海表盐度资料同化研究进展-海洋预报

海表盐度资料同化研究进展

单位：1. 国家海洋环境预报中心国家海洋局海洋灾害预报技术研究重点实验室, 北京 100081;
2. 中国科学院大气物理研究所国际气候与环境科学中心, 北京 100029;
3 中国科学院大学, 北京 100049

分类号：P731.12

出版年·卷·期（页码）：2019·36·第四期（76-82）

摘要：

对海表盐度资料同化的研究进展进行了较为全面的回顾，分别对不同时期的海表盐度资料质量和同化方法进行对比分析，并对未来海表盐度资料同化的研究重点和发展趋势给予展望。

This paper reviews the research progress of Sea Surface Salinity (SSS) data assimilation, analyzes the quality of SSS observations and data assimilation methods in different periods, and looks forward to the research key areas and development trend of SSS data assimilation in the future.

参考文献：

[1] Ricci S, Weaver A T, Vialard J, et al. Incorporating State-dependent temperature-salinity constraints in the background error covariance of variational ocean data assimilation[J]. Monthly Weather Review, 2005, 133(1):317-338.
[2] Cooper N S. The effect of salinity on tropical ocean models[J]. Journal of Physical Oceanography, 1988, 18(5):697-707.
[3] Lagerloef G S E. Introduction to the special section:the role of surface salinity on upper ocean dynamics, air-sea interaction and climate[J]. Journal of Geophysical Research:Oceans, 2002, 107(C12):8000.
[4] Terray L, Corre L, Cravatte S, et al. Near-surface salinity as nature's rain gauge to detect human influence on the tropical water cycle[J]. Journal of Climate, 2012, 25(3):958-977.
[5] Chen X Y, Tung K K. Varying planetary heat sink led to globalwarming slowdown and acceleration[J]. Science, 2014, 345(6199):897-903.
[6] Maes C, Picaut J, Belamari S. Salinity barrier layer and onset of El Niño in a Pacific coupled model[J]. Geophysical Research Letters, 2002, 29(24):2206.
[7] Bosc C, Delcroix T, Maes C. Barrier layer variability in the western Pacific warm pool from 2000 to 2007[J]. Journal of Geophysical Research:Oceans, 2009, 114(C6):C06023.
[8] Hackert E, Ballabrera-Poy J, Busalacchi A, et al. Impact of sea surface salinity assimilation on coupled forecasts in the tropical Pacific[J]. Journal of Geophysical Research:Oceans, 2011, 116(C5):C05009.
[9] Hackert E, Busalacchi A J, Ballabrera-Poy J. Impact of Aquarius sea surface salinity observations on coupled forecasts for the tropical Indo-Pacific Ocean[J]. Journal of Geophysical Research:Oceans, 2014, 119(7):4045-4067.
[10] 乔方利, Zhang S Q. 现代海洋/大气资料同化方法的统一性及其应用进展[J]. 海洋科学进展, 2002, 20(4):79-93.
[11] 李宏, 许建平. 资料同化技术的发展及其在海洋科学中的应用[J]. 海洋通报, 2011, 30(4):463-472.
[12] 王辉, 万莉颖, 秦英豪, 等. 中国全球业务化海洋学预报系统的发展和应用[J]. 地球科学进展, 2016, 31(10):1090-1104.
[13] 刘娜, 王辉, 凌铁军, 等. 全球业务化海洋预报进展与展望[J]. 地球科学进展, 2018, 33(2):131-140.
[14] 沈浙奇, 唐佑民, 高艳秋. 集合资料同化方法的理论框架及其在海洋资料同化的研究展望[J]. 海洋学报, 2016, 38(3):1-14.
[15] Bingham F M, Howden S D, Koblinsky C J. Sea surface salinity measurements in the historical database[J]. Journal of Geophysical Research:Oceans, 2002, 107(C12):8019.
[16] Koblinsky C J, Hildebrand P, LeVine D, et al. Sea surface salinity from space:science goals and measurement approach[J]. Radio Science, 2003, 38(4):8064.
[17] McMullan K D, Brown M A, Martin-Neira M, et al. SMOS:the payload[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(3):594-605.
[18] Martín-Neira M, Oliva R, Corbella I, et al. SMOS instrument performance and calibration[J]. Remote Sensing of Environment, 2016, 180:19-39.
[19] Wentz F J, LeVine D. Algorithm theoretical basis document:Aquarius level-2 radiometer algorithm:revision 1[R]. RSS Technical Report 012208. RSS, 2008:1-14.
[20] Lagerloef G, Colomb F R, Le Vine D, et al. The aquarius/SAC-D mission:designed to meet the salinity remote-sensing challenge[J]. Oceanography, 2008, 21(1):68-81.
[21] Piepmeier J R, Focardi P, Horgan K A, et al. SMAP L-band microwave radiometer:instrument design and first year on orbit[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(4):1954-1966.
[22] Burgin M S, Colliander A, Njoku E G, et al. A comparative study of the SMAP passive soil moisture product with existing satellitebased soil moisture products[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(5):2959-2971.
[23] 张庆君, 殷小军, 蒋昱. 发展海洋盐度卫星完善我国海洋动力卫星观测体系[J]. 航天器工程, 2017, 26(1):1-5.
[24] Reynolds R W, Ji M, Leetmaa A. Use of salinity to improve ocean modeling[J]. Physics and Chemistry of the Earth, 1998, 23(5-6):543-553.
[25] Sen A, Kim Y, Caruso D, et al. Aquarius/SAC-D mission overview[C]//Proceedings of the 6361, Sensors, Systems, and NextGeneration Satellites X. Stockholm, Sweden:SPIE, 2006:14.
[26] Silvestrin P, Berger M, Kerr Y H, et al. ESA's second earth explorer opportunity mission:the soil moisture and ocean salinity mission-SMOS[J]. IEEE Geoscience and Remote Sensing Letter, 2001, 118:11-14.
[27] Le Vine D M, Abraham S, Kerr Y H, et al. Comparison of model prediction with measurements of galactic background noise at Lband[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(9):2018-2023.
[28] Reul N, Tenerelli J, Guimabrd S. SMOS Level 3&4 research products of the centre d'expertise ifremer du CATDS[Z]. Plouzane France:Centre Aval de Traitement des Donnees SMOS Expertise Center Ocean Salinity, 2015.
[29] Durand F, Gourdeau L, Delcroix T, et al. Assimilation of sea surface salinity in a tropical Oceanic General Circulation Model (OGCM):a twin experiment approach[J]. Journal of Geophysical Research:Oceans, 2002, 107(C12):8004.
[30] Durand F, Gourdeau L, Delcroix T, et al. Can we improve the representation of modeled ocean mixed layer by assimilating surface-only satellite-derived data? A case study for the tropical Pacific during the 1997-1998 El Niño[J]. Journal of Geophysical Research:Oceans, 2003, 108(C6):3200.
[31] Tranchant B, Testut C E, Ferry N, et al. Data assimilation of simulated SSS SMOS products in an ocean forecasting system[J]. Journal of Operational Oceanography, 2008, 1(2):19-27.
[32] Tranchant B, Testut C E, Renault L, et al. Expected impact of the future SMOS and Aquarius Ocean surface salinity missions in the Mercator Ocean operational systems:new perspectives to monitor ocean circulation[J]. Remote Sensing of Environment, 2008, 112(4):1476-1487.
[33] Brassington G B, Divakaran P. The theoretical impact of remotely sensed sea surface salinity observations in a multi-variate assimilation system[J]. Ocean Modelling, 2009, 27(1-2):70-81.
[34] Vernieres G, Kovach R, Keppenne C, et al. The impact of the assimilation of Aquarius sea surface salinity data in the GEOS ocean data assimilation system[J]. Journal of Geophysical Research:Oceans, 2014, 119(10):6974-6987.
[35] Chakraborty A, Sharma R, Kumar R, et al. A SEEK filter assimilation of sea surface salinity from Aquarius in an OGCM:implication for surface dynamics and thermohaline structure[J]. Journal of Geophysical Research:Oceans, 2014, 119(8):4777-4796.
[36] Chakraborty A, Sharma R, Kumar R, et al. Joint assimilation of Aquarius-derived sea surface salinity and AVHRR-derived sea surface temperature in an ocean general circulation model using SEEK filter:implication for mixed layer depth and barrier layer thickness[J]. Journal of Geophysical Research:Oceans, 2015, 120(10):6927-6942.
[37] Toyoda T, Fujii Y, Kuragano T, et al. Improvements to a global ocean data assimilation system through the incorporation of Aquarius surface salinity data[J]. Quarterly Journal of the Royal Meteorological Society, 2015, 141(692):2750-2759.
[38] Köhl A, Martins S M, Stammer D. Impact of assimilating surface salinity from SMOS on ocean circulation estimates[J]. Journal of Geophysical Research:Oceans, 2014, 119(8):5449-5464.
[39] Lu Z T, Cheng L J, Zhu J, et al. The complementary role of SMOS sea surface salinity observations for estimating global ocean salinity state[J]. Journal of Geophysical Research:Oceans, 2016, 121(6):3672-3691.
[40] 蒋兴伟. 聚焦主业夯实基础推动海洋卫星事业再创新佳绩[J]. 海洋开发与管理, 2017, 34(S1):66-70.

服务与反馈：

【文章下载】【发表评论】【查看评论】【加入收藏】