Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content
  • Feedback

    • GPM AMSU-B on NOAA17 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km V07 (GPM_2AGPROFNOAA17AMSUB) at GES DISC

    Metadata Updated: December 6, 2023

    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 Older versions will no longer be available and have been superseded by Version 07.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 'CLIM' products differ from their 'regular' counterparts (without the 'CLIM' in the name) by the ancillary data they use. They are Climate-Reference products, which requires homogeneous ancillary data over the climate time series. Hence, the ECMWF-Interim (European Centre for Medium-Range Weather Forecasts, 2-3 months lag behind the regular production) reanalysis is used as ancillary data to derive surface and atmospheric conditions required by the GPROF algorithm for the 'CLIM' output. The GPROF databases are also adjusted accordingly for these climate-referenced retrievals.

    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 F11, F13, F14, 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. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

    Downloads & Resources

    Dates

    Metadata Created Date May 30, 2023
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    GPM AMSU-B on NOAA17 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km (GPM_2AGPROFNOAA17AMSUB)

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date May 30, 2023
    Metadata Updated Date December 6, 2023
    Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
    Maintainer
    Identifier C2264134325-GES_DISC
    Data First Published 2022-05-09
    Language en-US
    Data Last Modified 2022-05-01
    Category GPM, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation GPM Science Team. 2022-05-09. GPM_2AGPROFNOAA17AMSUB. GPM AMSU-B on NOAA17 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km V07. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/GPM/AMSUB/NOAA17/GPROFCLIM/2A/07. https://disc.gsfc.nasa.gov/datacollection/GPM_2AGPROFNOAA17AMSUB_CLIM_07.html. Digital Science Data.
    Creator GPM Science Team
    Data Presentation Form Digital Science Data
    Graphic Preview Description GPM AMSU-B on NOAA17 (GPROF) Climate-based Radiometer Precipitation Profiling L2 1.5 hours 16 km (GPM_2AGPROFNOAA17AMSUB)
    Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/2A-CLIM-BR.NOAA17.AMSUB.GPROF2017v2.20020628-S191347-E205501.000057.V05A.PNG
    Harvest Object Id 739c34ba-e443-4701-b821-e8a3fa6f3a4a
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/GPM/AMSUB/NOAA17/GPROFCLIM/2A/07
    Metadata Type geospatial
    Old Spatial -180.0 -90.0 180.0 90.0
    Program Code 026:001
    Release Place Greenbelt, MD, USA
    Series Name GPM_2AGPROFNOAA17AMSUB
    Source Datajson Identifier True
    Source Hash 6c1c4938bc77247565885080b85445cc4c147ecfa14deeec064ced7129e77b44
    Source Schema Version 1.1
    Spatial
    Temporal 2002-06-28T00:00:00Z/2009-12-18T23:59:59.999Z

    Didn't find what you're looking for? Suggest a dataset here.