2022
DOI: 10.1029/2021gl097157
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Model Spread in the Tropical Cyclone Frequency and Seed Propensity Index Across Global Warming and ENSO‐Like Perturbations

Abstract: The future projection of tropical cyclone frequency is highly uncertain. Recent multi‐model studies showed that the model spread in tropical cyclones is correlated with the model spread in seeds, which are defined as convective weak vortices. However, it was unclear how the model spread is related to the large‐scale circulation. Here we apply a downscaling theory recently developed using aquaplanet experiments to explain the seed frequency across four global atmospheric models having different parameterization… Show more

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Cited by 13 publications
(20 citation statements)
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References 36 publications
(94 reference statements)
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“…Similarly, Emanuel (2022) argued that the climatological TC frequency is controlled more by the environmental conditions of the basin in which the TC forms rather than the frequency of TC seeds. Despite this, other studies have shown that frequency of TC seeds strongly influences TC frequency (Hsieh et al., 2022), although this relationship could depend on the definition of “seeds” and the time scale considered.…”
Section: Introductionmentioning
confidence: 92%
“…Similarly, Emanuel (2022) argued that the climatological TC frequency is controlled more by the environmental conditions of the basin in which the TC forms rather than the frequency of TC seeds. Despite this, other studies have shown that frequency of TC seeds strongly influences TC frequency (Hsieh et al., 2022), although this relationship could depend on the definition of “seeds” and the time scale considered.…”
Section: Introductionmentioning
confidence: 92%
“…Building on previous TC seed research (Hsieh et al., 2020; Yang et al., 2021), Hsieh et al. (2022) examined GCM experiments and found that seed frequency strongly influences TC frequency across climate perturbations. Similar to Vecchi et al.…”
Section: Introductionmentioning
confidence: 99%
“…(2020) and Hsieh et al. (2022), Sugi et al. (2020) used high resolution GCM data to examine future changes in TC and TC seed frequency.…”
Section: Introductionmentioning
confidence: 99%
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