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

Apr 24, 2014

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1680 Views

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

Lasko Basnarkov

Apr 24, 2014

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46:01

Learning Models, Supermodels, and Ensemble Models of Dynamic Systems

Sašo Džeroski

Apr 24, 2014

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2065 Views

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01:00:59

Aims and Means of Supermodeling by Cross-Pollination in Time

Leonard A Smith

Apr 24, 2014

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1780 Views

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01:01:44

An introduction to learning from data streams

João Gama

Apr 24, 2014

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2768 Views

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40:04

Climate Prediction

Noel Keenlyside

Apr 24, 2014

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1644 Views

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