Version 1
: Received: 9 October 2024 / Approved: 10 October 2024 / Online: 11 October 2024 (04:07:04 CEST)
How to cite:
Chen, H.-C. An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain. Preprints2024, 2024100779. https://doi.org/10.20944/preprints202410.0779.v1
Chen, H.-C. An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain. Preprints 2024, 2024100779. https://doi.org/10.20944/preprints202410.0779.v1
Chen, H.-C. An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain. Preprints2024, 2024100779. https://doi.org/10.20944/preprints202410.0779.v1
APA Style
Chen, H. C. (2024). An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain. Preprints. https://doi.org/10.20944/preprints202410.0779.v1
Chicago/Turabian Style
Chen, H. 2024 "An Innovative Dynamic Model for Predicting Typhoon Track Deflections over Complex Terrain" Preprints. https://doi.org/10.20944/preprints202410.0779.v1
Abstract
This study presents an innovative, dynamic model for predicting typhoon track deflections over complex terrain. Based on potential vorticity conservation, the model incorporates a topographic adjusting parameter (α) and a meridional adjusting velocity (MAV) to capture the vortex’s response to terrain variations. Simulations using an idealized bell-shaped mountain and Taiwan's realistic topography reveal that steeper terrain gradients consistently deflect typhoon tracks southward. This steering effect intensifies with increasing vortex strength due to a larger α, leading to enhanced MAV. Shallower approach angles also amplify deflections due to prolonged terrain interaction. Results highlight the significant role of Taiwan's Central Mountain Range in shaping typhoon trajectories. This model offers a refined approach for predicting typhoon behavior near complex terrain, advancing forecasting capabilities, and enhancing disaster preparedness strategies.
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
