Jeremy McGibbon

According to our database, Jeremy McGibbon authored at least 4 papers between 2022 and 2023.

Collaborative distances:

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

2023

Probabilistic Precipitation Downscaling with Optical Flow-Guided Diffusion.

Prakhar Srivastava, Ruihan Yang, Gavin Kerrigan, Gideon Dresdner, Jeremy McGibbon, Christopher S. Bretherton, Stephan Mandt

CoRR, 2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

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

CoRR, 2023

2022

Machine-learned climate model corrections from a global storm-resolving model.

Anna Kwa, Spencer K. Clark, Brian Henn, Noah D. Brenowitz, Jeremy McGibbon, W. Andre Perkins, Oliver Watt-Meyer, Lucas Harris, Christopher S. Bretherton

CoRR, 2022

Productive Performance Engineering for Weather and Climate Modeling with Python.

Tal Ben-Nun, Linus Groner, Florian Deconinck, Tobias Wicky, Eddie Davis, Johann Dahm, Oliver Elbert, Rhea George, Jeremy McGibbon, Lukas Trümper, Elynn Wu, Oliver Fuhrer, Thomas C. Schulthess, Torsten Hoefler

Proceedings of the SC22: International Conference for High Performance Computing, 2022