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Within the project [[http://www.sumoproject.eu/|Super modeling by combining imperfect models]] funded by the ICT FET Open program of the EU, experts from non-linear dynamics, machine learning, and climate science will give lectures on a novel concept of improved modeling from three different perspectives (nonlinear dynamics, machine learning, and climate modeling). This concept has been applied to improve climate change projection. The concept is expected to be also applicable in problem areas other than climate modeling where a small number of alternative models exist of the same real-world complex system.
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Uploaded videos:
General circulation of the atmosphere
Apr 24, 2014
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1680 Views
Short- and long-term predictability. Relation to weather and climate models
Apr 24, 2014
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2194 Views
Learning Models, Supermodels, and Ensemble Models of Dynamic Systems
Apr 24, 2014
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2065 Views
Aims and Means of Supermodeling by Cross-Pollination in Time
Apr 24, 2014
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1780 Views
An introduction to learning from data streams
Apr 24, 2014
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2768 Views
Climate Prediction
Apr 24, 2014
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1644 Views