Forecast Error Correction using Dynamic Data Assimilation

Forecast Error Correction using Dynamic Data Assimilation

EnglishPaperback / softbackPrint on demand
Lakshmivarahan Sivaramakrishnan
Springer, Berlin
EAN: 9783319820101
Print on demand
Delivery on Friday, 6. of December 2024
CZK 2,237
Common price CZK 2,486
Discount 10%
pc
Do you want this product today?
Oxford Bookshop Praha Korunní
not available
Librairie Francophone Praha Štěpánská
not available
Oxford Bookshop Ostrava
not available
Oxford Bookshop Olomouc
not available
Oxford Bookshop Plzeň
not available
Oxford Bookshop Brno
not available
Oxford Bookshop Hradec Králové
not available
Oxford Bookshop České Budějovice
not available
Oxford Bookshop Liberec
not available

Detailed information

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.        
EAN 9783319820101
ISBN 3319820109
Binding Paperback / softback
Publisher Springer, Berlin
Publication date June 23, 2018
Pages 270
Language English
Dimensions 235 x 155
Country Switzerland
Readership General
Authors Jabrzemski Rafal; Lakshmivarahan Sivaramakrishnan; Lewis John M.
Illustrations XVI, 270 p. 125 illus., 104 illus. in color.
Edition Softcover reprint of the original 1st ed. 2017
Series Springer Atmospheric Sciences