The correlation length-scale optimized by baroclinic Rossby radius of deformation and its improvement to optimum interpolation

Wang Gongjie; Zhang Ren; Chen Jian; Wang Huizan; Wang Luhua

doi:10.3969/j.issn.0253-4193.2014.01.012

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Wang Gongjie, Zhang Ren, Chen Jian, Wang Huizan, Wang Luhua. The correlation length-scale optimized by baroclinic Rossby radius of deformation and its improvement to optimum interpolation[J]. Haiyang Xuebao, 2014, 36(1): 109-118. doi: 10.3969/j.issn.0253-4193.2014.01.012

Citation:

Wang Gongjie, Zhang Ren, Chen Jian, Wang Huizan, Wang Luhua. The correlation length-scale optimized by baroclinic Rossby radius of deformation and its improvement to optimum interpolation[J]. Haiyang Xuebao, 2014, 36(1): 109-118. doi: 10.3969/j.issn.0253-4193.2014.01.012

Citation:

Wang Gongjie, Zhang Ren, Chen Jian, Wang Huizan, Wang Luhua. The correlation length-scale optimized by baroclinic Rossby radius of deformation and its improvement to optimum interpolation[J]. Haiyang Xuebao, 2014, 36(1): 109-118. doi: 10.3969/j.issn.0253-4193.2014.01.012

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The correlation length-scale optimized by baroclinic Rossby radius of deformation and its improvement to optimum interpolation

doi: 10.3969/j.issn.0253-4193.2014.01.012

PLA Key Laboratory of Military Marine Enviroment, Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China

Received Date: 2013-09-13

Abstract

Abstract

Three-dimensional reconstruction of temperature and salinity based on Optimal interpolation requires correct estimation of the background error covariance and the error correlation scale is determined by baroclinic Rossby radius of deformation. According this issue,they proposed a research scheme of optimizing the correlation length-scale by baroclinic Rossby radius of deformation using the newest high resolution regional climatological data. In this paper,they compared the different results calculated by homogenization correlation scale scheme,the French ISAS scale scheme and the radius of deformation scheme. The results showed that: the RMSE of homogenization correlation scales scheme was much smaller than that of ISAS scheme,but pattern of temperature was too smooth and appears unreasonable extremes,so it could not describe some of the important physical phenomena; when the error correlation length was taken as 2 times the radius of deformation,the RMSE at every level was relatively smaller; in addition,the temperature calculated by the new scales scheme determined by the radius of deformation could better describe the three-dimensional structure of temperature affected by both Kuroshio and vortex field in Shikoku basin. As the actual physical processes in the ocean were different,the settings of optimal scales scheme was different in different layers.
- optimal interpolation,
- baroclinic Rossby radius of deformation,
- correlation length-scale

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References(21)

References

Talagrand O. Assimilaton of observations, an introduction[J]. J Met Soc Japan, Special Issue, 1997, 75(1B): 191—209.

Troupin C, Barth A. Generation of analysis and consistent error fields using the Data Interpolating Variational Analysis(DIVA)[J].Ocean Modeling, 2012, 52-53:90—101.

Brion E, Gaillard F.ISAS-Tool Version 6: User's manual[R].France: Ifremer, 2012.

闫长香, 谢基平, 朱江.一个快速海洋三维温盐流分析系统及在亚丁湾邻近海域的应用[J].气候与环境研究, 2011, 16(4):419—429.

Kalnay E. Atmospheric Modeling, Data Assimilation and Predictability[M].Cambridge University Press, 2003.

Gandin L S. Objective Analysis of Meteorological Fields[M]. Legingrad: Hydrometeorological Publi, 1963.

庄照荣, 薛纪善, 庄士宇, 等.资料同化中背景场位势高度误差统计分析的研究[J]. 大气科学, 2006, 30(3): 533—544.

李冬, 王喜冬, 张学峰, 等.基于扩散滤波的多尺度三维变分研究[J]. 海洋通报, 2011, 30(2):164—171.

舒业强.针对表层海温与实测温盐的南海海洋资料同化研究[D].广州:中国科学院南海海洋研究所, 2009.

Jacob L, Hyer, Jun She. Optimal interpolation of sea surface temperature for the North Sea and Baltic Sea[J]. Journal of Marine Systems, 2009, 65(1-4): 176—189.

Meyers C, Phillips H, Smith N, et al. Space and time scales for optimal interpolation of temperature -Tropical Pacific Ocean[J]. Prog Oceanog, 1991, 28(3):189—218.

Reynolds, Richard W, Dudley B. Chelton comparisons of daily sea surface temperature analyses for 2007-08[J]. J Climate, 2010, 23: 3545—3562.

Qiu Bo. Kuroshio extension variability and forcing of the Pacific decadal oscillations: responses and potential feedback[J]. J Phys Oceanogr, 2003, 33: 2465—2482.

LeBlond P H, Mysak L A. Waves in the Ocean[M].Armsterdam∶Elsevier, 1978.

Pedlosky J. Geoptysical fluid dynamics[M]. New York:Springer-Verlag, 1987:710.

Gill A E. Atmosphere -ocean Dynamics[M]. New York: Academic Press, 1982.

Emery W J, Lee W G, Magaard L. Geographic and seasonal distributions of Brunt-Vaisala frequency and Rossby radⅡ in the North Pacific and North Atlantic[J]. J Phys Oceanogr, 1984, 14:294—317.

Chelton, Dudley B, Roland A, et al. Geographical variability of the First Baroclinic Rossby Radius of deformation[J]. J Phys Oceanogr, 1998, 28:433—460.

Cai Shuqun, Long Xiaomin, Wu Renhao, et al. Geographical and monthly variability of the first baroclinic Rossby radius of deformation in the South China Sea[J]. Journal of Marine Systems, 2008, 74(1/2):711—720.

管秉贤.伊豆海脊两侧顺时针流涡的若干观测证据[J]. 海洋科学进展, 1996, 14(4):1—9.

Chaigneau A, Texier M L, Eldin G, et al. Vertical structure of mesoscale eddies in the eastern South Pacific Ocean: A composite analysis from altimetry and Argo profiling floats[J]. J Geophys Res, 2011, 116(C11): 25.

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