Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining

doi:10.1029/2019MS001711

Title: Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining

Authors:

^[1];

^[1]

Department of Atmospheric SciencesUniversity of Washington Seattle WA USA

Publication Date:: 2019-08-22

Sponsoring Org.:: USDOE

OSTI Identifier:: 1567951

Alternate Identifier(s):: OSTI ID: 1567953

Grant/Contract Number:: SC0012451; SC0016433

Resource Type:: Published Article

Journal Name:: Journal of Advances in Modeling Earth Systems

Additional Journal Information:: Journal Name: Journal of Advances in Modeling Earth Systems Journal Volume: 11 Journal Issue: 8; Journal ID: ISSN 1942-2466

Publisher:: American Geophysical Union (AGU)

Country of Publication:: United States

Language:: English

Citation Formats


                    Brenowitz, Noah D., and Bretherton, Christopher S. Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining.  United States: N. p., 2019. 
        Web.  doi:10.1029/2019MS001711.

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                    Brenowitz, Noah D., & Bretherton, Christopher S. Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining.  United States.  doi:10.1029/2019MS001711.

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                    Brenowitz, Noah D., and Bretherton, Christopher S. Thu .  
        "Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining".  United States.  doi:10.1029/2019MS001711.

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@article{osti_1567951,

  title        = {Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining},

  author       = {Brenowitz, Noah D. and Bretherton, Christopher S.},

  abstractNote = {},

  doi          = {10.1029/2019MS001711},

  journal      = {Journal of Advances in Modeling Earth Systems},

  number       = 8,

  volume       = 11,

  place        = {United States},

  year         = {2019},

  month        = {8}

}

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DOI: 10.1029/2019MS001711

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Title: Spatially Extended Tests of a Neural Network Parametrization Trained by Coarse‐Graining

Citation Formats

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