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Title: wfip2.model/refcst.01.fcst.01 (Model: Year-Long Reforecast)

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:
Publication Date:
DOE Contract Number:
67025F
Product Type:
Dataset
Research Org(s):
Atmosphere to Electrons (A2e) Data Archive and Portal, Pacific Northwest National Laboratory; PNNL
Sponsoring Org:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
Subject:
17 Wind Energy
OSTI Identifier:
1405129

Macduff, Matt. wfip2.model/refcst.01.fcst.01 (Model: Year-Long Reforecast). United States: N. p., Web. doi:10.21947/1405129.
Macduff, Matt. wfip2.model/refcst.01.fcst.01 (Model: Year-Long Reforecast). United States. doi:10.21947/1405129.
Macduff, Matt. 2017. "wfip2.model/refcst.01.fcst.01 (Model: Year-Long Reforecast)". United States. doi:10.21947/1405129. https://www.osti.gov/servlets/purl/1405129.
@misc{osti_1405129,
title = {wfip2.model/refcst.01.fcst.01 (Model: Year-Long Reforecast)},
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 = {10.21947/1405129},
year = {2017},
month = {10} }
  1. A2e is a multi-year, multi-stakeholder DOE research and development initiative tasked with improving wind plant performance and mitigating risk and uncertainty to achieve substantial reduction in the cost of wind energy production. The A2e strategic vision will enable a new generation of wind plant technology, in which smart wind plants are designed to achieve optimized performance stemming from more complete knowledge of the inflow wind resource and complex flow through the wind plant. Focus areas include high fidelity modeling, verification, and validation; aeroacoustics; integrated wind plant control; integrated systems and analysis; reliability; and data archiving.
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