Data Assimilation

Making Sense of Observations

Nonfiction, Science & Nature, Technology, Remote Sensing, Science, Earth Sciences
Cover of the book Data Assimilation by , Springer Berlin Heidelberg
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Author: ISBN: 9783540747031
Publisher: Springer Berlin Heidelberg Publication: July 23, 2010
Imprint: Springer Language: English
Author:
ISBN: 9783540747031
Publisher: Springer Berlin Heidelberg
Publication: July 23, 2010
Imprint: Springer
Language: English

Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).

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Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out the theoretical basis of data assimilation with contributions by top international experts in the field. Various aspects of data assimilation are discussed including: theory; observations; models; numerical weather prediction; evaluation of observations and models; assessment of future satellite missions; application to components of the Earth System. References are made to recent developments in data assimilation theory (e.g. Ensemble Kalman filter), and to novel applications of the data assimilation method (e.g. ionosphere, Mars data assimilation).

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