Supermodeling by Combining Imperfect Models

Supermodeling by Combining Imperfect Models

Supermodeling by Combining Imperfect Models F.M. Selten a, G.S. Duane b,c, W. Wiegerinck d, N. Keenlyside e, J. Kurths f, L. Kocarev c,g a Royal Netherlands Meteorological Institute, De Bilt, The Netherlands b Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, USA c Macedonian Academy of Sciences and Arts, Skopje, Macedonia d Donders Institute for Brain, Cognition ...

SUMO - Supermodeling by combining imperfect models

Supermodeling: Combining Imperfect Models through Learning

At a dozen or so institutes around the world, comprehensive climate models are being developed and improved. Each model provides reasonable simulations of the observed climate, each with its own strengths and weaknesses. In the current multi-model ensemble approach model simulations are combined a posteriori. As an alternative, [1] proposed to dynamically connect the models into one supermodel....

Combining imperfect models through learning

This discussion paper is/has been under review for the journal Earth System Dynamics (ESD). Please refer to the corresponding final paper in ESD if available. Abstract In the current multi-model ensemble approach climate model simulations are combined a posteriori. In the method of this study the models in the ensemble exchange information during simulations and learn from historical observatio...

Supermodeling dynamics and learning mechanisms

At a dozen or so institutes around the world, comprehensive climate models are being developed and improved. Each model provides reasonable simulations of the observed climate, each with its own strengths and weaknesses. In the current multi-model ensemble approach model simulations are combined a posteriori. Recently, it has been proposed to dynamically combine the models and so construct one ...