Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems - Image 1

£46.65

Cambridge University Press Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems

Name: Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems
Brand: Cambridge University Press
Price: 46.65 GBP
Availability: InStock

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£47 today · all-time low £45 (Apr 2026) · usually £46

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Description

Since the publication of the first edition of this highly regarded textbook, the value of data assimilation has become widely recognized across the Earth sciences and beyond. Data assimilation methods are now being applied to many areas of prediction and forecasting, including extreme weather events, wildfires, infectious disease epidemics, and economic modeling. This second edition provides a broad introduction to applications across the Earth systems and coupled Earth–human systems, with an expanded range of topics covering the latest developments of variational, ensemble, and hybrid data assimilation methods. New toy models and intermediate-complexity atmospheric general circulation models provide hands-on engagement with key concepts in numerical weather prediction, data assimilation, and predictability. The inclusion of computational projects, exercises, lecture notes, teaching slides, and sample exams makes this textbook an indispensable and practical resource for advanced undergraduate and graduate students, researchers, and practitioners who work in weather forecasting and climate prediction.

Product Specifications

Brand: Cambridge University Press
Format: paperback
ASIN: 1107401461
Category: Books > Subjects > Science, Nature & Maths > Popular Science > Weather
Domain: Amazon UK
Release Date: 31 October 2024
Listed Since: 05 February 2024

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Cambridge University Press Earth System Modeling, Data Assimilation and Predictability: Atmosphere, Oceans, Land and Human Systems

About as cheap as it gets. The only time it was cheaper was 3 months ago.

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