A multidecadal simulation of Atlantic tropical cyclones using a variable-resolution global atmospheric general circulation model

Journal of Advances in Modeling Earth Systems

Volumn 6, Issue 3, 2015, Pages 805-828

  Zarzycki, Colin M ^a   Jablonowski, Christiane ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

general circulation models; hurricanes; tropical cyclones; variable resolution

Indexed keywords

ATMOSPHERIC PRESSURE; CLIMATOLOGY; EARTH ATMOSPHERE; HURRICANES; TROPICS;

ATMOSPHERIC GENERAL CIRCULATION MODELS; COMMUNITY ATMOSPHERE MODEL; GENERAL CIRCULATION MODEL; HORIZONTAL RESOLUTION; MULTIDECADAL SIMULATIONS; NATIONAL CENTER FOR ATMOSPHERIC RESEARCHES; TROPICAL CYCLONE; VARIABLE RESOLUTION;

STORMS;

ALGORITHM; ATMOSPHERIC MODELING; CIRCULATION MODELING; EL NINO-SOUTHERN OSCILLATION; GENERAL CIRCULATION MODEL; SPATIAL DISTRIBUTION; SPATIAL RESOLUTION; SYNOPTIC METEOROLOGY; TROPICAL CYCLONE;

ATLANTIC OCEAN; ATLANTIC OCEAN (NORTH);

EID: 84922816054     PISSN: None     EISSN: 19422466     Source Type: Journal    
DOI: 10.1002/2014MS000352     Document Type: Article

References (72)

1. Abiodun, B. J., J. M. Prusa, and, W. J. Gutowski, (2008), Implementation of a non-hydrostatic, adaptive-grid dynamics core in CAM3. Part I: Comparison of dynamics cores in aqua-planet simulations, Clim. Dyn., 31 (7-8), 795-810.
2. Anderson, B. D., S. E. Benzley, and, S. J. Owen, (2009), Automatic all quadrilateral mesh adaption through refinement and coarsening, in Proceedings of the 18th International Meshing Roundtable, edited by, B. W. Clark, pp. 557-574, Springer, Berlin.
3. Atkinson, G. D., and, C. R. Holliday, (1977), Tropical cyclone minimum sea level pressure/maximum sustained wind relationship for the western North Pacific, Mon. Weather Rev., 105 (4), 421-427.
4. Bacmeister, J. T., M. F. Wehner, R. B. Neale, A. Gettelman, C. Hannay, P. H. Lauritzen, J. M. Caron, and, J. E. Truesdale, (2014), Exploratory high-resolution climate simulations using the Community Atmosphere Model (CAM), J. Clim., 27 (9), 3073-3099, doi: 10.1175/JCLI-D-13-00387.1.
5. Bell, G. D., et al., (2000), Climate assessment for 1999, Bull. Am. Meteorol. Soc., 81, 1328-1328, doi: 10.1175/1520-0477(2000)081<1328:CAF>2.3.CO;2.
6. Bengtsson, L., K. I. Hodges, and, M. Esch, (2007), Tropical cyclones in a T159 resolution global climate model: Comparison with observations and re-analyses, Tellus, Ser. A, 59 (4), 396-416, doi: 10.1111/j.1600-0870.2007.00236.x.
7. Bruyère, C. L., G. J. Holland, and, E. Towler, (2012), Investigating the use of a genesis potential index for tropical cyclones in the north Atlantic basin, J. Clim., 25 (24), 8611-8626, doi: 10.1175/JCLI-D-11-00619.1.
8. Camargo, S., A. Sobel, A. Barnston, and, K. Emanuel, (2007), Tropical cyclone genesis potential index in climate models, Tellus, Ser. A, 59 (4), 428-443.
9. Camargo, S. J., and, S. E. Zebiak, (2002), Improving the detection and tracking of tropical cyclones in atmospheric general circulation models, Weather Forecasting, 17 (6), 1152-1162.
10. Caron, L.-P., C. G. Jones, and, K. Winger, (2011), Impact of resolution and downscaling technique in simulating recent Atlantic tropical cyclone activity, Clim. Dyn., 37 (5-6), 869-892, doi: 10.1007/s00382-010-0846-7.
11. Chauvin, F., J.-F. Royer, and, M. Déqué, (2006), Response of hurricane-type vortices to global warming as simulated by ARPEGE-Climat at high resolution, Clim. Dyn., 27 (4), 377-399, doi: 10.1007/s00382-006-0135-7.
12. Côté, J., M. Roch, A. Staniforth, and, L. Fillion, (1993), A variable-resolution semi-Lagrangian finite-element global-model of the shallow-water equations, Mon. Weather Rev., 121 (1), 231-243.
13. Craig, A. P., M. Vertenstein, and, R. Jacob, (2012), A new flexible coupler for earth system modeling developed for CCSM4 and CESM1, Int. J. High Performance Comput. Appl., 26 (1), 31-42, doi: 10.1177/1094342011428141.
14. DeMaria, M., and, J. Kaplan, (1994), Sea surface temperature and the maximum intensity of Atlantic tropical cyclones, J. Clim., 7 (9), 1324-1334, doi: 10.1175/1520-0442(1994)007<1324:SSTATM>2.0.CO;2.
15. Dennis, J. M., J. Edwards, K. J. Evans, O. Guba, P. H. Lauritzen, A. A. Mirin, A. St-Cyr, M. A. Taylor, and, P. H. Worley, (2012), CAM-SE: A scalable spectral element dynamical core for the Community Atmosphere Model, Int. J. High Performance Comput. Appl., 26 (1), 74-89, doi: 10.1177/1094342011428142.
16. Emanuel, K., (2001), Contribution of tropical cyclones to meridional heat transport by the oceans, J. Geophys. Res., 106 (D 14), 14,771-14,781.
17. Emanuel, K. A., and, D. Nolan, (2004), Tropical cyclone activity and the global climate system, Preprints, 26th Conf. on Hurricanes and Tropical Meteorology, Miami, FL, Amer. Meteor. Soc., 10A.2. [Available online at https://ams.confex.com/ams/26HURR/techprogram/paper-75463.htm ].
18. Evans, K. J., P. H. Lauritzen, S. K. Mishra, R. B. Neale, M. A. Taylor, and, J. J. Tribbia, (2013), AMIP simulation with the CAM4 spectral element dynamical core, J. Clim., 26 (3), 689-709, doi: 10.1175/JCLI-D-11-00448.1.
19. Flato, G., et al., (2013), Evaluation of climate models, in Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by, T. Stocker, et al., pp. 741-866, Cambridge Univ. Press, Cambridge, U. K.
20. Frank, W. M., (1977), The structure and energetics of the tropical cyclone I. Storm structure, Mon. Weather Rev., 105 (9), 1119-1135.
21. Garratt, J. R., (1992), The Atmospheric Boundary Layer, 316 pp., Cambridge Univ. Press, Cambridge, U. K.
22. Gates, W. L., (1992), AMIP: The Atmospheric Model Intercomparison Project, Bull. Am. Meteorol. Soc., 73, 1962-1970.
23. Giammanco, I. M., J. L. Schroeder, and, M. D. Powell, (2012), Observed characteristics of tropical cyclone vertical wind profiles, J. Wind Struct., 15, 1-22.
24. Gray, W. M., (1984), Atlantic seasonal hurricane frequency. Part I: El Niño and 30 mb Quasi-Biennial Oscillation influences, Mon. Weather Rev., 112 (9), 1649-1668, doi: 10.1175/1520-0493(1984)112<1649:ASHFPI>2.0.CO;2.
25. Guishard, M. P., J. L. Evans, and, R. E. Hart, (2009), Atlantic subtropical storms. Part II: Climatology, J. Clim., 22 (13), 3574-3594.
26. Hamilton, K., (2008), Numerical resolution and modeling of the global atmospheric circulation: A review of our current understanding and outstanding issues, in High Resolution Numerical Modelling of the Atmosphere and Ocean, edited by, K. Hamilton, and, W. Ohfuchi, pp. 7-27, Springer, New York, doi: 10.1007/978-0-387-49791-4-1.
27. Harper, B. A., J. D. Kepert, and, J. D. Ginger, (2010), Guidelines for converting between various wind averaging periods in tropical cyclone conditions, Tech. Rep. WMO/TD-1555, World Meteorol. Organ.
28. Harr, P. A., (2010), The extratropical transition of tropical cyclones: Structural characteristics, downstream impacts, and forecast challenges, in Global Perspectives on Tropical Cyclones: From Science to Mitigation, vol. 4, edited by, J. C. L. Chan, and, J. D. Kepert, p. 436, World Sci, Singapore.
29. Harris, L. M., and, S.-J. Lin, (2013), A two-way nested global-regional dynamical core on the cubed-sphere grid, Mon. Weather Rev., 141 (1), 283-306.
30. Hart, R. E., (2011), An inverse relationship between aggregate northern hemisphere tropical cyclone activity and subsequent winter climate, Geophys. Res. Lett., 38, L01705, doi: 10.1029/2010GL045612.
31. Hazelton, A. T., and, R. E. Hart, (2012), Hurricane eyewall slope as determined from airborne radar reflectivity data: Composites and case studies, Weather Forecasting, 28 (2), 368-386, doi: 10.1175/WAF-D-12-00037.1.
32. Hendricks, E. A., M. T. Montgomery, and, C. A. Davis, (2004), The role of "vortical" hot towers in the formation of tropical cyclone Diana (1984), J. Atmos. Sci., 61 (11), 1209-1232, doi: 10.1175/1520-0469(2004)061<1209:TROVHT>2.0.CO;2.
33. Holopainen, E. O., (1967), On the mean meridional circulation and the flux of angular momentum over the northern hemisphere, Tellus, 19 (1), 1-13, doi: 10.1111/j.2153-3490.1967.tb01453.x.
34. Hurrell, J. W., J. J. Hack, D. Shea, J. M. Caron, and, J. Rosinski, (2008), A new sea surface temperature and sea ice boundary dataset for the Community Atmosphere Model, J. Clim., 21 (19), 5145-5153, doi: 10.1175/2008JCLI2292.1.
35. Kalnay, E., et al., (1996), The NCEP/NCAR 40-year reanalysis project, Bull. Am. Meteorol. Soc., 77 (3), 437-471, doi: 10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2.
36. Knaff, J. A., and, R. M. Zehr, (2007), Reexamination of tropical cyclone wind-pressure relationships, Weather Forecasting, 22 (1), 71-88, doi: 10.1175/WAF965.1.
37. Knapp, K. R., M. C. Kruk, D. H. Levinson, H. J. Diamond, and, C. J. Neumann, (2010), The international best track archive for climate stewardship (IBTrACS), Bull. Am. Meteorol. Soc., 91 (3), 363-376, doi: 10.1175/2009BAMS2755.1.
38. 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. Am. Meteorol. Soc., 88, 1549, doi: 10.1175/BAMS-88-10-1549.
39. Landsea, C. W., G. A. Vecchi, L. Bengtsson, and, T. R. Knutson, (2009), Impact of duration thresholds on Atlantic tropical cyclone counts, J. Clim., 23 (10), 2508-2519, doi: 10.1175/2009JCLI3034.1.
40. LaRow, T. E., Y.-K. Lim, D. W. Shin, E. P. Chassignet, and, S. Cocke, (2008), Atlantic basin seasonal hurricane simulations, J. Clim., 21 (13), 3191-3206, doi: 10.1175/2007JCLI2036.1.
41. Lauritzen, P. H., J. Bacmeister, M. A. Taylor, and, R. B. Neale, (2012), New CAM (NSF-DOE Community Atmosphere Model) topography generation software: CAM5.2, Abstract A53C-0157 presented at 2012 Fall Meeting, AGU, San Francisco, Calif., 3-7 Dec.
42. Lauritzen, P. H., J. T. Bacmeister, T. Dubos, S. Lebonnois, and, M. A. Taylor, (2014), Held-Suarez simulations with the Community Atmosphere Model Spectral Element (CAM-SE) dynamical core: A global axial angular momentum analysis using Eulerian and floating Lagrangian vertical coordinates, J. Adv. Model. Earth Syst., 6, 129-140, doi: 10.1002/2013MS000268.
43. Manganello, J. V., et al., (2012), Tropical cyclone climatology in a 10-km global atmospheric GCM: Toward weather-resolving climate modeling, J. Clim., 25 (11), 3867-3893, doi: 10.1175/JCLI-D-11-00346.1.
44. Mendelsohn, R., K. Emanuel, S. Chonabayashi, and, L. Bakkensen, (2012), The impact of climate change on global tropical cyclone damage, Nat. Clim. Change, 2 (3), 205-209.
45. Mesinger, F., and, K. Veljovic, (2013), Limited area NWP and regional climate modeling: A test of the relaxation vs Eta lateral boundary conditions, Meteorol. Atmos. Phys., 119 (1-2), 1-16, doi: 10.1007/s00703-012-0217-5.
46. Murakami, H., et al., (2012), Future changes in tropical cyclone activity projected by the new high-resolution MRI-AGCM, J. Clim., 25 (9), 3237-3260, doi: 10.1175/JCLI-D-11-00415.1.
47. Neale, R. B., et al., (2010), Description of the NCAR Community Atmosphere Model (CAM 5.0), NCAR Technical Note NCAR/TN-486+STR, Natl. Cent. for Atmos. Res., Boulder, Colo.
48. Oouchi, K., J. Yoshimura, H. Yoshimura, R. Mizuta, S. Kusunoki, 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. Meteorol. Soc. Jpn., 84 (2), 259-276.
49. Peixoto, J. P., and, A. H. Oort, (1992), Physics of Climate, 520 pp., Am. Inst. of Phys., New York.
50. Persing, J., M. T. Montgomery, J. C. McWilliams, and, R. K. Smith, (2013), Asymmetric and axisymmetric dynamics of tropical cyclones, Atmos. Chem. Phys. Discuss., 13 (5), 13,323-13,438, doi: 10.5194/acpd-13-13323-2013.
51. Price, J. F., (1981), Upper ocean response to a hurricane, J. Phys. Oceanogr., 11 (2), 153-175.
52. Reed, K. A., C. Jablonowski, and, M. A. Taylor, (2012), Tropical cyclones in the spectral element configuration of the Community Atmosphere Model, Atmos. Sci. Lett., 13 (4), 303-310.
53. Ringler, T., L. Ju, and, M. Gunzburger, (2008), A multiresolution method for climate system modeling: Application of spherical centroidal Voronoi tessellations, Ocean Dyn., 58, 475-498.
54. Satoh, M., et al., (2012), The intra-seasonal oscillation and its control of tropical cyclones simulated by high-resolution global atmospheric models, Clim. Dyn., 39 (9-10), 2185-2206, doi: 10.1007/s00382-011-1235-6.
55. Simpson, R. H., (1974), The hurricane disaster-Potential scale, Weatherwise, 27 (4), 169-186, doi: 10.1080/00431672.1974.9931702.
56. Skamarock, W. C., J. B. Klemp, M. G. Duda, L. D. Fowler, S.-H. Park, and, T. D. Ringler, (2012), A multiscale nonhydrostatic atmospheric model using centroidal Voronoi tesselations and C-grid staggering, Mon. Weather Rev., 140 (9), 3090-3105, doi: 10.1175/MWR-D-11-00215.1.
57. 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. Clim., 26 (1), 133-152, doi: 10.1175/JCLI-D-12-00012.1.
58. Strazzo, S., J. B. Elsner, T. LaRow, D. J. Halperin, and, M. Zhao, (2013), Observed versus GCM-generated local tropical cyclone frequency: Comparisons using a spatial lattice, J. Clim., 26 (21), 8257-8268, doi: 10.1175/JCLI-D-12-00808.1.
59. Taylor, M., J. Tribbia, and, M. Iskandarani, (1997), The spectral element method for the shallow water equations on the sphere, J. Comput. Phys., 130, 92-108.
60. Taylor, M. A., (2011), Conservation of mass and energy for the moist atmospheric primitive equations on unstructured grids, in Numerical Techniques for Global Atmospheric Models, Lecture Notes in Computational Science and Engineering, vol. 80, edited by, P. H. Lauritzen, et al., pp. 357-380, Springer, Berlin, Germany.
61. Taylor, M. A., and, A. Fournier, (2010), A compatible and conservative spectral element method on unstructured grids, J. Comput. Phys., 229 (17), 5879-5895.
62. Tomita, H., (2008), A stretched icosahedral grid by a new grid transformation, J. Meteorol. Soc. Jpn., 86 (0), 107-119.
63. 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. Clim., 10 (4), 745-760.
64. Walko, R. L., and, R. Avissar, (2011), A direct method for constructing refined regions in unstructured conforming triangular-hexagonal computational grids: Application to OLAM, Mon. Weather Rev., 139 (12), 3923-3937, doi: 10.1175/MWR-D-11-00021.1.
65. Walsh, K., S. Lavender, E. Scoccimarro, and, H. Murakami, (2013), Resolution dependence of tropical cyclone formation in CMIP3 and finer resolution models, Clim. Dyn., 40 (3-4), 585-599, doi: 10.1007/s00382-012-1298-z.
66. Warner, T. T., R. A. Peterson, and, R. E. Treadon, (1997), A tutorial on lateral boundary conditions as a basic and potentially serious limitation to regional numerical weather prediction, Bull. Am. Meteorol. Soc., 78 (11), 2599-2617.
67. Wieringa, J., (1992), Updating the Davenport roughness classification, J. Wind Eng. Ind. Aerodyn., 41 (1-3), 357-368, doi: 10.1016/0167-6105(92)90434-C.
68. Williamson, D. L., (2013), The effect of time steps and time-scales on parametrization suites, Q. J. R. Meteorol. Soc., 139 (671), 548-560, doi: 10.1002/qj.1992.
69. Zarzycki, C. M., C. Jablonowski, and, M. A. Taylor, (2014a), Using variable resolution meshes to model tropical cyclones in the Community Atmosphere Model, Mon. Weather Rev., 142 (3), 1221-1239, doi: 10.1175/MWR-D-13-00179.1.
70. Zarzycki, C. M., M. N. Levy, C. Jablonowski, J. R. Overfelt, M. A. Taylor, and, P. A. Ullrich, (2014b), Aquaplanet experiments using CAM's variable-resolution dynamical core, J. Clim., 27 (14), 5481-5503, doi: 10.1175/JCLI-D-14-00004.1.
71. 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. Clim., 22 (24), 6653-6678.
72. Zhao, M., I. M. Held, and, S.-J. Lin, (2012), Some counterintuitive dependencies of tropical cyclone frequency on parameters in a GCM, J. Atmos. Sci., 69 (7), 2272-2283, doi: 10.1175/JAS-D-11-0238.1.