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March 10, 2026Journal of Geophysical Research Atmospheres0 citationsOpen Access

Effects of Warming and Stratospheric Aerosol Injection on Tropical Cyclone Distribution and Frequency: Results From a High‐Resolution Global Circulation Model

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AFAndrew FederColorado State UniversityDRDavid RandallUniversity of South AustraliaDDD. A. DazlichColorado State University

Key Points

  • To examine how warming and stratospheric aerosol injection influence tropical cyclone distribution and frequency.
  • Conducted three uncoupled 10-year simulations using a high-resolution global circulation model.
  • Simulated recent past climate for calibration, and future scenarios based on Shared Socioeconomic Pathway (SSP) 5-8.5.
  • Utilized a novel tropical cyclone tracking scheme to assess storm tracks and properties.
  • SAI may revert global storm counts to late 20th-century levels.
  • Significant basin-level variations in storm number and intensity were observed across simulations.
  • Changes in storm dynamics are likely associated with increased mean ENSO indices under warming conditions.

Abstract

Abstract As global circulation models (GCMs) have increased in spatial resolution, more realistic tropical cyclones (TCs) and TC distributions have been simulated. Whereas prior research on TC climatologies has relied on proxies like Potential Intensity and synthetic storm models, the cyclones simulated by newer TC‐resolving GCMs can now be analyzed directly. This is particularly useful for studying projected global storm distributions under radically altered future climates, including high‐emissions warming scenarios, and those shaped by climate interventions. In this paper, we utilize a high‐resolution model configuration to conduct experiments examining the effects of Stratospheric Aerosol Injection (SAI) on tropical cyclones. These experiments are constructed based on prior work on SAI, using the Geoengineering Large Ensemble Project (GLENS) ensemble. Our analysis focuses on three uncoupled 10‐year simulations conducted using 30‐km grid spacing and forced with modeled sea surface temperatures from earlier work. The first is a recent‐past calibration run. The second simulates the Shared Socioeconomic Pathway (SSP) 5–8.5, for the years 2090–2099, with no SAI. The third simulation also uses SSP 5–8.5 for the years 2090–2099, but with SAI keeping global temperature rise at no more than 1.5 K. We use a novel TC tracking scheme to analyze resulting changes in storm tracks and properties. Our results show that while SAI may return global storm counts back to late 20th‐century levels, there are still large basin‐by‐basin changes in storm number and intensity. These are likely driven by increases in mean ENSO indices that occur with warming, but seemingly also with intervention.

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Cite This Study

Feder et al. (2026) studied this question.

synapsesocial.com/papers/69af94e870916d39fea4bfbdhttps://doi.org/10.1029/2025jd045028
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