Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting - Softcover

Karlbauer, Matthias

Softcover

ISBN 10: 398944025X ISBN 13: 9783989440258

Verlag: Eberhard Karls Universität Tübingen Tübingen Library Publishing, 2025

Inhaltsangabe

This thesis explores the potential of machine learning methods for improving weather forecasts. Since weather is considered a spatiotemporal process that evolves over space through time, the thesis first investigates the design choices required for machine learning models to simulate synthetic spatiotemporal processes, such as the two-dimensional wave equation. It then develops a method for analyzing machine learning models that enables the extraction of unknown process-relevant context that parameterizes an observed simulated spatiotemporal process of interest. Relating these extracted factors to physical properties leads the thesis to physics-aware machine learning, where it explores how to fuse process knowledge from physics with the learning ability of artificial neural networks. Given the insights from those investigations, a competitive deep learning weather prediction model is designed to understand which design choices support data-driven algorithms to learn a meaningful function that predicts realistic and stable states of the atmosphere over hundreds of hours, days, and weeks into the future.

Details zur Ausgabe

• Verlag: Eberhard Karls Universität Tübingen Tübingen Library Publishing
• Erscheinungsdatum: 2025
• Sprache: Deutsch
• ISBN 10: 398944025X
• ISBN 13: 9783989440258
• Einband: Taschenbuch
• Anzahl der Seiten: 190
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: BOD - Books On Demand GmbH; info@bod.de; ; Überseering 33; Hamburg; 22297; Deutschland