Future changes in the western North Pacific tropical cyclone activity projected by a multidecadal simulation with a 16-km global atmospheric GCM

Journal of Climate

Volumn 27, Issue 20, 2014, Pages 7622-7646

  Manganello, Julia V ^a   Hodges, Kevin I ^b   Dirmeyer, Brandt ^a   Kinter, James L ^a   Cash, Benjamin A ^a   Marx, Lawrence ^a   Jung, Thomas ^c   Achuthavarier, Deepthi ^a,d   Adams, Jennifer M ^a   Altshuler, Eric L ^a   Huang, Bohua ^a   Jin, Emilia K ^e   Towers, Peter ^f   Wedi, Nils ^f  

^a CENTER FOR OCEAN LAND ATMOSPHERE STUDIES   (United States)

^b UNIVERSITY OF READING   (United Kingdom)

^c ALFRED WEGENER INSTITUTE FOR POLAR AND MARINE RESEARCH   (Germany)

^d UNIVERSITIES SPACE RESEARCH ASSOCIATION   (United States)

^e Korea Institute of Atmospheric Prediction Systems   (South Korea)

^f EUROPEAN CENTRE FOR MEDIUM RANGE WEATHER FORECASTS   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIDECADAL SIMULATIONS; TROPICAL CYCLONE ACTIVITY; WESTERN NORTH PACIFIC;

ATMOSPHERIC GENERAL CIRCULATION MODEL; CLIMATOLOGY; EL NINO-SOUTHERN OSCILLATION; TROPICAL CYCLONE; WEATHER FORECASTING;

PACIFIC OCEAN; PACIFIC OCEAN (EQUATORIAL); PACIFIC OCEAN (NORTHWEST);

EID: 84907835055     PISSN: 08948755     EISSN: None     Source Type: Journal    
DOI: 10.1175/JCLI-D-13-00678.1     Document Type: Article

References (77)

1. Bell, R., J. Strachan, P. L. Vidale, K. Hodges, and M. Roberts, 2013: Response of tropical cyclones to idealized climate change experiments in a global high-resolution coupled general circulation model. J. Climate, 26, 7966-7980, doi:10.1175/ JCLI-D-12-00749.1.
2. 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. Nature, 327, 454-458, doi:10.1126/science.1180568.
3. Bengtsson, L., M. Botzet, and M. Esch, 1996: Will greenhouse gas- induced warming over the next 50 years lead to higher frequency and greater intensity of hurricanes? Tellus, 48A, 57- 73, doi:10.1034/j.1600-0870.1996.00004.x.
4. Bengtsson, L., M. Botzet, and M. Esch, K. I. Hodges, and E. Roeckner, 2006: Storm tracks and climate change. J. Climate, 19, 3518-3543, doi:10.1175/ JCLI3815.1.
5. Bengtsson, L., M. Botzet, and M. Esch, and M. Esch, 2007a: Tropical cyclones in a T159 resolution global climate model: Comparison with observations and re-analyses. Tellus, 59A, 396-416, doi:10.1111/ j.1600-0870.2007.00236.x.
6. Bengtsson, L., M. Botzet, and M. Esch, N. Keenlyside, L. Kornblueh, J.-J. Luo, and T. Yamagata, 2007b: How may tropical cyclones change in a warmer climate? Tellus, 59A, 539-561, doi:10.1111/ j.1600-0870.2007.00251.x.
7. Camargo, S. J., and A. H. Sobel, 2005: Western North Pacific tropical cyclone intensity and ENSO. J. Climate, 18, 2996- 3006, doi:10.1175/JCLI3457.1.
8. Camargo, S. J., and A. H. Sobel, K. A. Emanuel, and A. H. Sobel, 2007: Use of a genesis potential index to diagnose ENSO effects on tropical cyclone genesis. J. Climate, 20, 4819-4834, doi:10.1175/JCLI4282.1.
9. Chan, J. C. L., and K. S. Liu, 2004: Global warming and western North Pacific typhoon activity from an observational perspective. J. Climate, 17, 4590-4602, doi:10.1175/3240.1.
10. Chia, H. H., and C. F. Ropelewski, 2002: The interannual variability in the genesis location of tropical cyclones in the northwest Pacific. J. Climate, 15, 2934-2944, doi:10.1175/ 1520-0442(2002)015,2934:TIVITG.2.0.CO;2.
11. Emanuel, K. A., 2000: A statistical analysis of tropical cyclone intensity. Mon. Wea. Rev., 128, 1139-1152, doi:10.1175/ 1520-0493(2000)128,1139:ASAOTC.2.0.CO;2.
12. Emanuel, K. A., 2005: Increasing destructiveness of tropical cyclones over the past 30 years. Nature, 436, 686-688, doi:10.1038/ nature03906.
13. Emanuel, K. A., 2007: Environmental factors affecting tropical cyclone power dissipation. J. Climate, 20, 5497-5509, doi:10.1175/ 2007JCLI1571.1.
14. 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, doi:10.1175/ BAMS-89-3-347.
15. 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, 3717-3743, doi:10.1175/2009MWR2946.1.
16. Gates, W. L., 1992: AMIP: The Atmospheric Model Intercomparison Project. Bull. Amer. Meteor. Soc., 73, 1962-1970, doi:10.1175/1520-0477(1992)073,1962:ATAMIP.2.0.CO;2.
17. 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, doi:10.1175/2009MWR2976.1.
18. Gopalakrishnan, S. G., F. Marks, X. Zhang, J.-W. Bao, K.-S. Yeh, and R. Atlas, 2011: The experimental HWRF system: A study on the influence of horizontal resolution on the structure and intensity changes in tropical cyclones using an idealized framework. Mon. Wea. Rev., 139, 1762-1784, doi:10.1175/ 2010MWR3535.1.
19. Guilyardi, E., 2006: El Niño-mean state-seasonal cycle interactions in a multi-model ensemble. Climate Dyn., 26, 329- 348, doi:10.1007/s00382-005-0084-6.
20. Harper, B. A., J. D. Kepert, and J. D. Ginger, 2009: Guidelines for converting between various wind averaging periods in tropical cyclone conditions. WorldMeteorologicalOrganization, TCMVI/ Doc. 2.3, 62 pp. [Available online at https://www.wmo.int/ pages/prog/www/tcp/documents/Doc2.3_WindAveraging.pdf.]
21. Hawkins, H. F., and S. M. Imbembo, 1976: The structure of a small, intense hurricane-Inez 1966. Mon. Wea. Rev., 104, 418-442, doi:10.1175/1520-0493(1976)104,0418:TSOASI.2.0.CO;2.
22. Hendricks, E. A., M. S. Peng, B. Fu, and T. Li, 2010: Quantifying environmental control on tropical cyclone intensity change. Mon.Wea. Rev., 138, 3243-3271, doi:10.1175/2010MWR3185.1.
23. Hill, K. A., and G. M. Lackmann, 2011: The impact of future climate change on TC intensity and structure: A downscaling approach. J. Climate, 24, 4644-4661, doi:10.1175/ 2011JCLI3761.1.
24. Hodges, K. I., 1994: A general method for tracking analysis and its application to meteorological data. Mon. Wea. Rev., 122, 2573-2586, doi:10.1175/1520-0493(1994)122,2573: AGMFTA.2.0.CO;2.
25. Hodges, K. I., 1995: Feature tracking on the unit sphere. Mon. Wea. Rev., 123, 3458-3465, doi:10.1175/1520-0493(1995)123,3458: FTOTUS.2.0.CO;2.
26. Hodges, K. I., 1999: Adaptive constraints for feature tracking. Mon. Wea. Rev., 127, 1362-1373, doi:10.1175/1520-0493(1999)127,1362: ACFFT.2.0.CO;2.
27. Hodges, K. I., 2008: Confidence intervals and significance tests for spherical data derived form feature tracking. Mon. Wea. Rev., 136, 1758-1777, doi:10.1175/2007MWR2299.1.
28. Jung, T., and , 2012: High-resolution global climate simulations with the ECMWF model in Project Athena: Experimental design, model climate, and seasonal forecast skill. J. Climate, 25, 3155-3172, doi:10.1175/JCLI-D-11-00265.1.
29. Kanada, S., A. Wada, and M. Sugi, 2013: Future changes in structures of extremely intense tropical cyclones using a 2-km mesh nonhydrostatic model. J. Climate, 26, 9986-10 005, doi:10.1175/JCLI-D-12-00477.1.
30. Kinter, J. L., and, 2013:Revolutionizing climate modeling- Project Athena: A multi-institutional, international collaboration. Bull. Amer. Meteor. Soc., 94, 231-245, doi:10.1175/ BAMS-D-11-00043.1.
31. Klotzbach, P. J., 2006: Trends in global tropical cyclone activity over the past twenty years (1986-2005). Geophys. Res. Lett., 33, L10805, doi:10.1029/2006GL025881.
32. Knapp, K. R., and M. C. Kruk, 2010: Quantifying interagency differences in tropical cyclone best-track wind speed estimates. Mon. Wea. Rev., 138, 1459-1473, doi:10.1175/ 2009MWR3123.1.
33. Knapp, K. R., and M. C. Kruk, D. H. Levinson, H. J. Diamond, and C. J. Neumann, 2010: The International Best Track Archive for Climate Stewardship (IBTrACS). Bull. Amer. Meteor. Soc., 91, 363- 376, doi:10.1175/2009BAMS2755.1.
34. Knapp, K. R., and M. C. Kruk,J.A. Knaff, C. R. Sampson,G.M. Riggio, and A. D. Schnapp, 2013: A pressure-based analysis of the historical western North Pacific tropical cyclone intensity record. Mon. Wea. Rev., 141, 2611-2631, doi:10.1175/MWR-D-12-00323.1.
35. Knutson, T. R., and R. E. Tuleya, 1999: Increased hurricane intensities with CO2-induced warming as simulated using the GFDL hurricane prediction system. Climate Dyn., 15, 503- 519, doi:10.1007/s003820050296.
36. Knutson, T. R., and R. E. Tuleya, 2004: Impact of CO2-induced warming on simulated hurricane intensity and precipitation: Sensitivity to the choice of climate model and convective parameterization. J. Climate, 17, 3477-3495, doi:10.1175/1520-0442(2004)017,3477: IOCWOS.2.0.CO;2.
37. Knutson, T. R., and R. E. Tuleya, W. Shen, and I. Ginis, 2001: Impact of CO2-induced warming on hurricane intensities as simulated in a hurricane model with ocean coupling. J. Climate, 14, 2458-2468, doi:10.1175/1520-0442(2001)014,2458:IOCIWO.2.0.CO;2.
38. Knutson, T. R., and R. E. Tuleya, and , 2010: Tropical cyclones and climate change. Nat. Geosci., 3, 157-163, doi:10.1038/ngeo779.
39. Kossin, J. P., and S. Camargo, 2009: Hurricane track variability and secular potential intensity trends. Climatic Change, 97, 329- 337, doi:10.1007/s10584-009-9748-2.
40. Kossin, J. P., and S. Camargo, K. R. Knapp, D. J. Vimont, R. J. Murnane, and B. A. Harper, 2007: A globally consistent reanalysis of hurricane variability and trends. Geophys. Res. Lett., 34, L04815, doi:10.1029/ 2006GL028836.
41. Landsea, C. W., 1993: A climatology of intense (or major) Atlantic hurricanes. Mon. Wea. Rev., 121, 1703-1713, doi:10.1175/ 1520-0493(1993)121,1703:ACOIMA.2.0.CO;2.
42. Lee, T.-C., T. R. Knutson, H. Kamahori, and M. Ying, 2012: Impacts of climate change on tropical cyclones in the western North Pacific basin. Part I: Past observations. Trop. Cyclone Res. Rev., 1, 213-230, doi:10.6057/2012TCRR02.08.
43. Li, T., M. Kwon, M. Zhao, J.-S. Kug, J.-J. Luo, and W. Yu, 2010: Global warming shifts Pacific tropical cyclone location. Geophys. Res. Lett., 37, L21804, doi:10.1029/2010GL045124.
44. Li, T., M. Kwon, M. Zhao, J.-S. Kug, J.-J. Luo, and W. Yu, X. Ge, M. Peng, and W. Wang, 2012: Dependence of tropical cyclone intensification on the Coriolis parameter. Trop. Cyclone Res. Rev., 1, 242-253, doi:10.6057/2012TCRR02.04.
45. Manganello, J. V., and , 2012: Tropical cyclone climatology in a 10-km global atmospheric GCM: Toward weatherresolving climate modeling. J. Climate, 25, 3867-3893, doi:10.1175/JCLI-D-11-00346.1.
46. Murakami, H., and M. Sugi, 2010: Effect of model resolution on tropical cyclone climate projections. SOLA, 6, 73-76, doi:10.2151/sola.2010-019.
47. Murakami, H., and M. Sugi, B. Wang, and A. Kitoh, 2011: Future change of western North Pacific typhoons: Projections by a 20-km-mesh global atmospheric model. J. Climate, 24, 1154-1169, doi:10.1175/ 2010JCLI3723.1.
48. Murakami, H., and M. Sugi, R. Mizuta, and E. Shindo, 2012a: Future changes in tropical cyclone activity projected by multi-physics and multi-SST ensemble experiments using the 60-km-mesh MRI-AGCM. Climate Dyn., 39, 2569-2584, doi:10.1007/s00382-011-1223-x.
49. Murakami, H., and M. Sugi, and , 2012b: Future changes in tropical cyclone activity projected by the new high-resolution MRI-AGCM. J. Climate, 25, 3237-3260, doi:10.1175/JCLI-D-11-00415.1.
50. Nolan, D. S., E. D. Rappin, and K. A. Emanuel, 2007: Tropical cyclogenesis sensitivity to environmental parameters in radiative-convective equilibrium. Quart. J. Roy. Meteor. Soc., 133, 2085-2107, doi:10.1002/qj.170.
51. Persing, J., and M. T. Montgomery, 2005: Is environmental CAPE important in the determination ofmaximum possible hurricane intensity? J. Atmos. Sci., 62, 542-550, doi:10.1175/JAS-3370.1.
52. Pielke, R. A., C. Landsea, M. Mayfield, J. Laver, and R. Pasch, 2005: Hurricanes and global warming. Bull. Amer. Meteor. Soc., 86, 1571-1575, doi:10.1175/BAMS-86-11-1571.
53. Powell, M. D., P. J. Vickery, and T. A. Reinhold, 2003: Reduced drag coefficient for high wind speeds in tropical cyclones. Nature, 422, 279-283, doi:10.1038/nature01481.
54. Schade, L. R., and K. A. Emanuel, 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, doi:10.1175/1520-0469(1999)056,0642:TOSEOT.2.0.CO;2.
55. Schneider,E. K.,M. J. Fennessy, and J.L.Kinter, 2009:Astatistical- dynamical estimate of winter ENSO teleconnections in a future climate. J. Climate, 22, 6624-6638, doi:10.1175/ 2009JCLI3147.1.
56. Shen, W., R. E. Tuleya, and I. Ginis, 2000: A sensitivity study of the thermodynamic environment on GFDL model hurricane intensity: Implications for global warming. J.Climate, 13, 109-121, doi:10.1175/1520-0442(2000)013,0109:ASSOTT.2.0.CO;2.
57. Song, J.-J., Y. Wang, and L. Wu, 2010: Trend discrepancies among three best track data sets of western North Pacific tropical cyclones. J. Geophys. Res., 115, D12128, doi:10.1029/ 2009JD013058.
58. Stowasser, M., Y. Wang, and K. Hamilton, 2007: Tropical cyclone changes in the western North Pacific in a global warming scenario. J. Climate, 20, 2378-2396, doi:10.1175/JCLI4126.1.
59. Strachan, J., P. L. Vidale, K. Hodges, M. Roberts, and M.-E. Demory, 2013: Investigating global tropical cyclone activity with a hierarchy of AGCMs: The role of model resolution. J. Climate, 26, 133-152, doi:10.1175/JCLI-D-12-00012.1.
60. Trenberth, K., 2005: Uncertainty in hurricanes and global warming. Science, 308, 1753-1754, doi:10.1126/science.1112551.
61. Uppala, S. M., and , 2005: The ERA-40 Re-Analysis. Quart. J. Roy. Meteor. Soc., 131, 2961-3012, doi:10.1256/ qj.04.176.
62. Vecchi, G. A., and B. J. Soden, 2007a: Effect of remote sea surface temperature change on tropical cyclone potential intensity. Nature, 450, 1066-1070, doi:10.1038/nature06423.
63. Murakami, H., and M. Sugi, 2007b: Global warming and the weakening of the tropical circulation. J. Climate, 20, 4316-4340, doi:10.1175/ JCLI4258.1.
64. Walsh, K., 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, doi:10.1175/ JCLI4074.1.
65. Walsh, K., M. Fiorino, C. W. Landsea, and K. L. McInnes, S. Lavender, E. Scoccimarro, and H. Murakami, 2013: Resolution dependence of tropical cyclone formation in CMIP3 and finer resolution models. Climate Dyn., 40, 585-599, doi:10.1007/s00382-012-1298-z.
66. Wang, B., and J. C. L. Chan, 2002: How strong ENSO events affect tropical storm activity over the western North Pacific. J. Climate, 15, 1643-1658, doi:10.1175/1520-0442(2002)015,1643: HSEEAT.2.0.CO;2.
67. Wang, B., and J. C. L. Chan, and X. Zhou, 2008: Climate variation and prediction of rapid intensification in tropical cyclones in the western North Pacific. Meteor. Atmos. Phys., 99, 1-16, doi:10.1007/s00703-006-0238-z.
68. Wing, A. A., A. H. Sobel, and S. J. Camargo, 2007: Relationship between the potential and actual intensities of tropical cyclones on interannual time scales. Geophys. Res. Lett., 34, L08810, doi:10.1029/2006GL028581.
69. Wu, L., and B. Wang, 2004: Assessing impacts of global warming on tropical cyclone tracks. J. Climate, 17, 1686-1698, doi:10.1175/ 1520-0442(2004)017,1686:AIOGWO.2.0.CO;2.
70. Wu, L., and B. Wang, and S. A. Brown, 2008: Implications of tropical cyclone power dissipation index. Int. J. Climatol., 28, 727-731, doi:10.1002/joc.1573.
71. Yamada, Y., K. Oouchi, M. Satoh, H. Tomita, and W. Yanase, 2010: Projection of changes in tropical cyclone activity and cloud height due to greenhouse warming: Global cloud-system-resolving approach. Geophys. Res. Lett., 37, L07709, doi:10.1029/2010GL042518.
72. Ying,M., T. R. Knutson, H. Kamahori, and T.-C. Lee, 2012: Impacts of climate change on tropical cyclones in the western North Pacific basin. Part II: Late twenty-first century projections. Trop. Cyclone Res. Rev., 1, 231-241. [Available online at http:// tcrr.typhoon.gov.cn/EN/abstract/abstract59.shtml.]
73. Yuter, S. E., and R. A. Houze Jr., 1995: Three-dimensional kinematic and microphysical evolution of Florida cumulonimbus. Part II: Frequency distributions of vertical velocity, reflectivity, and differential reflectivity. Mon. Wea. Rev., 123, 1941-1963, doi:10.1175/1520-0493(1995)123,1941:TDKAME.2.0.CO;2.
74. Zeng, Z., Y. Wang, and C.-C. Wu, 2007: Environmental dynamical control of tropical cyclone intensity-An observational study. Mon. Wea. Rev., 135, 38-59, doi:10.1175/MWR3278.1.
75. Zhao, M., and I. M. Held, 2010: An analysis of the effect of global warming on the intensity of Atlantic hurricanes using a GCM with statistical refinement. J. Climate, 23, 6382-6393, doi:10.1175/2010JCLI3837.1.
76. Zhao, M., and I. M. Held,2012: TC-permittingGCMsimulations of hurricane frequency response to sea surface temperature anomalies projected for the late-twenty-first century. J. Climate, 25, 2995-3009, doi:10.1175/JCLI-D-11-00313.1.
77. Zhao, M., and 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, doi:10.1175/2009JCLI3049.1.