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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing

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Data Assimilation - Making Sense of Observations (Paperback, 2010 ed.) Loot Price: R5,215
Discovery Miles 52 150
Data Assimilation - Making Sense of Observations (Paperback, 2010 ed.): William Lahoz, Boris Khattatov, Richard Menard

Data Assimilation - Making Sense of Observations (Paperback, 2010 ed.)

William Lahoz, Boris Khattatov, Richard Menard

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Loot Price R5,215 Discovery Miles 52 150 | Repayment Terms: R489 pm x 12*

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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).

General

Imprint: Springer-Verlag
Country of origin: Germany
Release date: November 2014
First published: 2010
Editors: William Lahoz • Boris Khattatov • Richard Menard
Dimensions: 235 x 155 x 42mm (L x W x T)
Format: Paperback
Pages: 718
Edition: 2010 ed.
ISBN-13: 978-3-642-42273-7
Categories: Books > Earth & environment > Earth sciences > The hydrosphere > Oceanography (seas)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Geographical information systems (GIS)
Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
Books > Earth & environment > The environment > Pollution & threats to the environment > General
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LSN: 3-642-42273-X
Barcode: 9783642422737

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