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Michael S. Pritchard
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2020 – today
- 2024
- [i10]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 abs/2401.15305 (2024) - [i9]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 abs/2406.08632 (2024) - 2023
- [i8]Mohamed Aziz Bhouri, Liran Peng, Michael S. Pritchard, Pierre Gentine:
Multi-fidelity climate model parameterization for better generalization and extrapolation. CoRR abs/2309.10231 (2023) - [i7]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 abs/2310.02074 (2023) - [i6]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 abs/2310.20168 (2023) - 2021
- [i5]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 abs/2112.08440 (2021) - 2020
- [c1]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-Consistent, Data-Driven Models of Convection. IGARSS 2020: 3987-3990 - [i4]Tom Beucler, Michael S. Pritchard, Pierre Gentine, Stephan Rasp:
Towards Physically-consistent, Data-driven Models of Convection. CoRR abs/2002.08525 (2020) - [i3]Griffin Mooers, Jens Tuyls, Stephan Mandt, Michael S. Pritchard, Tom Beucler:
Generative Modeling for Atmospheric Convection. CoRR abs/2007.01444 (2020)
2010 – 2019
- 2019
- [i2]Tom Beucler
, Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling. CoRR abs/1906.06622 (2019) - 2018
- [i1]Stephan Rasp, Michael S. Pritchard, Pierre Gentine:
Deep learning to represent sub-grid processes in climate models. CoRR abs/1806.04731 (2018) - 2017
- [j3]Rachelle D. Hollander, Michael Davis, Deni Elliott, Michael S. Pritchard:
Remembering Vivian Weil. Sci. Eng. Ethics 23(3): 637-651 (2017) - 2013
- [j2]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): 1395-1404 (2013) - 2012
- [j1]Michael S. Pritchard:
Moral Machines? Sci. Eng. Ethics 18(2): 411-417 (2012)
Coauthor Index
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