Atlantic hurricanes and climate change. Part I: Experimental design and isolation of thermodynamic effects

Journal of Climate

Volumn 26, Issue 13, 2013, Pages 4876-4893

  Mallard, Megan S ^a,c   Lackmann, Gary M ^a   Aiyyer, Anantha ^a   Hill, Kevin ^b  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

^b AIR Worldwide Corporation   (United States)

^c U S ENVIRONMENTAL PROTECTION AGENCY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HORIZONTAL TEMPERATURE GRADIENT; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGES; LATERAL BOUNDARY CONDITIONS; PARAMETERIZATION SCHEMES; THERMODYNAMIC CHANGES; THERMODYNAMIC EFFECT; VERTICAL WIND SHEAR; WEATHER RESEARCH AND FORECASTING MODELS;

CLIMATE CHANGE; HURRICANES; THERMODYNAMICS; WEATHER FORECASTING;

SHEAR FLOW;

BOUNDARY CONDITION; BOUNDARY LAYER; CLIMATE CHANGE; DOWNSCALING; EXPERIMENTAL DESIGN; EXPERIMENTAL STUDY; FUTURE PROSPECT; HURRICANE; INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE; PARAMETERIZATION; TEMPERATURE GRADIENT; THERMODYNAMICS; WIND SHEAR;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 84880696057     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-12-00182.1     Document Type: Article

References (94)

1. Allen, M. R., and W. J. Ingram, 2002: Constraints on future changes in the hydrological cycle. Nature, 419, 224-228.
2. Argüeso, D., J. M. Hidalgo-Muñoz, S. R. Gámiz-Fortis, M. J. Esteban-Parra, and Y. Castro-Díez, 2012: High-resolution projections of mean and extreme precipitation over Spain using the WRF model (2070-2099 versus 1970-1999). Geophys. Res. Lett., 117, D12108, doi:10.1029/2011JD017399.
3. Bender, M. A., T. R. Knutson, R. E. Tuleya, J. J. Sirutis, G. A. Vecchi, S. T. Garner, and I. M. Held, 2010: Modeled impact of anthropogenic warming on the frequency of intense Atlantic hurricanes. Science, 327, 454-458.
4. Bengtsson, L., K. I. Hodges, M. Esch, N. Keenlyside, L. Kornblueh, J.-J. Luo, and T. Yamagata, 2007: How may tropical cyclones change in a warmer climate?. Tellus, 59A, 539-561.
5. Berg, R. J., and L. A. Avila, 2011: Atlantic hurricane season of 2009. Mon. Wea. Rev., 139, 1049-1069.
6. Beven, J. L., and Coauthors, 2008: Atlantic hurricane season of 2005. Mon. Wea. Rev., 136, 1109-1173.
7. 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, doi:10.1029/2001JD000776.
8. Bowden, J. H., T. L. Otte, C. G. Nolte, and M. J. Otte, 2012: Examining interior grid nudging techniques using two-way nesting in the WRF model for regional climate modeling. J. Climate, 25, 2805-2823.
9. 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.
10. Bukovsky, M. S., and D. J. Karoly, 2009: Precipitation simulations using WRF as a nested regional climate model. J. Appl. Meteor. Climatol., 48, 2152-2159.
11. Charney, J., and Coauthors, 1979: Carbon dioxide and climate: A scientific assessment. Tech. Rep., National Academy of Sciences, Washington, D.C., 22 pp.
12. Chen, S. S., J. F. Price, W. Zhao, M. A. Donelan, andE. J. Walsh, 2007: The CBLAST-Hurricane program and the nextgeneration fully coupled atmosphere-wave-ocean models for hurricane research and prediction. Bull. Amer. Meteor. Soc., 88, 311-317.
13. Collins, W. D., and Coauthors, 2004: Description of the NCAR Community Atmosphere Model (CAM 3.0). NCAR Tech. Note NCAR/TN-4641STR, 226 pp. [Available online at http://www.cesm.ucar.edu/models/atm-cam/docs/description/description.pdf.]
14. Cordero, E. C., and P. M. de F. Forster, 2006: Stratospheric variability and trends in models used for the IPCC AR4. Atmos. Chem. Phys., 6, 5369-5380.
15. Dai, A. G., 2006: Recent climatology, variability, and trends in global surface humidity. J. Climate, 19, 3589-3606.
16. Davis, C., and Coauthors, 2008: Prediction of landfalling hurricanes with the Advanced Hurricane WRF model. Mon. Wea. Rev., 136, 1990-2005.
17. Demaria, M., and J. Kaplan, 1994: Sea surface temperature and the maximum intensity of Atlantic tropical cyclones. J. Climate, 7, 1324-1334.
18. Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585-604.
19. Emanuel, K. A., 1987: The dependence of hurricane intensity on climate. Nature, 326, 483-485.
20. Emanuel, K. A., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686-688.
21. Emanuel, K. A., R. Sundararajan, and J. Williams, 2008: Hurricanes and global warming: Results from downscaling IPCC AR4 simulations. Bull. Amer. Meteor. Soc., 89, 347-367.
22. Fierro, A. O., R. F. Rogers, F. D. Marks, and D. S. Nolan, 2009: The impact of horizontal grid spacing on the microphysical and kinematic structures of strong tropical cyclones simulated with the WRF-ARW model. Mon. Wea. Rev., 137, 3717-3747.
23. Fita, L., J. Fernández, and M. García-Díez, 2010: CLWRF: WRF modifications for regional climate simulation under future scenarios. Preprints, 11th WRF Users' Workshop, Boulder, CO, NCAR, P-26. [Available online at http://www.meteo.unican.es/files/pdfs/WRFusers_clwrf.pdf.]
24. Fovell, R. G., K. L. Corbosiero, and H.-C. Kuo, 2009: Cloud microphysics impact on hurricane track as revealed in idealized experiments. J. Atmos. Sci., 66, 1764-1778.
25. Frei, C., C. Schär, D. Lüthi, and H. C. Davies, 1998: Heavy precipitation processes in a warmer climate. Geophys. Res. Lett., 25, 1431-1434.
26. Garner, S. T., I. M. Held, T. Knutson, and J. Sirutis, 2009: The roles of wind shear and thermal stratification in past and projected changes of Atlantic tropical cyclone activity. J. Climate, 22, 4723-4734.
27. Gentry, M. S., 2007: Sensitivity of WRF simulations of Hurricane Ivan to horizontal resolution. M.S. thesis, Dept. of Marine, Earth and Atmospheric Sciences, North Carolina State University, 197 pp. [Available at http://www.lib.ncsu.edu/resolver/1840.16/956.]
28. Gentry, M. S., and G. M. Lackmann, 2008: High-resolution WRF simulations of an Atlantic hurricane season. Preprints, 28th Conf. on Hurricanes and Tropical Meteorology, Orlando, FL, Amer. Meteor. Soc., 6B.5. [Available online at http://ams.confex.com/ams/pdfpapers/137845.pdf.]
29. Gentry, M. S., and G. M. Lackmann, 2010: Sensitivity of simulated tropical cyclone structure and intensity to horizontal resolution. Mon. Wea. Rev., 138, 688-704.
30. Grossmann, I., and M. G. Morgan, 2011: Tropical cyclones, climate change, and scientific uncertainty:What do we know, what does it mean, and what should be done?. Climatic Change, 108, 543-579.
31. Gualdi, S., E. Scoccimarro, and A. Navarra, 2008: Changes in tropical cyclone activity due to global warming: Results from a high-resolution coupled general circulation model. J. Climate, 21, 5204-5228.
32. Han, J., and H.-L. Pan, 2006: Sensitivity of hurricane intensity forecast to convective momentum transport parameterization. Mon. Wea. Rev., 134, 664-674.
33. Hara, M., T. Yoshikane, H. Kawase, and F. Kimura, 2008: Estimation of the impact of global warming on snow depth in Japan by the pseudo-global-warming method. Hydrol. Res. Lett., 2, 61-64.
34. Held, I. M., and B. J. Soden, 2000: Water vapor feedback and global warming. Annu. Rev. Energy Environ., 25, 441-475.
35. Held, I. M., and B. J. Soden, 2006: Robust responses of the hydrological cycle to global warming. J. Climate, 19, 5686-5699.
36. 2 with fixed sea surface temperatures. J. Climate, 24, 5353-5364.
37. Henderson-Sellers, A., and Coauthors, 1998: Tropical cyclones and global climate change: A post-IPCC assessment. Bull. Amer. Meteor. Soc., 79, 19-38.
38. Hill, K. A., and G. M. Lackmann, 2009: Analysis of idealized tropical cyclone simulations using the Weather Research and Forecasting model: Sensitivity to turbulence parameterization and grid spacing. Mon. Wea. Rev., 137, 745-765.
39. Hill, K. A., and G. M. Lackmann, 2011: The impact of future climate change on TC intensity and structure. J. Climate, 24, 4644-4661.
40. Hill, K. A., and G. M. Lackmann, and A. Aiyyer, 2008: Model simulated changes in maximum TC intensity due to global warming. Preprints, 28th Conf. on Hurricanes and Tropical Meteorology, Orlando, FL, Amer. Meteor. Soc., 7B.5. [Available online at http://ams.confex.com/ams/pdfpapers/138181.pdf.]
41. Hong, S.-Y., and J. O. J. Lim, 2006: The WRF single moment 6-class microphysics scheme (WSM6). J. Korean Meteor. Soc., 42, 129-151.
42. Hong, S.-Y., Y. Noh, and J. Dudhia, 2006: A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Wea. Rev., 134, 2318-2341.
43. Im, E. S., E. Coppola, F. Giiorgi, and X. Bi, 2010: Local effects of climate change over the Alpine region: A study with a high resolution regional climate model with a surrogate climate change scenario. Geophys. Res. Lett., 37, L05704, doi:10.1029/2009GL041801.
44. Inness, P. M., and D. Gregory, 1997: Aspects of the intraseasonal oscillation simulated by the Hadley Centre Atmospheric Model. Climate Dyn., 13, 441-458.
45. Janjić, Z. I., 1994: The step-mountain Eta coordinate model: Further development of the convection, viscous sublayer and turbulent closure schemes. Mon. Wea. Rev., 122, 927-945.
46. Janjić, Z. I., 2002: Nonsingular implementation of the Mellor-Yamada level 2.5 scheme in the NCEP meso model. NCEP Office Note 437, 61 pp. [Available online at http://www.emc.ncep.noaa.gov/officenotes/newernotes/on437.pdf.]
47. Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. Cumulus Parameterization, Meteor. Monogr., No. 46, Amer. Meteor. Soc., 165-170.
48. Kimura, F., and A. Kitoh, 2007: Downscaling by pseudo global warming method. ICCAP Final Rep., Research Institute for Humanity and Nature, Kyoto, Japan, 43-46.
49. Klotzbach, P. J., and W. M. Gray, 2003: Forecasting September Atlantic basin tropical cyclone activity. Wea. Forecasting, 18, 1109-1128.
50. 2-induced warming as simulated using the GFDL hurricane prediction system. Climate Dyn., 15, 503-519.
51. 2-induced warming on simulated hurricane intensity and precipitation: Sensitivity to the choice of climate model and convective parameterization. J. Climate, 17, 3477-3495.
52. 2-induced warming on hurricane intensities as simulated in a hurricane model with ocean coupling. J. Climate, 14, 2458-2468.
53. Knutson, T. R., J. J. Sirutis, S. T. Garner, I. M. Held, and R. E. Tuleya, 2007: Simulation of the recent multidecadal increase of Atlantic hurricane activity using an 18-km-grid regional model. Bull. Amer. Meteor. Soc., 88, 1549-1565.
54. Knutson, T. R., and Coauthors, 2010: Tropical cyclones and climate change. Nat. Geosci., 3, 157-163.
55. Kossin, J. P., S. J. Camargo, and M. Sitkowski, 2010: Climate modulation of North Atlantic hurricane tracks. J. Climate, 23, 3057-3076.
56. Landsea, C. W., 1993: A climatology of intense (or major) Atlantic hurricanes. Mon. Wea. Rev., 121, 1703-1713.
57. Lavendar, S. L., and K. J. K. Walsh, 2011: Dynamically downscaled simulations ofAustralian region tropical cyclones in current and future climates. Geophys. Res. Lett., 38, L10705, doi:10.1029/2011GL047499.
58. Li, X., and Z. Pu, 2008: Sensitivity of numerical simulation of early rapid intensification of Hurricane Emily (2005) to cloud microphysical and planetary boundary layer parameterizations. Mon. Wea. Rev., 136, 4819-4838.
59. Lynn, B. H., R. Healy, and L. M. Druyan, 2009: Investigation of Hurricane Katrina characteristics for future, warmer climates. Climate Res., 39, 75-86.
60. Mallard, M. S., 2011: Atlantic hurricanes and climate change. Ph. D. dissertation, Dept. of Marine, Earth and Atmospheric Sciences, North Carolina State University, 184 pp. [Available online at http://www.lib.ncsu.edu/resolver/1840.16/7184.]
61. Mallard, M. S., G. M. Lackmann, and A. Aiyyer, 2013: Atlantic hurricanes and climate change. Part II: Role of thermodynamic changes in decreased hurricane frequency. J. Climate, in press.
62. Manganello, J. V., and Coauthors, 2012: Tropical cyclone climatology in a 10-km global atmospheric GCM: Toward weatherresolving climate modeling. J. Climate, 25, 3867-3893.
63. 2 climate sensitivity and model dependence of results. Quart. J. Roy. Meteor. Soc., 113, 293-322.
64. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of oneand two-moment schemes. Mon. Wea. Rev., 137, 991-1007.
65. Murakami, H., and Coauthors, 2012: Future changes in tropical cyclone activity projected by the new high-resolution MRIAGCM. J. Climate, 25, 3237-3260.
66. Nakicenovic, N., and R. Swart, Eds., 2000: Emission scenarios. Special Report on Emissions Scenarios, Cambridge University Press, 239-292.
67. Nolan, D. S., and E. D. Rappin, 2008: Increased sensitivity of tropical cyclogenesis to wind shear in higher SST environments. Geophys. Res. Lett., 35, L14805, doi:10.1029/2008GL034147.
68. Nolan, D. S., J. A. Zhang, and D. P. Stern, 2009a: Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part I: Initialization, maximum winds, and the outer-core boundary layer. Mon. Wea. Rev., 137, 3651-3674.
69. Nolan, D. S., D. P. Stern, and J. A. Zhang, 2009b: Evaluation of planetary boundary layer parameterizations in tropical cyclones by comparison of in situ observations and high-resolution simulations of Hurricane Isabel (2003). Part II: Inner-core boundary layer and eyewall structure. Mon. Wea. Rev., 137, 3675-3698.
70. Oouchi, K., J. Yoshimura, H. Yoshimura, R. Mizuta, and A. Noda, 2006: Tropical cyclone climatology in a global-warming climate as simulated in a 20 km-mesh global atmospheric model: Frequency and wind intensity analyses. J. Meteor. Soc. Japan, 84, 259-276.
71. Ooyama, K. V., 1982: Conceptual evolution of the theory and modeling of the tropical cyclone. J. Meteor. Soc. Japan, 60, 369-379.
72. Pollard, R. T., P. B. Rhines, and R. O. R. Y. Thompson, 1973: The deepening of the wind-mixed layer. Geophys. Fluid Dyn., 3, 381-404.
73. Rappin, E. D., D. S. Nolan, and K. A. Emanuel, 2010: Thermodynamic control of tropical cyclogenesis in environments of radiative-convective equilibrium with shear. Quart. J. Roy. Meteor. Soc., 136, 1954-1971.
74. Reichler, T., and J. Kim, 2008: How well do coupled models simulate today's climate? Bull. Amer. Meteor. Soc., 89, 303-311.
75. Richter, J. H., and P. J. Rasch, 2008: Effects of convective momentumtransport on the atmospheric circulation in the Community Atmosphere Model, version 3. J. Climate, 21, 1487-1499.
76. Rotunno, R., and K. A. Emanuel, 1987: An air-sea interaction theory for tropical cyclones. Part II: Evolutionary study using a nonhydrostatic axisymmetric numerical model. J. Atmos. Sci., 44, 542-561.
77. Santer, B. D., and Coauthors, 2003: Behavior of tropopause height and atmospheric temperature in models, reanalyses, and observations: Decadal changes. J. Geophys. Res., 108, 4002, doi:10.1029/2002JD002258.
78. Schär, C., C. Frei, D. Lüthi, and H. C. Davies, 1996: Surrogate climate-change scenarios for regional climate models. Geophys. Res. Lett., 38, 669-672.
79. Shen, W. X., R. E. Tuleya, and I. Ginnis, 2000:Asensitivity study of the thermodynamic environment on GFDL model hurricane intensity: Implications for global warming. J. Climate, 13, 109-121.
80. Skamarock, W. C., and Coauthors, 2008: A description of the Advanced Research WRF version 3. NCAR Tech. Note NCAR/TN-4751STR, 113 pp. [Available online at http://www.mmm.ucar.edu/wrf/users/docs/arw_v3.pdf.]
81. Soden, B. J., and I. M. Held, 2006: An assessment of climate feedbacks in coupled ocean-atmosphere models. J. Climate, 19, 3354-3360.
82. Soden, B. J., R. T. Wetherald, G. L. Stenchikov, and A. Robock, 2002: Global cooling after the eruption of Mount Pinatubo:Atest of climate feedback by water vapor. Science, 296, 727-730.
83. Sugi, M., A. Noda, and N. Sato, 2002: Influence of global warming on tropical cyclone climatology: An experiment with the JMA global model. J. Meteor. Soc. Japan, 80, 249-272.
84. Sugi, M., H. Murakami, and J. Yoshimura, 2009: A reduction in global tropical cyclone frequency due to global warming. SOLA, 5, 164-167.
85. Swanson, K. L., 2008: Nonlocality of Atlantic tropical cyclone intensities. Geochem. Geophys. Geosyst., 99, Q04V01, doi:10.1029/2007GC001844.
86. Talgo, K., 2009: Tropical Atlantic vertical wind shear variability in a future climate. M.S. thesis, Dept. of Marine, Earth and Atmospheric Sciences, North Carolina State University, 109 pp. [Available online at http://repository.lib.ncsu.edu/ir/handle/1840.16/2888.]
87. Thiébaux, J., E. Rogers, W. Wang, and B. Katz, 2003: A new highresolution blended real-time global sea surface temperature analysis. Bull. Amer. Meteor. Soc., 84, 645-656.
88. Trenberth, K. E., J. Fasullo, and L. Smith, 2005: Trends and variability in column integrated atmospheric water vapor. Climate Dyn., 24, 741-758.
89. Vecchi, G. A., and B. J. Soden, 2007: Increased tropical Atlantic wind shear in model projections of global warming. Geophys. Res. Lett., 34, L08702, doi:10.1029/2006GL028905.
90. Vitart, F., J. L. Anderson, and W. F. Stern, 1997: Simulation of interannual variability of tropical storm frequency in an ensemble of GCM integrations. J. Climate, 10, 745-760.
91. Vitart, F., D. Anderson, and T. Stockdale, 2003: Seasonal forecasting of tropical cyclone landfall over Mozambique. J. Climate, 16, 3932-3945.
92. Walsh, K. J. E., M. Fiorino, C. W. Landsea, and K. L. McInnes, 2007: Objectively determined resolution-dependent threshold criteria for the detection of tropical cyclones in climate models and reanalyses. J. Climate, 20, 2307-2314.
93. Wu, C.-C., C.-Y. Lee, and I.-I. Lin, 2007: The effect of the ocean eddy on tropical cyclone intensity. J. Atmos. Sci., 64, 3562-3578.
94. Zhao, M., I. M. Held, S. J. Lin, and G. A. Vecchi, 2009: Simulations of global hurricane climatology, interannual variability, and response to global warming using a 50-km resolution GCM. J. Climate, 22, 6653-6678.