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  • NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1

    Metadata Updated: November 12, 2020

    PERSIANN Precipitation Climate Data Record (PERSIANN-CDR) is a daily quasi-global precipitation product for the period of 1982 to the present (note that there is a delay in data availability due to processing and data input availability). The data covers from 60 degrees S to 60 degrees N and 0 degrees to 360 degrees longitude at 0.25 degree spatial resolution. The product is developed using Gridded Satellite (GridSat-B1) IR data that are derived from merging ISCCP B1 IR data, along with GPCP version 2.2.

    Access & Use Information

    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.

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    Dates

    Metadata Date November 5, 2018
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Reference Date(s) June 1, 2014 (publication), June 1, 2014 (revision), May 31, 2013 (creation)
    Frequency Of Update quarterly

    Graphic Preview

    PERSIANN-CDR Daily Precipitation Example

    Additional Metadata

    Resource Type Dataset
    Metadata Date November 5, 2018
    Metadata Created Date November 12, 2020
    Metadata Updated Date November 12, 2020
    Reference Date(s) June 1, 2014 (publication), June 1, 2014 (revision), May 31, 2013 (creation)
    Responsible Party DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce (Point of Contact)
    Contact Email
    Guid gov.noaa.ncdc:C00854
    Access Constraints Cite as: Sorooshian, Soroosh; Hsu, Kuolin; Braithwaite, Dan; Ashouri, Hamed; and NOAA CDR Program (2014): NOAA Climate Data Record (CDR) of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN-CDR), Version 1 Revision 1. [indicate subset used]. NOAA National Centers for Environmental Information. doi:10.7289/V51V5BWQ [access date]., Publications using this dataset should also cite the following journal article: Ashouri H., K. Hsu, S. Sorooshian, D. K. Braithwaite, K. R. Knapp, L. D. Cecil, B. R. Nelson, and O. P. Prat, 2015: PERSIANN-CDR: Daily Precipitation Climate Data Record from Multi-Satellite Observations for Hydrological and Climate Studies. Bull. Amer. Meteor. Soc., doi: https://doi.org/10.1175/BAMS-D-13-00068.1., See the Use Agreement for this CDR available on the CDR page., Distribution liability: NOAA and NCEI make no warranty, expressed or implied, regarding these data, nor does the fact of distribution constitute such a warranty. NOAA and NCEI cannot assume liability for any damages caused by any errors or omissions in these data. If appropriate, NCEI can only certify that the data it distributes are an authentic copy of the records that were accepted for inclusion in the NCEI archives., Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
    Bbox East Long 180.0
    Bbox North Lat 60.0
    Bbox South Lat -60.0
    Bbox West Long -180.0
    Coupled Resource
    Frequency Of Update quarterly
    Graphic Preview Description PERSIANN-CDR Daily Precipitation Example
    Graphic Preview File https://www1.ncdc.noaa.gov/pub/data/metadata/images/C00854_PERSIANN.PNG
    Graphic Preview Type PNG
    Harvest Object Id e0bb72e7-eb8d-4aa3-976c-73e620628861
    Harvest Source Id 2cb3ef77-1683-4c2a-9119-dc65e50917c6
    Harvest Source Title ncdc
    Licence See the Algorithm Theoretical Basis Document for a description of the use limitations for this dataset.
    Metadata Language eng; USA
    Metadata Type geospatial
    Progress onGoing
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True
    Temporal Extent Begin 1983-01-01

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