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Effectiveness of WRF wind direction for retrieving coastal sea surface wind from synthetic aperture radar

机译:WRF风向从合成孔径雷达反演沿海海面风的有效性

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摘要

Wind direction is required as input to the geophysical model function (GMF) for the retrieval of sea surface wind speed from synthetic aperture radar (SAR) images. The present study verifies the effectiveness of using the wind direction obtained from the weather research and forecasting model (WMF) as input to the GMF to retrieve accurate wind fields in coastal waters adjacent to complex onshore terrain. The wind speeds retrieved from 42 ENVISAT ASAR images are validated based on in situ measurements at an offshore platform in Japan. Accuracies are also compared with cases using wind directions: the meso-analysis of the Japan Meteorological Agency (MANAL), the SeaWinds microwave scatterometer on QuikSCAT and the National Center for Environmental Prediction final operational global analysis data (NCEP FNL). In comparison with the errors of the SAR-retrieved wind speeds obtained using the WRF, MANAL, QuikSCAT and NCEP FNL wind directions, the magnitudes of the errors do not appear to be correlated with the errors of the wind directions themselves. In addition to wind direction, terrain factors are considered to be a main source of error other than wind direction. Focusing on onshore winds (blowing from the sea to land), the root mean square errors on wind speed are found to be 0.75 m s~(-1) (in situ), 0.96 m s~(-1) (WRF), 1.75 m s~(-1) (MANAL), 1.58 m s~(-1) (QuikSCAT) and 2.00 m s~(-1) (NCEP FNL), respectively, but the uncertainty is of the same order of magnitude because of the low number of cases. These results indicate that although the effectiveness of using the accurate WRF wind direction for the wind retrieval is partly confirmed, further efforts to remove the error due to factors other than wind direction are necessary for more accurate wind retrieval in coastal waters.
机译:需要风向作为地球物理模型函数(GMF)的输入,以便从合成孔径雷达(SAR)图像中检索海面风速。本研究验证了使用从天气研究和预报模型(WMF)获得的风向作为GMF的输入来检索与复杂陆上地形相邻的沿海水域中准确的风场的有效性。从42个ENVISAT ASAR图像中检索到的风速是根据日本海上平台的现场测量结果进行验证的。还将精度与使用风向的情况进行比较:日本气象厅(MANAL)的细观分析,QuikSCAT上的SeaWinds微波散射仪以及国家环境预测中心最终的全球运行总体分析数据(NCEP FNL)。与使用WRF,MANAL,QuikSCAT和NCEP FNL风向获得的SAR提取风速的误差相比,误差的大小似乎与风向本身的误差无关。除了风向以外,地形因素也被认为是除风向以外的主要误差来源。着眼于陆上风(从海到陆吹),风速的均方根误差为0.75 ms〜(-1)(原位),0.96 ms〜(-1)(WRF),1.75 ms 〜(-1)(MANAL),1.58 ms〜(-1)(QuikSCAT)和2.00 ms〜(-1)(NCEP FNL),但是由于不确定的数量少,不确定性处于相同的数量级。案件。这些结果表明,尽管部分地证实了使用精确的WRF风向进行风向取回的有效性,但要在沿海水域进行更准确的风向取回,还需要进一步努力消除除风向以外的因素引起的误差。

著录项

  • 来源
    《Wind Energy》 |2013年第6期|865-878|共14页
  • 作者单位

    National Institute of Advanced Industrial Science and Technology, Central 2, Umezono 1-1-1, Tsukuba, Ibaraki, Japan;

    Graduate School of Maritime Science, Kobe University, Japan;

    Graduate School of Maritime Science, Kobe University, Japan;

    Wind Energy Department, Technical University of Denmark, Denmark;

    Wind Energy Department, Technical University of Denmark, Denmark;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    sea surface wind retrieval; synthetic aperture radar; WRF;

    机译:海面风回收;合成孔径雷达WRF;

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