Abstract
Solutions of the secondary (transverse) circulation equation for an axisymmetric, gradient balanced vortex are used to better understand the distribution of subsidence in the eye of a tropical cyclone. This secondary circulation equation is derived using both the physical radius coordinate r and the potential radius coordinate R. In the R-coordinate version, baroclinic effects are implicit in the coordinate transformation and are recovered in the final step of transforming the solution for the streamfunction Ψ back from R-space to r-space. Two types of elliptic problems for Ψ are formulated: 1) the full secondary circulation problem, which is formulated on 0 ≤ R < ∞, with the diabatic forcing due to eyewall convection appearing on the right-hand side of the elliptic equation; 2) the restricted secondary circulation problem, which is formulated on 0 ≤ R ≤ Rew, where the constant Rew is the potential radius of the inside edge of the eyewall, with no diabatic forcing but with the streamfunction specified along R = Rew. The restricted secondary circulation problem can be solved semi-analytically for the case of vertically sheared, Rankine vortex cores. The solutions identify the conditions under which large values of radial and vertical advection of θ are located in the lower troposphere at the outer edge of the eye, thereby producing a warm-ring thermal structure.
1 Introduction
The concept of hub clouds and eye moats comes from aircraft observations made by Simpson and Starrett (1955). Figure 1 is adapted from their schematic diagram of Hurricane Edna (9–10 September 1954). Of particular interest is the hub cloud near the circulation center and the clear moat at the edge of the eye. In later years, intense storms like Edna have been found that also possess a warm-ring thermal structure in the lower troposphere—where the temperature surrounding the center of a tropical cyclone is greater than the center, which is in contrast to a warm-core thermal structure where temperature decreases radially outward from the center. A good example is Hurricane Isabel on 13 September 2003, when it had tangential winds in excess of 70 m s−1. Figure 2 shows NOAA WP-3D aircraft data for this storm. The two panels show tangential wind (black curves), temperature (red curves), and dewpoint temperature (blue curves) for a 2.1 km altitude radial leg (lower panel) and a 3.7 km altitude radial leg (upper panel). A warm-ring thermal structure occurs at both levels, with the warmest and driest air at 25 km radius, which is at the outer edge of the eye. In temperature, the warm ring is approximately 4.2°C warmer than the vortex center at 3.7 km and 5.0°C warmer than the vortex center at 2.1 km. As can be seen from the dewpoint depressions, the warm-ring region near 25 km radius is associated with dry, subsiding air at the outer edge of the eye. Enhanced subsidence at the outer edge of the eye tends to produce an eye-moat. Note that the center of the eye is saturated at z = 2.1 km but is not saturated at z = 3.7 km, which is consistent with the top of the hub cloud being located at z ≈ 3 km. The tangential wind profiles reveal a vorticity structure more complicated than the simple structure that will be assumed in Section 3. This is evident from the kinks that occur near r ≈ 20 km for z = 2.1 km and near r ≈ 27 km for z = 3.7 km. In other words, Isabel had a somewhat “hollow” vorticity structure compared to the radially uniform structure that is assumed in Section 3.
FIGURE 1

Schematic diagram of the eye of Hurricane Edna, 9–10 September 1954, as adapted from Simpson and Starrett (1955). At this time, Hurricane Edna had a steep corrugated eyewall on its north side and a sloping eyewall on its south side. Such variations in eyewall slope are often interpreted as an effect of environmental vertical shear (see Hazelton and Hart, 2013; Hazelton et al., 2015; and the recent review by Rogers, 2021). The stratocumulus “hub cloud” near the circulation center and the moat near the edge of the eye indicate that in strong hurricanes the subsidence is not uniform across the eye, but rather is concentrated near the edge of the eye. Enhanced subsidence in the lower troposphere near the edge of the eye leads to a lower-tropospheric warm-ring thermal structure, as shown in Figure 2 for Hurricane Isabel (2003). A photograph of Isabel’s hub cloud is shown in Figure 3, which indicates that the hub clouds in Isabel and Edna were of approximately the same height, although Isabel’s eye diameter was somewhat larger than that of Edna.
FIGURE 2

Radial profiles of NOAA WP-3D aircraft data for Hurricane Isabel on 13 September 2003. The panel (B) is for the z = 2.1 km flight leg (1922 to 1931 UTC) and the panel (A) for the z = 3.7 km flight leg (1948 to 1956 UTC). Black curves are for tangential wind, red curves for temperature, and blue curves for dewpoint temperature. Adapted from Schubert et al. (2007).
The photograph shown here as Figure 3 was taken from the WP-3D aircraft near the edge of the eye, looking towards the hub cloud at the center of the eye. The top of the hub cloud is near 3 km altitude, so the radial leg in the upper panel of Figure 2 is just above the top of the hub cloud, while the radial leg in the lower panel is just below the top of the hub cloud, as is evident in the dewpoint depressions. Since the first internal mode Rossby length in the eye of Isabel at this time is on the order of 10–15 km, the eye diameter ( km) is approximately 5 Rossby lengths, allowing for the rare opportunity to view balanced dynamical structure over several Rossby lengths in a single photograph. For comprehensive discussions of Hurricane Isabel, see Montgomery et al. (2006), Aberson et al. (2006), Bell and Montgomery (2008), Nolan et al. (2009b,a), and Stern et al. (2016). The eye-moat and mesovortex structure of Hurricane Isabel on 12 September 2003 is discussed by Kossin and Schubert (2004) and Rozoff et al. (2006).
FIGURE 3

Photograph of the eye of Hurricane Isabel on 13 September 2003. The 3 km tall hub cloud at the center of the eye is surrounded by a moat of clear air or shallow stratocumulus. Beyond the hub cloud and on the opposite side of the eye (at a distance of km) lies eyewall convection extending up to 12–14 km. Photo courtesy of Sim Aberson.
Another common feature of intense tropical cyclones is the “stadium effect,” caused by the outward slope of the eyewall. An example of this effect, taken from the CloudSat data archive, is shown in Figure 4. This vertical cross-section was obtained when CloudSat’s 94 GHz Cloud Profiling Radar made a fortuitous pass directly over the eye of Typhoon Choi-Wan on 15 September 2009. In the top panel of Figure 4, the vertical scale is stretched to highlight the vertical structure of the radar reflectivity. In the bottom panel, only the region inside a radius of 50 km is shown, so the aspect ratio is one-to-one, which clearly reveals the approximate 45° baroclinic tilt of the eyewall updraft. The incorporation of such baroclinic tilt is an important aspect of the theoretical analysis presented here in Sections 2 and 3.
FIGURE 4

At 0353 UTC on 15 September 2009, CloudSat’s 94 GHz Cloud Profiling Radar passed directly over Typhoon Choi-Wan. This figure shows a north-south vertical cross-section of radar reflectivity for the 65 m s−1 storm (north is to the right) when it was located approximately 450 km north of Guam. In the panel (A), the horizontal scale is compressed to exaggerate the vertical structure. In the panel (B), only the region inside a radius of 50 km is shown (which excludes the secondary eyewall), but the aspect ratio is one-to-one, thus showing the sloping eyewall (or “stadium effect”) as would be seen by an observer on a research aircraft. Reflectivity values less than − 20 dBZ have been removed for clarity. This figure has been adapted from Schubert and McNoldy (2010) and is based on radar data made available through the NASA CloudSat Project.
An interesting feature of nonhydrostatic, full-physics, tropical cyclone models is that they can produce intense storms with a temperature field that has a warm-core structure at upper levels, but a warm-ring structure at lower levels. The first example of this was presented by Yamasaki (1983), whose Figure 10A is reproduced here as Figure 5. The upper tropospheric warm-core anomaly is 17°C and is centered at a height of 14 km. A warm-ring thermal structure is found between heights of 2 and 8 km, and at a radius of approximately 7–8 km. Much of the present paper is devoted to a balanced dynamical interpretation of the production of such an overall thermal structure.
FIGURE 5

Vertical cross-section of the temperature anomaly (°C) from the nonhydrostatic, full-physics model simulation of an intense tropical cyclone by Yamasaki (1983). A warm-core thermal structure (17°C anomaly) is found at heights near 14 km, while a warm-ring thermal structure is found near r ≈ 7–8 km between heights of 2 and 8 km. As shown in Eq. 35 the warm-ring thermal structure is associated with absolute angular momentum surfaces that are tilted in opposite directions on the two sides of the warm ring. The upper troposphere/lower stratosphere cold anomaly produced by this model is similar to that observed by Johnson and Kriete (1982) for tropical mesoscale systems using radiosonde data (their Figure 3) and by Rivoire et al. (2016) using COSMIC GPS radio occultation data. Adapted from Figure 10A of Yamasaki (1983).
For the study of eye subsidence, one can envision using (at least) four different sets of independent variables in space: radius and log-pressure, (r, z); potential radius and log-pressure, (R, Z); radius and potential temperature, (r, θ); or potential radius and potential temperature, (R, Θ). Note that Z = z and Θ = θ, but the upper case symbols Z and Θ are used because (∂/∂Z) ≠ (∂/∂z) and (∂/∂Θ) ≠ (∂/∂θ). Concerning the use of (R, Θ)-coordinates, since the flow in the eye is inviscid and adiabatic, both R and Θ are Lagrangian coordinates, which means that a given parcel in the eye stays on its original R-surface and its original Θ-surface. In other words, when the mathematical analysis is performed in (R, Θ)-space, there is no need for a transverse circulation equation, and the dynamics is more easily understood in the framework of PV and its invertibility principle, as discussed in a theoretical context by Schubert and Alworth (1987), Möller and Smith (1994), and Schubert (2018), and in an observational context by Martinez et al. (2019). This is in sharp contrast to the use of (r, z)-coordinates, where neither r nor z is a Lagrangian coordinate. In this paper, we have analyzed the transverse circulation problem in (R, Z)-coordinates, a setting in which one coordinate is Lagrangian and the other is not. There is a duality between the use of (R, Z)-coordinates and the use of (r, θ)-coordinates, since in the (r, θ)-formulation, one coordinate is Lagrangian (recall that in the eye) and the other is not. Thus, the essential results obtained in Section 3 using the (R, Z)-formulation could also be obtained using the (r, θ)-formulation. However, some details involved in the two formulations are different. For example, in the (r, θ)-formulation, a convenient vertically sheared Rankine core has solid-body rotation on each isentropic surface rather than on each isobaric surface. Also, in the elliptic problem (Eq. 16), the outer boundary is the coordinate surface R = Rew, while in the (r, θ)-formulation a sloping eyewall outer boundary would not be an r-surface, thereby producing an additional difficulty in the solution of the elliptic problem. Thus, while the difficulties of including baroclinic effects in the (r, z)-formulation can be overcome by using either the (R, Z)-formulation or the (r, θ)-formulation, the analysis presented in this paper is indicative of our slight preference for the (R, Z)-formulation.
The paper is organized as follows. Section 2 first presents the balanced vortex equations in the (r, z)-formulation, and then transforms to the (R, Z)-formulation. For certain baroclinic vortices, the (R, Z) formulation of the transverse circulation equation can be solved semi-analytically using a vertical transform approach (Section 3). These semi-analytical solutions are used to generalize the barotropic vortex results of Schubert et al. (2007) and to better understand the role of baroclinicity in the distribution of subsidence in the eye of an intense tropical cyclone.
2 Gradient balance theory
For simplicity, the analysis presented here considers an axisymmetric, balanced flow in the inviscid fluid that lies above the frictional boundary layer. To simplify the primitive equation model to a balanced vortex model, we assume that the azimuthal flow remains in a gradient balanced state, i.e., we discard the exact radial equation of motion and replace it with the gradient balance condition given below as the first entry in Eq. 1. A sufficient condition for the validity of this assumption is that the diabatic forcing effects have slow enough time scales that significant, azimuthal mean inertia-gravity waves are not excited. We shall describe this inviscid flow using the log-pressure vertical coordinate z = H ln(p0/p), where H = RdT0/g is the constant scale height, p0 and T0 are constant reference values of pressure and temperature, Rd is the gas constant for dry air, and g is the acceleration of gravity. Under the balance condition, the governing equations arewhere κ = Rd/cp, cp is the specific heat at constant pressure, f the constant Coriolis parameter, ρ(z) = ρ0e−z/H the pseudo-density in the log-pressure coordinate, ρ0 = p0/(RdT0) the constant reference density, ϕ the geopotential, u the radial velocity component, v the azimuthal velocity component, w the log-pressure vertical velocity, and Q the diabatic heating. The potential vorticity (PV) equation, derived from Eq. 1, iswhere D/Dt = (∂/∂t) + u(∂/∂r) + w(∂/∂z) is the material derivative,is the potential vorticity, is the potential temperature, , and the potential radius R is defined in terms of the absolute angular momentum by .
Using the mass conservation principle, we define a streamfunction ψ such thatFor convenience, we shall refer to ψ as the “streamfunction,” although it is worth noting that it is actually rψ, rather than ψ, that is the “streamfunction” for the transverse mass flux. This flexibility with the factor r proves convenient for the analytical solutions presented in Section 3. Using the gradient balance relation in the tangential wind equation, and using the hydrostatic relation in the thermodynamic equation, we can writewhere ϕt = (∂ϕ/∂t) is the geopotential tendency, and where the static stability A, the baroclinicity B, and the inertial stability C are given by
Eliminating ϕt between the two equations in Eq. 5, then expressing u and w in terms of ψviaEq. 4, and requiring that w = 0 at the top and bottom boundaries, we obtain the following transverse circulation problem (Eliassen, 1951).
Note that , so that this problem is elliptic if (f + 2v/r)P > 0, which is typically the case for the tropical cyclone core region studied in this paper.
According to Eq. 7, subsidence in the hurricane eye at a particular time is forced by the (∂Q/∂r) term and is shaped by the three spatially varying coefficients A, B, C at that time. Analytical progress in understanding eye subsidence can more easily be made if we obtain a transformed version of Eq. 7 that contains only two spatially varying coefficients and does not contain any second order mixed derivative terms. The balanced vortex model and the associated transverse circulation equation take simple forms when the original independent variables (r, z, t) are replaced by the new independent variables (R, Z, τ), where Z = z and τ = t but ∂/∂Z and ∂/∂τ imply fixed potential radius R. This transformation (Schubert and Hack, 1983) makes use offrom which it follows thatDefining U, V, W, and Φ bywhere ζ = r−1∂(rv)/∂r is the relative vorticity, the governing equations (Eq. 1) transform to (see Appendix A for further details)where the effective inertial frequency and the effective buoyancy frequency N are defined byIt follows that r and R are related by and that rv = RV. Note that the system in Eq. 11 is formally simpler than the system in Eq. 1, even though no additional approximations have been introduced. Also note that the effective buoyancy frequency N can differ greatly from the usual buoyancy frequency in the cyclone core, but they are essentially the same in far-field regions where |ζ| ≪ f and the angular momentum surfaces are nearly vertical, so that (∂T/∂Z) ≈ (∂T/∂z) and (∂θ/∂Z) ≈ (∂θ/∂z).
Using the fourth entry in Eq. 11, we define the streamfunction Ψ such thatFrom Eqs. 4 and 13, and the transformation relations in Eq. 8, it can be shown that RΨ and rψ differ only by a constant, which, without loss of generality, we can take to be zero, so that RΨ = rψ. Using the gradient balance relation in the tangential wind equation, and using the hydrostatic relation in the thermodynamic equation, we can writewhere Φτ = (∂Φ/∂τ) = (∂ϕ/∂t) is the “geopotential tendency.” Eliminating Φτ between these two equations, and then expressing U and W in terms of Ψ via Eq. 13, we obtain the following transverse circulation problem.The boundary conditions on Ψ come from the requirement that the log-pressure vertical velocity vanishes at the bottom and top boundaries, that the radial component of the secondary circulation vanishes at R = 0, and that the secondary circulation goes to zero as R → ∞. To summarize, the secondary circulation in the entire region is obtained by solving the elliptic problem in Eq. 15 for specified N(R, Z), , and Q(R, Z). Note that Eq. 15 is formally simpler than Eq. 7 since it does not contain baroclinic, second order cross derivative terms. Baroclinic effects are implicit in Eq. 15 and are recovered when the solution Ψ(R, Z) is transformed back to the physical space form ψ(r, z) using ψ = (R/r)Ψ.
We can understand several aspects of eye subsidence by solution of a restricted version of the full elliptic problem in Eq. 15. In this simplified problem, we restrict our attention to the eye region 0 ≤ R ≤ Rew, where the eyewall potential radius Rew (i.e., the inner edge of the eyewall) is assumed to be a constant. In the eye region, we assume that Q = 0, so that the elliptic problem in Eq. 15 simplifies as follows.
To summarize, the secondary circulation in the eye is obtained by solving the homogeneous, elliptic problem in Eq. 16 with specified N(R, Z), , and Ψew(Z). Note that all the dynamics in the region Rew < R < ∞, described explicitly in Eq. 15, has been replaced in Eq. 16 by the specification of Ψ(R, Z) at R = Rew. Because the elliptic problem in Eq. 16 is homogeneous, the solution Ψ(R, Z) has no local maxima or minima in the interior of the restricted domain (i.e., in the eye). For the problems considered here, we have chosen Ψew(Z) ≤ 0, so that Ψ(R, Z) attains its minimum value on the outer boundary R = Rew and its maximum value of zero on the other three boundaries, R = 0 and Z = 0, ZT, where ZT = zT represents the tropopause. By concentrating attention on the restricted problem (Eq. 16), the goal is to understand how the spatial structure of eye subsidence is shaped by N(R, Z), , and Ψew(Z). A semi-analytical solution of a simplified version of Eq. 16 is given in Section 3, using vertical transform methods. An alternative approach, not explored here, is to study solutions of the geopotential tendency equation (see Appendix B).
3 Subsidence in a vertically sheared, Rankine vortex core
3.1 The specified vortex
We now solve Eq. 16 semi-analytically for particular choices of the coefficients and N(R, Z). For the example given here, the vortex core is assumed to have constant angular velocity (i.e., solid body rotation) on each isobaric surface, but with the angular velocity varying in the vertical. In terms of v(r, z) and θ(r, z), the specified vortex for 0 ≤ r ≤ rew(z) and 0 ≤ z ≤ zT is given bywhere, for this vertically sheared Rankine core, the effective inertial frequency is also the absolute vorticity in the eye, the constants and are the specified values of at z = 0 and z = zT respectively, and , with the constant Rew denoting the potential radius of the inner edge of the eyewall. The specified function θc(z) is the potential temperature at the vortex center, which is simply taken as a quadratic function of z varying from 300 K at z = 0 to 370 K at z = zT = 16 km, i.e.,This profile, shown by the dashed blue line in Figure 6, has been constructed to approximate the θ-profile for the center of Hurricane Hilda, as described by Hawkins and Rubsam (1968) and shown by the solid blue curve in Figure 6. For reference, the mean profiles for the West Indies, as given by Jordan (1958), and the mean profiles for the Marshall Islands and GATE, as given by Fulton and Schubert (1985), are shown by the other colored curves, thereby illustrating the warming of the core of Hilda relative to a far-field environment. In addition to this profile, we have chosen the following parameters for our analyses of both the barotropic and baroclinic cases: Rd = 287 J kg−1 K−1, T0 = 300 K, p0 = 1000 hPa, g = 9.81 m s−2, H = RdT0/g = 8,777 m, f = 5 × 10–5 s−1, and zT = 16 km.
FIGURE 6

The solid blue curve is the θ profile in the core of Hurricane Hilda, as described by Hawkins and Rubsam (1968). The dashed blue curve is the quadratic approximation θc(z) given by Eq. 18. For reference, the annual mean and hurricane season mean profiles for the West Indies (Jordan, 1958) and the mean profiles for the Marshall Islands and GATE (Fulton and Schubert, 1985) are shown by the other colored curves. The maximum warm-core anomaly in θ occurs at 300 hPa and is approximately 21 K. The horizontal line at z = 16 km denotes the upper boundary used in the calculations presented in Section 3.
As is easily confirmed, the v(r, z) and θ(r, z) fields given in Eq. 17 satisfy the thermal wind relation . The choice corresponds to a barotropic vortex, which is the case studied by Schubert et al. (2007). The vortex specified in Eq. 17 is plotted in the left panel of Figure 7 for the barotropic case and Rew = 240 km, so that rew(z) = 30 km and v(rew(z), z) = 47.3 m s−1. For barotropic cases such as the one shown in Figure 7A, the isolines of v and R are vertical, while the isentropes are parallel to the isobars. The right panel of Figure 7 is for the baroclinic case , , and Rew = 240 km, so that m s−1, rew(0) = 20 km, rew(zT) = 40 km, v(rew(0), 0) = 71.5 m s−1, and v(rew(zT), zT) = 35 m s−1. Note that this baroclinic vortex is warm-core at all levels, with the highest values of θ on any isobaric surface occurring at r = 0 and with outward-tilting R-surfaces. The maximum values of v(r, z) occur on the Rew = 240 km surface, which is consistent with the observation (Stern and Nolan, 2009) that, for the majority of storms, the radius of maximum wind is closely approximated by an R-surface.
FIGURE 7

Structure of the Rankine vortex core, as described by Eq. 17, for both the barotropic case (A) where and the baroclinic (vertically sheared) case (B) where and . The three sets of contours (black, blue, and red) are for v(r, z), R(r, z) and θ(r, z) in the eye region, which is bounded by an eyewall at R = Rew = 240 km. The physical radius for the eyewall, given by , has a constant value of 30 km in the barotropic case but slopes outward between r = 20 km and r = 40 km in the baroclinic case. In panel (A), the black contours for v(r, z) run from 5 to 45 m s−1 in increments of 5 m s−1, the blue contours for R(r, z) run from 15 to 240 km in increments of 15 km, while the red contours for θ(r, z) run from 305 K to 365 K in increments of 5 K. In panel (B), the black contours for v(r, z) run from 5 to 70 m s−1 in increments of 5 m s−1, the blue contours for R(r, z) run from 15 to 240 km in increments of 15 km, while the red contours for θ(r, z) run from 295 K to 365 K in increments of 5 K.
Written in terms of V(R, Z) and θ(R, Z), the specified vortex in Eq. 17 for 0 ≤ R ≤ Rew and 0 ≤ Z ≤ ZT is given byAs is also easily confirmed, the V(R, Z) and θ(R, Z) fields given in Eq. 19 satisfy the thermal wind relation . A crucial property of this vertically sheared Rankine-like vortex core is that the θ(R, Z) field, given by the last line in Eq. 19, is the sum of a function of Z and a function of R. Using the last line of Eq. 19, we find that N2 and P take the simplified formsso that both N2 and P are functions of z only for the vertically sheared Rankine core. This allows the solution of Eq. 16 to be written in separable form, i.e., it allows for the analytical solution of Eq. 16 using the vertical normal mode transform method discussed below. The shape of the secondary circulation in the eye depends on the outward tilt of the R = Rew absolute angular momentum surface and on the ratio of the two variable coefficients in Eq. 16. It is convenient to multiply this ratio by the constant scale height H to obtain the local Rossby length , so that in the typical situation for which decreases with height, the local Rossby length is smallest in the lower troposphere. This leads to the expectation that the compensating subsidence in the eye occurs closer to the eyewall in the lower troposphere than in the upper troposphere. An alternative interpretation of the dynamics involves the definition of Rossby length via vertical mode rather than locally. This alternative interpretation is given in the discussion of the results shown in Table 1.
TABLE 1
| (A) Barotropic Case: and Rew = 240 km | |||||
|---|---|---|---|---|---|
| ℓ | (km) | μℓRew | I0(μℓRew) | Aℓ for Zm/ZT = 0.25 | Aℓ for Zm/ZT = 0.5 |
| 1 | 133.15 | 1.80 | 1.99 | −1,005.32 | −1,129.26 |
| 2 | 66.78 | 3.59 | 7.98 | −250.87 | 304.33 |
| 3 | 44.46 | 5.40 | 38.96 | −20.77 | −81.47 |
| 4 | 33.30 | 7.21 | 204.10 | −28.60 | 39.88 |
| 5 | 26.62 | 9.01 | 1,108.54 | −4.07 | −17.82 |
| (B) Baroclinic Case: , and Rew = 240 km | |||||
|---|---|---|---|---|---|
| ℓ | (km) | μℓRew | I0(μℓRew) | Aℓ for Zm/ZT = 0.25 | Aℓ for Zm/ZT = 0.5 |
| 1 | 122.53 | 1.96 | 2.22 | −765.54 | −899.72 |
| 2 | 58.44 | 4.11 | 12.40 | −419.44 | −28.88 |
| 3 | 38.54 | 6.23 | 82.79 | −109.89 | 14.81 |
| 4 | 28.78 | 8.34 | 587.22 | −53.50 | −7.15 |
| 5 | 22.98 | 10.45 | 4,298.18 | −23.14 | 3.72 |
Numerical results for the barotropic case (top table) and the baroclinic case (bottom table). The first column lists the vertical mode index ℓ, while the second column lists the corresponding values of the Rossby length , which are determined from the eigenvalues of the Sturm–Liouville problem in Eq. 23. Note that the crude approximation , which can be derived for the special case where N2 and are constants, works better for the barotropic case, for which is a constant. The five corresponding eigenfunctions are shown in the left and right panels of Figure 8. For the choice Rew = 240 km, the third column lists values of μℓRew, which can be interpreted as the number of Rossby lengths (in R-space) between the vortex center R = 0 and the inner edge of the eyewall R = Rew. The fourth column lists values of I0(μℓRew), which can be interpreted as the factor by which (for given ℓ) the subsidence at the center is reduced from that at the edge of the eye. The large value of I0(μℓRew) for ℓ ≥ 2 indicate the importance of the higher vertical modes in producing a lower-tropospheric warm-ring structure. Columns 5 and 6 tabulate the projection of Ψew(Z) onto the first five vertical modes, as computed from Eq. 29.
3.2 Solution via the vertical transform method
For the vertically sheared Rankine vortex core, the restricted problem given in Eq. 16 simplifies considerably because N and are functions of Z only. Then, the elliptic partial differential equation reduces toWe now solve Eq. 21 using the vertical transform method. The vertical transform pair iswhere the kernel of the transform is defined to be the solution ofwhich is a second order differential problem of the Sturm–Liouville type (e.g., Arfken and Weber, 2005, Chapter 10). In this method of solution, the streamfunction Ψ(R, Z) is represented as an infinite series of eigenfunctions with corresponding eigenvalues μℓ. The constant surface value of the effective buoyancy frequency, denoted by N0, has been introduced into the weight function so that, if is normalized in such a way that it is dimensionless, then Ψ(R, Z) and Ψℓ(R) will have the same units. The orthonormality of the vertical structure functions is discussed in Appendix C, as is the derivation of the second entry in Eq. 22 using this orthonormality relation.
To take the vertical transform of Eq. 21, first multiply it by and integrate over Z to obtainIntegrating by parts twice, making use of the top and bottom boundary conditions on Ψ(R, Z) and , we obtainMaking use of Eq. 23, the horizontal structure equation (Eq. 25) becomes
The solution of Eq. 26 is a linear combination of the order one modified Bessel functions I1(μℓR) and K1(μℓR). Because K1(μℓR) is singular at R = 0, only the I1(μℓR) solution is accepted in the region 0 ≤ R < Rew. Thus, the solution of the horizontal structure problem (Eq. 26) iswhere the Aℓ are constants. Using Eq. 27 in the top entry of Eq. 22, the final solution for the streamfunction becomeswhere the coefficients Aℓ are computed from the specified function Ψew(Z) via
The solution given in Eq. 28 is valid for vortices with the vertical profiles of and N(Z) given by Eqs. 17 and 19. With these vertical profiles, the first five eigenvalues of the vertical structure problem (Eq. 23) are given in the top part of Table 1 for the barotropic case, and the bottom part of Table 1 for the baroclinic case. The corresponding five eigenfunctions are shown in the left (barotropic) and right (baroclinic) panels of Figure 8. Note that we have solved the vertical structure problem (Eq. 23) using the Mathematica package NDEigensystem, which returns the eigenvalues and eigenfunctions of a user-defined linear operator, along with user-defined boundary conditions. This Mathematica package returns eigenfunctions with a default normalization, so we have renormalized the Mathematica output to satisfy the normalization given in Eq. 40 in Appendix C. There is general similarity in the appearance of the vertical structure functions for the barotropic and baroclinic cases. However, the inclusion of vertical dependence of in the Sturm–Liouville problem in Eq. 23 does lead to vertical shifts ( km) in the nodes and to changes in the upper tropospheric amplitudes of the functions.
FIGURE 8

Barotropic (A) and baroclinic (B) vertical structure functions for ℓ = 1, 2, 3, 4, 5. These are the eigenfunctions of the Sturm–Liouville problem in Eq. 23, satisfying the orthonormality relation in Eq. 40. The associated eigenvalues are given in the top (barotropic) and bottom (baroclinic) halves of Table 1.
Using Eq. 28, along with the derivative relation d [RI1(μℓR)]/dR = μℓRI0(μℓR), it can be shown that the formula for ρW(R, Z) isand the formula for ρw(r, z) isNote that the vertical mass flux ρw is related to the vertical p-velocity by ρw = −(1/g)ω and that w(r, z) can have a quite different vertical dependence than W(R, Z), for example due to the leading factor, which can have large values in the lower troposphere.
We now specify Ψew(Z) in such a way that it vanishes at Z = 0, ZT and has only one local minimum for 0 < Z < ZT. The specification of Ψew(Z) constrains the problem in an important way. To see this, note thatwhich shows that the specification of 2πRewΨew(Z) is equivalent to specification of the vertical distribution of the horizontally integrated vertical mass flux in the eye. However, the details of the spatial distribution of vertical motion in the eye comes from the elliptic equation, whose solution yields Eqs. 30 and 31. In order to make the height of the minimum value of Ψew(Z) adjustable, we have chosen the formwhere the specified parameter Zm is the height of the minimum value of Ψew(Z). In all the results presented here, the normalization factor Ψew(Zm) has been chosen such that 2πRewΨew(Zm) = −1.8 × 109 kg s−1. Plots of Ψew(Z)/Ψew(Zm) for the two choices Zm = 0.5 ZT = 8 km (a middle-tropospheric forcing case) and Zm = 0.25 ZT = 4 km (a lower-tropospheric forcing case) are shown in Figure 9. The normalization factor chosen here results in horizontally averaged eye subsidence rates, defined by , of approximately 1–2 m s−1, which is consistent with the aircraft observations reported by Jorgensen (1984). The projection of these two Ψew(Z) profiles onto the first five vertical modes, as computed from Eq. 29, is shown in Table 1.
FIGURE 9

The specified function Ψew(Z)/Ψew(Zm), as given by Eq. 33, for Zm = 0.5 ZT = 8 km and Zm = 0.25 ZT = 4 km. In all the results presented here we have chosen the normalization factor Ψew(Zm) such that 2πRewΨew(Zm) = −1.8 × 109 kg s−1. According to Eq. 32, the vertical distribution of the horizontally integrated downward mass flux in the eye is given by 2πRewΨew(Z). Specification of the constant Rew also specifies rew(z) since . Determination of the detailed spatial distribution of the downward mass flux ρw(r, z) = ∂[rψ(r, z)]/r∂r requires solution of the homogeneous, restricted elliptic problem given in Eq. 16 for Ψ(R, Z), from which ψ(r, z) is obtained viaψ(r, z) = (R/r)Ψ(R, Z).
Figure 10 shows isolines of rψ(r, z) for the middle-tropospheric eyewall forcing case Zm = 8 km (upper two panels) and for the lower-tropospheric eyewall forcing case Zm = 4 km (lower two panels). These isolines of rψ have been computed from Eqs. 28 and 29 using the relation rψ = RΨ. The sum over ℓ in Eq. 28 has been truncated at ℓ = 20. Also shown in Figure 10 are isolines of θ(r, z); these isolines are identical to those shown in Figure 7. Alternative views of the adiabatic temperature changes in the eye are provided by (∂θ/∂t), the tendency at fixed radius r, and by (∂θ/∂τ), the tendency at fixed potential radius R. Here, we discuss only the tendency (∂θ/∂t), which is governed by
FIGURE 10

Isolines of the solution rψ(r, z) (navy blue contours) and of θ(r, z) (red contours) for the barotropic case (A,B) and for the baroclinic case (C,D), both shown for the two eyewall forcing cases Zm = 0.5 ZT = 8 km (A,C) and Zm = 0.25 ZT = 4 km (B,D). The specified functions Ψew(Z) for these two eyewall forcing cases are shown in Figure 9. The isolines of rψ have been computed from the solution given in Eq. 28 using the relation rψ = RΨ, with the sum over ℓ truncated at ℓ = 20. The blue contours for rψ indicate the direction of fluid flow for the secondary circulation within the eye and have a contour interval of 2.0 × 107 kg s−1. The red contours for θ(r, z) are identical to those shown in Figure 7 and run from 305 K to 365 K for the barotropic case (left column) and from 295 K to 365 K for the baroclinic case (right column), both in increments of 5 K. In regions where a small area is enclosed by two neighboring blue lines and two neighboring red lines, the Jacobian ∂(rψ, θ)/r∂(r, z) tends to be large, so that ∂θ/∂t tends to be large, as shown in Figure 11.
From the above Jacobian form in (r, z), we conclude that the formation of lower-tropospheric warm-ring structures, where (∂θ/∂t) is large, tends to occur where small areas are produced by the intersection of θ-isolines and (rψ)-isolines. Figure 11 shows the corresponding potential temperature tendencies produced by the secondary circulations shown in Figure 10. The lower-tropospheric baroclinic case Zm = 4 km, shown in Figure 11D, clearly illustrates the tendency to produce an upper-tropospheric warm-core and a lower-tropospheric warm-ring structure. For example, at z ≈ 10 km, the values of ∂θ/∂t are uniform for 0 < r < 15 km and somewhat smaller for 15 < r < 28 km. In contrast, at z ≈ 3 km, the values of ∂θ/∂t near r ≈ 21 km are approximately five times as large as those at r = 0. These results indicate that a full-tropospheric warm-core structure such as that shown in Figure 10D could transform into a lower-tropospheric warm-ring structure very quickly, perhaps in less than an hour.
FIGURE 11

The potential temperature tendency ∂θ/∂t for the barotropic case (A,B) and for the baroclinic case (C,D), both shown for the two eyewall forcing cases Zm = 0.5 ZT = 8 km (A,C) and Zm = 0.25 ZT = 4 km (B,D). The contour interval for ∂θ/∂t is 5.0 K h−1 with positive contours shown in red, the zero contour level shown in black, and negative contours shown in blue. The − w(∂θ/∂z) term contributes to positive (∂θ/∂t) at all radii and all levels, except in a small region of the upper troposphere in the baroclinic cases. In the two baroclinic cases the − u(∂θ/∂r) term generally opposes the − w(∂θ/∂z) at upper-tropospheric levels (i.e., radial advection of colder air), but enhances the − w(∂θ/∂z) term at lower-tropospheric levels (i.e., radial advection of warmer air). This results in a (∂θ/∂t) field that is more radially uniform in the upper troposphere, but enhanced near the edge of the eye at lower-tropospheric levels.
4 Concluding remarks
Two problems for the secondary circulation in R-space have been formulated. The first is the full domain elliptic problem (Eq. 15), which requires knowledge of the coefficients and N(R, Z), and the forcing Q(R, Z) over 0 ≤ R < ∞. The second is the restricted domain elliptic problem (Eq. 16), which requires knowledge of the coefficients and N(R, Z) over 0 ≤ R ≤ Rew and specification of the lateral boundary values Ψew(Z) at R = Rew. For the barotropic vortex core and the vertically sheared Rankine core, the restricted domain elliptic problem has been solved semi-analytically in Section 3. The results for the middle-tropospheric forcing barotropic case shown in the upper left panels of Figure 10 and Figure 11 are closest to the results shown in the previous study (Schubert et al., 2007), which were based on full domain, physical space solutions of the transverse circulation equation with forcing of the first internal mode only. In the results for the lower-tropospheric forcing barotropic case shown in the lower left panels of Figure 10 and Figure 11, the minimum value of Ψew(Z) has been shifted to a lower level, which has the effect of producing an enhancement of ∂θ/∂t in the lower troposphere at the edge of the eye. The results for the vertically sheared (baroclinic) Rankine core, shown in the right panels of Figure 10 and Figure 11, more realistically capture the outward tilt of the eyewall and illustrate to a greater degree the preference for the potential temperature tendency to be largest in the lower troposphere at the edge of the eye in baroclinic vortices for which the minimum value of the eyewall streamfunction Ψew(Z) occurs below middle-tropospheric levels. The right two panels of Figure 11 are consistent with the concept of a potential temperature tendency field that is nearly uniform in radius at upper tropospheric levels but highly biased toward the edge of the eye at lower tropospheric levels, i.e., consistent with the development of a warm core at upper levels and a warm ring at lower levels, as seen in the full-physics simulations of Figure 5.
It is important to note that the model of eye subsidence used here is highly idealized, i.e., it is axisymmetric, gradient balanced, inviscid, adiabatic, and for a restricted domain. The adiabatic idealization results because, in the formulation of the restricted problem (Eq. 16), it has been assumed that Q = 0 for R ≤ Rew. Careful inspection of the lower panel of Figure 4 indicates that this assumption might be violated in the upper troposphere near the edge of the eye, where frozen condensate can be advected inward and subsequently sublimated, producing a region where Q < 0. Malkus (1958), Willoughby (1998), and Zhang et al. (2002) have considered the role that such cooling might play in producing deep, narrow downdrafts at the edge of the eye. The relative roles of such diabatic dynamics and the adiabatic dynamics studied here deserve further study. The idealization of gradient balance filters inertia-gravity waves, which results in a “slow manifold” view of eye dynamics. With their mesoscale scanning techniques, the GOES-R series of geostationary satellites can image a 1000 km × 1000 km hurricane area with 30 s time resolution. When viewing such rapid-scan loops of a major hurricane, one is struck by the highly dynamic nature of the inner core. Some of the high frequency variability of the inner core is probably due to inertia-gravity wave oscillations that are not captured by the simplified dynamics of the balanced vortex model. However, the balanced vortex model does capture the slow-manifold dynamics upon which we can crudely imagine the higher frequency inertia-gravity waves are superposed. To improve this crude view, much work remains to understand how the inner core PV dynamics can become frequency matched with the inertia-gravity wave oscillations, so the two types of dynamics can evolve in a strongly coupled fashion.
In closing, we comment on the possible effects of lower-tropospheric warm-ring structure on the stadium effect. General experience with solutions of the Eliassen transverse circulation equation supports the notion that baroclinic effects play an important role in determining the outward tilt of the eyewall, as seen for example in the CloudSat observations of Figure 4. We have studied the secondary circulation in the eye when the vortex has a warm-core structure at all levels, as shown in the right panel of Figure 7. The results indicate that a lower-tropospheric warm-core structure can be modified to a lower-tropospheric warm-ring structure when the subsidence is enhanced in the lower troposphere at the edge of the eye, as shown in panels D of Figure 10 and Figure 11. When a lower-tropospheric warm ring develops in a tropical cyclone, the baroclinic terms acquire a more complicated spatial structure, which means the absolute angular momentum surfaces also acquire a correspondingly more complicated spatial structure. To see this, consider the thermal wind equation written in the form f2(R/r)3(∂R/∂z) = (g/T0)(∂T/∂r). From this form of the thermal wind equation, we can easily deduce the following general rules.Thus, if a tropical cyclone has a warm core at all pressure levels, the R-surfaces tilt outward with height everywhere. Since the R-surfaces help shape the secondary circulation, the eyewall updraft would generally be expected to tilt outward at all levels. However, if a tropical cyclone has a warm-core structure in the upper troposphere but a warm-ring structure in the lower troposphere, the R-surfaces tilt inward with height in the lower troposphere just inside the radius with maximum temperature anomaly. The effect is to make the secondary circulation outward-tilted at upper levels but more vertical at lower levels—an interesting refinement of the stadium effect. To better understand such refinements, additional solutions of Eq. 16 for baroclinic vortices with warm-ring structure would be helpful and are a topic for future work since such solutions would require a numerical approach to Eq. 16. The semi-analytical approach used here is restricted to the vertically sheared, Rankine vortex and simply provides a snapshot in time (rather than a complete time evolution) that illustrates the tendency for a vortex with a warm-core structure to transition to a vortex with a lower-tropospheric warm-ring structure.
Statements
Data availability statement
The original contributions presented in the study are included in this article. Further inquiries can be directed to the corresponding author.
Author contributions
WS researched and derived the scientific aspects of this work and wrote the majority of this paper. RT developed and ran the numerical models, created the figures related to those model runs, and provided editing and LaTeX support. CS assisted with the research and derivations and with the preparation of some of the figures.
Funding
Our research has been supported by the National Science Foundation under grant AGS-1841326.
Acknowledgments
We would like to thank Eric Hendricks for his helpful comments and Brian McNoldy, Natalie Tourville, and Graeme Stephens for their advice on the Typhoon Choi-Wan data. We would also like to thank Jon Martinez, Marie McGraw, and the two official reviewers for their insightful reviews and valuable suggestions. The scientific results and conclusions, as well as any views or opinions expressed herein, are those of the author(s) and do not necessarily reflect those of NOAA or the Department of Commerce.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Appendix A: Coordinate transformation
This appendix provides an outline of the transformation from the (
r,
z,
t)-version of the gradient balanced model, given in Eq.
1, to the (
R,
Z,
τ)-version, which is given in Eq.
11.
• To transform the gradient wind formula in Eq. 1, note that
Using
v= (
R/
r)
V, we then obtain the first entry in Eq.
11.
• To transform the second entry in Eq. 1, we start with the absolute angular momentum form and write
where we have made use of (
Dr/
Dt) =
uand the absolute angular momentum conservation relation
DR/
Dt= 0. The final form results from the definition of
U, which is given in the first entry of Eq.
10.
• To transform the hydrostatic formula in Eq. 1, note that
where the second equality results from
and the transformed gradient wind equation, while the last equality follows from cancellation of the terms within the parentheses. The third entry in Eq.
11immediately follows. A closely related formula is
which justifies the use of the term “geopotential tendency equation” for Eq.
36.
• Interestingly, a short derivation of the fourth entry in Eq. 11 begins with the vorticity equation and proceeds as follows:
where the second entry follows by combining the twisting and divergence terms and the third entry follows from the use of (
D/
Dt) = (
∂/
∂τ) +
w(
∂/
∂Z) and the relationship between
Wand
w. Now start with the tangential wind equation and proceed as follows:
where the second entry follows by differentiation of
Rtimes the first entry, and the third entry from
f2/(
f+
ζ) =
f− [
∂(
RV)/
R∂R]. Combining the last entries of the above two results yields the fourth entry in Eq.
11.
• Finally, the transformation of the thermodynamic equation in Eq. 1 proceeds as follows:
where the final form results from the definitions of
N2and
W.
Appendix B: Geopotential tendency equation
The secondary circulation problems defined in Eqs. 15 and 16 were derived by eliminating Φτ between the two equations in Eq. 14. An alternative approach is to make use of the fourth entry in Eq. 11 to eliminate U and W between the two equations in Eq. 14, thereby obtaining the geopotential tendency equation. Then, translating the Dirichlet boundary conditions on U and W into Neumann boundary conditions on the normal derivatives of Φτ, the geopotential tendency problem for the restricted domain can be written as follows.All the conclusions reached in Section 3 could also be reached through an analysis of Eq. 36.
Appendix C: Orthonormality of the vertical structure functions
The orthonormality of the vertical structure functions is proved as follows. Let and be eigenfunctions with corresponding eigenvalues μℓ and μℓ′. Then, multiplying the equation for by , and the equation for by , we obtainThe difference of these two equations can be written in the formIntegrating over Z and noting that both and vanish at Z = 0 and Z = ZT, we obtainThus, in the absence of degenerate eigenvalues and with proper normalization of , the orthonormality relation for the vertical structure functions is
The proof of the second entry in Eq. 22 is as follows. Change the dummy index ℓ to ℓ′ in the first entry of Eq. 22, multiply the resulting formula by , and then integrate over Z to obtainwhere the final equality follows from the orthonormality relation (Eq. 40).
References
1
AbersonS. D.MontgomeryM. T.BellM.BlackM. (2006). Hurricane Isabel (2003): New insights into the physics of intense storms. Part II: Extreme localized wind. Bull. Am. Meteorol. Soc.87, 1349–1354. 10.1175/BAMS-87-10-1349
2
ArfkenG. B.WeberH. J. (2005). Mathematical methods for physicists. Sixth Edition. Amsterdam and Boston: Elsevier Academic Press.
3
BellM. M.MontgomeryM. T. (2008). Observed structure, evolution, and potential intensity of category 5 Hurricane Isabel (2003) from 12 to 14 September. Mon. Wea. Rev.136, 2023–2046. 10.1175/2007MWR1858.1
4
EliassenA. (1951). Slow thermally or frictionally controlled meridional circulation in a circular vortex. Astrophys. Norv.5, 19–60.
5
FultonS. R.SchubertW. H. (1985). Vertical normal mode transforms: Theory and application. Mon. Wea. Rev.113, 647–658. 10.1175/1520-0493(1985)113⟨0647:VNMTTA⟩2.0.CO;2
6
HawkinsH. F.RubsamD. T. (1968). Hurricane Hilda, 1964. II. Structure and budgets of the hurricane on October 1, 1964. Mon. Wea. Rev.96, 617–636. 10.1175/1520-0493(1968)096<0617:hh>2.0.co;2
7
HazeltonA. T.HartR. E. (2013). Hurricane eyewall slope as determined from airborne radar reflectivity data: Composites and case studies. Wea. Forecast.28, 368–386. 10.1175/WAF-D-12-00037.1
8
HazeltonA. T.RogersR.HartR. E. (2015). Shear-relative asymmetries in tropical cyclone eyewall slope. Mon. Wea. Rev.143, 883–903. 10.1175/MWR-D-14-00122.1
9
JohnsonR. H.KrieteD. C. (1982). Thermodynamic and circulation characteristics of winter monsoon tropical mesoscale convection. Mon. Wea. Rev.110, 1898–1911. 10.1175/1520-0493(1982)110<1898:taccow>2.0.co;2
10
JordanC. L. (1958). Mean soundings for the West Indies area. J. Meteor.15, 91–97. 10.1175/1520-0469(1958)015<0091:MSFTWI>2.0.CO;2
11
JorgensenD. P. (1984). Mesoscale and convective-scale characteristics of mature hurricanes. Part II: Inner core structure of Hurricane Allen (1980). J. Atmos. Sci.41, 1287–1311. 10.1175/1520-0469(1984)041<1287:macsco>2.0.co;2
12
KossinJ. P.SchubertW. H. (2004). Mesovortices in Hurricane Isabel. Bull. Am. Meteorol. Soc.85, 151–153.
13
MalkusJ. S. (1958). On the structure and maintenance of the mature hurricane eye. J. Meteor.15, 337–349. 10.1175/1520-0469(1958)015<0337:otsamo>2.0.co;2
14
MartinezJ.BellM. M.RogersR. F.DoyleJ. D. (2019). Axisymmetric potential vorticity evolution of Hurricane Patricia (2015). J. Atmos. Sci.76, 2043–2063. 10.1175/JAS-D-18-0373.1
15
MöllerJ. D.SmithR. K. (1994). The development of potential vorticity in a hurricane-like vortex. Q. J. R. Meteorol. Soc.120, 1255–1265. 10.1002/qj.49712051907
16
MontgomeryM. T.BellM. M.AbersonS. D.BlackM. L. (2006). Hurricane Isabel (2003): New insights into the physics of intense storms. Part I: Mean vortex structure and maximum intensity estimates. Bull. Am. Meteorol. Soc.87, 1335–1348. 10.1175/BAMS-87-10-1335
17
NolanD. S.SternD. P.ZhangJ. A. (2009a). Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part II: Inner-core boundary layer and eyewall structure. Mon. Wea. Rev.137, 3675–3698. 10.1175/2009MWR2786.1
18
NolanD. S.ZhangJ. A.SternD. P. (2009b). Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part I: Initialization, maximum winds, and the outer-core boundary layer. Mon. Wea. Rev.137, 3651–3674. 10.1175/2009MWR2785.1
19
RivoireL.BirnerT.KnaffJ. A. (2016). Evolution of the upper-level thermal structure in tropical cyclones. Geophys. Res. Lett.43 (10), 537. 10.1002/2016GL070622
20
RogersR. F. (2021). Recent advances in our understanding of tropical cyclone intensity change processes from airborne observations. Atmosphere12 (650), 650. 10.3390/atmos12050650
21
RozoffC. M.SchubertW. H.McNoldyB. D.KossinJ. P. (2006). Rapid filamentation zones in intense tropical cyclones. J. Atmos. Sci.63, 325–340. 10.1175/JAS3595.1
22
SchubertW. H.AlworthB. T. (1987). Evolution of potential vorticity in tropical cyclones. Q. J. R. Meteorol. Soc.113, 147–162. 10.1002/qj.49711347509
23
SchubertW. H. (2018). Bernhard Haurwitz memorial lecture (2017): Potential vorticity aspects of tropical dynamics. http://arXiv.org/abs/1801.08238.
24
SchubertW. H.HackJ. J. (1983). Transformed Eliassen balanced vortex model. J. Atmos. Sci.40, 1571–1583. 10.1175/1520-0469(1983)040<1571:tebvm>2.0.co;2
25
SchubertW. H.McNoldyB. D. (2010). Application of the concepts of Rossby length and Rossby depth to tropical cyclone dynamics. J. Adv. Model.. Earth Syst.2, 7. 10.3894/JAMES.2010.2.7
26
SchubertW. H.RozoffC. M.VighJ. L.McNoldyB. D.KossinJ. P. (2007). On the distribution of subsidence in the hurricane eye. Q. J. R. Meteorol. Soc.133, 595–605. 10.1002/qj.49
27
SimpsonR. H.StarrettL. G. (1955). Further studies of hurricane structure by aircraft reconnaissance. Bull. Am. Meteorol. Soc.36, 459–468. 10.1175/1520-0477-36.9.459
28
SternD. P.BryanG. H.AbersonS. D. (2016). Extreme low-level updrafts and wind speeds measured by dropsondes in tropical cyclones. Mon. Wea. Rev.144, 2177–2204. 10.1175/MWR-D-15-0313.1
29
SternD. P.NolanD. S. (2009). Reexamining the vertical structure of tangential winds in tropical cyclones: Observations and theory. J. Atmos. Sci.66, 3579–3600. 10.1175/2009JAS2916.1
30
WilloughbyH. E. (1998). Tropical cyclone eye thermodynamics. Mon. Wea. Rev.126, 3053–3067. 10.1175/1520-0493(1998)126<3053:TCET>2.0.CO;2
31
YamasakiM. (1983). A further study of the tropical cyclone without parameterizing the effects of cumulus convection. Pap. Meteorol. Geophys.34, 221–260. 10.2467/mripapers.34.221
32
ZhangD.-L.LiuY.YauM. K. (2002). A multiscale numerical study of Hurricane Andrew (1992). Part V: Inner-core thermodynamics. Mon. Wea. Rev.130, 2745–2763. 10.1175/1520-0493(2002)130<2745:amnsoh>2.0.co;2
Summary
Keywords
tropical cyclone, eye subsidence, baroclinic effects, secondary circulation, gradient balanced vortex
Citation
Schubert WH, Taft RK and Slocum CJ (2022) Baroclinic effects on the distribution of tropical cyclone eye subsidence. Front. Earth Sci. 10:1062465. doi: 10.3389/feart.2022.1062465
Received
05 October 2022
Accepted
22 November 2022
Published
19 December 2022
Volume
10 - 2022
Edited by
Eric Hendricks, National Center for Atmospheric Research (UCAR), United States
Reviewed by
Richard Rotunno, University Corporation for Atmospheric Research (UCAR), United States
Nannan Qin, Fudan University, China
Updates
Copyright
© 2022 Schubert, Taft and Slocum.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Richard K. Taft, rick.taft@colostate.edu
This article was submitted to Atmospheric Science, a section of the journal Frontiers in Earth Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.