Polygonal Eyewall and Mesovortices Structure in a Numerically Simulated Typhoon Rusa

Mashiko, Wataru

doi:10.2151/sola.2005-009

Cited by 9 publications

(13 citation statements)

References 8 publications

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“…6 and 10 of Hausman et al 2006). The dynamic stability of such flows, their nonlinear evolution and mixing properties, and their observational documentation and laboratory simulation have been topics of much recent interest (e.g., Schubert et al 1999;Kossin et al 2000;Montgomery 2000, 2002;Kossin and Eastin 2001;Kossin et al 2002;Terwey and Montgomery 2002;Wang 2002a,b;Knaff et al 2003;Nolan and Grasso 2003;Mashiko 2005;Kwon and Frank 2005;Yang et al 2007). …”

Section: Introductionmentioning

confidence: 99%

Internal Control of Hurricane Intensity Variability: The Dual Nature of Potential Vorticity Mixing

Rozoff

Kossin

Schubert

et al. 2009

Journal of the Atmospheric Sciences

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In hurricane eyewalls, the vertical stretching effect tends to produce an annular ring of high vorticity. Idealized, unforced nondivergent barotropic model results have suggested such rings of vorticity are often barotropically unstable, leading to strong asymmetric mixing events where vorticity is mixed inward into a more stable configuration. Such mixing events most often result in weakened maximum winds. The manner in which forcing modifies these unforced simulations remains an open question.In the current study, a forced, two-dimensional barotropic model is used to systematically study the sensitivity of vorticity rings to ring geometry and spatially and temporally varying forcing. The simulations reveal an internal mechanism that interrupts the intensification process resulting from vorticity generation in the hurricane eyewall. This internal control mechanism is due to vorticity mixing in the region of the eye and eyewall and can manifest itself in two antithetical forms-as a transient "intensification brake" during symmetric intensification or as an enhancer of intensification through efficient transport of vorticity from the eyewall, where it is generated, to the eye.

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Section: Introductionmentioning

confidence: 99%

Internal Control of Hurricane Intensity Variability: The Dual Nature of Potential Vorticity Mixing

Rozoff

Kossin

Schubert

et al. 2009

Journal of the Atmospheric Sciences

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“…The basic structure of TCs is axially symmetric, apart from the effect of storm motion (Fujibe 1996), and higher-order features such as polygonal eyewalls and mesoscale vortices (Muramatsu 1986;Schubert et al 1999;Kossin and Schubert 2004;Sato 2004;Mashiko 2005). There are a number of empirical formulas for wind and pressure distribution in TCs based on axial symmetry (Kurashige 1977;Leslie and Holland 1995), with application in many research fields, such as statistical and wind engineering studies (e.g., Fujii 1998).…”

Section: Introductionmentioning

confidence: 99%

Classification of Surface Wind Fields of Tropical Cyclones at Landfall on the Japan Main Islands

Fujibe¹,

Kitabatake²

2007

Journal of the Meteorological Society of Japan

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A statistical study was made for surface wind fields of tropical cyclones (TCs) at landfall on the main islands of Japan using the AMeDAS data. The analysis was performed for 70 TCs which made landfall on the southern part (south of 36 N) of the main islands during the period 1979-2004. The wind field within 200 km of each storm center was obtained by applying a composite analysis to hourly or tenminute observations for the four hours around landfall, with the direction of storm motion as the y-axis. Then the fuzzy c-means method (FCM), which is a kind of cluster analysis, was applied to classify the wind distribution. All but one of the resulting five patterns show stronger winds on the right side of the center than on the left, with different degrees of right-left asymmetry and the shapes of the strong wind area. The five patterns have some differences in the preferred season, central pressure, speed and direction of motion, and regions of landfall of storms. A supplementary analysis using the wind profiler data, available from 2001, reveals that the right-left asymmetry is roughly explained by the storm motion, although the storm-relative wind fields still have some asymmetry.

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“…Some numerical experiments were performed to simulate the polygonal eye (eyewall). Mesovortices associated with polygonal eyewalls were also simulated (Mashiko, 2005). Also in the case of a small eye, vorticity peaks are associated with mesoscale convection (MC) in the eyewall.…”

Section: Eye and Eyewall In Tropical Cyclonesmentioning

confidence: 99%

Toward a Better Understanding of the Moist Atmosphere: Cooperative Interaction between Moist Convection and the Larger-Scale

Yamasaki¹

2018

Monogr. Environ. Earth Planets

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The author's understanding of atmospheric phenomena in which moist convection plays an important role is described, based on the studies made by the author and other researchers in these 50 years. The atmospheric phenomena include tropical cyclones, the Madden-Julian oscillation, and mesoscale lows associated with Baiu/Meiyu fronts. The emphasis is placed on the various mechanisms involved in the cooperative interaction between these phenomena and moist convection. The instability of the larger-scale due to this cooperative interaction is referred to as conditional instability of the second kind (CISK), and wave-CISK in the case of waves. Important factors that contribute to CISK include the latent and sensible heat supplied from the sea surface, the surface friction, the Coriolis force (in many cases), and others. The importance of examining the field of latent instability, which corresponds to positive buoyancy of the rising air (convective available potential energy, CAPE), is emphasized in studying the CISK phenomena. The behavior of mesoscale organized convection is also described with emphasis.

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Polygonal Eyewall and Mesovortices Structure in a Numerically Simulated Typhoon Rusa

Cited by 9 publications

References 8 publications

Internal Control of Hurricane Intensity Variability: The Dual Nature of Potential Vorticity Mixing

Internal Control of Hurricane Intensity Variability: The Dual Nature of Potential Vorticity Mixing

Classification of Surface Wind Fields of Tropical Cyclones at Landfall on the Japan Main Islands

Toward a Better Understanding of the Moist Atmosphere: Cooperative Interaction between Moist Convection and the Larger-Scale

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