常蕊,朱蓉,周荣卫,叶冬,张晓伟,Merete Badger,Charlotte Bay Hasager. 2014. 高分辨率合成孔径雷达卫星反演风场资料在中国近海风能资源评估中的应用研究[J]. 气象学报, 72(3):606-613, doi:10.11676/qxxb2014.040
高分辨率合成孔径雷达卫星反演风场资料在中国近海风能资源评估中的应用研究
An application of high resolution SAR wind retrievals to off-shore wind resources assessment in China
投稿时间:2013-11-04  修订日期:2014-03-04
DOI:10.11676/qxxb2014.040
中文关键词:  合成孔径雷达  卫星反演海面风速  高分辨率  数值模拟  资料同化  海上风能资源评估
英文关键词:Synthetic aperture radar (SAR)  Wind retrieval  High resolution  Numerical simulation  Data assimilation  Off-shore wind resources assessment
基金项目:中丹合作计划项目“中国复杂风资源相关的风能关键技术研究(2010DFA62830)”和中丹可再生能源发展项目“卫星反演与树脂模拟技术在近海风能资源评估中的综合应用研究(104.Kina.1.MFS.4-1-2-2)”。
作者单位
常蕊 中国气象局公共气象服务中心, 北京, 100081 
朱蓉 中国气象局国家气候中心, 北京, 100081 
周荣卫 中国气象局公共气象服务中心, 北京, 100081 
叶冬 中国气象局公共气象服务中心, 北京, 100081 
张晓伟 浙江省气候中心, 杭州, 310000 
Merete Badger 丹麦科技大学风能系, 罗斯基勒, DK-4000 
Charlotte Bay Hasager 丹麦科技大学风能系, 罗斯基勒, DK-4000 
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中文摘要:
      由于海上测风非常昂贵,实地测风资料严重不足,而卫星反演海面风场资料可以有效地弥补这一缺陷,对近海风能资源评估具有至关重要的意义。近年来,欧洲太空局2002年3月发射的Envisat卫星搭载合成孔径雷达(SAR)图像产品在欧洲近海风能资源评估中得到了广泛应用。文中探讨了空间分辨率约1 km×1 km的SAR卫星反演海面风场资料应用于杭州湾近海风能资源评估的技术方法,通过杭州湾海域的实测风速与SAR卫星反演海面风速数据的对比分析发现:(1)14个实测站点中13个站的相对误差小于20%,其中7个站的相对误差小于10%,平均标准差为2.29 m/s;(2)以SAR卫星反演风速数据为基础计算的风能参数(形状参数和尺度参数)与实测数据计算结果的一致性较高;(3)将该数据同化进入WRF数值模式中,与控制试验相比,大部分检验站点的风速相关系数明显提高,标准差和相对误差也得到改善。SAR卫星反演风场资料可用于中国的近海风能资源评估。
英文摘要:
      In view of the high cost and sparse spatial resolution of the offshore meteorological observation, wind maps retrieved from the satellite synthetic aperture radar (SAR) data are valuable in offshore wind energy planning as a supplement to on site measurements, which is crucial in offshore wind resource assessment. The advanced SAR maps monitored by Envisat in 2002 have been widely used in off-shore wind resource assessment in Europe. The technical methods of off-shore wind resources assessment at Hangzhou Bay based on the near 1 km×1 km SAR wind retrieval data are investigated. Comparison of the in situ wind speeds at Hangzhou Bay and the SAR wind retrieval shows that (1) the relative errors of most off-shore observation stations (13/14) are less than 20%, of which 7 stations less than 10%, and the standard deviation is 2.29 m/s; (2) high consistency has been found on the wind energy parameters (shape parameter and scale parameter) calculated by the SAR wind retrieval and the in situ wind; (3) compared with the control experiment, when the SAR wind retrieval assimilated into the numerical model (WRF), it shows a significant improvement on the wind speed correlation coefficient at most of the observation stations and some decrease in standard deviation as well as relative error, suggesting that high resolution SAR wind retrieval is able to be applied to offshore wind resource assessment in China.
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