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ZHANG Lei,SHI Hanqing,DU Huadong,ZHU Enze,ZHANG Zhihua,FANG Xun.Comparison of WindSat and buoy-measured ocean products from 2004 to 2013[J].Acta Oceanologica Sinica,2016,35(1):67-78
基于浮标实测数据的WindSat海洋反演产品精度分析
Comparison of WindSat and buoy-measured ocean products from 2004 to 2013
投稿时间:2014-11-20  修订日期:2015-06-05
DOI:10.1007/s13131-016-0798-9
中文关键词:  WindSat  极化微波辐射计  风矢量  海表面温度  验证
英文关键词:WindSat  polarimetric microwave radiometer  wind vector  sea surface temperature  validation
基金项目:
作者单位E-mail
张雷 解放军理工大学 气象海洋学院, 江苏 南京211101  
石汉青 解放军理工大学 气象海洋学院, 江苏 南京211101  
杜华栋 解放军理工大学 气象海洋学院, 江苏 南京211101 huadong.du@gmail.com 
朱恩泽 解放军理工大学 气象海洋学院, 江苏 南京211101  
张志华 解放军理工大学 气象海洋学院, 江苏 南京211101  
方旬 解放军理工大学 气象海洋学院, 江苏 南京211101  
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中文摘要:
      基于海上浮标实测数据,本文对2004年1月到2013年12月的全极化微波辐射计WindSat海面风矢量和海表面温度产品数据进行了评估。对于WindSat的WSPD_LF风速产品,不同研究区域(包括热带太平洋、热带印度洋、热带大西洋及美国沿岸地区)的风速反演误差变化范围为从-0.07 m/s 到0.08 m/s,整体的均方根误差为0.98 m/s,不同研究区域的风速反演均方根误差变化范围为从-0.82 m/s到 1.16 m/s;总体上,位于开阔热带洋面上的风速反演结果优于美国沿岸区域的反演结果。WSPD_LF风速的反演精度优于WSPD_MF的结果。基于WindSat亮温数据反演得到的其它地球物理参数,如水汽含量、云中液态水含量和海表面温度,在一定程度上影响着WindSat反演的风速精度。对于WindSat风向反演结果,当风速大于6 m/s时,其风向反演的均方根误差为19.59;研究区域内,平均偏差变化范围为从-0.46 到 1.19。对于海表面温度反演结果,热带太平洋区域的反演结果与浮标测量结果具有较好的一致性,均方根偏差为0.36,整体上,低纬度区域的海表面温度反演精度优于中高纬度的反演精度。
英文摘要:
      To evaluate the ocean surface wind vector and the sea surface temperature obtained from WindSat, we compare these quantities over the time period from January 2004 to December 2013 with moored buoy measurements. The mean bias between the WindSat wind speed and the buoy wind speed is low for the low frequency wind speed product (WSPD_LF), ranging from -0.07 to 0.08 m/s in different selected areas. The overall RMS error is 0.98 m/s for WSPD_LF, ranging from 0.82 to 1.16 m/s in different selected regions. The wind speed retrieval result in the tropical Ocean is better than that of the coastal and offshore waters of the United States. In addition, the wind speed retrieval accuracy of WSPD_LF is better than that of the medium frequency wind speed product. The crosstalk analysis indicates that the WindSat wind speed retrieval contains some cross influences from the other geophysical parameters, such as sea surface temperature, water vapor and cloud liquid water. The mean bias between the WindSat wind direction and the buoy wind direction ranges from -0.46° to 1.19° in different selected regions. The overall RMS error is 19.59° when the wind speed is greater than 6 m/s. Measurements of the tropical ocean region have a better accuracy than those of the US west and east coasts. Very good agreement is obtained between sea surface temperatures of WindSat and buoy measurements in the tropical Pacific Ocean; the overall RMS error is only 0.36°C, and the retrieval accuracy of the low latitudes is better than that of the middle and high latitudes.
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