Material Detail
Aims and Means of Supermodeling by Cross-Pollination in Time
This video was recorded at SUMO Summer School on Non-Linear Dynamics Machine Learning and Climate Modeling, Ohrid 2013. Within the project 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.
Quality
- User Rating
- Comments
- Learning Exercises
- Bookmark Collections
- Course ePortfolios
- Accessibility Info
More about this material
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Accessibility Information Available:
- Unknown
- Creative Commons:
-
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
