M²LInES homepage

About Us

Our goal is to uncover and capture the unaccounted physical processes at the air-sea-ice interface, which will reduce climate model biases, and improve climate projections

Our funder

This project is supported by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology.

Read more in our press release

International team

Our international team is based in the US and in France and includes scientists from New York University, Princeton, GFDL, Columbia, LDEO, NCAR, MIT, CNRS-IGE, and CNRS-IPSL.

Machine Learning

Our project will develop interpretable Machine Learning models to deepen our understanding of complex processes in the climate system.

Innovation

This innovative effort will leverage the availability of big data from high-resolution simulations, as well as data assimilation products (learning from model errors), with machine learning models to improve the representation of subgrid physics in the ocean, sea-ice and atmosphere components of existing climate models.

Code of conduct

You will find our code of conduct here

Code of Conduct
  • This project is supported by Schmidt Futures, a philanthropic initiative founded by Eric and Wendy Schmidt that bets early on exceptional people making the world better, particularly through innovative breakthroughs in science and technology.