Editorial Type:
Article
Article Type:
Research Article

A Sensitivity Study of the Thermodynamic Environment on GFDL Model Hurricane Intensity: Implications for Global Warming

Weixing Shen Graduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island

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Robert E. Tuleya NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, New Jersey

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Isaac Ginis Graduate School of Oceanography, University of Rhode Island, Narragansett, Rhode Island

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Print Publication:
01 Jan 2000
DOI:
https://doi.org/10.1175/1520-0442(2000)013<0109:ASSOTT>2.0.CO;2
Page(s):
109–121
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Abstract

In this study, the effect of thermodynamic environmental changes on hurricane intensity is extensively investigated with the National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory hurricane model for a suite of experiments with different initial upper-tropospheric temperature anomalies up to ±4°C and sea surface temperatures ranging from 26° to 31°C given the same relative humidity profile.

The results indicate that stabilization in the environmental atmosphere and sea surface temperature (SST) increase cause opposing effects on hurricane intensity. The offsetting relationship between the effects of atmospheric stability increase (decrease) and SST increase (decrease) is monotonic and systematic in the parameter space. This implies that hurricane intensity increase due to a possible global warming associated with increased CO2 is considerably smaller than that expected from warming of the oceanic waters alone. The results also indicate that the intensity of stronger (weaker) hurricanes is more (less) sensitive to atmospheric stability and SST changes. The model-attained hurricane intensity is found to be well correlated with the maximum surface evaporation and the large-scale environmental convective available potential energy. The model-attained hurricane intensity is highly correlated with the energy available from wet-adiabatic ascent near the eyewall relative to a reference sounding in the undisturbed environment for all the experiments. Coupled hurricane–ocean experiments show that hurricane intensity becomes less sensitive to atmospheric stability and SST changes since the ocean coupling causes larger (smaller) intensity reduction for stronger (weaker) hurricanes. This implies less increase of hurricane intensity related to a possible global warming due to increased CO2.

Corresponding author address: Dr. Weixing Shen, Physical Oceanography, Graduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882.

Abstract

In this study, the effect of thermodynamic environmental changes on hurricane intensity is extensively investigated with the National Oceanic and Atmospheric Administration Geophysical Fluid Dynamics Laboratory hurricane model for a suite of experiments with different initial upper-tropospheric temperature anomalies up to ±4°C and sea surface temperatures ranging from 26° to 31°C given the same relative humidity profile.

The results indicate that stabilization in the environmental atmosphere and sea surface temperature (SST) increase cause opposing effects on hurricane intensity. The offsetting relationship between the effects of atmospheric stability increase (decrease) and SST increase (decrease) is monotonic and systematic in the parameter space. This implies that hurricane intensity increase due to a possible global warming associated with increased CO2 is considerably smaller than that expected from warming of the oceanic waters alone. The results also indicate that the intensity of stronger (weaker) hurricanes is more (less) sensitive to atmospheric stability and SST changes. The model-attained hurricane intensity is found to be well correlated with the maximum surface evaporation and the large-scale environmental convective available potential energy. The model-attained hurricane intensity is highly correlated with the energy available from wet-adiabatic ascent near the eyewall relative to a reference sounding in the undisturbed environment for all the experiments. Coupled hurricane–ocean experiments show that hurricane intensity becomes less sensitive to atmospheric stability and SST changes since the ocean coupling causes larger (smaller) intensity reduction for stronger (weaker) hurricanes. This implies less increase of hurricane intensity related to a possible global warming due to increased CO2.

Corresponding author address: Dr. Weixing Shen, Physical Oceanography, Graduate School of Oceanography, University of Rhode Island, Narragansett, RI 02882.

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  • Beckerle, J. C., 1974: Air and sea temperatures during traverse of hurricane Alma 1966. J. Phys. Oceanogr.,4, 487–492.

  • Bender, M. A., and I. Ginis, 2000: Real case simulations of hurricane–ocean interaction using a high-resolution coupled model: Effect on hurricane intensity. Mon. Wea. Rev., in press.

  • ——, ——, and Y. Kurihara, 1993a: Numerical simulations of tropical cyclone–ocean interaction with a high-resolution coupled model. J. Geopys. Res.,98 (D12), 23 245–23 262.

  • ——, R. J. Ross, R. E. Tuleya, and Y. Kurihara, 1993b: Improvements in tropical cyclone track and intensity forecasts using the GFDL initialization system. Mon. Wea. Rev.,121, 2047–2061.

  • Betts, A. K., 1982: Saturation point analysis of moist convective overturning. J. Atmos. Sci.,39, 674–701.

  • Blumberg, A. F., and G. L. Mellor, 1987: A description of a three-dimensional coastal ocean circulation model. Three-Dimensional Coastal Ocean Models, N. Heaps, Ed., American Geophysical Union, 208 pp.

  • Cione, J. J., and P. G. Black, 1998: Surface thermodynamic observations within the tropical cyclone inner core. Preprints, Symp. on Tropical Cyclone Intensity Change, Phoenix, AZ, Amer. Meteor. Soc., 141–145.

  • Emanuel, K. A., 1987: The dependence of hurricane intensity on climate. Nature,326, 483–485.

  • ——, 1988: Toward a general theory of hurricanes. Amer. Sci.,76, 371–379.

  • ——, 1995: Sensitivity of tropical cyclones to surface exchange coefficients and a revised steady-state model incorporating eye dynamics. J. Atmos. Sci.,52, 3969–3976.

  • ——, J. D. Neelin, and C. S. Bretherton, 1994: On large scale circulations in convecting atmospheres. Quart. J. Roy. Meteor. Soc.,120, 1111–1143.

  • Ginis, I., 1995: Ocean response to tropical cyclones. Global Perspectives on Tropical Cyclones, R. Elsberry, Ed., World Meteorological Organization., 198–260.

  • Hansen, J., A. Lacis, D. Rind, L. Russell, P. Stone, I. Fung, R. Ruedy, and J. Lerner, 1984: Climate sensitivity analysis of feedback mechanisms. Climate Processes and Climate Sensitivity, Geophys. Monogr., No. 29, Amer. Geophys. Union, 130–163.

  • Henderson-Sellers, A., and Coauthors, 1998: Tropical cyclones and global climate change: A post-IPCC assessment. Bull. Amer. Meteor. Soc.,79, 19–38.

  • Holland, J. G., 1997: The maximum potential intensity of tropical cyclones. J. Atmos. Sci.,54, 2519–2540.

  • Knutson, T. R., and R. E. Tuleya, 1999: Increased hurricane intensity with CO2-induced warming as simulated using the GFDL hurricane prediction system. Climate Dyn.,15, 503–519.

  • ——, ——, and Y. Kurihara, 1998: Simulated increase of hurricane intensities in a CO2-warmed climate. Science,279, 1018–1020.

  • Kurihara, Y., 1973: A scheme of moist convective adjustment. Mon. Wea. Rev.,101, 547–553.

  • ——, and M. A. Bender, 1980: Use of a movable nested mesh model for tracking a small vortex. Mon. Wea. Rev.,108, 1792–1809.

  • ——, and R. E. Tuleya, 1981: A numerical simulation study on the genesis of a tropical storm. Mon. Wea. Rev.,109, 1629–1653.

  • ——, M. A. Bender, R. E. Tuleya, and R. J. Ross, 1990: Prediction experiments of Hurricane Gloria (1985) using a multiply nested movable mesh model. Mon. Wea. Rev.,118, 2185–2198.

  • ——, ——, and R. J. Ross, 1993: An initialization scheme of hurricane models by vortex specification. Mon. Wea. Rev.,121, 2030–2045.

  • ——, ——, R. E. Tuleya, and R. J. Ross, 1995: Improvements in the GFDL hurricane prediction system. Mon. Wea. Rev.,123, 2791–2801.

  • ——, R. E. Tuleya, and M. A. Bender, 1998: The GFDL hurricane prediction system and its performance in the 1995 hurricane season. Mon. Wea. Rev.,126, 1306–1322.

  • Lacis, A. A., and J. E. Hansen, 1974: A parameterization for the absorption of solar radiation in the earth’s atmosphere. J. Atmos. Sci.,31, 118–133.

  • Lighthill, J., and Coauthors, 1994: Global climate change and tropical cyclones. Bull. Amer. Meteor. Soc.,75, 2147–2157.

  • Manabe, S., and R. T. Wetherald, 1987: Tropical circulation in a time integration of a global model of soil wetness induced by an increase in atmospheric Carbon dioxide. J. Atmos. Sci.,44, 1211–1235.

  • Mellor, G. L., and T. Yamada, 1974: A hierarchy of turbulence closure models for planetary boundary layers. J. Atmos. Sci.,31, 1791–1806.

  • Oort, A. H., 1983: Global atmospheric circulation statistics, 1958–1983. NOAA Prof. Paper 14, 180 pp.

  • Riehl, H., 1954: Tropical Meteorology. McGraw-Hill, 392 pp.

  • Schade, L. R., and K. A. Emanual, 1999: The ocean’s effect on the intensity of tropical cyclones: Results from a simple coupled atmosphere-ocean model. J. Atmos. Sci.,56, 642–651.

  • Schwarzkopf, M. D., and S. B. Fels, 1991: The simplified exchange method revised: An accurate, rapid method for computation of infrared cooling rates and fluxes. J. Geophys. Res.,96, 9075–9096.

  • Smagorinsky, J., 1963: General circulation experiments with the primitive equations. I. The basic experiment. Mon. Wea. Rev.,91, 99–164.

  • Williams, E., and N. Renno, 1993: An analysis of the conditional instability of the tropical atmosphere. Mon. Wea. Rev.,121, 21–36.

  • Xu, K.-M., and K. A. Emanuel, 1989: Is the tropical atmosphere conditionally unstable? Mon. Wea. Rev.,117, 1471–1479.

  • Ye, B., A. O. Genio, and K.-W. Lo, 1998: CAPE variation in the current climate and in a climate change. J. Climate,11, 1997–2015.

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