Assimilation of TOVS radiance information through one-dimensional variational analysis
Assimilation of TOVS radiance information through one-dimensional variational analysis
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DOI：
10.1002/qj.49711951411
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发表时间：
1993-10
影响因子：
8.9
通讯作者：
J. Eyre;G. Kelly;A. Mcnally;E. Andersson;A. Persson
中科院分区：
文献类型：
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作者：
J. Eyre;G. Kelly;A. Mcnally;E. Andersson;A. Persson
近年来，在数值天气预报（NWP）中以独立反演温度和湿度廓线的形式利用卫星探测数据遇到了困难。现在人们的注意力集中在如何把辐射测量中的信息更直接地同化到数值预报系统中去。欧洲中期天气预报中心开发了一种称为“一维变分分析”（1DVAR）的方案，作为从TIROS业务垂直探测器辐射率中提取信息的方法，用于业务数据同化系统。1DVAR方案是基于变分原理应用于分析的大气廓线在一个单一的位置，使用预报廓线及其误差协方差作为约束。该计划的细节。1DVAR产品中的误差与短期预报的误差相关，作为后续三维分析的背景。解决这方面的同化问题的方法进行了讨论。介绍了1DVAR产品的特点及其对分析的影响。已经进行了一系列预报影响试验，并证明对北方的预报技能产生了一致的积极影响。
In recent years difficulties have been experienced in exploiting satellite sounding data in numerical weather prediction (NWP) in the form of independently retrieved temperature and humidity profiles. Attention has now focused on methods through which the information in the radiance measurements may be assimilated more directly into the NWP system%. A scheme known as ‘one-dimensional variational analysis’ (1DVAR) has been developed at the European Centre for Medium-range Weather Forecasts as a method for extracting information from TIROS Operational Vertical Sounder radiances for use in the operational data-assimilation system. The 1DVAR scheme is based on variational principles applied to the analysis of the atmospheric profile at a single location, using a forecast profile and its error covariance as constraints. The details of the scheme are presented. Errors in 1DVAR products are correlated with those of the short-range forecast which serves as a background for the subsequent three-dimensional analysis. Methods for addressing this aspect of the assimilation problem are discussed. The characteristics of 1DVAR products and their impact on the analysis are described. A series of forecast impact experiments has been conducted and has demonstrated consistent positive impacts on forecast skill in the northern hemisphere.