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    • FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (GDAS and CHIRPS-PRELIM) V001 (FLDAS_NOAH01_CP_GL_M) at GES DISC

    Metadata Updated: December 7, 2023

    This dataset contains a series of land surface parameters simulated from the Noah 3.6.1 model in the Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), adapted from Land Information System (LIS7). The dataset contains 28 parameters in a 0.10 degree spatial resolution and from January 2019 to present. The temporal resolution is monthly and the spatial coverage is global (60S, 180W, 90N, 180E).

    The simulation was forced by a combination of the Global Data Assimilation System (GDAS) data and Climate Hazards Group InfraRed Precipitation with Station Preliminary (CHIRPS-PRELIM) 6-hourly rainfall data that has been downscaled using the NASA Land Data Toolkit, restarted from CHIRPS-FINAL of the previous month. The simulation was initialized on January 1, 2019 using soil moisture and other state fields from a FLDAS/Noah model climatology for that day of the year.

    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

    References

    https://doi.org/10.1038/sdata.2017.12
    https://doi.org/10.3390/w11101968

    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

    The GES-DISC Interactive Online Visualization ANd aNalysis Interface (Giovanni) is a web-based tool that allows users to interactively visualize and analyze data.

    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 C2020765110-GES_DISC
    Data First Published 2021-03-02
    Language en-US
    Data Last Modified 2021-03-02
    Category FLDAS, 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 Jossy Jacob, Kimberly Slinksi (NASA/GSFC/HSL). 2021-03-02. FLDAS_NOAH01_CP_GL_M. Version 001. FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (GDAS and CHIRPS-PRELIM). 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/L8GPRQWAWHE3. https://disc.gsfc.nasa.gov/datacollection/FLDAS_NOAH01_CP_GL_M_001.html. Digital Science Data.
    Creator Jossy Jacob, Kimberly Slinksi (NASA/GSFC/HSL)
    Data Presentation Form Digital Science Data
    Graphic Preview Description The GES-DISC Interactive Online Visualization ANd aNalysis Interface (Giovanni) is a web-based tool that allows users to interactively visualize and analyze data.
    Graphic Preview File https://giovanni.gsfc.nasa.gov/giovanni/#dataKeyword=FLDAS_NOAH01_CP_GL_M
    Harvest Object Id 14273367-e742-44e6-8b5a-11393d2ff512
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/L8GPRQWAWHE3
    Metadata Type geospatial
    Old Spatial -180.0 -60.0 180.0 90.0
    Program Code 026:001
    Related Documents https://doi.org/10.1038/sdata.2017.12, https://doi.org/10.3390/w11101968
    Release Place Greenbelt, MD, USA
    Series Name FLDAS_NOAH01_CP_GL_M
    Source Datajson Identifier True
    Source Hash 7b225215499a8d0ba150c09fb094e5cb0ee32eea0e4662cb8fa60125eae4e672
    Source Schema Version 1.1
    Spatial
    Temporal 2019-01-01T00:00:00Z/2022-01-17T00:00:00Z

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