Investigation of Tropical Cyclone Wind Models With Application to Storm Tide Simulations

被引:16
|
作者
Wangl, Shuai [1 ]
Lin, Ning [1 ]
Gori, Avantika [1 ]
机构
[1] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
tropical cyclone; wind model; storm surge; STATISTICAL-ANALYSIS; PART II; ASYMMETRIES; INTENSITY; PHYSICS; OCEAN; SHEAR; RISK; SIZE; PRECIPITATION;
D O I
10.1029/2021JD036359
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The hazards induced by tropical cyclones (TCs), for example, high winds, extreme precipitation, and storm tides, are closely related to the TC surface wind field. Parametric models for TC surface wind distribution have been widely used for hazards and risk analysis due to their simplicity and efficiency in application. Here we revisit the parametric modeling of TC wind fields, including the symmetrical and asymmetrical components, and its applications in storm tide modeling in the North Atlantic. The asymmetrical wind field has been related to TC motion and vertical wind shear; however, we find that a simple and empirical background-wind model, based solely on a rotation and scaling of the TC motion vector, can largely capture the observed surface wind asymmetry. The implicit inclusion of the wind shear effect can be understood with the climatological relationship between the general TC motion and wind shear directions during hurricane seasons. For the symmetric wind field, the widely used Holland wind profile is chosen as a benchmark model, and we find that a physics-based complete wind profile model connecting the inner core and outer region performs superiorly compared to a wind analysis data set. When used as wind forcing for storm tide simulations, the physics-based complete wind profile integrated with the background-wind asymmetry model can reproduce the observed storm tides with lower errors than the often-used Holland model coupled with a translation-speed-based method.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Are Forecasts of the Tropical Cyclone Radius of Maximum Wind Skillful?
    Trabing, Benjamin C.
    Penny, Andrew B.
    Martinez, Jonathan
    Fritz, Cody
    GEOPHYSICAL RESEARCH LETTERS, 2024, 51 (12)
  • [42] Developing a Tropical Cyclone Parametric Wind Model with Landfall Effect for Real-Time Prediction of Wind and Storm Surge
    Ding, Taide
    Ding, Yan
    Jia, Yafei
    Altinakar, Mustafa
    PROCEEDINGS OF THE 35TH IAHR WORLD CONGRESS, VOLS III AND IV, 2013,
  • [43] Sensitivity of Tropical Cyclone Development to the Vortex Size Under Vertical Wind Shear
    Huang, Qijun
    Ge, Xuyang
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 128 (23)
  • [44] Assessing Storm Surge Multiscenarios Based on Ensemble Tropical Cyclone Forecasting
    Islam, Md. Rezuanul
    Duc, Le
    Sawada, Yohei
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2023, 128 (23)
  • [45] Dependence of model convergence on horizontal resolution and convective parameterization in simulations of a tropical cyclone at gray-zone resolutions
    Sun, Yuan
    Yi, Lan
    Zhong, Zhong
    Hu, Yijia
    Ha, Yao
    JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (14) : 7715 - 7732
  • [46] Correlating Storm Surge Heights with Tropical Cyclone Winds at and before Landfall
    Needham, Hal F.
    Keim, Barry D.
    EARTH INTERACTIONS, 2014, 18 : 1 - 26
  • [47] Sensitivity of Offshore Tropical Cyclone Wave Simulations to Spatial Resolution in Wave Models
    Chen, Xuanyu
    Ginis, Isaac
    Hara, Tetsu
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2018, 6 (04):
  • [48] Performance of various wind models for storm surge and wave prediction in the Bay of Bengal: A case study of Cyclone Hudhud
    Sebastian, Maneesha
    Behera, Manasa Ranjan
    Prakash, Kumar Ravi
    Murty, P. L. N.
    OCEAN ENGINEERING, 2024, 297
  • [49] Tropical cyclone wind field forcing for surge models: critical issues and sensitivities
    V. J. Cardone
    A. T. Cox
    Natural Hazards, 2009, 51 : 29 - 47
  • [50] Impact of Global Warming on Tropical Cyclone Track and Intensity: A Numerical Investigation
    Feng, Zhihao
    Shi, Jian
    Sun, Yuan
    Zhong, Wei
    Shen, Yixuan
    Lv, Shuo
    Yao, Yao
    Zhao, Liang
    REMOTE SENSING, 2023, 15 (11)