Nadia Bloemendaal

Personal information

Nadia Bloemendaal has been working at the Institute for Environmental Studies (IVM) since September 2016. From 2016 - 2021 she conducted her PhD research at this institute, under the supervision of Prof. Dr. Jeroen Aerts, Dr. Hans de Moel, and Dr. Sanne Muis. Her PhD research is entitled "Weathering the Storm: tropical cyclone risk under climate change" and revolved around increasing our understanding of global-scale tropical cyclone risk in the present and future climate. The fully statistical model STORM was (one of) the direct outcome(s) of this. STORM generates 10.000 years of synthetic tropical cyclone trakcs and is thereby a valuable tool in calculating probabilities at high spatial resolution in any location prone to tropical cyclones. 

Nadia successfully defended her PhD thesis on 3 November 2021, and obtained her doctoral degree with Cum Laude distinction. She currently continues her research as a postdoctoral researcher at the IVM, with a dual affiliation with Lamont-Doherthy Earth Observatory, Columbia University, New York. 

Expertise

Tropical cyclones, risk, climate change, synthetic modeling, hazard assessments

Education

2021: PhD "Weathering the Storm: Tropical Cyclone Risk Under Climate Change", Institute for Environmental Studies, Vrije Universiteit Amsterdam obtained with Cum Laude distinction

2016: Master Meteorology, Physical Oceanography and Climate, Utrecht University, the Netherlands.

2014: Minor Geo Data Processing and Spatial Information, ITC, the Netherlands.

2014: Bachelor Applied Mathematics, University of Twente, the Netherlands.

Honors & Awards

Lloyd's Science of Risk Prize (2021): 2nd Place

Allianz Climate Risk Research Award (2020): 3rd Place

RDNL Dutch Data Prize (2020): 1st Place

Bloemendaal, N., de Moel, H., Martinez, A. B., Muis, S., Haigh, I. D., van der Wiel, K., ... & Aerts, J. C. (2022). A globally consistent local-scale assessment of future tropical cyclone risk. Science advances8(17), eabm8438.

Wood, M., Haigh, I. D., Le, Q. Q., Nguyen, H. N., Tran, H. B., Darby, S. E., ... & Bloemendaal, N. (2022). Climate-induced storminess forces major increases in future storm surge hazard in the South China Sea region. Natural Hazards and Earth System Sciences Discussions, 1-32.

de Bruijn, J. A., Daniell, J. E., Pomonis, A., Gunasekera, R., Macabuag, J., de Ruiter, M. C., Koopman, S.J., Bloemendaal, N. , de Moel, H. & Aerts, J. C. (2022). Using rapid damage observations for Bayesian updating of hurricane vulnerability functions: A case study of Hurricane Dorian using social media. International Journal of Disaster Risk Reduction72, 102839.

Bloemendaal, N. (2021). Weathering the Storm: tropical cyclone risk under climate change. Gildeprint.

Dullaart, J., Muis, S., Bloemendaal, N., Chertova, M. V., Couasnon, A., & Aerts, J. C. (2021). Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding. Communications Earth & Environment2(1), 1-11.

Bloemendaal, N., de Moel, H., Mol, J. M., Bosma, P. R., Polen, A. N., & Collins, J. M. (2021). Adequately reflecting the severity of tropical cyclones using the new Tropical Cyclone Severity Scale. Environmental Research Letters16(1), 014048.

Bloemendaal, N., De Moel, H., Muis, S., Haigh, I. D., & Aerts, J. C. (2020). Estimation of global tropical cyclone wind speed probabilities using the STORM dataset. Scientific data7(1), 1-11.

Bloemendaal, N., Haigh, I. D., de Moel, H., Muis, S., Haarsma, R. J., & Aerts, J. C. (2020). Generation of a global synthetic tropical cyclone hazard dataset using STORM. Scientific data7(1), 1-12.

Dullaart, J., Muis, S., Bloemendaal, N., & Aerts, J. C. (2020). Advancing global storm surge modelling using the new ERA5 climate reanalysis. Climate Dynamics54(1), 1007-1021.

Ward, P. J., Blauhut, V., Bloemendaal, N., Daniell, J. E., de Ruiter, M. C., Duncan, M. J., ... & Winsemius, H. C. (2020). Natural hazard risk assessments at the global scale. Natural Hazards and Earth System Sciences20(4), 1069-1096.

Bloemendaal, N., Muis, S., Haarsma, R. J., Verlaan, M., Irazoqui Apecechea, M., de Moel, H., ... & Aerts, J. C. (2019). Global modeling of tropical cyclone storm surges using high-resolution forecasts. Climate Dynamics52(7), 5031-5044.