Dale R. Durran

According to our database, Dale R. Durran authored at least 10 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Demystifying Data-Driven Probabilistic Medium-Range Weather Forecasting.

Jean Kossaifi, Nikola B. Kovachki, Morteza Mardani, Daniel V. Leibovici, Suman Ravuri, Ira Shokar, Edoardo Calvello, Mohammad Shoaib Abbas, Peter Harrington, Ashay Subramaniam, Noah D. Brenowitz, Boris Bonev, Wonmin Byeon, Karsten Kreis, Dale R. Durran, Arash Vahdat, Mike Pritchard, Jan Kautz

CoRR, January, 2026

2025

Long-Range Distillation: Distilling 10,000 Years of Simulated Climate into Long Timestep AI Weather Models.

Scott A. Martin, Noah D. Brenowitz, Dale R. Durran, Michael S. Pritchard

CoRR, December, 2025

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

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

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

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

2023

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

2021

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

2020

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

2008

Selective monotonicity preservation in scalar advection.

Peter N. Blossey, Dale R. Durran

J. Comput. Phys., 2008