{"product_id":"artificial-neural-networks-for-knowledge-extraction-in-spatiotemporal-dynamics-and-weather-forecasting-von-matthias-karlbauer","title":"Artificial Neural Networks for Knowledge Extraction in Spatiotemporal Dynamics and Weather Forecasting","description":"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.\u003cdiv class=\"aw-variant-hidden-subtitle-div\" id=\"aw-variant-subtitle-9783989440258\"\u003e\u003ch3\u003e\u003c\/h3\u003e\u003c\/div\u003e","brand":"Autorenwelt Shop","offers":[{"title":"Softcover - 9783989440258","offer_id":54388210139461,"sku":"9783989440258","price":16.5,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0940\/0622\/files\/a30c7a29-c966-47e7-8a8b-39d2ced66a77.jpg?v=1771568995","url":"https:\/\/shop.autorenwelt.de\/en\/products\/artificial-neural-networks-for-knowledge-extraction-in-spatiotemporal-dynamics-and-weather-forecasting-von-matthias-karlbauer","provider":"Autorenwelt Shop","version":"1.0","type":"link"}