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Title: Supermodeling by combining imperfect models
Authors: Selten, F.M.Duane, G.S.Wiegerinck, W.Keenlyside, N.Kurths, J.Kocarev, L.
Publishers Version: https://doi.org/10.1016/j.procs.2011.09.025
Issue Date: 2011
Published in: Procedia Computer Science Vol. 7 (2011)
Publisher: Amsterdam : Elsevier B.V.
Abstract: SUMO (Supermodeling by combining imperfect models) is a three-year project funded under FET Open program with a starting date October, 1, 2010. We review some basic facts and findings of the SUMO project.
Keywords: Climate science; Machine learning; Nonlinear dynamics; Climate science; Machine-learning; Non-linear dynamics; MESFET devices; Climate models
DDC: 004
License: CC BY-NC-ND 3.0 Unported
Link to License: https://creativecommons.org/licenses/by-nc-nd/3.0/
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