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Using the NASA EOSDIS Common Metadata Repository

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  • 2D-CloudSat-TRMM Product

    https://cmr.earthdata.nasa.gov/search/concepts/C1214594583-SCIOPS.xml
    Description:

    [Source: 2D-CloudSat-TRMM Product Description, Cloudsat Data Processing Center, http://www.cloudsat.cira.colostate.edu/ ] + CloudSat Data CloudSat data are copied directly from the 2B-GEOPROF HDF files with no alteration beyond limiting the included scans to the region surrounding the intersection with TRMM PR’s path. The CloudSat data range extends 50 scans to either end of the intersection curtain in order to provide context. The first and last 50 CloudSat scans in each file do not have matching TRMM information. Therefore the TRMM Curtain data correspond with the portion of the CloudSat curtain left with these end scans eliminated. + TRMM Data TRMM data is available in two components: - Curtain data, which contain a basic nearest-neighbor interpolation of the TRMM data on to the CloudSat data’s along track resolution. No height interpolation is performed. The latitude and longitude values provided reference the original latitude and longitude from which the interpolated data originates so it will not generally match up directly with the matching CloudSat curtain scan. - Block data, which is the full TRMM scan swath which encloses the CloudSat - TRMM intersect curtain. The block data is pulled directly from the TRMM source file with no spatial interpolation and is always 59 scans in along track length. Complete Product Description: http://www.cloudsat.cira.colostate.edu/dataSpecs.php?prodid=85

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    SCIOPS Short Name: CloudSat_2D-CLOUDSAT-TRMM Version ID: Not provided Unique ID: C1214594583-SCIOPS

  • AIRS-AMSU variables-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRSM_CPR_MAT) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C1236224182-GES_DISC.xml
    Description:

    This is AIRS-CloudSat collocated subset, in NetCDF 4 format. These data contain collocated: AIRS/AMSU retrievals at AMSU footprints, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRSM_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CH4_total_column|Retrieved total column CH4| (molecules/cm2) CloudFraction|CloudSat/CALIPSO Cloud Fraction| (None) CloudLayers| Number of hydrometeor layers| (count) clrolr|Clear-sky Outgoing Longwave Radiation|(Watts/m**2) CO_total_column|Retrieved total column CO| (molecules/cm2) CPR_Cloud_mask| CPR Cloud Mask |(None) Data_quality| Data Quality |(None) H2OMMRSat|Water vapor saturation mass mixing ratio|(gm/kg) H2OMMRStd|Water Vapor Mass Mixing Ratio |(gm/kg dry air) MODIS_Cloud_Fraction| MODIS 250m Cloud Fraction| (None) MODIS_scene_var |MODIS scene variability| (None) nSurfStd|1-based index of the first valid level|(None) O3VMRStd|Ozone Volume Mixing Ratio|(vmr) olr|All-sky Outgoing Longwave Radiation|(Watts/m**2) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) Sigma-Zero| Sigma-Zero| (dB*100) TAirMWOnlyStd|Atmospheric Temperature retrieved using only MW|(K) TCldTopStd|Cloud top temperature|(K) totH2OStd|Total precipitable water vapor| (kg/m**2) totO3Std|Total ozone burden| (Dobson) TSurfAir|Atmospheric Temperature at Surface|(K) TSurfStd|Surface skin temperature|(K) End of parameter information

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    GES_DISC Short Name: AIRSM_CPR_MAT Version ID: 3.2 Unique ID: C1236224182-GES_DISC

  • AIRS-CloudSat cloud mask and radar reflectivities collocation indexes V4.0 (AIRS_CPR_IND) at GES_DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C1236224151-GES_DISC.xml
    Description:

    Version 4.1 is the current version of the data set. Previous versions are no longer available and have been superseded by Version 4.1. This is AIRS-AMSU-CloudSat collocation indexes, in netCDF-4 format. These data map CloudSat profile indexes to the collocated AMSU field of views, and AIRS IR footprints, per AIRS 6-min granule time. Hence it can be considered as Level 1. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, & CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_IND

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    GES_DISC Short Name: AIRS_CPR_IND Version ID: 4.0 Unique ID: C1236224151-GES_DISC

  • AIRS-CloudSat cloud mask, radar reflectivities, and cloud classification matchups V3.2 (AIRS_CPR_MAT) at GES DISC

    https://cmr.earthdata.nasa.gov/search/concepts/C1236224153-GES_DISC.xml
    Description:

    This is AIRS-CloudSat collocated subset, in NetCDF-4 format. These data contain collocated: AIRS Level 1b radiances spectra, CloudSat radar reflectivities, and MODIS cloud mask. These data are created within the frames of the MEaSUREs project. The basic task is to bring together retrievals of water vapor and cloud properties from multiple "A-train" instruments (AIRS, AMSR-E, MODIS, AMSU, MLS, CloudSat), classify each "scene" (instrument look) using the cloud information, and develop a merged, multi-sensor climatology of atmospheric water vapor as a function of altitude, stratified by the cloud classes. This is a large science analysis project that will require the use of SciFlo technologies to discover and organize all of the datasets, move and cache datasets as required, find space/time "matchups" between pairs of instruments, and process years of satellite data to produce the climate data records. The short name for this collection is AIRS_CPR_MAT Parameters contained in the data files include the following: Variable Name|Description|Units CldFrcStdErr|Cloud Fraction|(None) CloudLayers| Number of hydrometeor layers| (count) CPR_Cloud_mask| CPR Cloud Mask| (None) DEM_elevation| Digital Elevation Map| (m) dust_flag|Dust Flag|(None) latAIRS|AIRS IR latitude|(deg) Latitude|CloudSat Latitude |(degrees) LayerBase| Height of Layer Base| (m) LayerTop| Height of layer top| (m) lonAIRS|AIRS IR longitude|(deg) Longitude|CloudSat Longitude| (degrees) MODIS_cloud_flag| MOD35_bit_2and3_cloud_flag| (None) Radar_Reflectivity| Radar Reflectivity Factor| (dBZe) radiances|Radiances|(milliWatts/m**2/cm**-1/steradian) Sigma-Zero| Sigma-Zero| (dB*100) spectral_clear_indicator|Spectral Clear Indicator|(None) Vertical_binsize|CloudSat vertical binsize| (m) End of parameter information

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    GES_DISC Short Name: AIRS_CPR_MAT Version ID: 3.2 Unique ID: C1236224153-GES_DISC

  • CERES A-Train Integrated CALIPSO, CloudSat, CERES, and MODIS (CCCM) Merged Release B1

    https://cmr.earthdata.nasa.gov/search/concepts/C5769450-LARC_ASDC.xml
    Description:

    CER-NEWS_CCCM_Aqua-FM3-MODIS-CAL-CS_RelB1 is the Clouds and the Earth's Radiant Energy System (CERES) NASA Energy and Water cycle Study (NEWS) A-Train Integrated Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), loudSat Cloudsat, CERES, and Moderate-Resolution Imaging Spectroradiometer (MODIS) (CCCM) Merged Release B1 data product. Data was collected using the CALIOP on CALIPSO and CERES Flight Model 3 (FM3), CERES Scanner, MODIS, and Cloudsat on Aqua. Data collection for this product is complete. The CER-NEWS_CCCM_Aqua-FM3-MODIS-CAL-CS_RelB1 contains the current CERES CCCM data. The CALIPSO-CloudSat-CERES-MODIS (CCCM) data set integrates measurements from the CALIPSO CALIOP instrument, CloudSat Cloud Profiling Radar (CPR), CERES, and the MODIS data. The cloud and aerosol properties from CALIOP and cloud properties from the CPR are matched to a MODIS pixel and then an Aqua CERES footprint. The product contains only the CERES footprint in each scan that has the highest CALIPSO and CloudSat ground track coverage. The product consists of all cloud and aerosol properties derived from MODIS radiances included in the Single Scanner Footprint (SSF) product and computed irradiances included in the Cloud Radiative Swath (CRS) product. Two sets of SSF variables are included in the CCCM data. One set covers the entire CERES footprint and the other set is only over CALIOP and CPR ground track. CERES-derived top-of-atmosphere (TOA) shortwave (SW), longwave (LW) and window (WN) irradiances by angular distribution models are also included. In addition, irradiance profiles computed by a radiative transfer model using MODIS, CALIOP, and CPR-derived aerosol, clouds, and surface properties are included in the product. Furthermore, MODIS-derived cloud properties from the algorithm that incorporates CALIOP and CPR cloud information are also included. MODIS-derived cloud properties and TOA irradiances derived from CERES radiances are produced by the same algorithm that produces CERES SSF and CRS products. However, the CCCM product should not be considered as a climate data record since various input data product versions and algorithm modifications will occur along the course of the measurement period. The scan and packet numbers unique to the CERES footprint provide the means to match the data to other CERES products, although the CCCM product contains more near nadir CERES footprints compared with SSF and CRS products. The resulting HDF granule contains 24 hours of data.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 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, the proto flight 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 onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched onboard the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

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    LARC_ASDC Short Name: CER-NEWS_CCCM_Aqua-FM3-MODIS-CAL-CS Version ID: RelB1 Unique ID: C5769450-LARC_ASDC

  • CERES A-Train Integrated CALIPSO, CloudSat, CERES, and MODIS (CCCM) Merged Release D1

    https://cmr.earthdata.nasa.gov/search/concepts/C2146741027-LARC_ASDC.xml
    Description:

    CER_CCCM_Aqua-FM3-MODIS-CAL-CS_RelD1 is the Clouds and the Earth's Radiant Energy System (CERES) A-Train Integrated Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), CloudSat Cloudsat, CERES, and Moderate-Resolution Imaging Spectroradiometer (MODIS) (CCCM) Merged Release D1 data product. Data was collected using the CALIOP on CALIPSO; Cloudsat Cloud Profiling Radar (CPR); and CERES Flight Model 3 (FM3), CERES Scanner, and MODIS, on Aqua. The CALIPSO-CloudSat-CERES-MODIS (CCCM) data set integrates measurements from the CALIPSO CALIOP instrument, CloudSat Cloud Profiling Radar (CPR), CERES, and the MODIS data. The cloud and aerosol properties from CALIOP and cloud properties from the CPR are matched to a MODIS pixel and then an Aqua CERES footprint. The product contains only the CERES footprint in each scan that has the highest CALIPSO and CloudSat ground track coverage. The product consists of all cloud and aerosol properties derived from MODIS radiances included in the Single Scanner Footprint (SSF) product and computed irradiances included in the Cloud Radiative Swath (CRS) product. Two sets of SSF variables are included in the CCCM data. One set covers the entire CERES footprint, and the other set is only over CALIOP and CPR ground track. CERES-derived top-of-atmosphere (TOA) shortwave (SW), longwave (LW), and window (WN) irradiances by angular distribution models are also included. In addition, irradiance profiles computed by a radiative transfer model using MODIS, CALIOP, and CPR-derived aerosol, clouds, and surface properties are included in the product. Furthermore, MODIS-derived cloud properties from the algorithm that incorporates CALIOP instrument data and CPR cloud information are also included. MODIS-derived cloud properties and TOA irradiances derived from CERES radiances are produced by the same algorithm that produces CERES SSF and CRS products. However, the CCCM product should not be considered as a climate data record since various input data product versions and algorithm modifications will occur along the course of the measurement period. The scan and packet numbers unique to the CERES footprint provide the means to match the data to other CERES products, although the CCCM product contains more near nadir CERES footprints compared with SSF and CRS products. The resulting HDF granule contains 24 hours of data.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. 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, Proto-Flight Model (PFM), was launched on November 27, 1997 as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments, Flight Models 1 and 2 (FM1 and FM2) were launched into polar orbit onboard the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments Flight Models 3 and 4 (FM3 and FM4) were launched onboard Earth Observing System (EOS) Aqua on May 4, 2002. The CERES Flight Model 5 (FM5) instrument was launched onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite on October 28, 2011. The newest CERES instrument, Flight Model 6 (FM6), was launched onboard the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017. RelD1 incorporates the latest CERES SSF algorithms, and versions of the CALIPSO and CloudSat data. An additional input is the CloudSat 2C-ICE product. This version also includes single short CALIPSO cloud information.

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    LARC_ASDC Short Name: CER_CCCM_Aqua-FM3-MODIS-CAL-CS Version ID: RelD1 Unique ID: C2146741027-LARC_ASDC

  • CloudSat 1B-CPR product version 008

    https://cmr.earthdata.nasa.gov/search/concepts/C1214586543-SCIOPS.xml
    Description:

    [Source: CloudSat Standard Data Products Handbook, Cooperative Institute for Research in the Atmosphere, Colorado State University] The CloudSat Cloud Profiling Radar (CPR) measures the backscattered power as a function of distance from the radar. The backscattered power is sampled every 240 m; there are 125 range bins, for a total vertical window of 30 km. The raw, Level 0 data will be converted to calibrated Level 1B data using pre-launch and in-flight calibration measurements. The Level 1 B CPR Process Description and Interface Control Document presents the calibration theory and defines the Level 0 data contents, the Level 1B contents, and the conversion algorithm. View the complete documentation in the CloudSat Standard Data Products Handbook: Please see Related URL Links

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    SCIOPS Short Name: CloudSat_1B-CPR Version ID: 8 Unique ID: C1214586543-SCIOPS

  • CloudSat 2B-CLDCLASS product version 009

    https://cmr.earthdata.nasa.gov/search/concepts/C1214586925-SCIOPS.xml
    Description:

    [Source:CloudSat Standard Data Products Handbook, Cooperative Institute for Research in the Atmosphere, Colorado State University] The 2B-CLDCLASS algorithm receives input from 2B-GEOPROF and the corresponding MODIS-AUX and ECMWF-AUX granules to identify eight basic cloud types (that are recognized by surface observers internationally). View the complete documentation in the CloudSat Standard Data Products Handbook: Please see Related URL Links

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    SCIOPS Short Name: CloudSat_2B-CLDCLASS Version ID: 9 Unique ID: C1214586925-SCIOPS

  • Cloudsat 2B-GEOPROF-LIDAR product version 003

    https://cmr.earthdata.nasa.gov/search/concepts/C1214591593-SCIOPS.xml
    Description:

    [Source: "Level 2 Radar-Lidar GEOPROF Product VERSION 0 - Draft Process Description and Interface Control Document"] The Cloudsat cloud profiling radar (CPR) and the Calipso Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP; hereafter referred as the Lidar) are slated to fly in close coordination with one another when on orbit within the Aqua MODIS swath. The obvious synergy of this combined observational capability is significant. With the ability of the CPR to probe optically thick large-particle layers and the ability of the Lidar to sense optically thin layers and tenuous cloud tops, the two instruments have the potential of providing as complete a picture of the occurrence of cloud and aerosol as has been compiled to date. However, not only do the two instruments sense the atmosphere in different ways, the macroscopic characteristics of the observations such as vertical resolution, spatial resolution, and spatial frequency are quite different from one another. The pointing certainty of the two instruments also adds complexity to combining the two data streams. Our goal is to optimally merge these two data streams in order to produce the most accurate quantitative description of the location of hydrometeor layers in the atmosphere that is possible. Beyond this primary goal, we will also attempt to extract from the combined data streams the degree to which the volumes illuminated by the cloudsat CPR are fully or partially filled by hydrometeors. This document describes the algorithm that will be implemented operationally to combine the CPR and Lidar data cloudmasks to meet the goals described above. This algorithm will - Identify the hydrometeor layer base and top heights for up to five layers in each vertical CPR profile. - Estimate the degree to which each radar resolution volume is cloud filled. View Additional Information: http://cloudsat.cira.colostate.edu/dataIssues.php?prodid=10

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    SCIOPS Short Name: Cloudsat_2B-GEOPROF-LIDAR Version ID: 003 Unique ID: C1214591593-SCIOPS

  • CloudSat Cloud mask and radar reflectivities (2B-GEOPROF product version 011)

    https://cmr.earthdata.nasa.gov/search/concepts/C1214586763-SCIOPS.xml
    Description:

    [Source:CloudSat Standard Data Products Handbook, Cooperative Institute for Research in the Atmosphere, Colorado State University] The Geometrical Profile algorithm reads a CloudSat 1B-CPR granule and the corresponding MODIS-AUX and ECMWF-AUX granules to produce an estimate of the radar reflectivity factor for those levels, in the vertical column, which contain a significant echo (Stephens et al, 2001). This product can also be called the Cloud Mask as it provides the first product to provide a field that indicates the presence of a cloud inside a CPR bin. The presence or absence and vertical location of cloud layers impose powerful constraints on the radiative properties of an atmospheric column and, thereby, modulate strongly the radiative heating rate of the column. Comprehensive information on the vertical distribution of cloud layers have been largely missing from analyses of conventional passive-sensor satellite radiometers that observe only the emitted and reflected radiance from the atmosphere and surface. Conventional satellite data have only allowed us to crudely estimate the location and vertical extent of clouds.

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    SCIOPS Short Name: CloudSat_2B-GEOPROF Version ID: Version 11 Unique ID: C1214586763-SCIOPS