diff --git a/content/code/_index.md b/content/code/_index.md index bd2a2fb00..095a47353 100644 --- a/content/code/_index.md +++ b/content/code/_index.md @@ -5,7 +5,7 @@ heroSubHeading: 'Public repository and data access' heroBackground: '/images/photo-1542831371-29b0f74f9713.jpeg' --- -#### Codes + diff --git a/content/code/cm26.md b/content/code/cm26.md new file mode 100644 index 000000000..2aca7c7bc --- /dev/null +++ b/content/code/cm26.md @@ -0,0 +1,13 @@ +--- +title: CM2.6 +jobtitle: Dataset +datasettype: Cloud +--- + diff --git a/content/code/datadrivenparam.md b/content/code/datadrivenparam.md new file mode 100644 index 000000000..5bead7048 --- /dev/null +++ b/content/code/datadrivenparam.md @@ -0,0 +1,6 @@ +--- +title: Generative data-driven approaches for stochastic subgrid parameterizations +jobtitle: Ocean Parameterization +paper: https://arxiv.org/abs/2302.07984 +code: https://github.com/m2lines/pyqg_generative +--- diff --git a/content/code/diffqg.md b/content/code/diffqg.md new file mode 100644 index 000000000..835786d09 --- /dev/null +++ b/content/code/diffqg.md @@ -0,0 +1,6 @@ +--- +title: Differentiable QG model +jobtitle: Model +paper: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022MS003124 +code: https://github.com/hrkz/torchqg +--- diff --git a/content/code/equationdiscovery.md b/content/code/equationdiscovery.md new file mode 100644 index 000000000..4d72fd74c --- /dev/null +++ b/content/code/equationdiscovery.md @@ -0,0 +1,6 @@ +--- +title: Equation Discovery +jobtitle: Tutorial +paper: https://onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003258 +code: https://github.com/m2lines/EquationDisco +--- diff --git a/content/code/gcm.md b/content/code/gcm.md new file mode 100644 index 000000000..be4134499 --- /dev/null +++ b/content/code/gcm.md @@ -0,0 +1,8 @@ +--- +title: "GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data" +draft: false +jobtitle: Package +paper: https://joss.theoj.org/papers/10.21105/joss.03947 +Website: https://gcm-filters.readthedocs.io/en/latest/index.html +code: https://github.com/ocean-eddy-cpt/gcm-filters +--- diff --git a/content/code/icemodelerrors.md b/content/code/icemodelerrors.md new file mode 100644 index 000000000..6bbb33ad4 --- /dev/null +++ b/content/code/icemodelerrors.md @@ -0,0 +1,6 @@ +--- +title: Deep learning of systematic sea ice model errors from data assimilation increments +jobtitle: Sea Ice Parameterization +paper: https://arxiv.org/abs/2304.03832 +code: https://github.com/m2lines/seaice_DA-ML +--- diff --git a/content/code/lorenz96.md b/content/code/lorenz96.md new file mode 100644 index 000000000..3d851b191 --- /dev/null +++ b/content/code/lorenz96.md @@ -0,0 +1,6 @@ +--- +title: Machine Learning tutorial for Lorenz 96 +jobtitle: Tutorial +Website: https://m2lines.github.io/L96_demo/intro.html +code: https://github.com/m2lines/L96_demo +--- diff --git a/content/code/mom6.md b/content/code/mom6.md new file mode 100644 index 000000000..a3d3ef2d9 --- /dev/null +++ b/content/code/mom6.md @@ -0,0 +1,5 @@ +--- +title: Implementation of data-driven parameterizations in MOM6 +jobtitle: Model +code: https://github.com/NOAA-GFDL/MOM6/pull/356 +--- diff --git a/content/code/momentumforcing.md b/content/code/momentumforcing.md new file mode 100644 index 000000000..53d563f3a --- /dev/null +++ b/content/code/momentumforcing.md @@ -0,0 +1,6 @@ +--- +title: Stochastic parameterization of subgrid momentum forcing +jobtitle: Ocean Parameterization +paper: http://onlinelibrary.wiley.com/doi/abs/10.1029/2021MS002534 +code: https://github.com/m2lines/gz21_ocean_momentum +--- diff --git a/content/code/parampyqg.md b/content/code/parampyqg.md new file mode 100644 index 000000000..5f79c40b3 --- /dev/null +++ b/content/code/parampyqg.md @@ -0,0 +1,6 @@ +--- +title: Implementation of parameterizations in pyqg +jobtitle: Model +code: https://github.com/pyqg/pyqg/pull/266 +paper: https://onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003258 +--- diff --git a/content/code/pyqg.md b/content/code/pyqg.md new file mode 100644 index 000000000..5dfbd60df --- /dev/null +++ b/content/code/pyqg.md @@ -0,0 +1,18 @@ +--- +title: Pyqg parameterization benchmarks +jobtitle: Dataset +datasettype: Benchmark +paper: 'https://onlinelibrary.wiley.com/doi/abs/10.1029/2022MS003258' +website: 'https://m2lines.github.io/MLwithQG/intro.html' +code: 'https://github.com/m2lines/pyqg_parameterization_benchmarks' +--- + + diff --git a/content/code/randomforest.md b/content/code/randomforest.md new file mode 100644 index 000000000..1e820800e --- /dev/null +++ b/content/code/randomforest.md @@ -0,0 +1,6 @@ +--- +title: Random forest to learn atmospheric parameterization +jobtitle: Atmosphere Parameterization +paper: https://www.nature.com/articles/s41467-020-17142-3 +code: https://github.com/m2lines/subgrid_parameterization +--- diff --git a/content/code/shallowwater.md b/content/code/shallowwater.md new file mode 100644 index 000000000..24d3b6034 --- /dev/null +++ b/content/code/shallowwater.md @@ -0,0 +1,6 @@ +--- +title: Stacked shallow water model with stochastic subgrid momentum parameterization +jobTitle: Model +code: https://github.com/arthurBarthe/swe_stochastic_param/tree/0.1 +paper: http://onlinelibrary.wiley.com/doi/abs/10.1029/2021MS002534 +--- diff --git a/content/code/subgridatmosphere.md b/content/code/subgridatmosphere.md new file mode 100644 index 000000000..a10820763 --- /dev/null +++ b/content/code/subgridatmosphere.md @@ -0,0 +1,7 @@ +--- +title: Neural Networks for Stable, Accurate and Physically Consistent Parameterization of Subgrid Atmospheric Processes +jobtitle: Atmosphere Parameterization +paper: https://onlinelibrary.wiley.com/doi/abs/10.1029/2020GL091363 +code: https://github.com/m2lines/convection-parameterization-in-CAM +datasetused: https://drive.google.com/drive/folders/1TRPDL6JkcLjgTHJL9Ib_Z4XuPyvNVIyY +--- diff --git a/content/code/transportatmosphere.md b/content/code/transportatmosphere.md new file mode 100644 index 000000000..aeb1d2d80 --- /dev/null +++ b/content/code/transportatmosphere.md @@ -0,0 +1,7 @@ +--- +title: Neural-Network Parameterization of Subgrid Momentum Transport in the Atmosphere +jobtitle: Atmosphere Parameterization +paper: https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2023MS003606 +code: https://github.com/m2lines/momentum_parameterization +datasetused: https://drive.google.com/drive/folders/1TRPDL6JkcLjgTHJL9Ib_Z4XuPyvNVIyY +--- diff --git a/content/publications/_index.md b/content/publications/_index.md index 9f22b602b..11aee1003 100644 --- a/content/publications/_index.md +++ b/content/publications/_index.md @@ -17,7 +17,7 @@ If you are interested in understanding how M²LInES is using machine learning to
Aakash Sane, Brandon G. Reichl, Alistair Adcroft, Laure Zanna
- Parameterizing vertical mixing coefficients in the Ocean
+ Parameterizing vertical mixing coefficients in the Ocean
Surface Boundary Layer using Neural Networks
ArXiv 2023. DOI: 10.48550/arXiv.2306.09045