Peter Dueben

Challenges and design choices for global weather and climate models based on machine learning

Peter Dueben, Péter Bauer · Geoscientific model development · 2018 · 341 citations · Full text

Engineering, Machine Learning, Ai Foundation +20

The digital revolution of Earth-system science

Péter Bauer, Peter Dueben, Torsten Hoefler et al. · Nature Computational Science · 2021 · 241 citations

Geophysics, Earth System, Engineering +8

Deep learning for post-processing ensemble weather forecasts

Peter Grönquist, Chengyuan Yao, Tal Ben‐Nun et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 192 citations · Full text

Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI

Matthew Chantry, Hannah M. Christensen, Peter Dueben et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · 2021 · 169 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +16

A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts

Lucy Harris, Andrew T. T. McRae, Matthew Chantry et al. · Journal of Advances in Modeling Earth Systems · 2022 · 165 citations · Full text

Forecasting Methodology, Engineering, Machine Learning +25