Mike Pritchard  

 



  ![](/sites/default/files/person/Mike.Pritchard.jpg)

  

 I am interested in the interface between next generation climate simulation and machine learning. My main focus is on accelerating cloud resolving climate simulations using physics informed machine learning. I am also interested in reinforcement learning approaches to climate model calibration, understanding the limits of autoregressive weather simulations trained on observational data, and AI-assisted low-latency analysis of large high-resolution climate simulation datasets.



   Research Area(s)

[Artificial Intelligence and Machine Learning ](/research-area/machine-learning-artificial-intelligence)

[Climate Simulation](/research-area/climate-simulation)

 

 

  

 Main Field of Interest

[Climate Simulation](/research-area/climate-simulation)

 

  

 Google Scholar

[https://scholar.google.com/citations?user=TfyToUUAAAAJ&hl=en](https://scholar.google.com/citations?user=TfyToUUAAAAJ&hl=en)

 

  

 

 

 



 ### Publications

 

### 2026 

[Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting](/publication/2026-01_demystifying-data-driven-probabilistic-medium-range-weather-forecasting)

[Jean Kossaifi](/person/jean-kossaifi), [Nikola Kovachki](/person/nikola-kovachki), [Morteza Mardani](/person/morteza-mardani), [Daniel Leibovici](/person/daniel-leibovici), Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, [Noah Brenowitz](/person/noah-brenowitz), [Boris Bonev](/person/boris-bonev), [Wonmin Byeon](/person/wonmin-byeon), [Karsten Kreis](/person/karsten-kreis), [Dale Durran](/person/dale-durran), [Arash Vahdat](/person/arash-vahdat), [Mike Pritchard](/person/mike-pritchard), [Jan Kautz](/person/jan-kautz)













[Learning Accurate Storm-Scale Evolution from Observations](/publication/2026-01_learning-accurate-storm-scale-evolution-observations)

[Jaideep Pathak](/person/jaideep-pathak), Mohammad Shoaib Abbas, Peter Harrington, [Zeyuan Hu](/person/zeyuan-hu), [Noah Brenowitz](/person/noah-brenowitz), Suman Ravuri, Alberto Carpentieri, Jussi Leinonen, Corey Adams, Oliver Hennigh, Nicholas Geneva, [Dale Durran](/person/dale-durran), [Mike Pritchard](/person/mike-pritchard)













### 2025 

[Huge ensembles – Part 2: Properties of a huge ensemble of hindcasts generated with spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-2-properties-huge-ensemble-hindcasts-generated-spherical)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5605/2025/)









[Huge ensembles–Part 1: Design of ensemble weather forecasts using spherical Fourier neural operators](/publication/2025-09_huge-ensembles-part-1-design-ensemble-weather-forecasts-using-spherical-fourier)

Ankur Mahesh, William D. Collins, [Boris Bonev](/person/boris-bonev), [Noah Brenowitz](/person/noah-brenowitz), Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis O'Brian, [Mike Pritchard](/person/mike-pritchard), David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard



[GMD Publication](https://gmd.copernicus.org/articles/18/5575/2025/)









[FourCastNet 3: A geometric approach to probabilistic machine-learning weather forecasting at scale](/publication/2025-07_fourcastnet-3-geometric-approach-probabilistic-machine-learning-weather)

[Boris Bonev](/person/boris-bonev), Thorsten Kurth, Ankur Mahesh, Mauro Bisson, [Jean Kossaifi](/person/jean-kossaifi), Karthik Kashinath, Anima Anandkumar, William D. Collins, [Mike Pritchard](/person/mike-pritchard), [Alex Keller](/person/alex-keller)













### 2024 

[Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling](/index.php/publication/2024-08_kilometer-scale-convection-allowing-model-emulation-using-generative-diffusion)

[Jaideep Pathak](/index.php/person/jaideep-pathak), Yair Cohen, Piyush Garg, Peter Harrington, [Noah Brenowitz](/index.php/person/noah-brenowitz), [Dale Durran](/index.php/person/dale-durran), [Morteza Mardani](/index.php/person/morteza-mardani), [Arash Vahdat](/index.php/person/arash-vahdat), Shaoming Xu, Karthik Kashinath, [Mike Pritchard](/index.php/person/mike-pritchard)