A comprehensive review on the modeling of tropical cyclone boundary layer wind field

被引:5
|
作者
Chang, Yu [1 ]
Wang, Jiayao [2 ]
Li, Sunwei [1 ,4 ]
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
关键词
COMPLEX TERRAIN; CLIMATE-CHANGE; PART I; SIMULATION; HURRICANES; DYNAMICS; PARAMETERIZATION; FREQUENCY; SYSTEM; SPEEDS;
D O I
10.1063/5.0188832
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
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/)
引用
收藏
页数:11
相关论文
共 50 条
  • [41] TROPICAL CYCLONE BOUNDARY LAYER ROLLS DERIVED FROM SAR
    Werkmeister, Astrid
    Graber, Hans
    Foster, Ralph
    Romeiser, Roland
    2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2015, : 2526 - 2528
  • [42] Sensitivity of tropical cyclone intensification to boundary layer and convective processes
    Rao, D. V. Bhaskar
    Prasad, Dasari Hari
    NATURAL HAZARDS, 2007, 41 (03) : 429 - 445
  • [43] Aircraft Observations of Turbulence Characteristics in the Tropical Cyclone Boundary Layer
    Zhao, Zhongkuo
    Chan, P. W.
    Wu, Naigeng
    Zhang, Jun A.
    Hon, K. K.
    BOUNDARY-LAYER METEOROLOGY, 2020, 174 (03) : 493 - 511
  • [44] Aircraft Observations of Turbulence Characteristics in the Tropical Cyclone Boundary Layer
    Zhongkuo Zhao
    P. W. Chan
    Naigeng Wu
    Jun A. Zhang
    K. K. Hon
    Boundary-Layer Meteorology, 2020, 174 : 493 - 511
  • [45] Sensitivity of tropical cyclone intensification to boundary layer and convective processes
    D. V. Bhaskar Rao
    Dasari Hari Prasad
    Natural Hazards, 2007, 41 : 429 - 445
  • [46] A Model of the Sea–Land Transition of the Mean Wind Profile in the Tropical Cyclone Boundary Layer Considering Climate Changes
    Jiayao Wang
    Tim K. T. Tse
    Sunwei Li
    Jimmy C. H. Fung
    International Journal of Disaster Risk Science, 2023, 14 : 413 - 427
  • [47] EVOLUTION OF THE SURFACE WIND FIELD IN AN INTENSIFYING TROPICAL CYCLONE.
    Molinari, John
    Skubis, Steven
    1600, (42):
  • [48] EVOLUTION OF THE SURFACE WIND-FIELD IN AN INTENSIFYING TROPICAL CYCLONE
    MOLINARI, J
    SKUBIS, S
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 1985, 42 (24) : 2865 - 2879
  • [49] A Model for the Tropical Cyclone Wind Field Response to Idealized Landfall
    Chen, Jie
    Chavas, Daniel R.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2023, 80 (04) : 1163 - 1176
  • [50] Comparison of tropical cyclone wind field models and their influence on estimated wind hazard
    Gu, J. Y.
    Sheng, C.
    Hong, H. P.
    WIND AND STRUCTURES, 2020, 31 (04) : 321 - 334