocean reanalysis products in the pre-Argo era. For example, a reanalysis that ignores Argo floats and assimilates only moored buoys, wrongly represents 2008 as a negative Indian Ocean Dipole year. PMID:28429748

  4. Innovative technologies (DIY instruments and data sonification) for engaging volunteers to participate in marine environmental monitoring programs.

    NASA Astrophysics Data System (ADS)

    Piera, J.

    2016-02-01

    In recent years the promotion of marine observations based on volunteer participation, known as Citizen Science, has provided environmental data with unprecedented resolution and coverage. The Citizen Science based approach has the additional advantage to engage people by raising awareness and knowledge of marine environmental problems. The technological advances in embedded systems and sensors, enables citizens to create their own devices (known as DIY, Do-It-Yourself, technologies) for monitoring the marine environment. Within the context of the CITCLOPS project (www.citclops.eu), a DIY instrument was developed to monitor changes on water transparency as a water quality indicator. The instrument, named KdUINO, is based on quasi-digital sensors controlled by an open-hardware (Arduino) board. The sensors measure light irradiance at different depth and the instrument automatically calculates the light diffuse attenuation Kd coefficient to quantify the water transparency. The buoy construction is an ideal activity for creative STEM programming. Several workshops in high schools were done to show to the students how to construct their own buoy. Some of them used the buoy to develop their own scientific experiments. In order to engage students more motivated in artistic disciplines, the research group developed also a sonification system that allows creating music and graphics using KdUINO measurements as input data.

  5. Sea ice motions in the Central Arctic pack ice as inferred from AVHRR imagery

    NASA Technical Reports Server (NTRS)

    Emery, William; Maslanik, James; Fowler, Charles

    1995-01-01

    Synoptic observations of ice motion in the Arctic Basin are currently limited to those acquired by drifting buoys and, more recently, radar data from ERS-1. Buoys are not uniformly distributed throughout the Arctic, and SAR coverage is currently limited regionally and temporally due to the data volume, swath width, processing requirements, and power needs of the SAR. Additional ice-motion observations that can map ice responses simultaneously over large portions of the Arctic on daily to weekly time intervals are thus needed to augment the SAR and buoys data and to provide an intermediate-scale measure of ice drift suitable for climatological analyses and ice modeling. Principal objectives of this project were to: (1) demonstrate whether sufficient ice features and ice motion existed within the consolidated ice pack to permit motion tracking using AVHRR imagery; (2) determine the limits imposed on AVHRR mapping by cloud cover; and (3) test the applicability of AVHRR-derived motions in studies of ice-atmosphere interactions. Each of these main objectives was addressed. We conclude that AVHRR data, particularly when blended with other available observations, provide a valuable data set for studying sea ice processes. In a follow-on project, we are now extending this work to cover larger areas and to address science questions in more detail.

  6. KSC-04pd1507

    NASA Image and Video Library

    2004-07-11

    KENNEDY SPACE CENTER, FLA. - Ready for another dive to the NOAA undersea station Aquarius, offshore from Key Largo, the site of the NASA Extreme Environment Mission Operations 6 (NEEMO-6), are (left to right) Monike Schultz, CB Office lead; Bill Todd, project lead; Marc Reagan, mission lead; and Michele Lucas, OPS planner. Todd and Lucas are also the underwater videographer and still photographer, respectively, for the mission. The NEEMO-6 team comprises John Herrington, commander, Tara Ruttley, a biomedical engineer, and astronauts Nick Patrick and Doug Wheelock. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - Aquarius - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  7. KSC-04pd1499

    NASA Image and Video Library

    2004-07-07

    KENNEDY SPACE CENTER, FLA. - After their return from a practice dive at the NOAA Aquarius underwater station offshore at Key Largo, Marc Reagan, John Herrington and Nick Patrick unload dive gear. Herrington is mission commander and Patrick is a member of the crew on the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission. Reagan is mission lead as well as underwater still photographer. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius offshore from Key Largo - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. Other team members are Doug Wheelock and biomedical engineer Tara Ruttley. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  8. KSC-04pd1500

    NASA Image and Video Library

    2004-07-07

    KENNEDY SPACE CENTER, FLA. - After their return from a practice dive at the NOAA Aquarius underwater station offshore at Key Largo, John Herrington and Tara Ruttley look over their dive gear. Herrington is mission commander and Ruttley, a biomedical engineer, is a member of the crew on the NASA Extreme Environment Mission Operations 6 (NEEMO-6) mission. The NEEMO-6 mission involves exposing an astronaut/scientist crew to a real mission experience in an extreme environment - the NOAA undersea station Aquarius offshore from Key Largo - to prepare for future space flight. Spacewalk-like diving excursions and field-tests on a variety of biomedical equipment are designed to help astronauts living aboard the International Space Station. Other team members are astronauts Doug Wheelock and Nick Patrick. To prepare for their 10-day stay, the team had dive training twice a day at the Life Support Buoy, anchored above Aquarius.

  9. Automated detection of sperm whale sounds as a function of abrupt changes in sound intensity

    NASA Astrophysics Data System (ADS)

    Walker, Christopher D.; Rayborn, Grayson H.; Brack, Benjamin A.; Kuczaj, Stan A.; Paulos, Robin L.

    2003-04-01

    An algorithm designed to detect abrupt changes in sound intensity was developed and used to identify and count sperm whale vocalizations and to measure boat noise. The algorithm is a MATLAB routine that counts the number of occurrences for which the change in intensity level exceeds a threshold. The algorithm also permits the setting of a ``dead time'' interval to prevent the counting of multiple pulses within a single sperm whale click. This algorithm was used to analyze digitally sampled recordings of ambient noise obtained from the Gulf of Mexico using near bottom mounted EARS buoys deployed as part of the Littoral Acoustic Demonstration Center experiment. Because the background in these data varied slowly, the result of the application of the algorithm was automated detection of sperm whale clicks and creaks with results that agreed well with those obtained by trained human listeners. [Research supported by ONR.

  10. Data Quality Assessment of In Situ and Altimeter Observations Through Two-Way Intercomparison Methods

    NASA Astrophysics Data System (ADS)

    Guinehut, Stephanie; Valladeau, Guillaume; Legeais, Jean-Francois; Rio, Marie-Helene; Ablain, Michael; Larnicol, Gilles

    2013-09-01

    This proceeding presents an overview of the two-way inter-comparison activities performed at CLS for both space and in situ observation agencies and why this activity is a required step to obtain accurate and homogenous data sets that can then be used together for climate studies or in assimilation/validation tools. We first describe the work performed in the frame of the SALP program to assess the stability of altimeter missions through SSH comparisons with tide gauges (GLOSS/CLIVAR network). Then, we show how the SSH comparison between the Argo array and altimeter time series allows the detection of drifts or jumps in altimeter (SALP program) but also for some Argo floats (Ifremer/Coriolis center). Lastly, we describe how the combine use of altimeter and wind observations helps the detection of drogue loss of surface drifting buoys (GDP network) and allow the computation of a correction term for wind slippage.

  11. Assessing the role of solar radiation in heating, photosynthesis, and photo-oxidation in upper Arctic Ocean waters via autonomous buoys

    NASA Astrophysics Data System (ADS)

    Hill, V. J.; Steele, M.; Light, B.

    2016-02-01

    As part of the Arctic Observing Network, a new ice-tethered buoy has been developed for monitoring the role of sunlight in regulating ocean temperature, phytoplankton growth, and carbon cycling. A 20 or 50 m string (depending on local bathymetry) supports sensors both within and below the ice for the hourly measurement of downwelling irradiance, temperature, Chlorophyll a, light backscattering, and dissolved organic material (DOM). Two buoys were deployed in March 2014 and two in March 2015. Because the buoys are engineered to survive melting out of first year ice, they have successfully provided complete seasonal records of water column warming, phytoplankton abundance and photo-oxidation patterns in the Pacific Arctic Region. The data collected will be used to determine whether reduced ice extent and thinner ice are driving increases in under ice warming, accelerating bottom ice ablation, increasing available photosynthetic radiation to support large under ice blooms, and to quantify photo-oxidation of the DOM pool. Observations so far have revealed strong under ice daily warming as high as ±0.5 °C driven by local solar radiation. Water column absorption was dominated by colored dissolved organic material which served to trap solar radiation in the upper water column. Chlorophyll concentrations observed in June and July indicated high phytoplankton abundance beneath the ice. Light intensity at this time was not sufficient to support growth rates high enough to produce the 8 to 10 mg m-3 of chlorophyll observed. We hypothesize that phytoplankton were advected under the ice from the ice edge. However, once there phytoplankton were able to sustain low growth rates leading to nutrient limitation before open water status was reached. Strong daily cycles of photo-oxidation have also been observed in the late summer that indicate the fast cycling of highly labile DOM in the open waters of the Pacific Arctic Region.

  12. Improvement of tsunami detection in timeseries data of GPS buoys with the Continuous Wavelet Transform

    NASA Astrophysics Data System (ADS)

    Chida, Y.; Takagawa, T.

    2017-12-01

    The observation data of GPS buoys which are installed in the offshore of Japan are used for monitoring not only waves but also tsunamis in Japan. The real-time data was successfully used to upgrade the tsunami warnings just after the 2011 Tohoku earthquake. Huge tsunamis can be easily detected because the signal-noise ratio is high enough, but moderate tsunami is not. GPS data sometimes include the error waveforms like tsunamis because of changing accuracy by the number and the position of GPS satellites. To distinguish the true tsunami waveforms from pseudo-tsunami ones is important for tsunami detection. In this research, a method to reduce misdetections of tsunami in the observation data of GPS buoys and to increase the efficiency of tsunami detection was developed.Firstly, the error waveforms were extracted by using the indexes of position dilution of precision, reliability of GPS satellite positioning and satellite number for calculation. Then, the output from this procedure was used for the Continuous Wavelet Transform (CWT) to analyze the time-frequency characteristics of error waveforms and real tsunami waveforms.We found that the error waveforms tended to appear when the accuracy of GPS buoys positioning was low. By extracting these waveforms, it was possible to decrease about 43% error waveforms without the reduction of the tsunami detection rate. Moreover, we found that the amplitudes of power spectra obtained from the error waveforms and real tsunamis were similar in the component of long period (4-65 minutes), on the other hand, the amplitude in the component of short period (< 1 minute) obtained from the error waveforms was significantly larger than that of the real tsunami waveforms. By thresholding of the short-period component, further extraction of error waveforms became possible without a significant reduction of tsunami detection rate.

  13. A new GNSS-enabled floating device as a means for retrieving river bathymetry by assimilation into a hydrodynamic model

    NASA Astrophysics Data System (ADS)

    Hostache, R.; Matgen, P.; Giustarini, L.

    2012-04-01

    Hydrodynamic models form an important component in flood forecasting systems. Model predictions with reduced uncertainty critically depend on the availability of detailed information about floodplain topography and riverbed bathymetry. While digital elevation models with varying spatial resolutions and accuracy levels are readily available at a global scale and can be used to infer floodplain geometry, bathymetric data is often not available and ground surveys are time and resource intensive. In this general context, our study aims at evaluating the hydrometric value of the Global Navigation Satellite System (GNSS) for bathymetry retrieval. Integrated with satellite telecommunication systems, drifting or anchored floaters equipped with navigation systems such as GPS and Galileo, enable the quasi-continuous measurement and near real-time transmission of water levels and flow velocities, virtually from any point in the world. The presented study investigates the potential of assimilating GNSS-derived water level measurements into a hydraulic model in order to estimate river bathymetry. First, an ensemble of possible bathymetries and roughness parameters was randomly generated using a Monte-Carlo sampling approach. Next, water level measurements provided by a drifting GNSS-equipped buoy were assimilated into a hydrodynamic model using as input a recorded discharge hydrograph and as geometry the generated bathymetry ensemble. Synthetic experiments were carried out with a one-dimensional hydraulic model implemented over a 19 km reach of the Alzette River. A Particle Filter was used as an assimilation algorithm for integrating observation data into the hydraulic model. The synthetic observation, simulating the data obtained from GNSS measurements, was generated using a perturbed forward run of the hydrodynamic model using the true bathymetry (ground survey). The scenario adopted in the data assimilation experiment assumed that during a flood event, a buoy was launched into the water every ten hours. This frequency was considered plausible as the time needed for the buoy to drift from the upstream to the downstream end of the study area is estimated to be less than 6 h. Consequently, a time window of 10 h would allow an operator to launch the buoy at the upstream end, recover it at the downstream end and finally drive back to the upstream end and launch it again into the river channel.This synthetic observation was then assimilated into the hydraulic model. The first results were promising as sequentially assimilating the water level values provided by the synthetic GNSS-equipped buoy allowed gradually rejecting wrong bathymetries and converging toward bathymetries that are consistent with the ground surveyed one.

  14. 50 CFR 600.746 - Observers.

    Code of Federal Regulations, 2012 CFR

    2012-10-01

    ... USCG regulations: (1) Personal flotation devices/ immersion suits; (2) Ring buoys; (3) Distress signals; (4) Fire extinguishing equipment; (5) Emergency position indicating radio beacon (EPIRB), when...

  15. 50 CFR 600.746 - Observers.

    Code of Federal Regulations, 2014 CFR

    2014-10-01

    ... USCG regulations: (1) Personal flotation devices/ immersion suits; (2) Ring buoys; (3) Distress signals; (4) Fire extinguishing equipment; (5) Emergency position indicating radio beacon (EPIRB), when...

  16. FIRE_AX_SOF_SUR_MET

    Atmospheric Science Data Center

    2015-11-25

    ... Buoy Instrument:  Barometer Sonic Anemometer Thermistor Spatial Coverage:  (34.60, ... Earthdata Search Parameters:  Dry Bulb Temperature Pressure Sea Surface Temperature Wet Bulb Temperature ...

  17. Time Lapse Photography From Arctic Buoys

    NASA Astrophysics Data System (ADS)

    Valentic, T. A.; Matrai, P.; Woods, J. E.

    2013-12-01

    We have equipped a number of buoys with cameras that have been deployed throughout the Arctic. These systems need to be simple, reliable and low power. The images are transmitted over an Iridium satellite link and assembled into long running movies. We have captured a number of interesting events, observed the ice dynamics through the year and visits by local wildlife. Each of the systems have been deployed for periods of up to a year, with images every hour. The cameras have proved to be a great outreach tool and are routinely watched by number of people on our websites. This talk will present the techniques used in developing these camera systems, the methods used for reliably transmitting the images and the process for generating the movies.

  18. Recent improvements in earthquake and tsunami monitoring in the Caribbean

    NASA Astrophysics Data System (ADS)

    Gee, L.; Green, D.; McNamara, D.; Whitmore, P.; Weaver, J.; Huang, P.; Benz, H.

    2007-12-01

    Following the catastrophic loss of life from the December 26, 2004, Sumatra-Andaman Islands earthquake and tsunami, the U.S. Government appropriated funds to improve monitoring along a major portion of vulnerable coastal regions in the Caribbean Sea, the Gulf of Mexico, and the Atlantic Ocean. Partners in this project include the United States Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the Puerto Rico Seismic Network (PRSN), the Seismic Research Unit of the University of the West Indies, and other collaborating institutions in the Caribbean region. As part of this effort, the USGS is coordinating with Caribbean host nations to design and deploy nine new broadband and strong-motion seismic stations. The instrumentation consists of an STS-2 seismometer, an Episensor accelerometer, and a Q330 high resolution digitizer. Six stations are currently transmitting data to the USGS National Earthquake Information Center, where the data are redistributed to the NOAA's Tsunami Warning Centers, regional monitoring partners, and the IRIS Data Management Center. Operating stations include: Isla Barro Colorado, Panama; Gun Hill Barbados; Grenville, Grenada; Guantanamo Bay, Cuba; Sabaneta Dam, Dominican Republic; and Tegucigalpa, Honduras. Three additional stations in Barbuda, Grand Turks, and Jamaica will be completed during the fall of 2007. These nine stations are affiliates of the Global Seismographic Network (GSN) and complement existing GSN stations as well as regional stations. The new seismic stations improve azimuthal coverage, increase network density, and provide on-scale recording throughout the region. Complementary to this network, NOAA has placed Deep-ocean Assessment and Reporting of Tsunami (DART) stations at sites in regions with a history of generating destructive tsunamis. Recently, NOAA completed deployment of 7 DART stations off the coasts of Montauk Pt, NY; Charleston, SC; Miami, FL; San Juan, Puerto Rico; New Orleans, LA; and Bermuda as part of the U.S. tsunami warning system expansion. DART systems consist of an anchored seafloor pressure recorder (BPR) and a companion moored surface buoy for real-time communications. The new stations are a second-generation design (DART II) equipped with two- way satellite communications that allow NOAA's Tsunami Warning Centers to set stations in event mode in anticipation of possible tsunamis or retrieve the high-resolution (15-s intervals) data in one-hour blocks for detailed analysis. Combined with development of sophisticated wave propagation and site-specific inundation models, the DART data are being used to forecast wave heights for at-risk coastal communities. NOAA expects to deploy a total of 39 DART II buoy stations by 2008 (32 in the Pacific and 7 in the Atlantic, Caribbean and Gulf regions). The seismic and DART networks are two components in a comprehensive and fully-operational global observing system to detect and warn the public of earthquake and tsunami threats. NOAA and USGS are working together to make important strides in enhancing communication networks so residents and visitors can receive earthquake and tsunami watches and warnings around the clock.

  19. The Global Drifter Program Currents, Sea Surface Temperature, Atmospheric Pressure and Waves in the World's OceanThe Global Drifter Program Currents, Sea Surface Temperature, Atmospheric Pressure and Waves in the World's Ocean

    NASA Astrophysics Data System (ADS)

    Centurioni, Luca

    2017-04-01

    The Global Drifter Program is the principal component of the Global Surface Drifting Buoy Array, a branch of NOAA's Global Ocean Observing System and a scientific project of the Data Buoy Cooperation Panel (DBCP). The DBCP is an international program coordinating the use of autonomous data buoys to observe atmospheric and oceanographic conditions over ocean areas where few other measurements are taken. The Global Drifter Program maintains an array of over 1,250 Lagrangian drifters, reporting in near real-time and designed measure 15 m depth Lagrangian currents, sea surface temperature (SST) and sea level atmospheric pressure (SLP), among others, to fulfill the needs to observe the air-sea interface at temporal and spatial scales adequate to support short to medium-range weather forecasting, ocean state estimates and climate science. This overview talk will discuss the main achievements of the program, the main impacts for satellite SST calibration and validation, for numerical weather prediction, and it will review the main scientific findings based on the use of Lagrangian currents. Finally, we will present new developments in Lagrangian drifter technology, which include special drifters designed to measure sea surface salinity, wind and directional wave spectra. New opportunities for expanding the scope of the Global Drifter Program will be discussed.

  20. Mechanical sea-ice strength parameterized as a function of ice temperature

    NASA Astrophysics Data System (ADS)

    Hata, Yukie; Tremblay, Bruno

    2016-04-01

    Mechanical sea-ice strength is key for a better simulation of the timing of landlock ice onset and break-up in the Canadian Arctic Archipelago (CAA). We estimate the mechanical strength of sea ice in the CAA by analyzing the position record measured by the several buoys deployed in the CAA between 2008 and 2013, and wind data from the Canadian Meteorological Centre's Global Deterministic Prediction System (CMC_GDPS) REforecasts (CGRF). First, we calculate the total force acting on the ice using the wind data. Next, we estimate upper (lower) bounds on the sea-ice strength by identifying cases when the sea ice deforms (does not deform) under the action of a given total force. Results from this analysis show that the ice strength of landlock sea ice in the CAA is approximately 40 kN/m on the landfast ice onset (in ice growth season). Additionally, it becomes approximately 10 kN/m on the landfast ice break-up (in melting season). The ice strength decreases with ice temperature increase, which is in accord with results from Johnston [2006]. We also include this new parametrization of sea-ice strength as a function of ice temperature in a coupled slab ocean sea ice model. The results from the model with and without the new parametrization are compared with the buoy data from the International Arctic Buoy Program (IABP).

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