Articles | Volume 4, issue 2
https://doi.org/10.5194/wcd-4-331-2023
https://doi.org/10.5194/wcd-4-331-2023
Research article
 | 
18 Apr 2023
Research article |  | 18 Apr 2023

Intensity fluctuations in Hurricane Irma (2017) during a period of rapid intensification

William Torgerson, Juliane Schwendike, Andrew Ross, and Chris J. Short

Related authors

Comparing short term intensity fluctuations and an Eyewall replacement cycle in Hurricane Irma (2017) during a period of rapid intensification
William Stanley Torgerson, Juliane Schwendike, Andrew Ross, and Chris Short
EGUsphere, https://doi.org/10.5194/egusphere-2023-1272,https://doi.org/10.5194/egusphere-2023-1272, 2023
Short summary

Related subject area

Dynamical processes in the tropics, incl. tropical–extratropical interactions
Replicating the Hadley cell edge and subtropical jet latitude disconnect in idealized atmospheric models
Molly E. Menzel, Darryn W. Waugh, Zheng Wu, and Thomas Reichler
Weather Clim. Dynam., 5, 251–261, https://doi.org/10.5194/wcd-5-251-2024,https://doi.org/10.5194/wcd-5-251-2024, 2024
Short summary
Warm conveyor belt activity over the Pacific: modulation by the Madden–Julian Oscillation and impact on tropical–extratropical teleconnections
Julian F. Quinting, Christian M. Grams, Edmund Kar-Man Chang, Stephan Pfahl, and Heini Wernli
Weather Clim. Dynam., 5, 65–85, https://doi.org/10.5194/wcd-5-65-2024,https://doi.org/10.5194/wcd-5-65-2024, 2024
Short summary
Understanding the dependence of mean precipitation on convective treatment and horizontal resolution in tropical aquachannel experiments
Hyunju Jung, Peter Knippertz, Yvonne Ruckstuhl, Robert Redl, Tijana Janjic, and Corinna Hoose
Weather Clim. Dynam., 4, 1111–1134, https://doi.org/10.5194/wcd-4-1111-2023,https://doi.org/10.5194/wcd-4-1111-2023, 2023
Short summary
Identifying quasi-periodic variability using multivariate empirical mode decomposition: a case of the tropical Pacific
Lina Boljka, Nour-Eddine Omrani, and Noel S. Keenlyside
Weather Clim. Dynam., 4, 1087–1109, https://doi.org/10.5194/wcd-4-1087-2023,https://doi.org/10.5194/wcd-4-1087-2023, 2023
Short summary
Examining the dynamics of a Borneo vortex using a balance approximation tool
Sam Hardy, John Methven, Juliane Schwendike, Ben Harvey, and Mike Cullen
Weather Clim. Dynam., 4, 1019–1043, https://doi.org/10.5194/wcd-4-1019-2023,https://doi.org/10.5194/wcd-4-1019-2023, 2023
Short summary

Cited articles

Arakawa, A. and Lamb, V. R.: Computational Design of the Basic Dynamical Processes of the UCLA General Circulation Model, in: General Circulation Models of the Atmosphere, vol. 17 of Methods in Computational Physics: Advances in Research and Applications, edited by: Chang, J., Elsevier, 173–265, https://doi.org/10.1016/B978-0-12-460817-7.50009-4, 1977. a
Bell, M. M. and Lee, W.-C.: Objective Tropical Cyclone Center Tracking Using Single-Doppler Radar, J. Appl. Meteorol. Clim., 51, 878–896, https://doi.org/10.1175/JAMC-D-11-0167.1, 2012. a
Best, M. J., Pryor, M., Clark, D. B., Rooney, G. G., Essery, R. L. H., Ménard, C. B., Edwards, J. M., Hendry, M. A., Porson, A., Gedney, N., Mercado, L. M., Sitch, S., Blyth, E., Boucher, O., Cox, P. M., Grimmond, C. S. B., and Harding, R. J.: The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes, Geosci. Model Dev., 4, 677–699, https://doi.org/10.5194/gmd-4-677-2011, 2011. a
Bishop, C. H., Etherton, B. J., and Majumdar, S. J.: Adaptive Sampling with the Ensemble Transform Kalman Filter. Part I: Theoretical Aspects, Mon. Weather Rev., 129, 420–436, https://doi.org/10.1175/1520-0493(2001)129<0420:ASWTET>2.0.CO;2, 2001. a
Black, P. G., D'Asaro, E. A., Drennan, W. M., French, J. R., Niiler, P. P., Sanford, T. B., Terrill, E. J., Walsh, E. J., and Zhang, J. A.: Air Sea Exchange in Hurricanes: Synthesis of Observations from the Coupled Boundary Layer Air Sea Transfer Experiment, B. Am. Meteorol. Soc., 88, 357–374, https://doi.org/10.1175/BAMS-88-3-357, 2007. a
Download
Short summary
We investigated intensity fluctuations that occurred during the rapid intensification of Hurricane Irma (2017) to understand their effects on the storm structure. Using high-resolution model simulations, we found that the fluctuations were caused by local regions of strong ascent just outside the eyewall that disrupted the storm, leading to a larger and more symmetrical storm eye. This alters the location and intensity of the strongest winds in the storm and hence the storm's impact.