Kieu Received: 1 July 2011 / Accepted: 11 November 2011 / Published online: 25 November 2011 Springer-Verlag 2011 Abstract The radius of the maximum tangential wind RMW associated with
Trang 1O R I G I N A L P A P E R
An investigation into the contraction of the hurricane radius
of maximum wind
Chanh Q Kieu
Received: 1 July 2011 / Accepted: 11 November 2011 / Published online: 25 November 2011
Springer-Verlag 2011
Abstract The radius of the maximum tangential wind
(RMW) associated with the hurricane primary circulation
has been long known to undergo continuous contraction
during the hurricane development In this study, we
doc-ument some characteristic behaviors of the RMW
con-traction in a series of ensemble real-time simulations of
Hurricane Katrina (2005) and in idealized experiments
using the Rotunno and Emanuel (Mon Weather Rev
137:1770–1789, 1987) axisymmetric hurricane model Of
specific interest is that the contraction appears to slow
down abruptly at the middle of the hurricane
intensifica-tion, and the RMW becomes nearly stationary
subse-quently, despite the rapidly strengthening rotational flows
A kinematic model is then presented to examine such
behaviors of the RMW in which necessary conditions for
the RMW to stop contracting are examined Further use of
the Emanuel’s (J Atmos Sci 43:585–605, 1986) analytical
hurricane theory reveals a connection between the
hurri-cane maximum potential intensity and the hurrihurri-cane eye
size, an issue that has not been considered adequately in
previous studies
1 Introduction
The hurricane radius of maximum wind (RMW), which is
defined as the radius at which the tangential flow attains
its maximum value, has been long known to undergo
continuous contraction during the development of hurri-canes (see, e.g., Hack and Schubert 1986; Willoughby
1990; Zhu et al.2004; Knaff and Zehr2007; Wang2008) Early observational and modeling studies have shown that such contraction often signifies the strengthening of hur-ricanes; the smaller the RMW of a hurricane at the peak intensity, the stronger the hurricane (Willoughby and Rahn
2004) Such contraction is often accompanied by formation
of a new outer eyewall that eventually experiences a sim-ilar contraction and later replaces the inner eyewall during
a process called the eyewall replacement (Black and Wil-loughby1992; Willoughby et al 1982; McNoldy2004) Various modeling and observational studies showed that the RMW contracts very fast at first, but then slows down quickly as the RMW becomes small enough (e.g., Hack and Schubert 1986; Molinari and Vollaro 1990; Corbosiero
et al.2005; Zhu et al.2004; Kieu et al.2010; Xu and Wang
2010) However, a question that has not been well under-stood is how far the RMW of a hurricane can contract to its maximum potential capability, or put differently what is the smallest eye size a hurricane can achieve Recent observa-tions of Hurricane Wilma (2005) collected by the U.S Air Force reconnaissance flight showed that Wilma’s eye con-tracted down to a diameter of only about 5 km Such incredible small eye size was followed by a minimum central pressure at the peak intensity of 882 hPa, the lowest value for hurricanes in the Atlantic basin (Pasch et al.2009; Knaff and Zehr 2007) This shows that hurricanes tend to attain stronger intensity with smaller eye size, an intriguing observation that has not been discussed thoroughly in hur-ricane research More statistical information about such connection between hurricanes and their size can be found
in, e.g., Knaff and Zehr (2007) and Knaff et al (2007) The early theoretical study by Shapiro and Willoughby (1982) and Hack and Schubert (1986) demonstrated that
Responsible editor: M Kaplan.
C Q Kieu ( &)
Lab of Climate and Weather Research,
Hanoi College of Science, Vietnam National University,
334 Nguyen Trai, Hanoi 10000, Vietnam
e-mail: chanhkq@vnu.edu.vn
DOI 10.1007/s00703-011-0171-7
Trang 2the rate of contraction appears to depend upon the location
of the diabatic heating force Specifically, the contraction
of the RMW is related to a much faster spinup of the
tangential flow within the inner core as compared to that in
the outer region Such rapid intensification of the tangential
flow within the inner core as compared to that in the outer
region is indeed confirmed in a comprehensive
observa-tional study by Willoughby (1990) and recently presented
in an analytical model by Kieu and Zhang (2009) As a
result, the peak of the tangential flow will continuously
shift inward until the tangential flow attains the stationary
phase as determined by the maximum available
thermo-dynamical energy (Emanuel 1986) While Shapiro and
Willoughby’s (1982) approach is seminal in explaining for
the contraction of the RMW, their results do not seem to
capture details of the RMW contraction including the
sudden slowing down of the contraction at the middle of
the hurricane intensification or connection between
hurri-cane intensity and eye size Likewise, the explicit solutions
in Kieu and Zhang (2009) provide little information about
the contraction rate of the RMW other than indirect
sug-gestion of the different intensification rates of the
tangen-tial flows between the inner and outer region
In this study, we will first document in Sect.2a number
of important properties of the RMW contraction obtained
from an ensemble of real-time cloud-resolving simulations
of Hurricane Katrina (2005) as well as from the
axisym-metric model developed by (Rotunno and Emanuel1987,
hereafter referred to as RE model) A kinematic model is
then presented to explore more quantitatively the behaviors
of the RMW contraction Connection between the
hurri-cane size and the maximum potential intensity (MPI) is
next discussed, and some concluding remarks are given in
the final section
2 Characteristics of the RMW contraction
In this study, a 100-member ensemble of cloud-resolving
simulations of Hurricane Katrina (2005) is used to examine
the behaviors of Katrina’s RMW contraction The
ensem-ble simulations are obtained using the ensemensem-ble Kalman
filter assimilating system developed originally by Snyder
and Zhang (2003), and implemented in the Weather and
Forecasting Model (WRF, version 3.1) These real-time
simulations are configured with multi-nested domains
(40.5/13.5/4.5 km), and initialized with the National
Cen-ter for Environmental Prediction (NCEP) Global Forecast
System (GFS) operational analysis valid at 0000 UTC, 25
August The ensemble is perturbed by WRF- 3DVAR and
assimilates airborne data at 1430, 1530, 1630, 1700, 1900,
and 2000 UTC Details of the simulations as well as
techniques can be found in Weng and Zhang (2011) In
addition to the use of the WRF model, the axisymmetric model developed by Rotunno and Emanuel (1987) is uti-lized to compare and isolate the fundamental axisymmetric contraction of general hurricane-like vortices This is to ensure that the key behaviors of the contraction are rep-resentative and not model-dependent In our idealized experiments with the RE model, a simulation is initialized with a sounding profile characterizing Katrina’s environ-ment at 0000 UTC, 25 Aug 2005, and a vortex with the initial maximum surface wind (VMAX) of 20 m s-1 and RMW of 90 km that are similar to Katrina’s initialization
at 0000 UTC, 25 Aug 2005
While the ensemble simulations show a wide spread of the track forecasts of Katrina (not shown), the set of sim-ulations possess a significant homogeneity in terms of temporal and spatial structure, thus offering a unique opportunity to probe in detail the general characteristics of Katrina’s intensity Figure1 shows the time evolutions of the sea level pressure and the maximum surface wind, and the corresponding evolution of the ensemble of Katrina’s RMW at z = 1 km One notices that there is a close cor-relation of the RMW and hurricane intensity during the developing period; the stronger the hurricane, the smaller the RMW
Of particular interest is that the contraction of the RMW
is not entirely proportional to Katrina’s intensity Rather, the contraction slows down rapidly at the middle of Kat-rina’s rapid intensification,1i.e., at 0900 UTC, 27 August, and the RMW is kept nearly stationary afterward despite the rapidly strengthening tangential flow The breaking of the contraction happens at the RMW of approximately
27 km among all members For the ease of later discussion,
we summarize below the main thresholds when the RMW contraction slows down abruptly at 0900 UTC, 27 August (hereafter referred to as the breaking point of the RMW contraction)
• (o1) VMAX & 65 ms-1
• (o2) PMIN & 950 hPa
• (o3) RMW & 27 km
• (o4) The breaking takes place at the middle of rapid intensification
• (o5) The RMW becomes nearly constant after the breaking point
Even though it takes much more time for the axisym-metric vortex to spin up (*10 days) as compared to the real-time simulation of Katrina (*2 days, see Fig.1), it is seen that the slowing down of the RMW contraction at
1 In this study, the ‘‘rapid intensification’’ is defined as a period during which the initial vortex amplifies rapidly from tropical storm
to hurricane stage A more careful definition of the term ‘‘rapid intensification’’ can be found, e.g., in Kaplan and DeMaria ( 2003 ).
Trang 3somewhat middle of intensification is also observed in the
axisymmetric hurricane model; all show fairly consistent
behaviors of the breaking contraction except for the smaller
RMW size in the axisymmetric model (*16 km)
The slowing down of the RMW contraction at the
middle of the intensification appears to be a common
characteristic of the hurricane development A recent
high-resolution simulation of a hurricane-like vortex by Xu and
Wang (2010, see their Figs.4 and 5) captures a very
similar behavior of the RMW contraction This signifies
some interesting processes behind the RMW contraction
that has not been fully understood In the next section, we
will present a kinematic model that attempts to describe the
contraction of the RMW in more specific details
3 A kinematic model of the RMW contraction
To examine qualitatively the picture of the RMW
con-traction, imagine we have an initial axisymmetric vortex
that is sufficiently defined such that the radial structure can
be approximated as seen in Fig.2, i.e., the tangential wind
increases linearly within the inner-core region and
decreases approximately inversely with radius in the outer
region Intuitively, one can anticipate from this radial
profile of the tangential flow that the radial advection tends
to accelerate of the tangential wind within the inner core at
a much faster rate than that in the outer region (provided that the advective contribution is larger than frictional dissipation) The early study by Willoughby (1990) showed that such inner-core intensification is often accompanied by the contraction of the RMW with VMAX continuously shifted inward However, it should be noted that the con-traction and the increase of VMAX are not always in phase Indeed, if this advection-based reasoning is continued, one faces a problem that the RMW would contract all the way down to the center of the vortex as long as the radial inflow
Fig 1 a Time series of the
ensemble of the RMW from the
Katrina 4-day ensemble
simulation (thin gray, unit: km),
the ensemble mean of the RMW
(bold black, unit: km), the
maximum surface wind (bold
dotted, unit: m s-1), and the
minimum sea level pressure
(bold gray) and b similar to the
a but from the deterministic
simulation of an idealized
vortex using the Rotunno and
Emanuel’s ( 1987 ) axisymmetric
hurricane model The point p in
the lower panel denotes the
location where the Taylor
expansion is carried out in
Eq 9 , and point b indicates the
breaking point where the RMW
contraction experiences the
sudden slowing down
Fig 2 Schematic evolution of the RMW at the surface The value Rb corresponds to the critical value at which the RMW stops contracting but the VMAX keeps increasing, and R0and Ridenote the RMW at the time t0and ti, respectively The gray arrow denotes the radial inflow at the surface
Trang 4is maintained Of course, such collapse of the RMW is not
observed in reality, and in fact, the collapse could not occur
due to the singularity of the centrifugal force As presented
in Sect.2, the contraction always experiences a period of
slowing down and the RMW is then nearly unchanged
afterward (Fig.1)
One important characteristic of the RMW is that it does
not locate at the point where the radial inflow vanishes but
instead resides persistently in a regime where the radial
wind is inward (Fig.3) This is a very significant property
of the RMW contraction from the physical point of view if
one analyzes the projection of various forcing terms along
the tangential direction near the RMW As a parcel moves
from a very far point toward the hurricane center, the
tangential wind accelerates at a faster rate than the radial
wind over most of its trajectory in the outer region Thus,
the trajectory of the parcel has to transform gradually from
the spiral shape to a near-circular shape as it approaches the
hurricane inner region Because the RMW locates at the
inflow regime, the position of the RMW has to be located
at the radius where the frictional forcing balances the
centrifugal and Coriolis force along the tangential
direc-tion Inside the RMW, the frictional forcing tends to
dominate in the tangential direction and it thus reduces the
tangential wind down to the center Although the
centrif-ugal force also decreases with the tangential wind inside
the RMW, note that the pressure gradient has to decrease
with radius inside the RMW as well due to the existence of
the minimum pressure at the center (i.e., qp/qr ? 0 as
r? 0) As a result, the net radial forcing is outward and
the radial wind must decelerate and vanish at some point
inside the RMW.2That the RMW locates consistently in the
inflow regime implies that the frictional forcing must play some role in preventing the inward advection of the RMW
by the radial inflow
To model the behaviors of the RMW more quantita-tively, let us consider a simplified model in which an initial vortex is assumed to be symmetric and the tangential wind
v in the inner-core region satisfies the following conditions:
v¼ Xr 8 r\R
ov
orjr¼R¼ 0
where R denotes the RMW, H is the depth of the planetary boundary layer (PBL), and X represents the angular velocity of the inner core that is a function of time The vortex as given by Eq.1basically shows that the tangential wind profile increases linearly with radius and attains the maximum value at r = R This linear profile has been shown to be a very good approximation of the tangential flow within the hurricane inner-core region in numerous observational and modeling studies (see Fig.3 herein or, e.g., Rotunno and Emanuel 1987; Willoughby 1990; Liu
et al 1999) It should be mentioned that the linearity assumption of the tangential flow in Eq.1 is not con-tradicting to the condition of qv/qr = 0 because one can always construct a piecewise smooth profile that could meet both conditions in Eq.1; see Appendix 1 for an example of such a function
In the cylindrical coordinate, the evolution of the tan-gential wind is governed by the tantan-gential momentum equation
ov
otþ u ov
orþv
rþ f
þ wov
oz¼ CD
H v
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
u2þ v2
p
where u denotes the radial wind, f the Coriolis parameter,
r the radius from the vortex center, and CD is the drag coefficient Note that in the above tangential momentum equation, assumption of the well-mixed boundary layer has been explicitly used such that the frictional effects can be
Fig 3 Radial profile of the
tangential wind (bold) and
radial wind (dotted) that are
valid at z = 0.5 km from the
Rotunno and Emanuel’s ( 1987 )
axisymmetric model simulation
valid at the stationary phase
2 If one divides the radial domain into an outflow regime R?: {r B
R0| u(r) C 0} and an inflow regime R-: {r [ R 0 | u(r) \ 0}, then it
can be shown rigorously by involving the tangential momentum
equation that the stable RMW must belong to the inflow regime R-,
i.e., RMW [ R0.
Trang 5expressed in terms of the bulk aerodynamic formula
(Holton2004) For the time being, we assume further that
CDand H are constant to ease our subsequent discussions
Such assumption is apparently rough as the depth of the
PBL could in fact vary with radius (Kepert and Wang
2001) Although such dependence of H on radius may have
some impacts on the exact point at which the breaking of
the contraction occurs, this is expected to affect little to the
nature of the breaking of the RMW contraction as will be
detailed later The goal here is to derive an equation that
governs the rate of change of the RMW for the simple
vortex given by Eq.1and see how far we can apply such
descriptive understanding of the idealized contraction to
the more realistic RMW contraction This allows us to
examine different factors controlling the RMW contraction
as well as criteria at which the RMW stops contracting as
observed in Sect.2
To this end, we recall that if the RMW is to contract
with time, the point R separating the inner core from the
outer region will change with time and so R depends
explicitly on time (the uppercase letters hereinafter denote
the values at the location of the RMW to distinguish with
the lowercase letters that represent field variables or
coordinates in the Eulerian frame) Let us focus on this
point R(t), which kinematically satisfies
Because both X(t) and R(t) are time dependent, the
maximum surface wind V(t) varies with time according to:
dVðtÞ
dt ¼dX
dt Rþ XdR
Next recall that since Eq.2has to be valid Vr, it has to
be applied also at r = R(t) where qv/qr = 0 Thus, we have
dX
dt R jUjðX þ f Þ ¼ CD
H V
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
U2þ V2
p
where U is the radial flow at r = R, and the vertical
structure of the tangential flow is assumed to peak at the
top of PBL such that qv/qz = 0 Eliminating (dX/dt)R from
Eqs.4and5leads to
XdR
dt ¼dV
dt jUjðX þ f Þ þCD
H V
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
U2þ V2
p
Because X f and V U, Eq.6can be approximated
as:
dR
dt jUj þCD
H VRþR
V
dV
It should be emphasized that while Eq.5is the tangential
momentum equation, Eq.4 is simply the kinematic
assumption derived from Eq.1 Thus, the resulting Eq.7
basically answers the question: given an initial vortex with
the radial structure as described by Eq.1 and an evolution equation as governed by Eq.2, how will the vortex evolve with time?
Several conclusions can be drawn from Eq 7 First, an important factor determining the contraction of the RMW
is indeed the inflow as expected from the earlier discussion
Of interest, however, is the second term on the rhs of Eq.7
that is associated with frictional dissipation This term turns out to be the main factor responsible for preventing the collapse of the RMW to center Although the frictional contribution is generally weak during the early hurricane development so that the RMW is allowed to shift contin-uously inward, the strong dependence of the frictional dissipation on wind speed soon results in a rapid increase
of the frictional forcing as the tangential wind becomes sufficiently large near the center This frictional dissipation
is the most effective way to keep the RMW from con-tracting Schematically, one can imagine that at any time when the RMW moves inward, the frictional dissipation will erase the newly formed peak of the tangential wind, thus keeping the RMW from contracting further
Note that although the last term on the rhs of Eq.7also prevents the contraction of the RMW, its physical roles are nonetheless less obvious as it is mainly related to the assumed linear constraint of the tangential flow within the inner core during the contraction As hurricanes intensify, i.e., V increases, the contribution of this last term will decrease and it thus becomes less important with time As
an example of the magnitude of various terms on the rhs
of Eq.7, consider typical values at the location of the RMW as U = -5 m s-1, V = 60 m s-1, H = 103m,
R = 50 km, CD= 1.2 9 10-3, and dV/dt = 1 m s-1 per hour (see Figs.1 and3), then the first, the second and the third term on the rhs of Eq.7are -5 m s-1, 3.6 m s-1and 0.13 m s-1, respectively The contraction rate is therefore
*1.4 m s-1 or roughly 5 km per hour Apparently, the radial inflow and frictional forcing are the two main factors
in the contraction equation while the last term is negligible
It is clear that the above derivations are solely from the kinematic point of view and it is by no mean complete In reality, the radial inflow U at r = R is not constant but determined by various thermodynamical and dynamical constrains The inclusion of the thermodynamic processes would require a careful examination of the Sawyer–Eli-assen equation Although detailed use of the Sawyer– Eliassen equation is desired for more complete under-standing of the RMW contraction, it is sufficient to highlight again the important observation that the radial wind has to be inward at the RMW location for the contraction to occur during the hurricane development (see Fig.3)
To study the contraction according to Eq 7 in more detail, the functional form for the radial wind |U| at
Trang 6r = R has to be given As mentioned above, such explicit
expression for U requires a description of the diabatic
heating distribution To limit our analysis within the
kinematic framework, let assume that U at r = R is a given
function of the RMW R as follows3: |U| = bR where b is a
positive proportional coefficient As the contraction rate
depends directly on U rather than on the variation of U with
radius, the functional form U(R) is expected to have small
change with different profiles of U(R), and therefore to the
physics of the contraction Taylor expansion of V(t) around
a given instant of time, for instance the moment tpat the
point p on Fig.1b, we get
VðtÞ ¼ VðtpÞ þ apðt tpÞ þ Oððt tpÞ2Þ ð8Þ
where ap is the intensification rate of the VMAX at the
point p, which can be estimated by taking a left limit up to
point p If we let s = t-tp, Eq.7now becomes:
dR
ds¼ ½bpCD
H ðVpþ apsÞ ap
Vpþ apsR ð9Þ Equation9 is the governing equation for the RMW
contraction around the neighborhood of the moment tpthat
we are looking for Note that ap, bp, and Vpall change at
different expansion point p Therefore, Eq.9 determines
the evolution of the RMW contraction locally around tp
An explicit integration of Eq.9will finally give us
RðsÞ ¼ Rpð1 þaps
Vp
Þ exp ½bpCD
H ðVpþaps
2 Þs
where DT is a local neighborhood around tp The explicit
solution Eq.10 summarizes all the conclusions obtained
above including the role radial advection in reducing the RMW (the b parameter), the counter-effect of the frictional forcing in preventing of the RMW contraction Note that the exponential e-folding time for the RMW to decrease by a factor of e in Eq.10is Ds * H/(Hb ? CDVp), which shows that the larger the drag coefficient, the faster (longer) the contraction rate would be To verify directly the role of the frictional dissipation, a series of idealized experiments with the RE model in which the drag coefficient CDvaries from 0.7 9 10-3to 1.1 9 10-3are conducted.4Figure4shows the time series of the RMW for the above range of the drag coefficient One can easily notice that the smaller the drag coefficient is, the longer it takes for the RMW to reach the breaking point Thus, the friction does appear to play a key role in determining the contraction rate as expected Given the governing Eq.7for the contraction, it is natural
to ask a question that at what point the RMW will stop contracting Note from the observation (o4) in Sect.2that such breaking in the RMW contraction happens at the middle
of the intensification, and the RMW is virtually stationary until the hurricanes attain their peak intensity To take into account this fact, let’s assume that the rate of change of the maximum surface wind V at the breaking point b is given
a priori, i.e., (dV/dt)b= abis known (e.g., it can be computed from the time series of V up to point b) Because the breaking occurs when dR/dt = 0 at R = Rb, we have from Eq.75
Fig 4 Evolutions of the RMW
from the Rotunno and
Emanuel’s axisymmetric
hurricane model with the
surface drag increasing from
CD= 0.7 9 10-3(far left) to
1.1 9 10-3(far right) at
interval of every 0.1 9 10-3
3 Note that we only assume a functional form for U at r = R The
radial dependence of u(r) for r \ R is not necessarily of the same
linear form E.g., u(r) = br2/R would give a similar U = bR at r = R.
4 The above range of the drag coefficient CDis chosen from the requirement that the vortex has to fully develop and attain the stationary phase in the RE model Outside this range, the vortex either fails to intensify or becomes very unstable As CDis dependent upon the wind speed, the actual value of CDestimated from the model will vary with the vortex intensity (see Rotunno and Emanuel ( 1987 ) for more details).
5 Note that the exponential decay of the RMW in Eq 10 is no longer applied near R = Rbas the expansion in Eq 8 varies with time, i.e., all related values Vp, ap, b p are varying with the point p.
Trang 7Vb
V2
abþ jV2
ð11Þ
where j : CD/H, and Vb is the value of VMAX at the
breaking point Condition Eq.11 states that for each Vb
there will be a corresponding RMW Rbas given by Eq 11
at which the contraction is expected to slow down
drasti-cally afterward As long as the actual RMW of the hurricane
differs from this breaking RMW, the contraction will
con-tinue as the hurricane strengthens At some point where the
actual RMW and Rbare equal, the contraction is slowed
down and the RMW becomes unchanged despite the
increase of the tangential flow After this breaking point, the
tangential flow only amplifies in its amplitude but maintains
its stationary radial profile as seen schematically in Fig.2
It is apparent from Eq.11 that the stationary RMW
depends sensitively on the PBL parameterization, i.e., the
explicit functional form of j Given the large uncertainty in
our understanding of the PBL (see, e.g., Bryan and
Rot-unno 2009), it is thus challenging to predict exactly the
stationary value Rbin reality As the ensemble simulations
of Katrina show the consistent stationary RMW around
27 km, it is of interest to look further into what the simple
well-mixed PBL treatment can tell us about the connection
between the RMW and the hurricane intensity, using the
value of Rb= 27 km as a gauge to fix the value of j Use
of V * 65 m s-1, U * 15 m s-1, Rb* 27 km, and
ab* 1 m s-1 h-1, give a value of j & 7.6 9 10-6 If
one assumes H & 103 m as a typical depth of the PBL,
CD& 7.6 9 10-3m-1, consistent with the previous
esti-mation of CD Direct estimation of the denominator in
Eq.11 using the above values shows readily that
ab jVb, confirming our early statement of the negligible
of the last term in Eq.9 So, we can approximate Eq.11as
Rb& Ub/(jbVb) Figure 5 shows the dependence of the
critical RMW Rbon the ratio of Vb/Ub, given the value of j
above, which illustrates the inverse proportionality of Rbon
the VMAX at the breaking point That is, the larger the
maximum surface wind is, the smaller the RMW should be
in order for hurricanes to experience the abrupt slowing down It is nonetheless somewhat surprising to see that the larger the radial inflow is, the larger the breaking radius will be One could expect that the larger inflow will tend to advect more robustly the tangential wind inward, thus decreasing the RMW However, it should be recalled that the curvature vorticity is inversely proportional to radius Given a fixed value of VMAX, the RMW thus has to be larger such that the radial advection of the absolute vor-ticity can be balanced by the frictional dissipation
4 Maximum potential intensity and RMW Although the analytical dependence of the RMW on the hurricane intensity as given by Eq.10 is desirable for understanding the evolution of the RMW, this form con-tains the explicit radial inflow U that is difficult to obtain directly Under the observations (o4) and (o5) in Sect.2, it
is however possible to find a precise expression for U in terms of the thermodynamic property of the atmosphere, using the neutral slantwise assumption as in Emanuel (1986) This will allow us to link the hurricane MPI directly with the breaking RMW Rb To this end, note again that the tangential momentum Eq.6 for the PBL at the stationary phase is given by
Um
Vm
Rb
þ f
¼ CD
where the subscript m denotes the values of all variables at the stationary phase of the mature hurricanes to distinguish with the breaking moment b (see Fig.1) Note that because
of observation (o5), Rm: Rb, and so there is no need for separate variable Rm Our task now is to eliminate Um in
Eq 12to obtain a functional dependence of the maximum strength of hurricanes on the RMW Rb Note that hereafter
we will work only at the point r = Rbsuch that qv/qr = 0 (Emanuel 1986); the capital letters Um, Vm, or Rbindicate this purposely Consider next the thermodynamics equation within the PBL during the hurricane stationary phase Under this condition, we have (see Bister and Emanuel1998)
UmCpo ln he0
or ¼ 1
Ts
ose
where Ts is the surface temperature, he0is the equivalent potential temperature within the PBL, Cp is the specific heat capacity, and the surface entropy flux se per unit density is given by
se¼ CTjVmjCpðln hes ln he0Þ ð14Þ where hes is the surface equivalent potential temperature, and CTis the exchange coefficient for entropy Recall that
Fig 5 The stationary RMW Rb as a function of the ration Vb/Ub
between the tangential flow and radial flow at the breaking point as
given by Eq 11 with j = 7.6 9 10-6
Trang 8for the well-mixed PBL, qse/qz & se/H (Holton2004), use
of Eqs.13and14leads to
Um¼CTjVmjðln hes ln he0Þ
Because an ascending parcel along the absolute angular
momentum surface within the eyewall is saturated,
integration of the thermal wind relationship along an
M-surface from the top of the PBL to the tropopause then
gives us (see Emanuel1986)
R2
mCp
o ln he
or ðTPBL ToutÞ VmRbðVmþ3
2fRbÞ ð16Þ where he*is the saturated equivalent potential temperature
along the M-surface, Tout is an average outflow
temperature, and TPBLis the temperature at the top of the
PBL, which could be approximated to Ts as in Emanuel
(1986) Rearrange Eq.16such that
o ln he
R2
mCpðTPBL ToutÞðVmþ
3
2fRbÞ ð17Þ Because this saturated value is originated from the top
of PBL, it is reasonable to assume that he*&he0(see Bister
and Emanuel 1998) Plugging Eq.17 into Eq.15 then
gives us:
Um¼ CTRb
H
ðTs ToutÞ
Ts
jVmj
VmðVmþ3
2fRbÞCpðln hes ln he0Þ
ð18Þ Substitution of Eq.18into Eq.12results in
Vm2 ¼CT
CD
Cpðln hes ln he0ÞðTs ToutÞ
Ts
Vmþ fRb
ðVmþ3
2fRbÞ ð19Þ Note that because
Vmþ fRb
Vmþ3
2fRb
1 fRb
2Vm
ð20Þ
Eq.19can be written as
Vm2 ¼ 1 fRb
2Vm
where VE denotes the theoretical maximum potential
tangential wind according to Emanuel’s (1986) MPI
theory that is defined as
VE2¼CT
CD
Cpðln hes ln he0ÞðTs ToutÞ
Ts
ð22Þ Rearranging Eq.21leads to
Rb¼ 2V
2
E V2
m
V2
E
Vm
Several noteworthy conclusions can be obtained from
Eq.23 First, the potential maximum (axisymmetric)
surface wind Vm must be larger than VE because
Rb[ 0 In particular, Eq 23 implies that the smaller the stationary RMW of a hurricane is at the breaking point, the stronger the hurricane would be at the later time when
it approaches the maximum intensity To see this point in more detail, note that if we take dRb/dVm, it can be seen that Rb has its maximum when V2
m¼ V2
E=3: For
Vm2[ V2
E=3; the smaller Rb corresponds to a stronger
Vm For V2
m\V2
E=3; Vmwill increase with Rb Because the actual value of Rbis mostly smaller than 150 km, Vmis
in practice sufficiently close to VE that the condition
Vm2[ V2
E=3 is dominantly satisfied As a result, the smaller RMW will correspond to the stronger intensity
as documented previously (see, e.g., Willoughby and Rahn2004) The theoretical upper limit VEcorresponds to the limit at which the breaking RMW Rbis equal to zero (the possibility of Vm to be greater than VE will be addressed below when the unbalanced flow is taken into account) Recall from observation (o4) that the breaking moment of the RMW contraction always happens at the middle of the intensification, well before hurricanes reach their MPI limit As a result, Eq 23 puts some causal constraints on the deterministic role of the RMW and the hurricane MPI
Second, Eq.23indicates that given the same RMW, Rb and MPI hurricanes tend to be weaker at higher latitudes due to the Coriolis factor in the denominator If the cau-sality implied in Eq.23is neglected, one can actually put this statement a bit differently that hurricanes at higher latitudes will have a smaller RMW, given the same intensity Such dependence of the hurricane size on lati-tudes can be used to verify the validity of relationship
Eq 23statistically Although the role of Rbin determining the maximum intensity is fairly small due to the weakness
of the Coriolis parameter, the above result could capture a correlation between the hurricane size and intensity that has not been derived previously
As seen from Eq.23, Vmmust be larger than VE How-ever, the theoretical upper-bound VEgiven by Eq.22has received much criticism as it is based essentially on the gradient balance assumption A recent study by Bryan and Rotunno (2009) pointed out that the gradient wind assumption is not accurate even above the PBL, particularly along the RMW up to the tropopause The unbalanced contributions are the main cause for the underestimation of the analytical MPI value VEas compared to the actual MPI value observed in a number of experiments A modified version of Emanuel’s (1986) MPI theory taking into account the imbalance of the gradient wind above the PBL results in a significantly higher bound for VEas indicated in Bryan and Rotunno (2009) The modified MPI theory pro-posed by Bryan and Rotunno (2009) can be incorporated in
Trang 9Eq.23by simply replacing the value of VEin Eq.21by a
new value VEMgiven by
VEM2 ¼ V2
where the correction term c depends on the azimuthal
vorticity, vertical motion at the top of the PBL, and the
RMW; all are evaluated at r = R The slight dependence of
c on RMW will not change the implications inferred from
Eq.23as it results in a negligible correction to Eq.23 The
inclusion of the unbalanced part in Eq.23, i.e., replacing
VEby VEM, thus allows for Vm to be substantially higher
than the VEvalue while still maintaining the condition that
Rb[ 0
Although VEMis supposed to be used for estimating the
MPI, it should be noted that it is VE, not VEM,that is well
consistent with the climatology of hurricane intensity
dis-tribution despite the imperfect assumption of the gradient
wind balance As explained in Bryan and Rotunno (2009),
there is a counter-balance between the gradient balance
approximation and the assumption of PBL inviscid flow;
the underestimation of the hurricane intensity by the
gra-dient balance approximation is offset by the stronger radial
inflow due to the inviscid PBL assumption Thus, it should
be more appropriate to explain the relationship Eq.23 in
the climatological framework rather than for a particular
single hurricane simulation
5 Conclusion
In this study, details of the hurricane radius of maximum
wind (RMW) contraction have been explored A number of
behaviors of the RMW contraction were documented in our
series of ensemble real-time simulations of Hurricane
Katrina (2005) using the WRF model and in the idealized
experiments with the Rotunno and Emanuel’s (1987)
axi-symmetric hurricane model Of specific interest is that the
RMW contraction shows persistently an instant of abrupt
slowing down at the middle of the hurricane rapid
inten-sification and becomes nearly stationary afterward Such
break in the RMW contraction was observed in all of our
experiments, both real-time ensemble simulations of
Katrina and idealized simulations with the axisymmetric
hurricane model
To investigate the contraction of the RMW more
quantitatively, a kinematic model has been presented The
model revealed two main processes that govern the
con-traction of the RMW: (1) the inward advection by the radial
inflow that tends to shift the RMW inward, and (2) the
frictional dissipation that tends to erase any newly formed
RMW The first appears to dominate during the early
development of hurricanes, while the second mechanism
becomes significant only at the later development near the
inner-core region after the hurricane intensity becomes sufficiently strong As soon as the frictional dissipation can balance the inward advection by the radial inflow, the contraction quickly experiences a slowing down period and the RMW can maintain a stationary value after that This explains why the RMW always contracts as hurricanes intensify, and the contraction only slows down after the hurricane intensity reaches some threshold
The role of frictional dissipation in preventing the col-lapse of the RMW was demonstrated further in our experiments with the Rotunno and Emanuel’s model By varying the drag coefficient, it was found that the RMW contraction rate is slower for the smaller drag coefficient, which is consistent with our proposed kinematic model Use of the well-mixed boundary layer approximation and the Rankine-like profile provided some additional con-straints on the dependence of the breaking point of the RMW contraction on the hurricane intensity Specifically, (1) the larger the maximal surface wind is, the smaller the RMW should be in order for hurricanes to experience the breaking contraction; and (2) the larger the radial inflow is, the larger the breaking radius would be
As the RMW contraction shows a consistent breaking at the middle of the hurricane intensification, this puts some causal constraints on the hurricane maximum potential intensity Utilizing Emanuel’s assumption of the neutral slantwise convection and the gradient wind balance, we have obtained an explicit relationship between the sta-tionary RMW and the hurricane maximum intensity; the smaller the RMW of a hurricane is at the breaking point, the stronger the hurricane intensity is at the later time The theoretical maximum potential intensity as obtained in Emanuel (1986) corresponds to a complete collapse of the RMW Furthermore, the relationship also implies that the higher the latitude at which a hurricane is located, the weaker its intensity would be, given the same inner-core size
As a final note, we should mention that the kinematic model in this study is by no mean complete Instead, the focus was solely on the direct evolution of an axisymmetric vortex from the first principle to see how far the contraction
of the RMW from this model can compare with the con-traction from a full physics hurricane model A compre-hensive treatment should include also the evolution of the radial inflow that is controlled by the diabatic heating source according to the Sawyer–Eliassen equation as well
as environmental conditions Recent studies by Wang (2009), Hill and Lackmann (2009), Xu and Wang (2010) showed the important role of moisture source to the final size of hurricanes Such outer contributions would, how-ever, require a more complete examination of the full primitive equations and the induced diabatic heating In this study, no attempt has been made to study the evolution
Trang 10of the secondary circulation but simply considered the
maximum of the radial inflow at the location of the
max-imum surface wind as a given function at each instant of
time
Acknowledgments The author is grateful to Dr Fuqing Zhang and
his research group for their various in depth discussions and to two
anonymous Reviewers for their invaluable comments and
sugges-tions, which have improved the quality of this study This research
was partly supported during the author’s postdoctoral period at the
Pennsylvania State University, under Dr Fuqing Zhang’s research
grant, and partly by the Vietnam Ministry of Science and Technology
Foundation (NCCB-DHUD.2011-G/10).
Appendix
To show that the linearity assumption of the tangential flow
within the inner-core region is not contradicting to the
condition qv/qr = 0, we attempt to construct in this
appendix an example of a piecewise smooth profile that
could satisfy both the linearity and the smoothness as
follows
vðrÞ ¼
xR1þ f ðrÞ R1\r R2
8
<
where R1and R2can be regarded as the radius at the inner
and outer edge of a hurricane eyewall, and f(r) is a smooth
function that satisfies qf(r)/qr|RMW= 0 Because the
eye-wall can be considered as a thin region, R1* R2*RMW
and so Eq.1could be ensured as expected
References
Bister M, Emanuel K (1998) Dissipative heating and hurricane
intensity Meteor Atm Phys 52:233–240
Black ML, Willoughby HE (1992) The concentric eyewall cycle of
hurricane Gilbert Mon Weather Rev 120:947–957
Bryan GH, Rotunno R (2009) The maximum intensity of tropical
cyclones in axisymmetric numerical model simulations Mon
Weather Rev 137:1770–1789
Corbosiero KL, Molinari J, Black ML (2005) The structure and
evolution of hurricane Elena (1985) Part I: symmetric
intensi-fication Mon Weather Rev 133:2905–2921
Emanuel KA (1986) An air-sea interaction theory for tropical
cyclones Part I: steady state maintenance J Atmos Sci
43:585–605
Hack JJ, Schubert WH (1986) Nonlinear response of atmospheric
vortices to heating by organized cumulus convection J Atmos
Sci 43:1559–1573
Hill KA, Lackmann GM (2009) Influence of environmental humidity
on tropical cyclone size Mon Weather Rev 137:3294–3315
Holton JR (2004) An introduction to dynamic meteorology
Aca-demic Press, New York, p 535 pp
Kaplan J, DeMaria M (2003) Large-scale characteristics of rapidly intensifying tropical cyclones in the North Atlantic basin Weather Forecast 18:1093–1108
Kepert J, Wang Y (2001) The dynamics of boundary layer jets within the tropical cyclone core Part II: nonlinear enhancement.
J Atoms Sci 58:2485–2501 Kieu CQ, Zhang DL (2009) An analytical model for the rapid intensification of tropical cyclones Quart J Royal Meteorol Soc 135:1336–1349
Kieu CQ, Chen H, Zhang DL (2010) An examination of the pressure-wind relationship for intense tropical cyclones Weather Forecast 25:895–907
Knaff JA, Zehr RM (2007) Re-examination of tropical cyclone wind pressure relationships Weather Forecast 22:71–88
Knaff JA, Sampson CR, DeMaria M, Marchok TP, Gross JM, McAdie CJ (2007) Statistical tropical cyclone wind radii prediction using climatology and persistence Weather Forecast 22:781–791
Liu Y, Zhang DL, Yau MK (1999) A multiscale numerical study of Hurricane Andrew (1992) Part II: Kinematics and inner-core structures Mon Weather Rev 127:2597–2616
McNoldy BD (2004) Triple eyewall in hurricane Juliette Bull Amer Met Soc 85:1663–1666
Molinari J, Vollaro D (1990) External influences on hurricane intensity Part ii: vertical structure and response of the hurricane vortex J Atmos Sci 47:1902–1918
Pasch RJ, Blake ES, Cobb HD, Roberts DP (2009) Tropical cyclone report: Hurricane Wilma 1525 October 2005 National Hurricane Center
Rotunno R, Emanuel KA (1987) An air-sea interaction theory for tropical cyclones Part II: Evolutionary study using a non-hydrostatic axisymmetric numerical model J Atmos Sci 44:542–561
Shapiro LJ, Willoughby HE (1982) The response of balanced hurricanes to local sources of heat and momentum J Atmos Sci 39:378–394
Snyder C, Zhang F (2003) Assimilation of simulated Doppler radar observations with an ensemble Kalman filter Mon Weather Rev 131:1663–1677
Wang Y (2008) Structure and formation of an annular hurricane simulated in a fully compressible, non-hydrostatic model TCM4.
J Atmos Sci 65:1505–1527 Wang Y (2009) How do outer spiral rainbands affect tropical cyclone structure and intensity? J Atmos Sci 66:1250–1273
Weng Y, Zhang F (2011) Assimilating airborne Doppler radar observations with an ensemble Kalman filter for convection-permitting hurricane initialization and prediction: Katrina (2005) Mon Weather Rev doi: 10.1175/2011MWR3602.1 (in press)
Willoughby HE (1990) Temporal changes of the primary circulation
in tropical cyclones J Atmos Sci 47:242–264 Willoughby HE, Rahn ME (2004) Parametric representation of the primary hurricane vortex Part I: Observations and evaluation of the Holland (1980) model Mon Weather Rev 132:3033–3048 Willoughby HE, Clos JA, Shoreibah MG (1982) Concentric eyewalls, secondary wind maxima, and the evolution of the hurricane vortex J Atmos Sci 39:395–411
Xu J, Wang Y (2010) Sensitivity of the simulated tropical cyclone inner-core size to the initial vortex size Mon Weather Rev 138:4135–4157
Zhu T, Zhang DL, Weng F (2004) Numerical simulation of hurricane bonnie (1998) Part I: eyewall evolution and intensity changes.
J Atmos Sci 132:225–241