EyringMLClimateGroup 's repositories
grundner23james_EquationDiscovery_CloudCover
A hierarchical modeling framework to discover new machine learning-based equations for cloud cover, including symbolic regression
debeire24clear_Bagged_TimeSeries_Causality
Code to reproduce figures of Debeire, K., Runge, J., Gerhardus, A., Eyring, V. (2024). Bootstrap aggregation and confidence measures to improve time series causal discovery
grundner22james_icon-ml_cloudcover
A NN based cloud cover parameterization for the ICON-A model
pacal23jgr_GaussianMixtureModels_Extremes
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
kaps23ESSD_CCClim
Creation and analysis of the CCClim dataset
karmouche23esd_CausalModelEvaluation_Modes
Notebooks for the code used to perform regime-oriented causal model evaluation of CMIP6 LEs
karmouche24esd_AtlanticPacificPacemaker_Causality
Code to reproduce figures from Karmouche, S., Galytska, E., Meehl, G. A., Runge, J., Weigel, K., and Eyring, V. (2024) Changing effects of external forcing on Atlantic-Pacific interactions