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Difference between revisions of "Generalized Asymmetric Holland Model"

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<math> B = (V_{max})^2\rho e/(P_n - P_c) \quad </math> (5)
 
<math> B = (V_{max})^2\rho e/(P_n - P_c) \quad </math> (5)
  
It was notable that the maximum wind speed is proportional to the square root of <math> B </math> and irrespective of the (<math> RMW </math>), given a constant pressure drop. It was also reasoned by Holland that a plausible range of <math> B </math> would be between 1 and 2.5 for realistic hurricanes. Substituting (4) and (5) back into (1) and (2) yields the final radial pressure and wind profiles for the HM
+
It was notable that the maximum wind speed is proportional to the square root of <math> B </math> and irrespective of the (<math> R_{max} </math>), given a constant pressure drop. It was also reasoned by Holland that a plausible range of <math> B </math> would be between 1 and 2.5 for realistic hurricanes. Substituting (4) and (5) back into (1) and (2) yields the final radial pressure and wind profiles for the HM
  
 
<math> P(r) = P_c + (P_n - P_c)e^{-(R_{max}/r)^B} \quad </math> (6)
 
<math> P(r) = P_c + (P_n - P_c)e^{-(R_{max}/r)^B} \quad </math> (6)
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The HM was implemented in the ADICRC as a wind module with NWS = 19. When sparse observations of a hurricane are given, estimates of the <math> R_{max} </math> and shape parameter <math> B </math> may be estimated by fitting data into the radial wind equation, which in turn allow us to compute <math> P(r) </math> and <math> V_g(r) </math> along the radius <math> r </math> of the hurricane. However, discrepancies between wind observations and computed winds were sometimes found, and were negatively correlated to the Rossby number at <math> r = R_{max} </math>, defined as
 
The HM was implemented in the ADICRC as a wind module with NWS = 19. When sparse observations of a hurricane are given, estimates of the <math> R_{max} </math> and shape parameter <math> B </math> may be estimated by fitting data into the radial wind equation, which in turn allow us to compute <math> P(r) </math> and <math> V_g(r) </math> along the radius <math> r </math> of the hurricane. However, discrepancies between wind observations and computed winds were sometimes found, and were negatively correlated to the Rossby number at <math> r = R_{max} </math>, defined as
  
<math> R_0 = \frac{Nonlinear Acceleration}{Coriolis force} ~ \frac{V_{max}^2/R_{max}}{V_{max}f} = \frac{V_{max}}{R_{max}f} \quad </math> (8)
+
<math> R_o = \frac{Nonlinear Acceleration}{Coriolis force} ~ \frac{V_{max}^2/R_{max}}{V_{max}f} = \frac{V_{max}}{R_{max}f} \quad </math> (8)
  
By definition, a large <math> R_0 (\approx 10^3) </math> describes a system in cyclostrophic balance that is dominated by the inertial and centrifugal force with negligible Coriolis force, such as a tornado or the inner core of an intense hurricane, whereas a small value <math> (\approx 10^{-2} \sim 10^2) </math> signifies a system in geostrophic balance where the Coriolis force plays an important role, such as the outer region of a hurricane. As a result, the assumption of cyclostrophic balance at <math> R_{max} </math> made in HM is mostly valid for describing an intense and narrow (small <math> R_{max} </math>) hurricane with a large <math> R_0 </math>, but not applicable for a weak and broad hurricane with a small <math> R_0 </math>. This intrinsic problem with the HM calls our intention to develop a generalized model that will work consistently for a wide range of hurricanes, which theoretically can be accomplished by removing the above cyclostrophic balance assumption and re-derive the radial pressure and wind equations (6)&(7).   
+
By definition, a large <math> R_o (\approx 10^3) </math> describes a system in cyclostrophic balance that is dominated by the inertial and centrifugal force with negligible Coriolis force, such as a tornado or the inner core of an intense hurricane, whereas a small value <math> (\approx 10^{-2} \sim 10^2) </math> signifies a system in geostrophic balance where the Coriolis force plays an important role, such as the outer region of a hurricane. As a result, the assumption of cyclostrophic balance at <math> R_{max} </math> made in HM is mostly valid for describing an intense and narrow (small <math> R_{max} </math>) hurricane with a large <math> R_o </math>, but not applicable for a weak and broad hurricane with a small <math> R_o </math>. This intrinsic problem with the HM calls our intention to develop a generalized model that will work consistently for a wide range of hurricanes, which theoretically can be accomplished by removing the above cyclostrophic balance assumption and re-derive the radial pressure and wind equations (6)&(7).   
  
 
<!--  *********************  chapter  2 ******************* -->
 
<!--  *********************  chapter  2 ******************* -->
 
== Derivation of the GAHM ==
 
== Derivation of the GAHM ==
  
The GAHM also starts with the same radial pressure and wind equations (1)&(2) with shape parameters <math> A </math> and <math> B </math> as in the HM. Without assuming cyclostrophic balance at <math> R_{max} </math>), we take <math> dV_g/dr = 0 </math> at <math> r = R_{max} </math> to get the adjusted shape parameter <math> B_g </math> as
+
The GAHM also starts with the same radial pressure and wind equations (1)&(2) with shape parameters <math> A </math> and <math> B </math> as in the HM. Without assuming cyclostrophic balance at <math> R_{max} </math>, we take <math> dV_g/dr = 0 </math> at <math> r = R_{max} </math> to get the adjusted shape parameter <math> B_g </math> as
  
<math> B_g = \frac{(V_{max}^2 + V_{max}R_{max}f)\rho e^\phi}{\phi(P_n - P_c)} = B \frac{(1+1/R_0)e^{\phi - 1}}{\phi} \quad </math> (9)   
+
<math> B_g = \frac{(V_{max}^2 + V_{max}R_{max}f)\rho e^\varphi}{\varphi(P_n - P_c)} = B \frac{(1+1/R_o)e^{\varphi - 1}}{\varphi} \quad </math> (9)   
  
where <math> {\phi} </math> is a scaling parameter introduced to simplify the derivation process, defined as
+
where <math> {\varphi} </math> is a scaling parameter introduced to simplify the derivation process, defined as
  
<math> \phi = \frac{A}{R_{max}^B} \quad </math> or   <math> A = \phi R_{max}^B \quad </math> (10)
+
<math> \varphi = \frac{A}{R_{max}^B} \quad </math> or <math> \quad A = \varphi R_{max}^B \quad </math> (10)
  
 
and later derived as
 
and later derived as
  
<math> \phi = 1 + \frac{V_{max}R_{max}f}{B_g(V_{max}^2+V_{max}R_{max}f)} = 1 + \frac{1/R_0}{B_g(1+1/R_0)}  \quad </math> (11)
+
<math> \varphi = 1 + \frac{V_{max}R_{max}f}{B_g(V_{max}^2+V_{max}R_{max}f)} = 1 + \frac{1/R_o}{B_g(1+1/R_o)}  \quad </math> (11)
  
Thus, the <math> R_{max} </math> in the GAHM is not entirely defined by the shape parameters <math> A </math> and <math> B </math> as in the HM, but also by the scaling factor <math> {\phi} </math>, as Equation (11) indicates that <math> {\phi} \ge 1 </math>. Numerical solutions for <math> B_g </math> and <math> {\phi} </math> can be solved iteratively in the model using Equation (9)&(11). Figure 1 illustrates how <math> B_g/B </math> and <math> \phi </math> vary with <math> \log_{10}R_0 </math> given different <math> B </math> values. It is evident that values of both <math> B_g/B </math> and <math> \phi </math> remain close to 1 when <math> \log_{10}R_0 </math> is within the range of [1,2], but increase noticeably as <math> \log_{10}R_0 </math> decreases below 1, and the smaller the value of <math> B </math>, the bigger the changes.
+
Thus, the <math> R_{max} </math> in the GAHM is not entirely defined by the shape parameters <math> A </math> and <math> B </math> as in the HM, but also by the scaling factor <math> {\varphi} </math>, as Equation (11) indicates that <math> {\varphi} \ge 1 </math>. Numerical solutions for <math> B_g </math> and <math> {\varphi} </math> can be solved iteratively in the model using Equation (9)&(11). Figure 1 illustrates how <math> B_g/B </math> and <math> \varphi </math> vary with <math> \log_{10}R_o </math> given different <math> B </math> values. It is evident that values of both <math> B_g/B </math> and <math> \varphi </math> remain close to 1 when <math> \log_{10}R_o </math> is within the range of [1,2], but increase noticeably as <math> \log_{10}R_o </math> decreases below 1, and the smaller the value of <math> B </math>, the bigger the changes.
  
 
Substituting (9)&(11) back into (1)&(2) yields the final radial pressure and wind equations for the GAHM
 
Substituting (9)&(11) back into (1)&(2) yields the final radial pressure and wind equations for the GAHM
  
<math> P(r) = P_c + (P_n - P_c)e^{-\phi(R_{max}/r)^B_g} \quad </math> (12)
+
<math> P(r) = P_c + (P_n - P_c)e^{-\varphi(R_{max}/r)^{B_g}} \quad </math> (12)
  
<math> V_g(r) = \sqrt{V_{max}^2(1+1/R_0)e^{1-(R_{max}/r)^B_g}(R_{max}/r)^B_g + (\frac{rf}{2})^2} - \frac{rf}{2} \quad </math> (13)
+
<math> V_g(r) = \sqrt{V_{max}^2(1+1/R_o)e^{1-(R_{max}/r)^{B_g}}(R_{max}/r)^B_g + (\frac{rf}{2})^2} - \frac{rf}{2} \quad </math> (13)
  
 +
Influence of the Coriolis force on the radial pressure and wind profiles are evidenced by the presence of <math> R_o </math> and <math> \varphi </math> in (12)&(13). A special case scenario is when we set <math> f=0 </math>, which corresponds to an infinitely large <math> R_o </math>, then (12)&(13) in the GAHM reduce to (6)&(7) in the HM. However,for a hurricane with a relatively small <math> R_o </math>, the influence of the Coriolis force can only be addressed by the GAHM. It meets our expectation that the GAHM’s solution approaches to that of the HM’s when the influence of Coriolis force is small, but departs from it when the Coriolis force plays an important role in the wind system.
 +
 +
The above reasoning can be demonstrated by the 3D plots in Figure 2, which show the normalized gradient winds of the HM (left panel) and the GAHM (right panel) as functions of the normalized radial distances <math> r/R_{max} </math>, the Holland <math> B </math> parameter, and <math> R_o </math>. In both panels, each colored surface represents the normalized gradient winds corresponding to a unique Holland B value. By definition, we get <math> V_g = V_{max} </math> at <math> r = R_{max} </math>, which means all the surfaces in each panel should intersect with the plane of <math> r/R_{max} = 1 </math> on the plane of <math> V_g/V_{max} = 1 </math>, no matter what values of <math> R_o </math>. However, the line of intersection (shown by the black line) shown in the left panel deviates from the plane of <math> V_g/V_{max} =1 </math> as <math> \log_{10}R_o </math> decreases from 2 to close to 0 (<math> R_o </math> decreases from 100 to 1), while remains on the plane regardless of how <math> R_o </math> changes in the right panel, demonstrating that the GAHM is mathematically more coherent than the HM. 
 +
 +
To have a dissective look of the surface plots in Figure 2, we draw slices perpendicular to the axis of <math> \log_{10}R_o </math> at three different values 0, 1, 2, and plot the lines of intersection with each surface in Figure 3. It is evident that we get <math> V_g = V_{max} </math> at <math> r = R_{max} </math> consistently in the right panel for the GAHM regardless of the value of <math> R_o </math>. The HM in the left panel, however, generates distorted wind profiles with underestimated maximum winds skewed inward towards the storm center, espeically when <math> \log_{10}R_o < 1 </math>. As a results, when both models being applied to real hurricane cases, the GAHM will perform more consistently than the HM.
  
  
  
 
<!--  *********************  chapter  3 ******************* -->
 
<!--  *********************  chapter  3 ******************* -->
== Azimuthally-Varying RMW ==
+
== Calculation of the <math> R_{max} </math> ==
 +
 
 +
Both the HM and the GAHM use processed forecast advisories (during active hurricanes) or best track advisories (post-hurricanes) from the National Hurricane Center (NHC) as input files, which contain storm information such as storm location, storm movement, central pressure, 1 minute averaged maximum wind, radii to the 34-, 50-, and/or 64-kt storm isotaches in 4 storm quadrants (NE, SE, SW, NW), etc. As a standard procedure, the quadrant-varying  <math> B_g </math> and <math> R_{max} </math> are pre-computed in the ASWIP program (an external FORTRAN program developed by Flemming et al. and further developed in this study to accommodate the GAHM) prior to running an ADCIRC simulation forced with the GAHM wind model.
 +
 
 +
First, the maximum sustained wind and the 34-, 50-, and/or 64-kt isotaches in NHC’s forecast or “best track” advisories, normally reported at 10 meter height, must be scaled to the gradient wind level to remove the influence of the boundary layer effect. Practically, the maximum gradient wind can be directly calculated as
 +
<math> V_{max} = \vert \frac{\overrightarrow{V_M} - \gamma\overrightarrow{V_T}}{W_{rf}} \vert = \frac{V_M - \gamma V_T}{W_{rf}} \quad </math> (14)
 +
 
 +
where <math> \overrightarrow{V_M} </math> is the reported maximum sustained wind at 10 meter height assuming in the same direction as <math> \overrightarrow{V_T} </math>, <math> \overrightarrow{V_T} </math> is the storm translational speed calculated from successive storm center locations, <math> W_{rf} = 0.9 </math> is the wind reduction factor for reducing wind speed from the gradient wind level to the surface at 10 meter height (Powell et al., 2003), and <math> \gamma </math> is the damp factor for <math> V_T </math>. The following formula of <math> \gamma </math> is employ in the ASWIP program:
 +
 
 +
<math> \gamma = \frac{V_g}{V_{max}} \quad </math> (15)
 +
 
 +
which is the ratio of gradient wind speed to the maximum wind speed along a radial wind profile. Thus, <math> \gamma </math> is zero at storm center, and increases with <math> r </math> until reaches a maximum value of 1 at <math> R_{max} </math>, then gradually decreases outward to zero. 
 +
 
 +
The gradient wind speed at the radii to specified storm isotaches in different storm quadrants can be calculated from the observed isotaches similarly as
 +
 
 +
<math> V_r = \vert \overrightarrow{V_r}\vert = \frac{\vert\overrightarrow{V_{isot}} - \gamma\overrightarrow{V_T}  \vert} \quad </math> (16)
 +
 
 +
where <math> \overrightarrow{V_{isot}} </math> is the observed isotach wind speed with an unknown angle <math> \varepsilon </math>, and <math> \overrightarrow{V_r} </math> is the gradient wind speed with an inward rotation angle  <math> \beta </math>, defined as Equation (19) according to the Queensland Government's Ocean Hazards Assessment (2001):
 +
 
 +
<math> \beta = \begin{cases}
 +
10^{\circ}, & r<R_{max} \\
 +
10^{\circ} + 75(r-R_{max})/R_{max}, & R_{max} \le r<1.2R_{max} \\
 +
25^{\circ}, & r \ge 1.2R_{max}
 +
\end{cases} \quad  </math>    (17)
 +
 
 +
 
 +
Rewriting (16) in x- and y-components yields:
 +
 
 +
<math> V_r\cos(angle(i)+90+\beta)=V_{isot}\cos(\varepsilon)-\gamma {\mu}_T \quad </math>  (18)
 +
 
 +
<math> V_r\sin(angle(i)+90+\beta)=V_{isot}\sin(\varepsilon)-\gamma {\nu}_T \quad </math>  (19)
  
 +
where <math> angle(i) </math> is the <math> i-th </math> of the NE, SE, SW, NW storm quadrants at <math>  45^\circ, 135^\circ, 225^\circ, 315^\circ </math>, <math> V_{isot}\cos(\varepsilon) </math> and <math> V_{isot}\sin(\varepsilon) </math> are the zonal and meridional components of <math> \overrightarrow{V_{isot}} </math>, <math> {\mu}_T </math> and <math> {\nu}_T </math> are the zonal and meridional components of <math> \overrightarrow{V_T} </math>.
  
 +
Given an initial guess of <math> R_{max} </math>, values of <math> B_g </math> and <math> \varphi </math> can be solved iteratively from (9) and (11) until both converge, and <math> V_r </math> can be estimated by combining (15), (17), (18), and (19). Plugging <math> V_{max} </math> from (14), the above calculated <math> B_g, \varphi, V_{max}, V_r </math> and the radius <math> r </math> at <math> V_r </math> back into (13), a new <math> R_{max} </math> can be inversely solved by a root-finding algorithm. Since the above calculations are carried out based on an initial guess of <math> R_{max} </math>, wWe need to repeat the entire process until <math> R_{max} </math> converges.
  
 +
In case where multiple isotaches are given in the forecast/best track advisories, the <math> R_{max} </math> for the highest isotach will be calculated using the above procedure, and used as the pseudo <math> R_{max} </math> for the entire storm (physically, there is only one <math> R_{max} </math> found along a radial wind profile ). For each lower isotach, <math> R_{max} </math> will be calculated with the pseudo <math> R_{max} </math> set as its initial value to determine the inward rotation angle <math> \beta </math> following the above process only once. The use of the pseudo <math> R_{max} </math> across all storm isotaches ensures that the cross-isobar frictional inflow angle changes smoothly along the radius according to (17).
 +
 +
Occasionally, we have to deal with situations where <math> V_{max} < V_T </math>, which violate the (13) so <math> R_{max} </math> couldn't be calculated   
  
  
Line 83: Line 123:
 
=== Single-Isotach Approach ===
 
=== Single-Isotach Approach ===
 
=== Multiple-Isotach Approach ===
 
=== Multiple-Isotach Approach ===
 +
 +
 +
 +
<math>  </math>
 +
 +
<math> \frac{\nu^2}{r} + f\nu - \frac{1}{\rho_0}\dfrac{\partial p}{\partial r} = 0 \quad</math> ()
 +
 +
<math> P(r) = P_c + (P_n - P_c)e^{-A/r^B} \quad </math> (1)
 +
 +
<math> V_g(r) = \sqrt{AB(P_n - P_c)e^{-A/r^B}/\rho r^B + (\frac{rf}{2})^2} - \frac{rf}{2} \quad </math> (2)
 +
 +
<math> V_c(r) = \sqrt{AB(P_n - P_c)e^{-A/r^B}/\rho r^B} \quad </math> (3)
 +
 +
<math> A = (R_{max})^B \quad </math> (4)
 +
 +
<math> B = (V_{max})^2\rho e/(P_n - P_c) \quad </math> (5)
 +
 +
<math> P(r) = P_c + (P_n - P_c)e^{-(R_{max}/r)^B} \quad </math> (6)
 +
 +
<math> V_g(r) = \sqrt{(V_{max})^2e^{1-(R_{max}/r)^B}(R_{max}/r)^B + (\frac{rf}{2})^2} - \frac{rf}{2} \quad </math> (7)
 +
 +
<math> R_o = \frac{V_{max}}{R_{max}f} \quad </math> (8)
 +
 +
<math> B_g = \frac{(V_{max}^2 + V_{max}R_{max}f)\rho e^\varphi}{\varphi(P_n - P_c)} = B \frac{(1+1/R_o)e^{\varphi - 1}}{\varphi} \quad </math> (9)
 +
 +
<math> \varphi = \frac{A}{R_{max}^B} \quad </math> or  <math> A = \varphi R_{max}^B \quad </math> (10)
 +
 +
<math> \varphi = 1 + \frac{V_{max}R_{max}f}{B_g(V_{max}^2+V_{max}R_{max}f)} = 1 + \frac{1/R_o}{B_g(1+1/R_o)}  \quad </math> (11)
 +
 +
<math> P(r) = P_c + (P_n - P_c)e^{-\varphi(R_{max}/r)^B_g} \quad </math> (12)
 +
 +
<math> V_g(r) = \sqrt{V_{max}^2(1+1/R_o)e^{1-(R_{max}/r)^B_g}(R_{max}/r)^B_g + (\frac{rf}{2})^2} - \frac{rf}{2} \quad </math> (13)
 +
 +
<math> V_{max} = \frac{V_M - \gammaV_T}{W_{rf}} \quad </math> (14)
 +
 +
<math> \gamma = \frac{V_g}{V_{max}} \quad </math> (15)
 +
 +
<math> V_r = \vert \overrightarrow{V_{r\_inflow}\vert = \frac{\vert\overrightarrow{V_{isot}} - \gamma\overrightarrow{V_T}  \vert} \quad </math> (16)
 +
 +
<math> \quad </math>
 +
 +
<math> \quad </math>
 +
 +
<math> </math>
 +
 +
<math> \beta = \begin{cases}
 +
10^\circ & r<R_{max} \\
 +
10^\circ + 75(r-R_{max})/R_{max} & R_{max} \le r<1.2R_{max}\\
 +
25^\circ & r \ge 1.2R_{max}
 +
\end{cases}
 +
\begin{array}{lll}
 +
\mathrm{I}.  &  r<R_{64}&  f_{64}=1,f_{50}=0,f_{34}=0 \\
 +
\mathrm{II}. & R_{64}\le r<R_{50} &  f_{64}=(r-R_{64})/(R_{50}-R_{64}),f_{50}=(R_{50}-r)/(R_{50}-R_{64}), f_{34}=0 \\
 +
\mathrm{III}. & R_{50}\le r<R_{34} &  f_{64}=0,f_{50}=0,f_{34}=1
 +
\end{array}\quad </math>
 +
 +
 +
<math> \beta = \left\{\begin{matrix}
 +
10^\circ & r<R_{max} \\
 +
10^\circ + 75(r-R_{max})/R_{max} & R_{max} \le r<1.2R_{max}\\
 +
25^\circ & r \ge 1.2R_{max}
 +
\end{matrix}\right \quad </math>

Revision as of 01:16, 6 April 2020

The Generalized Asymmetric Holland Model (GAHM) is a parametric hurricane vortex model developed in ADCIRC for operational forecasting purpose. Based on the classic Holland Model, the GAHM removes the assumption of cyclostrophic balance at the radius of maximum wind, and allows for a better representation of a wide range of hurricanes. Another important feature of the GAHM is the introduction of a composite wind method, which when activated enables the usage of multiple storm isotaches in reconstructing the spatial pressure and wind fields, while only one isotach is used in the HM.

The Classic Holland Model

The Holland Model (HM, 1980) is an analytic model that describes the radial pressure and wind profiles of a standard hurricane. To begin with, Holland found that the normalized pressure profiles of a number of hurricanes resemble a family of rectangular hyperbolas and may be approximated by a hyperbolic equation, which after antilogarithms and rearranging yields the radial pressure equation:

(1)

where is the central pressure, is the ambient pressure (theoretically at infinite radius), is the pressure at radius from the center of the hurricane, and and are shape parameters that may be empirically estimated from observations in a hurricane.

Substituting (1) into the gradient wind equation, which describes a steady flow balanced by the horizontal pressure gradient force, the centripetal acceleration, and the Coriolis acceleration for a vortex above the influence of the planetary boundary layer where the atmospheric flow decouples from surface friction (Powell et al. 2009), gives the radial wind equation of a hurricane:

(2)

where is the gradient wind at radius , is the density of air, is the Coriolis parameter. In the region of the maximum winds, if we assume that the Coriolis force is negligible in comparison to the pressure gradient and centripetal force, then the air is in cyclostrophic balance. By removing the Coriolis term in (2) we get the cyclostrophic wind

(3)

By setting at radius to the maximum wind , it is obtained that

(4)

Thus the () is irrelevant to the relative value of ambient and central pressures, and is solely defined by the shape parameters and . Substituting (4) back into (3) to get rid of , we get an estimate of as a function of the maximum wind speed

(5)

It was notable that the maximum wind speed is proportional to the square root of and irrespective of the (), given a constant pressure drop. It was also reasoned by Holland that a plausible range of would be between 1 and 2.5 for realistic hurricanes. Substituting (4) and (5) back into (1) and (2) yields the final radial pressure and wind profiles for the HM

(6)

(7)

The HM was implemented in the ADICRC as a wind module with NWS = 19. When sparse observations of a hurricane are given, estimates of the and shape parameter may be estimated by fitting data into the radial wind equation, which in turn allow us to compute and along the radius of the hurricane. However, discrepancies between wind observations and computed winds were sometimes found, and were negatively correlated to the Rossby number at , defined as

(8)

By definition, a large describes a system in cyclostrophic balance that is dominated by the inertial and centrifugal force with negligible Coriolis force, such as a tornado or the inner core of an intense hurricane, whereas a small value signifies a system in geostrophic balance where the Coriolis force plays an important role, such as the outer region of a hurricane. As a result, the assumption of cyclostrophic balance at made in HM is mostly valid for describing an intense and narrow (small ) hurricane with a large , but not applicable for a weak and broad hurricane with a small . This intrinsic problem with the HM calls our intention to develop a generalized model that will work consistently for a wide range of hurricanes, which theoretically can be accomplished by removing the above cyclostrophic balance assumption and re-derive the radial pressure and wind equations (6)&(7).

Derivation of the GAHM

The GAHM also starts with the same radial pressure and wind equations (1)&(2) with shape parameters and as in the HM. Without assuming cyclostrophic balance at , we take at to get the adjusted shape parameter as

(9)

where is a scaling parameter introduced to simplify the derivation process, defined as

or (10)

and later derived as

(11)

Thus, the in the GAHM is not entirely defined by the shape parameters and as in the HM, but also by the scaling factor , as Equation (11) indicates that . Numerical solutions for and can be solved iteratively in the model using Equation (9)&(11). Figure 1 illustrates how and vary with given different values. It is evident that values of both and remain close to 1 when is within the range of [1,2], but increase noticeably as decreases below 1, and the smaller the value of , the bigger the changes.

Substituting (9)&(11) back into (1)&(2) yields the final radial pressure and wind equations for the GAHM

(12)

(13)

Influence of the Coriolis force on the radial pressure and wind profiles are evidenced by the presence of and in (12)&(13). A special case scenario is when we set , which corresponds to an infinitely large , then (12)&(13) in the GAHM reduce to (6)&(7) in the HM. However,for a hurricane with a relatively small , the influence of the Coriolis force can only be addressed by the GAHM. It meets our expectation that the GAHM’s solution approaches to that of the HM’s when the influence of Coriolis force is small, but departs from it when the Coriolis force plays an important role in the wind system.

The above reasoning can be demonstrated by the 3D plots in Figure 2, which show the normalized gradient winds of the HM (left panel) and the GAHM (right panel) as functions of the normalized radial distances , the Holland parameter, and . In both panels, each colored surface represents the normalized gradient winds corresponding to a unique Holland B value. By definition, we get at , which means all the surfaces in each panel should intersect with the plane of on the plane of , no matter what values of . However, the line of intersection (shown by the black line) shown in the left panel deviates from the plane of as decreases from 2 to close to 0 ( decreases from 100 to 1), while remains on the plane regardless of how changes in the right panel, demonstrating that the GAHM is mathematically more coherent than the HM.

To have a dissective look of the surface plots in Figure 2, we draw slices perpendicular to the axis of at three different values 0, 1, 2, and plot the lines of intersection with each surface in Figure 3. It is evident that we get at consistently in the right panel for the GAHM regardless of the value of . The HM in the left panel, however, generates distorted wind profiles with underestimated maximum winds skewed inward towards the storm center, espeically when . As a results, when both models being applied to real hurricane cases, the GAHM will perform more consistently than the HM.


Calculation of the

Both the HM and the GAHM use processed forecast advisories (during active hurricanes) or best track advisories (post-hurricanes) from the National Hurricane Center (NHC) as input files, which contain storm information such as storm location, storm movement, central pressure, 1 minute averaged maximum wind, radii to the 34-, 50-, and/or 64-kt storm isotaches in 4 storm quadrants (NE, SE, SW, NW), etc. As a standard procedure, the quadrant-varying and are pre-computed in the ASWIP program (an external FORTRAN program developed by Flemming et al. and further developed in this study to accommodate the GAHM) prior to running an ADCIRC simulation forced with the GAHM wind model.

First, the maximum sustained wind and the 34-, 50-, and/or 64-kt isotaches in NHC’s forecast or “best track” advisories, normally reported at 10 meter height, must be scaled to the gradient wind level to remove the influence of the boundary layer effect. Practically, the maximum gradient wind can be directly calculated as (14)

where is the reported maximum sustained wind at 10 meter height assuming in the same direction as , is the storm translational speed calculated from successive storm center locations, is the wind reduction factor for reducing wind speed from the gradient wind level to the surface at 10 meter height (Powell et al., 2003), and is the damp factor for . The following formula of is employ in the ASWIP program:

(15)

which is the ratio of gradient wind speed to the maximum wind speed along a radial wind profile. Thus, is zero at storm center, and increases with until reaches a maximum value of 1 at , then gradually decreases outward to zero.

The gradient wind speed at the radii to specified storm isotaches in different storm quadrants can be calculated from the observed isotaches similarly as

(16)

where is the observed isotach wind speed with an unknown angle , and is the gradient wind speed with an inward rotation angle , defined as Equation (19) according to the Queensland Government's Ocean Hazards Assessment (2001):

(17)


Rewriting (16) in x- and y-components yields:

(18)

(19)

where is the of the NE, SE, SW, NW storm quadrants at , and are the zonal and meridional components of , and are the zonal and meridional components of .

Given an initial guess of , values of and can be solved iteratively from (9) and (11) until both converge, and can be estimated by combining (15), (17), (18), and (19). Plugging from (14), the above calculated and the radius at back into (13), a new can be inversely solved by a root-finding algorithm. Since the above calculations are carried out based on an initial guess of , wWe need to repeat the entire process until converges.

In case where multiple isotaches are given in the forecast/best track advisories, the for the highest isotach will be calculated using the above procedure, and used as the pseudo for the entire storm (physically, there is only one found along a radial wind profile ). For each lower isotach, will be calculated with the pseudo set as its initial value to determine the inward rotation angle following the above process only once. The use of the pseudo across all storm isotaches ensures that the cross-isobar frictional inflow angle changes smoothly along the radius according to (17).

Occasionally, we have to deal with situations where , which violate the (13) so couldn't be calculated


A Linearly-weighted Composite Wind Method

Case Studies

Single-Isotach Approach

Multiple-Isotach Approach


()

(1)

(2)

(3)

(4)

(5)

(6)

(7)

(8)

(9)

or (10)

(11)

(12)

(13)

Failed to parse (unknown function "\gammaV"): {\displaystyle V_{max} = \frac{V_M - \gammaV_T}{W_{rf}} \quad } (14)

(15)

Failed to parse (syntax error): {\displaystyle V_r = \vert \overrightarrow{V_{r\_inflow}\vert = \frac{\vert\overrightarrow{V_{isot}} - \gamma\overrightarrow{V_T} \vert} \quad } (16)



Failed to parse (syntax error): {\displaystyle \beta = \left\{\begin{matrix} 10^\circ & r<R_{max} \\ 10^\circ + 75(r-R_{max})/R_{max} & R_{max} \le r<1.2R_{max}\\ 25^\circ & r \ge 1.2R_{max} \end{matrix}\right \quad }