Multi-time scale ensemble Kalman filtering online data assimilation method

According to the multi-time-scale set Kalman filtering online data assimilation method, historical statistical data generated in a single mode is utilized to construct set members on different time scales, so that fusion of various ocean and meteorological data acquisition and interaction of multi-t...

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Bibliographic Details
Main Authors WANG JINGJU, YU XIAOLIN, LU LYU, ZHANG SHAOQING, JIANG YINGJING, LI JIANGYU
Format Patent
LanguageChinese
English
Published 15.12.2023
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
MEASURING
METEOROLOGY
PHYSICS
TESTING
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Summary:According to the multi-time-scale set Kalman filtering online data assimilation method, historical statistical data generated in a single mode is utilized to construct set members on different time scales, so that fusion of various ocean and meteorological data acquisition and interaction of multi-time-scale background information are expected to be realized; therefore, the real-time online data assimilation function is achieved, meanwhile, the requirement for computing resources is remarkably reduced, and the purpose of improving the data assimilation efficiency and the numerical mode simulation accuracy in the high-resolution numerical mode is achieved. Carrying out data statistics on historical high-temporal-spatial-resolution data simulated by ocean and meteorological modes according to a time sequence, generating set members of different time scales, and obtaining a multi-time-scale background error covariance; and reading real-time observation data along with the integration of the high-resolution mode
Bibliography:Application Number: CN202311489333