Brunner, L., & Voigt, A. (2024). Pitfalls in diagnosing temperature extremes. Nature Communications, 15(1), [2087]. https://doi.org/10.1038/s41467-024-46349-x

Merrifield, A. L., Brunner, L., Lorenz, R., Humphrey, V., & Knutti, R. (2023). Climate model Selection by Independence, Performance, and Spread (ClimSIPS v1.0.1) for regional applications. Geoscientific Model Development, 16(16), 4715-4747. https://doi.org/10.5194/gmd-16-4715-2023

Palmer, T. E., Mcsweeney, C. F., Booth, B. B. B., Priestley, M. D. K., Davini, P., Brunner, L., Borchert, L., & Menary, M. B. (2023). Performance-based sub-selection of CMIP6 models for impact assessments in Europe. Earth System Dynamics, 14(2), 457-483. https://doi.org/10.5194/esd-14-457-2023

Brunner, L., & Sippel, S. (2023). Identifying climate models based on their daily output using machine learning. Environmental Data Science, 2, [e22]. https://doi.org/10.1017/eds.2023.23

Gründemann, G., van de Giesen, N., Brunner, L., & van der Ent, R. (2022). Rarest rainfall events will see the greatest relative increase in magnitude under future climate change. Communications Earth & Environment, 3(1), [235]. https://doi.org/10.1038/s43247-022-00558-8

Befort, D., Brunner, L., Bochert, L., O'Reilly, C., Mignot, J., Ballinger, A., Hegerl, G., Murphy, J., & Weisheimer, A. (2022). Combination of Decadal Predictions and Climate Projections in Time: Challenges and Potential Solutions. Geophysical Research Letters, 49(15), [e2022GL098568]. https://doi.org/10.1029/2022GL098568