2014
DOI: 10.22499/2.6402.004
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Vacillation Cycles in WRF Simulations of Hurricane Katrina

Abstract: The intensification of hurricane Katrina (2005) in non-hydrostatic simulations with the WRF model is compared to a hydrostatic simulation conducted in a previous study with the Australian Bureau of Meteorology's Tropical Cyclone Limited Area Prediction System (TCLAPS). During the intensification both simulations exhibit inner-core vacillation cycles between highly asymmetric and more symmetric phases in the low-level potential vorticity (PV) and vertical velocity, although their evolution and structure are mo… Show more

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Cited by 5 publications
(5 citation statements)
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“…In terms of trying to understand what these fluctuations are, there are similarities to vacillation cycles particularly with the simulation conducted in Reif et al (2014) which exhibits transitions from ring-like to monopolar PV distributions but with a more ring-like state than Nguyen et al (2011). Although one significant difference compared to the vacillation cycles in Hardy et al (2021) is that the more monopolar state during the weakening phases were transient with PV 0 /PV max peaking at the end of the weakening phase before dropping rapidly.…”
Section: Discussionmentioning
confidence: 85%
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“…In terms of trying to understand what these fluctuations are, there are similarities to vacillation cycles particularly with the simulation conducted in Reif et al (2014) which exhibits transitions from ring-like to monopolar PV distributions but with a more ring-like state than Nguyen et al (2011). Although one significant difference compared to the vacillation cycles in Hardy et al (2021) is that the more monopolar state during the weakening phases were transient with PV 0 /PV max peaking at the end of the weakening phase before dropping rapidly.…”
Section: Discussionmentioning
confidence: 85%
“…In addition to the radial PV structure the PV also varies azimuthally with the intensity fluctuations. One way of describing the azimuthal PV symmetry is the method of Nguyen et al (2011) and Reif et al (2014), where the azimuthal standard deviation of PV is calculated at each radius and the maximum value is taken. A high standard deviation of PV implies a less azimuthally symmetrical storm.…”
Section: Model Simulation Of Intensity Fluctuationsmentioning
confidence: 99%
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“…Note that the transition cannot be diagnosed based solely on AMVs because they do not provide the low‐level wind distribution in the eyewall region. Another factor to consider is the process of alternating transitions between regime 1 and regime 2, known as the “inner‐core vacillation cycle,” which has been investigated in numerical simulations (Hankinson et al., 2014; Hardy et al., 2021; Nguyen et al., 2011; Reif et al., 2014). However, in the eye of Lan, there were no apparent alterations in the shape of the radial profile of the angular velocity within the eye following the rapid increase in angular velocity (Figure 19a).…”
Section: Asymmetric Features In the Eye Of Tropical Cyclonesmentioning
confidence: 99%
“…High-resolution numerical weather prediction models have been used to study the relationship between TC inner core structure and RI [21][22][23]. For example, Nguyen et al [21] examined the inner core structure evolution in the simulation of a high-impact hurricane Katrina (2005).…”
Section: Introductionmentioning
confidence: 99%