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Ocean Data Assimilation Using Intermittent Analyses and Continuous Model Error Correction
作者姓名:Bohua Huang  James L. Kinter III  Paul S. Schopf
作者单位:CenterforOcean-Land-AtmosphereStudies,InstituteofGlobalEnvironmentandSociety,Maryland20705
基金项目:This research was supported by the National Science Foundation (ATM-9321354) and the National Oceanic and Atmospheric Administration (NA46-GP0217), and computing resources were provided by the National Center for Atmospheric Research Scientific Computin
摘    要:A new data insertion approach is applied to the Derber and Rosati ocean data assimilation(ODA) system,a system that uses a variational scheme to analyze ocean temperature and provide ocean model corrections continuously.Utilizing the same analysis component as the original system,the new approach conducts analyses to derive model corrections intermittently at once-daily intervals.A technique similar to the Incremental Analysis Update(IAU) method of Bloom et al.is applied to incorporate the corrections into the model gradually and continuously.This approach is computationally more economical than the original.A 13-year global ocean analysis from 1986 to 1998 is produced using this new approach and compared with an analysis based on the original one.An examination of both analyses in the tropical Pacific Ocean shows that they have qualitatively similar annual and interannual temperature variability.Howerver,the new approach produces smoother monthly analyses.Moreover,compared to the independent observations from current meters,the new equatorial currents are significantly better than the original analyses,not only in maintaining the mean state but also in capturing the annual and interannual variations.

关 键 词:数据同化作用  海洋基本环流模型  洋流  温度剖面  海洋表面温度
收稿时间:15 December 2001

Ocean data assimilation using intermittent analyses and continuous model error correction
Bohua Huang,James L. Kinter III,Paul S. Schopf.Ocean Data Assimilation Using Intermittent Analyses and Continuous Model Error Correction[J].Advances in Atmospheric Sciences,2002,19(6):965-992.
Authors:Bohua Huang  James L Kinter  Paul S Schopf
Institution:Center for Ocean-Land-Atmosphere Studies, Institute of Global Environment and Society, Maryland 20705,Center for Ocean-Land-Atmosphere Studies, Institute of Global Environment and Society, Maryland 20705,Center for Ocean-Land-Atmosphere Studies, Institute of Global Environment and Society, Maryland 20705
Abstract:A new data insertion approach is applied to the Derber and Rosati ocean data assimilation (ODA) system, a system that uses a variational scheme to analyze ocean temperature and provide ocean model corrections continuously. Utilizing the same analysis component as the original system, the new approach conducts analyses to derive model corrections intermittently at once-daily intervals. A technique similar to the Incremental Analysis Update (IAU) method of Bloom et al. is applied to incorporate the corrections into the model gradually and continuously. This approach is computationally more economical than the original.A 13-year global ocean analysis from 1986 to 1998 is produced using this new approach and compared with an analysis based on the original one. An examination of both analyses in the tropical Pacific Ocean shows that they have qualitatively similar annual and interannual temperature variability. However, the new approach produces smoother monthly analyses. Moreover, compared to the independent observations from current meters, the new equatorial currents are significantly better than the original analyses, not only in maintaining the mean state but also in capturing the annual and interannual variations.
Keywords:data assimilation  ocean general circulation model  ocean current  temperature profiles  sea surface temperature
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