OpenSearch

Using the NASA EOSDIS Common Metadata Repository

Collection Search

  • 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/C1597990346-NOAA_NCEI.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

    NOAA_NCEI Short Name: gov.noaa.nodc.GHRSST-Geo_Polar_Blended-OSPO-L4-GLOB Version ID: netCDF-4 Unique ID: C1597990346-NOAA_NCEI

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

    https://cmr.earthdata.nasa.gov/search/concepts/C1597990351-NOAA_NCEI.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

    NOAA_NCEI Short Name: gov.noaa.nodc.GHRSST-Geo_Polar_Blended_Night-OSPO-L4-GLOB Version ID: 2 Unique ID: C1597990351-NOAA_NCEI

  • INFRARED GLOBAL GEOSTATIONARY COMPOSITE V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1625128541-GHRC_CLOUD.xml
    Description:

    The Infrared Global Geostationary Composite dataset contains global composite images from the infrared channels of multiple weather satellites in geosynchronous orbit. These satellites include the Global Mobility Service (GMS) from Japan, Geostationary Operational Environmental Satellite (GOES) from the United States, NOAA satellites, and Meteorological Satellite (METEOSAT) from Europe spanning nearly the entire globe. The spatial resolution is 14 km before December 18, 2017 and 4 km thereafter with the data remapped into a Mercator projection. The data have not necessarily been cross calibrated between sensors. The data are available in AREA McIDAS format from June 4, 1995 to present.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -61 -180 66 180

    GHRC_CLOUD Short Name: globalir Version ID: 1 Unique ID: C1625128541-GHRC_CLOUD

  • International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format

    https://cmr.earthdata.nasa.gov/search/concepts/C7994310-LARC_ASDC.xml
    Description:

    The ISCCP_B3_NAT data are the original radiance data, sampled to 30 Km and 3 hour spacing. The normalization of all radiances to a standard calibration makes these data a globally uniform set of measurements that can be used for detailed cloud process studies. The International Satellite Cloud Climatology Project (ISCCP), the first project of the World Climate Research Program (WCRP), was established in 1982 (WMO-35 1982, Schiffer and Rossow 1983): - To produce a global, reduced resolution, calibrated and normalized radiance data set containing basic information on the properties of the atmosphere from which cloud parameters can be derived. - To stimulate and coordinate basic research on techniques for inferring the physical properties of clouds from the condensed radiance data set and to apply the resulting algorithms to derive and validate a global cloud climatology for improving the parameterization of clouds in climate models. - To promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. Since 1983 an international group of institutions has collected and analyzed satellite radiance measurements from up to five geostationary and two polar orbiting satellites to infer the global distribution of cloud properties and their diurnal, seasonal and interannual variations. The primary focus of the first phase of the project (1983-1995) was the elucidation of the role of clouds in the radiation budget (top of the atmosphere and surface). In the second phase of the project (1995 onwards) the analysis also concerns improving understanding of clouds in the global hydrological cycle. The ISCCP analysis combines satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985), Rossow et al. 1987) with the TOVS atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determines the presence of absence of clouds in each individual image pixel and retrieves the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis is performed separately for each satellite radiance data set and the results reported in the Stage DX data product, which has a nominal resolution of 30 km and 3 hours. The Stage D1 product is produced by summarizing the pixel-level results every 3 hours on an equal-area map with 280 km resolution and merging the results from separate satellites with the atmospheric and ice/snow data sets to produce global coverage at each time. The Stage D2 data product is produced by averaging the Stage D1 data over each month, first at each of the eight three hour time intervals and then over all time intervals.

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

    LARC_ASDC Short Name: ISCCP_B3_NAT Version ID: 1 Unique ID: C7994310-LARC_ASDC

  • ISCCP_DX

    https://cmr.earthdata.nasa.gov/search/concepts/C1000000040-LARC_ASDC.xml
    Description:

    International Satellite Cloud Climatology Project (ISCCP) DX Pixel Level Cloud Product Native Format. Data files are zipped together by satellite day.

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

    LARC_ASDC Short Name: ISCCP_DX Version ID: 1 Unique ID: C1000000040-LARC_ASDC

  • SATCORPS CERES GEO Edition 4 Meteosat-08 Northern Hemisphere Version 1.2

    https://cmr.earthdata.nasa.gov/search/concepts/C1584977039-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-8 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 6 km.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -10 60 100

    LARC_ASDC Short Name: CER_GEO_Ed4_MET08_NH Version ID: V01.2 Unique ID: C1584977039-LARC_ASDC

  • SATCORPS CERES GEO Edition 4 Meteosat-8 Northern Hemisphere Version 1.0

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207608-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-8 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_MET08_NH Version ID: V01 Unique ID: C1237207608-LARC_ASDC

  • SATCORPS CERES GEO Edition 4 Meteosat-8 Southern Hemisphere Version 1.0

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207609-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from Meteosat-8 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_MET08_SH Version ID: V01 Unique ID: C1237207609-LARC_ASDC