Research output per year
Research output per year
Personal profile
Personal information
Chiem van Straaten was educated in economics and hydrology at Vrije Universiteit Amsterdam and Utrecht University, He transitioned into atmospheric science by the end of his master’s degree as he worked at the KNMI on quantitative ensemble precipitation forecasts. Currently, he is finishing a PhD in the long range forecasting of European weather. Such long range forecasts require an understanding of drivers of predictable extreme events. Chiem uses statistical tools to quantify these driving mechanisms and applies corrections to numerical weather model outputs when the mechanisms are incorrectly resolved.
Ancillary activities
No ancillary activities
Ancillary activities are updated daily
Academic qualification
Physical Geography, Junior Researcher, Universiteit Utrecht
2017 → 2018
Earth Surface and Water, Master, Universiteit Utrecht
2015 → 2017
Earth Sciences and Economics, Bachelor, Vrije Universiteit Amsterdam
2012 → 2015
User created Keywords
- Mid latitude weather
- Ensemble forecasting
- Statistical post-processing
- Weather & climate models
- Long term forecasts
- Statistical learning tools
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Collaborations and top research areas from the last five years
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Correcting sub-seasonal forecast errors with an explainable ANN to understand misrepresented sources of predictability of European summer temperatures
Van straaten, C., Whan, K., Coumou, D., Van den hurk, B. & Schmeits, M., 19 Apr 2023, (E-pub ahead of print) In: Artificial Intelligence for the Earth Systems. p. 1-49Research output: Contribution to Journal › Article › Academic › peer-review
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Machine Learning to improve and understand sub-seasonal forecasts of European temperature
van Straaten, J. W., 20 Nov 2023, 181 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile180 Downloads (Pure) -
Using Explainable Machine Learning Forecasts to Discover Subseasonal Drivers of High Summer Temperatures in Western and Central Europe
van Straaten, C., Whan, K., Coumou, D., van den Hurk, B. & Schmeits, M., 20 May 2022, In: Monthly Weather Review. 150, 5, p. 1115–1134 20 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Exploring deep learning capabilities for surge predictions in coastal areas
Tiggeloven, T., Couasnon, A., van Straaten, C., Muis, S. & Ward, P. J., Dec 2021, In: Scientific Reports. 11, 1, p. 1-15 15 p., 17224.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
The influence of aggregation and statistical post-processing on the subseasonal predictability of European temperatures
van Straaten, C., Whan, K., Coumou, D., van den Hurk, B. & Schmeits, M., Jul 2020, In: Quarterly Journal of the Royal Meteorological Society. 146, 731, p. 2654-2670Research output: Contribution to Journal › Article › Academic › peer-review
Open Access