National Oceanic and Atmospheric Administration
L o a d i n g
The National Oceanic and Atmospheric Administration is an American scientific agency within the United States Department of Commerce focused on the conditions of the oceans and the atmosphere. NOAA warns of dangerous weather, charts seas, guides the use and protection of ocean and coastal resources, and conducts research to improve understanding and stewardship of the environment.
Available DatasetsShowing 75 of 75 results
- Twice-weekly 50 km satellite coral bleaching thermal stress monitoring data. Data from 227 stations. https://web.archive.org/web/*/https://coralreefwatch.noaa.gov/satellite/vs/docs/list_vs_group_latlon_201103.php1Licence not specifiedover 2 years ago
- See the Hadley Centre for more details. The air temperature page is from monthly station temperature time series. A version that is variance corrected (CRUTEM3V) is available. The technique for the variance adjusted dataset can be found at Jones et. al (2001). https://web.archive.org/web/*/https://esrl.noaa.gov/psd/data/gridded/data.crutem3.html1Licence not specifiedover 2 years ago
- Assessment of stock of various types of fish over time from the NOAA Species Information System. https://web.archive.org/web/*/https://www.st.nmfs.noaa.gov/sisPortal/1Licence not specifiedover 2 years ago
- NOAA's Marine Protected Areas Inventory (MPA Inventory) describes all MPAs in U.S. waters, specifying where they are and what they do. This comprehensive geospatial database combines publicly available data with information from state and federal MPA programs. It can be used to view MPAs; explore status and trends of MPAs; create customized maps and analytical products; or add MPAs to data portals, online viewers, and other spatial data visualizations. The 2015 MPA Inventory can be accessed via (1) interactive data viewer: Searchable online visualization application; (2) downloadable GIS data: ESRI shapefile or geodatabase; (3) downloadable tabular data: Excel spreadsheet (no spatial reference); and (4) web mapping services: Series of layers with a range of display options __Connected to Sustainable Development Goal Indicator 14.5.1 - Coverage of protected areas in relation to marine areas__ https://web.archive.org/web/*/http://marineprotectedareas.noaa.gov/dataanalysis/mpainventory/1Licence not specifiedover 2 years ago
- The monthly data set consists of a file containing monthly averaged soil moisture water height equivalents. Note that data is model-calculated and not measured directly. The dataset is now V2. There are some differences with the previous version, particularly over Africa. The V2 version also has the landmask applied to the data values. https://web.archive.org/web/*/https://esrl.noaa.gov/psd/data/gridded/data.cpcsoil.html1Licence not specifiedover 2 years ago
- May 6, 2013 Proving Ground All Hands Teleconference for the Geostationary Operational Environmental Satellite - R Series (GOES-R) including brochures and PowerPoint presentations. https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-05-06-PG-AH.html1Licence not specifiedover 2 years ago
- Geostationary Operational Environmental Satellite - R Series (GOES-R). A collaborative program of NOAA and NASA. Proving Ground all hands teleconference. https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-07-01-PG-AH.html1Licence not specifiedover 2 years ago
- National Severe Storms Laboratory (NSSL) Publications Database from 1976 to 2017. This data lists journal and conference publications (3393 results) produced by federal and Cooperative Institute for Mesoscale Meteorological Studies (CIMMS) personnel. The zipped file includes the list as PDF and Excel spreadsheet with some links to the documents but not the publications themselves. https://web.archive.org/web/*/http://www.nssl.noaa.gov/publications/listings.php1Licence not specifiedover 2 years ago
- Data are graph images of Temperature (C), Depth (M), and Salinity (PSU) for weather buoy station 01504 (operated by UMass) at Lat 41.232N, Long 71.045W, covering the time period of 9/06/2013 - 9/26/2013 https://web.archive.org/web/*/http://www.ndbc.noaa.gov/station_history.php?station=015041Licence not specifiedover 2 years ago
- Powerpoint slides from a 2013 conference on providing warnings for severe weather from the National Severe Storms Library.1Licence not specifiedover 2 years ago
- Images (charts and graphs) with salinity/depth/temperature data. Data taken from the National Oceanic and Atmospheric Administration's National Data Buoy Center. This station is part of the Woods Hole Oceanographic Institution Stations.https://web.archive.org/web/*/http://www.ndbc.noaa.gov/station_history.php?station=015031Licence not specifiedover 2 years ago
- This site has news, photos, and other information about selected oil spills (and other incidents) where NOAA's Office of Response and Restoration (OR&R) provided scientific support for the incident response. It contains information on thousands of historical incidents spanning 30 years of OR&R spill response. https://web.archive.org/web/*/https://incidentnews.noaa.gov/1Licence not specifiedover 2 years ago
- Wind, Evaporation, Amount of Sky Cover Information by State for the Western U.S. (Comparative) https://web.archive.org/web/*/http://www.wrcc.dri.edu/climatedata/tables/1Licence not specifiedover 2 years ago
- These are photos from development of latest GOES satellites. The operational data (not yet available) will be of the most value. These pictures are of lower value. GOES satellites are for weather and climate data.1Licence not specifiedover 2 years ago
- JPSS and GOES-R Activities Supporting 2013 Fire Outbreaks presentation.https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_04_21.html1Licence not specifiedover 2 years ago
- Since 2008, MRIP has funded survey improvement projects and survey program reviews in all regions of the U.S. and its Territories. Projects span everything from utilizing electronic reporting tools to mail surveys to increasing precision of estimates. On this page, you can find all funded projects since 2008, read project plans, final reports, and monthly updates.https://web.archive.org/web/*/http://www.st.nmfs.noaa.gov/recreational-fisheries/MRIP/mrip-project1Licence not specifiedover 2 years ago
- Data are graph images of Temperature (C), Depth (M), and Salinity (PSU) from buoy station 01518 (operated by Rutgers) at Lat 39.616N, Long 73.650W, covering the time period of 04/22/2014 to 07/07/2014. https://web.archive.org/web/*/http://www.ndbc.noaa.gov/station_history.php?station=015181Licence not specifiedover 2 years ago
- Global Surface Summary of the Day is derived from The Integrated Surface Hourly (ISH) dataset. The ISH dataset includes global data obtained from the USAF Climatology Center, located in the Federal Climate Complex with NCDC. The latest daily summary data are normally available 1-2 days after the date-time of the observations used in the daily summaries. The online data files begin with 1929 and are at the time of this writing at the Version 8 software level. Over 9000 stations' data are typically available. https://web.archive.org/web/*/https://www7.ncdc.noaa.gov/CDO/cdoselect.cmd?datasetabbv=GSOD&countryabbv=&georegionabbv=1Licence not specifiedover 2 years ago
- PDSI from the Dai dataset. The Palmer Drought Severity Index (PDSI) is devised by Palmer (1965) to represent the severity of dry and wet spells over the U.S. based on monthly temperature and precipitation data as well as the soil-water holding capacity at that location. These data consist of the monthly PDSI over global land areas from 1850 to 2010. Different precipitation/temperature datasets are used in the different files. Update and more information are available at CGD (Climate and Global Dynamics Division). https://web.archive.org/web/*/https://esrl.noaa.gov/psd/data/gridded/data.pdsi.html1Licence not specifiedover 2 years ago
- Annual estimates are available for marine recreational fishing trip expenditures and durable equipment expenditures for the years 2006 through 2012. They are in nominal dollars, which are not adjusted for inflation. Marine recreational expenditures are categorized into the following expenditure types: for-hire trips, private boat trips, shore trips, and durable equipment expenditures related to marine recreational fishing, which include expenditures on fishing tackle and gear, fishing related equipment, boats, vehicles, and second homes. Contains 224 html files with Recreational Angler Trip & Durable Equipment Expenditures. NOTE: Missing data for Seafood Industry and Recreational fishing impacts. https://web.archive.org/web/*/https://www.st.nmfs.noaa.gov/apex/f?p=160:1:01Licence not specifiedover 2 years ago
- A list of North Atlantic Right Whale sightings used to produce an interactive map. Dates range from 02 FEB 1907 to 25 JAN 2017. https://web.archive.org/web/*/http://www.nefsc.noaa.gov/psb/surveys/1Licence not specifiedover 2 years ago
- The 2013 GOES-R Geostationary Lightning Mapper (GLM) science team meeting was held September 24-26 at the University of Alabama in Huntsville/NASA Marshall Space Flight Center (MSFC) facility in Huntsville, AL. A broad representation of research and operational scientists (in-person or via Webex) from NOAA NESDIS, GOES-R, National Weather Service (NWS), Office of Atmospheric Research (OAR), NASA, Instituto Nacional de Pesquisas Espaciais (InPE Brazil), European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), universities, and NWS commercial data providers participated. Sessions and presentations addressed lightning science and forecast/warning applications, forecaster use of total lightning at the Proving Grounds, calibration/validation and proposed field campaigns (national and international), and training.https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-GLM.html1Licence not specifiedover 2 years ago
- The Geostationary Operational Environmental Satellite - R Series is a collaborative project of NOAA and NASA. The Virtual Forcaster Forum 2014 was titled GOES-R/JPSS Proving Ground, and there were four presentations highlighted under the theme: Monitoring Convective Initiation. https://web.archive.org/web/*/http://www.goes-r.gov/users/2014-01-27-PG-VFF.html1Licence not specifiedover 2 years ago
- Geostationary Operational Environmental Satellite - R Series (GOES-R) Science Seminar, co presented by NOAA and NASA. Satellite Hydrology and Water Cycle.https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_05_30.html1Licence not specifiedover 2 years ago
- Great Lakes temperature and precipitation forecast tools. History from 08-2011 - 05-2016 Forecasts with initiation from 08-2011 to 01-2017 https://web.archive.org/web/*/https://www.glerl.noaa.gov/data/climateForecasts/1Licence not specifiedover 2 years ago
- The NOAA Satellite Conference (NSC) for Direct Readout, GOES/POES, and GOES-R/JPSS Users was held April 8-12, 2013 at the NOAA Center for Weather and Climate Prediction (NCWCP) in College Park, Maryland. Over 500 attendees including product developers, researchers, scientists, forecasters, engineers, and satellite data users representing government, academia, the international community and industry were present during the week. This conference was responsible for bringing together the satellite operations, science, and user communities to share knowledge and best practices in using the existing satellite systems and to prepare for the next generation of NOAA Satellites. https://web.archive.org/web/*/http://satelliteconferences.noaa.gov/2013/index.html1Licence not specifiedover 2 years ago
- Presentations from a meeting related to GOES-R weather satellite.https://web.archive.org/web/*/http://www.goes-r.gov/users/2015-OCONUS.html1Licence not specifiedover 2 years ago
- A preliminary look at sea level rise and coastal flooding impacts, through nationally consistent data sets and analyses. The data and maps in this tool illustrate the scale of potential flooding, not the exact location, and do not account for erosion, subsidence, or future construction. Water levels are shown as they would appear during the highest high tides (excludes wind driven tides). https://web.archive.org/web/*/https://coast.noaa.gov/slrdata/1Licence not specifiedover 2 years ago
- NOAA Habitat Restoration Projects (2877 projects). https://web.archive.org/web/*/https://restoration.atlas.noaa.gov/src/html/index.html1Licence not specifiedover 2 years ago
- Agenda, presentation slides, and photos from the 2013 OCONUS (outside the contiguous United States) Proving Ground Meeting held at the University of Alaska in Anchorage June 17-21, 2013. Related to the Geostationary Operational Environmental Satellite - R Series (GOES-R) https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-06-17-OCONUS.html1Licence not specifiedover 2 years ago
- Compiled tables of NOAA Fisheries Statistics Division U.S. commercial fisheries landings from 1950-2015. Each .csv file summarizes the pounds, American Fisheries Society (AFS) species, dollar value, and price per pound of commercial fishery landings for a single state by year and species. Landings for each year are grouped into "finfish" and "shellfish" categories, with the subtotal of the pounds and dollar value of landings for each category. https://web.archive.org/web/*/https://www.st.nmfs.noaa.gov/commercial-fisheries/commercial-landings/annual-landings-with-group-subtotals/index1Licence not specifiedover 2 years ago
- Collection of presentations: GOES-R Proving Ground Status: CIMSS/ASPB Participation; GOES-R Proving Ground: CIRA/RAMMB Progress Report; GOES-R Proving Ground: SPoRT Update; JPSS Proving Ground and Risk Reduction; Overview of Satellite and Above-Boundary Layer Observations1Licence not specifiedover 2 years ago
- Detailed Description:\nSee the Hadley Centre for more details. This version is 4.1.1. The air temperature page is from monthly station temperature time series. A version that is variance corrected (CRUTEM4V) is available. The technique for the variance adjusted dataset can be found at Jones et. al (2001).\nNote the companion dataset HADCRUT4 Combined Air Temperature/SST Anomalies. Also note that if you would like a climatology, there is a 1961-1990 LTM file based on the HADCRUT2V data.\nRelated Datasets\n\nTemporal Coverage:\nMonthly anomalies and statistics from 1850/01 to near present.\nSpatial Coverage:\n5.0 degree latitude x 5.0 degree longitude global grid (72x36).\n87.5S - 87.5N, 177.5W - 177.5E.\n\nLevels:\nSurface\nUpdate Schedule:\nMonthly\n\n2017-05-19 12:57 @maglau https://web.archive.org/web/*/https://esrl.noaa.gov/psd/data/gridded/data.crutem4.html1Licence not specifiedover 2 years ago
- National Snow & Ice Data Center - scientific data about the Earth's frozen regions. 1044 data sets available.https://web.archive.org/web/*/http://nsidc.org/data1Licence not specifiedover 2 years ago
- NAUPLIUS ties together data and visualization components from the COPEPOD, COPEPODITE, and ECHO projects, creating a comprehensive ecosystem overview from hydrography to biology, using data ranging from in-situ measurements to satellite to model output, visualized using spatial mean fields, time series, and animation, all available through an interactive interface, and downloadable in a variety of temporal and spatial resolutions.https://web.archive.org/web/*/http://www.st.nmfs.noaa.gov/nauplius/1Licence not specifiedover 2 years ago
- Societal Benefits of the New Generation of LEO and GEO Environmental Satellites, GOES-R Posters, Satellite Program Overviews and Status, Combining Information from Environmental Satellites for Unique Products, Improved NWP Performance Using the New Generation of Environmental Satellites, JPSS Posters, Ninth Annual Symposium on Future Operational Environmental Satellite Systems, The Sixth Conference on the Meteorological Application of Lightning Data, Use of Total Lightning Data to Improve Short Term Prediction of Severe and High Impact Weather, Third Conference on Transition of Research to Operations: Successes, Plans, and Challenges, Satellite Ground Data Processing System Transitions from Research to Operations, Preparing User Communities for the New Generation of LEO and GEO Environmental Satellites, 29th Conference on Environmental Information Processing Technologies, User System Readiness for Exploiting the New Generation of Environmental Satellites, Third Conference on Transition of Research to Operations for the Atmosphere, Oceans, and Land Surface, Research to Operations Pathway for Satellite Data Retrieval Algorithms, Town Hall Presentations https://web.archive.org/web/*/http://www.goes-r.gov/users/past-2013-01-05.html1Licence not specifiedover 2 years ago
- Presentations and other handouts from the 2014 Geostationary Lightning Mapper (GLM) Science Team Meeting at the National Weather Center in Norman, OK on June 21, 2014https://web.archive.org/web/*/http://www.goes-r.gov/users/2014-GLM.html1Licence not specifiedover 2 years ago
- Two GOES-R science seminar presentations, including slides and abstracts, from January 24, 2014. The first presentation is by Chad Gravelle, "Using GOES-R Demonstration Products to “Bridge the Gap” Between Severe Weather Watches and Warnings for the 20 May 2013 Moore, OK Tornado Outbreak." The second presentation is by William Line, "GOES-R Proving Ground Activities within the Storm Prediction Center and Hazardous Weather Testbed."https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_01_24.html1Licence not specifiedover 2 years ago
- Eight power point presentations from the 2015 American Meteorological Society (AMS) Short Course: Preview for Broadcasters, a day-long session preceding the 43rd American Meteorological Society (AMS) Conference on Broadcast Meteorology in Raleigh, North Carolina. https://web.archive.org/web/*/http://www.goes-r.gov/users/2015_AMS-GOES-R-Short-Course.html1Licence not specifiedover 2 years ago
- Bench mark data sheets from the NOAA Center for Operational Oceanographic Products and Services "Tides and Currents" webpage. These are physical references that are key for interpreting water level data. Includes information from U.S. coastal monitoring stations, Bermuda, and Diego Garcia.https://web.archive.org/web/*/https://tidesandcurrents.noaa.gov/stations.html?type=Bench%20Mark%20Data%20Sheets1Licence not specifiedover 2 years ago
- These nationally standardized, raster-based inventories cover coastal intertidal areas, wetlands, and adjacent uplands for the coastal U.S. Data are derived from the analysis of multiple dates of remotely sensed Landsat imagery. There are two types of files available: individual dates of land cover that supply a wall-to-wall map for each area, and change files that compare one date to another in order to highlight where and what type of land cover change occurred between those dates. These data products are updated every five years and are produced through documented, repeatable procedures using standardized data and methods to ensure consistency through time and across geographies. https://web.archive.org/web/*/https://coast.noaa.gov/dataregistry/search/collection/info/ccapregional1Licence not specifiedover 2 years ago
- This is a conference schedule with list of speakers/talks and associated video, pdfs, presentations, etc.1Licence not specifiedover 2 years ago
- National Data Buoy Center historical images (charts and graphs) on ocean salinity/depth/temperature data recorded at station number 58907, owned and operated by the University of Washington. Plot data covers the period of Oct. 2, 2014 through Jan. 13, 2017.1Licence not specifiedover 2 years ago
- Fifteen minute precipitation data is available for over 2,400 stations located across the United States, Puerto Rico, the Virgin Islands and the United States protectorates in the Pacific. This digital file began in May of 1971 as the TD-9927 file, and continued through December 1983 when it was then merged into DS-3260. Data are archived in a variable length element file structure. Archived data are currently sorted by Station-ID (excluding the Division Number) as the primary key and year, month, and day as secondary keys. It must be noted that NCDC has the observations from the time the station opened, but the NWS has the current data. Official surface weather observation standards can be found in the Federal Meteorological Handbook. Each logical record contains one day of one station's 15-minute data values for a specific meteorological element. The record consists of a control word and identification portion, and a data portion. The control word is used for record length determination. The identification portion identifies the observing station, year and record element code. The data portion contains the meteorological observation for the 15-minute precipitation value and flags. The data portion is repeated for as many values as occur in the given time interval. https://web.archive.org/web/*/https://www1.ncdc.noaa.gov/pub/data/15min_precip-32601Licence not specifiedover 2 years ago
- These hourly measurements of atmospheric and oceanic data were captured from the index of NOAA-GLERL. They include data from the Real-Time Meteorological Observation Network (RTMON) and NOAA's webcams. https://web.archive.org/web/*/https://www.glerl.noaa.gov//metdata/status/status_archive/1Licence not specifiedover 2 years ago
- The GISS Surface Temperature Analysis (GISTEMP) is an estimate of global surface temperature change. Graphs and tables are updated around the middle of every month using current data files from NOAA GHCN v3 (meteorological stations), ERSST v4 (ocean areas), and SCAR (Antarctic stations), combined.https://web.archive.org/web/*/https://data.giss.nasa.gov/gistemp/1Licence not specifiedover 2 years ago
- Geostationary Operational Environmental Satellite - R Series (GOES-R) Science Seminar of February 28, 2014. https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_02_28.html1Licence not specifiedover 2 years ago
- This Climate Data Record (CDR) contains total solar irradiance (TSI) as a function of time created with the Naval Research Laboratory model for spectral and total irradiance (version 2). The daily- and monthly-averaged TSI data range from 1882 to the present, and annual-averaged TSI data begin in 1610. The data file format is netCDF-4 following CF metadata conventions. The dataset is accompanied by algorithm documentation, data flow diagram and source code for the NOAA CDR Program.https://web.archive.org/web/*/https://data.giss.nasa.gov/gistemp/1Licence not specifiedover 2 years ago
- This link provides access to what is referred to as "divisional" climate data. Climate divisions are relatively small regions (e.g. the Hudson Valley region of New York State). It is derived from daily data from stations, which are the highest priority. This data set is also a high priority record of historical climate variations.https://web.archive.org/web/*/https://www7.ncdc.noaa.gov/CDO/CDODivisionalSelect.jsp1Licence not specifiedover 2 years ago
- "Type(s) of content in package": "National Oceanic and Atmospheric Administration (NOAA): National Data Buoy Center (NDBC); National Weather Service (NWS); Tropical Atmosphere/Ocean (TAO) array; Distributed Oceanographic Data Systems (DODS); OceanSITES; Voluntary Observing Ship (VOS) Program; Coastal Storms Program (CSP).\nNDBC designs, develops, operates, and maintains a network of data collecting buoys and coastal stations." https://web.archive.org/web/*/http://ndbc.noaa.gov1Licence not specifiedover 2 years ago
- National Data Buoy Center historical plot data (graphs, charts) with ocean salinity/depth/temperature information recorded at station number 48905, owned and operated by COMPS (University of Southern Florida), from the period June 8, 2010 through July 12, 2010. https://web.archive.org/web/*/https://drp-upload-bagger.s3.amazonaws.com/remote/DA7C922C-A32B-4380-B8E2-F5DA009A7A0F.zip1Licence not specifiedover 2 years ago
- These state summaries were produced to meet a demand for state-level information in the wake of the Third U.S. National Climate Assessment, released in 2014. The summaries cover assessment topics directly related to NOAA’s mission, specifically historical climate variations and trends, future climate model projections of climate conditions during the 21st century, and past and future conditions of sea level and coastal flooding. Additional background information and links are given below. Package includes state summaries, station locations, and supplementary documentation. These NOAA State Summaries were produced in response to a growing demand for state-level information in the context of the Third National Climate Assessment (NCA) and subsequent sustained activities. They consist of observed and projected climate change information and focus on aspects that are part of NOAA’s mission (mainly characteristics of the physical climate and coastal issues). The NCA activities derive from the U.S. Global Change Research Act (GCRA) of 1990. One of the activities spelled out in that Act is a quadrennial assessment that “analyzes current trends in global change, both human-inducted and natural, and projects major trends for the subsequent 25 to 100 years.” These state summaries support NCA activities and, deriving from the charge in the GCRA, contain information both on historical trends and scientific knowledge about potential future trends. While the datasets and simulations in these state summaries are not, by themselves, new, (they have been previously published in various sources), these documents represent a targeted synthesis of historical and plausible future climate conditions for each U.S. state. Each summary consists of a description of the historical climate conditions in the state, as well as that of the climate conditions associated with future pathways of greenhouse gas emissions. All 50 summaries underwent an anonymous review, with at least two expert reviews completed per state. https://web.archive.org/web/*/https://statesummaries.ncics.org/1Licence not specifiedover 2 years ago
- Plots temperature and salinity as a function of depth at Station 48907 - (COOK) as PNG files. Measurements were taken by the Slocum Glider, an autonomous underwater vehicle, about every three hours between 2010-05-27 and 2010-07-07. https://web.archive.org/web/*/http://www.ndbc.noaa.gov/station_history.php?station=489071Licence not specifiedover 2 years ago
- The Precipitation Frequency Data Server (PFDS) is a point-and-click interface developed to deliver NOAA Atlas 14 precipitation frequency estimates and associated information. Upon clicking a state on the map above or selecting a state name from the drop-down menu, an interactive map of that state will be displayed. From there, a user can identify a location for which precipitation frequency estimates are needed. Estimates and their confidence intervals can be displayed directly as tables or graphs via separate tabs. Links to supplementary information (such as ASCII grids of estimates, associated temporal distributions of heavy rainfall, time series data at observation sites, cartographic maps, etc.) can also be found. Section 5 of the NOAA Atlas 14 documents provides additional information on the underlying data and functioning of the PFDS. https://web.archive.org/web/*/http://hdsc.nws.noaa.gov/hdsc/pfds/1Licence not specifiedover 2 years ago
- The annual GOES-R Geostationary Lightning Mapper (GLM) Science Team Meeting was held June 21, 2014, following the International Association of Meteorology and Atmospheric Sciences Conference on Atmospheric Electricity (ICAE), at the National Weather Center in Norman, Oklahoma. The meeting was held to inform the international community of the program status, calibration and validation plans, and user readiness activities for GLM. More than 60 scientists from 20 countries attended, including NOAA, InPE (Brazil), JMA (Japan), CMA (China), and EUMETSAT (Europe). https://web.archive.org/web/*/http://www.goes-r.gov/users/2014-GLM.html1Licence not specifiedover 2 years ago
- Proceedings from the Geostationary Operational Environmental Satellite -- R Series, July 26, 2013. A collaborative program of NOAA and NASA. https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-GLM.html1Licence not specifiedover 2 years ago
- Geostationary Operational Environmental Satellite - R Series (GOES-R). A collaborative program of NOAA and NASA. Proving Ground all hands teleconference.https://web.archive.org/web/*/http://www.goes-r.gov/users/2013-03-04-PG-AH.html1Licence not specifiedover 2 years ago
- PowerPoint files from the 2016 American Meteorological Society (AMS) Short Course: GOES-R Preview for Broadcasters. Presented at the AMS 44TH Conference on broadcast meteorology. The Geostationary Operational Environmental Satellite-R Series (GOES-R) is the nation’s next generation of geostationary weather satellites. https://web.archive.org/web/*/http://www.goes-r.gov/users/AMS-2016_BroadcastersShortCourse.html1Licence not specifiedover 2 years ago
- Data about the Prototype receiver’s hardware design, its software design and the testing performed to verify the receiver meets the performance requirements for the various services. Includes Notice Regarding Use of ETTUS Corp Documentation.1Licence not specifiedover 2 years ago
- This Ship Observations Report covers 12 hours of January 28, 2017. Each text file includes the data from one hour of the day. Observation data description (the codebook for the variables) is included as a secondary file and was not included in the original data download of the Ship Observations Report. https://web.archive.org/web/*/http://www.ndbc.noaa.gov/ship_obs.php?uom=E1Licence not specifiedover 2 years ago
- Pacific Ocean Weather Data captured by NOAA Buoys. The TAO array (renamed the TAO/TRITON array on 1 January 2000) consists of approximately 70 moorings in the Tropical Pacific Ocean, telemetering oceanographic and meteorological data to shore in real-time via the Argos satellite system. The array is a major component of the El Niño/Southern Oscillation (ENSO) Observing System, the Global Climate Observing System (GCOS) and the Global Ocean Observing System (GOOS). Support is provided primarily by the United States (National Oceanic and Atmospheric Administration) and Japan (Japan Agency for Marine-earth Science and TEChnology) with additional contributions from France (Institut de recherche pour le developpement).1Licence not specifiedover 2 years ago
- This map presents an interactive visualization of indicators for Social Vulnerability, Gentrification Pressure, Sea Rise Vulnerability, and Fishing Engagement and Reliance in coastal communities in the US. Social indicators are numerical measures that describe the well-being of individuals or communities. Indicators are comprised of one variable or several components combined into an index. They are used to describe and evaluate community well-being in terms of social, economic, and psychological welfare. These indicators have been updated to include all communities in coastal counties in the United States. They provide a characterization of the well-being and level of dependence on commercial and recreational fishing for over 3,800 communities. The index score for a particular community is relative to all communities in the index and would differ with a more regional focus. https://web.archive.org/web/*/http://www.st.nmfs.noaa.gov/humandimensions/social-indicators/map1Licence not specifiedover 2 years ago
- Documents from meetings related to the Geostationary Operational Environmental Satellite-R series (GOES-R) weather satellite constellation. GOES-R is now GOES-16. Includes CIMMS, CIRA, SPoRT, JPSS, and High Latitude/GINA updates. https://web.archive.org/web/*/https://www.datarefuge.org/dataset/sept-9-2013-pg-all-hands-meeting1Licence not specifiedover 2 years ago
- Jan 14, 2013 Proving Ground All Hands Teleconference for the Geostationary Operational Environmental Satellite - R Series (GOES-R) including brochures and PowerPoint presentations1Licence not specifiedover 2 years ago
- List of vendors and providers of green power sources.https://web.archive.org/web/*/http://apps3.eere.energy.gov/greenpower/buying/buying_power.shtml1Licence not specifiedover 2 years ago
- Economics: National Ocean Watch (ENOW) provides time-series data on the ocean and Great Lakes economy, which includes six economic sectors dependent on the oceans and Great Lakes. ENOW is available for counties, states, regions, and the nation in a wide variety of formats. Based on data from the Bureau of Labor Statistics and the Bureau of Economic Analysis. Charleston, SC: NOAA Office for Coastal Management.https://web.archive.org/web/*/https://coast.noaa.gov/dataregistry/search/collection/info/enow1Licence not specifiedover 2 years ago
- National Data Buoy Center historical images with salinity/depth/temperature data recorded at station number 923, owned and maintained by Dalhousie University in Halifax, Canada.1Licence not specifiedover 2 years ago
- NOAA data of sea level trends. These are local mean sea level trends, displayed on a map. The Center for Operational Oceanographic Products and Services has been measuring sea level for over 150 years, with tide stations of the National Water Level Observation Network operating on all U.S. coasts. Changes in Mean Sea Level (MSL), either a sea level rise or sea level fall, have been computed at 142 long-term water level stations using a minimum span of 30 years of observations at each location. These measurements have been averaged by month to remove the effect of higher frequency phenomena in order to compute an accurate linear sea level trend. The trend analysis has also been extended to 240 global tide stations using data from the Permanent Service for Mean Sea Level (PSMSL). This work is funded in partnership with the NOAA OAR Climate Observation Division. The mean sea level (MSL) trends measured by tide gauges that are presented on this web site are local relative MSL trends as opposed to the global sea level trend. Tide gauge measurements are made with respect to a local fixed reference level on land; therefore, if there is some long-term vertical land motion occurring at that location, the relative MSL trend measured there is a combination of the global sea level rate and the local vertical land motion. The global sea level trend has been recorded by satellite altimeters since 1992 and the latest calculation of the trend can be obtained from NOAA's Laboratory for Satellite Altimetry, along with maps of the regional variation in the trend. The University of Colorado's Sea Level Research Group compares global sea level rates calculated by different research organizations and provides detailed explanations about the issues involved.1Licence not specifiedover 2 years ago
- 2014 GOES-R Science Seminar presentation and abstract (PDF) by Pao K. Wang from the Department of Atmospheric and Oceanic Sciences at the University of Wisconsin-Madison from October 30, 2014https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_10_30.html1Licence not specifiedover 2 years ago
- Picture gallery documenting the development of the instruments for a weather / climate satellite constellation that was recently launched. Photos on Flickr. #Album description The Space Environment In-Situ Suite (SEISS) is comprised of four sensors on the Geostationary Operational Environmental Satellite R Series (GOES-R) spacecraft that will monitor proton, electron, and heavy ion fluxes at geosynchronous orbit. The information provided by SEISS is critical for assessing the electrostatic discharge (ESD) risk and radiation hazard to astronauts and satellites. In addition to hazard assessment, the information from SEISS can be used to warn of high flux events, mitigating any damage to radio communication. The SEISS instrument suite consists of: the Energetic Heavy Ion Sensor (EHIS), the Magnetospheric Particle Sensors - High and Low (MPS-HI and MPS-LO), and the Solar and Galactic Proton Sensor (SGPS). Data from SEISS will drive solar radiation storm portion of NOAA space weather scales and other alerts and warnings and will improve energetic particle forecasts.https://web.archive.org/web/*/http://www.goes-r.gov/multimedia/instr-Seiss.html1Licence not specifiedover 2 years ago
- The Solar Irradiance Climate Data Record (CDR) (Coddington and Lean, 2015; Coddington et al., 2015) includes a composite observational record of total solar irradiance (TSI) constructed from space-based radiometer composite records between 1978 and 2014 and Total Irradiance Monitor (TIM) (Kopp et al. 2005) observations after the launch of the SOlar Radiation and Climate Experiment (SORCE) (Rottman 2005). The prescribed observational composite is the average of two individual, composite records each constructed separately using different bias corrections and assumptions about the uncertainties and repeatability of the extant solar irradiance database and each first, separately normalized to the SORCE TIM absolute scale by regression analysis prior to the averaging. Frohlich and Lean (1998) describe the Physikalisch-Meteorologisches Observatorium Davos (PMOD) composite and Willson and Mordvinov (2003) the Active Cavity Radiometer Irradiance Monitor (ACRIM) composite. Then, the subset of the average record that overlaps in time with SORCE TIM is replaced by the TIM observations and the assigned uncertainty is that reported by SORCE TIM. For the period of the record prior to the SORCE TIM epoch, the assigned uncertainties are equal to the differences in the PMOD and ACRIM composites (after their normalization to the SORCE TIM scale) plus an added value of 0.5 W m-2 that is the uncertainty of the SORCE TIM's absolute scale. The Solar Irradiance CDR TSI observational composite will be extended in the future by appending TIM observations and their uncertainties. Since exposure and time-dependent degradation is a challenging problem that requires refinements throughout the lifetime of a mission, the time period in the observational TSI composite comprised of TIM data will always trace to the most up-to-date record of the published instrument data. This composite was constructed from the following data versions: SORCE TIM: 17 PMOD: 42_64_1410 ACRIM: 1303291Licence not specifiedover 2 years ago
- 2014 Goes-R Science Seminar December 01, 2014 Low ceiling and visibility is a weather hazard that nearly every forecaster, in nearly every National Weather Service (NWS) Weather Forecast Office (WFO), must regularly address. In addition, national forecast centers such as the Aviation Weather Center (AWC) Alaska Aviation Weather Unit (AAWU), and the Ocean Prediction Center (OPC) are responsible for issuing low ceiling and visibility related products. As such, reliable methods for detecting and characterizing hazardous low clouds are needed. Traditionally, hazardous areas of Fog/Low Stratus (FLS) are identified using a simple stand-alone satellite product that is constructed by subtracting the 3.9 and 11 m brightness temperatures. The 3.9-11 m brightness temperature difference (BTD) has several major limitations. In an effort to address the limitations of the BTD product, the GOES-R Algorithm Working Group (AWG) developed an approach that fuses satellite, Numerical Weather Prediction (NWP) model, Sea Surface Temperature (SST) analyses, and other data sets (e.g. digital surface elevation maps, surface emissivity maps, and surface type maps) to determine the probability that Instrument Flight Rules (IFR) conditions are present. IFR conditions are characterized by a cloud ceiling below 1000 ft and/or a surface visibility less than 3 miles. Satellite and non-satellite predictors are used in a naïve Bayes model to determine the probability of IFR at the resolution of the satellite data. The GOES-R fog/low cloud algorithm is an enterprise system in that it can use satellite data from a variety of current data sensors (VIIRS, GOES, MTSAT, MODIS, AVHRR and SEVIRI) and future operational sensors (ABI and AHI) and NWP data from a variety of models (GFS, RUC, and RAP). In addition, recent research aimed at blending GOES with VIIRS to create a very high-resolution depiction of fog boundaries within valleys has shown great promise. The FLS products are available in AWIPS and have been evaluated within NWS operations during the last three years as part of the Satellite Proving Ground. Forecaster feedback collected so far has been predominantly positive and product improvements have been made as a result of the feedback. References to these products within Area Forecast Discussions (AFD’s) indicate that the products are influencing operational forecasts. An overview of the FLS algorithm, with an emphasis on the efforts to blend GOES with VIIRS, will be given. In addition, the relevance of the FLS products to NWS operations will be discussed. https://web.archive.org/web/*/http://www.goes-r.gov/users/sci-sem/2014_12_01.html1Licence not specifiedover 2 years ago
- Data sheets from the NOAA Center for Operational Oceanographic Products and Services "Tides and Currents" webpage. These are one way of describing time series data measured by water level sensors across the United States, U.S. territories, etc. Includes information from U.S. coastal monitoring stations, Bermuda, the Caribbean/Central America, and Diego Garcia.1Licence not specifiedover 2 years ago
- The National Bycatch Report (NBR) and its Updates provide a national compilation of bycatch estimates for living marine resources of the United States at the fishery and species level. This dataset also includes reports related to the Bycatch Report ##Inventory of miscellaneous reports included * National Marine Fisheries Service Instruction 04-109-01 * Magnuson-Stevens Act Provisions; General Provisions for Domestic Fisheries; Observer Health and Safety * Management Control Review of National Marine Fisheries Service Observer Programs/Service Delivery Models * Commercial Fishing Vessel Safety and The National Marine Fisheries Service- United States Coast Guard Memorandum on Observer Safety * U.S. National Bycatch Report First Edition Update 2 * National Oceanic and Atmospheric Administration Final Audit Report No. IPE-15721/March 2004 * National Marine Fisheries Service Instruction 04-110-01 * National Review of Observer Program Policies and Procedures with Recommendations with Respect to the 2013 Administrative Inquiry Action Items ##Inventory of Tables (all tables are in PDF format) * Tables 3.5.1 - 3.7 cover the Greater Atlantic Region * Tables 4.5.1 - 4.8 cover the Southeast Region * Tables 5.5.1 - 5.8.3 cover the Alaska Region * Tables 6.3.1 - 6.8.3 cover the West Coast Region * Tables 7.5.1 - 7.8.3 cover the Pacific Islands Region https://web.archive.org/web/*/http://www.st.nmfs.noaa.gov/observer-home/first-edition-update-21Licence not specifiedover 2 years ago
- The NOAA Fisheries, Fisheries Statistics Division has automated data summary programs that anyone can use to rapidly and easily summarize U.S. commercial fisheries landings. https://web.archive.org/web/*/https://www.st.nmfs.noaa.gov/commercial-fisheries/commercial-landings/monthly-landings/index1Licence not specifiedover 2 years ago
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