EMS Annual Meeting Abstracts
Vol. 23, EMS2026-678, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-678
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Wednesday, 09 Sep, 15:15–15:30 (CEST)| Room Quest
How well can a model capture human thermal sensation? Bridging high-resolution simulations with thermal walks
Jan Geletic1, Veronika Kvetonova1, Marek Brabec1, Michal Lehnert2, Martin Bures1, Vaclav Sipek3, Peter J. Crank4, and Jaroslav Resler1
Jan Geletic et al.
  • 1Institute of Computer Science of the Czech Academy of Sciences, Department of Complex Systems, Prague, Czech Republic (geletic@cs.cas.cz)
  • 2Department of Geography, Faculty of Science, Palacky University Olomouc, Czech Republic
  • 3Institute of Hydrology of the Czech Academy of Sciences, Prague, Czech Republic
  • 4Department of Geography and Environmental Management, Faculty of Environment, University of Waterloo, Canada

Outdoor thermal comfort is one of the key factors affecting human well-being and health in urban environments. Despite threatening billions worldwide, urban heat remains difficult to mitigate effectively. Cities struggle to pinpoint intervention priorities at the pedestrian scale where thermal stress is most acutely experienced. Furthermore, how people perceive and cope with heat extends far beyond thermal exposure; psychological and behavioural responses play a crucial yet often overlooked role. Meanwhile, the variables driving thermal stress remain highly variable at the microscale, falling well below the resolution of conventional monitoring networks and weather-based warning systems. This study presents an integrated approach coupling high-fidelity PALM simulations (1-metre/1-minute resolution) with thermal walks (n = 3,666 georeferenced thermal sensation votes, TSV), applied to Prague-Holešovice (Czech Republic) on a hot summer day. By directly linking human thermal perception with modelling outputs, we assess which variables best explain what people actually experience outdoors and whether a model can reflect human thermal sensation. Our results identify modelled Mean Radiant Temperature (MRT) as the dominant predictor of TSV, exhibiting the highest spatiotemporal variability across the study area, with UTCI showing a similarly significant relationship owing to its strong dependence on MRT. In contrast, air temperature showed minimal spatial variation (≤ 0.3 °C within streets) and substantially lower predictive power, with direct implications for urban warning systems that continue to rely predominantly on air temperature. Distinct spatial patterns were evident at street level. The northern sides of east–west-oriented unshaded streets were systematic thermal hotspots. Mature street trees reduced reported severe thermal discomfort by more than half. Open impervious surfaces amplified heat stress to levels matching the worst street conditions, yet accessible green spaces just tens of metres away offered substantial thermal refuges. The findings highlight radiation exposure as the priority target for urban heat adaptation, with microscale precision as the standard for directing interventions. This approach enables cities to communicate heat risk effectively and act where it matters most.

How to cite: Geletic, J., Kvetonova, V., Brabec, M., Lehnert, M., Bures, M., Sipek, V., Crank, P. J., and Resler, J.: How well can a model capture human thermal sensation? Bridging high-resolution simulations with thermal walks, EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-678, https://doi.org/10.5194/ems2026-678, 2026.