朱江. 1995. 观测资料的四维质量控制:变分法[J]. 气象学报, 53(4):480-487, doi:10.11676/qxxb1995.054
观测资料的四维质量控制:变分法
FOUR-DIMENSIONAL DATA QUALITY CONTROLL:VARIATIONAL METHOD
投稿时间:1993-11-26  修订日期:1994-04-04
DOI:10.11676/qxxb1995.054
中文关键词:  变分资料同化  质量控制  重大误差
英文关键词:Variational data assimilation  Quality control  Gross errol
基金项目:
作者单位
朱江 中国科学院大气物理研究所, 青岛, 266003 
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中文摘要:
      利用四维变分资料同化技术,定义了观测资料的误差均差比,并在理论上初步探讨了利用误差均差比来判断资料中重大误差(gross error)的合理性.利用简单的Lorenz模式进行了一些数值试验,以检验质量控制方案.
英文摘要:
      Given a set of meteorological data,using the variational data assimilation technique (also called the adjoint method) and some dynamic model we fulfil the dynamical interpolation of the data set.Then comparing the interpolation with the data we 90 on to define the error/mean error ratio for every individual data.The utility of using the error/mean error ratio to identify the gross (or rough) error is demonstrated.The numerical experiment results using the simple Lorentz three-dimensional tnedel are very encouraging.The advantages of this method comparing with traditional data quality control procedure are:(1) we do not need know the covarience of data errors,that probably means that it is more suitable for quality control of climate or satellite data:(2) we make use of prognostic equations,rather than diagnostic ones,which the data are to obey at least approximately;(3) we use both the spatial and temporal continuity check rather than only sPatial one and (4) we carry out the spatial or temporal continuity check by making the interpolation dynamically,rather than by making the linear or statistical interpolation.
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