A method for correcting regional bias in SMOS global salinity products

Xiaolin Tong; Zhenzhan Wang; Qingxia Li

doi:10.1007/s00343-015-4196-5

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A method for correcting regional bias in SMOS global salinity products

OriginalPaper | Updated：2023-05-16

- A method for correcting regional bias in SMOS global salinity products
- A method for correcting regional bias in SMOS global salinity products
- 海洋湖沼学报（英文） 2015年33卷第4期页码：1072-1084
- Affiliations：
  
  1. Department of Electronics and Information Engineering Huazhong University of Science and Technology
  2. Key Laboratory of Microwave Remote Sensing National Space Science Center/Center for Space Science and Applied Research Chinese Academy of Sciences
  3. School of Physics and Electronics Henan University
- Author bio：
- Funds：
  
  Supported by the National Natural Science Foundation of China (No. 41076117)
- DOI：10.1007/s00343-015-4196-5
  中图分类号：
- 网络首发：2015-01-04，
  
  纸质出版：2015
- Accepted：
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A method for correcting regional bias in SMOS global salinity products[J]. 海洋湖沼学报（英文）, 2015,33(4):1072-1084.

Tong, X., Wang, Z. & Li, Q. A method for correcting regional bias in SMOS global salinity products., Chin. J. Ocean. Limnol. 33, 1072–1084 (2015). https://doi.org/10.1007/s00343-015-4196-5
A method for correcting regional bias in SMOS global salinity products[J]. 海洋湖沼学报（英文）, 2015,33(4):1072-1084. DOI： 10.1007/s00343-015-4196-5.

Tong, X., Wang, Z. & Li, Q. A method for correcting regional bias in SMOS global salinity products., Chin. J. Ocean. Limnol. 33, 1072–1084 (2015). https://doi.org/10.1007/s00343-015-4196-5 DOI：

摘要

Abstract

Soil Moisture and Ocean Salinity (SMOS) Level 3 (L3) sea surface salinity (SSS) products are provided by the Barcelona Expert Centre (BEC). Strong biases were observed on the SMOS SSS products

thus the data from the Centre Aval de Traitement des Données SMOS (CATDS) were adjusted for biases using a large-scale correction derived from observed differences between the SMOS SSS and World Ocean Atlas (WOA) climatology data. However

this large-scale correction method is not suitable for correcting the large gradient of salinity biases. Here

we present a method for the correction of SSS regional bias of the monthly L3 products. Based on the stable characteristics of the large SSS biases from month to month in some regions

corrected SMOS SSS maps can be obtained from the monthly mean values after removing the regional biases. The accuracy of the SMOS SSS measurements is greatly improved

especially near the coastline

at high latitudes

and in some open ocean regions. The SMOS and ISAS SSS data are also compared with Aquarius SSS to verify the corrected SMOS SSS data. The correction method presented here only corrects annual mean biases. The measurement accuracy of the SSS may be improved by considering the influence of atmospheric and ocean circulation in different seasons and years.

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references

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