Evaluation of Blended Wind Products and Their Implications for Offshore Wind Power Estimation

被引:1
|
作者
Wang, Xiaochun [1 ]
Lee, Tong [2 ]
Mears, Carl [3 ]
机构
[1] Univ Calif Los Angeles, Joint Inst Reg Earth Syst Sci & Engn, Los Angeles, CA 90095 USA
[2] CALTECH, Jet Prop Lab, Pasadena, CA 91109 USA
[3] Remote Sensing Syst, Santa Rosa, CA 95401 USA
基金
美国国家航空航天局;
关键词
Cross-Calibrated Multi-Platform Wind Analysis; offshore wind power; wind power density; neutral wind; U; S; coastal region; Arctic Oscillation; Pacific Decadal Oscillation; SURFACE CURRENTS; DISTRIBUTIONS;
D O I
10.3390/rs15102620
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Cross-Calibrated Multi-Platform (CCMP) wind analysis is a satellite-based blended wind product produced using a two-dimensional variational method. The current version available publicly is Version 2 (CCMP2.0), which includes buoy winds in addition to satellite winds. Version 3 of the product (CCMP3.0) is being produced with several improvements in analysis algorithms, without including buoy winds. Here, we compare CCMP3.0 with a special version of CCMP2.0 that did not include buoy winds, so both versions are independent of buoy measurements. We evaluate them using wind data from buoys around the coasts of the United States and discuss the implications for the wind power industry and offshore wind farms. CCMP2.0 uses ERA-Interim 10 m winds as the background to fill observational gaps. CCMP3.0 uses ERA5 10 m neutral winds as the background. Because ERA5 winds are biased towards lower values at higher wind conditions, CCMP3.0 corrected this bias by matching ERA5 wind speeds with satellite scatterometer wind speeds using a histogram matching method. Our evaluation indicates that CCMP3.0 has better agreement with the independent buoy winds, primarily for higher winds (>10 m/s). This is reflected by the higher correlation and lower root-mean-squared differences of CCMP3.0 versus buoy winds, especially for higher wind conditions. For the U.S. coastal region (within 200 km), the mean wind speed of CCMP3.0 is enhanced by 1-2%, and the wind speed standard deviation is enhanced by around 3-5%. These changes in wind speed and its standard deviation from CCMP2.0 to CCMP3.0 cause an 8-12% increase in wind power density. The wind power density along the U.S. coastal region is also correlated with various climate indices depending on locations, providing a useful approach for predicting wind power on subseasonal to interannual timescales.
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页数:13
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