Model: Year-Long Reforecast, Forecast, Domain 02

Macduff, Matt

doi:10.21947/1405128

Title: Model: Year-Long Reforecast, Forecast, Domain 02

Dataset
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Abstract

The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.

Authors:

Macduff, Matt

Pacific Northwest National Laboratory

Publication Date:: 2022-09-21

DOE Contract Number:: 67025F

Research Org.:: Pacific Northwest National Lab. (PNNL), Richland, WA (United States). Atmosphere to Electrons (A2e) Data Archive and Portal

Sponsoring Org.:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)

Subject:: 17 Wind Energy

OSTI Identifier:: 1405128

DOI:: https://doi.org/10.21947/1405128

Citation Formats


                    Macduff, Matt. Model: Year-Long Reforecast, Forecast, Domain 02.  United States: N. p., 2022. 
        Web.  doi:10.21947/1405128.

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                    Macduff, Matt. Model: Year-Long Reforecast, Forecast, Domain 02.  United States.  doi:https://doi.org/10.21947/1405128

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                    Macduff, Matt. 2022.  
"Model: Year-Long Reforecast, Forecast, Domain 02".  United States.  doi:https://doi.org/10.21947/1405128.  https://www.osti.gov/servlets/purl/1405128. Pub date:Wed Sep 21 00:00:00 EDT 2022

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@article{osti_1405128,

  title        = {Model: Year-Long Reforecast, Forecast, Domain 02},

  author       = {Macduff, Matt},

  abstractNote = {The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.},

  doi          = {10.21947/1405128},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2022},

  month        = {9}

}

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DOI: https://doi.org/10.21947/1405128

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Model: Year-Long Reforecast, Forecast 02, Domain 02

Dataset Macduff, Matt

The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.
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The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.
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The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.
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The primary purpose of WFIP2 Model Development Team is to improve existing numerical weather prediction models in a manner that leads to improved wind forecasts in regions of complex terrain. Improvements in the models will come through better understanding of the physics associated with the wind flow in and around the wind plant across a range of temporal and spatial scales, which will be gained through WFIP2’s observational field study and analysis.

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