An Analytic Model of the Wind and Pressure Profiles in Hurricanes

Holland, Gregory

doi:10.1175/1520-0493(1980)108<1212:aamotw>2.0.co;2

Cited by 1,492 publications

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“…By patching such solutions together, we derived a uniformly valid wind profile, (45), which replicates that found in a numerical simulation using a nonhydrostatic, axisymmetric model. While not as elegant as the simple analytic wind profile proposed by Holland (1980), it does depend explicitly on environmental parameters. In particular, it predicts a steeper decline of wind with radius just outside the core when the mid-level environment is moist, the air-sea thermodynamic disequilibrium is large, and/or the precipitation efficiency is large.…”

Section: Discussionmentioning

confidence: 99%

Tropical cyclone energetics and structure

Emanuel¹

2004

Atmospheric Turbulence and Mesoscale Meteorology

151

150

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Section: Discussionmentioning

confidence: 99%

Tropical cyclone energetics and structure

Emanuel¹

2004

Atmospheric Turbulence and Mesoscale Meteorology

151

150

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“…For estimation at Stage 2, priors for the Holland function parameters, B Uniform(1,2.5), Rmax Uniform(15,55), are specified based on physical constraints (Holland 1980). Priors are also specified for Â Z .…”

Section: Estimation Of Multivariate Wind Modelmentioning

confidence: 99%

Hotspot Detection, Prioritization, and Security

Patil¹,

Acharya²,

Myers³

et al. 2017

Encyclopedia of GIS

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“…[36] Several studies [Holland, 1980;Atkinson and Holiday, 1977;Willoughby and Rahn, 2004] have used theoretical arguments and pressure-wind observations to relate V max to DP max . The relationships are typically of the power law type [37] Empirical evidence [Vickery and Twisdale, 1995;Vickery et al, 2000;Willoughby and Rahn, 2004;Powell et al, 2005;IPET, 2008] and theoretical arguments [Shen, 2006] show that R max increases when the hurricane intensity DP max decreases or the latitude 8 increases.…”

Section: Tc Recurrence Model For the Northern Gulf Of Mexicomentioning

confidence: 99%

“…The model is an extension of Smith's [1968] formulation and is referred to here as the Modified Smith (MS) model. Characteristics of the TC that are explicitly considered by the model are the maximum tangential wind speed V max , the radius of maximum winds R max , the parameter B that controls the shape of the radial profile of the tangential wind speed [Holland, 1980], the storm translation velocity V t , the surface drag coefficient C d , and the vertical diffusion coefficient K. When V t = 0, the wind field is symmetric around the storm center, whereas when the TC translates in the Northern (Southern) Hemisphere the field is asymmetric, with stronger horizontal and vertical winds right front (left front) of the storm. The model does not resolve rainbands, local convection and turbulent phenomena and therefore produces smooth wind fields.…”

Section: Introductionmentioning

confidence: 99%

Long‐term rainfall risk from tropical cyclones in coastal areas

Langousis

Veneziano

2009

Water Resources Research

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[1] We develop a methodology for the frequency of extreme rainfall intensities caused by tropical cyclones (TCs) in coastal areas. The model does not account for landfall effects. This makes the developed framework best suited for open water sites and coastal areas with flat topography. The mean rainfall field associated with a TC with maximum tangential wind speed V max , radius of maximum winds R max , and translation speed V t is obtained using a physically based model, whereas rainfall variability at both large scales (from storm to storm) and small scales (due to rainbands and local convection) is modeled statistically. The statistical component is estimated using precipitation radar data from the Tropical Rainfall Measuring Mission. Taylor's hypothesis is used to convert spatial rainfall intensity fluctuations to temporal fluctuations at a given location A. The combined physical-statistical model gives the distribution of the maximum rainfall intensity at A during an averaging period D for a TC with characteristics (V max , R max , V t ) that passes at a given distance from A. To illustrate the use of the model for long-term rainfall risk analysis, we formulate a recurrence model for tropical cyclones in the Gulf of Mexico that make landfall between longitudes 85°and 95°W. We then use the rainfall and recurrence models to assess the rainfall risk for New Orleans. For return periods of 100 years or more and long averaging durations (D around 12-24 h), tropical cyclones dominate over other rainfall event types, whereas the reverse is true for shorter return periods or shorter averaging durations.

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An Analytic Model of the Wind and Pressure Profiles in Hurricanes

Cited by 1,492 publications

References 0 publications

Tropical cyclone energetics and structure

Tropical cyclone energetics and structure

Hotspot Detection, Prioritization, and Security

Long‐term rainfall risk from tropical cyclones in coastal areas

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