Skip to main content
Increasing risk of mass human heat mortality if historical weather patterns recur

Increasing risk of mass human heat mortality if historical weather patterns recur

This is a Preprint and has not been peer reviewed.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

Add a Comment

You must log in to post a comment.


Comments

There are no comments or no comments have been made public for this article.

Downloads

Download Preprint

Authors

Christopher Callahan, Jared Trok, Andrew Wilson, Carlos Gould, Sam Heft-Neal, Noah S Diffenbaugh, Marshall Burke

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