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FOUR-DIMENSIONAL DATA QUALITY CONTROL THROUGH THE ADJOINT APPROACH
作者姓名:朱江
作者单位:Institute of
基金项目:This work is supported by the National Natural Science Foundation of China
摘    要:Using the variational four-dimensional (4-D) data assimilation technique (the adjointmethod), we defined the error/mean-error ratios (EMER) of observational data. The plausibilityof marking the gross error using the EMER is investigated theoretically under some assumptions.Idealized numerical experiments are carried out using the simple Lorenz model to test the qualitycontrol scheme.


FOUR-DIMENSIONAL DATA QUALITY CONTROL THROUGH THE ADJOINT APPROACH
Zhu Jiang.FOUR-DIMENSIONAL DATA QUALITY CONTROL THROUGH THE ADJOINT APPROACH[J].Acta Meteorologica Sinica,1996(1).
Authors:Zhu Jiang
Affiliation:Zhu Jiang,Department of Physical Oceanography,Ocean University of Qingdao,Qingdao 266003 Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing 100029
Abstract:Using the variational four-dimensional (4-D) data assimilation technique (the adjoint method), we defined the error/mean-error ratios (EMER) of observational data. The plausibility of marking the gross error using the EMER is investigated theoretically under some assumptions. Idealized numerical experiments are carried out using the simple Lorenz model to test the quality control scheme.
Keywords:four-dimensional (4-D) data  quality control  error/mean-error ratios
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