The influence of horizontal environmental variability on numerically simulated convective storms. Part I: Variations in vertical shear

Monthly Weather Review

Volumn 135, Issue 10, 2007, Pages 3429-3455

  Richardson, Yvette P ^a,b   Droegemeier, Kelvin K ^a   Davies Jones, Robert P ^c  

^a UNIVERSITY OF OKLAHOMA   (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c NATIONAL SEVERE STORMS LABORATORY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE CHANGE; COMPUTER SIMULATION; WEATHER FORECASTING; WIND;

BOW-ECHO STRUCTURE; CONVECTIVE STORMS; SHEAR FLANK;

STORMS;

COLD POOL; COMPUTER SIMULATION; CONVECTIVE SYSTEM; CYCLOGENESIS; LAND SURFACE; SENSITIVITY ANALYSIS; STORM; SUPERCELL; TOPOGRAPHIC EFFECT; WIND PROFILE;

EID: 34047212331     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/MWR3463.1     Document Type: Article

References (48)

1. Atkins, N. T., M. L. Weisman, and L. J. Wicker, 1999: The influence of preexisting boundaries on supercell evolution. Mon. Wea. Rev., 127, 2910-2927.
2. Bryan, G. H., 2005: Spurious convective organization in simulated squall lines owing to moist absolutely unstable layers. Mon. Wea. Rev., 133, 1978-1997.
3. Bryan, G. H., J. C. Wyngaard, and J. M. Fritsch, 2003: Resolution requirements for the simulation of deep moist convection. Mon. Wea. Rev., 131, 2394-2416.
4. Burgess, D. W., and E. B. Curran, 1985: The relationship of storm type to environment in Oklahoma on 26 April 1984. Preprints, 14th Conf. on Severe Local Storms, Indianapolis, IN, Amer. Meteor. Soc., 208-211.
5. Carpenter, K. M., 1982: Note on the paper "Radiation conditions for the lateral boundaries of limited-area numerical models" by M. J. Miller and A. J. Thorpe. Quart. J. Roy. Meteor. Soc., 108, 717-719.
6. Coniglio, M. C., and D. J. Stensrud, 2001: Simulation of a progressive derecho using composite initial conditions. Mon. Wea. Rev., 129, 1593-1616.
7. Crook, N. A., and M. W. Moncrieff, 1988: The effect of large-scale convergence on the generation and maintenance of deep moist convection. J. Atmos. Sci., 45, 3606-3624.
8. Davies-Jones, R., 1984: Streamwise vorticity: The origin of updraft rotation in supercell storms. J. Atmos. Sci., 41, 2991-3006.
9. Deardorff, J. W., 1980: Stratocumulus-capped mixed layers derived from a three-dimensional model. Bound.-Layer Meteor., 18, 495-527.
10. Droegemeier, K. K., 1997: The numerical prediction of thunderstorms: Challenges, potential benefits, and results from realtime operational tests. WMO Bull., 46, 324-336.
11. Evans, J. S., and C. A. Doswell III, 2001: Examination of derecho environments using proximity soundings. Wea. Forecasting, 16, 329-342.
12. Johns, R. H., and W. D. Hirt, 1987: Derechos: Widespread convectively induced windstorms. Wea. Forecasting, 2, 32-49.
13. Kay, M. P., and L. J. Wicker, 1998: Numerical simulations of supercell interactions with thermal boundaries. Preprints, 19th Conf. on Severe Local Storms, Minneapolis, MN, Amer. Meteor. Soc., 246-248.
14. Klemp, J. B., and R. B. Wilhelmson, 1978a: The simulation of three-dimensional convective storm dynamics. J. Atmos. Sci., 35, 1070-1096.
15. Klemp, J. B., and R. B. Wilhelmson, 1978b: The simulation of right- and left-moving storms produced through storm splitting. J. Atmos. Sci., 35, 1097-1110.
16. Kost, J., and Y. P. Richardson, 2004: The influence of temporally-varying vertical wind shear on numerically simulated convective storms. Preprints, 22d Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, 9.2.
17. Kron, J., 2004: The evolution of numerically-modeled convection in an environment containing horizontal variations of vertical shear and low-level moisture. M.S. thesis, Dept. of Meteorology, The Pennsylvania State University, 170 pp.
18. Lilly, D. K., 1986a: The structure, energetics and propagation of rotating convective storms. Part I: Energy exchange with the mean flow. J. Atmos. Sci., 43, 113-125.
19. Lilly, D. K., 1986b: The structure, energetics and propagation of rotating convective storms. Part II: Helicity and storm stabilization. J. Atmos. Sci., 43, 126-140.
20. Markowski, P. M., and Y. P. Richardson, 2007: Observations of vertical wind shear heterogeneity in convective boundary layers. Mon. Wea. Rev., 135, 843-861.
21. Markowski, P. M., J. M. Straka, E. N. Rasmussen, and D. O. Blanchard, 1998: Variability of storm-relative helicity during VORTEX. Mon. Wea. Rev., 126, 2959-2971.
22. Markowski, P. M., C. Hannon, J. Frame, E. Lancaster, A. Pietrycha, R. Edwards, and R. L. Thompson, 2003: Characteristics of vertical wind profiles near supercells obtained from the Rapid Update Cycle. Wea. Forecasting, 18, 1262-1272.
23. Marwitz, J. D., 1972a: The structure and motion of severe hailstorms. Part I: Supercell storms. J. Appl. Meteor., 11, 166-179.
24. Marwitz, J. D., 1972b: The structure and motion of severe hailstorms. Part II: Multicell storms. J. Appl. Meteor., 11, 180-188.
25. Marwitz, J. D., 1972c: The structure and motion of severe hailstorms. Part III: Severely sheared storms. J. Appl. Meteor., 11, 189-201.
26. McCaul, E. W., and M. L. Weisman, 2001: The sensitivity of simulated supercell structure and intensity to variations in the shapes of environmental buoyancy and shear profiles. Mon. Wea. Rev., 129, 664-687.
27. Moeng, C. H., 1984: A large-eddy simulation model for the study of planetary boundary-layer turbulence. J. Atmos. Sci., 41, 2052-2062.
28. Moeng, C. H., and J. C. Wyngaard, 1988: Spectral analysis of large-eddy simulations of the convective boundary layer. J. Atmos. Sci., 45, 3573-3587.
29. Moncrieff, M. W., and J. S. A. Green, 1972: The propagation and transfer properties of steady convective-overturning in shear. Quart. J. Roy. Meteor. Soc., 98, 336-352.
30. Rasmussen, E. N., and D. O. Blanchard, 1998: A baseline climatology of sounding-derived supercell and tornado forecast parameters. Wea. Forecasting, 13, 1148-1164.
31. Richardson, Y. P., 1999: The influence of horizontal variations in vertical shear and low-level moisture on numerically simulated convective storms. Ph.D. dissertation, School of Meteorology, University of Oklahoma, 236 pp.
32. Rotunno, R., and J. B. Klemp, 1982: The influence of the shear-induced pressure gradient on thunderstorm motion. Mon. Wea. Rev., 110, 136-151.
33. Rotunno, R., and J. B. Klemp, 1985: On the rotation and propagation of simulated supercell thunderstorms. J. Atmos. Sci., 42, 271-292.
34. Rotunno, R., J. B. Klemp, and M. L. Weisman, 1988: A theory for strong, long-lived squall lines. J. Atmos. Sci., 45, 463-485.
35. Skamarock, W. C., M. L. Weisman, C. A. Davis, and J. B. Klemp, 1994: The evolution of simulated mesoscale convective systems in idealized environments. Preprints, Sixth Conf. on Mesoscale Meteorology, Portland, OR, Amer. Meteor. Soc., 407-410.
36. Stensrud, D. J., M. C. Coniglio, R. P. Davies-Jones, and J. S. Evans, 2005: Comments on "'A theory for strong long-lived squall lines' revisited." J. Atmos. Sci., 62, 2989-2996.
37. Weisman, M. L., 1993: The genesis of severe, long-lived bow echoes. J. Atmos. Sci., 50, 645-670.
38. Weisman, M. L., and J. B. Klemp, 1982: The dependence of numerically-simulated convective storms on vertical wind shear and buoyancy. Mon. Wea. Rev., 110, 504-520.
39. Weisman, M. L., and J. B. Klemp, 1984. The structure and classification of numerically simulated convective storms in directionally varying wind shears. Mon. Wea. Rev., 112, 2479-2498.
40. Weisman, M. L., and R. Rotunno, 2004: "A theory for strong long-lived squall lines" revisited. J. Atmos. Sci., 61, 361-382.
41. Weisman, M. L., and R. Rotunno, 2005: Reply. J. Atmos. Sci., 62, 2997-3002.
42. Weisman, M. L., J. B. Klemp, and R. Rotunno, 1988: Structure and evolution of numerically simulated squall lines. J. Atmos. Sci., 45, 1990-2013.
43. Weisman, M. L., M. S. Gilmore, and L. J. Wicker, 1998: The impact of convective storms on their local environment: What is an appropriate ambient sounding? Preprints, 19th Conf. on Severe Local Storms, Minneapolis, MN, Amer. Meteor. Soc., 238-241.
44. Xue, M., V. Wong, A. Shapiro, and K. Brewster, 1995: ARPS version 4.0 user's guide. Center for Analysis and Prediction of Storms, University of Oklahoma, Norman, OK, 390 pp.
45. Xue, M., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161-193.
46. Xue, M., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS) - A multiscale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
47. Xue, M., D.-H. Wang, J.-D. Gao, K. Brewster, and K. K. Droegemeier, 2003: The Advanced Regional Prediction System (ARPS), storm-scale numerical weather prediction and data assimilation. Meteor. Atmos. Phys., 82, 139-170.
48. Zalesak, S. T., 1979: Fully multidimensional flux-corrected transport algorithms for fluids. J. Comput. Phys., 31, 335-362.