Modeling Tropical Cyclone Boundary Layer Wind Fields over Ocean and Land: A Comparative Assessment
Accurate simulation of boundary layer wind field structures is essential for evaluating tropical cyclone (TC) wind hazards and supporting engineering design in coastal regions. However, existing models often assume radially symmetric and homogeneous surface conditions, leading to limited accuracy near landfall where surface roughness varies significantly. This study conducts a comprehensive evaluation of four representative TC boundary layer models of M95, K01, Y21a, and Y21b, under both idealized and real TC case conditions. The idealized experiments are used to clarify the role of vertical advection and turbulent diffusion in shaping the TC boundary layer, while the landfalling case of Typhoon Mangkhut (2018) is simulated to examine the impacts of surface roughness parameterization. Results show that Y21a, which incorporates nonlinear vertical advection, produces stronger and more realistic super-gradient phenomenon than linear models of M95 and K01. Furthermore, the model of Y21b, which accounts for spatially varying drag coefficients and using a terrain-following coordinate system, successfully reproduces the asymmetric wind patterns observed in the WRF simulations during landfall, achieving the highest correlation (R = 0.93). When the spatially varying drag coefficients incorporated into the linear models, their correlation with WRF improved markedly by about 37%. These findings highlight the necessity of incorporating nonlinear advection, dynamic turbulence, and surface heterogeneity for physically consistent TC boundary layer simulations. The results provide valuable guidance for improving parametric wind field models and enhancing TC wind hazard assessments over complex coastal terrains.
Authors
- Yanan Tang (ORCID: https://orcid.org/0000-0001-9142-261X)
- Jiuwei Zhao (ORCID: https://orcid.org/0000-0001-9146-7500)
- Zhongdong Duan (ORCID: https://orcid.org/0000-0003-2454-4961)
- Jian Yang (ORCID: https://orcid.org/0000-0002-9237-8830)
Institutions
- Shenzhen Institute of Information Technology (CN)
- Shenzhen University (CN)
- Nanjing University of Information Science and Technology (CN)
- Dongguan University of Technology (CN)
Publication Details
- Journal
- Atmosphere
- Published
- 2025-11-11
- DOI
- https://doi.org/10.3390/atmos16111280
- Citations
- 1
- Primary Topic
- Tropical and Extratropical Cyclones Research
- Type
- article
- Field-Weighted Citation Impact
- 1.30