Combining crowd-sourcing and deep learning to understand meso-scale organization of shallow convection. - Stephan Rasp 001; Hauke Schulz; Sandrine Bony; Bjorn Stevens (CoRR, 2019)

Deep learning and process understanding for data-driven Earth system science. - Markus Reichstein; Gustau Camps-Valls; Bjorn Stevens; Martin Jung 002; Joachim Denzler; Nuno Carvalhais; Prabhat (Nat., 2019)

Visualization of Climate Science Simulation Data. - Niklas Röber; Michael Böttinger; Bjorn Stevens; Amit Agrawal; Francesca Samsel (IEEE Computer Graphics and Applications, 2021)

Earth Virtualization Engines: A Technical Perspective. - Torsten Hoefler; Bjorn Stevens; Andreas F. Prein; Johanna Baehr 002; Thomas C. Schulthess; Thomas F. Stocker; John A. Taylor; Daniel Klocke; Pekka Manninen; Piers M. Forster; Tobias Kölling; Nicolas Gruber; et al. (Comput. Sci. Eng., 2023)

Digital twins of Earth and the computing challenge of human interaction. - Peter Bauer; Torsten Hoefler; Bjorn Stevens; Wilco Hazeleger (Nat. Comput. Sci., 2024)