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Using the NASA EOSDIS Common Metadata Repository

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  • 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

  • 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

  • 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

  • Arctic Satellite Composite Imagery - Visible

    https://cmr.earthdata.nasa.gov/search/concepts/C1214598096-SCIOPS.xml
    Description:

    The Space Science and Engineering Center at the University of Wisconsin-Madison generates an visible (~0.65 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 visible 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-Visible-ARC-0713843 Version ID: Not provided Unique ID: C1214598096-SCIOPS

  • CER_GEO_Ed4_GOE13_NH_V01

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207605-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from GOES-13 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 4-km resolution (at nadir) and are sub-sampled to 8 km.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -120 60 -30

    LARC_ASDC Short Name: CER_GEO_Ed4_GOE13_NH Version ID: V01 Unique ID: C1237207605-LARC_ASDC

  • CER_GEO_Ed4_GOE13_SH_V01

    https://cmr.earthdata.nasa.gov/search/concepts/C1237207597-LARC_ASDC.xml
    Description:

    This dataset is comprised of cloud micro-physical and radiation properties derived hourly from GOES-13 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 4-km resolution (at nadir) and are sub-sampled to 8 km.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -60 -120 0 -30

    LARC_ASDC Short Name: CER_GEO_Ed4_GOE13_SH Version ID: V01 Unique ID: C1237207597-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 2P Western Atlantic Regional Skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES) Imager on the GOES-13 satellite (GDS versions 1 and 2)

    https://cmr.earthdata.nasa.gov/search/concepts/C1224520097-NOAA_NCEI.xml
    Description:

    The Geostationary Operational Environmental Satellites (GOES) operated by the United States National Oceanic and Atmospheric Administration (NOAA) support weather forecasting, severe storm tracking, meteorology and oceanography research. Generally there are several GOES satellites in geosynchronous orbit at any one time viewing different earth locations including the GOES-13 launched 24 May 2006. The radiometer aboard the satellite, The GOES N-P Imager, is a five channel (one visible, four infrared) imaging radiometer designed to sense radiant and solar reflected energy from sampled areas of the earth. The multi-element spectral channels simultaneously sweep east-west and west-east along a north-to-south path by means of a two-axis mirror scan system retuning telemetry in 10-bit precision. For this Group for High Resolution Sea Surface Temperature (GHRSST) dataset, skin sea surface temperature (SST) measurements are calculated from the far IR channels of GOES-13 at full resolution on a half hourly basis. In native satellite projection, vertically adjacent pixels are averaged and read out at every pixel. L2P datasets including Single Sensor Error Statistics (SSES) are then derived following the GHRSST Data Processing Specification (GDS) version 2.0. The full disk image is subsetted into granules representing distinct northern and southern regions.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 50 -135 65 -30

    NOAA_NCEI Short Name: gov.noaa.nodc:GHRSST-GOES13-OSPO-L2P Version ID: 1.0 Unique ID: C1224520097-NOAA_NCEI

  • GHRSST Level 3C sub-skin Sea Surface Temperature from the Geostationary Operational Environmental Satellites (GOES 13) Imager in East position (GDS V2) produced by OSI SAF

    https://cmr.earthdata.nasa.gov/search/concepts/C1657633711-PODAAC.xml
    Description:

    A regional Group for High Resolution Sea Surface Temperature (GHRSST) Level 3 Collated (L3C) dataset for the America Region (AMERICAS) based on retrievals from the GOES-13 Imager on board GOES-13 satellite. The European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), Ocean and Sea Ice Satellite Application Facility (OSI SAF) is producing SST products in near real time from GOES 13 in East position. GOES 13 imager level 1 data are acquired at Meteo- France/Centre de Meteorologie Spatiale (CMS) through the EUMETSAT/EUMETCAST system. SST is retrieved from the GOES 13 infrared channels (3.9 and 10.8 micrometer) using a multispectral algorithm. Due to the lack of 12 micrometer channel in the GOES 13 imager, SST retrieval is not possible in daytime conditions. Atmospheric profiles of water vapor and temperature from a numerical weather prediction model, together with a radiatiave transfer model, are used to correct the multispectral algorithm for regional and seasonal biases due to changing atmospheric conditions. Every 30 minutes slot is processed at full satellite resolution. The operational products are then produced by remapping over a 0.05 degree regular grid (60S-60N and 135W-15W) SST fields obtained by aggregating 30 minute SST data available in one hour time, and the priority being given to the value the closest in time to the product nominal hour. The product format is compliant with the GHRSST Data Specification (GDS) version 2.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -60 -180 60 -15

    PODAAC Short Name: GOES13-OSISAF-L3C-v1.0 Version ID: 1 Unique ID: C1657633711-PODAAC