Characterizing heatwaves based on land surface energy budget

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Yinglin Tian - , Tsinghua University, Helmholtz Centre for Environmental Research, Potsdam Institute for Climate Impact Research (Author)
  • Axel Kleidon - , Max Planck Institute for Biogeochemistry (Author)
  • Corey Lesk - , Columbia University, Dartmouth College (Author)
  • Sha Zhou - , Beijing Normal University (Author)
  • Xiangzhong Luo - , National University of Singapore (Author)
  • Sarosh Alam Ghausi - , Max Planck Institute for Biogeochemistry (Author)
  • Guangqian Wang - , Tsinghua University (Author)
  • Deyu Zhong - , Tsinghua University (Author)
  • Jakob Zscheischler - , Chair of Data Analytics in Hydro Sciences, Helmholtz Centre for Environmental Research (Author)

Abstract

Heat extremes pose pronounced threats to social-ecological systems and are projected to become more intense, frequent, and longer. However, the mechanisms driving heatwaves vary across heatwave types and are not yet fully understood. Here we decompose perturbations in the surface energy budget to categorize global heatwave-days into four distinct types: sunny–humid (38%), sunny-dry (26%), advective (18%), and adiabatic (18%). Notably, sunny-dry heatwave-days decrease net ecosystem carbon uptake by 0.09 gC m−2 day−1 over harvested areas, while advective heatwave-days increase the thermal stress index by 6.20 K in populated regions. In addition, from 2000 to 2020, sunny-dry heatwaves have shown the most widespread increase compared to 1979 to 1999, with 67% of terrestrial areas experiencing a doubling in their occurrence. Our findings highlight the importance of classifying heatwave-days based on their underlying mechanisms, as this can enhance our understanding of heatwaves and improve strategies for heat adaptation.

Details

Original languageEnglish
Article number617
JournalCommunications Earth and Environment
Volume5
Issue number1
Publication statusPublished - Dec 2024
Peer-reviewedYes

External IDs

ORCID /0000-0001-6045-1629/work/197321861

Keywords