Accessibility navigation


On the realism of tropical cyclone intensification in global storm-resolving climate models

Baker, A. J. ORCID: https://orcid.org/0000-0003-2697-1350, Vannière, B. ORCID: https://orcid.org/0000-0001-8600-400X and Vidale, P. L. ORCID: https://orcid.org/0000-0002-1800-8460 (2024) On the realism of tropical cyclone intensification in global storm-resolving climate models. Geophysical Research Letters, 51 (17). e2024GL109841. ISSN 0094-8276

[img]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.

7MB
[img] Text - Accepted Version
· Restricted to Repository staff only

1MB

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

To link to this item DOI: 10.1029/2024GL109841

Abstract/Summary

The physical processes governing a tropical cyclone's lifecycle are largely understood, but key processes occur at scales below those resolved by global climate models. Increased resolution may help simulate realistic tropical cyclone intensification. We examined fully coupled, global storm-resolving models run at resolutions in the range 28–2.8 km in the atmosphere and 28–5 km in the ocean. Simulated tropical cyclone activity, peak intensity, intensification rate, and horizontal wind structure are all more realistic at a resolution of ∼5 km compared with coarser resolutions. Rapid intensification, which is absent at typical climate model resolutions, is also captured, and exhibits sensitivity to how, and if, deep convection is parameterized. Additionally, the observed decrease in inner-core horizontal size with increasing intensification rate is captured at storm-resolving resolution. These findings highlight the importance of global storm-resolving models for quantifying risk and understanding the role of intense tropical cyclones in the climate system.

Item Type:Article
Refereed:Yes
Divisions:Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
ID Code:117918
Publisher:American Geophysical Union

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation