Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter

Parameter estimation in an atmospheric GCM using the Ensemble Kalman Filter

We demonstrate the application of an efficient multivariate probabilistic parameter estimation method to a spectral primitive equation atmospheric GCM. The method, which is based on the Ensemble Kalman Filter, is effective at tuning the surface air temperature climatology of the model to both identi...

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Bibliographic Details
Main Authors:	J. D. Annan, D. J. Lunt, J. C. Hargreaves, P. J. Valdes
Format:	Article
Language:	English
Published:	Copernicus Publications 2005-01-01
Series:	Nonlinear Processes in Geophysics
Online Access:	http://www.nonlin-processes-geophys.net/12/363/2005/npg-12-363-2005.pdf

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