Michael S. Pritchard

According to our database, Michael S. Pritchard authored at least 12 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A Practical Probabilistic Benchmark for AI Weather Models.

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

CoRR, 2024

2023

Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds.

Justus C. Will, Andrea M. Jenney, Kara D. Lamb, Michael S. Pritchard, Colleen Kaul, Po-Lun Ma, Kyle Pressel, Jacob Shpund, Marcus van Lier-Walqui, Stephan Mandt

CoRR, 2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton

CoRR, 2023

Multi-fidelity climate model parameterization for better generalization and extrapolation.

Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine

CoRR, 2023

2021

Climate-Invariant Machine Learning.

Tom Beucler, Michael S. Pritchard, Janni Yuval, Ankitesh Gupta, Liran Peng, Stephan Rasp, Fiaz Ahmed, Paul A. O'Gorman, J. David Neelin, Nicholas J. Lutsko, Pierre Gentine

CoRR, 2021

2020

Generative Modeling for Atmospheric Convection.

Griffin Mooers, Jens Tuyls, Stephan Mandt, Michael S. Pritchard, Tom Beucler

CoRR, 2020

Towards Physically-Consistent, Data-Driven Models of Convection.

Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling.

Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine

CoRR, 2019

2018

Deep learning to represent sub-grid processes in climate models.

Stephan Rasp, Michael S. Pritchard, Pierre Gentine

CoRR, 2018

2017

Remembering Vivian Weil.

Rachelle D. Hollander, Michael Davis, Deni Elliott, Michael S. Pritchard

Sci. Eng. Ethics, 2017

2013

Engineering Ethics: Looking Back, Looking Forward.

Richard A. Burgess, Michael Davis, Marilyn A. Dyrud, Joseph R. Herkert, Rachelle D. Hollander, Lisa H. Newton, Michael S. Pritchard, P. Aarne Vesilind

Sci. Eng. Ethics, 2013

2012

Moral Machines?

Michael S. Pritchard

Sci. Eng. Ethics, 2012