Will Artificial Intelligence supersede Earth System and Climate Models? - Christopher Irrgang; Niklas Boers; Maike Sonnewald; Elizabeth A. Barnes; Christopher Kadow; Joanna Staneva; Jan Saynisch-Wagner (CoRR, 2021)

Towards neural Earth system modelling by integrating artificial intelligence in Earth system science. - Christopher Irrgang; Niklas Boers; Maike Sonnewald; Elizabeth A. Barnes; Christopher Kadow; Joanna Staneva; Jan Saynisch-Wagner (Nat. Mach. Intell., 2021)

Analysis, Characterization, Prediction and Attribution of Extreme Atmospheric Events with Machine Learning: a Review. - Sancho Salcedo-Sanz; Jorge Pérez-Aracil; Guido Ascenso; Javier Del Ser; David Casillas-Pérez; Christopher Kadow; Dusan Fister; David Barriopedro; Ricardo García-Herrera; Marcello Restelli; Matteo Giuliani; Andrea Castelletti (CoRR, 2022)

Latent Diffusion Model for Generating Ensembles of Climate Simulations. - Johannes Meuer; Maximilian Witte; Tobias Sebastian Finn; Claudia Timmreck; Thomas Ludwig 002; Christopher Kadow (CoRR, 2024)

Dynamic deep learning based super-resolution for the shallow water equations. - Maximilian Witte; Fabricio Rodrigues Lapolli; Philip Freese; Sebastian Götschel; Daniel Ruprecht; Peter Korn; Christopher Kadow (Mach. Learn. Sci. Technol., 2025)