Only that day dawns to which we are awake
Walden (1854)

What do CO2 molecules and scientific publications have in common?

Their amounts are rapidly growing, and Chiem's job is to stay on top of both.

Why would anyone be
a weather and climate scientist?

We need to know what to expect.
I for instance, research opportunities to predict hot, wet and dry events further in advance.


Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam
Royal Netherlands Meteorological Institute (KNMI), de Bilt


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., 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

Research interests

Weather and climate dynamics. The processes leading to predictability on the one hand and uncertainty on the other.

Physics-based numerical weather prediction and learned models for extreme events.

Robust statistical modelling. Choices in model complexity, interpretability and verification.

Postdoc project

eXtreme events: Artificial Intelligence for Detection and Attribution (XAIDA)

PhD project

Improvement of sub-seasonal probabilistic forecasts of European high-impact weather events using machine learning techniques (IMPRINT)