Data Assimilation: Making Sense of Observations

Cover
William Lahoz, Boris Khattatov, Richard Menard
Springer Science & Business Media, 23.07.2010 - 718 Seiten

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).

 

Ausgewählte Seiten

Inhalt

Part I Theory
2
Part II Observations
262
Part III Meteorology and Atmospheric Dynamics
324
Part IV Atmospheric Chemistry
407
Part V Wider Applications
514
Part VI The Longer View
620
Appendix
701
Index
705
Urheberrecht

Andere Ausgaben - Alle anzeigen

Data Assimilation: Making Sense of Observations
William Lahoz,Boris Khattatov,Richard Menard
Keine Leseprobe verfügbar - 2010
Data Assimilation: Making Sense of Observations
William Lahoz,Boris Khattatov,Richard Menard
Keine Leseprobe verfügbar - 2010
Data Assimilation: Making Sense of Observations
William Lahoz,Boris Khattatov,Richard Menard
Keine Leseprobe verfügbar - 2014

Häufige Begriffe und Wortgruppen

adjoint algorithm Andersson applications approach Atmos atmospheric background error covariance biases chapter chemical chemistry circulation climate components computed constituent correlations covariance matrix data assimilation data assimilation system defined dynamics Earth ECMWF emissions EnKF ensemble forecasts ensemble Kalman filter Envisat equations estimate evaluation example Geophys global gradient grid H-valued random variable Hilbert space humidity impact improved initial conditions instruments inverse ionospheric Kalnay Khattatov Lahoz land surface linear measurements Met Office meteorological method model error Nature Run non-linear Numerical Weather Prediction objective function observation error Observing System ocean optimal OSSEs ozone panel parameters perturbations processes profiles Q. J. R. Meteorol radiances radiosonde random variable reanalysis resolution Rossby waves scalar scales Sect simulated soil moisture space spatial statistical stratospheric Talagrand techniques temperature Thépaut tion transport tropical tropopause troposphere values variance variational assimilation vector vertical water vapour Weather Forecasts Weather Rev wind

Autoren-Profil (2010)

William Lahoz’s main interests are data assimilation and Earth Observation. He has numerous publications in leading scientific journals and book chapters. He has organized international symposia, conferences and Summer Schools, and been an invited speaker. William is an ACP editor. He contributed to the 1998 WMO Ozone Assessment. He has been on several international scientific committees. William currently leads NILU land data assimilation activities. He co-funded the UK-DARC, of which he was Deputy Director, and led the prestigious European project on Envisat data assimilation, ASSET.

Boris Khattatov’ primary area of expertise involves applications of optimal control, estimation, and inverse problem theory to problems in the numerical modelling of the Earth’s atmosphere and satellite data analysis. Boris led a US Air Force sponsored effort on advancing modelling capabilities for nowcasting and forecasting ionospheric "weather". He has numerous publications in leading scientific journals, and has contributed to books and patents.

Richard Ménard has been involved in data assimilation for nearly 20 years. Thereafter, he joined the NASA Global Modeling and Assimilation Office and then joined Environment Canada in 2000. He was awarded his Ph.D. on Kalman filtering of Burgers’ equation (Roger Daley, advisor). He has made several contributions in the field of Kalman filtering, chemical data assimilation, covariance modelling, validation of assimilation systems, and chemical-dynamical coupling.

Bibliografische Informationen

TitelData Assimilation: Making Sense of Observations
HerausgeberWilliam Lahoz, Boris Khattatov, Richard Menard
Ausgabeillustriert
VerlagSpringer Science & Business Media, 2010
ISBN3540747036, 9783540747031
Länge718 Seiten
  
Zitat exportierenBiBTeX EndNote RefMan