| An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products |
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| 作者姓名： | CHEN Jian ZHANG Ren WANG Huizan AN Yuzhu WANG Luhu WANG Gongjie |
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| 作者单位： | PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China |
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| 基金项目： | The National Natural Science Fund of China under contact No. 41276088; and the National Natural Science Fund for Young Scholars of China under contact Nos 41206002 and 41306010. |
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| 摘 要： | For the application of soil moisture and ocean salinity（SMOS） remotely sensed sea surface salinity（SSS） products,SMOS SSS global maps and error characteristics have been investigated based on quality control information.The results show that the errors of SMOS SSS products are distributed zonally,i.e.,relatively small in the tropical oceans,but much greater in the southern oceans in the Southern Hemisphere（negative bias） and along the southern,northern and some other oceanic margins（positive or negative bias）.The physical elements responsible for these errors include wind,temperature,and coastal terrain and so on.Errors in the southern oceans are due to the bias in an SSS retrieval algorithm caused by the coexisting high wind speed and low temperature; errors along the oceanic margins are due to the bias in a brightness temperature（TB） reconstruction caused by the high contrast between L-band emissivities from ice or land and from ocean; in addition,some other systematic errors are due to the bias in TB observation caused by a radio frequency interference and a radiometer receivers drift,etc.The findings will contribute to the scientific correction and appropriate application of the SMOS SSS products.
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| 关 键 词： | 海洋表面 土壤湿度 产品 盐度 遥感 无线电频率干扰 机制 体制 |
| 收稿时间： | 2012/4/28 0:00:00 |
| 修稿时间： | 2013/4/19 0:00:00 |
An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products |
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| CHEN Jian,ZHANG Ren,WANG Huizan,AN Yuzhu,WANG Luhu,WANG Gongjie.An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products[J].Acta Oceanologica Sinica,2014,33(1):48-55. |
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| Authors: | CHEN Jian ZHANG Ren WANG Huizan AN Yuzhu WANG Luhua and WANG Gongjie |
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| Institution: | PLA Key Laboratory of Marine Environment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China |
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| Abstract: | For the application of soil moisture and ocean salinity (SMOS) remotely sensed sea surface salinity (SSS) products, SMOS SSS global maps and error characteristics have been investigated based on quality control information. The results show that the errors of SMOS SSS products are distributed zonally, i.e., relatively small in the tropical oceans, butmuch greater in the southern oceans in the Southern Hemisphere (negative bias) and along the southern, northern and some other oceanic margins (positive or negative bias). The physical elements responsible for these errors include wind, temperature, and coastal terrain and so on. Errors in the southern oceans are due to the bias in an SSS retrieval algorithm caused by the coexisting high wind speed and low temperature; errors along the oceanic margins are due to the bias in a brightness temperature (TB) reconstruction caused by the high contrast between L-band emissivities fromice or land and from ocean; in addition, some other systematic errors are due to the bias in TB observation caused by a radio frequency interference and a radiometer receivers drift, etc. The findings will contribute to the scientific correction and appropriate application of the SMOS SSS products. |
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| Keywords: | soilmoisture and ocean salinity SMOS remotely sensed sea surface salinity error analysis |
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