Public repository and data access
Some of our data are hosted on our OSN pod, which can be accessed via any S3-compatible client using endpoint:
https://nyu1.osn.mghpcc.org/ and bucket name: m2lines-pubs.
Here is an example
script.
In particular, you can find on
this page
documentation on how to access the OM4 data.
Our code is hosted on our GitHub repository. Model weights are hosted on Hugging Face.
Learning Machine Learning with Lorenz-96
Dive into climate & machine learning with this hands-on, interactive Jupyter book: your quick-start guide to our field.
MOM6 M²LInES dev branch with our parametrizations
AI-enhanced operational state-of-the-art Ocean-Sea-Ice coupled model.
Samudra: An AI Global Ocean Emulator for Climate
The first 3D global emulator for Climate, 360x faster than traditional models!
Code |
Weights |
OM4-data
SamudrACE: the coupled climate emulator
Fast and accurate coupled ocean–atmosphere–sea-ice emulator.
Code |
Weights
CAMulator: Fast Emulation of the Community Atmosphere Model
250× quicker than CESM CAM.
Code