https://egusphere.copernicus.org/preprints/2024/egusphere-2024-3526/

*Authors*
Andrew Feder, David Randall, and Donald Dazlich

*Received: 12 Nov 2024 – Discussion started: 19 Nov 2024*

*Abstract*
In recent years, as global circulation models (GCMs) have increased in
spatial resolution, increasingly realistic tropical cyclones (TCs) and TC
distributions have emerged from them. Where prior research on TC
climatologies has relied on proxies like Potential Intensity (PI) and
synthetic storm models, the cyclones emerging from the dynamics of newer
GCMs can now be analyzed directly, using native model variables.

Such direct analysis may be particularly useful in studying possible global
storm distributions under radically altered future climates, including
high-emissions warming scenarios, and even those shaped by climate
interventions. These interventions include various directed changes in
global albedo, such as Stratospheric Aerosol Injection (SAI), with only
limited precedent in the historical period. GCMs simulating realistic
climate intervention scenarios, have not as of yet paired storm-resolving
resolution with realistic intervention scenario construction. This has left
gaps in our understanding as to how interventions might affect global
storm/TC distributions.

In this paper, we utilize a new high-resolution model configuration to
conduct experiments examining the effects of SAI, on tropical cyclones and
global storm physics more broadly. These experiments are constructed based
on prior work on SAI, using the GLENS GCM ensemble. Our analysis centers on
3 10-year experiments conducted using 30-km grid spacing. These include a
recent-past calibration run; the Intergovernmental Panel on Climate Change
climate pathway SSP (IPCC, 2021), for the years 2090–2099, with no SAI; and
SSP 8.5, with SAI having begun in 2020 to maintain a global temperature
rise of no more than 1.5 °C, also simulated for the years 2090–2099. With
the resulting data sets, we deploy a novel TC-tracking algorithm to analyze
resulting changes in storm tracks and properties. Based on our results for
these different scenarios, we find that SAI, while in some ways restoring
global storm patterns to a pre-warming state, may also create unique
basin-scale TC distribution features and pose novel related hazards.

*Citations*: Feder, A., Randall, D., and Dazlich, D.: Effects of Warming
and Stratospheric Aerosol Injection on Tropical Cyclone Distribution and
Frequency in a High-Resolution Global Circulation Model, EGUsphere
[preprint], https://doi.org/10.5194/egusphere-2024-3526, 2024.

*Source: EGUsphere*

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