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Karthik Kashinath
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HealDA: Highlighting the Importance of Initial Errors in End-to-End AI Weather Forecasts
Kilometer-Scale Convection-Allowing Model Emulation Using Generative Diffusion Modeling
Surface Temperature Extremes Produced by Huge Machine Learning Hindcasts of Summer 2023
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
Huge ensembles -- Part 1: Design of Ensemble Weather Forecasts Using Spherical Fourier Neural Operators
Huge Ensembles Part 2: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
Climate In A Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
StormCast: Kilometer-Scale Convection Allowing Model Emulation Using Generative Diffusion Modeling
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
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