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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Atmospheric Science
Volume 12 - 2024 | doi: 10.3389/feart.2024.1396390

A Flexible Tropical Cyclone Vortex Initialization Technique for GFDL SHiELD Provisionally Accepted

 Kun Gao1*  Lucas Harris2 Mingjing Tong2 Linjiong Zhou1 Jan-Huey Chen2  Kai-Yuan Cheng1
  • 1Princeton University, United States
  • 2NOAA Geophysical Fluid Dynamics Laboratory, United States

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Tropical cyclone (TC) intensity forecasting poses challenges due to complex dynamical processes and data inadequacies during model initialization. This paper describes efforts to improve TC intensity prediction in the Geophysical Fluid Dynamics Laboratory (GFDL) System for High-resolution prediction on Earth-to-Local Domains (SHiELD) model by implementing a Vortex Initialization (VI) technique. The GFDL SHiELD model, relying on the Global Forecast System (GFS) analysis for initialization, faces deficiencies in initial TC structure and intensity. The VI method involves adjusting the TC vortex inherited from the GFS analysis and merging it back into the environment at the observed location, enhancing the analyzed representation of storm structure. We made modifications to the VI package implemented in the operational Hurricane Analysis and Forecast System, including handling initial condition data, reducing input domain size, and improving storm intensity enhancement. Experiments using the T-SHiELD configuration demonstrate that using VI significantly improves the representation of initial TC intensity and size, enhancing TC predictions, particularly in storm intensity and outer wind forecasts within the first 48 hours.

Keywords: Hurricanes, tropical cyclones, high-resolution modeling, intensity forecast, Initialization

Received: 05 Mar 2024; Accepted: 11 Apr 2024.

Copyright: © 2024 Gao, Harris, Tong, Zhou, Chen and Cheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mx. Kun Gao, Princeton University, Princeton, United States