Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
Published on 3. June 2013
Book
Hardback
XIX, 730 pages
978-3-642-35087-0 (ISBN)
Description
This book contains the most recent progress in data assimilation in meteorology, oceanography and hydrology including land surface. It spans both theoretical and applicative aspects with various methodologies such as variational, Kalman filter, ensemble, Monte Carlo and artificial intelligence methods. Besides data assimilation, other important topics are also covered including targeting observation, sensitivity analysis, and parameter estimation. The book will be useful to individual researchers as well as graduate students for a reference in the field of data assimilation.
More details
Edition
2013 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
99 s/w Abbildungen, 170 farbige Abbildungen
XIX, 730 p. 269 illus., 170 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 46 mm
Weight
1279 gr
ISBN-13
978-3-642-35087-0 (9783642350870)
DOI
10.1007/978-3-642-35088-7
Schweitzer Classification
Other editions
Additional editions
SEON KI PARK | Liang Xu
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
Book
08/2016
Springer
€213.99
Shipment within 7-9 days
SEON KI PARK | Liang Xu
Data Assimilation for Atmospheric, Oceanic and Hydrologic Applications (Vol. II)
E-Book
05/2013
1st Edition
Springer
€213.99
Available for download
Content
A Review on the Theory and Methodologies of Estimation for Dynamical Systems.- Nudging Methods: A Critical Overview.- Markov Chain Monte Carlo Methods: Theory and Applications.- Information Content in Data Assimilation.- A Question of Adequacy of Observations in Variational Data Assimilation.- Quantifying Observation Impact for a Limited Area Atmospheric Forecast Model.- Skewness of the Prior through Position Errors and Its Impact on Data Assimilation.- Background Error Correlation Modeling with Diffusion Operator.- The Adjoint Sensitivity Guidance to Diagnosis and Tuning of Error Covariance Parameters.- Treating Nonlinearities in Data-Space Variational Assimilation.- Linearized Physics for Data Assimilation at ECMWF.- Recent Applications in Representer-Based Variational Data Assimilation.