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Springer - Data Assimilation: Making Sense of Observations

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Description

Explore the fundamental principles of data assimilation with this comprehensive text from Springer. Originally developed for operational weather forecasting, data assimilation methods are now essential across a wide range of earth science disciplines. This book provides a deep look into the theoretical basis of the field, featuring contributions from top international experts. Readers will gain a thorough understanding of how observations and models work together. The content covers essential topics such as numerical weather prediction, the evaluation of models, and the assessment of future satellite missions. It also examines how these methods apply to various components of the Earth System. Whether you are studying higher education earth sciences or working in professional research, this book offers a detailed look at recent developments in the field. It serves as a vital resource for understanding how to make sense of complex observations through proven theoretical frameworks.

Key Features

Expert contributions from top international experts in the field of data assimilation.

Comprehensive coverage of theoretical bases, observations, and numerical weather prediction.

Detailed analysis of model evaluation and the assessment of future satellite missions.

Practical applications regarding various components of the Earth System.

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Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 July 2010
Listed Since
24 August 2007

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