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  • Combined Geostationary Lightning Mapper (GLM) Hourly Thunder Hour Data Product

    https://cmr.earthdata.nasa.gov/search/concepts/C3894650367-GHRC_DAAC.xml
    Description:

    The Geostationary Lightning Mapper (GLM) is the first optical lightning detector in geostationary orbit, and GLM sensors operate aboard the National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellites (GOES R-series: GOES-16, -17, -18, and -19). The first to launch was GOES-16 on November 19, 2016, and it was placed in the GOES-East position. On March 1, 2018, GOES-17 launched and eventually became operational in the GOES-West position. Since that time, the United States has maintained one satellite in each position. Currently, GOES-18 (west) and GOES-19 (east) are the operational satellites. With these instruments, the combined hourly thunder hour dataset has been created. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. The GLM thunder hour dataset will provide a long-term means of tracking trends in lightning occurrence over the Americas and surrounding oceans. The GLM Combined Hourly Thunder Hour dataset is calculated from lightning detections from 1 January 2019 onward, during which time GLMs operated from GOES-West and GOES-East positions, providing continuous lightning detection for a broad region from the Aleutian Islands and New Zealand eastward to the western tip of Africa. The data are provided at 0.05° latitude/longitude resolution in netCDF-4 format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    GHRC_DAAC Short Name: glmhth Version ID: 1 Unique ID: C3894650367-GHRC_DAAC

  • Geostationary Lightning Mapper (GLM) Combined Monthly Thunder Hour Data Product

    https://cmr.earthdata.nasa.gov/search/concepts/C3534731641-GHRC_DAAC.xml
    Description:

    The Geostationary Lightning Mapper (GLM) is the first optical lightning detector in geostationary orbit, and GLM sensors operate aboard the National Oceanic and Atmospheric Administration (NOAA) Geostationary Operational Environmental Satellites (GOES R-series: GOES-16, -17, -18, and -19). The first to launch was GOES-16 on November 19, 2016 and it was placed in the GOES-East position. On March 1, 2018 GOES-17 launched and would eventually become operational in the GOES-West position. Since that time, the United States has maintained one satellite in each position. Currently, GOES-18 (west) and GOES-19 (east) are the operational satellites. With these instruments, the combined monthly thunder hour dataset has been created. A thunder hour is an hour during which thunder can be heard at a given location. Thunder hours represent a historical measure of lightning occurrence and a metric of thunderstorm frequency that is comparatively less sensitive to geographic variations in the detection capabilities of a lightning location system. The GLM thunder hour dataset will provide a long-term means of tracking trends in lightning occurrence over the Americas and surrounding oceans. The GLM Combined Monthly Thunder Hour dataset is calculated from lightning detections from 1 January 2019 onward, during which time GLMs are operating from GOES-West and GOES-East positions, providing continuous lightning detection for a broad region from the Aleutian Islands and New Zealand eastward to the western tip of Africa. The data are provided at 0.05° latitude/longitude resolution in netCDF-4 format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -90 -180 90 180

    GHRC_DAAC Short Name: glmmth Version ID: 1 Unique ID: C3534731641-GHRC_DAAC

  • GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products

    https://cmr.earthdata.nasa.gov/search/concepts/C2278812167-GHRC_DAAC.xml
    Description:

    The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) on board each of the Geostationary Operational Environmental Satellites R-Series (GOES-R). These satellites are a part of the GOES-R series program: a four-satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. These are GOES-16, -17, -18, and -19. Currently, GOES-18 and GOES-19 are the active satellites. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -57 162.9 57 -76.2

    GHRC_DAAC Short Name: glmgoesL3 Version ID: 1 Unique ID: C2278812167-GHRC_DAAC

  • SatCORPS CERES GEO Edition 4 GOES-19 Northern Hemisphere Version 1.4

    https://cmr.earthdata.nasa.gov/search/concepts/C3631083176-LARC_ASDC.xml
    Description:

    CER_GEO_Ed4_GOE19_NH_V01.4 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 19 (GOES-19) over the Northern Hemisphere (NH) Version 1.4 data product. Data was collected using the Advanced Baseline Imager (ABI) on the GOES-19 Platform. Note: Version 1.4 uses the Global Modeling and Assimilation Office (GMAO) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis for atmospheric input; Version 1.2 used GMAO's GEOS-5.4.1. No changes have been made to the cloud retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-19 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).

    Links: Temporal Extent: Spatial Extent:
    Polygon: 0 -120 0 -30 60 -30 60 -120 0 -120

    LARC_ASDC Short Name: CER_GEO_Ed4_GOE19_NH Version ID: V01.4 Unique ID: C3631083176-LARC_ASDC

  • SatCORPS CERES GEO Edition 4 GOES-19 Southern Hemisphere Version 1.4

    https://cmr.earthdata.nasa.gov/search/concepts/C3631084192-LARC_ASDC.xml
    Description:

    CER_GEO_Ed4_GOE19_SH_V01.4 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Geostationary Operational Environmental Satellite 19 (GOES-19) over the Southern Hemisphere (SH) Version 1.4 data product. Data was collected using the Advanced Baseline Imager (ABI) on the GOES-19 Platform. Note: Version 1.4 uses the Global Modeling and Assimilation Office (GMAO) Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) reanalysis for atmospheric input; Version 1.2 used GMAO's GEOS-5.4.1. No changes have been made to the cloud retrieval algorithm. This data set comprises cloud micro-physical and radiation properties derived hourly from GOES-19 geostationary satellite imager data using the Langley Research Center (LARC) SATCORPS algorithms supporting the CERES project. The data set is arranged as files for each hour in netCDF-4 format. The observations are at 2 km resolution (at nadir) and are sub-sampled to 6 km (taking every third line and pixel).

    Links: Temporal Extent: Spatial Extent:
    Polygon: -60 -120 -60 -30 0 -30 0 -120 -60 -120

    LARC_ASDC Short Name: CER_GEO_Ed4_GOE19_SH Version ID: V01.4 Unique ID: C3631084192-LARC_ASDC