The impact of the storm-induced SST cooling on hurricane intensity
Abstract
The effects of storm-induced sea surface temperature (SST) cooling on hurricane intensity are investigated using a 5-day cloud-resolving simulation of Hurricane Bonnie (1998). Two sensitivity simulations are performed in which the storm-induced cooling is either ignored or shifted close to the modeled storm track. Results show marked sensitivity of the model-simulated storm intensity to the magnitude and relative position with respect to the hurricane track. It is shown that incorporation of the storm-induced cooling, with an average value of 1.3°C, causes a 25-hPa weakening of the hurricane, which is about 20 hPa per 1°C change in SST. Shifting the SST cooling close to the storm track generates the weakest storm, accounting for about 47% reduction in the storm intensity. It is found that the storm intensity changes are well correlated with the air-sea temperature difference. The results have important implications for the use of coupled hurricane-ocean models for numerical prediction of tropical cyclones.
Key words
SST feedback hurricane intensity numerical modelingPreview
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References
- Bao, J.-W., J. M. Wilczak, J.-K. Choi, and L. H. Kantha, 2000: Numerical simulations of air-sea interaction under high wind conditions using a coupled model: A study of hurricane development. Mon. Wea. Rev., 128, 2190–2210.Google Scholar
- Bender, M. A., I. Ginis, and Y. Kurihara, 1993: Numerical simulations of tropical cyclone-ocean interaction with a high resolution coupled model. J. Geophys. Res., 98, 23245–23263.Google Scholar
- Bender, M. A., and I. Ginis, 2000: Real-case simulations of hurricane-ocean interaction using a high-resolution coupled model: Effects on hurricane intensity. Mon. Wea. Rev., 128, 917–946.Google Scholar
- Braun, S. A., and W.-K. Tao, 2000: Sensitivity of high-resolution simulations of Hurricane Bob (1991) to planetary boundary layer parameterizations. Mon. Wea. Rev., 128, 3941–3961.Google Scholar
- Businger, J. A., 1982: Equations and concepts. Atmospheric Turbulence and Air Pollution Modeling, F. T. M. Nieuwstadt and H. van Dop, Eds., Reidel, Dordrecht, 1–36.Google Scholar
- Cayan, D. R., 1992: Latent and sensible heat flux anomalies over the northern oceans: Driving the sea surface temperature. J. Phys. Oceanogr., 22, 859–881.CrossRefGoogle Scholar
- Chang, S. W., and R. A. Anthes, 1979: The mutual response of the tropical cyclone and the ocean. J. Phys. Oceanogr., 9, 128–135.CrossRefGoogle Scholar
- Charnock, H., 1955: Wind stress on a water surface. Quart. J. Roy. Meteor. Soc., 81, 639–940.Google Scholar
- Chelton, D. B., F. J. Wentz, C. L. Gentemann, R. A. de Szoeke, and M. G. Schlax, 2000: Satellite microwave SST observations of transequatorial tropical instability waves. Geophys. Res. Lett., 27, 1239–1242.CrossRefGoogle Scholar
- Cione, J. J., P. G. Black, and S. H. Houston, 2000: Surface observations in the hurricane environment. Mon. Wea. Rev., 128, 1550–1561.Google Scholar
- Dudhia, J., 1993: A nonhydrostatic version of the Penn State-NCAR mesoscale model: Validation tests and simulation of an Atlantic cyclone and cold front. Mon. Wea. Rev., 121, 1493–1513.Google Scholar
- Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585–604.Google Scholar
- Emanuel, K. A., 1988: Toward a general theory of hurricanes. American Scientist, 76, 371–379.Google Scholar
- Emanuel, K. A., 1991: The theory of hurricanes. Annual Review of Fluid Mechanics, 23, 179–196.CrossRefGoogle Scholar
- Fisher, E. L., 1958: Hurricane and the sea surface temperature field. J. Meteor., 15, 328–333.Google Scholar
- Garratt, J. R., 1992: The Atmospheric Boundary Layer. Cambridge University Press, 316pp.Google Scholar
- Grell, G. A., J.Dudhia, and D. R.Stauffer, 1995: A description of the Fifth Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Tech Note NCAR/TN-398+STR, 138pp. [Available from NCAR Publications Office, P. O. Box 3000, Boulder, CO 80307-3000.]Google Scholar
- Holland, G. J., 1997: Maximum potential intensity of tropical cyclones. J. Atmos. Sci., 54, 2519–2541.CrossRefGoogle Scholar
- Hong, X., S. W. Chang, S. Raman, L. K. Shay, and R. Hodur, 2000: The interaction between Hurricane Opal (1995) and a warm core ring in the Gulf of Mexico. Mon. Wea. Rev., 128, 1347–1365.Google Scholar
- Jacob, S. D., L. K. Shay, A. J. Mariano, and P. G. Black, 2000: The 3-D oceanic mixed layer response to Hurricane Gilbert. J. Phys. Oceanogr., 30, 1407–1429.CrossRefGoogle Scholar
- Large, W. G., and S. Pond, 1982: Sensible and latent heat flux measurements over the ocean. J. Phys. Oceanogr., 12, 464–482.CrossRefGoogle Scholar
- Leipper, D., 1967: Observed ocean conditions and Hurricane Hilda, 1964. J. Atmos. Sci., 24, 182–196.CrossRefGoogle Scholar
- Liu, Y., D.-L. Zhang and M.K. Yau, 1999: A multiscale numerical study of Hurricane Andrew (1992). Part II: Kinematics and inner-core structures. Mon. Wea. Rev., 127, 2597–2616.Google Scholar
- Ooyama, K., 1969: Numerical simulation of the life cycle of tropical cyclones. J. Atmos. Sci., 26, 3–40.CrossRefGoogle Scholar
- Price, J. F., 1981: Upper ocean response to a hurricane. J. Phys. Oceanogr., 11, 153–175.Google Scholar
- Riehl, H., 1950: A model for hurricane formation. J. Appl. Phys., 21, 917–925.CrossRefGoogle Scholar
- Sakaida, F., H. Kawamura, and Y. Toba, 1998: Sea surface cooling caused by typhoons in the Tohuku area in August 1989. J. Geophys. Res., 103 (C1), 1053–1065.CrossRefGoogle Scholar
- Schade, L. R., and K. A. Emanuel, 1999: The ocean’s effect on the intensity of tropical cyclones: Results from a simple coupled atmospheric-ocean model. J. Atmos. Sci., 56, 642–651.CrossRefGoogle Scholar
- Smith, S. D., 1988: Coefficients for sea surface wind stress, heat flux, and wind profiles as a function of wind speed and temperature. J. Geophys. Res., 93, 15467–15472.Google Scholar
- Sutyrin, G. G., and A. P. Khain, 1984: Effect of the ocean-atmosphere interaction on the intensity of a moving tropical cyclone. Atmospheric and Oceanic Physics, 20, 787–794.Google Scholar
- Tao, W.-K., and J. Simpson, 1993: The Goddard cumulus ensemble model. Part I: Model description. Terr. Atmos. Oceanic Sci., 4, 35–72.Google Scholar
- Wang, Y., 2001: An explicit simulation of tropical cyclones with a triply nested movable mesh primitive equation model—TCM3. Part I: Description of the model and control experiment. Mon. Wea. Rev., 129, 1270–1294.Google Scholar
- Zhang, D., and R. A. Anthes, 1982: A high-resolution model of the planetary boundary layer—Sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteor., 21, 1594–1609.CrossRefGoogle Scholar
- Zhang, D.-L., Y. Liu, and M. K. Yau, 1999: Surface winds at landfall of Hurricane Andrew (1992)—A reply. Mon. Wea. Rev., 127, 1711–1721.Google Scholar
- Zhu, Tong, D.-L. Zhang, and F. Weng, 2002: Impact of the advanced microwave sounding unit measurements on hurricane prediction. Mon. Wea. Rev., 130, 2416–2432.Google Scholar
- Zhu, Tong, D.-L. Zhang, and F. Weng, 2004: Numerical simulation of Hurricane Bonnie (1998). Part I: Eyewall evolution and intensity changes. Mon. Wea. Rev., 132, 225–241.Google Scholar