Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)

Performance evaluation of SMOS sea surface salinity observations in retrieving salinity profiles

Authors
Chen Jian, Zhang Ren, Wang Luhua, Wang Gongjie
Corresponding Author
Chen Jian
Available Online August 2013.
DOI
10.2991/rsete.2013.164How to use a DOI?
Keywords
SMOS, sea surface salinity, salinity retrieval, performance evaluation, spatial resolution
Abstract

The Soil Moisture and Ocean Salinity (SMOS) remotely sensed sea surface salinity (SSS) observations, on a global scale and with various resolutions, have been applied as inputs in three representative retrieval techniques. The purpose is to evaluate the SSS observations’ performance, concerning the accuracy of the salinity (S) profiles they retrieve, the spatial scales they can effectively resolve, and the way their errors are projected at depth. The SMOS SSS errors are small in the tropics and large in the extratropics. The spatial resolution, rather than temporal one, is an important factor for the accuracy of retrieved S. In the upper ~ 100 m mixed layer, on average, the root mean square (rms) of retrieved S is larger than, equivalent to, or smaller than the signal rms, with a SSS resolution of 1/4°, 1/2°, 1°, respectively, in the tropics, and always larger elsewhere. This can be explained by the SSS-S regression coefficients, which are uniformly large in the mixed layer and thus project vertically most of the surface error features. Meanwhile, the projection generally reduces the mesoscale structures in the 1/4° SSS fields. Below the mixed layer, mainly influenced by the sea level anomaly instead, the regions with high-accuracy retrieved S displace to higher latitudes. The SSS error patterns disappear, except in the southern oceans where the abnormally large SSS-S regression coefficients project SSS errors down to 400 ~ 500 m.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/rsete.2013.164
ISSN
1951-6851
DOI
10.2991/rsete.2013.164How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chen Jian
AU  - Zhang Ren
AU  - Wang Luhua
AU  - Wang Gongjie
PY  - 2013/08
DA  - 2013/08
TI  - Performance evaluation of SMOS sea surface salinity observations in retrieving salinity profiles
BT  - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013)
PB  - Atlantis Press
SP  - 675
EP  - 678
SN  - 1951-6851
UR  - https://doi.org/10.2991/rsete.2013.164
DO  - 10.2991/rsete.2013.164
ID  - Jian2013/08
ER  -