Autoregressive Models of Background Errors for 1 Chemical Data Assimilation
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چکیده
منابع مشابه
Autoregressive Models of Background Errors for Chemical Data Assimilation
The task of providing an optimal analysis of the state of the atmosphere requires the development of dynamic data-driven systems that efficiently integrate the observational data and the models. Data assimilation (DA) is the process of adjusting the states or parameters of a model in such a way that its outcome (prediction) is close, in some distance metric, to observed (real) states. It is wid...
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تاریخ انتشار 2011