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Data assimilation and the adjoint method: an overview

Abstract

In this note a general description of the application of the adjoint method for four dimensional data assimilation is given. The main focus of this discussion is that this method when applied to a discrete model is simply an application of the chair rule of multivariate calculus to compute the gradient of a real valued function of several variables. Several different time differencing schemes are considered, as well as, two examples of discrete models.

Description

May 1991.

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Subject

Meteorology -- Data processing
Numerical weather forecasting

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