Expertise

Probability forecasts and quantification of uncertainty.
Weather and climate dynamics.
Extreme events and impact on society.
Interpretability and verification of AI models.

Affiliations

2024 - now   Citadel, London, UK
2018 - 2024   Vrije Universiteit Amsterdam, NL
2018 - 2024   Royal Netherlands Meteorological Institute, de Bilt, NL

Interviews

2023   Algemeen Dagblad (newspaper)
2023   Nu.nl (newspaper)
2020   Nieuw Nederland Podcast (spotify)

Publications

Happé, T., van Straaten, C., Hamed, R., D'Andrea, F. & Coumou, D. (2025) Observed Circulation Trends in Boreal Summer Linked to Two Spatially Distinct Teleconnection Patterns. Journal of Climate, 10.1175/JCLI-D-24-0750.1

Busker, T., van den Hurk, B., de Moel, H., van den Homberg, M., van Straaten, C., Odongo, R. A., & Aerts, J. C. J. H. (2024) Predicting Food-Security Crises in the Horn of Africa Using Machine Learning. Earth's Future, 10.1029/2023EF004211

Materia, S., García, L. P., van Straaten, C., O, S., Mamalakis, A., Cavicchia, L., Coumou, D., de Luca, P., Kretschmer, M., & Donat, M. (2024) Artificial intelligence for climate prediction of extremes: State of the art, challenges, and future perspectives. WIREs Climate Change, 10.1002/wcc.914

van Straaten, C., Whan, K., Coumou, D., van den Hurk, B. & Schmeits, M. (2023) Correcting sub-seasonal forecast errors with an explainable ANN to understand misrepresented sources of predictability of European summer temperatures. Artificial Intelligence for the Earth Systems, 10.1175/AIES-D-22-0047.1

van Straaten, C., Coumou, D., Whan, K., van den Hurk, B. & Schmeits, M (2023) Strengthening gradients in the tropical west Pacific connect to European summer temperatures on sub-seasonal timescales. Weather and Climate Dynamics, 10.5194/wcd-4-887-2023

van Straaten, C., Whan, K., Coumou, D., van den Hurk, B. & Schmeits, M. (2022) Using explainable machine learning forecasts to discover sub-seasonal drivers of high summer temperatures in western and central Europe. Monthly Weather Review, 10.1175/MWR-D-21-0201.1

Tiggeloven, T., Couasnon, A., van Straaten, C., Muis, S. & Ward, P.J. (2021) Exploring deep learning capabilities for surge predictions in coastal areas. Nature Scientific Reports, 10.1038/s41598-021-96674-0

van Straaten, C., Whan, K., Coumou, D., van den Hurk, B. & Schmeits, M. (2020) The influence of aggregation and statistical post-processing on the sub-seasonal predictability of European temperatures. QJRMS, 10.1002/qj.3810

van Straaten, C., Whan, K. & Schmeits, M. (2018) Statistical postprocessing and multivariate structuring of high-resolution ensemble precipitation forecasts. Journal of Hydrometeorology, 10.1175/JHM-D-18-0105.1