SUMO Summer School on Non-Linear Dynamics Machine Learning and Climate Modeling, Ohrid 2013

SUMO Summer School on Non-Linear Dynamics Machine Learning and Climate Modeling, Ohrid 2013

6 Lectures · Sep 1, 2013

About

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:

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01:03:12

General circulation of the atmosphere

Frank Selten

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Lecture
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Short- and long-term predictability. Relation to weather and climate models

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Learning Models, Supermodels, and Ensemble Models of Dynamic Systems

Sašo Džeroski

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01:00:59

Aims and Means of Supermodeling by Cross-Pollination in Time

Leonard A Smith

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01:01:44

An introduction to learning from data streams

João Gama

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2767 Views

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40:04

Climate Prediction

Noel Keenlyside

Apr 24, 2014

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1643 Views

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