Pinned Repositories
behrens22james_SPCAM_VED
behrens24james_SPCESM2_ML_ensembles
Code repository to reproduce: G.Behrens, T. Beucler, F. Iglesias-Suarez, S. Yu, P. Gentine, M. Pritchard, M. Schwabe and V. Eyring, 2024. Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
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
galytska23jgr_EvaluatingCausalArcticMidlatTelec
grundner22james_icon-ml_cloudcover
A NN based cloud cover parameterization for the ICON-A model
grundner23james_EquationDiscovery_CloudCover
A hierarchical modeling framework to discover new machine learning-based equations for cloud cover, including symbolic regression
heuer23_ml_convection_parameterization
iglesias-suarez23jgr_CausalNNCAM
kaps22tgrs_ml_cloud_eval
pacal23jgr_GaussianMixtureModels_Extremes
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
EyringMLClimateGroup 's Repositories
EyringMLClimateGroup/iglesias-suarez23jgr_CausalNNCAM
EyringMLClimateGroup/behrens22james_SPCAM_VED
EyringMLClimateGroup/grundner23james_EquationDiscovery_CloudCover
A hierarchical modeling framework to discover new machine learning-based equations for cloud cover, including symbolic regression
EyringMLClimateGroup/galytska23jgr_EvaluatingCausalArcticMidlatTelec
EyringMLClimateGroup/grundner22james_icon-ml_cloudcover
A NN based cloud cover parameterization for the ICON-A model
EyringMLClimateGroup/behrens24james_SPCESM2_ML_ensembles
Code repository to reproduce: G.Behrens, T. Beucler, F. Iglesias-Suarez, S. Yu, P. Gentine, M. Pritchard, M. Schwabe and V. Eyring, 2024. Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties with Deep Learning Multi-Member and Stochastic Parameterizations
EyringMLClimateGroup/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
EyringMLClimateGroup/heuer23_ml_convection_parameterization
EyringMLClimateGroup/kaps22tgrs_ml_cloud_eval
EyringMLClimateGroup/pacal23jgr_GaussianMixtureModels_Extremes
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
EyringMLClimateGroup/heuer24_gbt_shap_toydata
EyringMLClimateGroup/kaps23_domain_adaptation
EyringMLClimateGroup/kaps23ESSD_CCClim
Creation and analysis of the CCClim dataset
EyringMLClimateGroup/karmouche23esd_CausalModelEvaluation_Modes
Notebooks for the code used to perform regime-oriented causal model evaluation of CMIP6 LEs
EyringMLClimateGroup/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