A New Parametric Model of Vortex Tangential-Wind Profiles: Development, Testing, and Verification

Wood, Vincent T.; White, Luther W.

doi:10.1175/2011jas3588.1

Cited by 63 publications

(44 citation statements)

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“…Bhagwat and Leishman (2002) and Wood and White (2011) provide detailed reviews of analytical vortex tangential velocity profiles used in the aerospace and meteorological communities respectively. Both studies identify Vatistas et al (1991) profile as a realistic representation of measured vortex profiles; it is particularly attractive for integration into a computer model because varying the exponent "n" replicates the commonly-used profiles summarized in Table 1.…”

Section: Vortex Wind Field Modelmentioning

confidence: 99%

Defining the vortex loading period and application to assess dynamic amplification of tornado-like wind loading

Strasser

Yousef

Selvam

2016

Journal of Fluids and Structures

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a b s t r a c tTornados are transient loading events, and several studies in the literature have shown their capability to produce dynamically amplified structure response. The present study utilizes the dynamic load factor (DLF) concept to develop the first generalized methodology to assess the possible dynamic amplification of structure having specified fundamental period T n to tornadic wind loads. The two-dimensional impact of a rigid, circular cylinder by an impinging vortex is directly simulated; the resulting loading time history is then used to excite a single degree of freedom (SDOF) response model. The vortex load application period T v is defined as the value of T n for which the structure's response experiences greatest dynamic amplification. An expression for T v is defined as a function of three vortex properties: critical radius, translational velocity, and tangential velocity profile, so that T v can be computed using documented tornado-vortex properties. The range of possible tornado-vortex tangential velocity profiles is identified, and DLF curves are defined for the forcing produced by each vortex profile. A review is conducted of the range of documented tornado parameters and fundamental periods of real-world structures. Finally, the documented tornado parameters, expression for T v , and DLF curves for the vortex profiles are used to define the possible dynamic response amplification of a structure as a function of T n .

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Section: Vortex Wind Field Modelmentioning

confidence: 99%

Defining the vortex loading period and application to assess dynamic amplification of tornado-like wind loading

Strasser

Yousef

Selvam

2016

Journal of Fluids and Structures

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“…The simple non-Rankine vortex may be modeled using the parametric tangential wind (V WW ) profile of Wood and White (2011). The profile for inviscid, axisymmetric flow is expressed by…”

Section: Analytical Tangential Wind Profilesmentioning

confidence: 99%

“…The three shape parameters (k, h, l) are related to different shapes of the velocity profile. Note that k and h are the same parameters k and n as initially developed by Wood and White (2011). Tangential wind in (2) assumes a circular wind flow pattern at a given height level and does not adequately depict the actual surface boundary layer winds.…”

Section: Analytical Tangential Wind Profilesmentioning

confidence: 99%

“…This implies that the flow was driven by infinitely high (low) pressure at radial (vertical) infinity, according to Davies-Jones (1986). Consequently, the inadequacy of the Rankine and Burgers-Rott vortex models provides motivation to apply the Wood and White (2011) parametric tangential wind profile model to a wind-pressure relationship and to determine whether the model can provide good potential for diagnosing the pressure features arising in dust devils, waterspouts, tornadoes, tornado cyclones, and mesocyclones. By tailoring the Wood and White model for tropical cyclone applications, Wood et al (2013) developed parametric tropical cyclone wind profiles for depicting representative surface pressure profiles that corresponded to the multiple-maxima tangential wind profiles associated with three complete rings of enhanced radar reflectivity (i.e., inner eyewall, first and second outer eyewalls).…”

Section: Introductionmentioning

confidence: 99%

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A Parametric Wind–Pressure Relationship for Rankine versus Non-Rankine Cyclostrophic Vortices

Wood

White

2013

Journal of Atmospheric and Oceanic Technology

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A parametric tangential wind profile model is presented for depicting representative pressure deficit profiles corresponding to varying tangential wind profiles of a cyclostrophic, axisymmetric vortex. The model employs five key parameters per wind profile: tangential velocity maximum, radius of the maximum, and three shape parameters that control different portions of the profile. The model coupled with the cyclostrophic balance assumption offers a diagnostic tool for estimating and examining a radial profile of pressure deficit deduced from a theoretical superimposing tangential wind profile in the vortex. Analytical results show that the shape parameters for a given tangential wind maximum of a non-Rankine vortex have an important modulating influence on the behavior of realistic tangential wind and corresponding pressure deficit profiles. The first parameter designed for changing the wind profile from sharply to broadly peaked produces the corresponding central pressure fall. An increase in the second (third) parameter yields the pressure rise by lowering the inner (outer) wind profile inside (outside) the radius of the maximum. Compared to the Rankine vortex, the parametrically constructed non-Rankine vortices have a larger central pressure deficit. It is suggested that the parametric model of non-Rankine vortex tangential winds has good potential for diagnosing the pressure features arising in dust devils, waterspouts, tornadoes, tornado cyclones, and mesocyclones. Finally, presented are two examples in which the parametric model is fitted to a tangential velocity profile, one derived from an idealized numerical simulation and the other derived from high-resolution Doppler radar data collected in a real tornado.

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“…This parametric model is advantageous over the Rankine model since it produces a continuous tangential velocity profile and allows one to tune the wind profile with the three parameters (Wood and White 2011). In the control simulation, k=1, n=1.6 and λ 0.2 are chosen, which yields a solid body vortex profile similar to that of catergory 1 hurricane constructed by Nolan and Montgomery (2002).…”

Section: Model Initializationmentioning

confidence: 99%

Mechanisms Governing the Eyewall Replacement Cycle in Numerical Simulations of Tropical Cyclones

Zhu¹

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Moreover, the contraction of the outer eyewall near the end of an ERC can sometimes lead to a rapid intensification to result in a more intense TC than that prior to the ERC. Because of the dramatic intensity and structure changes associated with ERC and its frequent occurrence, the motivation to understand and forecast this phenomenon has remained high for decades. As will be reviewed in the next section, due to its intricate nature, the most basic question about ERC is still open: What are the leading physical mechanisms that control the formation of the secondary eyewall and the demise of the primary eyewall? Advancing our understanding of ERC and addressing various scientific issues associated with ERC are the goals and motivation of this dissertation research. Current understanding of ERCA complete theory of the ERC requires physical explanations of the formation of the secondary eyewall and the subsequent demise of the primary eyewall. A review of current understanding of these two ERC components is presented below. Secondary Eyewall Formation (SEF)Over the years, extensive research on SEF and ERC has yielded many hypotheses on SEF but some of them are now abandoned according to the recent studies, for example, the topographic forcing (Hawkins 1983), the asymmetric friction due to storm motion If the pattern of tendencies were to persist for some time, then, a secondary maximum of tangential wind would form near the source radius and surrounding the original RMW.This mechanism may explain how an outer concentric eyewall can form and eventually replace the inner eyewall. In a recent study, Rozoff et al. (2012) evaluated the pioneering theoretical analysis of SW82 using the data generated from a full physics simulation of a real TC. They showed that the sustained azimuthal-mean latent heating outside the primary eyewall eventually leads to SEF facilitated by a broadening wind field, which enhances not only the frictional inflow but the inertial stability as well. Their result ultimately confirms that the SEF mechanism of SW82, which was obtained in a much simpler framework, is still relevant in a complicated realistic TC environment.The importance of diabatic heating to SEF is also emphasized by a number of other studies. Using cloud resolving simulations of real TCs, Judt and Chen (2010) showed that the high potential vorticity (PV) generation and accumulation from the convective activities in the rainbands in the incipient outer eyewall region play a key role in SEF. Moon and Nolan (2010) demonstrated that the diabatic heating resulted from convective and stratiform precipitation in outer rainbands can induce a secondary wind maximum.They argued that the accelerated tangential wind can wrap around the entire vortex if the diabatic heating lasts long enough, which could lead to SEF. Wang (2009) However, for a secondary eyewall with a large radius, the "cut-off" process appears to be inefficient, which cannot explain the observed pace of eyewall replacement.(b) Subsidence over the inner eyewall induced by...

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A New Parametric Model of Vortex Tangential-Wind Profiles: Development, Testing, and Verification

Cited by 63 publications

References 48 publications

Defining the vortex loading period and application to assess dynamic amplification of tornado-like wind loading

Defining the vortex loading period and application to assess dynamic amplification of tornado-like wind loading

A Parametric Wind–Pressure Relationship for Rankine versus Non-Rankine Cyclostrophic Vortices

Mechanisms Governing the Eyewall Replacement Cycle in Numerical Simulations of Tropical Cyclones

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