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首页> 外文期刊>Geoscience and Remote Sensing Letters, IEEE >Assessment of Satellite-Derived Sea Surface Salinity in the Indian Ocean
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Assessment of Satellite-Derived Sea Surface Salinity in the Indian Ocean

机译：印度洋人造卫星海表盐度评估

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The study has been motivated by the desire to assess the performance of sea surface salinity (SSS) from the Soil Moisture and Ocean Salinity (SMOS) satellite launched by the European Space Agency. Daily Level 3 product on a $0.25^{circ} times 0.25^{circ}$ grid for the year 2010 has been used for this assessment in the Indian Ocean. Various data sets, like the in situ data sets available from the Research Moored Array for African–Asian–Australian Monsoon Analysis and Prediction (RAMA) buoys and Argo floats and also the data sets from modular ocean model version 3 simulations, have been utilized for this purpose. Comparison made at two buoy locations suggests good quality of SMOS SSS with root-mean-square error of the order of 0.36 and 0.34 psu. The triple collocation method, which explicitly takes into account the error characteristics of the SMOS, Argo, and model data sets, has been used for further validation of the SMOS data. Since the Indian Ocean exhibits characteristically different patterns of SSS in its different subregions, the study area has been divided into different such subregions. The SMOS-derived SSS appears to be of very good quality in the equatorial Indian Ocean and southern Indian Ocean, while the data are of poorer quality in the Arabian Sea and the Bay of Bengal possibly because of the errors in SSS retrieval due to the land contamination and strong winds.
机译：这项研究的动机是希望评估欧洲航天局发射的土壤水分和海洋盐度（SMOS）卫星的海表盐度（SSS）的性能。在印度洋，已将2010年的$ 0.25 ^ {circ} $ 0.25 ^ {circ} $网格上的每日3级产品用于此评估。各种数据集，例如可用于非洲-亚洲-澳大利亚季风分析和预测（RAMA）浮标和Argo浮标的研究系泊阵列提供的原位数据集，以及来自模块化海洋模型版本3模拟的数据集，都已用于这个目的。在两个浮标位置进行的比较表明，SMOS SSS的质量很好，均方根误差约为0.36和0.34 psu。三重配置方法（已明确考虑了SMOS，Argo和模型数据集的错误特征）已用于SMOS数据的进一步验证。由于印度洋在其不同的次区域表现出不同的SSS模式，因此研究区域已被划分为不同的次区域。 SMOS派生的SSS在赤道印度洋和印度洋南部似乎质量很好，而阿拉伯海和孟加拉湾的数据质量较差，可能是由于陆地的SSS检索错误污染和强风。

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