Maximum potential intensity

The maximum potential intensity of a tropical cyclone is the theoretical limit of the strength of a tropical cyclone.

Maximum potential intensity

Due to surface friction, the inflow only partially conserves angular momentum. Thus, the sea surface lower boundary acts as both a source (evaporation) and sink (friction) of energy for the system. This fact leads to the existence of a theoretical upper bound on the strongest wind speed that a tropical cyclone can attain. Because evaporation increases linearly with wind speed (just as climbing out of a pool feels much colder on a windy day), there is a positive feedback on energy input into the system known as the Wind-Induced Surface Heat Exchange (WISHE) feedback. ^[1] This feedback is offset when frictional dissipation, which increases with the cube of the wind speed, becomes sufficiently large. This upper bound is called the "maximum potential intensity", ${\displaystyle v_{p}}$, and is given by

${\displaystyle v_{p}^{2}={\frac {C_{k}}{C_{d}}}{\frac {T_{s}-T_{o}}{T_{o}}}\Delta k}$

where ${\displaystyle T_{s}}$ is the temperature of the sea surface, ${\displaystyle T_{o}}$ is the temperature of the outflow ([K]), ${\displaystyle \Delta k}$ is the enthalpy difference between the surface and the overlying air ([J/kg]), and ${\displaystyle C_{k}}$ and ${\displaystyle C_{d}}$ are the surface exchange coefficients (dimensionless) of enthalpy and momentum, respectively. ^[2] The surface-air enthalpy difference is taken as ${\displaystyle \Delta k=k_{s}^{*}-k}$, where ${\displaystyle k_{s}^{*}}$ is the saturation enthalpy of air at sea surface temperature and sea-level pressure and ${\displaystyle k}$ is the enthalpy of boundary layer air overlying the surface.

The maximum potential intensity is predominantly a function of the background environment alone (i.e. without a tropical cyclone), and thus this quantity can be used to determine which regions on Earth can support tropical cyclones of a given intensity, and how these regions may evolve in time. ^{[3] [4]} Specifically, the maximum potential intensity has three components, but its variability in space and time is due predominantly to the variability in the surface-air enthalpy difference component ${\displaystyle \Delta k}$.

Derivation

A tropical cyclone may be viewed as a heat engine that converts input heat energy from the surface into mechanical energy that can be used to do mechanical work against surface friction. At equilibrium, the rate of net energy production in the system must equal the rate of energy loss due to frictional dissipation at the surface, i.e.

${\displaystyle W_{in}=W_{out}}$

The rate of energy loss per unit surface area from surface friction, ${\displaystyle W_{out}}$, is given by

${\displaystyle W_{out}=C_{d}\rho |\mathbf {u} |^{3}}$

where ${\displaystyle \rho }$ is the density of near-surface air ([kg/m³]) and ${\displaystyle |\mathbf {u} |}$ is the near surface wind speed ([m/s]).

The rate of energy production per unit surface area, ${\displaystyle W_{in}}$ is given by

${\displaystyle W_{in}=\epsilon Q_{in}}$

where ${\displaystyle \epsilon }$ is the heat engine efficiency and ${\displaystyle Q_{in}}$ is the total rate of heat input into the system per unit surface area. Given that a tropical cyclone may be idealized as a Carnot heat engine, the Carnot heat engine efficiency is given by

${\displaystyle \epsilon ={\frac {T_{s}-T_{o}}{T_{s}}}}$

Heat (enthalpy) per unit mass is given by

${\displaystyle k=C_{p}T+L_{v}q}$

where ${\displaystyle C_{p}}$ is the heat capacity of air, ${\displaystyle T}$ is air temperature, ${\displaystyle L_{v}}$ is the latent heat of vaporization, and ${\displaystyle q}$ is the concentration of water vapor. The first component corresponds to sensible heat and the second to latent heat.

There are two sources of heat input. The dominant source is the input of heat at the surface, primarily due to evaporation. The bulk aerodynamic formula for the rate of heat input per unit area at the surface, ${\displaystyle Q_{in:k}}$, is given by

${\displaystyle Q_{in:k}=C_{k}\rho |\mathbf {u} |\Delta k}$

where ${\displaystyle \Delta k=k_{s}^{*}-k}$ represents the enthalpy difference between the ocean surface and the overlying air. The second source is the internal sensible heat generated from frictional dissipation (equal to ${\displaystyle W_{out}}$), which occurs near the surface within the tropical cyclone and is recycled to the system.

${\displaystyle Q_{in:friction}=C_{d}\rho |\mathbf {u} |^{3}}$

Thus, the total rate of net energy production per unit surface area is given by

${\displaystyle W_{in}={\frac {T_{s}-T_{o}}{T_{s}}}\left(C_{k}\rho |\mathbf {u} |\Delta k+C_{d}\rho |\mathbf {u} |^{3}\right)}$

Setting ${\displaystyle W_{in}=W_{out}}$ and taking ${\displaystyle |\mathbf {u} |\approx v}$ (i.e. the rotational wind speed is dominant) leads to the solution for ${\displaystyle v_{p}}$ given above. This derivation assumes that total energy input and loss within the system can be approximated by their values at the radius of maximum wind. The inclusion of ${\displaystyle Q_{in:friction}}$ acts to multiply the total heat input rate by the factor ${\displaystyle {\frac {T_{s}}{T_{o}}}}$. Mathematically, this has the effect of replacing ${\displaystyle T_{s}}$ with ${\displaystyle T_{o}}$ in the denominator of the Carnot efficiency.

An alternative definition for the maximum potential intensity, which is mathematically equivalent to the above formulation, is

${\displaystyle v_{p}={\sqrt {{\frac {T_{s}}{T_{o}}}{\frac {C_{k}}{C_{d}}}(CAPE_{s}^{*}-CAPE_{b})|_{m}}}}$

where CAPE stands for the Convective Available Potential Energy, ${\displaystyle CAPE_{s}^{*}}$ is the CAPE of an air parcel lifted from saturation at sea level in reference to the environmental sounding, ${\displaystyle CAPE_{b}}$ is the CAPE of the boundary layer air, and both quantities are calculated at the radius of maximum wind. ^[5]

Characteristic values and variability on Earth

On Earth, a characteristic temperature for ${\displaystyle T_{s}}$ is 300 K and for ${\displaystyle T_{o}}$ is 200 K, corresponding to a Carnot efficiency of ${\displaystyle \epsilon =1/3}$. The ratio of the surface exchange coefficients, ${\displaystyle C_{k}/C_{d}}$, is typically taken to be 1. However, observations suggest that the drag coefficient ${\displaystyle C_{d}}$ varies with wind speed and may decrease at high wind speeds within the boundary layer of a mature hurricane. ^[6] Additionally, ${\displaystyle C_{k}}$ may vary at high wind speeds due to the effect of sea spray on evaporation within the boundary layer. ^[7]

A characteristic value of the maximum potential intensity, ${\displaystyle v_{p}}$, is 80 metres per second (180 mph; 290 km/h). However, this quantity varies significantly across space and time, particularly within the seasonal cycle, spanning a range of 0 to 100 metres per second (0 to 224 mph; 0 to 360 km/h). ^[5] This variability is primarily due to variability in the surface enthalpy disequilibrium ( ${\displaystyle \Delta k}$ ) as well as in the thermodynamic structure of the troposphere, which are controlled by the large-scale dynamics of the tropical climate. These processes are modulated by factors including the sea surface temperature (and underlying ocean dynamics), background near-surface wind speed, and the vertical structure of atmospheric radiative heating. ^[8] The nature of this modulation is complex, particularly on climate time-scales (decades or longer). On shorter time-scales, variability in the maximum potential intensity is commonly linked to sea surface temperature perturbations from the tropical mean, as regions with relatively warm water have thermodynamic states much more capable of sustaining a tropical cyclone than regions with relatively cold water. ^[9] However, this relationship is indirect via the large-scale dynamics of the tropics; the direct influence of the absolute sea surface temperature on ${\displaystyle v_{p}}$ is weak in comparison.

Empirical limit

An empirical limit on tropical cyclone intensity can also be computed using the following formula:

${\displaystyle V=A+B\cdot e^{C(T-T_{0})}}$

Where ${\displaystyle V}$ is the maximum potential velocity in meters per second; ${\displaystyle T}$ is the sea surface temperature underneath the center of the tropical cyclone, ${\displaystyle T_{0}}$ is a reference temperature (30 ˚C) and ${\displaystyle A}$, ${\displaystyle B}$ and ${\displaystyle C}$ are curve-fit constants. When ${\displaystyle A=28.2}$, ${\displaystyle B=55.8}$, and ${\displaystyle C=0.1813}$, the graph generated by this function corresponds to the 99th percentile of empirical tropical cyclone intensity data. ^[10]

See also

• Tropical cyclones portal
• Physics portal

• Atmospheric thermodynamics
• Lifted index

References

1. Emanuel, K A. (1986). "An Air-Sea Interaction Theory for Tropical Cyclones. Part I: Steady-State Maintenance". Journal of the Atmospheric Sciences. 43 (6): 585–605. Bibcode:1986JAtS...43..585E. doi: 10.1175/1520-0469(1986)043<0585:AASITF>2.0.CO;2 .
2. Bister, M.; Emanuel, K.A. (1998). "Dissipative heating and hurricane intensity". Meteorology and Atmospheric Physics. 65 (3–4): 233–240. Bibcode:1998MAP....65..233B. doi:10.1007/BF01030791. S2CID   123337988.
3. Emanuel, K. (2000). "A Statistical Analysis of Tropical Cyclone Intensity". Monthly Weather Review. 128 (4): 1139–1152. Bibcode:2000MWRv..128.1139E. doi: 10.1175/1520-0493(2000)128<1139:ASAOTC>2.0.CO;2 .
4. Knutson, T.R.; McBride, J.L.; Chan, J.; Emanuel, K.; Holland, G.; Landsea, C.; Held, I.; Kossin, J.P.; Srivastava, A.K.; Sugi, M. (2010). "Tropical cyclones and climate change". Nature Geoscience. 3 (3): 157–163. Bibcode:2010NatGe...3..157K. doi:10.1038/ngeo779. hdl: 11343/192963 .
5. Bister, M. (2002). "Low frequency variability of tropical cyclone potential intensity 1. Interannual to interdecadal variability". Journal of Geophysical Research. 107 (D24): 4801. Bibcode:2002JGRD..107.4801B. doi: 10.1029/2001JD000776 .
6. Powell, M.D.; Vickery, P.J.; Reinhold, T.A. (2003). "Reduced drag coefficient for high wind speeds in tropical cyclones". Nature. 422 (6929): 279–83. Bibcode:2003Natur.422..279P. doi:10.1038/nature01481. PMID   12646913. S2CID   4424285.
7. Bell, M.M.; Montgomery, M.T.; Emanuel, K.A. (2012). "Air–Sea Enthalpy and Momentum Exchange at Major Hurricane Wind Speeds Observed during CBLAST". Journal of the Atmospheric Sciences. 69 (11): 3197–3222. Bibcode:2012JAtS...69.3197B. doi:10.1175/JAS-D-11-0276.1. hdl: 1721.1/81202 . S2CID   17840178.
8. Emanuel, K.; Sobel, A. (2013). "Response of tropical sea surface temperature, precipitation, and tropical cyclone-related variables to changes in global and local forcing". Journal of Advances in Modeling Earth Systems. 5 (2): 447–458. Bibcode:2013JAMES...5..447E. doi: 10.1002/jame.20032 . hdl: 1721.1/85564 .
9. Woolnough, S. J.; Slingo, J. M.; Hoskins, B. J. (2000). "The Relationship between Convection and Sea Surface Temperature on Intraseasonal Timescales". Journal of Climate. 13 (12): 2086–2104. Bibcode:2000JCli...13.2086W. doi: 10.1175/1520-0442(2000)013<2086:TRBCAS>2.0.CO;2 .
10. DeMaria, Mark; John Kaplan (September 1994). "Sea Surface Temperature and the Maximum Intensity of Atlantic Tropical Cyclones". Journal of Climate . American Meteorological Society. 7 (9): 1324–1334. Bibcode:1994JCli....7.1324D. doi: 10.1175/1520-0442(1994)007<1324:SSTATM>2.0.CO;2 . ISSN   1520-0442 . Retrieved 2008-07-30.

External links

• Alternate MPI calculation
• MPI climatology
• Real-time maps of maximum potential intensity worldwide