Forecast Error Correction using Dynamic Data Assimilation (Hardcover, 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Springer Atmospheric Sciences
Release date:	November 2016
First published:	2017
Authors:	Sivaramakrishnan Lakshmivarahan • John M. Lewis • Rafal Jabrzemski
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Hardcover
Pages:	270
Edition:	1st ed. 2017
ISBN-13:	978-3-319-39995-9
Categories:	Books > Computing & IT > Applications of computing > Computer modelling & simulation Books > Computing & IT > Computer software packages > Computer graphics software > General
LSN:	3-319-39995-0
Barcode:	9783319399959

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