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Forecast error correction using dynamic data assimilation

Author: S Lakshmivarahan; John M Lewis; Rafal Jabrzemski
Publisher: Switzerland : Springer, [2017]
Series: Springer atmospheric sciences.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Forecast Error Correction Using Dynamic Data Assimilation.
[Place of publication not identified] : Springer-Verlag New York Inc 2016
(OCoLC)950953198
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: S Lakshmivarahan; John M Lewis; Rafal Jabrzemski
ISBN: 9783319399973 3319399977
OCLC Number: 961185277
Description: 1 online resource (xvi, 270 pages)
Contents: Part I Theory.- Introduction.- Dynamics of evolution of first- and second-order forward sensitivity: discrete time and continuous time.- Estimation of control errors using forward sensitivities: FSM with single and multiple observations.- Relation to adjoint sensitivity and impact of observation.- Estimation of model errors using Pontryagin's Maximum Principle- its relation to 4-D VAR and hence FSM.- FSM and predictability - Lyapunov index.- Part II Applications.- Mixed-layer model - the Gulf of Mexico problem.- Lagrangian data assimilation.- Conclusions.- Appendix.- Index.
Series Title: Springer atmospheric sciences.
Responsibility: Sivaramakrishnan Lakshmivarahan, John M. Lewis, Rafal Jabrzemski.
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