Contact:
- Predictability
- Convection
- Mid-latitude weather
- Local weather
2019-now: PhD-candidate Institute of Atmospheric Physics, Johannes Gutenberg University, Mainz
2018-2019: Internship/MSc thesis, Royal Netherlands Meteorological Institute (extensive report: http://bibliotheek.knmi.nl/knmipubIR/IR2019-03.pdf)
2017-2019: MSc Climate Physics, Utrecht University
2014-2017: BSc Soil, Water & Atmosphere, Wageningen University & Research
2011-now: Voluntary editor of “Weerspiegel” magazine published by Vereniging voor Weerkunde en Klimatologie (Dutch Association for Weather Enthusiasts, VWK) and volunteer
Waves to weather (W2W) - https://www.wavestoweather.de/
W2W project A1 - https://www.wavestoweather.de/research_areas/phase2/a1/index.html
VWK - https://www.vwkweb.nl/ (in Dutch)
WOW - https://wow.knmi.nl/ / https://wow.metoffice.gov.uk/
Crowd sourcing of lightning discharges - https://www.lightningmaps.org/
Atmospheric dynamics maps - http://www1.wetter3.de/ (in German)
KNMI Guidance for NL (and North Sea) - https://knmi.nl/nederland-nu/weer/waarschuwingen-en-verwachtingen/extra/guidance-modelbeoordeling (in Dutch/for NL)
KNMI plume probabilities in classes for De Bilt - http://projects.knmi.nl/exp/pluim/kansverwachtingen_staafdiagram.php (in Dutch)
Groot, E., Schmeits, M. and Whan, K.: Machine learning voor de kansverwachting can (zwaar) onweer, Meteorologica, Maart, 2020, page 10-15 (in Dutch)
Groot, E. and Tost, H.: Analysis of variability in divergence and turn-over induced by three idealized convective systems with a 3D cloud resolving model, Atmos. Chem. Phys. Discuss. [preprint], https://doi.org/10.5194/acp-2020-1142, 2020.