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06/14/2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Modern climate projections lack adequate spatial and temporal resolution...
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04/11/2023
Selecting Robust Features for Machine Learning Applications using Multidata Causal Discovery
Robust feature selection is vital for creating reliable and interpretabl...
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12/07/2022
Physics-constrained deep learning postprocessing of temperature and humidity
Weather forecasting centers currently rely on statistical postprocessing...
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12/21/2021
Deep Learning Based Cloud Cover Parameterization for ICON
A promising approach to improve cloud parameterizations within climate m...
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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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12/01/2021
Analyzing High-Resolution Clouds and Convection using Multi-Channel VAEs
Understanding the details of small-scale convection and storm formation ...
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07/03/2020
Generative Modeling for Atmospheric Convection
To improve climate modeling, we need a better understanding of multi-sca...
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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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06/15/2019
