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  • Black Sea High Resolution SST L4 Analysis 0.0625 deg Resolution for 2019-09-18 (NCEI Accession 0213517)

    https://cmr.earthdata.nasa.gov/search/concepts/C2089376602-NOAA_NCEI.xml
    Description:

    CNR MED Sea Surface Temperature provides daily gap-free maps (L4) at 0.0625 deg. x 0.0625 deg. horizontal resolution over the Black Sea. The data are obtained from infra-red measurements collected by satellite radiometers and statistical interpolation. It is the CMEMS sea surface temperature nominal operational product for the Black sea.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 38.75 26.375 48.8125 42.375

    NOAA_NCEI Short Name: gov.noaa.nodc:0213517 Version ID: Not Applicable Unique ID: C2089376602-NOAA_NCEI

    This collection does not contain any granules

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

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

    CER_ISCCP-D2like-GEO_DAY_Edition3A is the Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Cloud Retrievals in International Satellite Cloud Climatology Project (ISCCP)-D2like Format Daytime Edition3A data product. Data collection for this product is complete. 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 . 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. 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, 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.

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    Polygon: -90 -180 -90 180 90 180 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:

    CER_ISCCP-D2like-Mrg_GEO-MODIS-DAY_Edition3A is the Clouds and the Earth's Radiant Energy System (CERES) Moderate Resolution Imaging Spectroradiometer (MODIS) and Geostationary Satellite (GEO) Cloud Retrievals in International Satellite Cloud Climatology Project (ISCCP) – Day 2like Format Daytime Edition3A data product. This product is a merge of data from the following platforms and instruments: Spinning Enhanced Visible and Infrared Imager (SEVIRI) on Meteosat Operational Programme 10 (METEOSAT-10); Japanese Advanced Meteorological Imager (JAMI) on The Multi-functional Transport Satellite 2 (MTSAT-2); SEVIRI on METEOSAT-9; Visible and Infrared Spin Scan Radiometer (GMS Series) on (VISSR-GMS) on Geostationary Meteorological Satellite-5 (GMS-5); SEVIRI on METEOSAT-8; Geostationary Operational Environmental Satellite (GOES) I-M IMAGER on Geostationary Operational Environmental Satellite 9 (GOES-9); GOES-11 IMAGER on GOES-11; GOES N-P IMAGER on GOES-13; GOES-8 IMAGER on GOES-8; GOES I-M IMAGER on GOES-10; SEVIRI on METEOSAT-7; MODIS on Terra; GOES N-P IMAGER on GOES-14; MVIRI on METEOSAT-5; GOES-12 IMAGER on GOES-12; GOES-15 IMAGER on GOES-15; MODIS on Aqua; JAMI on Multi-functional Transport Satellite 1 Replacement (MTSAT-1R). Data collection for this product is complete. The Monthly Gridded Cloud Averages (ISCCP-D2like-Mrg) data products contain 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 merged (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 8 km nominal resolution with limited coverage. 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. 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.

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    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

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

  • Climatology for NOAA Coral Reef Watch (CRW) Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1 for 1985-01-01 to 2012-12-31 (NCEI Accession 0185742)

    https://cmr.earthdata.nasa.gov/search/concepts/C2089379091-NOAA_NCEI.xml
    Description:

    This package contains a set of 12 monthly mean (MM) climatologies, one for each calendar month, and the maximum monthly mean (MMM) climatology. Each climatology has global coverage at 0.05-degree (5km) spatial resolution. The climatologies were derived from NOAA Coral Reef Watch's (CRW) CoralTemp Version 1.0 product and are based on the 1985-2012 time period of the CoralTemp data. They are used in deriving CRW's Daily Global 5km Satellite Coral Bleaching Heat Stress Monitoring Product Suite Version 3.1. MMs are used to derive the SST Anomaly product, and the MMM is used to derive CRW's Coral Bleaching HotSpot, Degree Heating Week, and Bleaching Alert Area products.

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    Minimum Bounding Rectangle: -90 -180 90 180

    NOAA_NCEI Short Name: gov.noaa.nodc:0185742 Version ID: Not Applicable Unique ID: C2089379091-NOAA_NCEI

    This collection does not contain any granules

  • INFRARED GLOBAL GEOSTATIONARY COMPOSITE V1

    https://cmr.earthdata.nasa.gov/search/concepts/C1996543397-GHRC_DAAC.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, the Geostationary Operational Environmental Satellite (GOES) from the United States, NOAA satellites, and the Meteorological Satellite (METEOSAT) from Europe spanning nearly the entire globe. The spatial resolution is 14 km before December 18, 2017, and 4 km after that 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 January 24, 2024, and netCDF-4 format from January 25, 2024, to present.

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

    GHRC_DAAC Short Name: globalir Version ID: 1 Unique ID: C1996543397-GHRC_DAAC

  • 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 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.

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    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

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

  • 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/C2146773048-LARC_ASDC.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.

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    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_ASDC Short Name: ISCCP_D1 Version ID: 1 Unique ID: C2146773048-LARC_ASDC

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

    https://cmr.earthdata.nasa.gov/search/concepts/C2146747804-LARC_ASDC.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.

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    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_ASDC Short Name: ISCCP_D2 Version ID: 1 Unique ID: C2146747804-LARC_ASDC

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

    https://cmr.earthdata.nasa.gov/search/concepts/C2147305318-LARC_ASDC.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.

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    Polygon: -90 -180 -90 180 90 180 90 -180 -90 -180

    LARC_ASDC Short Name: ISCCP_DX Version ID: 1 Unique ID: C2147305318-LARC_ASDC

  • NOAA Coral Reef Watch (CRW) Daily Global 5-km (0.05 degree) Satellite Coral Bleaching Heat Stress Monitoring Product Suite

    https://cmr.earthdata.nasa.gov/search/concepts/C2089386080-NOAA_NCEI.xml
    Description:

    The NOAA Coral Reef Watch (CRW) daily global 5-km (0.05 degree) satellite coral bleaching heat stress monitoring product suite (currently Version 3.1, released August 1, 2018) is a next-generation version of CRW's twice-weekly global 50-km (0.5 degree) satellite monitoring product suite. The 5-km suite currently includes sea surface temperature (SST, also known as "CoralTemp"), SST Anomaly, Coral Bleaching HotSpot (HS), Degree Heating Week (DHW), and Bleaching Alert Area (BAA) products, along with a 7-day maximum BAA and a 7-day SST Trend product. It also includes Year-to-date, Monthly, as well as Annual composite (maximum, minimum, and mean) products based on the daily products. This 5-km product suite provides service at or near reef-scales, allowing direct monitoring of the majority of coral reefs globally and significantly reducing data gaps (caused by cloud cover) that were present in the heritage 50-km products. The 5-km products now comprise the core of CRW's next-generation Decision Support System (DSS) for coral reef management. File formats provided are: netCDF and PNG.

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    Minimum Bounding Rectangle: -90 -180 90 180

    NOAA_NCEI Short Name: 10.25921/6jgr-pt28 Version ID: Not Applicable Unique ID: C2089386080-NOAA_NCEI

    This collection does not contain any granules