Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.1029/2024JD041986 |
| Document | Shareable Link |
| Title (Primary) | Fingerprint-based attribution and constrained projection of global risk of daily compound hot extremes |
| Author | Li, L.; Gu, X.; Guan, Y.; Gulakhmadov, A.; Slater, L.J.; Li, X.; Wang, L.; Ashrafi, K.; Tang, X.; Kong, D.; Zhang, X. |
| Source Titel | Journal of Geophysical Research-Atmospheres |
| Year | 2025 |
| Department | RS |
| Volume | 130 |
| Issue | 13 |
| Page From | e2024JD041986 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Data and Software links | https://doi.org/10.6084/m9.figshare.28623032 |
| Supplements | https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2024JD041986&file=2024JD041986-sup-0001-Supporting+Information+SI-S01.docx |
| Keywords | compound hot extremes; optimal fingerprint method; constrained projections; population exposure |
| Abstract | Compound hot extremes (CHEs)—the concurrence of daytime and nighttime heat—have been increasing under anthropogenic warming, causing serious damage to human society and ecosystems. However, the anthropogenic fingerprint in past and future changes in daily CHEs and the corresponding population exposure remain unclear. Here, using a fingerprint-based detection and attribution method, we quantify contributions of different external forcings to the historical increase in CHEs by defining three daily scale metrics: the probability ratio (PR) of CHEs and the proportion of CHEs in the number of extreme hot days/nights (PTday/PTnight). All three metrics increased significantly by 117.9%, 128.7%, and 133.4% globally from 1950 to 2014. It is very likely (>90%) for human to leave fingerprints in increasing daily CHEs. The increases in PR, PTday, and PTnight that are attributable to greenhouse gas emissions are 121.2%, 123.1%, and 121.5%, respectively. By the end of the 21st century under a high-emission scenario, fingerprint-constrained projections show the PR of CHEs will be about 60 times higher than the climatological period, with around 41% of hot days and 49% of hot nights as CHEs, reducing the magnitude compared to raw projections. In some regions such as mid and high-latitudes, almost all daytime or nighttime extreme-heat events would become CHEs. The growing difference between CHE days per person and per unit of land area suggests that CHEs will disproportionately affect densely populated areas. Our results indicate that adaptive measures are required to alleviate the increasing proportion of CHEs and the disproportionate population exposure in densely populated areas. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=31038 |
| Li, L., Gu, X., Guan, Y., Gulakhmadov, A., Slater, L.J., Li, X., Wang, L., Ashrafi, K., Tang, X., Kong, D., Zhang, X. (2025): Fingerprint-based attribution and constrained projection of global risk of daily compound hot extremes J. Geophys. Res.-Atmos. 130 (13), e2024JD041986 10.1029/2024JD041986 |
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