EyringMLClimateGroup

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19 repositories

bonnet24gmd_automatic_tuning_atm
Public
Automatic tuning scripts for ICON-A R2B5
Jupyter Notebook
•0•0•0•0•Updated Dec 3, 2024Dec 3, 2024
hafner24jgrml_MLradiationemulation_offline
Public
Jupyter Notebook
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Apache License 2.0
•0•0•0•0•Updated Nov 11, 2024Nov 11, 2024
kuehbacher24ICMLA_PCMasking
Public
A framework for physically consistent deep learning-based climate model parameterization
Jupyter Notebook
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Other
•0•0•0•0•Updated Sep 25, 2024Sep 25, 2024
behrens24james_SPCESM2_ML_ensembles
Public
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
deep-learning stochastic ensemble subgrid-scale-modeling earth-system-modeling
Jupyter Notebook
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MIT License
•1•3•0•0•Updated Sep 18, 2024Sep 18, 2024
sarauer24eds_ml_microphysics_parameterization
Public
A physics-informed machine learning parameterization for cloud microphysics in ICON
Jupyter Notebook
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Apache License 2.0
•0•0•0•0•Updated Sep 11, 2024Sep 11, 2024
heuer23_ml_convection_parameterization
Public
Jupyter Notebook
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Apache License 2.0
•0•1•0•0•Updated Jul 18, 2024Jul 18, 2024
karmouche24esd_AtlanticPacificPacemaker_Causality
Public
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
Jupyter Notebook
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Apache License 2.0
•2•1•0•0•Updated Jun 7, 2024Jun 7, 2024
karmouche23esd_CausalModelEvaluation_Modes
Public
Notebooks for the code used to perform regime-oriented causal model evaluation of CMIP6 LEs
Jupyter Notebook
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Apache License 2.0
•1•0•0•0•Updated Jun 7, 2024Jun 7, 2024
heuer24_gbt_shap_toydata
Public
Jupyter Notebook
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Apache License 2.0
•0•0•0•0•Updated Apr 12, 2024Apr 12, 2024
kaps23ESSD_CCClim
Public
Creation and analysis of the CCClim dataset
Python
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Apache License 2.0
•1•0•0•0•Updated Apr 2, 2024Apr 2, 2024
debeire24clear_Bagged_TimeSeries_Causality
Public
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
time-series bagging causal-discovery bootstrap-aggregation
Python
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GNU General Public License v3.0
•1•1•1•0•Updated Feb 23, 2024Feb 23, 2024
kaps23_domain_adaptation
Public
Python
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Apache License 2.0
•1•0•0•0•Updated Dec 7, 2023Dec 7, 2023
kaps22tgrs_ml_cloud_eval
Public
Python
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Apache License 2.0
•2•1•0•0•Updated Dec 7, 2023Dec 7, 2023
grundner22james_icon-ml_cloudcover
Public
A NN based cloud cover parameterization for the ICON-A model
Jupyter Notebook
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Apache License 2.0
•1•2•0•0•Updated Nov 28, 2023Nov 28, 2023
grundner23james_EquationDiscovery_CloudCover
Public
A hierarchical modeling framework to discover new machine learning-based equations for cloud cover, including symbolic regression
Jupyter Notebook
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Apache License 2.0
•2•3•0•0•Updated Nov 16, 2023Nov 16, 2023
pacal23jgr_GaussianMixtureModels_Extremes
Public
This repository provides a Python implementation of the Gaussian Mixture Model (GMM) algorithm for detecting extreme events in CMIP6 data.
gaussian-mixture-models climate-change esmvaltool ipcc extreme-events global-warming-levels
Python
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Apache License 2.0
•0•1•0•0•Updated Sep 14, 2023Sep 14, 2023
galytska23jgr_EvaluatingCausalArcticMidlatTelec
Public
Jupyter Notebook
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Apache License 2.0
•1•2•0•0•Updated Aug 21, 2023Aug 21, 2023
iglesias-suarez23jgr_CausalNNCAM
Public
Jupyter Notebook
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Other
•0•6•0•0•Updated Aug 11, 2023Aug 11, 2023
behrens22james_SPCAM_VED
Public
Jupyter Notebook
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MIT License
•2•3•0•0•Updated Jul 28, 2022Jul 28, 2022