Supermodeling by combining imperfect models
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Date
2011
Volume
7
Issue
Journal
Series Titel
Book Title
Publisher
Amsterdam : Elsevier B.V.
Link to publishers version
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.
Description
Keywords
Climate science, Machine learning, Nonlinear dynamics, Climate science, Machine-learning, Non-linear dynamics, MESFET devices, Climate models
Citation
Selten, F. M., Duane, G. S., Wiegerinck, W., Keenlyside, N., Kurths, J., & Kocarev, L. (2011). Supermodeling by combining imperfect models. 7. https://doi.org//10.1016/j.procs.2011.09.025
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License
CC BY-NC-ND 3.0 Unported