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    • GPM DPR Ku Precipitation Profile 2A 1.5 hours 5 km V07 (GPM_2AKu) at GES DISC

    Metadata Updated: December 7, 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 Older versions will no longer be available and have been superseded by Version 07.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 2AKu algorithm is a single-frequency retrieval that relies on Ku-band data only, and provides precipitation estimates from the Ku radar of the Dual-Frequency Precipitation Radar on the core GPM spacecraft.

    The Ku Level-2A product, 2AKu, ”Ku precipitation,” is written as a 1 swath structure. The swath is NS, normal scans.

    Since the Ku-band channel of the Dual-Frequency Precipitaiton Radar (DPR) is very similar to the TRMM PR, the principal challenge in the development of the DPR level 2 algorithms is to combine the new Ka-band data with the Ku-band data.

    It is important to note the difference between the single- and the dual-frequency (DF) algorithms. While this 2AKu dataset is a single-frequency retrieval, the DF algorithm employs both KuPR and KaPR L1B standard products as inputs. The DF algorithm cannot be executed unless both L1B products are available. Pixels observed by DPR can be categorized into three types: pixels in the inner swath of normal scans (observed both by KuPR and KaPR), pixels in the outer swath of normal scans (observed only by KuPR), and pixels in the interleaved scans (observed only by KaPR in the high-sensitivity mode). The KuPR algorithm is executed for pixels in both inner and outer swaths of normal scans. The KaPR algorithm is executed for pixels in the inner swath of normal scans and in the interleaved scans. The DF algorithm is executed for pixels of all the three kinds.

    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 December 1, 2022
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Graphic Preview

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 7, 2023
    Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
    Maintainer
    Identifier C2179081538-GES_DISC
    Data First Published 2021-12-06
    Language en-US
    Data Last Modified 2021-12-06
    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 Toshio Iguchi, Robert Meneghini. 2021-12-10. GPM_2AKu. Version 07. GPM DPR Ku Precipitation Profile 2A 1.5 hours 5 km V07. Greenbelt, MD. 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/DPR/Ku/2A/07. https://disc.gsfc.nasa.gov/datacollection/GPM_2AKu_07.html. Digital Science Data.
    Creator Toshio Iguchi, Robert Meneghini
    Data Presentation Form Digital Science Data
    Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/GPM/browse/GPM_2AKu.png
    Harvest Object Id 58c8ed9f-395b-40ca-9ff6-c1e87e1b3059
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/GPM/DPR/Ku/2A/07
    Metadata Type geospatial
    Old Spatial -180.0 -70.0 180.0 70.0
    Program Code 026:001
    Release Place Greenbelt, MD
    Series Name GPM_2AKu
    Source Datajson Identifier True
    Source Hash 6228996b736142fd6412150ebd678e5b1e64beec02940064478425f661880eb9
    Source Schema Version 1.1
    Spatial
    Temporal 2014-03-08T00:00:00Z/2023-02-28T00:00:00Z

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