GCM-Filters: A Python Package for Diffusion-based Spatial Filtering of Gridded Data. - Nora Loose; Ryan Abernathey; Ian G. Grooms; Julius Busecke; Arthur Guillaumin; Elizabeth Yankovsky; Gustavo Marques; Jacob Steinberg; Andrew Slavin Ross; Hemant Khatri; Scott Bachman; Laure Zanna; et al. (J. Open Source Softw., 2022)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

ChaosBench: A Multi-Channel, Physics-Based Benchmark for Subseasonal-to-Seasonal Climate Prediction. - Juan Nathaniel; Yongquan Qu; Tung Nguyen; Sungduk Yu; Julius Busecke; Aditya Grover; Pierre Gentine (NeurIPS, 2024)

Samudra: An AI Global Ocean Emulator for Climate. - Surya Dheeshjith; Adam Subel; Alistair Adcroft; Julius Busecke; Carlos Fernandez-Granda; Shubham Gupta; Laure Zanna (CoRR, 2024)