))
05: Models and predictions: Basic ingredients, dimensionless numbers, predictions versus predictability - and what can go wrong, 10.08.2017
Manage episode 199778689 series 2103354
Content provided by Karlsruher Institut für Technologie (KIT). All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Karlsruher Institut für Technologie (KIT) or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ro.player.fm/legal.
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
…
continue reading
15 episoade
Distribuie
