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

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• 作者：Shenzhen Xia ; Changqing Ke ; Xiaobing Zhou ; Jie Zhang
• 关键词：Aquarius ; sea surface salinity (SSS) ; in situ SSS ; MyOcean ; comparison analysis ; southeast Indian Ocean
• 刊名：Acta Oceanologica Sinica
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：35
• 期：3
• 页码：54-62
• 全文大小：1,244 KB
• 参考文献：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 Information 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 operational ocean model data. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1688–1702CrossRef
  Boutin J, Martin N, Yin Xiaobin, et al. 2012. First assessment of SMOS data over open ocean: Part II Sea surface salinity. IEEE Transactions on Geoscience and Remote Sensing, 50(5): 1662–1675CrossRef
  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 application to sea surface salinity retrieval. IEEE Transactions on Geoscience and Remote Sensing, 42(4): 804–823CrossRef
  Chen Jian, Zhang Ren, Wang Huizan, et al. 2014. An analysis on the error structure and mechanism of soil moisture and ocean salinity remotely sensed sea surface salinity products. Acta Oceanologica Sinica, 33(1): 48–55CrossRef
  Cheng Y, Andersen O B, Knudsen P. 2012. First evaluation of MyOcean altimetric data in the Arctic Ocean. Ocean Science Discussions, 9(1): 291–314CrossRef
  Ebuchi N, Abe H. 2012. Evaluation of sea surface salinity observed by Aquarius. In: 2012IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Munich: IEEE, 5767–5769CrossRef
  Feng Shizuo, Li Fengqi, Li Shaoqing. 1999. An Introduction to Marine Science (in Chinese). Beijing: The Higher Education Press, 83–108
  Font J, Lagerloef G, Le Vine D, et al. 2003. The determination of surface salinity with SMOS-recent results and main issues. In: Proceedings 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: 277–286CrossRef
  Guinehut S, Dhomps A L, Larnicol G, et al. 2012. High resolution 3-D temperature and salinity fields derived from in situ and satellite observations. Ocean Science, 8(5): 845–857CrossRef
  Kerr Y H, Waldteufel P, Wigneron J P, et al. 2001. Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE Transactions on Geoscience and Remote Sensing, 39(8): 1729–1735CrossRef
  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): 666–68CrossRef
  Lagerloef G. 2012. Satellite mission monitors ocean surface salinity. Eos, Transacations American Geophysical Union, 93(25): 233–234CrossRef
  Lagerloef G, Colomb F R, Le Vine D, et al. 2008. The Aquarius/SAC-D Mission: Designed to meet the salinity remote-sensing challenge. Oceanography, 21(1): 68–81CrossRef
  Lerner R M, Hollinger J P. 1977. Analysis of 1.4 GHz radiometric measurements from Skylab. Remote Sensing of Environment, 6(4): 251–269CrossRef
  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): 2040–2050CrossRef
  Le Vine D M, Lagerloef G S E, Torrusio S E. 2010. Aquarius and remote sensing of sea surface salinity from space. Proceedings of the IEEE, 98(5): 688–703CrossRef
  Le Vine D M. 2011. Aquarius Instrument and Salinity Retrieval. h t t p: / / a q u a r i u s. u m a i n e. e d u / c g i / d o c u m e n t s. h t m [03–Jun–2011]
  Liang Yuqing, Liu Jinfang, Zhang Xian, et al. 2003. Temporal and spatial 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 Technology (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 scatterometer winds. Remote Sensing of Environment, 97(2): 231–237CrossRef
  Meissner T, Wentz F, Lagerloef G, et al. 2012. The Aquarius salinity retrieval algorithm. In: 2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment. Rome: IEEE, 1–3CrossRef
  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: 1–16CrossRef
  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): 719–722CrossRef
  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): 1609–1625CrossRef
  Sabia R, Camps A, Talone M, et al. 2010. Determination of the sea surface salinity error budget in the Soil Moisture and Ocean Salinity Mission. IEEE Transactions on Geoscience and Remote Sensing, 48(4): 1684–1693CrossRef
  mitt R W. 2008. Salinity and the global water cycle. Oceanography, 21(1): 12–19CrossRef
  Sharma R, Agarwal N, Momin I M, et al. 2010. Simulated sea surface salinity variability in the Tropical Indian Ocean. Journal of Climate, 23(24): 6542–6554CrossRef
  Shi Jiuxin, Lu Zhaoshi, Li Shujiang, et al. 2006. Retrieval algorithm for seawater's salinity and temperature by L and S band microwave remote sensing. Chinese High Technology Letters (in Chinese), 16(11): 1181–1184
  Wang Xinxin, Yang Jianhong, Zhao Dongzhi, et al. 2013. SMOS satellite 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 Technical Report 012208, http://​oceancolor.​gsfc.​nasa.​gov/​AQUARIUS/​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): 864–878CrossRef
  Yin Xiaobin, Liu Yuguang, Zhang Hande, et al. 2005. Microwave remote sensing of sea surface salinity—A study on microwave radiation theory of calm sea surface. Chinese High Technology Letters (in Chinese), 15(8): 86–90
  Yin Xiaobin, Liu Yuguang, Zhang Hande. 2006. Removing the impact of wind direction on remote sensing of sea surface salinity. Chinese Science Bulletin, 51(11): 1368–1373CrossRef
  Yin Xiaobin, Liu Yuguang, Zhang Hande. 2006. Removing the impact 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 feasibility for microwave remote sensing of ocean surface salinity. IEEE Transactions on Geoscience and Remote Sensing, 39(5): 1049–1060CrossRef
  Zhao Kai, Shi Jiuxin, Zhang Hande. 2008. High sensitivity airborne Lband microwave radiometer measurements of sea surface salinity. Journal of Remote Sensing (in Chinese), 12(2): 277–283
  
• 作者单位：Shenzhen Xia (1) (2) (3)
  Changqing Ke (1) (2) (3)
  Xiaobing Zhou (4)
  Jie Zhang (5)
  
  1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing University, Nanjing, 210023, China
  2. Collaborative Innovation Center of South China Sea Studies, Nanjing, 210023, China
  3. Collaborative Innovation Center of Novel Software Technology and Industrialization, Nanjing, 210023, China
  4. Department of Geophysical Engineering, Montana Tech of the University of Montana, Butte, MT, 59701, USA
  5. The First Institute of Oceanography, State Oceanic Administration, Qingdao, 266061, China
  
• 刊物主题：Oceanography; Climatology; Ecology; Engineering Fluid Dynamics; Marine & Freshwater Sciences; Environmental Chemistry;
• 出版者：Springer Berlin Heidelberg
• ISSN：1869-1099

文摘

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.