Sungduk Yu

Latest

• ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
• Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
• Navigating the Noise: Bringing Clarity to ML Parameterization Design with O(100) Ensembles
• Simulating Atmospheric Processes in Earth System Models and Quantifying Uncertainties With Deep Learning Multi-Member and Stochastic Parameterizations
• Climsim-Online: A Large Multi-Scale Dataset and Framework for Hybrid ML-Physics Climate Emulation
• ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation