Personal profile
Personal information
My prime research interest is understanding how global warming affects the number and intensity of extreme weather events like heat waves, heavy rainfall and persistent droughts. I use a variety of methods, including advanced statistical analyses, climate models and novel machine learning techniques, to gain new insights. I hold a second position at the Royal Netherlands Meteorological Institute (KNMI) and I coordinate Climate Data Science research between IVM and KNMI. Working with high-level stakeholders (e.g. the World Bank) ensures that my research focusses on the most relevant extremes, i.e. those with the highest risks for society. I have authored over 60 peer-reviewed publications, with several in top-ranking journals, the IPCC 5th Assessment Report, 3 World Bank reports and several book chapters. I am a Web of Science highly cited scientist which reflects that I published multiple highly-cited papers ranking in the top 1% of their field,
For the latest, please visit my groups research pages: climateextremes.eu
Expertise
Extreme weather, climate change, atmosphere dynamics, climate models, complex system analyses, causal inference in climate, predictability
Education
2003-2008: PhD in Natural Sciences, ETH-Zurich, Zurich, Switzerland
1995-2001: MSc in Geophysics, University of Utrecht, Utrecht Netherlands
Grants
- 2020 Horizon-2020, vice-coordinator Extreme Events: Artificial Intelligence for Detection ad Attribution (XAIDA), €700k
- JPI-AXIS, co-PI, Land Management for Climate Mitigation and Adaptation (LAMACLIMA), €250
- H2020, co-PI, Remote Climate Effects and their Impact on European sustainability, Policyand Trade (RECEIPT), €300k
- 2018 Horizon-2020, co-PI, Tipping Points in the Earth System (TiPES), EUR300k
- 2018 German Federal Ministry of Education and Research (BMBF), co-PI, Climate Change and Extreme Events (ClimExtreme), EUR 250k
- 2018 Netherlands Organisation for Scientific Research (NWO), co-PI, Improvement of subseasonal probabilistic forecasts of European high-impact weather events using machine learning techniques (IMPRINT), granted EUR 250k
- 2018 European Center for Medium Range Weather Forecast (ECMWF), co-PI, Operational Sectoral Information System for the Wind Storm Insurance Sector, granted EUR 50k
- 2017 Netherlands Organisation for Scientific Research (NWO), Personal VIDI-award, Persistent Summer Extremes (PERSIST), granted EUR 800k
- 2016 Belmont-JPI Climate, PI, Globally Observed Teleconnections in a Hierarchy of Atmosphere Models (GOTHAM), granted EUR 413k
- 2013 German Federal Ministry of Education and Research (BMBF), Personal Junior Research Group grant, Model- and observation-based analysis of the drivers behind variability in large-scale atmospheric circulation patterns and their influence on extreme weather events (SACRE-X), granted EUR 817k
- 2012 German Research Foundation (DFG), personal grant, Stability of atmospheric circulation patterns and its relation to extreme events, granted EUR 162k
- 2011 Climate-KIC, public outreach project on Extreme Weather and Climate Change (www.aufgeheizt.org), start-up incubator facilities (in-kind funding) + EUR 10k
- 2011 Volkswagen Foundation, PI on science outreach proposal "From a Dialogue on Extremes, to Extreme Dialogues", granted EUR 75k
Teaching
- BSc Honours course ’Climate Change’
- MSc course ’Climate Hydrological Processes’
Ancillary activities
- Beyond Weather | Utrecht | Partner | 2023-12-07 - 2026-12-31
Ancillary activities are updated daily
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 13 Climate Action
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SDG 14 Life Below Water
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Collaborations and top research areas from the last five years
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Anticipating surprises: Climate extremes in the next decade
Coumou, D., 12 May 2022, Amsterdam: Vrije Universiteit Amsterdam. 7 p.Research output: Book / Report › Inaugural speech
Open AccessFile320 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 -
Early snowmelt and polar jet dynamics co-influence recent extreme Siberian fire seasons
Scholten, R. C., Coumou, D., Luo, F. & Veraverbeke, S., 2 Dec 2022, In: Science. 378, 6623, p. 1005-1009 5 p.Research output: Contribution to Journal › Article › Academic › peer-review
Open AccessFile233 Downloads (Pure) -
The weakening summer circulation in the Northern Hemisphere mid-latitudes
Coumou, D., Lehmann, J. & Beckmann, J., 17 Apr 2015, In: Science. 348, 6232, p. 324-327 4 p.Research output: Contribution to Journal › Article › Academic › peer-review
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Accelerated western European heatwave trends linked to more-persistent double jets over Eurasia
Rousi, E., Kornhuber, K., Beobide-Arsuaga, G., Luo, F. & Coumou, D., 2022, In: Nature Communications. 13, p. 1-11 11 p., 3851.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Courses
Projects
- 1 Finished
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Persistent summer extremes
Coumou, D. (Principal Investigator), Vijverberg, S. (Project Researcher), Luo, F. (Project Researcher) & van Ingen, J. (Project Researcher)
1/09/17 → 31/08/23
Project: Research
Datasets
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Dataset of pre-industrial climate from publication "Modeled storm surge changes in a warmer world: the Last Interglacial" by P. Scussolini et al.
Scussolini, P. (Contributor), Muis, S. (Contributor), Rovere, A. (Contributor), Bakker, P. (Contributor), Coumou, D. (Contributor) & Renssen, H. (Contributor), Zenodo, 2022
DOI: 10.5281/zenodo.7457075, https://zenodo.org/record/7457075
Dataset / Software: Dataset
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Dataset of Last Interglacial climate from publication "Modeled storm surge changes in a warmer world: the Last Interglacial" by P. Scussolini et al.
Scussolini, P. (Contributor), Muis, S. (Contributor), Rovere, A. (Contributor), Bakker, P. (Contributor), Coumou, D. (Contributor) & Renssen, H. (Contributor), Zenodo, 2022
DOI: 10.5281/zenodo.7458360, https://zenodo.org/record/7458360
Dataset / Software: Dataset