An analytic model of tropical cyclone wind profiles

Wang, Shuai; Toumi, Ralf; Czaja, Arnaud; Kan, Adrian van

doi:10.1002/qj.2586

Cited by 27 publications

(38 citation statements)

References 37 publications

(59 reference statements)

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“…The new WPR (Wang and Toumi, ) derived from the λ‐model (Wang et al, ) can be written as

P_{\min} - P_{env} = - ρ {(\frac{V_{\max} + 0.5 f_{o} R_{\max_normalKZ 07}}{0.77})}^{2}

where ρ is the air density set as 1.1 kg m −3 , P env the pressure in the ambient environment, f o the Coriolis parameter that depends on the TC location, and R max_KZ07 a proxy of R max for the pressure deficit (i.e. P min – P env ) estimation.…”

Section: Methodsmentioning

confidence: 99%

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A historical analysis of the mature stage of tropical cyclones

Wang

Toumi

2017

Intl Journal of Climatology

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International Journal of Climatology -For peer review only P e e r R e v i e w O n l y 3 Introduction 47The life cycle of tropical cyclones (TCs) can be divided into four stages, i.e., formative, 48 immature, mature, and decaying or transformation (Dunn and Miller, 1960; Riehl, 1954, 49 1979; Simpson and Riehl, 1981). The mature stage is the time frame that is the focus of 50 this study. There are no hard and fast rules defining the mature stage. In his classic 51 book, Riehl (1954) (Riehl, 1954, p282). Simpson and Riehl (1981, p99) further documented that, regarding 55 intensity variation, a TC at the mature stage can be simplified as a "steady-state" vortex. 56This steady-state of intensity is commonly used to represent the mature stage. These 57 two descriptions by Riehl (1954) and Simpson and Riehl (1981)

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“…The new WPR (Wang and Toumi, ) derived from the λ‐model (Wang et al, ) can be written as

P_{\min} - P_{env} = - ρ {(\frac{V_{\max} + 0.5 f_{o} R_{\max_normalKZ 07}}{0.77})}^{2}

Section: Methodsmentioning

confidence: 99%

“…Idealized model studies (e.g. Chan and Chan, ; Wang et al, ) showed the decaying of intensity and increase in size after maturity but did not link them. These changes are independent of experimental design in the simple numerical‐dynamical model (Ooyama, ) and state‐of‐art full‐physics numerical models.…”

Section: Introductionmentioning

confidence: 99%

A historical analysis of the mature stage of tropical cyclones

Wang

Toumi

2017

Intl Journal of Climatology

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“…An initial vortex with a rapid decrease in tangential winds with radius (such as that used in Sawada and Iwasaki 2010) will have a different response to heating compared with one that has a slow decrease (such as that used in Hill and Lackmann 2009). Wang et al (2015) used an idealized full-physics numerical model to show that high sea surface temperature (SST) is favorable to TC size growth. Higher SST gives a larger air-sea temperature contrast, and results in stronger latent energy transfer from the ocean to the air.…”

Section: Outer Windsmentioning

confidence: 99%

“…DeMaria and Pickle 1988;Li et al 2012). Second, TC size decreases with increasing f (e.g., Chavas and Emanuel 2014;Wang et al 2015). Third, TC has an optimum latitudinal region for TC size growth (e.g., Smith et al 2011;Chan 2014, 2015a).…”

Section: Planetary Vorticitymentioning

confidence: 99%

“…Others, however, have suggested that the extent of the azimuthal winds is inversely proportional to f . For example, Chavas and Emanuel (2014), who constructed a highly idealized model and environmental configuration to explore equilibrium TC structure in radiative-convective equilibrium using the Bryan cloud model (Bryan andFritsch 2002), andWang et al (2015), who derived an analytical model to describe the wind profile of TCs.…”

Section: Planetary Vorticitymentioning

confidence: 99%

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The Outer-Core Wind Structure of Tropical Cyclones

Chan

2018

Journal of the Meteorological Society of Japan

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This paper presents a summary of several seminal observational and numerical studies on climatology and possible change mechanisms of the outer-core wind structure of a tropical cyclone (TC). This has generally been referred to as size, a term also used in this review despite various definitions being given in the literature. In all the ocean basins where TCs exist, TC size has been found to vary with season, year, decade, latitude and longitude. Such variations are related to the synoptic flow patterns in which the TCs are embedded. Several factors have been identified as responsible for changes in TC size, including: environmental humidity, vortex structure, sea surface temperature and planetary vorticity. Each of these factors can modify the transport of lower tropospheric angular momentum into the TC and cause changes in its size. The paper ends with a discussion of outstanding issues in the study of the outer-core wind structure of a TC.

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Effect of extreme ocean precipitation on sea surface elevation and storm surges

Wong

Toumi

2016

Quart J Royal Meteoro Soc

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Ocean models that neglect mass and momentum contributions from precipitation can have a systematic bias in sea surface height (SSH). Here, a new rainfall scheme is introduced into the Regional Ocean Modelling System (ROMS) to incorporate the effects of precipitation mass. When precipitation is added to the sea surface, it spreads out via surface gravity waves that increase in propagation speed with increasing water depth. Over several days, the SSH increase due to the precipitation mass added created a geostrophic adjustment, generating anti-cyclonic geostrophic currents around the SSH increase. The transfer of momentum from precipitation to the sea surface, or rain stress, can also be important. In the case study of a real tropical cyclone, Monica passing North Australia, the effect of incorporating precipitation mass is compared with other processes affecting the storm surge: surface wind, inverse barometer effect and rain stress. The maximum SSH response is 170.6 cm for the wind effect, 61.5 cm for the inverse barometer effect, 7.5 cm for the effect of rain stress and 6.4 cm for the effect of rain mass. Each process has been shown to have different spatial influences. The effect of rain mass has a strong remote influence compared to the inverse barometer effect and the effect of rain stress. This is particularly seen in semi-enclosed bays

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An analytic model of tropical cyclone wind profiles

Abstract: A physically based analytic model (λ model) is presented to describe the wind profile of the tropical cyclones in terms of the pressure deficit and a single shape parameter (λ).To test the λ model, an idealized full-physics numerical model is employed to provide

Cited by 27 publications

References 37 publications

A historical analysis of the mature stage of tropical cyclones

A historical analysis of the mature stage of tropical cyclones

The Outer-Core Wind Structure of Tropical Cyclones

Effect of extreme ocean precipitation on sea surface elevation and storm surges

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