Michael S. Pritchard

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 12

Top Topics

Statistical Distributions

Probabilistic Approaches

Machine Learning

Top Venues

Sci. Eng. Ethics

Publications

Chenggong Wang, Michael S. Pritchard, Noah D. Brenowitz, Yair Cohen, Boris Bonev, Thorsten Kurth, Dale R. Durran, Jaideep Pathak
Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model. CoRR (2024)
Noah D. Brenowitz, Yair Cohen, Jaideep Pathak, Ankur Mahesh, Boris Bonev, Thorsten Kurth, Dale R. Durran, Peter Harrington, Michael S. Pritchard
A Practical Probabilistic Benchmark for AI Weather Models. CoRR (2024)
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
Understanding and Visualizing Droplet Distributions in Simulations of Shallow Clouds. CoRR (2023)
Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine
Multi-fidelity climate model parameterization for better generalization and extrapolation. CoRR (2023)
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
ACE: A fast, skillful learned global atmospheric model for climate prediction. CoRR (2023)
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
Climate-Invariant Machine Learning. CoRR (2021)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS (2020)
Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp
Towards Physically-consistent, Data-driven Models of Convection. CoRR (2020)
Griffin Mooers, Jens Tuyls, Stephan Mandt, Michael S. Pritchard, Tom Beucler
Generative Modeling for Atmospheric Convection. CoRR (2020)
Tom Beucler, Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR (2019)
Stephan Rasp, Michael S. Pritchard, Pierre Gentine
Deep learning to represent sub-grid processes in climate models. CoRR (2018)
Rachelle D. Hollander, Michael Davis, Deni Elliott, Michael S. Pritchard
Remembering Vivian Weil. Sci. Eng. Ethics 23 (3) (2017)
Richard A. Burgess, Michael Davis, Marilyn A. Dyrud, Joseph R. Herkert, Rachelle D. Hollander, Lisa H. Newton, Michael S. Pritchard, P. Aarne Vesilind
Engineering Ethics: Looking Back, Looking Forward. Sci. Eng. Ethics 19 (3) (2013)
Michael S. Pritchard
Moral Machines? Sci. Eng. Ethics 18 (2) (2012)