Description: Forecast Error Correction using Dynamic Data Assimilation Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Sivaramakrishnan Lakshmivarahan, John M. Lewis, Rafal Jabrzemski Format: Paperback Publisher: Springer International Publishing AG, Switzerland Imprint: Springer International Publishing AG ISBN-13: 9783319820101, 978-3319820101 Synopsis 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.
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Book Title: Forecast Error Correction using Dynamic Data Assimilation
Number of Pages: 270 Pages
Language: English
Publication Name: Forecast Error Correction Using Dynamic Data Assimilation
Publisher: Springer International Publishing A&G
Publication Year: 2018
Subject: Geology, Computer Science
Item Height: 235 mm
Item Weight: 4394 g
Type: Textbook
Author: Rafal Jabrzemski, John M. Lewis, Sivaramakrishnan Lakshmivarahan
Series: Springer Atmospheric Sciences
Item Width: 155 mm
Format: Paperback