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).
Author(s): William Lahoz, Boris Khattatov, Richard Ménard (auth.), William Lahoz, Boris Khattatov, Richard Menard (eds.)
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2010
Language: English
Pages: 718
Tags: Earth Sciences, general; Earth Sciences, general; Remote Sensing/Photogrammetry; Atmospheric Sciences; Oceanography; Atmospheric Protection/Air Quality Control/Air Pollution
Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Data Assimilation and Information....Pages 3-12
Mathematical Concepts of Data Assimilation....Pages 13-39
Variational Assimilation....Pages 41-67
Ensemble Kalman Filter: Current Status and Potential....Pages 69-92
Error Statistics in Data Assimilation: Estimation and Modelling....Pages 93-112
Bias Estimation....Pages 113-135
The Principle of Energetic Consistency in Data Assimilation....Pages 137-216
Evaluation of Assimilation Algorithms....Pages 217-240
Initialization....Pages 241-260
Front Matter....Pages 261-261
The Global Observing System....Pages 263-281
Assimilation of Operational Data....Pages 283-299
Research Satellites....Pages 301-321
Front Matter....Pages 323-323
General Concepts in Meteorology and Dynamics....Pages 325-349
The Role of the Model in the Data Assimilation System....Pages 351-379
Numerical Weather Prediction....Pages 381-406
Front Matter....Pages 407-407
Introduction to Atmospheric Chemistry and Constituent Transport....Pages 409-430
Representation and Modelling of Uncertainties in Chemistry and Transport Models....Pages 431-448
Constituent Assimilation....Pages 449-490
Inverse Modelling and Combined State-Source Estimation for Chemical Weather....Pages 491-513
Front Matter....Pages 515-515
Ocean Data Assimilation....Pages 517-547
Front Matter....Pages 515-515
Land Surface Data Assimilation....Pages 549-597
Assimilation of GPS Soundings in Ionospheric Models....Pages 599-619
Front Matter....Pages 621-621
Reanalysis: Data Assimilation for Scientific Investigation of Climate....Pages 623-646
Observing System Simulation Experiments....Pages 647-679
Data Assimilation for Other Planets....Pages 681-699
Back Matter....Pages 701-718