Assessment and adjustment of sea surface salinity products from Aquarius in the southeast Indian Ocean based on <i>in situ</i> measurement and MyOcean modeled data

XIA Shenzhen; KE Changqing; ZHOU Xiaobing; ZHANG Jie

doi:10.1007/s13131-016-0818-9

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Article Navigation > Acta Oceanologica Sinica > 2016 > 35(3): 54-62

XIA Shenzhen, KE Changqing, ZHOU Xiaobing, ZHANG Jie. Assessment and adjustment of sea surface salinity products from Aquarius in the southeast Indian Ocean based on in situ measurement and MyOcean modeled data[J]. Acta Oceanologica Sinica, 2016, 35(3): 54-62. doi: 10.1007/s13131-016-0818-9

Citation:

XIA Shenzhen, KE Changqing, ZHOU Xiaobing, ZHANG Jie. Assessment and adjustment of sea surface salinity products from Aquarius in the southeast Indian Ocean based on in situ measurement and MyOcean modeled data[J]. Acta Oceanologica Sinica, 2016, 35(3): 54-62. doi: 10.1007/s13131-016-0818-9

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Assessment and adjustment of sea surface salinity products from Aquarius in the southeast Indian Ocean based on in situ measurement and MyOcean modeled data

doi: 10.1007/s13131-016-0818-9

1.
Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing 210023, China;Collaborative Innovation Center of South China Sea Studies, Nanjing 210023, China;Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing 210023, China
2.
Department of Geophysical Engineering, Montana Tech of the University of Montana, Butte, MT 59701, USA
3.
The First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China

Received Date: 2015-01-24
Rev Recd Date: 2015-05-05

Abstract

Abstract

The in situ sea surface salinity (SSS) measurements from a scientific cruise to the western zone of the southeast Indian Ocean covering 30°-60°S, 80°-120°E are used to assess the SSS retrieved from Aquarius (Aquarius SSS). Wind speed and sea surface temperature (SST) affect the SSS estimates based on passive microwave radiation within the mid-to low-latitude southeast Indian Ocean. The relationships among the in situ, Aquarius SSS and wind-SST corrections are used to adjust the Aquarius SSS. The adjusted Aquarius SSS are compared with the SSS data from MyOcean model. Results show that:(1) Before adjustment:compared with MyOcean SSS, the Aquarius SSS in most of the sea areas is higher; but lower in the low-temperature sea areas located at the south of 55°S and west of 98°E. The Aquarius SSS is generally higher by 0.42 on average for the southeast Indian Ocean. (2) After adjustment:the adjustment greatly counteracts the impact of high wind speeds and improves the overall accuracy of the retrieved salinity (the mean absolute error of the Zonal mean is improved by 0.06, and the mean error is -0.05 compared with MyOcean SSS). Near the latitude 42°S, the adjusted SSS is well consistent with the MyOcean and the difference is approximately 0.004.
- Aquarius,
- sea surface salinity (SSS),
- in situ SSS,
- MyOcean,
- comparison analysis

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References(40)

References

Bahurel P, Adragna F, Bell M J, et al. 2010. Ocean Monitoring and Forecasting Core Services:The European MyOcean Example. In:Hall J, Harrison D E, Stammer, D, Eds. Proceedings of OCEANOBS'09 Sustained Ocean Observations and Informa-tion for Society. Venice, Italy:ESA Publication WPP-306, 2-11

Banks C J, Gommenginger C P, Srokosz M A, et al. 2012. Validating SMOS ocean surface salinity in the Atlantic with Argo and oper-ational ocean model data. IEEE Transactions on Geoscience and Remote Sensing, 50(5):1688-1702

Boutin J, Martin N, Yin Xiaobin, et al. 2012. First assessment of SMOS data over open ocean:Part Ⅱ Sea surface salinity. IEEE Transac-tions on Geoscience and Remote Sensing, 50(5):1662-1675

Camps A, Font J, Vall-llossera M, et al. 2004. The WISE 2000 and 2001 field experiments in support of the SMOS Mission:Sea surface L-Band brightness temperature observations and their applica-tion to sea surface salinity retrieval. IEEE Transactions on Geoscience and Remote Sensing, 42(4):804-823

Chen Jian, Zhang Ren, Wang Huizan, et al. 2014. An analysis on the error structure and mechanism of soil moisture and ocean sa-linity remotely sensed sea surface salinity products. Acta Oceanologica Sinica, 33(1):48-55

Cheng Y, Andersen O B, Knudsen P. 2012. First evaluation of MyOcean altimetric data in the Arctic Ocean. Ocean Science Discussions, 9(1):291-314

Ebuchi N, Abe H. 2012. Evaluation of sea surface salinity observed by Aquarius. In:2012IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich:IEEE, 5767-5769

Feng Shizuo, Li Fengqi, Li Shaoqing. 1999. An Introduction to Mar-ine Science (in Chinese). Beijing:The Higher Education Press, 83-108

Font J, Lagerloef G, Le Vine D, et al. 2003. The determination of sur-face salinity with SMOS-recent results and main issues. In:Pro-ceedings of 2003 IEEE International Geoscience and Remote Sensing Symposium (IGARSS'03). Toulouse, France:IEEE, 7-9

Glejin J, Kumar V S, Nair T M B. 2013. Monsoon and cyclone induced wave climate over the near shore waters off Puduchery, south western Bay of Bengal. Ocean Engineering, 72:277-286

Guinehut S, Dhomps A L, Larnicol G, et al. 2012. High resolution 3-D temperature and salinity fields derived from in situ and satel-lite observations. Ocean Science, 8(5):845-857

Kerr Y H, Waldteufel P, Wigneron J P, et al. 2001. Soil moisture re-trieval from space:The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Transactions on Geoscience and Re-mote Sensing, 39(8):1729-1735

Kerr Y H, Waldteufel P, Wigneron J P, et al. 2010. The SMOS Mission:New tool for monitoring key elements of the global water cycle. Proceedings of the IEEE, 98(5):666-68

Lagerloef G. 2012. Satellite mission monitors ocean surface salinity. Eos, Transacations American Geophysical Union, 93(25):233-234

Lagerloef G, Colomb F R, Le Vine D, et al. 2008. The Aquarius/SAC-D Mission:Designed to meet the salinity remote-sensing chal-lenge. Oceanography, 21(1):68-81

Lerner R M, Hollinger J P. 1977. Analysis of 1.4 GHz radiometric measurements from Skylab. Remote Sensing of Environment, 6(4):251-269

Le Vine D M, Lagerloef G S E, Colomb F R, et al. 2007. Aquarius:An instrument to monitor sea surface salinity from space. IEEE Transactions on Geoscience and Remote Sensing, 45(7):2040-2050

Le Vine D M, Lagerloef G S E, Torrusio S E. 2010. Aquarius and re-mote sensing of sea surface salinity from space. Proceedings of the IEEE, 98(5):688-703

Le Vine D M. 2011. Aquarius Instrument and Salinity Retrieval. http://aquarius.umaine.edu/cgi/documents.htm[03-Jun-2011]

Liang Yuqing, Liu Jinfang, Zhang Xian, et al. 2003. Temporal and spa-tial characteristics of South Indian Ocean wind field. Marine Forecasts (in Chinese), 20(1):25-31

Lu Zhaoshi, Shi Jiuxin, Jiao Yutian, et al. 2006. Experimental study of microwave remote sensing of sea surface salinity. Ocean Tech-nology (in Chinese), 25(3):70-75, 89

Luis A J, Pandey P C. 2005. Characteristics of atmospheric divergence and convergence in the Indian Ocean inferred from scattero-meter winds. Remote Sensing of Environment, 97(2):231-237

Meissner T, Wentz F, Lagerloef G, et al. 2012. The Aquarius salinity retrieval algorithm. In:2012 12th Specialist Meeting on Mi-crowave Radiometry and Remote Sensing of the Environment. Rome:IEEE, 1-3

Nardelli B B, Tronconi C, Pisano A, et al. 2013. High and Ultra-High resolution processing of satellite Sea Surface Temperature data over Southern European Seas in the framework of MyOcean project. Remote Sensing of Environment, 129:1-16

Ratheesh S, Sharma R, Sikhakolli R, et al. 2014. Assessing sea surface salinity derived by Aquarius in the Indian Ocean. IEEE Geoscience and Remote Sensing Letters, 11(4):719-722

Reagan J, Boyer T, Antonov J. 2013. Comparison analysis between Aquarius sea surface salinity and world ocean database in situ analyzed sea surface salinity.http://aquarius.umeoce.maine.edu/docs/aqsci2013_reagan.pdf[2013-11]

Reagan J, Boyer T, Antonov J. 2014. Comparison analysis between Aquarius sea surface salinity and World Ocean Database in situ analyzed sea surface salinity. Journal of Geophysical Research:Oceans, 119(11):8122-8140

Reynolds R W, Rayner N A, Smith T M, et al. 2002. An improved in situ and satellite SST analysis for climate. Journal of Climate, 15(13):1609-1625

Sabia R, Camps A, Talone M, et al. 2010. Determination of the sea surface salinity error budget in the Soil Moisture and Ocean Sa-linity Mission. IEEE Transactions on Geoscience and Remote Sensing, 48(4):1684-1693

mitt R W. 2008. Salinity and the global water cycle. Oceanography, 21(1):12-19

Sharma R, Agarwal N, Momin I M, et al. 2010. Simulated sea surface salinity variability in the Tropical Indian Ocean. Journal of Cli-mate, 23(24):6542-6554

Shi Jiuxin, Lu Zhaoshi, Li Shujiang, et al. 2006. Retrieval algorithm for seawater's salinity and temperature by L and S band mi-crowave remote sensing. Chinese High Technology Letters (in Chinese), 16(11):1181-1184

Wang Xinxin, Yang Jianhong, Zhao Dongzhi, et al. 2013. SMOS satel-lite salinity data accuracy assessment in the China coastal areas. Haiyang Xuebao (in Chinese), 35(5):169-176

Wentz F J, Le Vine D. 2008. Algorithm theoretical basis document Aquarius level-2 radiometer algorithm:Revision 1. RSS Tech-nical Report 012208, http://oceancolor.gsfc.nasa.gov/AQUARI-US/DOCS/Level2_salinity_atbd_rev1.pdf

Xie Shangping, Annamalai H, Schott F A, et al. 2002. Structure and mechanisms of South Indian Ocean climate variability. Journal of Climate, 15(8):864-878

Yin Xiaobin, Liu Yuguang, Zhang Hande, et al. 2005. Microwave re-mote sensing of sea surface salinity-A study on microwave ra-diation theory of calm sea surface. Chinese High Technology Letters (in Chinese), 15(8):86-90

Yin Xiaobin, Liu Yuguang, Zhang Hande. 2006a. Removing the im-pact of wind direction on remote sensing of sea surface salinity. Chinese Science Bulletin, 51(11):1368-1373

Yin Xiaobin, Liu Yuguang, Zhang Hande. 2006b. Removing the im-pact of wind direction on remote sensing of sea surface salinity. Chinese Science Bulletin (in Chinese), 51(3):349-354

Yueh S H, West R, Wilson W J, et al. 2001. Error sources and feasibil-ity for microwave remote sensing of ocean surface salinity. IEEE Transactions on Geoscience and Remote Sensing, 39(5):1049-1060

Zhao Kai, Shi Jiuxin, Zhang Hande. 2008. High sensitivity airborne L-band microwave radiometer measurements of sea surface sa-linity. Journal of Remote Sensing (in Chinese), 12(2):277-283

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