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