Cooperative Institute for Research in the Atmosphere, Colorado State University
Abstract
May 1991.Includes bibliographical references.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.Research supported by U.S. Army Research Office under Grant no. DAAL 03-86-K-0175
