• Asselin, R., 1972: Frequency filter for time integrations. Mon. Wea. Rev., 100, 487490, https://doi.org/10.1175/1520-0493(1972)100<0487:FFFTI>2.3.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Bister, M., and K. A. Emanuel, 2002: Low frequency variability of tropical cyclone potential intensity 1. Interannual to interdecadal variability. J. Geophys. Res., 107, 4801, https://doi.org/10.1029/2001JD000776.

    • Search Google Scholar
    • Export Citation
  • Bryan, G. H., and J. M. Fritsch, 2002: A benchmark simulation for moist nonhydrostatic numerical model. Mon. Wea. Rev., 130, 29172928, https:/doi.org/10.1175/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: Configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553597, https://doi.org/10.1002/qj.828.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Demuth, J. L., M. DeMaria, J. A. Knaff, and T. H. Vonder Haar, 2004: Evaluation of advanced microwave sounding unit tropical-cyclone intensity and size estimation algorithms. J. Appl. Meteor. Climatol., 43, 282296, https://doi.org/10.1175/1520-0450(2004)043%3C0282:EOAMSU%3E2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Edwards, J. M., 2019: Sensible heat fluxes in the nearly neutral boundary layer: The impact of frictional heating within the surface layer. J. Atmos. Sci., 76, 10391053, https://doi.org/10.1175/JAS-D-18-0158.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585605, https:/doi.org/10.1175/1520-0469(1986)043<0585:AASITF>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., 1988: The maximum intensity of hurricanes. J. Atmos. Sci., 45, 11431155, https://doi.org/10.1175/1520-0469(1988)045<1143:TMIOH>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., 1995: Sensitivity of tropical cyclones to surface exchange coefficients and a revised steady-state model incorporating eye dynamics. J. Atmos. Sci., 52, 39693976, https://doi.org/10.1175/1520-0469(1995)052<3969:SOTCTS>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., 2012: Self-stratification of tropical cyclone outflow. Part II: Implications to storm intensification. J. Atmos. Sci., 69, 988996, https://doi.org/10.1175/JAS-D-11-0177.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Emanuel, K. A., 2017: A fast intensity simulator for tropical cyclone risk analysis. Nat. Hazards, 88, 779796, https://doi.org/10.1007/s11069-017-2890-7.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kieu, C., 2015: Revisiting dissipative heating in tropical cyclone maximum potential intensity. Quart. J. Roy. Meteor. Soc., 141, 24972504, https://doi.org/10.1002/qj.2534.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kilroy, G., M. T. Montgomery, and R. K. Smith, 2017: The role of boundary-layer friction on tropical cyclogenesis and subsequent intensification. Quart. J. Roy. Meteor. Soc., 143, 25242536, https://doi.org/10.1002/qj.3104.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Landsea, C. W., and J. L. Franklin, 2013: Atlantic hurricane database uncertainty and presentation of a new database format. Mon. Wea. Rev., 141, 35763592, https://doi.org/10.1175/MWR-D-12-00254.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, T.-H., and Y. Wang, 2021a: The role of boundary layer dynamics in tropical cyclone intensification. Part I: Sensitivity to surface drag coefficient. J. Meteor. Soc. Japan, 99, 537554, https://doi.org/10.2151/jmsj.2021-027.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, T.-H., and Y. Wang, 2021b: The role of boundary layer dynamics in tropical cyclone intensification. Part II: Sensitivity to initial vortex structure. J. Meteor. Soc. Japan, 99, 555573, https://doi.org/10.2151/jmsj.2021-028.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, Y., Y. Wang, Y. Lin, and R. Fei, 2020: Dependence of superintensity of tropical cyclones on SST in axisymmetric numerical simulations. Mon. Wea. Rev., 148, 47674781, https://doi.org/10.1175/MWR-D-20-0141.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Li, Y., Y. Wang, and Z.-M. Tan, 2022: Why does the initial wind profile inside the radius of maximum wind matter to tropical cyclone development? J. Geophys. Res. Atmos., 127, e2022JD037039, https:/doi.org/10.1029/2022JD037039.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Ozawa, H., and S. Shimokawa, 2015: Thermodynamics of a tropical cyclone: Generation and dissipation of mechanical energy in a self-driven convection system. Tellus, 67A, 24216, https://doi.org/10.3402/tellusa.v67.24216.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peng, K., and J. Fang, 2021: Effect of the initial vortex vertical structure on early development of an axisymmetric tropical cyclone. J. Geophys. Res. Atmos., 126, e2020JD033697, https://doi.org/10.1029/2020JD033697.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Peng, K., R. Rotunno, and G. H. Bryan, 2018: Evaluation of a time-dependent model for the intensification of tropical cyclones. J. Atmos. Sci., 75, 21252138, https://doi.org/10.1175/JAS-D-17-0382.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rotunno, R., and K. A. Emanuel, 1987: An air-sea interaction theory for tropical cyclones. Part II. J. Atmos. Sci., 44, 542561, https://doi.org/10.1175/1520-0469(1987)044<0542:AAITFT>2.0.CO;2.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Rousseau-Rizzi, R., and K. Emanuel, 2021: A weak temperature gradient framework to quantify the causes of potential intensity variability in the tropics. J. Climate, 34, 86698682, https://doi.org/10.1175/JCLI-D-21-0139.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, Y., and J. Xu, 2010: Energy production, frictional dissipation, and maximum intensity of a numerically simulated tropical cyclone. J. Atmos. Sci., 67, 97116, https://doi.org/10.1175/2009JAS3143.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, Y., Y.-L. Li, J. Xu, Z.-M. Tan, and Y.-L. Lin, 2021a: The intensity dependence of tropical cyclone intensification rate in a simplified energetically based dynamical system model. J. Atmos. Sci., 78, 20332045, https://doi.org/10.1175/JAS-D-20-0393.1.

    • Search Google Scholar
    • Export Citation
  • Wang, Y., Y. Li, and J. Xu, 2021b: A new time-dependent theory of tropical cyclone intensification. J. Atmos. Sci., 78, 38553865, https://doi.org/10.1075/JAS-D-21-0169.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wang, Y., J. Xu, and Z.-M. Tan, 2022: Contribution of dissipative heating to the intensity dependence of tropical cyclone intensification. J. Atmos. Sci., 79, 21692180, https://doi.org/10.1175/JAS-D-22-0012.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., and Y. Wang, 2015: A statistical analysis on the dependence of tropical cyclone intensification rate on the storm intensity and size in the North Atlantic. Wea. Forecasting, 30, 692701, https://doi.org/10.1175/WAF-D-14-00141.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., and Y. Wang, 2018a: Dependence of tropical cyclone intensification rate on sea surface temperature, storm intensity, and size in the western North Pacific. Wea. Forecasting, 33, 523537, https://doi.org/10.1175/WAF-D-17-0095.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., and Y. Wang, 2018b: Effect of the initial vortex structure on intensification of a numerically simulated tropical cyclone. J. Meteor. Soc. Japan, 96, 111126, https://doi.org/10.2151/jmsj.2018-014.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., and Y. Wang, 2022: Potential intensification rate of tropical cyclones in a simplified energetically based dynamical system model: An observational analysis. J. Atmos. Sci., 79, 10451055, https://doi.org/10.1175/JAS-D-21-0217.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., Y. Wang, and Z.-M. Tan, 2016: The relationship between sea surface temperature and maximum potential intensification rate of tropical cyclones over the North Atlantic. J. Atmos. Sci., 73, 49794988, https://doi.org/10.1175/JAS-D-16-0164.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., Y. Wang, and C. Yang, 2019a: Factors affecting the variability of maximum potential intensity (MPI) of tropical cyclones over the North Atlantic. J. Geophys. Res. Atmos., 124, 66546668, https://doi.org/10.1029/2019JD030283.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Xu, J., Y. Wang, and C. Yang, 2019b: Interbasin differences in the median and variability of tropical cyclone MPI in the Northern Hemisphere. J. Geophys. Res. Atmos., 124, 13 71413 730, https://doi.org/10.1029/2019JD031588.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Zeng, Z., L. Chen, and Y. Wang, 2008: An observational study of environmental dynamical control of tropical cyclone intensity in the North Atlantic. Mon. Wea. Rev., 136, 33073322, https://doi.org/10.1175/2008MWR2388.1.

    • Crossref
    • Search Google Scholar
    • Export Citation
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Some Refinements to the Most Recent Simple Time-Dependent Theory of Tropical Cyclone Intensification and Sensitivity

Yuqing WangaInternational Pacific Research Center, School of Ocean and Earth Science and Technology, University of Hawai‘i at Mānoa, Honolulu, Hawaii
bDepartment of Atmospheric Sciences, School of Ocean and Earth Science and Technology, University of Hawai‘i at Mānoa, Honolulu, Hawaii

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Zhe-Min TancSchool of Atmospheric Sciences, Nanjing University, Nanjing, China

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Yuanlong LicSchool of Atmospheric Sciences, Nanjing University, Nanjing, China

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Abstract

Several key issues in the simple time-dependent theories of tropical cyclone (TC) intensification developed in recent years remain, including the lack of a closure for the pressure dependence of saturation enthalpy at sea surface temperature (SST) under the eyewall and the definition of environmental conditions, such as the boundary layer enthalpy in TC environment and the TC outflow-layer temperature. In this study, some refinements to the most recent time-dependent theory of TC intensification have been accomplished to resolve those issues. The first is the construction of a functional relationship between the surface pressure under the eyewall and the TC intensity, which is derived using the cyclostrophic wind balance and calibrated using full-physics axisymmetric model simulations. The second is the definition of TC environment that explicitly includes the air–sea temperature difference. The third is the TC outflow-layer temperature parameterized as a linear function of SST based on global reanalysis data. With these refinements, the updated time-dependent theory becomes self-contained and can give both the intensity-dependent TC intensification rate (IR) and the maximum potential intensity (MPI) under given environmental thermodynamic conditions. It is shown that the pressure dependence of saturation enthalpy at SST can lead to an increase in the TC MPI and IR by about half of that induced by dissipative heating due to surface friction. Results also show that both MPI and IR increase with increasing SST, surface enthalpy exchange coefficient, environmental air–sea temperature difference, and decreasing environmental boundary layer relative humidity, but the maximum IR is insensitive to surface drag coefficient.

Significance Statement

A new advancement in the recent decade is the development of simple time-dependent theories of tropical cyclone (TC) intensification, which can provide quantitative understanding of TC intensity change. However, several key issues in these simple time-dependent theories remain, including the lack of a closure for the pressure dependence of saturation enthalpy at sea surface temperature under the eyewall and the definition of environmental conditions. These are resolved in this study with several refinements, which make the most recent time-dependent theory of TC intensification self-contained and practical.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Yuqing Wang, yuqing@hawaii.edu

Abstract

Several key issues in the simple time-dependent theories of tropical cyclone (TC) intensification developed in recent years remain, including the lack of a closure for the pressure dependence of saturation enthalpy at sea surface temperature (SST) under the eyewall and the definition of environmental conditions, such as the boundary layer enthalpy in TC environment and the TC outflow-layer temperature. In this study, some refinements to the most recent time-dependent theory of TC intensification have been accomplished to resolve those issues. The first is the construction of a functional relationship between the surface pressure under the eyewall and the TC intensity, which is derived using the cyclostrophic wind balance and calibrated using full-physics axisymmetric model simulations. The second is the definition of TC environment that explicitly includes the air–sea temperature difference. The third is the TC outflow-layer temperature parameterized as a linear function of SST based on global reanalysis data. With these refinements, the updated time-dependent theory becomes self-contained and can give both the intensity-dependent TC intensification rate (IR) and the maximum potential intensity (MPI) under given environmental thermodynamic conditions. It is shown that the pressure dependence of saturation enthalpy at SST can lead to an increase in the TC MPI and IR by about half of that induced by dissipative heating due to surface friction. Results also show that both MPI and IR increase with increasing SST, surface enthalpy exchange coefficient, environmental air–sea temperature difference, and decreasing environmental boundary layer relative humidity, but the maximum IR is insensitive to surface drag coefficient.

Significance Statement

A new advancement in the recent decade is the development of simple time-dependent theories of tropical cyclone (TC) intensification, which can provide quantitative understanding of TC intensity change. However, several key issues in these simple time-dependent theories remain, including the lack of a closure for the pressure dependence of saturation enthalpy at sea surface temperature under the eyewall and the definition of environmental conditions. These are resolved in this study with several refinements, which make the most recent time-dependent theory of TC intensification self-contained and practical.

© 2023 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).

Corresponding author: Yuqing Wang, yuqing@hawaii.edu
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