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08/29/2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models
WeatherBench 2 is an update to the global, medium-range (1-14 day) weath...
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05/02/2022
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models
WeatherBench is a benchmark dataset for medium-range weather forecasting...
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03/23/2022
Increasing the accuracy and resolution of precipitation forecasts using deep generative models
Accurately forecasting extreme rainfall is notoriously difficult, but is...
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12/14/2021
Climate-Invariant Machine Learning
Data-driven algorithms, in particular neural networks, can emulate the e...
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02/20/2020
Towards Physically-consistent, Data-driven Models of Convection
Data-driven algorithms, in particular neural networks, can emulate the e...
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02/02/2020
WeatherBench: A benchmark dataset for data-driven weather forecasting
Data-driven approaches, most prominently deep learning, have become powe...
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06/15/2019
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling
Artificial neural-networks have the potential to emulate cloud processes...
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06/05/2019
Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection
The discovery of new phenomena and mechanisms often begins with a scient...
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06/12/2018
Deep learning to represent sub-grid processes in climate models
The representation of nonlinear sub-grid processes, especially clouds, h...
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05/23/2018