观测资料的四维质量控制:变分法

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.

FOUR-DIMENSIONAL DATA QUALITY CONTROLL:VARIATIONAL METHOD

iven a set of meteorological data, using the variational data assimilation technique (also called the ad joint method ) and some dynamic model we fulfil the dynamical interpolation of the data set. Then comparing the interpolation with the data we go 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)erroris demonstrated. The numerical experiment results using the simple Lorentz three-dimensional model 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 satelbte 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.