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Title: The Second Wind Forecast Improvement Project (WFIP2): General Overview

Abstract

WFIP2, a multi-institutional, multiscale modeling and observational study in complex terrain, advances understanding of boundary-layer physics and improves forecasts for wind energy applications. In 2015 the U.S. Department of Energy initiated a four-year study, the second Wind Forecast Improvement Project (WFIP2), to improve the representation of boundary-layer physics and related processes in mesoscale models for better treatment of scales applicable to wind and wind power forecasts. This goal challenges numerical weather prediction (NWP) models in complex terrain in large part due to inherent assumptions underlying their boundary-layer parameterizations. The WFIP2 effort involved the wind industry, universities, the National Oceanographic and Atmospheric Administration (NOAA), and the U.S. Department of Energy's (DOE's) national laboratories in an integrated observational and modeling study. Observations spanned 18 months to assure a full annual cycle of continuously recorded observations from remote-sensing and in situ measurement systems. The study area comprised the Columbia Basin of eastern Washington and Oregon, containing more than 6 GW of installed wind capacity. Nests of observational systems captured important atmospheric scales from mesoscale to NWP subgrid scale. Model improvements targeted NOAA's High-Resolution Rapid Refresh (HRRR) model to facilitate transfer of improvements to National Weather Service (NWS) operational forecast models, and these modificationsmore » have already yielded quantitative improvements for the short-term operational forecasts. This paper describes the general WFIP2 scope and objectives, the particular scientific challenges of improving wind forecasts in complex terrain, early successes of the project, and an integrated approach to archiving observations and model output. It provides an introduction for a set of more detailed BAMS papers addressing WFIP2 observational science, modeling challenges and solutions, incorporation of forecasting uncertainty into decision support tools for the wind industry, and advances in coupling improved mesoscale models to microscale models that can represent interactions between wind plants and the atmosphere.« less

Authors:
 [1];  [1];  [2];  [3];  [4];  [5];  [6];  [7];  [5];  [4];  [1];  [8];  [7]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. National Oceanic and Atmospheric Administration (NOAA), Washington, DC (United States)
  3. National Renewable Energy Lab. (NREL), Golden, CO (United States)
  4. Univ. of Colorado, Boulder, CO (United States); National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  5. Vaisala, Inc., Seattle, WA (United States)
  6. Univ. of Colorado, Boulder, CO (United States); National Renewable Energy Lab. (NREL), Golden, CO (United States)
  7. National Oceanic and Atmospheric Administration (NOAA), Boulder, CO (United States)
  8. Sharply Focused, LLC, Portland, OR (United States)
Publication Date:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Wind Energy Technologies Office; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Water Power Technologies Office
OSTI Identifier:
1512668
Report Number(s):
NREL/JA-5000-72581
Journal ID: ISSN 0003-0007
Grant/Contract Number:  
AC36-08GO28308
Resource Type:
Accepted Manuscript
Journal Name:
Bulletin of the American Meteorological Society
Additional Journal Information:
Journal Volume: 100; Journal Issue: 9; Journal ID: ISSN 0003-0007
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; wind energy; WFIP2; complex terrain; overview; mesoscale; microscale; modeling

Citation Formats

Shaw, William J., Berg, Larry K., Cline, Joel, Draxl, Caroline, Djalalova, Irina, Grimit, Eric P., Lundquist, Julie K., Marquis, Melinda, McCaa, Jim, Olson, Joseph B., Sivaraman, Chitra, Sharp, Justin, and Wilczak, James M. The Second Wind Forecast Improvement Project (WFIP2): General Overview. United States: N. p., 2019. Web. doi:10.1175/BAMS-D-18-0036.1.
Shaw, William J., Berg, Larry K., Cline, Joel, Draxl, Caroline, Djalalova, Irina, Grimit, Eric P., Lundquist, Julie K., Marquis, Melinda, McCaa, Jim, Olson, Joseph B., Sivaraman, Chitra, Sharp, Justin, & Wilczak, James M. The Second Wind Forecast Improvement Project (WFIP2): General Overview. United States. https://doi.org/10.1175/BAMS-D-18-0036.1
Shaw, William J., Berg, Larry K., Cline, Joel, Draxl, Caroline, Djalalova, Irina, Grimit, Eric P., Lundquist, Julie K., Marquis, Melinda, McCaa, Jim, Olson, Joseph B., Sivaraman, Chitra, Sharp, Justin, and Wilczak, James M. Fri . "The Second Wind Forecast Improvement Project (WFIP2): General Overview". United States. https://doi.org/10.1175/BAMS-D-18-0036.1. https://www.osti.gov/servlets/purl/1512668.
@article{osti_1512668,
title = {The Second Wind Forecast Improvement Project (WFIP2): General Overview},
author = {Shaw, William J. and Berg, Larry K. and Cline, Joel and Draxl, Caroline and Djalalova, Irina and Grimit, Eric P. and Lundquist, Julie K. and Marquis, Melinda and McCaa, Jim and Olson, Joseph B. and Sivaraman, Chitra and Sharp, Justin and Wilczak, James M.},
abstractNote = {WFIP2, a multi-institutional, multiscale modeling and observational study in complex terrain, advances understanding of boundary-layer physics and improves forecasts for wind energy applications. In 2015 the U.S. Department of Energy initiated a four-year study, the second Wind Forecast Improvement Project (WFIP2), to improve the representation of boundary-layer physics and related processes in mesoscale models for better treatment of scales applicable to wind and wind power forecasts. This goal challenges numerical weather prediction (NWP) models in complex terrain in large part due to inherent assumptions underlying their boundary-layer parameterizations. The WFIP2 effort involved the wind industry, universities, the National Oceanographic and Atmospheric Administration (NOAA), and the U.S. Department of Energy's (DOE's) national laboratories in an integrated observational and modeling study. Observations spanned 18 months to assure a full annual cycle of continuously recorded observations from remote-sensing and in situ measurement systems. The study area comprised the Columbia Basin of eastern Washington and Oregon, containing more than 6 GW of installed wind capacity. Nests of observational systems captured important atmospheric scales from mesoscale to NWP subgrid scale. Model improvements targeted NOAA's High-Resolution Rapid Refresh (HRRR) model to facilitate transfer of improvements to National Weather Service (NWS) operational forecast models, and these modifications have already yielded quantitative improvements for the short-term operational forecasts. This paper describes the general WFIP2 scope and objectives, the particular scientific challenges of improving wind forecasts in complex terrain, early successes of the project, and an integrated approach to archiving observations and model output. It provides an introduction for a set of more detailed BAMS papers addressing WFIP2 observational science, modeling challenges and solutions, incorporation of forecasting uncertainty into decision support tools for the wind industry, and advances in coupling improved mesoscale models to microscale models that can represent interactions between wind plants and the atmosphere.},
doi = {10.1175/BAMS-D-18-0036.1},
journal = {Bulletin of the American Meteorological Society},
number = 9,
volume = 100,
place = {United States},
year = {Fri Sep 27 00:00:00 EDT 2019},
month = {Fri Sep 27 00:00:00 EDT 2019}
}

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Cited by: 34 works
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