期刊名称：Tellus A: Dynamic Meteorology and Oceanography
电子版ISSN：1600-0870
出版年度：2000
卷号：52
期号：4
页码：412-421
DOI：10.3402/tellusa.v52i4.12277
摘要：A general perturbation–linearization scheme is proposed for the problem of data assimilationwith an imperfect and nonlinear model, allowing for the application of the weak constraintrepresenter method. The scheme is shown in discrete formalism for a generic model. An applicationexample is given with computer-generated data in the case of the Burgers equation.Discussion in reference to the assimilation example concerns: the roˆ le of the model error, seenas a forcing term in the dynamics; the roˆ le of representers as a posteriori error covariances; acomparison among different choices for a priori dynamic error variance and strong constraintassimilation. Weak and strong constraint methods are also compared in a forecastingexperiment.
