Data Assimilation for the Earth System

. Ed(s): Swinbank, Richard; Shutyaev, Victor (Institute of Numerical Mathemat ics, Russian Academy of Sciences, Moscow, Russia); Lahoz, William (Albe

ISBN 10: 1402015933 / ISBN 13: 9781402015939

Published by Kluwer Academic Publishers, 2003

About this Item

Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002 Editor(s): Swinbank, Richard; Shutyaev, Victor (Institute of Numerical Mathemat ics, Russian Academy of Sciences, Moscow, Russia); Lahoz, William (Albert Data Assimilation Research Centre, University of Reading). Series: NATO Science Series IV. Num Pages: 377 pages, biography. BIC Classification: PDE; RBG; TBJ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 240 x 160 x 18. Weight in Grams: 693. . 2003. Softcover reprint of the original 1st ed. 2003. Paperback. . . . .

Seller Inventory # V9781402015939

Bibliographic Details

• Title: Data Assimilation for the Earth System
• Publisher: Kluwer Academic Publishers
• Publication Date: 2003
• Language: English
• ISBN 10: 1402015933
• ISBN 13: 9781402015939
• Binding: Soft cover
• Condition: New

About this title

Synopsis

Data assimilation is the combination of information from observations and models of a particular physical system in order to get the best possible estimate of the state of that system. The technique has wide applications across a range of earth sciences, a major application being the production of operational weather forecasts. Others include oceanography, atmospheric chemistry, climate studies, and hydrology.
Data Assimilation for the Earth System is a comprehensive survey of both the theory of data assimilation and its application in a range of earth system sciences. Data assimilation is a key technique in the analysis of remote sensing observations and is thus particularly useful for those analysing the wealth of measurements from recent research satellites.
This book is suitable for postgraduate students and those working on the application of data assimilation in meteorology, oceanography and other earth sciences.