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Language: en
Pages: 256
Pages: 256
Type: BOOK - Published: 2015-09-05 - Publisher: Springer
This book provides a systematic treatment of the mathematical underpinnings of work in data assimilation, covering both theoretical and computational approaches
Language: en
Pages: 310
Pages: 310
Type: BOOK - Published: 2016-12-29 - Publisher: SIAM
Data assimilation is an approach that combines observations and model output, with the objective of improving the latter. This book places data assimilation int
Language: en
Pages: 285
Pages: 285
Type: BOOK - Published: 2006-12-22 - Publisher: Springer Science & Business Media
This book reviews popular data-assimilation methods, such as weak and strong constraint variational methods, ensemble filters and smoothers. The author shows ho
Language: en
Pages: 978
Pages: 978
Type: BOOK - Published: 2017-03-10 - Publisher: Elsevier
Data Assimilation for the Geosciences: From Theory to Application brings together all of the mathematical,statistical, and probability background knowledge need
Language: en
Pages: 368
Pages: 368
Type: BOOK - Published: 2003 - Publisher: Cambridge University Press
This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictabili