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    • NLDAS Mosaic Land Surface Model L4 Monthly Climatology 0.125 x 0.125 degree V2.0 (NLDAS_MOS0125_MC) at GES DISC

    Metadata Updated: December 6, 2023

    This monthly climatology data set contains a series of land surface parameters simulated from the Mosaic land-surface model (LSM) for Phase 2 of the North American Land Data Assimilation System (NLDAS-2). The data are in 1/8th degree grid spacing. The temporal resolution is monthly, ranging from January to December. The NLDAS-2 monthly climatology data are the monthly data averaged over forty years (1981 - 2020). The file format is netCDF. The previous version of this dataset (NLDAS_MC 002) was a 30-year average and was stored in GRIB file format.

    A brief description about the NLDAS-2 hourly and monthly Mosaic LSM data can be found from the NLDAS_MOS0125_H_2.0 and NLDAS_MOS0125_M_2.0 landing pages.

    Details about the NLDAS-2 configuration of the Mosaic LSM can be found in Xia et al. (2012).

    For more information, please see the README Document.

    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/10.1029/2011JD016048
    https://doi.org/10.1029/2011JD016051
    https://doi.org/10.1016/0309-1708(94)90024-8

    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

    NLDAS-2 Mosaic 0.125-degree Monthly Climatology Soil moisture content 0-100 cm [kg m-2] January (1981 - 2020).

    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 C1888969742-GES_DISC
    Data First Published 2020-06-18
    Language en-US
    Data Last Modified 2022-07-01
    Category NLDAS, 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 NLDAS project. David M. Mocko, NASA/GSFC/HSL. 2022-07-01. NLDAS_MOS0125_MC. Version 2.0. NLDAS Mosaic Land Surface Model L4 Monthly Climatology 0.125 x 0.125 degree V2.0. Greenbelt, Maryland, 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/GXN4C7MNIY4C. https://disc.gsfc.nasa.gov/datacollection/NLDAS_MOS0125_MC_2.0.html. Digital Science Data.
    Creator NLDAS project
    Data Presentation Form Digital Science Data
    Editor David M. Mocko, NASA/GSFC/HSL
    Graphic Preview Description NLDAS-2 Mosaic 0.125-degree Monthly Climatology Soil moisture content 0-100 cm kg m-2 January (1981 - 2020).
    Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/NLDAS_MOS0125_MC_2.0.png
    Harvest Object Id 76637952-a96c-4863-8714-244dc79625bd
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.5067/GXN4C7MNIY4C
    Metadata Type geospatial
    Old Spatial -125.0 25.0 -67.0 53.0
    Program Code 026:001
    Related Documents https://doi.org/10.1029/2011JD016048, https://doi.org/10.1029/2011JD016051, https://doi.org/10.1016/0309-1708(94)90024-8
    Release Place Greenbelt, Maryland, USA
    Series Name NLDAS_MOS0125_MC
    Source Datajson Identifier True
    Source Hash d05be757a254b2568d49e5eb5e2d28af32918dc21ce09c3add111aff894837a9
    Source Schema Version 1.1
    Spatial
    Temporal 1981-01-01T00:00:00Z/2020-12-31T23:59:59.999Z

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