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ORCIDDale R. Durran
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2020 – today
- 2024
[i6]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)- [i5]Jason Stock, Jaideep Pathak, Yair Cohen, Mike Pritchard, Piyush Garg, Dale R. Durran, Morteza Mardani, Noah D. Brenowitz:
DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. CoRR abs/2404.06517 (2024) - [i4]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
- [i3]Matthias Karlbauer, Nathaniel Cresswell-Clay, Raul A. Moreno, Dale R. Durran, Thorsten Kurth, Martin V. Butz:
Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. CoRR abs/2311.06253 (2023) - 2021
- [i2]Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell-Clay:
Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models. CoRR abs/2102.05107 (2021) - 2020
- [i1]Jonathan A. Weyn, Dale R. Durran
, Rich Caruana:
Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere. CoRR abs/2003.11927 (2020)
2000 – 2009
- 2008
- [j1]Peter N. Blossey, Dale R. Durran:
Selective monotonicity preservation in scalar advection. J. Comput. Phys. 227(10): 5160-5183 (2008)
Coauthor Index
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