Bias estimation and assessment of satellite sea surface salinity gridded products based on <em>in situ</em> salinity measurements

Bao Senliang; Zhang Ren; Wang Huizan; Wang Gongjie; Zhang Ming

doi:10.3969/j.issn.0253-4193.2016.05.004

Article Contents

Article Navigation > Haiyang Xuebao > 2016 > 38(5): 34-45

Bao Senliang, Zhang Ren, Wang Huizan, Wang Gongjie, Zhang Ming. Bias estimation and assessment of satellite sea surface salinity gridded products based on in situ salinity measurements[J]. Haiyang Xuebao, 2016, 38(5): 34-45. doi: 10.3969/j.issn.0253-4193.2016.05.004

Citation:

Bao Senliang, Zhang Ren, Wang Huizan, Wang Gongjie, Zhang Ming. Bias estimation and assessment of satellite sea surface salinity gridded products based on in situ salinity measurements[J]. Haiyang Xuebao, 2016, 38(5): 34-45. doi: 10.3969/j.issn.0253-4193.2016.05.004

Citation:

PDF( 10872 KB)

Bias estimation and assessment of satellite sea surface salinity gridded products based on in situ salinity measurements

doi: 10.3969/j.issn.0253-4193.2016.05.004

1.
Institute of Meteorology and Oceanography, PLA University of Science &Technology, Nanjing 211101, China
2.
Institute of Meteorology and Oceanography, PLA University of Science &Technology, Nanjing 211101, China;Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science & Technology, Nanjing 210044, China
3.
Institute of Meteorology and Oceanography, PLA University of Science &Technology, Nanjing 211101, China;State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, State Oceanic Administration, Hangzhou 310012, China

Received Date: 2015-10-21

Abstract

Abstract

With the launch of the Soil Moisture and Ocean Salinity (SMOS) and American Aquarius, different sea surface salinity (SSS) gridded products have been developed by several institutions, including SMOS Locean L3 data released by the Centre Aval de Traitement des Données SMOS (CATDS) in France, SMOS BEC L4 data released by the Barcelona Expert Centre (BEC) in Spain and Aquarius V3.0 CAP L3 data released by NASA Jet Propulsion Laboratory(JPL). Based on in situ salinity measurements, this paper assesses the performances of three satellite products on their accuracy and ability to depict ocean phenomena. The results show as follows: (1) In terms of accuracy of products, Aquarius CAP data are of best quality and have stable and low mean bias and RMSE, which have reached the design accuracy in some regions. The deviation of SMOS products is less stable, becoming abnormal in some months. SMOS products data are of relatively high quality in open ocean and low latitudes, but there are great errors in high latitudes, which needs further improvement. (2) The study of depicting physical phenomena shows that Aquarius data perform best in depicting the eastern edge of warm pool salinity front, SMOS BEC data take second place. SMOS Locean data are full of noise in the tropical Pacific, and describe the physical phenomena in poor performance.
- satellite salinity,
- SMOS,
- Aquarius,
- assessment,
- bias estimate

FullText(HTML)

References(13)

References

Köhler J, Sena Martins M, Serra N, et al. Quality assessment of spaceborne sea surface salinity observations over the northern North Atlantic[J]. Journal of Geophysical Research: Oceans, 2015, 120(1): 94-112.

Yin X, Boutin J, Reverdin G, et al. SMOS sea surface salinity signals of tropical instability waves[J]. Journal of Geophysical Research: Oceans, 2014, 119(11): 7811-7826.

Maes C, Reul N, Behringer D, et al. The salinity signature of the equatorial Pacific cold tongue as revealed by the satellite SMOS mission[J]. Geoscience Letters, 2014, 1(1): 1-7.

张海峰. 全球变暖背景下基于SMOS卫星和Argo数据的温盐模态结构的垂直变化研究[D]. 青岛:中国海洋大学, 2014. Zhang Haifeng. Vertical Changes of Sea Temperature and Salinity Modals Based On SMOS and Argo Data under Global Warming[D]. Qingdao: Ocean University of China,2014.

王新新, 杨建洪, 赵冬至, 等. SMOS卫星盐度数据在中国近岸海域的准确度评估[J]. 海洋学报, 2013, 35(5):169-176. Wang Xinxin, YangJianhong, Zhao Dongzhi, et al. SMOS satellite salinity data accuracy assessment in the China coastal areas[J]. Haiyang Xuebao, 2013, 35(5): 169-176.

Chen J, Zhang R, Wang H, et al. An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products[J]. Acta Oceanologica Sinica, 2014, 33(1): 48-55.

Drucker R, Riser S C. Validation of Aquarius sea surface salinity with Argo: Analysis of error due to depth of measurement and vertical salinity stratification[J]. Journal of Geophysical Research: Oceans, 2014, 119(7): 4626-4637.

Hernandez O, Boutin J, Kolodziejczyk N, et al. SMOS salinity in the subtropical North Atlantic salinity maximum: 1. Comparison with Aquarius and in situ salinity[J]. Journal of Geophysical Research: Oceans, 2014, 119(12): 8878-8896.

Boutin J, Martin N, Reverdin G, et al. Sea surface freshening inferred from SMOS and Argo salinity: Impact of rain[J]. Ocean Sci, 2013, 9(1): 183-192.

Tang W, Yueh S H, Fore A G, et al. Validation of Aquarius sea surface salinity with in situ measurements from Argo floats and moored buoys[J]. Journal of Geophysical Research: Oceans, 2014, 119(9): 6171-6189.

Good S A, Martin M J, Rayner N A. EN4: quality controlled ocean temperature and salinity profiles and monthly objective analyses with uncertainty estimates[J]. Journal of Geophysical Research: Oceans, 2013, 118(12): 6704-6716.

王进, 张杰, 王晶. 基于Argo浮标数据的星载微波辐射计Aquarius数据产品质量评估[J]. 海洋学报, 2015, 37(3): 46-53. Wang Jin, Zhang Jie, Wang Jing. Quality assessment of spaceborne microwave radiometer Aquarius data product based on Argo buoy data[J]. Haiyang Xuebao, 2015, 37(3): 46-53.

Chen J, Zhang R, Wang H, et al. Isolation of sea surface salinity maps on various timescales in the tropical Pacific Ocean[J]. Journal of oceanography, 2012, 68(5): 687-701.

Relative Articles

Supplements(0)

Cited By

Proportional views