Selective monotonicity preservation in scalar advection. - Peter N. Blossey; Dale R. Durran (J. Comput. Phys., 2008)

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere. - Jonathan A. Weyn; Dale R. Durran; Rich Caruana (CoRR, 2020)

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models. - Jonathan A. Weyn; Dale R. Durran; Rich Caruana; Nathaniel Cresswell-Clay (CoRR, 2021)

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh. - Matthias Karlbauer; Nathaniel Cresswell-Clay; Raul A. Moreno; Dale R. Durran; Thorsten Kurth; Martin V. Butz (CoRR, 2023)

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)

DiffObs: Generative Diffusion for Global Forecasting of Satellite Observations. - Jason Stock; Jaideep Pathak; Yair Cohen; Mike Pritchard; Piyush Garg; Dale R. Durran; Morteza Mardani; Noah D. Brenowitz (CoRR, 2024)

Coupled Ocean-Atmosphere Dynamics in a Machine Learning Earth System Model. - Chenggong Wang; Michael S. Pritchard; Noah D. Brenowitz; Yair Cohen; Boris Bonev; Thorsten Kurth; Dale R. Durran; Jaideep Pathak (CoRR, 2024)

Kilometer-Scale Convection Allowing Model Emulation using Generative Diffusion Modeling. - 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 (CoRR, 2024)