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behrens24james_SPCESM2_ML_ensembles
behrens24james_SPCESM2_ML_ensembles PublicCode repository to reproduce: G.Behrens, T. Beucler, F. Iglesias-Suarez, S. Yu, P. Gentine, M. Pritchard, M. Schwabe and V. Eyring, 2025. Simulating Atmospheric Processes in Earth System Models and…
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grundner22james_icon-ml_cloudcover
grundner22james_icon-ml_cloudcover PublicA NN based cloud cover parameterization for the ICON-A model
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grundner23james_EquationDiscovery_CloudCover
grundner23james_EquationDiscovery_CloudCover PublicA hierarchical modeling framework to discover new machine learning-based equations for cloud cover, including symbolic regression
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debeire24clear_Bagged_TimeSeries_Causality
debeire24clear_Bagged_TimeSeries_Causality PublicCode to reproduce figures of Debeire, K., Runge, J., Gerhardus, A., Eyring, V. (2024). Bootstrap aggregation and confidence measures to improve time series causal discovery
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This repository contains the Juypter Notebooks and python files to reproduce the main results of the paper: L. Pastori, V. Eyring, M. Schwabe, "Fisher Information, Training and Bias in Fourier Regression Models", arXiv:2510.06945.
- pastori26MLEarth_QNN-cloudcover Public
Code for quantum neural networks for cloud cover parameterizations in climate models
- pacal25esd_UnderstandingHeatwaves_VAE Public
This repository contains the code and models used in the paper "A multivariate analysis of atmospheric drivers for Western European heatwaves".
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This repository presents a code for causal inference to quantify dominant chemical–dynamical pathways that control ozone variability in the tropical middle stratosphere
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Accompagnying repository for "Quantum machine learning-based parameterization for atmospheric boundary layer turbulence"
- sarauer24eds_ml_microphysics_parameterization Public
A physics-informed machine learning parameterization for cloud microphysics in ICON
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