Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting
Karlbauer, Matthias
Produktnummer:
187fbf780a0a31485baa2a3335c172ec70
Autor: | Karlbauer, Matthias |
---|---|
Themengebiete: | Knowledge Extraction Physics Aware Neural Networks Spatiotemporal Dynamics |
Veröffentlichungsdatum: | 24.03.2025 |
EAN: | 9783989440258 |
Sprache: | Englisch |
Seitenzahl: | 190 |
Produktart: | Kartoniert / Broschiert |
Verlag: | Eberhard Karls Universität Tübingen Tübingen Library Publishing |
Produktinformationen "Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting"
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.

Sie möchten lieber vor Ort einkaufen?
Sie haben Fragen zu diesem oder anderen Produkten oder möchten einfach gerne analog im Laden stöbern? Wir sind gerne für Sie da und beraten Sie auch telefonisch.
Juristische Fachbuchhandlung
Georg Blendl
Parcellistraße 5 (Maxburg)
8033 München
Montag - Freitag: 8:15 -18 Uhr
Samstags geschlossen