Why do the maximum intensities in modeled tropical cyclones vary under the same environmental conditions?

[thumbnail of Open Access]
Preview
Text (Open Access) - Published Version
· Available under License Creative Commons Attribution.
· Please see our End User Agreement before downloading.
| Preview
Available under license: Creative Commons Attribution
[thumbnail of 2019GL085980R_Merged_PDF(1).pdf]
Text - Accepted Version
· Restricted to Repository staff only
Restricted to Repository staff only

Please see our End User Agreement.

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

Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Tao, D., Bell, M., Rotunno, R. and Van Leeuwen, P. J. (2020) Why do the maximum intensities in modeled tropical cyclones vary under the same environmental conditions? Geophysical Research Letters, 47 (3). e2019GL085980. ISSN 0094-8276 doi: 10.1029/2019GL085980

Abstract/Summary

In this study w e explored why the different initial tropical cyclone structures can result in different steady‐state maximum intensities in model simulations with the same environmental conditions. We discovered a linear relationsh ip between the radius of maximum wind (rm) and the absolute angular momentum that passes through rm (Mm) in the model simulated steady‐state tropical cyclones that rm = aMm+b. This nonnegligible intercept b is found to be the key to making a steady‐state storm with a larger Mm more intense. The sensitivity experiments show that this nonzero b results mainly from horizontal turbulent mixing and decreases with decreased horizontal mixing. Using this linear relationship from the simulations, it is also found that the degree of supergradient wind is a function of Mm as well as the turbulent mixing length such that both a larger Mm and/or a reduced turbulent mixing length result in larger supergradient winds.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/88874
Identification Number/DOI 10.1029/2019GL085980
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Wiley
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

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

Search Google Scholar