SMOS satellite salinity data accuracy assessment in the China coastal areas

WANG Xinxin; YANG Jianhong; ZHAO Dongzhi; WANG Xiang; SUN Guanglun

doi:10.3969/j.issn.0253-4193.2013.05.019

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Article Navigation > Haiyang Xuebao > 2013 > 35(5): 169-176

WANG Xinxin, YANG Jianhong, ZHAO Dongzhi, WANG Xiang, SUN Guanglun. SMOS satellite salinity data accuracy assessment in the China coastal areas[J]. Haiyang Xuebao, 2013, 35(5): 169-176. doi: 10.3969/j.issn.0253-4193.2013.05.019

Citation:

WANG Xinxin, YANG Jianhong, ZHAO Dongzhi, WANG Xiang, SUN Guanglun. SMOS satellite salinity data accuracy assessment in the China coastal areas[J]. Haiyang Xuebao, 2013, 35(5): 169-176. doi: 10.3969/j.issn.0253-4193.2013.05.019

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SMOS satellite salinity data accuracy assessment in the China coastal areas

doi: 10.3969/j.issn.0253-4193.2013.05.019

1.
College of Environmental Science and Engineering, Dalian Maritime University, Dalian 116026, China;National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China
2.
National Marine Environmental Monitoring Center, State Oceanic Administration, Dalian 116023, China

Received Date: 2012-03-13

Abstract

Abstract

The ocean salinity is a key variable to describe the ocean. Observing sea surface salinity (SSS) can promote the understanding of global water cycle. This paper main aims to carry out the accuracy assessment of SMOS satellite SSS data in the coastal waters of China. The main methods of this paper is that matching SMOS satellite L2 ocean salinity data products (V317) with the in-situ ARGO data and navigation data, evaluating SMOS satellite data using statistics method. The results show that the linear relationship of the matched data is not significant, and the RMSE of the SMOS SSS in South China Sea and East China Sea are 1.2 and 0.7 respectively. The three sets of SSS data, which are acquired applying three models in correcting the sea surface roughness are all with relatively low accuracy, especially in coastal strong wind areas,the SSS value observed by satellite is overestimated, and SMOS SSS retrieve may be seriously influenced by the sea surface roughness and land radio frequency. The RMSE of SMOS SSS data in South China Sea is higher than the East China Sea around 0.5.the degree of accuracy of salinity data using SSS1 and SSS3 are relatively high in the China seas. In further application, higher accuracy can be purchased by amending geophysical parametersand applying local improvement in China seas.
- satellite remote sensing,
- sea surface salinity,
- ARGO,
- roughness correction model,
- coastal effect

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References(22)

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