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  • GCIP Integrated Systems Test (GIST) at UCAR/JOSS/NOAA/CODIAC

    https://cmr.earthdata.nasa.gov/search/concepts/C1214608917-SCIOPS.xml
    Description:

    The Global Energy and Water Cycle Experiment (GEWEX) Continental-scale International Project (GCIP) Integrated Systems Test (GIST) takes place in the Arkansas-Red River basins as a data system test prior to the start of the 5 year GCIP Enhanced Observing Period (1995-2000). The Arkansas and Red River basins provide a number of watershed areas that are potentionally useful for hydrologic focussed studies. The GIST Data Set constitutes the third in a series of GCIP Initial Data Sets (GIDS-3).

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 31 -107 40 -91

    SCIOPS Short Name: GIST_UCAR_JOSS_NOAA_CODIAC Version ID: Not provided Unique ID: C1214608917-SCIOPS

    This collection does not contain any granules

  • NOAA-NASA GOES Pathfinder Products available from the University of Wisconsin's Space Science Engineering Center

    https://cmr.earthdata.nasa.gov/search/concepts/C1214610663-SCIOPS.xml
    Description:

    The GOES Pathfinder products were developed through a NOAA-NASA grant at the University of Wisconsin's Space Science Engineering Center. Pathfinder processed data streams from the VISSR/VAS sensors aboard the GOES-7 satellite. Pathfinder products are 8-km images and 70-km statistics. Ongoing research recommended by the GOES Pathfinder Scientific Working Group is working to develop an improved method for calibrating the GOES VISSR (Visible Infrared Spin Scan Radiometer) solar channels. Proper VISSR calibration is essential for this data to be used in quantitative climate change analyses, such as cloud physics and radiation budgets. The GOES archive contains over 169 TB of reconstructed, unprocessed data dating back to 1978 These data are managed through a NOAA contract with the University of Wisconsin-Madison. Products The 8-km and 70-km GOES Pathfinder products are no longer available on-line. 8-km Resolution Sounding and Multispectral Images Water vapor and infrared image data are sampled, and true averaging applied to the visible measurements to produce an 8-km product (created from full-resolution GOES imagery at 1-hour temporal resolution). 70-km Resolution Equal-Area Statistics An equal-area statistical product set at approximately 70-km resolution also is generated. The 70-km statistical package allows a first-level analysis of the 8-km imagery. MERLIN: Freeware for Pathfinder data MERLIN is a free software package for use with the NOAA-NASA Pathfinder dataset. For more information, see the MERLIN Web page. "http://www.ssec.wisc.edu/software/merlin.html" The GOES Pathfinder datasets are all available from SSEC: "http://www.ssec.wisc.edu/research/pathfinder/PFHomepage.html" GOES Pathfinder Operations can be reached at goesprods@ssec.wisc.edu [Summary extracted from the University of Wisconsin's Space Science Engineering Center home page]

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

    SCIOPS Short Name: GOES_PATHFINDER Version ID: Not provided Unique ID: C1214610663-SCIOPS

    This collection does not contain any granules

  • 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

  • Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent, Version 4

    https://cmr.earthdata.nasa.gov/search/concepts/C1386246980-NSIDCV0.xml
    Description:

    The main parameters for this data set are snow cover and sea ice extent, provided on the Northern Hemisphere EASE-Grid 2.0 projection at a grid cell size of 25 x 25 km. Snow cover extent is based on the NOAA/NCDC Climate Data Record (CDR) of Northern Hemisphere (NH) Snow Cover Extent (SCE) by D. Robinson (2012) and regridded to the EASE-Grid. The NOAA/NCDC CDR of Northern Hemisphere Snow Cover Extent data were derived from the manual interpretation of AVHRR, GOES, and other visible-band satellite data (Helfrich et al. 2007). Sea ice extent is derived from Sea Ice Concentrations from Nimbus-7 SMMR and DMSP SSM/I-SSMIS Passive Microwave Data (NSIDC-0051) and regridded to the EASE-Grid. This product is designed to provide a consistent weekly time series of snow cover from October 1966 through January 2023 and sea ice from October 1978 through January 2023.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 0 -180 90 180

    NSIDCV0 Short Name: NSIDC-0046 Version ID: 4 Unique ID: C1386246980-NSIDCV0

    This collection does not contain any granules

  • USWRP/STORM Fronts Experiment Systems Test (STORM-FEST) Data at UCAR/JOSS/NOAA/CODIAC

    https://cmr.earthdata.nasa.gov/search/concepts/C1214609027-SCIOPS.xml
    Description:

    Mesoscale field experiment conducted in the central U.S. during February and March 1992. The overall goal is to evaluate, in a very focused field experiment, the various research components critical for the success of the STORM Program.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: 32 -106 45 -86

    SCIOPS Short Name: STORMFEST_UCAR_JOSS_NOAA_CODIAC Version ID: Not provided Unique ID: C1214609027-SCIOPS

    This collection does not contain any granules

  • STRAT Supplementary Satellite Data Products

    https://cmr.earthdata.nasa.gov/search/concepts/C3880797472-LARC_CLOUD.xml
    Description:

    STRAT_Satellite_Data is the supplementary satellite data collected during the Stratospheric Tracers of Atmospheric Transport (STRAT) campaign. Satellite images from the GOES-7 and GOES-9 satellites are featured in this collection. Data collection for this product is complete. The STRAT campaign was a field campaign conducted by NASA from May 1995 to February 1996. The primary goal of STRAT was to collect measurements of the change of long-lived tracers and functions of altitude, latitude, and season. These measurements were taken to aid with determining rates for global-scale transport and future distributions of high-speed civil transport (HSCT) exhaust that was emitted into the lower atmosphere. STRAT had four main objectives: defining the rate of transport of trace gases from the stratosphere and troposphere (i.e., HSCT exhaust emissions), improving the understanding of dynamical coupling rates for transport of trace gases between tropical regions and higher latitudes and lower altitudes (between tropical regions, higher latitudes, and lower altitudes are where most ozone resides), improving understanding of chemistry in the upper troposphere and lower stratosphere, and finally, providing data sets for testing two-dimensional and three-dimensional models used in assessments of impacts from stratospheric aviation. To accomplish these objectives, the STRAT Science Team conducted various surface-based remote sensing and in-situ measurements. NASA flew the ER-2 aircraft along with balloons such as ozonesondes and radiosondes just below the tropopause in the Northern Hemisphere to collect data. Along with the ER-2 and balloons, NASA also utilized satellite imagery, theoretical models, and ground sites. The ER-2 collected data on HOx, NOy, CO2, ozone, water vapor, and temperature. The ER-2 also collected in-situ stratospheric measurements of N2O, CH4, CO, HCL, and NO using the Aircraft Laser Infrared Absorption Spectrometer (ALIAS). Ozonesondes and radiosondes were also deployed to collect data on CO2, NO/NOy, air temperature, pressure, and 3D wind. These balloons also took in-situ measurements of N2O, CFC-11, CH4, CO, HCL, and NO2 using the ALIAS. Ground stations were responsible for taking measurements of O3, ozone mixing ratio, pressure, and temperature. Satellites took infrared images of the atmosphere with the goal of aiding in completing STRAT objectives. Pressure and temperature models were created to help plan the mission.

    Links: Temporal Extent: Spatial Extent:
    Minimum Bounding Rectangle: -2.14 -180 68.23 180

    LARC_CLOUD Short Name: STRAT_Satellite_Data Version ID: 1 Unique ID: C3880797472-LARC_CLOUD

  • Tropical Ozone Transport Experiment - Vortex Ozone Transport Experiment (TOTE-VOTE) Supplementary Satellite Data

    https://cmr.earthdata.nasa.gov/search/concepts/C3880798812-LARC_CLOUD.xml
    Description:

    TOTE-VOTE_Satellite_Data is the supplementary satellite data for the Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign. Data in this product includes GOES-7 infrared imagery and GOES-9 water vapor imagery. Data collection for this product is complete. The Tropical Ozone Transport Experiment – Vortex Ozone Transport Experiment (TOTE-VOTE) campaign was conducted by NASA from December 1995 to February 1996. TOTE-VOTE took place in the Pacific region with the goal of gaining a better understanding of background transport processes from tropical/polar regions to midlatitudes. Nineteen flights were conducted using the NASA DC-8 aircraft and balloon sondes with the purpose of measuring the transport of filaments of air moved in or out of the arctic polar vortex and the tropical stratospheric reservoir. TOTE-VOTE also utilized ground-based instruments along with aircrafts. Various instrumentation was used during TOTE-VOTE in order to achieve the mission objectives. The DC-8 aircraft was equipped with the NCAR NOxyO3 instrument, the NASA Langley Airborne Differential Absorption Lidar (DIAL) system, the Forward Scattering Spectrometer Probe (FSSP), the Microwave Temperature Profiler (MTP), the Multiple-Angle Aerosol Spectrometer Probe (MASP), and the diode laser spectrometer system, historically known as the Differential Absorption Carbon monOxide Measurement (DACOM). The NCAR NOxyO3 is a type of 4-channel chemiluminescence instrument that was used to quantify NOx (NO and NO2), NOy (total reactive nitrogen), and ozone (O3) in the air. The DIAL system used four lasers to make DIAL O3 profiles, along with collecting data on aerosol backscattering, aerosol depolarization ratio, aerosol extinction, and aerosol optical depth. The FSSP is an optical particle counter that measured particle size distribution. The MTP is a passive microwave radiometer that measured natural thermal emissions and was used during TOTE-VOTE to record temperature. The MASP spectrometer collected in-situ measurements of particle concentration, particle size distribution, and particle extinction. Along with the MASP’s in-situ measurements, the DACOM spectrometer utilized three diode lasers at different wavelengths to take in-situ measurements of N2O, CO, CH4, and CO2 for TOTE-VOTE. Ground-based instruments collected lidar data while balloon sondes gathered information on wind direction, wind speed, atmospheric pressure, and air temperature.

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

    LARC_CLOUD Short Name: TOTE-VOTE_Satellite_Data Version ID: 1 Unique ID: C3880798812-LARC_CLOUD