05: Models and predictions: Basic ingredients, dimensionless numbers, predictions versus predictability - and what can go wrong, 10.08.2017 - a podcast by Karlsruher Institut für Technologie (KIT)

05 |
0:00:00 start
0:02:19 Structure of Talk
0:02:54 Introduction
0:09:08 The purpose of models
0:15:55 Basic ingredients of models
0:19:26 Predictability and determinism
0:22:43 Nonlinear effects (Deterministic chaos)
0:27:46 Verification of models –– ''non–verifiable'' models
0:30:07 Verification of models –– no-analog communities
0:32:19 Computing models –– alternatives to general relativity
0:35:37 Computing models –– heuristic vs. physically based models
0:40:31 Extrapolation of models
0:44:28 Constituents of Climate Models
0:45:27 Climate Models: Basic variables
0:46:41 Climate Models: System of equations
0:47:23 Climate Models: Initial and boundary conditions
0:47:55 Climate Models: Straightforward solutions of the equations
0:51:25 Model zoo: Increasing complexity of models
0:53:18 Climate Models: Practical problems
0:55:52 Forecast: Changing boundary conditions
0:56:54 Forecast: Changing boundary conditions
0:57:56 Summary

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