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Michael S. Pritchard
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2020 – today
- 2024
- [i15]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) - [i14]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) - [i13]Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard:
Huge Ensembles Part II: Properties of a Huge Ensemble of Hindcasts Generated with Spherical Fourier Neural Operators. CoRR abs/2408.01581 (2024) - [i12]Ankur Mahesh, William D. Collins, Boris Bonev, Noah D. Brenowitz, Yair Cohen, Joshua Elms, Peter Harrington, Karthik Kashinath, Thorsten Kurth, Joshua North, Travis A. O'Brien, Michael S. Pritchard, David Pruitt, Mark Risser, Shashank Subramanian, Jared Willard:
Huge Ensembles Part I: Design of Ensemble Weather Forecasts using Spherical Fourier Neural Operators. CoRR abs/2408.03100 (2024) - [i11]Jaideep Pathak, Yair Cohen, Piyush Garg, Peter Harrington, Noah D. Brenowitz, Dale R. Durran, Morteza Mardani, Arash Vahdat, Shaoming Xu, Karthik Kashinath, Michael S. Pritchard:
Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling. CoRR abs/2408.10958 (2024) - [i10]Kushagra Pandey, Jaideep Pathak, Yilun Xu, Stephan Mandt, Michael S. Pritchard, Arash Vahdat, Morteza Mardani:
Heavy-Tailed Diffusion Models. CoRR abs/2410.14171 (2024) - [i9]Stathi Fotiadis, Noah D. Brenowitz, Tomas Geffner, Yair Cohen, Michael S. Pritchard, Arash Vahdat, Morteza Mardani:
Stochastic Flow Matching for Resolving Small-Scale Physics. CoRR abs/2410.19814 (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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last updated on 2024-11-30 00:17 CET by the dblp team
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