Data Assimilation For The Earth System


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Data Assimilation for the Earth System


Data Assimilation for the Earth System

Author: Richard Swinbank

language: en

Publisher: Springer Science & Business Media

Release Date: 2003-10-31


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Proceedings of the NATO Advanced Study Institute, Acquafredda, Maratea, Italy from 19 May to 1 June 2002

Atmospheric Modeling, Data Assimilation and Predictability


Atmospheric Modeling, Data Assimilation and Predictability

Author: Eugenia Kalnay

language: en

Publisher: Cambridge University Press

Release Date: 2003


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This book, first published in 2002, is a graduate-level text on numerical weather prediction, including atmospheric modeling, data assimilation and predictability.

Data Assimilation for the Earth System


Data Assimilation for the Earth System

Author: Richard Swinbank

language: en

Publisher: Springer Science & Business Media

Release Date: 2012-12-06


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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.