1. Introduction
There have been many attempts to understand how internal dynamics regulate the intensity of a tropical cyclone (TC). Most of these efforts were based on theoretical and numerical studies that neglect axial asymmetry. Since observations frequently show that TCs can be highly asymmetric during their intensification phase, such an approximation is not always justified. Asymmetries are more than geometric curiosities, and in fact, the current insufficient understanding of their dynamics is considered one main reason behind the relatively slow improvement in the accurate prediction of TC intensity over the past few decades (e.g., Wang and Wu 2004). This paper is an effort to provide further insight behind the instability mechanisms that can give rise to such TC asymmetries.
The definition of TC asymmetries is here reserved for the deformation of the vortex core into a variety of shapes, including vortex misalignments, ellipses, triangles, and polygons. Elliptical shapes and misalignments are perhaps among the most commonly observed. In particular, Li et al. (2013) analyzed 83 TC cases from synthetic aperture radar (SAR) imagery and found that a majority of them exhibited core asymmetries of these two types. At the mature TC stage, pronounced elliptical asymmetries were captured by both land-based radar (Mitsuta and Yoshizumi 1973; Kuo et al. 1999; Corbosiero et al. 2006) and airborne dual-Doppler radar measurements (Reasor et al. 2000; Aberson et al. 2006). Likewise, these asymmetries were also seen in cloud-resolving simulations (e.g., Braun 2002; Nuissier et al. 2005). Echoing Braun (2002), the distribution of radial flow, vertical motion, and precipitation were strongly modulated by the pronounced elliptical asymmetry. It is reasonable to ask what mechanisms can generate these elliptical asymmetries.
Inferring causality from either radar imagery or cloud-resolving simulations alone is not straightforward since the former provides only limited information and the information from the latter might be too complex. Actually, most of what is currently known relies on knowledge gained from simplified models, including two-dimensional barotropic nondivergent models (Reasor et al. 2000; Kossin et al. 2000) and the asymmetric balance (AB) model1 (Oda et al. 2005). According to Reasor et al. (2000), elliptical eyewalls can be the outcome of barotropic instability across the eyewall. They verified this instability by first examining the symmetric radial vorticity profile of Hurricane Olivia (derived from the dual-Doppler radar winds) and recognizing its resemblance to an annular vortex ring. It is known that a pronounced peak in the radial profile of vertical vorticity may accommodate counterpropagating vortex Rossby (VR) waves with the ability to phase lock and induce mutual growth. Then they revealed from linear stability analysis the existence of unstable modes. A nonlinear simulation further verified the release of this instability. On the other hand, Kossin et al. (2000) propose an alternative instability mechanism that requires the additional presence of a secondary ring of elevated vorticity (intended to mimic a concentric eyewall pattern). In this subtle variant of the typical barotropic instability (which they referred to as type-2 instability), elliptical eyewalls are the result of the unstable interaction between the VR wave excited on the outer edge of the primary eyewall and the VR wave excited on the inner edge of the secondary eyewall. Similarly, the three-dimensional AB stability analysis of Oda et al. (2005) also supported a type-2 instability as the mechanism responsible for the elliptical eyewall of Typhoon Herb.
The aforementioned discussion implies that elliptical eyewalls primarily result from the unstable interaction of two VR waves. Although this is a plausible scenario, a potential caveat of the two sets of equations (nondivergent barotropic vorticity and AB approximation) used to infer this conclusion is that they filter out inertia–gravity (IG) waves. Adding IG waves to the system introduces the possibility of an additional sustained exponential instability, which involves a VR wave in the TC core that spontaneously emits a frequency-matched spiral IG wave into the environment (e.g., Ford 1994a,b; Plougonven and Zeitlin 2002; Schecter and Montgomery 2003, 2004; Schecter 2008; Hodyss and Nolan 2008). The IG wave radiation can feed back positively on the VR wave, causing both to grow.
Until recently, the potential role of spontaneous radiative imbalance in TCs was tacitly assumed as inconsequential. However, the comprehensive linear stability analysis conducted by Menelaou et al. (2016) illustrated that IG wave radiation can be quite fast and potentially relevant to real-world TCs. In the context of annular vortices (which support both barotropic instability and spontaneous radiative imbalance), their analyses presented an extensive examination of the primary modes of instability for Rossby and Froude numbers appropriate for TCs. They showed that increasing the Froude number beyond unity tends to cause a transition (which can be either abrupt or gradual) from nonradiative instabilities (in which IG wave emissions are incidental) to radiation-driven instabilities. Abrupt transition referred to the sudden dominance of spontaneous imbalance (relative to barotropic instability), which for various case studies have been shown to occur above a critical Froude number. Gradual transition implied a continuous structural transformation of the dominant modes reflected in a diminishing influence of the interaction between two VR waves and a rise of the radiative instability mechanism. Menelaou et al. (2016) further noted (at least for their case studies) that whenever IG wave radiation predominantly controlled the instability, the dominant azimuthal wavenumber of the perturbation was primarily 2 (elliptical modes) and in some cases 3 (their Fig. 8).
Based on the above results, there is reason to believe that elliptical eyewalls may not always be the result of barotropic instability and that their generation might be due to a completely different instability mechanism. The purpose of the present study is to extend the study of Menelaou et al. (2016) to the next level of complexity toward the real atmosphere by using a three-dimensional nonlinear primitive equation model. Through a series of idealized nonlinear simulations initialized with dry nonconvective annular TC-like vortices and wave activity diagnostics, as well as supplemental linear eigenmode analysis and linear simulation, it will become evident that the elliptical eyewalls, which may form within a three-dimensional nonlinear model, can originate solely from spontaneous radiative imbalance.
There are a few subtle facts worth noting before advancing to the main text. The first fact concerns an additional instability mechanism that may be potentially relevant for TCs, which involves the mutual amplification of a VR wave and the potential vorticity (PV) anomaly that it generates in a suitably conditioned critical layer (Briggs et al. 1970). The second fact concerns any feedbacks (positive or negative) that resonant stirring of PV in one or more critical layers may have on the growth rates of spontaneous imbalance (Schecter and Montgomery 2006). Here, we will not consider any critical layers but will report their role within nonlinear simulations in a separate paper.
The third fact concerns the possibility of a multimechanistic instability in which both barotropic instability and spontaneous radiation may be operating simultaneously (Menelaou et al. 2016). Under these circumstances, the role of each mechanism in destabilizing the TC is difficult to assess without the right diagnostic (Schecter and Menelaou 2017).
The fourth fact concerns our restricted use of the term spontaneous radiative imbalance. In principle, this term may refer also to a mechanism different from the one we are currently investigating, in which the presence of a VR wave can be incidental. Such instabilities involve the overreflection of an IG wave at a critical layer and the simultaneous emission of an outward-propagating IG wave into the environment (e.g., Takehiro and Hayashi 1992; Billant and Dizès 2009; Park and Billant 2013). According to Menelaou et al. (2016), such instabilities are of secondary importance in TCs.
The fifth and last fact concerns the limitations of our idealized numerical configuration. Although idealized simulations provide useful insight, when dealing with actual real TC instabilities, the influence of moisture, boundary layer processes, and vortex baroclinicity (omitted in the current setup) should also be addressed. In theory, the reduction of static stability associated with cloud coverage could significantly affect the growth (directly and indirectly) of both barotropic and radiative instabilities (Schecter and Montgomery 2007). It can also affect the excitability of a special type of azimuthal wavenumber-1 (n = 1) VR wave that may be responsible for the vertical misalignment of the vortex core. Using a conventional cloud model designed to include all relevant physical processes, Schecter (2015) verified in part the theory of Schecter and Montgomery (2007; which neglects any boundary layer processes and the diabatically maintained secondary circulation) that moisture acts to inhibit vortex misalignment. Despite this, Schecter (2015) also noted some discrepancies between theory and details of asymmetric convection, especially within the eyewall region of the simulated TC. In addition, he further emphasized the potential impact of symmetric secondary circulation acting independently to inhibit the vortex tilt. On the other hand, Naylor and Schecter (2014) examined moderately-high-wavenumber fast barotropic instabilities (n between 4 and 6 and e-folding times ranging from 15 to 20 min) in simulated TCs using another conventional cloud model and concluded that moisture had little impact on the early (linear) wave growth leading to the development of eyewall mesovortices. One possible explanation as to why moist secondary circulation did not have a significant impact was related to the fast time scale of the initial exponential growth, which was substantially less than the convective time scale in the eyewall. Another possible explanation was related to the location of the cloudy updraft, which was found to exist outside the region where the instability occurred. The broader applicability of this result to relatively slower elliptical modes is currently unknown and merits future investigation. Finally, with regard to the baroclinic nature of real TCs, Hodyss and Nolan (2008) noted that the inclusion of vertical shear could reduce the growth rates of radiative instabilities. However, it is interesting to note that such reduction was suggested not to be an outcome of the vertical shearing acting as a sink of perturbation kinetic energy. Instead, the smaller growth rates documented in baroclinic vortices were primarily due to an overall reduction in the radial perturbation kinetic energy production and an increase in the dissipation.
The remainder of this paper is organized as follows. Section 2 describes the configuration of the nonlinear model. Section 3 presents an overview of the control simulation. Section 4 compares the dominant asymmetries generated from the nonlinear model with a simple linear model. Section 5 presents the wave activity diagnostics. Section 6 discusses further influences on the vortex core when the initial perturbation prescribed in the control simulation takes on a different horizontal structure. Section 7 briefly describes some long-term effect of nonlinear spontaneous imbalance. Section 8 contains a description and discussion of the sensitivity experiments. Section 9 summarizes the main findings of this study. The appendix supplements the main text.
2. Experimental setup
a. Configuration of the nonlinear model
In this study, we make use of a subset of the Weather Research and Forecasting (WRF) Model. WRF is a state-of-the-art modeling system that is widely used for both research and operational weather forecasting. Specifically, the numerical experiments are conducted with the Advanced Research version of WRF (ARW) dynamics solver, which integrates the fully compressible, nonhydrostatic Euler equations2 (Skamarock et al. 2008). In brief, the prognostic variables of the solver include the three components of the velocity vector, potential temperature, perturbation geopotential, and perturbation surface pressure of dry air, where the perturbation quantities are defined relative to a hydrostatically balanced reference state.
The computational domain is configured on the f plane with open lateral boundary conditions. The specified Coriolis parameter is
b. Setup of the control experiment
To induce motion, the stationary vortex is perturbed by an asymmetric thermal pulse. The pulse is designed to be a source/sink term Q in the potential temperature equation (activated only during the first 10 min of the simulation) instead of a more typical initial condition perturbation. This strategy is intended to mimic the diabatic processes associated with an asymmetric convective event in the vicinity of the TC core. Figures 1c and 1d illustrate, respectively, a horizontal and vertical cross section of the pulse. Since the main focus is related to an elliptical eyewall, the pulse is prescribed in the horizontal direction to have an azimuthal wavenumber n = 2 structure with a maximum amplitude of 5 K h−1 localized near the outer edge of the vortex core. In the vertical direction, it has a baroclinic structure with vertical wavenumber m = 2. Similar configuration can be easily incorporated within the simple linear model, thereby allowing for a direct comparison between the two models.
3. Overview of the control simulation
Figure 2 shows the spatial structure of the vortex core in terms of relative vorticity at the initial time and after 12 h of simulation at two selected vertical levels. There are a number of important features to note. First, the initial symmetric barotropic vortex deforms into an elliptical shape. Second, the ellipticity has a baroclinic structure (phase changes in the vertical). Third, the ellipticity amplifies with time. It is the mechanism behind this elliptical amplification that we will expound in this paper.
Moving toward the direction of identifying the dominant instability mechanism, some hints can be obtained by looking at the n = 2 vertical velocity perturbation
4. Comparisons with a simple linear model
With the above representation, the stability properties of the system can be determined directly from numerical analysis of the matrix
a. Linear stability analysis
b. Linear numerical simulation
With supporting evidence from the above stability analysis, the nonlinear WRF simulation is envisioned to evolve as follows: The initial small thermal perturbation excites one discrete baroclinic VR wave by deforming the mean PV distribution. In time, the VR wave emits a frequency-matched spiral IG wave into the environment. The emission has positive feedback on the VR wave, causing both to grow.
Perhaps nothing says more about the actual dominance of this linear instability mechanism in the WRF simulation as the way it compares to a linear simulation. Figure 5 (top panels) shows the response of the linear model [Eq. (9a)] to a slight elliptical deformation introduced in the geopotential field. The structure of the deformation resembles the one used to perturb the WRF Model. For comparison, the response of the WRF Model at the same time period is also shown (bottom panels). We focus on the similarities and differences between the dominant spatial patterns as the two models exhibit distinct differences that prevent in-depth quantitative comparison. With that being said, after a brief transition period, the most unstable (n = 2) eigenmode dominates the perturbation in the linear integration. The geopotential perturbation
5. Wave activity diagnostics
The
Figure 6 portrays the basic structure of angular pseudomomentum at different times. The top panels are contour plots of the PV component
Looking at
As mentioned previously, the divergence of the wave activity fluxes determines the local rate of change of wave activity. Figure 7 shows the time evolution of the vertically integrated
6. Higher azimuthal wavenumber thermal pulse
As briefly mentioned, a linear stability analysis for generic asymmetric instabilities revealed that the elliptical radiative eigenmode is the most dominant. This implies, for instance, that if the current basic-state vortex within a WRF simulation is perturbed by an initial thermal pulse with no preference toward a particular wavenumber, then n = 2 spontaneous radiative imbalance should be expected to dominate, deforming its core into an ellipse. In fact, this was verified with two independent WRF simulations in which the initial pulse was constructed from the superposition of azimuthal wavenumbers 1–8 of equal amplitude (and with an overall maximum amplitude of 5 K h−1 in the first simulation and 1 K h−1 in the second). For example, Fig. 8 shows the time evolution (from the second WRF simulation) of the maximum amplitude of select components from the Fourier expansion (n = 1, 8) of vertical velocity. Here, it can be seen that early in the simulation, the dominant wavenumbers appear to be 2 and 3. However, as time evolves, the n = 2 perturbation clearly dominates the overall asymmetry. Perhaps one notable difference worth mentioning is that in these simulations, the onset of spontaneous imbalance appears to be delayed for a few hours relative to when the pulse was prescribed with an n = 2 spatial structure.
On the other hand, linear stability analysis also revealed that other azimuthal wavenumber perturbations might possess significant (although secondary) growth rates. In particular, the second most unstable wavenumber for our control cyclone is characterized by n = 3, followed by n = 4. Of interest, for both wavenumbers, the dominant modes are radiative. This suggests that if the initial perturbation is biased toward one of these n, then spontaneous imbalance might deform the vortex core into other shapes besides ellipses. To test whether this actually occurs, two additional simulations are presented: one in which the pulse has an n = 3 structure and one with n = 4 structure. The maximum amplitude, vertical structure, and activation time remains the same as in the control case.
Figure 9 depicts the vortex structure after 5.5 h of simulation in terms of total PV q and the resultant dominant asymmetries (in terms of PV
7. Long-term effect of nonlinear spontaneous imbalance
To complete this part of the discussion, we briefly examine the long-term effect of nonlinear spontaneous imbalance. It should be recalled that a common long-term effect of traditional nonlinear barotropic instability involves intricate vortex merger and mixing processes that relax the initial annular vortex into one with a monotonic distribution (e.g., Schubert et al. 1999). It is intriguing to investigate whether a similar outcome can be induced also by an instability with a radiative character.
Figure 10 illustrates the long-term evolution of the control cyclone perturbed by an n = 2 thermal pulse in terms of total relative vorticity ζ at a representative vertical level. For reference, the initial vortex structure (t = 0 h) is also depicted. It can be seen that the dominant elliptical mode is preserved for more than 24 h until the formation of two distinct mesovortices (t = 35 h). Following this, the two mesovortices undergo a merging process leading to a nearly monopolar vorticity distribution by t = 41 h. The evolution of the control cyclone perturbed by the second most significant wavenumber (n = 3) evolves in a similar manner. Figure 11 illustrates its long-term nonlinear evolution. Like the previous case, the triangular mode remains the dominant until the formation of three distinct mesovortices. The mesovortices again undergo merging, thereby relaxing the vortex into a monopole (t = 42 h).
Finally, it should be noted that the appearance of mesovortices along with their subsequent merging (although incomplete by the end of a 48-h simulation) is also observed even when the cyclone is perturbed by an equivalent n = 4 thermal pulse (not shown). In this case, however, the long-term evolution appears to be more complicated because of the influence of modes with different wavenumbers. Here, although the n = 4 mode remains the dominant for more than 9 h in the simulation, it transitions into an equivalent n = 3 mode by 18 h. Eventually, the vortex splits into a number of vortices, which seems to be an outcome of the interaction between n = 3 and 4 modes together.
8. Sensitivity experiments
To this point, we have considered a cyclone with a particular annular vorticity distribution. We remind that annular vortices support the possibility of more than one instability, with traditional barotropic instability considered the most frequently excited. Despite this, we provided evidence of spontaneous IG wave radiation being the fastest destabilizing mechanism (within the nonlinear WRF simulation), dominating the growth of an elliptical deformation for certain vorticity profiles. Here, the extent to which spontaneous imbalance surpasses barotropic instability is further examined with a number of sensitivity tests performed on two pertinent vortex shape parameters: the annulus thickness controlled by the parameter μ in Eq. (1) and the depth of the central vorticity hole (occasionally referred to as the hollowness) controlled by the parameter β. The growth rates for coupled VR wave barotropic instability tend to increase as the central vorticity hole becomes deeper (steeper radial PV gradient) and as the vortex annulus becomes thinner (e.g., Schubert et al. 1999). Physically, thinner annuli imply a shorter separation distance between the two coupled VR waves and thus relatively stronger radial PV fluxes across each wave by the other (and therefore higher growth rates).
Figure 12 depicts the initial vortex structure (in terms of relative vorticity) specified in each sensitivity case. The experiments are grouped into three categories. In the first category (Fig. 12a), the vortex annulus is gradually made thinner while leaving its hollowness unaffected (similar to the control experiment, which is illustrated by the black curve). In the second category (Fig. 12b), only the vortex hollowness is modified by gradually becoming deeper. The third category (Fig. 12c) considers a deep hollow vortex with an annulus that is gradually made thinner. Note that the magnitude of vorticity in each experiment is scaled so as to give the same maximum azimuthal velocity (60 m s−1). Also note that all vortices are perturbed using the same asymmetric n = 2 thermal pulse as in the control experiment.
Figure 13 displays snapshots of the resultant asymmetry for the first category in terms of the n = 2 PV perturbation (depicted at three different isentropic levels) and the n = 2 vertical velocity perturbation. All snapshots are taken at 6.5 h within a simulation, and the illustrated patterns are representative of the spatial structure of the dominant asymmetry. Each column corresponds to a different case characterized by an initial vortex with a different annulus thickness. Turning to the PV perturbation, it is immediately seen that the resultant patterns exhibit profound similarities. In all cases, the asymmetry resembles only one baroclinic outer-edge VR wave, thereby excluding the possibility of barotropic instability being in action. Comparing the pattern orientation between different isentropic levels, it is also seen that the asymmetries are either nearly in phase or roughly 180° out of phase. Such a phase relation further rules out the presence of baroclinic instability. As to the vertical velocity perturbation, the patterns are again very similar for the three cases. Here, the asymmetry clearly resembles the outer-edge VR wave coupled to a spiral IG wave indicating that spontaneous imbalance remains the dominant destabilizing mechanism for this group of experiments.
Switching to the second category, the structure of the dominant asymmetry is portrayed in Fig. 14. Each column now corresponds to a vortex with different hollowness, ranging from shallow (left column: control case
From the above experiment, it appears that deep hollow vortices with the particular maximum velocity and ambient conditions fall within a regime where both instabilities of interest (barotropic and radiative) may be simultaneously in action. The third category of sensitivity tests is tailored to provide some insight on how differently a vortex might evolve under this regime if additionally one modifies the annuli thickness.
Figure 15 shows snapshots of total PV over time for the three cases, which here will be referred to as wide (left column:
9. Concluding remarks
Observations often reveal the existence of distinct asymmetries within the cores of intense tropical cyclones (TCs). Evidence suggests that these asymmetries may strongly modulate the storm characteristics and even their intensity. Despite this, considerable efforts to understand the physics and dynamics of TCs has been attempted using theory and models that assume axial symmetry. As a result, fundamental questions remain about the origin and role of asymmetries.
By TC asymmetries, we refer to vortex misalignments, elliptical eyewalls, and triangular and polygonal shapes. In this study, we revisit the potential mechanisms behind one of the most frequently observed: the elliptical eyewalls. Previously, it was suggested that elliptical eyewalls primarily result from barotropic instability, which may operate at different regions of the vortex: (i) across an annular eyewall because of the coupling and mutual growth of two vortex Rossby (VR) waves excited on the two eyewall edges (Reasor et al. 2000) and (ii) in the case of a concentric eyewall pattern, because of the interaction of the VR waves excited on the outer edge of the inner eyewall and the inner edge of the outer eyewall (Kossin et al. 2000; Oda et al. 2005).
The aforementioned results were largely based on simple models that filtered out inertia–gravity (IG) waves. Incorporating IG waves into the system introduces the possibility of an additional instability, the spontaneous radiative imbalance. This mechanism involves a VR wave in the TC core that spontaneously emits a frequency-matched spiral IG wave into the environment. Here, we argued that elliptical eyewalls, which may form within more realistic numerical models, can originate solely because of spontaneous imbalance.
Our control experiment is implemented in a dry three-dimensional nonlinear primitive-equation model initialized with a balanced mature nonconvective annular TC-like vortex. We presented evidence that in this system, which supports both barotropic and radiative instability, the resultant amplifying elliptical deformation was caused by one azimuthal wavenumber (n = 2) baroclinic VR wave (excited on the outer edge of the vortex annulus) that spontaneously amplified as a result of producing radiation. No sign of a second VR wave (excited on the inner edge) was found, thereby ruling out the possibility of barotropic instability. The amplification of the ellipticity was explained based on the conservation of angular pseudomomentum. Primarily, the VR wave is associated with positive pseudomomentum. On the other hand, the spiral IG wave was shown to have negative pseudomomentum that amplifies with time. Thus, producing IG wave radiation compels the VR wave to grow. Our arguments were further supported by an independent linear eigenmode analysis and a linear simulation. It was shown that the dominant asymmetry coming out from the nonlinear model closely resembles the most unstable radiative linear eigenmode. The evolution of the asymmetry appeared to be in good agreement with a linear integration in which spontaneous imbalance dominates.
A number of sensitivity experiments performed on two pertinent shape parameters of the basic-state vortex (annulus thickness and hollowness) revealed that (i) spontaneous radiative imbalance can remain the dominant destabilizing mechanism for various vortices and thus provides confidence that the main findings are not restricted to a particular setup and (ii) the deformation of vortex core can sometimes be the result of a multimechanistic process where both radiative imbalance and barotropic instability operate simultaneously. We did not attempt to quantitatively assess the role of each mechanism because without the right diagnostic this task can lead to inconsistencies (Schecter and Menelaou 2017). We plan to report on this in a future paper. In closing, we wish to note that the idealized experiments described herein exclude both deep convection and boundary layer processes. Thus, they are an oversimplification of real TCs. The broader applicability of the present findings to actual TCs requires further investigation using in part high-resolution cloud-resolving simulations.
Acknowledgments
The authors thank three anonymous reviewers for their constructive comments. This research was sponsored by the Natural Science and Engineering Research Council of Canada and Hydro-Quebec through the IRC program. Konstantinos Menelaou would like to thank his postdoctoral mentor Dr. David Schecter for stimulating discussions and insightful comments. The simulation data used in this paper can be obtained from the first author, upon request. Konstantinos Menelaou dedicates this work to his son Menelaos for being the major source of his inspiration and motivation.
APPENDIX
Empirical Normal Mode Analysis
From a practical aspect, to build ENMs using the control WRF simulation, we first interpolate the model data onto an isentropic coordinate system centered at the vortex core. Then we define the perturbation fields to be deviations from an azimuthal invariant basic state. After, the fields are decomposed as a sum of Fourier modes in the azimuthal direction. We will consider only azimuthal wavenumber-2 perturbations since they are the most pertinent to our experiment.
Before proceeding, we point out that one ENM can only act as a standing wave. To form a propagating wave, we seek at least two modes with similar contribution to the total variance (degenerate eigenvalues), that have the same oscillation frequency, and they are in quadrature (90° phase difference). Figure A1 illustrates the dominant pair of ENMs (in terms of PV and vertical velocity) and their corresponding time series (PCs) and power spectra. This pair of modes contribute 78.5% (mode
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The theory behind the AB model is derived in Shapiro and Montgomery (1993).
In other words, the conventional WRF Model is integrated without including moisture and with all physics parameterizations turned off.
An ENM analysis verified that the dominant patterns explaining most of the statistical variance in a 12-h simulation period closely resemble the patterns illustrated in Fig. 3 (see the appendix for further details and Fig. 15).
Here, the perturbation equations are formulated in pseudoheight vortex-centered cylindrical coordinates and incorporate hydrostatic and Boussinesq approximations. The variable z represents pseudoheight as defined in Hoskins and Bretherton (1972) rather than the actual height variable z. The basic state of the vortex satisfies gradient wind and hydrostatic balance.
The reader is reminded that in contrast to the linear model (which assumes constant N), the far-field temperature and pressure in the WRF Model is prescribed according to the Jordan (1958) sounding. Better agreement between the two models can be obtained from the following steps: First, the vertical profile of temperature that gives constant N2 is obtained analytically. Then the vertical profile of pressure is extracted from the hydrostatic balance. We performed this exercise and subsequently compared the output between two WRF simulations. The results were found to be qualitatively very similar (not shown).
The system is discretized on a staggered radial grid that is made up of two subgrids. Details about the staggering can be found in appendix A of Menelaou et al. (2016). The domain extends from r = 0 to r = 220 km on a regularly spaced grid with 100-m grid spacing.
In pressure coordinates,
It is worth mentioning that for the particular control cyclone, perturbations with azimuthal wavenumbers 5 ≤ n ≤ 8 exhibit relatively smaller growth rates with respect to large-scale instabilities with n = 2 or 3. Independent WRF simulations perturbed by thermal pulses prescribed to have one of these wavenumbers (between 5 and 8) resulted in the excitation of a radiative elliptical mode, and no sign of high-n core deformations were observed (not shown).