This is a Preprint and has not been peer reviewed. This is version 2 of this Preprint.

Increasing risk of mass human heat mortality if historical weather patterns recur
Downloads
Authors
Abstract
The potential death toll of severe extreme heat events is crucial for climate risk analysis and adaptation planning but may not be captured by existing projections. We estimate this quantity for Europe using machine learning to calculate the intensity of historical heat waves if they occur at present or future global temperatures, combined with empirical exposure-response functions to quantify the resulting mortality. Each event is projected to generate tens of thousands of excess deaths. If August 2003 meteorological conditions recur at the current global temperature anomaly of 1.5 °C, we project 17,800 excess deaths across Europe in one week, rising to 32,000 at 3 °C. This mortality is comparable to peak COVID-19 mortality in Europe and is not substantially reduced by ongoing climate adaptation. Our results suggest that while mitigating further global warming can reduce heat mortality, mass mortality events remain plausible at near-future temperatures despite current adaptations to heat.
DOI
https://doi.org/10.31223/X5DM8C
Subjects
Physical Sciences and Mathematics
Keywords
Climate Science, extreme heat, climate and health
Dates
Published: 2025-01-14 11:12
Last Updated: 2025-06-10 06:50
Older Versions
License
CC BY Attribution 4.0 International
Additional Metadata
Conflict of interest statement:
None
There are no comments or no comments have been made public for this article.