A comprehensive review on the modeling of tropical cyclone boundary layer wind field
被引:5
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作者:
Chang, Yu
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机构:
Tsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R ChinaTsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
Chang, Yu
[1
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Wang, Jiayao
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机构:
Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R ChinaTsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
Wang, Jiayao
[2
]
Li, Sunwei
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机构:
Tsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
Tsinghua Univ, Sch Ocean Engn, Shenzhen Int Grad Sch, Shenzhen, Guangdong, Peoples R ChinaTsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
Li, Sunwei
[1
,4
]
Chan, P. W.
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机构:
Hong Kong Observ, Kowloon, 134A Nathan Rd, Hong Kong, Peoples R ChinaTsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
Chan, P. W.
[3
]
机构:
[1] Tsinghua Shenzhen Int Grad Sch, Inst Ocean Engn, Shenzhen, Guangdong, Peoples R China
[2] Hong Kong Univ Sci & Technol, Dept Civil & Environm Engn, Kowloon, Clear Water Bay, Hong Kong, Peoples R China
[3] Hong Kong Observ, Kowloon, 134A Nathan Rd, Hong Kong, Peoples R China
[4] Tsinghua Univ, Sch Ocean Engn, Shenzhen Int Grad Sch, Shenzhen, Guangdong, Peoples R China
Tropical cyclone (TC) wind field models are becoming increasingly sophisticated and complex. This review systematically discusses a range of models capable of simulating TCs in terms of modifications or simplifications of the governing equation, the Navier-Stokes equations, as a starting point. The discussion focuses on linear models, which include slab models, height-resolving models, and numerical simulation methods, respectively. The linear model offers quick calculations and insights into physical mechanisms, while slab models have limitations in capturing important processes and site conditions. The height-resolving model is widely used for Monte Carlo simulations, providing realistic three-dimensional wind structures. Nonlinear simulations yield reliable results for typhoon trajectory prediction, although they require specific boundary and initial conditions. Integration of nonlinear simulation with artificial intelligence and machine learning shows promise for faster typhoon prediction. However, challenges remain in terms of data training for machine learning models. Future advancements in these areas have the potential to enhance hazard assessment and weather forecasting. (c) 2024 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)
机构:
Key Laboratory of Mesoscale Severe Weather/Ministry of Education
Department of Atmospheric Sciences Nanjing University, Nanjing 210093Key Laboratory of Mesoscale Severe Weather/Ministry of Education
唐晓东
谈哲敏
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机构:
Key Laboratory of Mesoscale Severe Weather/Ministry of Education
Department of Atmospheric Sciences Nanjing University, Nanjing 210093Key Laboratory of Mesoscale Severe Weather/Ministry of Education
机构:
Minist Educ, Key Lab Mesoscale Severe Weather, Nanjing 210093, Peoples R ChinaMinist Educ, Key Lab Mesoscale Severe Weather, Nanjing 210093, Peoples R China
Tang Xiaodong
Tan Zhemin
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机构:Minist Educ, Key Lab Mesoscale Severe Weather, Nanjing 210093, Peoples R China
机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDongGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Zhao Z.
Gao R.
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机构:
Meteorological Bureau of Shenzhen Municipality, GuangDongGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Gao R.
Zhang J.A.
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机构:
NOAA/AOML/Hurricane Research Division, University of Miami/CIMAS, Miami, 33149, FLGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Zhang J.A.
Zhu Y.
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机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDongGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Zhu Y.
Liu C.
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机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDongGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Liu C.
Chan P.W.
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机构:
Hong Kong ObservatoryGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
Chan P.W.
Wan Q.
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机构:
Guangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDongGuangzhou Institute of Tropical and Marine Meteorology/Guangdong Provincial Key Laboratory of Regional Numerical Weather Prediction, China Meteorological Administration, GuangDong
机构:
City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
Hu, Feng
Li, Qiusheng
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机构:
City Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China
City Univ Hong Kong, Shenzhen Res Inst, Architecture & Civil Engn Res Ctr, Shenzhen, Peoples R ChinaCity Univ Hong Kong, Dept Architecture & Civil Engn, Kowloon, Hong Kong, Peoples R China