[Eoas-seminar] Fwd: MET Seminar: Tuesday Jan. 20, 3PM (Dr. Samuel Fung, Univ. of Miami)

[eoas-seminar at lists.fsu.edu]

Dear all,

This is a reminder to please join us today afternoon for a MET seminar, given by Dr. Samuel Fung from University of Miami.

DATE: Tuesday,  January 20
TIME: 3-4 PM
LOCATION: EOA 1044
SPEAKER: Dr. Samuel Fung
Title: Enhancing Tropical Cyclone Research and Forecast at High Resolution ”


https://fsu.zoom.us/j/94406633431<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F94406633431&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7C9417f5aa256e491fcb4208de582aba78%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639045137687218508%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=kCIFAhFMjiYdgw9eH%2FbGtWrQRnq89zPZaK61jaRVkD4%3D&reserved=0>

Meeting ID: 944 0663 3431

See you there.

Ming

Begin forwarded message:

From: eoas-seminar--- via Eoas-seminar <eoas-seminar at lists.fsu.edu>
Subject: [Eoas-seminar] MET Seminar: Tuesday Jan. 20, 3PM (Dr. Samuel Fung, Univ. of Miami)
Date: January 13, 2026 at 10:03:34 PM EST
To: eoas-seminar--- via Eoas-seminar <eoas-seminar at lists.fsu.edu>
Reply-To: eoas-seminar at lists.fsu.edu


Dear all,

Please join us for a MET seminar, which will be at 3:00PM on Jan. 20 (Tuesday) in EOAS 1044, given by Dr. Samuel Fung from University of Miami.  His seminar is entitled “Enhancing Tropical Cyclone Research and Forecast at High Resolution ” (abstract below)

DATE: Tuesday,  January 20
TIME: 3-4 PM
LOCATION: EOA 1044
SPEAKER: Dr. Samuel Fung

Join Zoom Meeting
https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F94406633431&data=05%7C02%7Cmcai%40fsu.edu%7Ced08db9f5c874c01a0d108de530f8bae%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639039523382703658%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=t5Ab36UoBsbBkVfqnSdCQUeh2dC3GcKXXgLsOxk7PNE%3D&reserved=0<https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Ffsu.zoom.us%2Fj%2F94406633431&data=05%7C02%7Ceoas-seminar%40lists.fsu.edu%7C9417f5aa256e491fcb4208de582aba78%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C639045137687266415%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=5l%2Br65hI2zf5fuBUdYq77%2FETsfse2VPy2fPVd%2ByVve4%3D&reserved=0>

Meeting ID: 944 0663 3431

Title: Enhancing Tropical Cyclone Research and Forecast at High Resolution
Abstract:
As computational power enables kilometer‑scale weather modeling, model inputs and physics must evolve to capture subgrid variability. This seminar presents two advances: (1) capture urban heterogeneity to enhance tropical cyclone (TC) landfall simulation, and (2) develop a scale‑aware turbulent mixing scheme to enhance TC tracks and intensity forecast.
The first section introduces the Local Climate Zones (LCZs), that utilize satellite imageries and machine learning methods to subcategorize urban land use into 10 classes for capturing intraurban variability. High‑resolution simulations of landfalling TCs show that incorporating LCZs can enhance near‑surface winds, temperature, and rainfall compared to default land use land cover dataset.
This second section introduces a scale-aware turbulent mixing scheme to improve operational TC forecast that blends Large Eddy Simulation (LES) physics with mesoscale parameterizations. The scheme can create better predictions of TC tracks and intensity in the operational framework. The mechanisms are also discussed.
These results show the need to revisit model inputs and model physics for more accurate high‑resolution extreme weather prediction.
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