Computational Oceanography + Climate @ NYU
Computational Oceanography + Climate @ NYU
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SamudrACE: Fast and Accurate Coupled Climate Modeling with 3D Ocean and Atmosphere Emulators
Impact of Data-Driven Eddy Parameterization on Climate State in an Idealized Coupled CESM Model
A framework for hybrid physics-AI coupled ocean models
The GFDL-CM4X climate model hierarchy, Part I: model description and thermal properties
The GFDL-CM4X climate model hierarchy, Part II: case studies
The Impact of Natural External Forcing on Ocean Heat Uptake Efficiency Since the 1980s
Learning Machine Learning with Lorenz-96
An Analysis of Deep Learning Parameterizations for Ocean Subgrid Eddy Forcing
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