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March 6, 2026Frontiers in Climate0 citationsOpen Access

The role of internal variability and external forcing on the emergence of hot and dry compound extremes in the CESM2 large ensemble

ADAlicia DwyerJHJames W. HurrellEBElizabeth A. Barnes

Key Points

  • This research aims to understand the influence of internal climate variability and external forcing on hot and dry compound extremes.
  • Utilized the Community Earth System Model 2 Large Ensemble (CESM2-LE) for analysis.
  • Examined the effects of major climate modes like ENSO, PDO, IOD, and NAO.
  • Analyzed the emergence of anthropogenic changes in compound events over time.
  • Internal climate variability significantly influences compound event occurrences.
  • External forcing is expected to alter frequency patterns of these events throughout the 21st century.
  • By 2100, most global regions will see compound event frequencies emerge from internal variability under SSP 3-7.0.

Abstract

Extreme hot and dry compound events pose significant hazards to human health, agriculture, and ecosystems, making it critical to better understand what drives their occurrence and spatiotemporal variability. Although the role of internal climate variability in driving compound events has been previously studied, we leverage a large ensemble to enable a more robust understanding of the response of hot and dry events to both large-scale internal climate variability and external forcing. We explore the influence of well-known large-scale climate modes including the El Niño Southern Oscillation (ENSO), Pacific Decadal Oscillation (PDO), Indian Ocean Dipole (IOD), and the North Atlantic Oscillation (NAO) on the occurrence of hot and dry compound events in the Community Earth System Model 2 Large Ensemble (CESM2-LE). We also investigate when anthropogenic changes in hot and dry compound events emerge from internal variability. Overall, we find that internal climate variability is, and will continue to be, a strong influence on compound event occurrence, although external forcing will likely cause changes in frequency patterns over the 21 st century. We also find that under SSP 3-7.0, frequencies of compound events in most of the world will emerge from internal variability by 2100. Knowledge of drivers from an internal variability perspective combined with an understanding of greenhouse gas forced changes can aid in quantifying the predictability of extreme compound events on regional scales.

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Cite This Study

Dwyer et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f0d531e4c4a9ff59355https://doi.org/10.3389/fclim.2026.1739394
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