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Data Assimilation - William Lahoz
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Data Assimilation: Making Sense of Observations
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Data Assimilation: Making Sense of Observations - encadernada, livro de bolso

2010, ISBN: 9783540747024

Editor: Lahoz, William, Editor: Khattatov, Boris, Editor: Menard, Richard, Springer, Hardcover, Auflage: 2010, 732 Seiten, Publiziert: 2010-07-05T00:00:01Z, Produktgruppe: Book, Herstelle… mais…

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Data Assimilation - William Lahoz
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William Lahoz:
Data Assimilation - encadernada, livro de bolso

ISBN: 9783540747024

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Data Assimilation
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Data Assimilation - Livro de bolso

2010, ISBN: 9783540747024

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Data Assimilation
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Data Assimilation - Livro de bolso

2010, ISBN: 9783540747024

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Data Assimilation
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Número ISBN:

3540747028


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).

Dados detalhados do livro - Data Assimilation


EAN (ISBN-13): 9783540747024
ISBN (ISBN-10): 3540747028
Livro de capa dura
Livro de bolso
Ano de publicação: 2010
Editor/Editora: Springer Berlin Heidelberg

Livro na base de dados desde 2014-02-19T10:22:52-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-08-02T13:23:37-03:00 (Sao Paulo)
Número ISBN/EAN: 3540747028

Número ISBN - Ortografia alternativa:
3-540-74702-8, 978-3-540-74702-4
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: menard, lahoz
Título do livro: data assimilation, assimil, observations, sense

Dados da editora

Autor: William Lahoz; Boris Khattatov; Richard Menard
Título: Data Assimilation - Making Sense of Observations
Editora: Springer; Springer Berlin
718 Páginas
Ano de publicação: 2010-07-05
Berlin; Heidelberg; DE
Língua: Inglês
213,99 € (DE)
219,99 € (AT)
236,00 CHF (CH)
Available
XIV, 718 p.

BB; Hardcover, Softcover / Geowissenschaften; Geowissenschaften; Verstehen; Atmospheric chemistry; Earth System; Meteorology; Ocean; Weather forecasting; algorithm; algorithms; chemistry; climate; model; modeling; satellite; simulation; statistics; weather; remote sensing/photogrammetry; air pollution and air quality; Earth Sciences; Geographical Information System; Atmospheric Science; Ocean Sciences; Pollution; Geographische Informationssysteme (GIS) und Fernerkundung; Meteorologie und Klimatologie (Klimaforschung); Ozeanographie (Meereskunde), Meere und Ozeane; Umweltverschmutzung und Gefahren für die Umwelt; EA; BC

Theory.- Data Assimilation and Information.- Mathematical Concepts of Data Assimilation.- Variational Assimilation.- Ensemble Kalman Filter: Current Status and Potential.- Error Statistics in Data Assimilation: Estimation and Modelling.- Bias Estimation.- The Principle of Energetic Consistency in Data Assimilation.- Evaluation of Assimilation Algorithms.- Initialization.- Observations.- The Global Observing System.- Assimilation of Operational Data.- Research Satellites.- Meteorology and Atmospheric Dynamics.- General Concepts in Meteorology and Dynamics.- The Role of the Model in the Data Assimilation System.- Numerical Weather Prediction.- Atmospheric Chemistry.- to Atmospheric Chemistry and Constituent Transport.- Representation and Modelling of Uncertainties in Chemistry and Transport Models.- Constituent Assimilation.- Inverse Modelling and Combined State-Source Estimation for Chemical Weather.- Wider Applications.- Ocean Data Assimilation.- Land Surface Data Assimilation.- Assimilation of GPS Soundings in Ionospheric Models.- The Longer View.- Reanalysis: Data Assimilation for Scientific Investigation of Climate.- Observing System Simulation Experiments.- Data Assimilation for Other Planets.
Includes supplementary material: sn.pub/extras

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