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    • This is a Non-Federal dataset covered by different Terms of Use than Data.gov.

    GPM ATMS on SUOMI-NPP (GPROF) Radiometer Precipitation Profiling L2 1.5 hours 16 km V07 (GPM_2AGPROFNPPATMS) at GES DISC

    Metadata Updated: February 22, 2025

    Version 07 is the current version of the data set. Older versions will no longer be available and have been superseded by Version 07.

    The 2AGPROF (Goddard Profiling) algorithm retrieves consistent precipitation and related science fields from the following GMI and partner passive microwave sensors: + TMI (TRMM) + GMI, (GPM) + SSMI (DMSP F15), SSMIS (DMSP F16, F17, F18, F19) + AMSR2 (GCOM-W1) + MHS (NOAA 18,19) + MHS (METOP A,B) + ATMS (NPP) + SAPHIR (MT1)

    This provides the bulk of the 3-hour coverage achieved by GPM. For each sensor, there are nearrealtime (NRT) products, standard products, and climate products. These differ only in the amount of data that are available within 3 hours, 48 hours, and 3 months of collection, as well as the ancillary data used. The NRT product uses GANAL forecast fields. Standard products use the GANAL analysis product, while the climate product uses ECMWF reanalysis in order to allow for consistent data records with earlier missions. These earlier data may be archived separately. The main strength of the product is the large sampling provided.

    The GPM radiometer algorithms are Bayesian-type algorithms. These algorithms search an apriori database of potential rain profiles and retrieve a weighted average of these entries based upon the proximity of the observed brightness temperature (Tb) to the simulated Tb corresponding to each rain profile. By using the same a-priori database of rain profiles, with appropriate simulated Tb for each constellation sensor, the Bayesian method is completely parametric and thus well suited for GPM's constellation approach. The a-priori information will be supplied by the combined algorithm supplied by GPM's core satellite as soon after launch as feasible. Databases for V0 of the algorithm had to be constructed from various sources as described in the ATBD. The solution provides a mean rain rate as well as the vertical structure of cloud and precipitation hydrometeors and their uncertainty.

    Access & Use Information

    Public: This dataset is intended for public access and use. Non-Federal: This dataset is covered by different Terms of Use than Data.gov. License: No license information was provided.

    Downloads & Resources

    Dates

    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025

    Metadata Source

    Harvested from nasa test json

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date February 22, 2025
    Metadata Updated Date February 22, 2025
    Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
    Maintainer
    Identifier C2264133914-GES_DISC
    Data First Published 2022-05-09
    Language en-US
    Data Last Modified 2025-02-19
    Category GPM, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Harvest Object Id 71e06592-ad7e-48c1-bd5c-1a9e5de1364d
    Harvest Source Id a73e0c30-4684-40ef-908e-d22e9e9e5f86
    Harvest Source Title nasa test json
    Homepage URL https://doi.org/10.5067/GPM/ATMS/NPP/GPROF/2A/07
    Metadata Type geospatial
    Old Spatial -180.0 -90.0 180.0 90.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 51654b2df6b1b930a8e825e4ddb807859e1eff15d9944e3c73ef80a54f8121d6
    Source Schema Version 1.1
    Spatial
    Temporal 2014-01-31T00:00:00Z/2023-03-01T00:00:00Z

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