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Improving Wind Predictions in the Marine Atmospheric Boundary Layer through Parameter Estimation in a Single-Column Model

Journal Article · · Monthly Weather Review
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A current barrier to greater deployment of offshore wind turbines is the poor quality of numerical weather prediction model wind and turbulence forecasts over open ocean. The bulk of development for atmospheric boundary layer (ABL) parameterization schemes has focused on land, partly due to a scarcity of observations over ocean. The 100-m FINO1 tower in the North Sea is one of the few sources worldwide of atmospheric profile observations from the sea surface to turbine hub height. These observations are crucial to developing a better understanding and modeling of physical processes in the marine ABL. In this study, we use the WRF single column model (SCM), coupled with an ensemble Kalman filter from the Data Assimilation Research Testbed (DART), to create 100-member ensembles at the FINO1 location. The goal of this study is to determine the extent to which model parameter estimation can improve offshore wind forecasts.
Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind and Water Technologies Office (EE-4W)
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1337008
Report Number(s):
NREL/JA--5000-65640
Journal Information:
Monthly Weather Review, Journal Name: Monthly Weather Review Journal Issue: 1 Vol. 145; ISSN 0027-0644
Publisher:
American Meteorological Society
Country of Publication:
United States
Language:
English

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Related Subjects

17 WIND ENERGY
atmospheric boundary layer
forecasting
offshore wind
weather
wind energy