CEREA DA-ML team's repositories
co2-images-seg
The official code for "Segmentation of XCO2 images with deep learning: application to synthetic plumes from cities and power plants", submitted to " Geoscientific Model Development"
co2-images-inv-dl
Official repository for the paper "Deep learning applied to CO2 power plant emissions quantification using simulated satellite images"
diffusion-nextsim-regional
Official implementation for "Generative diffusion for regional surrogate models from sea-ice simulations"
hybrid_nn_meb_model
The official code for "Deep learning subgrid-scale parametrisations for short-term forecasting of sea-ice dynamics with a Maxwell elasto-brittle rheology", published in the "The Cryosphere"
adomo-mocis-wape-daml-tutorial
Practical sessions of data assimilation with a shallow water model.
ddm-attractor
Official repository to the paper: "Representation learning with unconditional denoising diffusion models for dynamical systems"
nextsim-surrogate
Repository containing all source codes to train a surrogate model of neXtSIM and plot figures of paper 'Data-driven surrogate modeling of high-resolution sea-ice thickness in the Arctic' published in The Cryosphere
optimal-transport
Code to solve optimal transport
cerea-daml.github.io
Website for the CEREA-DAML team
pyshqg
Python solver for the Marshall and Molteni (1993) quasi-geostrophic model.
tdma-practical-session
Practical session at the summer school "TDMA"