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Forecast Error Correction using Dynamic Data Assimilation

Forecast Error Correction using Dynamic Data Assimilation

by Sivaramakrishnan LakshmivarahanRafal Jabrzemski and John M. Lewis
Paperback
Publication Date: 23/06/2018
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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.
ISBN:
9783319820101
9783319820101
Category:
Data mining
Format:
Paperback
Publication Date:
23-06-2018
Publisher:
Springer International Publishing AG
Country of origin:
Switzerland
Pages:
270
Dimensions (mm):
235x155x15mm
Weight:
4.39kg

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