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    • Model codes and run scripts developed for the addition of Four-Dimensional Data Assimilation (FDDA) to the Model for Prediction Across Scales - Atmosphere (MPAS-A)

    Metadata Updated: May 2, 2021

    Web link to a Zenodo repository containing Model codes, run scripts, the computational mesh definition file, and user instructions for the addition of Four-Dimensional Data Assimilation (FDDA) to the Model for Prediction Across Scales - Atmosphere (MPAS-A).

    This dataset is associated with the following publication: Bullock, R., H. Foroutan, R. Gilliam, and J. Herwehe. Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0). Geoscientific Model Development. Copernicus Publications, Katlenburg-Lindau, GERMANY, 11: 2897-2922, (2018).

    Access & Use Information

    Public: This dataset is intended for public access and use. License: See this page for license information.

    Downloads & Resources

    References

    https://doi.org/10.5194/gmd-11-2897-2018

    Dates

    Metadata Created Date November 12, 2020
    Metadata Updated Date May 2, 2021

    Metadata Source

    Harvested from EPA ScienceHub

    Other Data Resources

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date November 12, 2020
    Metadata Updated Date May 2, 2021
    Publisher U.S. EPA Office of Research and Development (ORD)
    Maintainer
    Identifier https://doi.org/10.23719/1434298
    Data Last Modified 2017-12-11
    Public Access Level public
    Bureau Code 020:00
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Harvest Object Id d11e71b7-9baa-413e-b628-fdcfb81818d9
    Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
    Harvest Source Title EPA ScienceHub
    License https://pasteur.epa.gov/license/sciencehub-license.html
    Program Code 020:094
    Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
    Related Documents https://doi.org/10.5194/gmd-11-2897-2018
    Source Datajson Identifier True
    Source Hash 990b384ea3a1dc127e34863c307e09197e2e1bfe
    Source Schema Version 1.1

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