Publications

May, 2026
Towards Accurate Extreme Event Likelihoods from Diffusion Model Climate Emulators
arXiv Paper
May, 2026 Journal of Advances in Modeling Earth Systems
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
DOI arXiv Paper
January, 2026
Surface Temperature Extremes Produced by Huge Machine Learning Hindcasts of Summer 2023
arXiv
January, 2026 Journal of Geophysical Research: Atmospheres
Subseasonal forecasting and MJO teleconnections in machine learning weather prediction models
Paper
January, 2026
Learning Accurate Storm-Scale Evolution from Observations
arXiv
January, 2026 Science Advances
Kilometer-Scale Convection-Allowing Model Emulation Using Generative Diffusion Modeling
Paper
January, 2026
HealDA: Highlighting the Importance of Initial Errors in End-to-End AI Weather Forecasts
arXiv
January, 2026
Examining Fast Radiatively Driven Responses Using Machine-Learning Weather Emulators
arXiv
January, 2026
Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting
arXiv
December, 2025
Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models
arXiv
October, 2025 Journal of Advances in Modeling Earth Systems
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
DOI Paper
September, 2025 Geoscientific Model Development
Huge Ensembles Part 2: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators
Paper Website
September, 2025 Geoscientific Model Development
Huge ensembles -- Part 1: Design of Ensemble Weather Forecasts Using Spherical Fourier Neural Operators
Paper Website
August, 2025 Journal of Machine Learning Research
ClimSim-Online: A Large Multi-Scale Dataset and Framework for Hybrid Physics-ML Climate Emulation
Paper
July, 2025 Journal of Advances in Modeling Earth Systems
Stable Machine-Learning Parameterization of Subgrid Processes in a Comprehensive Atmospheric Model Learned From Embedded Convection-Permitting Simulations
Paper
July, 2025
Climate In A Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere
arXiv Website
July, 2025 International Conference on Machine Learning (ICML)
Adaptive Flow Matching for Resolving Small-Scale Physics
arXiv
April, 2025 International Conference on Learning Representations (ICLR)
Heavy-Tailed Diffusion Models
arXiv
April, 2025 Geophysical Research Letters
A Practical Probabilistic Benchmark for AI Weather Models
Paper Website
February, 2025 Nature Communications Earth & Environment
Residual Corrective Diffusion Modeling for Km-Scale Atmospheric Downscaling
Paper Website
January, 2025
Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction
arXiv
January, 2025
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
arXiv
January, 2025
Climsim-Online: A Large Multi-Scale Dataset and Framework for Hybrid ML-Physics Climate Emulation
arXiv Website
June, 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
arXiv
June, 2024
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model
arXiv
January, 2024
StormCast: Kilometer-Scale Convection Allowing Model Emulation Using Generative Diffusion Modeling
arXiv
Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus Christopher Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles I Stern, Tom Beucler, Bryce Harrop, Benjamin R Hillman, Andrea Jenney, Savannah Ferretti, Nana Liu, Anima Anandkumar, Noah D Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David C Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, Yu Huang, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark A Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard
January, 2023 Proceedings of the Conference on Neural Information Processing Systems (NeurIPS)
ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
PDF Website