• Alford, A. A., J. A. Zhang, M. I. Biggerstaff, P. Dodge, F. D. Marks, and D. J. Bodine, 2020: Transition of the hurricane boundary layer during the landfall of Hurricane Irene (2011). J. Atmos. Sci., 77, 35093531, https://doi.org/10.1175/JAS-D-19-0290.1.

    • Search Google Scholar
    • Export Citation
  • Cao, S., Y. Tamura, N. Kikuchi, M. Saito, I. Nakayama, and Y. Matsuzaki, 2015: A case study of gust factor of a strong typhoon. J. Wind Eng. Ind. Aerodyn., 138, 5260, https://doi.org/10.1016/j.jweia.2014.12.012.

    • Search Google Scholar
    • Export Citation
  • Cook, N. J., 1997: The Deaves and Harris ABL model applied to heterogeneous terrain. J. Wind Eng. Ind. Aerodyn., 66, 197214, https://doi.org/10.1016/S0167-6105(97)00034-2.

    • Search Google Scholar
    • Export Citation
  • Dai, G., Z. Xu, Y. F. Chen, R. G. J. Flay, and H. Rao, 2021: Analysis of the wind field characteristics induced by the 2019 Typhoon Bailu for the high-speed railway bridge crossing China’s southeast bay. J. Wind Eng. Ind. Aerodyn., 211, 104557, https://doi.org/10.1016/j.jweia.2021.104557.

    • Search Google Scholar
    • Export Citation
  • Davenport, A. G., 1960: Rationale for determining design wind velocities. J. Struct. Div., 86, 3968, https://doi.org/10.1061/JSDEAG.0000521.

    • Search Google Scholar
    • Export Citation
  • Fang, G., L. Zhao, S. Cao, Y. Ge, and K. Li, 2019: Gust characteristics of near-ground typhoon winds. J. Wind Eng. Ind. Aerodyn., 188, 323337, https://doi.org/10.1016/j.jweia.2019.03.008.

    • Search Google Scholar
    • Export Citation
  • Fang, P., W. Jiang, J. Tang, X. Lei, and J. Tan, 2020: Variations in friction velocity with wind speed and height for moderate-to-strong onshore winds based on measurements from a coastal tower. J. Appl. Meteor. Climatol., 59, 637650, https://doi.org/10.1175/JAMC-D-18-0327.1.

    • Search Google Scholar
    • Export Citation
  • Fernández-Cabán, P. L., and Coauthors, 2019: Observing Hurricane Harvey’s eyewall at landfall. Bull. Amer. Meteor. Soc., 100, 759775, https://doi.org/10.1175/BAMS-D-17-0237.1.

    • Search Google Scholar
    • Export Citation
  • Foken, T., and B. Wichura, 1996: Tools for quality assessment of surface-based flux measurements. Agric. For. Meteor., 78, 83105, https://doi.org/10.1016/0168-1923(95)02248-1.

    • Search Google Scholar
    • Export Citation
  • Foster, R. C., 2005: Why rolls are prevalent in the hurricane boundary layer. J. Atmos. Sci., 62, 26472661, https://doi.org/10.1175/JAS3475.1.

    • Search Google Scholar
    • Export Citation
  • Grimmond, C. S. B., and T. R. Oke, 1999: Aerodynamic properties of urban areas derived from analysis of surface form. J. Appl. Meteor., 38, 12621292, https://doi.org/10.1175/1520-0450(1999)038<1262:APOUAD>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • He, J. Y., Q. S. Li, and P. W. Chan, 2021: Reduced gust factor for extreme tropical cyclone winds over ocean. J. Wind Eng. Ind. Aerodyn., 208, 104445, https://doi.org/10.1016/j.jweia.2020.104445.

    • Search Google Scholar
    • Export Citation
  • He, J. Y., P. W. Chan, Q. S. Li, L. Li, L. Zhang, and H. L. Yang, 2022: Observations of wind and turbulence structures of Super Typhoons Hato and Mangkhut over land from a 356 m high meteorological tower. Atmos. Res., 265, 105910, https://doi.org/10.1016/j.atmosres.2021.105910.

    • Search Google Scholar
    • Export Citation
  • Højstrup, J., 1993: Statistical data screening procedure. Meas. Sci. Technol., 4, 153157, https://doi.org/10.1088/0957-0233/4/2/003.

    • Search Google Scholar
    • Export Citation
  • Isyumov, N., 2012: Alan G. Davenport’s mark on wind engineering. J. Wind Eng. Ind. Aerodyn., 104–106, 1224, https://doi.org/10.1016/j.jweia.2012.02.007.

    • Search Google Scholar
    • Export Citation
  • Kolmogorov, A. N., 1941: Rassejanie energii pri lokolno-isotropoi turbulentnosti. Dokl. Akad. Nauk SSSR, 32, 2224.

  • Kolmogorov, A. N., 1991: Dissipation of energy in the locally isotropic turbulence. Proc. Roy. Soc. London, 434A, 1517, https://doi.org/10.1098/rspa.1991.0076.

    • Search Google Scholar
    • Export Citation
  • Lan, C., B. Wang, D. Zheng, Y. Wang, Z. Zhang, and R. Fang, 2022: Decreased dissimilarity of turbulent transport attributed to large eddies. Quart. J. Roy. Meteor. Soc., 148, 12621279, https://doi.org/10.1002/qj.4258.

    • Search Google Scholar
    • Export Citation
  • Larsén, X. G., E. L. Petersen, and S. E. Larsen, 2018: Variation of boundary-layer wind spectra with height. Quart. J. Roy. Meteor. Soc., 144, 20542066, https://doi.org/10.1002/qj.3301.

    • Search Google Scholar
    • Export Citation
  • Li, L., and Coauthors, 2020: Tower observed vertical distribution of PM2.5, O3 and NOx in the Pearl River Delta. Atmos. Environ., 220, 117083, https://doi.org/10.1016/j.atmosenv.2019.117083.

    • Search Google Scholar
    • Export Citation
  • Li, L., P. W. Chan, T. Deng, H.-L. Yang, H.-Y. Luo, D. Xia, and Y.-Q. He, 2021: Review of advances in urban climate study in the Guangdong-Hong Kong-Macau Greater Bay Area, China. Atmos. Res., 261, 105759, https://doi.org/10.1016/j.atmosres.2021.105759.

    • Search Google Scholar
    • Export Citation
  • Li, L. X., Y. Zhou, H. Wang, H. Zhou, X. He, and T. Wu, 2019: An analytical framework for the investigation of tropical cyclone wind characteristics over different measurement conditions. Appl. Sci., 9, 5385, https://doi.org/10.3390/app9245385.

    • Search Google Scholar
    • Export Citation
  • Li, Q. S., X. Li, and P. W. Chan, 2021: Impact of a fifty-year-recurrence super typhoon on skyscrapers in Hong Kong: Large-scale field monitoring study. J. Struct. Eng., 147, 04021004, https://doi.org/10.1061/(ASCE)ST.1943-541X.0002930.

    • Search Google Scholar
    • Export Citation
  • Li, S., S. Laima, and H. Li, 2017: Cluster analysis of winds and wind-induced vibrations on a long-span bridge based on long-term field monitoring data. Eng. Struct., 138, 245259, https://doi.org/10.1016/j.engstruct.2017.02.024.

    • Search Google Scholar
    • Export Citation
  • Li, W., Z. Hu, Z. Pei, S. Li, and P. W. Chan, 2020: A discussion on influences of turbulent diffusivity and surface drag parameterizations using a linear model of the tropical cyclone boundary layer wind field. Atmos. Res., 237, 104847, https://doi.org/10.1016/j.atmosres.2020.104847.

    • Search Google Scholar
    • Export Citation
  • Li, X., Z. Pu, and Z. Gao, 2021: Effects of roll vortices on the evolution of Hurricane Harvey during landfall. J. Atmos. Sci., 78, 18471867, https://doi.org/10.1175/JAS-D-20-0270.1.

    • Search Google Scholar
    • Export Citation
  • Liao, H., H. Jing, C. Ma, Q. Tao, and Z. Li, 2020: Field measurement study on turbulence field by wind tower and Windcube lidar in mountain valley. J. Wind Eng. Ind. Aerodyn., 197, 104090, https://doi.org/10.1016/j.jweia.2019.104090.

    • Search Google Scholar
    • Export Citation
  • Liu, L., F. Hu, J. Li, and L. Song, 2013: On the use of Weierstrass-Mandelbrot function to simulate fractal wind fluctuations. Climatic Environ. Res., 18, 4350, https://doi.org/10.3878/j.issn.1006-9585.2012.11004.

    • Search Google Scholar
    • Export Citation
  • McLachlan, G. J., and K. E. Basford, 1988: Mixture Models: Inference and Applications to Clustering. Marcel Dekker, 253 pp.

  • Ming, J., J. A. Zhang, R. F. Rogers, F. D. Marks, Y. Wang, and N. Cai, 2014: Multiplatform observations of boundary layer structure in the outer rainbands of landfalling typhoons. J. Geophys. Res. Atmos., 119, 7799–7814, https://doi.org/10.1002/2014JD021637.

    • Search Google Scholar
    • Export Citation
  • Morrison, I., S. Businger, F. Marks, P. Dodge, and J. A. Businger, 2005: An observational case for the prevalence of roll vortices in the hurricane boundary layer. J. Atmos. Sci., 62, 26622673, https://doi.org/10.1175/JAS3508.1.

    • Search Google Scholar
    • Export Citation
  • Powell, M. D., P. J. Vickery, and T. A. Reinhold, 2003: Reduced drag coefficient for high wind speeds in tropical cyclones. Nature, 422, 279283, https://doi.org/10.1038/nature01481.

    • Search Google Scholar
    • Export Citation
  • Shu, Z. R., Q. S. Li, Y. C. He, and P. W. Chan, 2015: Gust factors for tropical cyclone, monsoon and thunderstorm winds. J. Wind Eng. Ind. Aerodyn., 142, 114, https://doi.org/10.1016/j.jweia.2015.02.003.

    • Search Google Scholar
    • Export Citation
  • Shu, Z. R., P. W. Chan, Q. S. Li, Y. C. He, and B. W. Yan, 2020: Quantitative assessment of offshore wind speed variability using fractal analysis. Wind Struct., 31, 363371, https://doi.org/10.12989/was.2020.31.4.363.

    • Search Google Scholar
    • Export Citation
  • Shu, Z. R., P. W. Chan, Q. S. Li, and Y. C. He, 2021: Dynamic characterization of wind speed under extreme conditions by recurrence-based techniques: Comparative study. J. Aerosp. Eng., 34, 04020114, https://doi.org/10.1061/(ASCE)AS.1943-5525.0001222.

    • Search Google Scholar
    • Export Citation
  • Solari, G., M. Burlando, P. De Gaetano, and M. P. Repetto, 2015: Characteristics of thunderstorms relevant to the wind loading of structures. Wind Struct., 20, 763791, https://doi.org/10.12989/was.2015.20.6.763.

    • Search Google Scholar
    • Export Citation
  • Sparks, N., K. K. Hon, P. W. Chan, S. Wang, J. C. L. Chan, T. C. Lee, and R. Toumi, 2019: Aircraft observations of tropical cyclone boundary layer turbulence over the South China Sea. J. Atmos. Sci., 76, 37733783, https://doi.org/10.1175/JAS-D-19-0128.1.

    • Search Google Scholar
    • Export Citation
  • Sreenivasan, K. R., 1995: On the universality of the Kolmogorov constant. Phys. Fluids, 7, 27782784, https://doi.org/10.1063/1.868656.

    • Search Google Scholar
    • Export Citation
  • Tanner, C. B., and G. W. Thurtell, 1969: Anemoclinometer measurements of Reynolds stress and heat transport in the atmospheric surface layer. University of Wisconsin–Madison Tech. Rep. ECOM-66-G22-F, 82 pp.

  • Tao, T., and H. Wang, 2019: Modelling of longitudinal evolutionary power spectral density of typhoon winds considering high-frequency subrange. J. Wind Eng. Ind. Aerodyn., 193, 103957, https://doi.org/10.1016/j.jweia.2019.103957.

    • Search Google Scholar
    • Export Citation
  • Thuillier, R. H., and U. O. Lappe, 1964: Wind and temperature profile characteristics from observations on a 1400 ft tower. J. Appl. Meteor. Climatol., 3, 299306, https://doi.org/10.1175/1520-0450(1964)003<0299:WATPCF>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • Tieleman, H. W., 2008: Strong wind observations in the atmospheric surface layer. J. Wind Eng. Ind. Aerodyn., 96, 4177, https://doi.org/10.1016/j.jweia.2007.03.003.

    • Search Google Scholar
    • Export Citation
  • Vickers, D., and L. Mahrt, 1997: Quality control and flux sampling problems for tower and aircraft data. J. Atmos. Oceanic Technol., 14, 512526, https://doi.org/10.1175/1520-0426(1997)014<0512:QCAFSP>2.0.CO;2.

    • Search Google Scholar
    • Export Citation
  • von Kármán, T., 1948: Progress in the statistical theory of turbulence. Proc. Natl. Acad. Sci. USA, 34, 530539, https://doi.org/10.1073/pnas.34.11.530.

    • Search Google Scholar
    • Export Citation
  • Wang, X., Q. Li, and J. Li, 2020: Field monitoring and wind tunnel study of wind effects on roof overhang of a low‐rise building. Struct. Control Health Monit., 27, e2484, https://doi.org/10.1002/stc.2484.

    • Search Google Scholar
    • Export Citation
  • Wiernga, J., 1993: Representative roughness parameters for homogeneous terrain. Bound.-Layer Meteor., 63, 323363, https://doi.org/10.1007/BF00705357.

    • Search Google Scholar
    • Export Citation
  • Yim, J. Z., and C.-R. Chou, 2001: A study of the characteristic structures of strong wind. Atmos. Res., 57, 151170, https://doi.org/10.1016/S0169-8095(01)00068-0.

    • Search Google Scholar
    • Export Citation
  • Ying, M., W. Zhang, H. Yu, X. Lu, J. Feng, Y. Fan, Y. Zhu, and D. Chen, 2014: An overview of the China Meteorological Administration tropical cyclone database. J. Atmos. Oceanic Technol., 31, 287301, https://doi.org/10.1175/JTECH-D-12-00119.1.

    • Search Google Scholar
    • Export Citation
  • Zeng, Q., X. Cheng, F. Hu, and Z. Peng, 2010: Gustiness and coherent structure of strong winds and their role in dust emission and entrainment. Adv. Atmos. Sci., 27, 1, https://doi.org/10.1007/s00376-009-8207-3.

    • Search Google Scholar
    • Export Citation
  • Zhang, F., N. Bei, R. Rotunno, C. Snyder, and C. C. Epifanio, 2007: Mesoscale predictability of moist baroclinic waves: Convection-permitting experiments and multistage error growth dynamics. J. Atmos. Sci., 64, 35793594, https://doi.org/10.1175/JAS4028.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, J. A., 2010: Spectral characteristics of turbulence in the hurricane boundary layer over the ocean between the outer rain bands. Quart. J. Roy. Meteor. Soc., 136B, 918926, https://doi.org/10.1002/qj.610.

    • Search Google Scholar
    • Export Citation
  • Zhang, J. A., K. B. Katsaros, P. G. Black, S. Lehner, J. R. French, and W. M. Drennan, 2008: Effects of roll vortices on turbulent fluxes in the hurricane boundary layer. Bound.-Layer Meteor., 128, 173189, https://doi.org/10.1007/s10546-008-9281-2.

    • Search Google Scholar
    • Export Citation
  • Zhang, J. A., R. F. Rogers, D. S. Nolan, and F. D. Marks Jr., 2011: On the characteristic height scales of the hurricane boundary layer. Mon. Wea. Rev., 139, 25232535, https://doi.org/10.1175/MWR-D-10-05017.1.

    • Search Google Scholar
    • Export Citation
  • Zhang, S., G. Solari, P. De Gaetano, M. Burlando, and M. P. Repetto, 2018: A refined analysis of thunderstorm outflow characteristics relevant to the wind loading of structures. Probab. Eng. Mech., 54, 924, https://doi.org/10.1016/j.probengmech.2017.06.003.

    • Search Google Scholar
    • Export Citation
  • Zhu, Q., Y. L. Xu, L. D. Zhu, and H. Li, 2018: Vortex-induced vibration analysis of long-span bridges with twin-box decks under non-uniformly distributed turbulent winds. J. Wind Eng. Ind. Aerodyn., 172, 3141, https://doi.org/10.1016/j.jweia.2017.11.005.

    • Search Google Scholar
    • Export Citation
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Observational Study of Wind Velocity and Structures during Supertyphoons and Convective Gales over Land Based on a 356-m-High Meteorological Gradient Tower

Qian-Jin ZhouaSchool of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China

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Lei LiaSchool of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
bGuangdong Provincial Observation and Research Station for Climate Environment and Air Quality Change in the Pearl River Estuary, Zhuhai, China
cKey Laboratory of Tropical Atmosphere-Ocean System, Sun Yat-Sen University, Ministry of Education, Zhuhai, China

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Pak-Wai ChandHong Kong Observatory, Hong Kong, China

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Xue-Ling ChengeInstitute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

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Chang-Xing LanaSchool of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
fInstitute of Meteorology and Climate Research–Atmospheric Environmental Research, Karlsruhe Institute of Technology, Garmisch-Partenkirchen, Germany

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Jia-Chen SuaSchool of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China

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Yu-Qing HeaSchool of Atmospheric Sciences, Sun Yat-Sen University, and Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China

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Hong-Long YanggShenzhen National Climate Observatory, Shenzhen, China

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Abstract

Supertyphoons (STs) and strong convection gales (SCGs) are extremely hazardous weather events over land. Knowledge of their processes is crucial for various applications, such as intensity forecasts of gales and the design of high-rise construction and infrastructure. Here, an observational analysis of two strong SCGs and two STs is presented based on data from the Shenzhen meteorological gradient tower, the tallest in Asia. Differences in the intrinsic physical characteristics measured at each event can be associated with different disaster-causing mechanisms. Wind speeds during STs are comparatively much larger but feature slower variations, while those of SCGs are more abrupt. Unlike that observed during STs, the vertical distribution of wind speeds during SCGs obeys a power law or exponential distribution only within 1-h maximum wind speed windows. In comparison with a Gaussian distribution, a generalized extreme value distribution can better characterize the statistical characteristics of the gusts of both STs and SCGs events. Deviations from Kolmogorov’s −5/3 power law were observed in the energy spectra of both phenomena at upper levels, albeit with differences. Different from what is seen in the ST energy spectrum distribution, a clear process of energy increase and decrease could be seen in SCGs during gale evolution. Nonetheless, both SCGs and STs exhibited a high downward transfer of turbulent momentum flux at a 320 m height, which could be attributed to the pulsation of the gusts rather than to the large-scale base flow.

Significance Statement

Strong gales induced by typhoons and severe convection have potential serious impacts on human society. The current study compares and analyzes the characteristics of the gales induced by the two different weather systems using the data observed by a 356-m-tall tower in South China. This paper also shows the relationship between gusts of the near-surface wind and the turbulent momentum fluxes, thus suggesting a possible mechanism leading to destructive forces in surface winds. In terms of social value, this study would contribute to increase the awareness of gales (the instantaneous wind speed over 17 m s−1) and improve the prediction and prevention of different types of gales, as well as the wind-resistant design of high-rise buildings.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lei Li, lilei68@mail.sysu.edu.cn

Abstract

Supertyphoons (STs) and strong convection gales (SCGs) are extremely hazardous weather events over land. Knowledge of their processes is crucial for various applications, such as intensity forecasts of gales and the design of high-rise construction and infrastructure. Here, an observational analysis of two strong SCGs and two STs is presented based on data from the Shenzhen meteorological gradient tower, the tallest in Asia. Differences in the intrinsic physical characteristics measured at each event can be associated with different disaster-causing mechanisms. Wind speeds during STs are comparatively much larger but feature slower variations, while those of SCGs are more abrupt. Unlike that observed during STs, the vertical distribution of wind speeds during SCGs obeys a power law or exponential distribution only within 1-h maximum wind speed windows. In comparison with a Gaussian distribution, a generalized extreme value distribution can better characterize the statistical characteristics of the gusts of both STs and SCGs events. Deviations from Kolmogorov’s −5/3 power law were observed in the energy spectra of both phenomena at upper levels, albeit with differences. Different from what is seen in the ST energy spectrum distribution, a clear process of energy increase and decrease could be seen in SCGs during gale evolution. Nonetheless, both SCGs and STs exhibited a high downward transfer of turbulent momentum flux at a 320 m height, which could be attributed to the pulsation of the gusts rather than to the large-scale base flow.

Significance Statement

Strong gales induced by typhoons and severe convection have potential serious impacts on human society. The current study compares and analyzes the characteristics of the gales induced by the two different weather systems using the data observed by a 356-m-tall tower in South China. This paper also shows the relationship between gusts of the near-surface wind and the turbulent momentum fluxes, thus suggesting a possible mechanism leading to destructive forces in surface winds. In terms of social value, this study would contribute to increase the awareness of gales (the instantaneous wind speed over 17 m s−1) and improve the prediction and prevention of different types of gales, as well as the wind-resistant design of high-rise buildings.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Lei Li, lilei68@mail.sysu.edu.cn
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