[Eoas-seminar] PhD Defense - Daneisha Jones

[eoas-seminar at lists.fsu.edu]

Hi all,

Please join us for Daneisha Jones' Doctoral Defense on Monday, February 9, 2026 in room EOA 5067 at 1:30 EST.

Title: A NOVEL STATISTICAL FRAMEWORK THAT LINKS NEAR-SURFACE DIVERGENCE TO CONVECTIVE VERTICAL TRANSPORT, ALLOWING FUTURE STUDY OF ITS IMPACT ON HURRICANE EVOLUTION FROM SATELLITE-BASED OBSERVATIONS
Name: Daneisha Jones
Date: February 9, 2026
Time: 1:30 pm
Location: EOAS 5067
If Zoom: https://fsu.zoom.us/j/91912877987<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F91912877987&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7Cc4fe04a80dd44de618cf08de64dd2eaf%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639059098280978614%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2Fu4zA7dvnt5%2BbTNcPHVpkxMa9JGTMGZKHYXE00USF%2Bk%3D&reserved=0>
Major Professor: Dr. Guosheng Liu

Abstract: This research is motivated by the desire to understand how near-surface divergence/convergence relate to updraft intensity in moist convection. To study this, we introduce a novel statistical methodology to quantify the relationship between column-maximum vertical velocity and parametric descriptors of the vertical profiles of horizontal wind convergence/divergence in the atmospheric column. This methodology provides a new means to characterize the vertical structure of convection and assess its relevance to tropical cyclone (TC) intensification. Utilizing several cloud-permitting model simulations of two hurricanes-Rita (2005) and Isabel (2003)-with different microphysical parameterizations, we apply canonical correlation analysis to examine how divergence/convergence patterns at various atmospheric levels relate to convective updrafts. Total column condensate is then used as an additional classification criterion applied to the canonically derived patterns, yielding four distinct precipitating regimes, each defined by unique vertical profiles of horizontal wind divergence, vertical velocity, and condensate water content. This classification remains consistent across different microphysical parameterizations and storm structures, demonstrating that the framework captures systematic relationships within the simulated hurricanes. Importantly, our analysis of the identified mature/deep convection areas affirms-consistent with prior observational and modeling studies-that TC intensification phases correspond to increased mature convection near the storm core, whereas weakening trends are associated with the outward migration of convective activity. Furthermore, our results indicate that using only near-surface convergence/divergence and column-integrated condensate can sufficiently separate the four precipitation types. An extension of the framework is explored using model-derived, satellite-like observables to illustrate how the diagnosed convective regimes relate to precipitation structures commonly observed from space, highlighting the potential for future observational applications. The novel aspect of this study lies in a joint, multivariate framework that links near-surface divergence/convergence to convective updraft intensity, enabling future space-based monitoring of TC convective structures and deeper understanding of their role in TC intensification.

Best,
Adea

Adea Arrison
Sr. Academic Program Specialist
Department of Earth, Ocean & Atmospheric Science
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