An analytic vortex initialization technique for idealized tropical cyclone studies in AGCMs

Monthly Weather Review

Volumn 139, Issue 2, 2011, Pages 689-710

  Reed, Kevin A ^a   Jablonowski, Christiane ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

General circulation models; Tropical cyclones; Vortices

Indexed keywords

ATMOSPHERIC GENERAL CIRCULATION MODELS; AXISYMMETRIC; COMMUNITY ATMOSPHERE MODEL; COMPUTATIONAL GRIDS; CONSTANT PARAMETERS; DYNAMICAL CORE; ENVIRONMENTAL CONDITIONS; EQUATORIAL REGIONS; EYEWALL; FINITE-VOLUME; GENERAL CIRCULATION MODEL; GLOBAL ATMOSPHERIC MODELS; GLOBAL MODELS; GRID-SPACINGS; HIGH-RESOLUTION MODELS; HORIZONTAL GRID SPACING; HORIZONTAL RESOLUTION; INITIAL CONDITIONS; INITIALIZATION TECHNIQUE; LOW LEVEL; LOW-LEVEL WINDS; MAXIMUM WIND SPEED; NATIONAL CENTER FOR ATMOSPHERIC RESEARCHES; NUMERICAL SCHEME; PARAMETERIZATIONS; PRESSURE-BASED; RAINBANDS; SEA SURFACE TEMPERATURES; SENSITIVITY STUDIES; SIMPSON; TROPICAL CYCLONE; TROPICAL CYCLONES; VELOCITY FIELD; VERTICAL COORDINATES; VERTICAL STRUCTURES; VORTICES; WIND SPEED;

ATMOSPHERIC TEMPERATURE; CLIMATOLOGY; COMPUTER SIMULATION; EXPERIMENTS; HURRICANES; MODELS; STORMS; TROPICS; WIND EFFECTS;

VORTEX FLOW;

AIR TEMPERATURE; ATMOSPHERIC GENERAL CIRCULATION MODEL; ATMOSPHERIC MOISTURE; ATMOSPHERIC PRESSURE; ATMOSPHERIC STRUCTURE; COMPUTER SIMULATION; FINITE VOLUME METHOD; PARAMETERIZATION; SEA SURFACE TEMPERATURE; TROPICAL CYCLONE; VORTICITY; WIND VELOCITY;

EID: 79951919251     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3488.1     Document Type: Article

References (41)

1. Atlas, R., and Coauthors, 2005: Hurricane forecasting with the high-resolution NASA finite volume general circulation model. Geophys. Res. Lett., 32, L03807, doi:10.1029/2004GL021513.
2. Bengtsson, L., K. I. Hodges, M. Esch, N. Keenlyside, L. Kornblueh, J. Luo, and T. Yamagata, 2007: How may tropical cyclones change in a warmer climate? Tellus, 59A, 539-561, doi:10.1111/j.1600-0870.2007.00251.x.
3. Bryan, G. H., and R. Rotunno, 2009: The influence of near-surface, high-entropy air in hurricane eyes on maximum hurricane intensity. J. Atmos. Sci., 66, 148-158.
4. Collins, W. D., and Coauthors, 2004: Description of the NCAR Community Atmosphere Model (CAM3.0). NCAR Tech. Note NCAR/TN-4641STR, National Center for Atmospheric Research, Boulder, CO, 226 pp.
5. Collins, W. D., and Coauthors, 2006: The formulation and atmospheric simulation of the Community Atmosphere Model: CAM3. J. Climate, 19, 2144-2161.
6. Emanuel, K. A., 1986: An air-sea interaction theory for tropical cyclones. Part I: Steady-state maintenance. J. Atmos. Sci., 43, 585-605.
7. Emanuel, K. A., 1989: The finite-amplitude nature of tropical cyclogenesis. J. Atmos. Sci., 46, 3431-3456.
8. Emanuel, K. A., 2003: Tropical cyclones. Annu. Rev. Earth Planet. Sci., 31, 75-104.
9. Fudeyasu, H., Y. Wang, M. Satoh, T. Nasuno, H. Miura, and W. Yanase, 2008: Global cloud-system-resolving model NICAM successfully simulated the lifecycles of two real tropical cyclones. Geophys. Res. Lett., 35, L22808, doi:10.1029/2008GL036003.
10. 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.
11. Holland, G. J., 1980: An analytic model of the wind and pressure profiles in hurricanes. Mon. Wea. Rev., 108, 1212-1218.
12. Holland, G. J., 1983: Tropical cyclone motion: Environmental interaction plus a beta effect. J. Atmos. Sci., 40, 328-342.
13. Jablonowski, C., and D. L. Williamson, 2006a: A baroclinic instability test case for atmospheric model dynamical cores. Quart. J. Roy. Meteor. Soc., 132, 2943-2975.
14. Jablonowski, C., and D. L. Williamson, 2006b: A baroclinic wave test case for dynamical cores of General Circulation Models: Model intercomparisons. NCAR Tech. Note NCAR/TN-4691STR, National Center for Atmospheric Research, Boulder, CO, 89 pp.
15. Jordan, C. L., 1958: Mean soundings for the West Indies area. J. Meteor., 15, 91-97.
16. Leslie, L. M., and G. J. Holland, 1995: On the bogussing of tropical cyclones in numerical models: A comparison of vortex profiles. Meteor. Atmos. Phys., 56, 101-110, doi:10.1007/BF01022523.
17. Lin, S.-J., 2004: A "vertically Lagrangian" finite-volume dynamical core for global models. Mon. Wea. Rev., 132, 2293-2307.
18. Lorant, V., and J. Royer, 2001: Sensitivity of equatorial convection to horizontal resolution in aquaplanet simulations with a variableresolution GCM. Mon. Wea. Rev., 129, 2730-2745.
19. Nair, R. D., and C. Jablonowski, 2008: Moving vortices on the sphere: A test case for horizontal advection problems. Mon. Wea. Rev., 136, 699-711.
20. Neale, R. B., and B. J. Hoskins, 2000: A standard test for AGCMs including their physical parametrizations. I: The proposal. Atmos. Sci. Lett., 1, 101-107, doi:10.1006/asle.2000.0019.
21. Nolan, D. S., 2007: What is the trigger for tropical cyclogenesis? Aust. Meteor. Mag., 56, 241-266.
22. 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.
23. Nolan, D. S., M. T. Montgomery, and L.D. Grasso, 2001: The wave number one instability and trochoidalmotion of hurricane-like vortices. J. Atmos. Sci., 58, 3243-3270.
24. 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.
25. 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.Meteor. Soc. Japan, 84 (2), 259-276.
26. Persing, J., and M. T. Montgomery, 2003: Hurricane superintensity. J. Atmos. Sci., 60, 2349-2371.
27. Phillips, N. A., 1957: A coordinate system having some special advantages for numerical forecasting. J. Meteor., 14, 184-185.
28. Randall, D. A., and Coauthors, 2007: Climate models and their evaluation. Climate Change 2007: The Physical Science Basis, S. Solomon et al., Eds., Cambridge University Press, 589-662.
29. 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.
30. Shen, B.-W., R. Atlas, J.-D. Chern, O. Reale, S.-J. Lin, T. Lee, and J. Chang, 2006a: The 0.125 degree finite-volume general circulation model on the NASA Columbia supercomputer: Preliminary simulations of mesoscale vortices. Geophys. Res. Lett., 33, L05801, doi:10.1029/2005GL024594.
31. Shen, B.-W., R. Atlas, O. Reale, S.-J. Lin, J.-D. Chern, J. Chang, C. Henze, and J.-L. Li, 2006b: Hurricane forecasts with a global mesoscale-resolving model: Preliminary results with Hurricane Katrina (2005). Geophys. Res. Lett., 33, L13813, doi:10.1029/2006GL026143.
32. Simmons, A. J., and D. M. Burridge, 1981: An energy and angular momentum conserving vertical finite-difference scheme and hybrid vertical coordinates. Mon. Wea. Rev., 109, 758-766.
33. Walsh, K. J. E., 2008: The ability of climate models to generate tropical cyclones: Implications for prediction. Climate Change Research Progress, L. Peretz, Ed., Nova Publishers, 313-329.
34. Wang, D., X. Liang, Y. Zhao, and B. Wang, 2008: A comparison of two tropical cyclone bogussing schemes. Wea. Forecasting, 23, 194-204.
35. Wang, Y., and J. Xu, 2010: Energy production, frictional dissipation, and maximum intensity of a numerically simulated tropical cyclone. J. Atmos. Sci., 67, 97-116.
36. Williamson, D. L., 2008a: Convergence of aqua-planet simulations with increasing resolution in the Community Atmospheric Model, Version 3. Tellus, 60, 848-862.
37. Williamson, D. L., 2008b: Equivalent finite volume and Eulerian spectral transform horizontal resolutions established from aqua-planet simulations. Tellus, 60, 839-847.
38. 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-systemresolving approach. Geophys. Res. Lett., 37, L07709, doi:10.1029/2010GL042518.
39. Zhang, F., and J. A. Sippel, 2009: Effects of moist convection on hurricane predictability. J. Atmos. Sci., 66, 1944-1961.
40. Zhang, G. J., and N. A. McFarlane, 1995: Sensitivity of climate simulations to the parameterization of cumulus convection in the Canadian Climate Centre general circulation model. Atmos. -Ocean, 33, 407-446.
41. 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.