Publications | NVIDIA Climate

Ankur Mahesh, William Collins, Boris Bonev, Noah Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis OBrien, others

September, 2025 Geoscientific Model Development

Huge Ensembles Part 2: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators

September, 2025 Geoscientific Model Development

Huge ensembles -- Part 1: Design of Ensemble Weather Forecasts Using Spherical Fourier Neural Operators

Zeyuan Hu, Akshay Subramaniam, Zhiming Kuang, Jerry Lin, Sungduk Yu, Walter M. Hannah, Noah D. Brenowitz, Josh Romero, Michael S. Pritchard

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

Noah D Brenowitz, Tao Ge, Akshay Subramaniam, Peter Manshausen, Aayush Gupta, David M Hall, Morteza Mardani, Arash Vahdat, Karthik Kashinath, Michael S Pritchard

July, 2025

Climate In A Bottle: Towards a Generative Foundation Model for the Kilometer-Scale Global Atmosphere

Stathi Fotiadis, Noah Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani

July, 2025 International Conference on Machine Learning (ICML)

Adaptive Flow Matching for Resolving Small-Scale Physics

Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani

April, 2025 International Conference on Learning Representations (ICLR)

Heavy-Tailed Diffusion Models

Noah D Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R Durran, Peter Harrington, Michael S Pritchard

April, 2025 Geophysical Research Letters

A Practical Probabilistic Benchmark for AI Weather Models

Morteza Mardani, Noah Brenowitz, Yair Cohen, Jaideep Pathak, Chieh-Yu Chen, Cheng-Chin Liu, Arash Vahdat, Mohammad Amin Nabian, Tao Ge, Akshay Subramaniam, others

February, 2025 Nature Communications Earth & Environment

Residual Corrective Diffusion Modeling for Km-Scale Atmospheric Downscaling

Akshay Subramaniam, Dale Durran, David Pruitt, Nathaniel Cresswell-Clay, William Yik

January, 2025

Imposing the Fundamental Dynamical Constraint of Hydrostatic Balance to Improve Global ML Weather Prediction

Salva Rühling Cachay, Miika Aittala, Karsten Kreis, Noah Brenowitz, Arash Vahdat, Morteza Mardani, Rose Yu

January, 2025

Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting

Sungduk Yu, Zeyuan Hu, Akshay Subramaniam, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C Will, others

January, 2025

Climsim-Online: A Large Multi-Scale Dataset and Framework for Hybrid ML-Physics Climate Emulation

Peter Manshausen, Yair Cohen, Peter Harrington, Jaideep Pathak, Michael S. Pritchard, Piyush Garg, Morteza Mardani, Karthik Kashinath, Simon Byrne, Noah Brenowitz

June, 2024

Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales

Chenggong Wang, Michael S Pritchard, Noah Brenowitz, Yair Cohen, Boris Bonev, Thorsten Kurth, Dale Durran, Jaideep Pathak

June, 2024

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model

Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah Brenowitz, Dale Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, others

January, 2024

StormCast: Kilometer-Scale Convection Allowing Model Emulation Using Generative Diffusion Modeling

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, Michael S. Pritchard Sungduk Yu

January, 2023 Proceedings of the Conference on Neural Information Processing Systems (NeurIPS)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation