文章基本信息

标题：Testing variational estimation of process parameters and initial conditions of an earth system model
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作者：Simon Blessing ; Thomas Kaminski ; Frank Lunkeit 等
期刊名称：Tellus A: Dynamic Meteorology and Oceanography
电子版ISSN：1600-0870
出版年度：2014
卷号：66
页码：1-15
DOI：10.3402/tellusa.v66.22606
语种：English
摘要：We present a variational assimilation system around a coarse resolution Earth System Model (ESM) and apply it for estimating initial conditions and parameters of the model. The system is based on derivative information that is efficiently provided by the ESM's adjoint, which has been generated through automatic differentiation of the model's source code. In our variational approach, the length of the feasible assimilation window is limited by the size of the domain in control space over which the approximation by the derivative is valid. This validity domain is reduced by non-smooth process representations. We show that in this respect the ocean component is less critical than the atmospheric component. We demonstrate how the feasible assimilation window can be extended to several weeks by modifying the implementation of specific process representations and by switching off processes such as precipitation.
关键词：data assimilation; climate modelling; coupled oceanatmosphere model; earth system model; automatic differentiation; adjoint model