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05: Models and predictions: Basic ingredients, dimensionless numbers, predictions versus predictability - and what can go wrong, 10.08.2017
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Вміст надано Karlsruher Institut für Technologie (KIT). Весь вміст подкастів, включаючи епізоди, графіку та описи подкастів, завантажується та надається безпосередньо компанією Karlsruher Institut für Technologie (KIT) або його партнером по платформі подкастів. Якщо ви вважаєте, що хтось використовує ваш захищений авторським правом твір без вашого дозволу, ви можете виконати процедуру, описану тут https://uk.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
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