Springer Atmospheric Sciences

Lakshmivarahan, Sivaramakrishnan; Lewis, John M.; Jabrzemski, Rafal

This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.        

Details

Published by: Springer

Publication Date: 2018-06-23

Format: Paperback

ISBN-13: 9783319820101

DOI: 10.1007/978-3-319-39997-3

Dimensions: 235cm x155cm

Pages: 270