| 基于浮标实测数据的WindSat海洋反演产品精度分析 |
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| 引用本文： | 张雷,石汉青,杜华栋,朱恩泽,张志华,方旬.基于浮标实测数据的WindSat海洋反演产品精度分析[J].海洋学报(英文版),2016,35(1):67-78. |
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| 作者姓名： | 张雷 石汉青 杜华栋 朱恩泽 张志华 方旬 |
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| 作者单位： | 解放军理工大学 气象海洋学院, 江苏 南京211101,解放军理工大学 气象海洋学院, 江苏 南京211101,解放军理工大学 气象海洋学院, 江苏 南京211101,解放军理工大学 气象海洋学院, 江苏 南京211101,解放军理工大学 气象海洋学院, 江苏 南京211101,解放军理工大学 气象海洋学院, 江苏 南京211101 |
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| 摘 要： | To evaluate the ocean surface wind vector and the sea surface temperature obtained from Wind Sat, we compare these quantities over the time period from January 2004 to December 2013 with moored buoy measurements. The mean bias between the Wind Sat 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 Wind Sat 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 Wind Sat 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 Wind Sat 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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| 关 键 词： | WindSat 极化微波辐射计 风矢量 海表面温度 验证 |
| 收稿时间： | 2014/11/20 0:00:00 |
| 修稿时间： | 6/5/2015 12:00:00 AM |
Comparison of WindSat and buoy-measured ocean products from 2004 to 2013 |
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| ZHANG Lei,SHI Hanqing,DU Huadong,ZHU Enze,ZHANG Zhihua and FANG Xun.Comparison of WindSat and buoy-measured ocean products from 2004 to 2013[J].Acta Oceanologica Sinica,2016,35(1):67-78. |
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| Authors: | ZHANG Lei SHI Hanqing DU Huadong ZHU Enze ZHANG Zhihua and FANG Xun |
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| Institution: | Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China |
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| Abstract: | 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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| Keywords: | WindSat polarimetric microwave radiometer wind vector sea surface temperature validation |
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