Search Results for author: Peter D. Dueben

Found 3 papers, 1 papers with code

Bridging observation, theory and numerical simulation of the ocean using Machine Learning

no code implementations26 Apr 2021 Maike Sonnewald, Redouane Lguensat, Daniel C. Jones, Peter D. Dueben, Julien Brajard, Venkatramani Balaji

Progress within physical oceanography has been concurrent with the increasing sophistication of tools available for its study.

Time Series

Machine Learning Emulation of 3D Cloud Radiative Effects

no code implementations22 Mar 2021 David Meyer, Robin J. Hogan, Peter D. Dueben, Shannon L. Mason

The treatment of cloud structure in radiation schemes used in operational numerical weather prediction and climate models is often greatly simplified to make them computationally affordable.

WeatherBench: A benchmark dataset for data-driven weather forecasting

2 code implementations2 Feb 2020 Stephan Rasp, Peter D. Dueben, Sebastian Scher, Jonathan A. Weyn, Soukayna Mouatadid, Nils Thuerey

Data-driven approaches, most prominently deep learning, have become powerful tools for prediction in many domains.

Weather Forecasting

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