Pinned Repositories
convection-parameterization-in-CAM
Deployment of the convection parameterization scheme (previously from within SAM) deployed into the CAM model
gz21_ocean_momentum
Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing
hub
Implementation-ZB20
Contains source code and Figure plotting functions of ZB20 parameterization implemented to the MOM6 ocean model
L96_demo
Lorenz 1996 two time-scale model for learning machine learning
m2lines.github.io
m2lines.github.io Hugo website source
Neural_nework_parameterization
Code used in:"Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision"
pyqg_generative
Generative models (GAN, VAE) for parameterization of mesoscale eddies in pyqg ocean model.
pyqg_parameterization_benchmarks
Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
seaice_DA-ML
m2lines's Repositories
m2lines/L96_demo
Lorenz 1996 two time-scale model for learning machine learning
m2lines/pyqg_parameterization_benchmarks
Public-facing git repository for JAMES submission, "Benchmarking of machine learning ocean parameterizations in an idealized model"
m2lines/gz21_ocean_momentum
Stochastic-Deep Learning Parameterization of Ocean Momentum Forcing
m2lines/pyqg_generative
Generative models (GAN, VAE) for parameterization of mesoscale eddies in pyqg ocean model.
m2lines/convection-parameterization-in-CAM
Deployment of the convection parameterization scheme (previously from within SAM) deployed into the CAM model
m2lines/m2lines.github.io
m2lines.github.io Hugo website source
m2lines/hub
m2lines/Implementation-ZB20
Contains source code and Figure plotting functions of ZB20 parameterization implemented to the MOM6 ocean model
m2lines/mom6-plots
Centralized plotting styles and functions for MOM6 output
m2lines/Neural_nework_parameterization
Code used in:"Use of neural networks for stable, accurate and physically consistent parameterization of subgrid atmospheric processes with good performance at reduced precision"
m2lines/seaice_DA-ML
m2lines/EquationDisco
M²LInES equation discovery package.
m2lines/MLwithQG
Jupyter book tutorial on Ross 2022 machine learning subgrid parametrizations
m2lines/momentum_parameterization
Code and associated data with neural network parameterization of momentum
m2lines/subgrid
m2lines/subgrid_parameterization
m2lines/swe_stochastic_param
Shallow Water Equations on a square basin with stochastic deep learning parameterization of subgrid momentum forcing
m2lines/CAM-ML
Community Atmosphere Model
m2lines/data-gallery
m2lines/pyqg_hackathon_examples
Examples for the M2LiNES hackathon!
m2lines/Spinup-NEMO