The impact of size distribution assumptions in a bulk one-moment microphysics scheme on simulated surface precipitation and storm dynamics during a low-topped supercell case in Belgium

Monthly Weather Review

Volumn 139, Issue 4, 2011, Pages 1131-1147

  van Weverberg, Kwinten ^a,b   van Lipzig, Nicole P M ^a   Delobbe, Laurent ^c  

^a UNIVERSITY OF LEUVEN   (Belgium)

^b BROOKHAVEN NATIONAL LABORATORY   (United States)

^c ROYAL METEOROLOGICAL INSTITUTE OF BELGIUM   (Belgium)

Author keywords

Drop size distribution; Dynamics; Mesoscale processes; Precipitation; Supercells; Surface layer

Indexed keywords

DROP SIZE DISTRIBUTION; MESOSCALE PROCESS; PRECIPITATION; SUPER CELL; SURFACE LAYER;

DROPS; DYNAMICS; LAKES; PHASE TRANSITIONS; PHYSICS; SIZE DETERMINATION; SIZE DISTRIBUTION; STORMS;

RAIN;

CLOUD MICROPHYSICS; COLD POOL; HYDROMETEOROLOGY; LATENT HEAT FLUX; MESOSCALE METEOROLOGY; PRECIPITATION (CLIMATOLOGY); SIZE DISTRIBUTION; STORM; SUPERCELL;

BELGIUM;

EID: 79955158709     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/2010MWR3481.1     Document Type: Article

References (38)

1. Cohen, C., and E. W. McCaul, 2006: The sensitivity of simulated convective storms to variations in prescribed single-moment microphysics parameters that describe particle distributions, sizes, and numbers. Mon. Wea. Rev., 134, 2547-2565.
2. Dawson, D. T., M. Xue, J. A. Milbrandt, and M. K. Yau, 2010: Comparison of evaporation and cold pool development between single-moment and multimoment bulk microphysics schemes in idealized simulations of tornadic thunderstorms. Mon. Wea. Rev., 138, 11521131-11471171.
3. Deng, A., and D. R. Stauffer, 2006: On improving 4-km mesoscale model simulations. J. Appl.Meteor. Climatol., 45, 361-381.
4. Federer, B., and A. Waldvogel, 1975: Hail and raindrop size distributions froma Swissmulticell storm. J.Appl.Meteor., 14, 91-97.
5. Ferrier, B. S., 1994: A double-moment multiple-phase four-class bulk ice scheme. Part I: Description. J. Atmos. Sci., 51, 249-280.
6. Gilmore, M. S., J. M. Straka, and E. N. Rasmussen, 2004: Precipitation uncertainty due to variations in precipitation particle parameters within a simple microphysics scheme. Mon. Wea. Rev., 132, 2610-2627.
7. Goudenhoofdt,E., and L.Delobbe, 2009: Evaluation of radar-gauge merging methods for quantitative precipitation estimates. Hydrol. Earth Syst. Sci., 13, 195-203.
8. Groenemeijer, P. H., and A. van Delden, 2007: Sounding-derived parameters associated with large hail and tornadoes in the Netherlands. Atmos. Res., 83, 473-487.
9. Gunn, K. L. S., and J. S. Marshall, 1958: The distribution with size of aggregate snowflakes. J. Meteor., 15, 452-461.
10. Houze, R. A., P. V. Hobbs, P. H. Herzegh, and D. B. Parsons, 1979: Size distributions of precipitation particles in frontal clouds. J. Atmos. Sci., 36, 156-162.
11. Kain, J. S., and J. M. Fritsch, 1993: Convective parameterization for mesoscale models: The Kain-Fritsch scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 24, Amer. Meteor. Soc., 165-170.
12. 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.
13. Khain, A., A. Pokrovsky, and I. Sednev, 1999: Some effects of cloud-aerosol interaction on cloud microphysics structure and precipitation formation: Numerical experiments with a spectral microphysics cloud ensemble model. Atmos. Res., 52, 195-220.
14. Kogan, Y. L., 1991: The simulation of a convective cloud in a 3D model with explicit microphysics. Part I: Model description and sensitivity experiments. J. Atmos. Sci., 48, 1160-1189.
15. Li, X.,W.-K. Tao, A. P. Khain, J. Simpson, and D. E. Johnson, 2009: Sensitivity of a cloud-resolving model to bulk and explicit bin microphysical schemes. Part II: Cloud microphysics and storm dynamics interactions. J. Atmos. Sci., 66, 22-40.
16. Lin, Y.-L., R. D. Farley, and H. D. Orville, 1983: Bulk parameterization of the snow field in a cloud model. J. Climate Appl. Meteor., 22, 1065-1092.
17. Liu, J. Y., and H. D. Orville, 1969: Numerical modeling of precipitation and cloud shadow effects on mountain-induced cumuli. J. Atmos. Sci., 26, 1283-1298.
18. Locatelli, J. D., and P. V. Hobbs, 1974: Fall speeds and masses of solid precipitation particles. J. Geophys. Res., 79, 2185-2197.
19. Marshall, J. S., and W. M. Palmer, 1948: The distribution of raindrops with size. J. Meteor., 5, 165-166.
20. McCumber, M., W.-K. Tao, J. Simpson, R. Penc, and S.-T. Soong, 1991: Comparison of ice-phase microphysical parameterization schemes using numerical simulations of tropical convection. J. Appl. Meteor., 30, 985-1004.
21. Milbrandt, J. A., and M. K. Yau, 2005: A multimoment bulk microphysics parameterization. Part II:Aproposed three-moment closure and scheme description. J. Atmos. Sci., 62, 3065-3081.
22. Milbrandt, J. A., and M. K. Yau, 2006: A multimoment bulk microphysics parameterization. Part III: Control simulation of a hailstorm. J. Atmos. Sci., 63, 3114-3136.
23. Morrison, H., G. Thompson, and V. Tatarskii, 2009: Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: Comparison of oneand two-moment schemes. Mon. Wea. Rev., 137, 991-1007.
24. Noilhan, J., and S. Planton, 1989: A simple parameterization of land surface processes for meteorological models. Mon. Wea. Rev., 117, 536-549.
25. Ovtchinnikov, M., and Y. L. Kogan, 2000: An investigation of ice production mechanisms in small cumuliform clouds using a 3D model with explicit microphysics. Part I: Model description. J. Atmos. Sci., 57, 2989-3003.
26. Seifert, A., and K. D. Beheng, 2006: A two-moment cloud microphysics parameterization for mixed-phase clouds. Part 2: Maritime vs. continental deep convective storms. Meteor. Atmos. Phys., 92, 67-82.
27. Stein, U., and P. Alpert, 1993: Factor separation in numerical simulations. J. Atmos. Sci., 50, 2107-2115.
28. Sui, C. H., X. Li, and M.-J. Yang, 2007: On the definition of precipitation efficiency. J. Atmos. Sci., 64, 4506-4513.
29. Sun, W.-Y., and C.-Z. Chang, 1986: Diffusion model for a convective layer. Part I: Numerical simulation of convective boundary layer. J. Climate Appl. Meteor., 25, 1445-1453.
30. Thompson, G., P. R. Field, R. M. Rasmussen, and W. D. Hall, 2008: Explicit forecasts of winter precipitation using an improved bulk microphysics scheme. Part II: Implementation of a new snow parameterization. Mon. Wea. Rev., 136, 5095-5115.
31. van den Heever, S. C., and W. R. Cotton, 2004: The impact of hail size on simulated supercell storms. J. Atmos. Sci., 61, 1596-1609.
32. Waldvogel, A., 1974: The N0 jump of raindrop spectra. J. Atmos. Sci., 31, 1067-1078.
33. Weisman,M. L., C. Davis,W.Wang, K. W. Manning, and J. B. Klemp, 2008: Experiences with 0-36-h explicit convective forecasts with the WRF-ARW model. Wea. Forecasting, 23, 407-437.
34. Wisner, C., H. D. Orville, and C. Myers, 1972: A numerical model of a hail-bearing cloud. J. Atmos. Sci., 29, 1160-1181.
35. Xue, M., 2000: High-order monotonic numerical diffusion and smoothing. Mon. Wea. Rev., 128, 2853-2864.
36. Wisner, C., K. K. Droegemeier, and V. Wong, 2000: The Advanced Regional Prediction System (ARPS)-Amulti-scale nonhydrostatic atmospheric simulation and prediction model. Part I: Model dynamics and verification. Meteor. Atmos. Phys., 75, 161-193.
37. Wisner, C., and Coauthors, 2001: The Advanced Regional Prediction System (ARPS)-A multi-scale nonhydrostatic atmospheric simulation and prediction tool. Part II: Model physics and applications. Meteor. Atmos. Phys., 76, 143-165.
38. Zhang, G., M. Xue, Q. Cao, and D. Dawson, 2008: Diagnosing the intercept parameter for exponential raindrop size distribution based on video disdrometer observations: Model development. J. Appl. Meteor. Climatol., 47, 2983-2992.