| 利用海表盐度等遥感观测产品重构三维盐度场的性能评估 |
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| 引用本文： | 陈建,游小宝,肖义国,张韧,王公杰,鲍森亮.利用海表盐度等遥感观测产品重构三维盐度场的性能评估[J].海洋学报(英文版),2017,36(7):15-31. |
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| 作者姓名： | 陈建 游小宝 肖义国 张韧 王公杰 鲍森亮 |
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| 作者单位： | 北京应用气象研究所, 北京, 100029,北京应用气象研究所, 北京, 100029,北京应用气象研究所, 北京, 100029,解放军理工大学气象海洋学院, 南京, 211101,解放军理工大学气象海洋学院, 南京, 211101,解放军理工大学气象海洋学院, 南京, 211101 |
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| 基金项目： | The National Natural Science Foundation of China under contract No. 41276088. |
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| 摘 要： | Several remotely sensed sea surface salinity(SSS) retrievals with various resolutions from the soil moisture and ocean salinity(SMOS) and Aquarius/SAC-D missions are applied as inputs for retrieving salinity profiles(S) using multilinear regressions. The performance is evaluated using a total root mean square(RMS) error, different error sources, and the feature resolutions of the retrieved S fields. In the mixed layer of the salinity, the SSS-S regression coefficients are uniformly large. The SSS inputs yield smaller RMS errors in the retrieved S with respect to Argo profiles as their spatial or temporal resolution decreases. The projected SSS errors are dominant, and the retrieved S values are more accurate than those of climatology in the tropics except for the tropical Atlantic, where the regression errors are abnormally large. Below that level, because of the influence of a sea level anomaly, the areas of high-accuracy S values shift to higher latitudes except in the high-latitude southern oceans, where the projected SSS errors are abnormally large. A spectral analysis suggests that the CATDS-0.25° results are much noisier and that the BEC-L4-0.25° results are much smoother than those of the other retrievals. Aquarius-CAP-1° generates the smallest RMS errors, and Aquarius-V2-1° performs well in depicting large-scale phenomena. BEC-L3-0.25°,which has small RMS errors and remarkable mesoscale energy, is the best fit for portraying mesoscale features in the SSS and retrieved S fields. The current priority for retrieving S is to improve the reliability of satellite SSS especially at middle and high latitudes, by developing advanced algorithms, combining both sensors, or weighing between accuracy and resolutions.
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| 关 键 词： | SMOS Aquarius 海表盐度 垂直反演 特征分辨率 |
| 收稿时间： | 2016/5/6 0:00:00 |
| 修稿时间： | 2017/1/17 0:00:00 |
A performance evaluation of remotely sensed sea surface salinity products in combination with other surface measurements in reconstructing three-dimensional salinity fields |
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| CHEN Jian,YOU Xiaobao,XIAO Yiguo,ZHANG Ren,WANG Gongjie and BAO Senliang.A performance evaluation of remotely sensed sea surface salinity products in combination with other surface measurements in reconstructing three-dimensional salinity fields[J].Acta Oceanologica Sinica,2017,36(7):15-31. |
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| Authors: | CHEN Jian YOU Xiaobao XIAO Yiguo ZHANG Ren WANG Gongjie and BAO Senliang |
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| Institution: | 1.Beijing Institute of Applied Meteorology, Beijing 100029, China2.Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China |
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| Abstract: | Several remotely sensed sea surface salinity (SSS) retrievals with various resolutions from the soil moisture and ocean salinity (SMOS) and Aquarius/SAC-D missions are applied as inputs for retrieving salinity profiles (S) using multilinear regressions. The performance is evaluated using a total root mean square (RMS) error, different error sources, and the feature resolutions of the retrieved S fields. In the mixed layer of the salinity, the SSS-S regression coefficients are uniformly large. The SSS inputs yield smaller RMS errors in the retrieved S with respect to Argo profiles as their spatial or temporal resolution decreases. The projected SSS errors are dominant, and the retrieved S values are more accurate than those of climatology in the tropics except for the tropical Atlantic, where the regression errors are abnormally large. Below that level, because of the influence of a sea level anomaly, the areas of high-accuracy S values shift to higher latitudes except in the high-latitude southern oceans, where the projected SSS errors are abnormally large. A spectral analysis suggests that the CATDS-0.25° results are much noisier and that the BEC-L4-0.25° results are much smoother than those of the other retrievals. Aquarius-CAP-1° generates the smallest RMS errors, and Aquarius-V2-1° performs well in depicting large-scale phenomena. BEC-L3-0.25°, which has small RMS errors and remarkable mesoscale energy, is the best fit for portraying mesoscale features in the SSS and retrieved S fields. The current priority for retrieving S is to improve the reliability of satellite SSS especially at middle and high latitudes, by developing advanced algorithms, combining both sensors, or weighing between accuracy and resolutions. |
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| Keywords: | soil moisture and ocean salinity Aquarius sea surface salinity vertical retrieval feature resolution |
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