Numerical modelling of heavy rainfall event over Madeira Island in Portugal: Sensitivity to different micro physical processes

Meteorological Applications

Volumn 22, Issue 1, 2015, Pages 113-127

  Dasari, Hari Prasad ^a   Salgado, Rui ^a  

^a UNIVERSITY OF ÉVORA   (Portugal)

Author keywords

Heavy rainfall; Hydrometeors; Mesoscale model; Microphysics

Indexed keywords

ATMOSPHERIC MOVEMENTS; FLOOD CONTROL; FLOODS; WEATHER FORECASTING;

CLOUD MICROPHYSICAL PARAMETERIZATIONS; CLOUD MICROPHYSICAL PROPERTIES; HEAVY RAINFALL; HYDROMETEORS; MESO-SCALE MODELING; METEOROLOGICAL CONDITION; MICROPHYSICS; THERMODYNAMIC PARAMETER;

RAIN;

CLOUD MICROPHYSICS; INSTRUMENTATION; MESOSCALE EDDY; MODELING; RAINFALL; SENSITIVITY ANALYSIS;

MADEIRA; PORTUGAL;

EID: 84921633920     PISSN: 13504827     EISSN: 14698080     Source Type: Journal    
DOI: 10.1002/met.1375     Document Type: Article

References (33)

1. Cotton WR, Tripoli GJ, Rauber RM, Mulvihill EA. 1986. Numerical simulation of the effects of varying ice crystal nucleation rates and aggregation processes on orographic snowfall. J. Appl. Meteorol. 25: 1658-1680.
2. Couto FT, Salgado R, Costa MJ. 2012. Analysis of intense rainfall events on Madeira Island during the 2009/2010 winter. Nat. Hazards Earth Syst. Sci. 12: 2225-2240. doi:10.5194/nhess-12-2225-2012.
3. Dudhia J. 1989. Numerical study of convection observed during the winter monsoon experiment using a mesoscale two-dimensional model. J. Atmos. Sci. 46: 3077-3107.
4. Ferrier BS. 1994. A double-moment multiple-phase four-class bulk ice scheme part I: description. J. Atmos. Sci. 51: 249-280.
5. Ferrier BS, Tao WK, Simpson J. 1995. A double-moment multiple-phase four-class bulk ice scheme part II: simulations of convective storms in different large-scale environments and comparisons with other bulk parameterizations. J. Atmos. Sci. 52: 1001-1033.
6. Fragoso M, Trigo RM, Pinto JG, Lopes SS, Lopes A, Ulbrich S, Magro C. 2012. The 20 February Madeira flash-floods: synoptic analysis and extreme rainfall assessment. Nat. Hazards Earth Syst. Sci. 12: 715-730.
7. Gilmore MS, Straka JM, Rasmussen EN. 2004a. Precipitation and evolution sensitivity in simulated deep convective storms: comparisons between liquid-only and simple ice and liquid phase microphysics. Mon. Weather Rev. 132: 1897-1916.
8. Gilmore MS, Straka JM, Rasmussen EN. 2004b. Precipitation uncertainty due to variations in precipitation particle parameters within a simple microphysics scheme. Mon. Weather Rev. 132: 2610-2627.
9. Grubisic V, Vellore RK, Huggins AW. 2005. Quantitative precipitation forecasting of wintertime storms in the sierra Nevada: sensitivity to the microphysical parameterization and horizontal resolution. Mon. Weather Rev. 133: 2834-2859.
10. Guttman R. 2010. The Madeira Island Floods of 20 February 2010. National Weather Service. http://cms.met.psu.edu/sref/severe/2010/20Feb2010.pdf
11. Hong SY. 2004. Comparison of heavy rainfall mechanisms in Korea and the central United States. J. Meteorol. Soc. Jpn. 82: 1469-1479.
12. Hong SY, Dudhia J, Chen SH. 2004. A revised approach to ice-microphysical processes for the bulk parameterization of cloud and precipitation. Mon. Weather Rev. 132: 103-120.
13. Hong SY, Lim JO. 2006. The WRF single-moment 6-class microphysics scheme (WSM6). J. Korean Meteorol. Soc. 42: 129-151.
14. Hong SY, Noh Y, Dudhia J. 2006. A new vertical diffusion package with an explicit treatment of entrainment processes. Mon. Weather Rev. 134: 2318-2341.
15. Jolliffe IT, Stephenson DB. 2003. Forecast Verification. A practitioner's Guide in Atmospheric Science. John Wiley and Sons Ltd; 240 pp.
16. Kain J, Fritsch M. 1993. Convective parameterization for mesoscale models: the kain-fritsch scheme. The representation of cumulus convection in numerical models. Meteorol. Monogr. Am. Meteorol. Soc. 24: 165-170.
17. Kessler E. 1969. On the distribution and continuity of water substance in atmospheric circulation. Meteorol. Monogr. Am. Meteorol. Soc. 32: 84 pp.
18. Khain A, Rosenfeld D, Pokrovsky A. 2005. Aerosol impact on the dynamics and microphysics of deep convective clouds. Q. J. R. Meteorol. Soc. 131: 2639-2663.
19. Koenig LR, Murray FW. 1976. Ice-bearing cumulus cloud evolution: numerical simulation and general comparison against observations. J. Appl. Meteorol. 15: 747-762.
20. Lin YL, Farley RD, Orville HD. 1983. Bulk parameterization of the snow field in a cloud model. J. Clim. Appl. Meteorol. 22: 1065-1092.
21. Liu CH, Moncrieff MW. 2007. Sensitivity of cloud-resolving simulations of warm-season convection to cloud microphysics parameterizations. Mon. Weather Rev. 135: 2854-2868.
22. Liu CH, Moncrieff MW, Tuttle JD, Carbone RE. 2006. Explicit and parameterized episodes of warm-season precipitation over the continental United States. Adv. Atmos. Sci. 23: 91-105.
23. Luna T, Rocha A, Carvalho AC, Ferreira JA, Sousa J. 2011. Modelling the extreme precipitation event over Madeira Island on 20 February 2010. Nat. Hazards Earth Syst. Sci. 11(2437-2452): 2011.
24. McCumber M, Tao WK, Simpson J, Penc R, Soong ST. 1991. Comparison of ice-phase microphysical parameterization schemes using numerical simulations of tropical convection. J. Appl. Meteorol. 30: 985-1004.
25. Mlawer EJ, Taubman SJ, Brown PD, Iacono MJ, Clough SA. 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated -k model for the longwave. J. Geophys. Res. 102(D14): 16, 663-16, 682.
26. Morrison H, Curry JA, Khvorostyanov VI. 2005. A new double-moment microphysics parameterization for application in cloud and climate models part I: description. J. Atmos. Sci. 62: 1665-1677.
27. Morrison H, Thompson G, Tatarskii V. 2009. Impact of cloud microphysics on the development of trailing stratiform precipitation in a simulated squall line: comparison of one and two-moment schemes. Mon. Weather Rev. 137: 991-1006.
28. Murphy AH, Winkler RL. 1987. A general framework for forecast verification. Mon. Weather Rev. 115: 1330-1338.
29. Petersen WA, Rutledge SA. 2001. Regional variability in tropical convection: observations from TRMM. J. Climate 14: 3566-3586.
30. Skamarock WC, Klemp JB, Dudhia J, Gill D, Barker D, Duda M, Huang X, Wang W, Powers J. 2008. A Description of the Advanced Research WRF Version 3 Technical Note TN-475+STR. NCAR.
31. Thompson G, Field PR, Hall WD, Rasmussen RM. 2006. A new bulk microphysical parameterization for WRF and MM5. In Proceedings of the Seventh Weather Research and Forecasting Model Workshop. NCAR Mesoscale and Microscale Meteorology Division: Boulder, CO; 1-11.
32. Thompson G, Rasmussen RM, Manning K. 2004. Explicit forecasts of winter precipitation using an improved bulk microphysics scheme part I: description and sensitivity analysis. Mon. Weather Rev. 132: 519-542.
33. Walko RL, Cotton WR, Meyers MP, Harrington JY. 1995. New RAMS cloud microphysics parameterization part I: the single-moment scheme. Atmos. Res. 38: 29-62.