Turbulence closure parameterization and grid spacing effects in simulated supercell storms

Journal of the Atmospheric Sciences

Volumn 67, Issue 12, 2010, Pages 3870-3890

  Fiori, Elisabetta ^a   Parodi, Antonio ^a   Siccardi, Franco ^a,b  

^a CIMA Research Foundation   (Italy)

^b UNIVERSITY OF GENOA   (Italy)

Author keywords

Grid systems; Parameterization; Supercells; Turbulence

Indexed keywords

BOUNDARY LAYER APPROXIMATION; DECISION MAKERS; FLOW FIELD STRUCTURE; GRID SYSTEMS; GRID-SPACINGS; HIGH-RESOLUTION NUMERICAL SIMULATION; LIMITED AREA MODELS; SEVERE WEATHER; SMALL-SCALE MODELING; SPATIO-TEMPORAL PROPERTIES; SUPER CELL; SUPERCELL STORMS; TURBULENCE CLOSURES;

ATMOSPHERIC BOUNDARY LAYER; COMPUTER SIMULATION; PARAMETERIZATION; STORMS; TRANSPORT PROPERTIES; TURBULENCE;

ATMOSPHERIC THERMODYNAMICS;

BOUNDARY LAYER; CONVECTION; FLOW FIELD; FLOW STRUCTURE; NUMERICAL MODEL; PARAMETERIZATION; PRECIPITATION (CLIMATOLOGY); SEVERE WEATHER; SPATIOTEMPORAL ANALYSIS; STORM; SUPERCELL; TURBULENCE; WEATHER FORECASTING;

EID: 78651095779     PISSN: 00224928     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010JAS3359.1     Document Type: Article

References (47)

1. Adlerman, E. J., and K. K. Droegemeier, 2002: The sensitivity of numerically simulated cyclic mesocyclogenesis to variations in model physical and computational parameters. Mon. Wea. Rev., 130, 2671-2691.
2. Ayala, O., B. Rosa, L.-P. Wang, and W. W. Grabowski, 2008a: Effects of turbulence on the geometric collision rate of sedimenting droplets. Part 1: Results from direct numerical simulation. New J. Phys., 10, 075015, doi:10.1088/1367-2630/10/7/075015.
3. Ayala, O, B. Rosa, and L.-P. Wang, 2008b: Effectsofturbulenceonthe geometric collision rate of sedimenting droplets. Part 2: Theory and parameterization. New J. Phys., 10, 075016, doi:10.1088/1367-2630/10/7/075016.
4. Barancourt, C. J., D. Creutin, and J. Rivoirard, 1992: A method for delineating and estimating rainfall fields. Water Resour. Res., 28, 1133-1144.
5. Benoit, R., J. Côté, and J. Mailhot, 1989: Inclusion of a TKE boundary layer parameterization in the Canadian regional finite-element model. Mon. Wea. Rev., 117, 1726-1750.
6. Blackadar, A. K., 1962: The vertical distribution of wind and turbulent exchange in a neutral atmosphere. J. Geophys. Res., 67, 3095-3102.
7. 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.
8. Craig, G. C., and A. Dörnbrack, 2008: Entrainment in cumulus clouds: What resolution is cloud-resolving? J. Atmos. Sci., 65, 3978-3988.
9. Davies, H. C., 1976: A lateral boundary formulation for multilevel prediction models. Quart. J. Roy. Meteor. Soc., 102, 405-418.
10. Doms, G., 2001: A scheme for monotonic numerical diffusion in the LM. COSMO Tech. Rep. 3, 24 pp. [Available online at http://www.cosmo-model.cscs.ch/content/model/documentation/techReports/docs/techReport03.pdf.]
11. Doms, G, and U. Schlättler, 2002: A description of the nonhydrostatic regional model LM. Part I: Dynamics and numerics. COSMO, Deutsche Wetterdienst, 134 pp.
12. Doms, G, and J. Forstner, 2004: Development of a kilometer-scale NWP system: LMK. COSMO Newsletter, Deutscher Wetterdienst, Offenbach, Vol. 4, 159-167. [Available online at http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter04.]
13. Doms, G, and Coauthors, 2007: A description of the nonhydrostatic regional model LM: Physical parameterization. COSMO, Deutscher Wetterdienst, 120 pp.
14. Elementi, M., C. Marsigli, and T. Paccagnella, 2005: High-resolution forecast of heavy precipitation with Lokal Modell: Analysis of two case studies in the Alpine area. Nat. Hazards Earth Syst. Sci., 5, 593-602.
15. Franklin, C. N., P. A. Vaillancourt, M. K. Yau, and P. Bartello, 2005: Collision rates of cloud droplets in turbulent flow. J. Atmos. Sci., 62, 2451-2466.
16. Gassmann, A., 1992: A two-time-level integration scheme for the LM. COSMO Newsletter, Deutscher Wetterdienst, Offenbach, Vol. 2, 97-100. [Available online at http://www.cosmo-model.org/content/model/documentation/newsLetters/newsLetter02.]
17. Gilmore, M. S., and L. J. Wicker, 1998: The influence of mid-tropospheric dryness on supercell morphology and evolution. Mon. Wea. Rev., 126, 943-958.
18. Herzog, H.-J., U. Schubert, G. Vogel, A. Fiedler, and R. Kirchner, 2002a: LLM: The high-resolving nonhydrostatic simulation model in the DWD-Project LITFASS. Part I: Modeling technique and simulation method. COSMO Tech. Rep. 4, 70. pp. [Available online at http://cosmo-model.cscs.ch/content/model/documentation/techReports.]
19. Herzog, H.-J, G. Vogel, and U. Schubert, 2002b: LLM: A nonhydrostatic model applied to high-resolving simulations of turbulent fluxes over heterogeneous terrain. Theor. Appl. Climatol., 73, 67-86.
20. Kain, J. S., and Coauthors, 2008: Some practical considerations regarding horizontal resolution in the first generation of operational convection-allowing NWP. Wea. Forecasting, 23, 931-952.
21. Klemp, J. B., and R. B. Wilhelmson, 1978: Simulations of right- and left-moving storms produced through storm splitting. J. Atmos. Sci., 35, 1097-1110.
22. Lilly, D. K., 1986: The structure, energetics, and propagation of rotating convective storms. Part II: Helicity and storm stabilization. J. Atmos. Sci., 43, 126-140.
23. Piotrowski, Z. P., P. K. Smolarkiewiczc, S. P. Malinowski, and A. A. Wyszogrodzkic, 2009: On numerical realizability of thermal convection. J. Comput. Phys., 228, 6268-6290.
24. Read, P. L., N. P. J. Thomas, and S. H. Risch, 2000: An evaluation of Eulerian and semi-Lagrangian advection schemes in simulations of rotating, stratified flows in the laboratory. Part I: Axisymmetric flow. Mon. Wea. Rev., 128, 2835-2852.
25. Roberts, N. M., 2008: Assessing the spatial and temporal variation in the skill of precipitation forecasts from an NWP model. Meteor. Appl., 15, 163-169.
26. Roberts, N. M, and H. W. Lean, 2008: Scale-selective verification of rainfall accumulations from high-resolution forecasts of convective events. Mon. Wea. Rev., 136, 78-97.
27. Rotunno, R., and J. B. Klemp, 1982: The influence of the shear-induced pressure gradient on the thunderstorm motion. Mon. Wea. Rev., 110, 136-151.
28. Rotunno, R, and J. B. Klemp, 1985:On the rotation and propagationof simulated supercell thunderstorms. J. Atmos. Sci., 42, 271-292.
29. Rotunno, R, J. B. Klemp and M. L. Weisman, 1988: A theory for strong, long-lived squall lines. J. Atmos. Sci., 45, 463-485.
30. Rousseau, D., 1980: Controle des previsions II: Verification des prévisions de l'occurence d'un phénomène: Application aux prévisions de precipitations. EERM Tech. Note 80, 17 pp.
31. Skamarock, W. C., 2004: Evaluating mesoscale NWP models using kinetic energy spectra. Mon. Wea. Rev., 132, 3019-3032.
32. Skamarock, W. C, 2005: Why is there more than one dynamical core in WRF? A technical perspective 6 pp. [Available online at http://www.mmm.ucar.edu/people/skamarock/one_core_2005.pdf.]
33. Skamarock, W. C, and G. B. Bryan, 2006: High-resolution numerical weather prediction: Are our models adequate? Proc. Fourth Joint Korea-U.S. Workshop on Mesoscale Observation, Data Assimilation, and Modeling for Severe Weather, Seoul, South Korea, JAMSTEC.
34. Skamarock, W. C, and J. B. Klemp, 2007: A time-split nonhydrostatic atmospheric model for weather research and forecasting applications. J. Comput. Phys., 227, 3465-3485.
35. Smolarkiewicz, P. K., V. Grubisić, and L. G. Margolin, 1997: On forward-in-time differencing for fluids: Stopping criteria for iterative solutions of anelastic pressure equations. Mon. Wea. Rev., 125, 647-654.
36. Steppeler, J., G. Doms, U. Schättler, H. W. Bitzer, A. Gassmann, U. Damrath, and G. Gregoric, 2003: Meso-gamma scale forecasts using the nonhydrostatic model LM. Meteor. Atmos. Phys., 82, 75-96.
37. Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer Academic, 666 pp.
38. Szintai, B., P. Kaufmann, and M. W. Rotach, 2009: Deriving turbulence characteristics from the COSMO numerical weather prediction model for dispersion applications. Adv. Sci. Res., 3, 79-84.
39. Wang, L.-P., O. Ayala, S. E. Kasprzak, and W. W. Grabowski, 2005: Theoretical formulation of collision rate and collision efficiency of hydrodynamically interacting cloud droplets in turbulent atmosphere. J. Atmos. Sci., 62, 2433-2450.
40. Wang, L.-P, O. Ayala, B. Rosa, and W. W. Grabowski, 2008: Turbulent collision efficiency of heavy particles relevant to cloud droplets. New J. Phys., 10, 075013, doi:10.1088/1367-2630/10/7/075013.
41. 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.
42. 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.
43. Weisman, M. L, and J. B. Klemp, 1986: Characteristics of isolated convective storms. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 331-358.
44. Weisman, M. L, J. B. Klemp, and R. Rotunno, 1988: Structure and evolution of numerically simulated squall lines. J. Atmos. Sci., 45, 1990-2013.
45. Weisman, M. L, W. C. Skamarock, and J. B. Klemp, 1997: The resolution dependence of explicitly modeled convective systems. Mon. Wea. Rev., 125, 527-548.
46. Wyngaard, J. C., 2004: Toward numerical modeling in the "terra incognita." J. Atmos. Sci., 61, 1816-1826.
47. Xue, M., K. K. Droegemeier, and D. Weber, 2007: Numerical prediction of high-impact local weather: A driver for petascale computing. Petascale Computing: Algorithms and Applications, D. A. Bader, Ed., Chapman & Hall, 103-124.