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Using the NASA EOSDIS Common Metadata Repository

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  • CER_GEO_Ed4_MET10_NH_V01

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207612-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-10 geostationary satellite imager data using LaRC’s SATCORPS (SATellite ClOud and Radiation Property retrieval System) algorithms in support of the CERES project. The cloud micro-physical and radiation properties from each active geostationary satellite are merged together to create hourly global cloud properties that are used to estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The dataset is arranged as files for each hour and in netCDF-4 format. The observations are at 3-km resolution (at nadir) and are sub-sampled to 9 km.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -50 60 60

    LARC_ASDC Short Name: CER_GEO_Ed4_MET10_NH Version ID: V01 Unique ID: C1237207612-LARC_ASDC

  • CER_GEO_Ed4_MET10_SH_V01

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207620-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-10 geostationary satellite imager data using LaRC’s SATCORPS (SATellite ClOud and Radiation Property retrieval System) algorithms in support of the CERES project. The cloud micro-physical and radiation properties from each active geostationary satellite are merged together to create hourly global cloud properties that are used to estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The dataset is arranged as files for each hour and in netCDF-4 format. The observations are at 3-km resolution (at nadir) and are sub-sampled to 9 km.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -60 -50 0 60

    LARC_ASDC Short Name: CER_GEO_Ed4_MET10_SH Version ID: V01 Unique ID: C1237207620-LARC_ASDC

  • CERES GEO Cloud Retrievals in ISCCP-D2like Format Daytime Edition3A

    https://cmr.earthdata.nasa.gov/search/concepts/C7019528-LARC_ASDC.xml
    Description:

    The Monthly Gridded Cloud Averages (ISCCP-D2like-GEO) data product contains monthly and monthly 3-hourly (GMT-based) gridded regional mean geostationary satellite (GEO) cloud properties as a function of 18 cloud types, similar to the ISCCP D2 product, where the cloud properties are stratified by pressure, optical depth, and phase. The ISCCP-D2like-GEO product is a 5-satellite, daytime 3-hourly GMT, 8-km nominal resolution, geostationary-only cloud product limited to to . The ISCCP-D2like-GEO is a daytime-only product, where the cloud retrievals incorporate only the visible and IR channels common to all geostationary satellites for spatial consistency. Each ISCCP-D2like file covers a single month.606011 Clouds and the Earth's Radiant Energy System (CERES) is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011.

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

    LARC_ASDC Short Name: CER_ISCCP-D2like-GEO_DAY Version ID: Edition3A Unique ID: C7019528-LARC_ASDC

  • CERES MODIS and GEO Cloud Retrievals in ISCCP-D2like Format Daytime Edition3A

    https://cmr.earthdata.nasa.gov/search/concepts/C7019527-LARC_ASDC.xml
    Description:

    The Monthly Gridded Cloud Averages (ISCCP-D2like-Mrg) data product contains monthly and monthly 3-hourly (GMT-based) gridded regional mean cloud properties as a function of 18 cloud types, similar to the ISCCP D2 product, where the cloud properties are stratified by pressure, optical depth, and phase. The Mrg product combines daytime cloud properties from Terra-MODIS (10:30 AM local equator crossing time LECT), Aqua-MODIS (1:30 PM LECT), and geostationary satellites (GEO) to provide the most diurnally complete daytime ISCCP-D2like product. The GEO cloud properties have been normalized with MODIS for diurnal consistency. The CERES MODIS-derived cloud properties are not the official NASA MODIS cloud retrievals, but are based on the CERES cloud working group retrievals that are also available in other CERES products. The CERES MODIS-derived cloud properties provide coverage from pole to pole. The 3-hourly GMT-based GEO cloud properties come from five satellites at 8km nominal resolution with coverage limited to to . The GEO daytime cloud retrievals incorporate only a visible and IR channel common to all geostationary satellites for spatial consistency. The geostationary calibration is normalized to Terra-MODIS. Each ISCCP-D2like file covers a single month. Clouds and the Earth's Radiant Energy System (CERES) is a key component of the Earth Observing System (EOS) program. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions are a follow-on to the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument (PFM) was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the EOS flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board EOS Aqua on May 4, 2002. The newest CERES instrument (FM5) was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011.

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

    LARC_ASDC Short Name: CER_ISCCP-D2like-Mrg_GEO-MODIS-DAY Version ID: Edition3A Unique ID: C7019527-LARC_ASDC

  • GHRSST Level 4 OSPO Global Foundation Sea Surface Temperature Analysis (GDS version 2)

    https://cmr.earthdata.nasa.gov/search/concepts/C1657544973-PODAAC.xml
    Description:

    A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis uses both daytime and nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

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

    PODAAC Short Name: Geo_Polar_Blended-OSPO-L4-GLOB-v1.0 Version ID: 1.0 Unique ID: C1657544973-PODAAC

  • GHRSST Level 4 OSPO Global Nighttime Foundation Sea Surface Temperature Analysis (GDS version 2)

    https://cmr.earthdata.nasa.gov/search/concepts/C1657544629-PODAAC.xml
    Description:

    A Group for High Resolution Sea Surface Temperature (GHRSST) Level 4 sea surface temperature analysis produced daily on an operational basis at the Office of Satellite and Product Operations (OSPO) using optimal interpolation (OI) on a global 0.054 degree grid. The Geo-Polar Blended Sea Surface Temperature (SST) Analysis combines multi-satellite retrievals of sea surface temperature into a single analysis of SST. This analysis includes only nighttime data from sensors that include the Advanced Very High Resolution Radiometer (AVHRR), the Visible Infrared Imager Radiometer Suite (VIIRS), the Geostationary Operational Environmental Satellite (GOES) imager, the Japanese Advanced Meteorological Imager (JAMI) and in situ data from ships, drifting and moored buoys. This analysis was specifically produced to be used as a lower boundary condition in Numerical Weather Prediction (NWP) models. This dataset adheres to the GHRSST Data Processing Specification (GDS) version 2 format specifications.

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

    PODAAC Short Name: Geo_Polar_Blended_Night-OSPO-L4-GLOB-v1.0 Version ID: 1.0 Unique ID: C1657544629-PODAAC

  • Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1625128399-GHRC_CLOUD.xml
    Description:

    The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Brightness Temperature dataset contains infrared images of brightness temperature from the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) during the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 12 -180 52 -60

    GHRC_CLOUD Short Name: hs3cimssbt Version ID: 1 Unique ID: C1625128399-GHRC_CLOUD

  • Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1625128250-GHRC_CLOUD.xml
    Description:

    The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Cloud Top Height dataset contains could top height images obtained from infrared observations of the 15th Geostationary Operational Environmental Satellite (GOES-15) and the 10th Meteorological Satellite (METEOSAT-10) using the Algorithm Working Group (AWG) Cloud Height Algorithm (ACHA) for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The images are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in PNG format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 12 -180 52 -60

    GHRC_CLOUD Short Name: hs3cimsscth Version ID: 1 Unique ID: C1625128250-GHRC_CLOUD

  • Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1625128299-GHRC_CLOUD.xml
    Description:

    The Hurricane and Severe Storm Sentinel (HS3) Cooperative Institute for Meteorological Satellite Studies (CIMSS) Tropical Overshooting Tops dataset contains browse only data showing tropical overshooting tops derived from METEOSAT and GOES satellites for the Hurricane and Severe Storm sentinel (HS3) field campaign. Goals for the HS3 field campaign included assessing the relative roles of large-scale environment and storm-scale internal processes, addressing the controversial role of the Saharan Air Layer (SAL) in tropical storm formation and intensification, and the role of deep convection in the inner-core region of storms. The browse only data files are available for dates between August 14, 2014 and October 3, 2014 at 15 minutes intervals in KML format.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 12 -180 52 -60

    GHRC_CLOUD Short Name: hs3cimsstot Version ID: 1 Unique ID: C1625128299-GHRC_CLOUD

  • SATCORPS CERES GEO Edition 4 Meteosat-10 Northern Hemisphere Version 1.2

    https://cmr.earthdata.nasa.gov/search/concepts/C1588128371-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-10 geostationary satellite imager data using LaRC’s SATCORPS (SATellite ClOud and Radiation Property retrieval System) algorithms in support of the CERES project. The cloud micro-physical and radiation properties from each active geostationary satellite are merged together to create hourly global cloud properties that are used to estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The dataset is arranged as files for each hour and in netCDF-4 format. The observations are at 3-km resolution (at nadir) and are sub-sampled to 9 km. Note : Version 1.2 is identical to version 1.0 . No changes in retrieval algorithm.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -50 60 60

    LARC_ASDC Short Name: CER_GEO_Ed4_MET10_NH Version ID: V01.2 Unique ID: C1588128371-LARC_ASDC