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Akshay Subramaniam
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Climate In A Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
Residual Corrective Diffusion Modeling for Km-Scale Atmospheric Downscaling
Climsim-Online: A Large Multi-Scale Dataset and Framework for Hybrid ML-Physics Climate Emulation
Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
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