OpenSearch

Using the NASA EOSDIS Common Metadata Repository

  1. Home
  2. Collection search

Collection Search

Displaying 1 to 10 of 13 (took 0 seconds)

  • TMI/TRMM precipitation and uncertainty (TMPA) L3 3 hour 0.25 degree x 0.25 degree V001 (WC_MULTISEN_PREC_025) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C1242287793-GES_DISC.xml
    Description:

    TMI/TRMM precipitation and uncertainty (TMPA) L3 3 hour 0.25 degree x 0.25 degree V001 provides estimates of accumulated precipitation from the Tropical Rainfall Measuring Mission (TRMM) and Other Data Precipitation Data Set (TRMM 3B42; Huffman et al., 2007), along with estimates of the uncertainty in the TRMM 3B42 made by Bytheway and Kummerow (2013). The data set covers both ocean and land from 50 degree North to 50 degree South.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -50 -180 50 180

    GES_DISC Short Name: WC_MULTISEN_PREC_025 Version ID: 001 Unique ID: C1242287793-GES_DISC

  • SatCORPS CERES GEO Edition 4 MTSAT-1R Northern Hemisphere Version 1.0

    https://cmr.earthdata.nasa.gov/search/concepts/C3880514605-LARC_CLOUD.xml
    Description:

    CER_GEO_Ed4_MTS01_NH_V01 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Multi-functional Transport Satellite 1 Replacement (MTSAT-1R) over the Northern Hemisphere (NH) Version 1.0 data product. Data was collected using the Visible and Infrared Spin Scan Radiometer (VISSR) Instrument on the Multi-functional Transport Satellite 1 Replacement (MTSAT-1R) platform. Data collection for this product is complete. This data set comprises cloud micro-physical and radiation properties derived hourly from MTSAT-1R geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. Each active geostationary satellite's cloud micro-physical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set is arranged as files for each hour and in netCDF-4 format. The observations are at 4 km resolution (at nadir) and are sub-sampled to 8 km. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (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 Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

    Links: Temporal Extent: Spatial Extent:
    Polygon: 0 -180 0 -170 60 -170 60 -180 0 -180

    LARC_CLOUD Short Name: CER_GEO_Ed4_MTS01_NH Version ID: V01 Unique ID: C3880514605-LARC_CLOUD

  • SatCORPS CERES GEO Edition 4 MTSAT-1R Southern Hemisphere Version 1.0

    https://cmr.earthdata.nasa.gov/search/concepts/C3880514685-LARC_CLOUD.xml
    Description:

    CER_GEO_Ed4_MTS01_SH_V01 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Multi-functional Transport Satellite 1 Replacement (MTSAT-1R) over the Southern Hemisphere (SH) Version 1.0 data product. Data was collected using the Visible and Infrared Spin Scan Radiometer (VISSR) Instrument on the Multi-functional Transport Satellite 1 Replacement (MTSAT-1R) platform. Data collection for this product is complete. This data set is comprised of cloud micro-physical and radiation properties derived hourly from MTSAT-1R geostationary satellite imager data using the Langley Research Center (LARC) SATCORPS algorithms in support of the Clouds and the Earth's Radiant Energy System (CERES) project. Each active geostationary satellite's cloud micro-physical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set 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. CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (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 Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

    Links: Temporal Extent: Spatial Extent:
    Polygon: -60 -180 -60 -170 0 -170 0 -180 -60 -180

    LARC_CLOUD Short Name: CER_GEO_Ed4_MTS01_SH Version ID: V01 Unique ID: C3880514685-LARC_CLOUD

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

    https://cmr.earthdata.nasa.gov/search/concepts/C3880704215-LARC_CLOUD.xml
    Description:

    The ISCCP_B3_NAT data is the International Satellite Cloud Climatology Project (ISCCP) Stage B3 Reduced Radiances in Native Format data product. This is the original radiance data, sampled to 30 Km and 3-hour spacing. Data collection for this product is complete and was collected using several instruments on multiple platforms, please see the instrument and platform list of this record for a comprehensive list. The normalization of all radiances to a standard calibration made these data a globally uniform set of measurements that can be used for detailed cloud process studies. ISCCP was the first project of the World Climate Research Program (WCRP) and 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; 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; and 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 inter-annual 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. ISCCP analysis combined 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 determined 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:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_CLOUD Short Name: ISCCP_B3_NAT Version ID: 1 Unique ID: C3880704215-LARC_CLOUD

  • International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm in Hierarchical Data Format

    https://cmr.earthdata.nasa.gov/search/concepts/C3880704231-LARC_CLOUD.xml
    Description:

    ISCCP_D1_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage D1 3-Hourly Cloud Products - Revised Algorithm data set in Hierarchical Data Format. This data set contains 3-hourly, 280 KM equal-area grid data from various polar and geostationary satellites. The Gridded Cloud Product contents are spatial averages of DX quantities and statistical summaries, including properties of cloud types. Satellites are merged into a global grid. Atmosphere and surface properties from TOVS are appended. Data collection for this data set is complete. 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; 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; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. Starting in 1983 an international group of institutions 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 onward) the analysis also concerns improving understanding of clouds in the global hydrological cycle. The ISCCP analysis combined 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 determined 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 was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was 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 was 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:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_CLOUD Short Name: ISCCP_D1 Version ID: 1 Unique ID: C3880704231-LARC_CLOUD

  • International Satellite Cloud Climatology Project (ISCCP) Stage D2 Monthly Cloud Products - Revised Algorithm in Hierarchical Data Format

    https://cmr.earthdata.nasa.gov/search/concepts/C3880704243-LARC_CLOUD.xml
    Description:

    The ISCCP_D2 data set contains monthly, 280 KM equal-area grid data from various polar and geostationary satellites. Climatological Summary Product contents contain monthly average of D1 quantities including mean diurnal cycle, distribution and properties of total cloudiness and cloud types. 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:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_CLOUD Short Name: ISCCP_D2 Version ID: 1 Unique ID: C3880704243-LARC_CLOUD

  • International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format

    https://cmr.earthdata.nasa.gov/search/concepts/C3880704255-LARC_CLOUD.xml
    Description:

    ISCCP_DX_1 is the International Satellite Cloud Climatology Project (ISCCP) Stage DX Pixel Level Cloud Product - Revised Algorithm in Binary Format data set. It contains 3-hourly, 30 KM satellite image projection data from various polar and geostationary satellites. Pixel Level Cloud Product contents include calibrated radiances, cloud detection results, and cloud and surface properties from radiative analysis. Data collection for this data set is complete. ISCCP was the first project of the World Climate Research Program (WCRP) and 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; 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; and promote research using ISCCP data that contributes to improved understanding of the Earth's radiation budget and hydrological cycle. Starting in 1983, an international group of institutions 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 inter-annual 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 onward) the analysis was also concerned with improving understanding of clouds in the global hydrological cycle. The ISCCP analysis combined satellite-measured radiances (Stage B3 data, Schiffer and Rossow 1985, Rossow et al. 1987) with the Tiros Operational Vertical Sounder (TOVS) atmospheric temperature-humidity and ice/snow correlative data sets to obtain information about clouds and the surface. The analysis method first determined the presence of or absence of clouds in each individual image pixel and retrieved the radiometric properties of the cloud for each cloudy pixel and of the surface for each clear pixel. The pixel analysis was performed separately for each satellite radiance data set and the results were reported in the Stage DX data product, which had a nominal resolution of 30 km and 3 hours. The Stage D1 product was 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 was 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:
    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_CLOUD Short Name: ISCCP_DX Version ID: 1 Unique ID: C3880704255-LARC_CLOUD

  • Arctic Satellite Composite Imagery - Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598097-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates an infrared (~11.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. More recently, Arctic composites are created every hour for a total of 24 images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-Infrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598097-SCIOPS

    This collection does not contain any granules

  • Arctic Satellite Composite Imagery - Longwave Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598122-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates a longwave infrared (~12.0 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-LongwaveInfrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598122-SCIOPS

    This collection does not contain any granules

  • Arctic Satellite Composite Imagery - Shortwave Infrared

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598142-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates a shortwave infrared (~3.8 microns) Arctic satellite composite imagery. Using a mosaic of all satellite data available allows the benefits of both the timeliness and routine observations of geostationary satellites as well as the high latitude coverage of the polar orbiting satellites. The Arctic composites are made every three hours (synoptic hour) creating a total of eight images per day. Most input satellite observations included in the composite were procured within 15 minutes of the top of the synoptic hour. No image is more than +/- 50 minutes from the top of the synoptic hour. Geostationary and Polar orbiting satellites used to generate the composite can include: POES/NOAA, GOES -East and ?West, METOSAT, MTSAT, FY-2, Kalpana-1, and Terra/Aqua.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 28 -180 90 180

    SCIOPS Short Name: SSEC-ARCTIC-Composite-ShortwaveInfrared-ARC-0713843 Version ID: Not provided Unique ID: C1214598142-SCIOPS

    This collection does not contain any granules