Spatial forecasts of maximum hail size using prognostic model soundings and HAILCAST

Weather and Forecasting

Volumn 21, Issue 2, 2006, Pages 206-219

  Brimelow, Julian Charles ^a   Reuter, Gerhard W ^a   Goodson, Ron ^b   Krauss, Terrence W ^c  

^a UNIVERSITY OF ALBERTA   (Canada)

^b ENVIRONMENT CANADA   (Canada)

^c Weather Modification Incorporated   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; PRECIPITATION (METEOROLOGY); RADAR IMAGING; STATISTICS; WEATHER FORECASTING;

MAXIMUM HAIL SIZE; NUMERICAL HAIL GROWTH MODEL;

CLIMATOLOGY;

FORECASTING METHOD;

EID: 33646411763     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/WAF915.1     Document Type: Article

References (48)

1. Baldwin, M. E., J. S. Kain, and M. P. Kay, 2002: Properties of the convection scheme in NCEP's Eta Model that affect forecast sounding interpretation. Wea. Forecasting, 17, 1063-1079.
2. Barge, B. L., 1974: Polarization measurements of precipitation backscatter in Alberta. J. Rech. Atmos., 8, 163-173.
3. Betts, A. K., 1986: A new convective adjustment scheme. Part I: Observational and theoretical basis. Quart. J. Roy. Meteor. Soc., 112, 677-692.
4. Betts, A. K., and M. J. Miller, 1986: A new convective adjustment seheme. Part II: Single column tests using GATE wave, BOMEX, ATEX and arctic air-mass data sets. Quart. J. Roy. Meteor. Soc., 112, 693-709.
5. Brimelow, J. C., 1999: Numerical modelling of hailstone growth in Alberta storms. M.S. thesis, Dept. of Earth and Atmospheric Sciences, University of Alberta, 153 pp.
6. Brimelow, J. C., T. W. Krauss, and G. W. Reuter, 2002a: Operational forecasts of maximum hailstone diameter in Mendoza, Argentina. J. Wea. Mod., 34, 8-17.
7. Brimelow, J. C., G. W. Reuter, and E. P. Poolman, 2002b: Modeling maximum hall size in Alberta thunderstorms. Wea. Forecasting, 17, 1048-1062.
8. Brimelow, J. C., G. W. Reuter, A. Bellon, and D. Hudak, 2004: A radar-based methodology for preparing a severe thunderstorm climatology in central Alberta. Atmos.-Ocean, 42, 13-22.
9. Brooks, H. E., C. A. Doswell III, and R. A. Maddox, 1992: On the use of mesoscale and cloud-scale models in operational forecasting. Wea. Forecasting, 7, 120-132.
10. Brooks, H. E., C. A. Doswell III, and J. Cooper, 1994: On the environments of tornadic and nontornadic mesocyclones. Wea, Forecasting, 9, 606-618.
11. Case, J. L., J. Manobianco, A. V. Dianic, M. M. Wheeler, D. E. Harms, and C. R. Parks, 2002: Verification of high-resolution RAMS forecasts over east-central Florida during the 1999 and 2000 summer months. Wea. Forecasting, 17, 1133-1151.
12. Changnon, S. A., 1992: Temporal and spatial relations between hall and lightning. J. Appl. Meteor., 31, 587-604.
13. Changnon, S. A., R. A. Pielke Jr., D. Changnon, R. T. Sylves, and R. Pulwarty, 2000: Human factors explain the increased losses from weather and climate extremes. Bull. Amer. Meteor. Soc., 81, 437-442.
14. Charlton, R. B., B. M. Kachman, and L. Wojtiw, 1995: Urban hail-storms: A view from Alberta. Nat. Hazards, 12, 29-75.
15. Côté, J., S. Gravel, A. Méthot, A. Patoine, M. Roch, and A. Staniforth, 1998: The operational CMC-MRB Global Environmental Multiscale (GEM) model. Part I: Design considerations and formulation. Mon. Wea. Rev., 126, 1373-1395.
16. Crook, N. A., 1996: Sensitivity of moist convection forced by boundary layer processes to low-level thermodynamic fields. Mon. Wea. Rev., 124, 1767-1785.
17. Dixon, M., and G. Wiener, 1993: TITAN: Thunderstorm Identification, Tracking, Analysis, and Nowcasting - A radar-based methodology. J. Atmos. Oceanic Technol., 10, 785-797.
18. Doswell, C. A., III, J. T. Schaefer, D. W. McCann, T. W. Schlatter, and H. B. Wobus, 1982: Thermodynamic analysis procedures at the National Severe Storms Forecast Center. Pre-prints, Ninth Conf. Weather Forecasting and Analysis, Seattle, WA, Amer. Meteor. Soc., 304-309.
19. Edwards, R., and R. L. Thompson, 1998: Nationwide comparisons of hall size with WSR-88D vertically integrated liquid water and derived thermodynamic sounding data. Wea. Forecasting, 13, 277-285.
20. Etkin, D., and S. E. Brun, 1999: A note on Canada's hail climatology: 1977-1993. Int. J. Climatol., 19, 1357-1373.
21. Foster, D. S., and F. C. Bates, 1956: A hail size forecasting technique. Bull. Amer. Meteor. Soc., 37, 135-140.
22. Fritsch, J. M., and C. F. Chappell, 1980: Numerical prediction of convectively driven mesoscale pressure systems. Part I: Convective parameterization. J. Atmos. Sci., 37, 1722-1733.
23. Fritsch, J. M., and J. Kain, 1993: Convective parameterization for mesoscale models: The Fritsch-Chappell scheme. The Representation of Cumulus Convection in Numerical Models, Meteor. Monogr., No. 46, Amer. Meteor. Soc., 159-164
24. Grell, G. A., 1993: Prognostic evaluation of assumptions used by cumulus parameterizations. Mon. Wea. Rev., 121, 764-787.
25. Grell, G. A., Y. Kuo, and R. J. Pasch, 1991: Semiprognostic tests of cumulus parameterization schemes in the middle latitudes. Mon. Wea. Rev., 119, 5-31.
26. Hamill, T. M., and A. T. Church, 2000: Conditional probabilities of significant tornadoes from RUC-2 forecasts. Wea. Forecasting, 15, 461-475.
27. Hanna, S. R., and R. Yang, 2001: Evaluations of mesoscale models' simulations of near-surface winds, temperature gradients, and mixing depths. J. Appl. Meteor., 40, 1095-1104.
28. Hart, R. E., G. S. Forbes, and R. H. Grumm, 1998: The use of hourly model-generated soundings to forecast mesoscale phenomena. Part I: Initial assessment in forecasting warm-season phenomena. Wea. Forecasting, 13, 1165-1185.
29. Janjié, Z. I., 1994: The step-mountain eta coordinate model: Further developments of the convection, viscous sublayer, and turbulence closure schemes. Mon. Wea. Rev., 122, 927-945.
30. Jewell, R., and J. C. Brimelow, 2004: Evaluation of an Alberta hall growth model using severe hall proximity soundings in the United States. Preprints, 22d Conf. on Severe Local Storms, Hyannis, MA, Amer. Meteor. Soc., CD-ROM, P9.5.
31. Joe, P., D. Burgess, R. Potts, T. Keenan, G. Stumpf, and A. Treloar, 2004: The S2K severe weather detection algorithms and their performance. Wea. Forecasting, 19, 43-63.
32. Kitzmiller, D. H., W. E. McGovern, and R. F. Saffle, 1995: The WSR-88D severe weather potential algorithm. Wea. Forecasting, 10, 141-159.
33. Lenning, E., H. E. Fuelberg, and A. I. Watson, 1998: An evaluation of WSR-88D severe hall algorithms along the northeastern Gulf coast. Wea. Forecasting, 13, 1029-1045.
34. Marzban, C., and G. J. Stumpf, 1998: A neural network for damaging wind prediction. Wea. Forecasting, 13, 151-163.
35. Marzban, C., and A. Witt, 2001: A Bayesian neural network for severe-hall size prediction. Wea. Forecasting, 16, 600-610.
36. Moore, J. T., and J. P. Pino, 1990: An interactive method for estimating maximum hailstone size from forecast soundings. Wea. Forecasting, 5, 508-526.
37. Mueller, C. K., J. W. Wilson, and N. A. Crook, 1993: The utility of sounding and mesonet data to nowcast thunderstorm initiation. Wea. Forecasting, 8, 132-146.
38. Paxton, C. H., and J. M. Shepherd, 1993: Radar diagnostic parameters as indicators of severe thunderstorms in central Florida. NOAA Tech. Memo. NWS-SR 149, 12 pp. [Available from NTIS, U.S. Department of Commerce, 5285 Port Royal Rd., Springfield, VA 22161.]
39. Renick, J. H., and J. B. Maxwell, 1977: Forecasting hailfall in Alberta. Hail: A Review of Hail Science and Hail Suppression, Meteor. Monogr., No. 38, Amer. Meteor. Soc., 145-151.
40. Smith, S. B., and M. K. Yau, 1993: The causes of severe convective outbreaks in Alberta. Part II: Conceptual model and statistical analysis. Mon. Wea. Rev., 121, 1126-1134.
41. Stensrud, D. J., J.-W. Bao, and T. T. Warner, 2000: Using initial condition and model physics perturbations in short-range ensembles of mesoscale convective systems. Mon. Wea. Rev., 128, 2077-2107.
42. Thompson, R. L., 1998: Eta Model storm-relative winds associated with tornadic and nontornadic supercells. Wea. Forecasting, 13, 125-137.
43. Thompson, R. L., R. Edwards, J. A. Hart, K. L. Elmore, and P. Markowski, 2003: Close proximity soundings within supercell environments obtained from the Rapid Update Cycle. Wea. Forecasting, 18, 1243-1261.
44. Wagenmaker, R. B., 1992: Operational detection of hail by radar using heights of VIP-5 reflectivity echoes. Natl. Wea. Dig., 17(2), 2-5.
45. Weckwerth, T. M., 2000: The effect of small-scale moisture variability on thunderstorm initiation. Mon. Wea. Rev., 128, 4017-4030.
46. Weiss, S. J., D. L. Kelly, and J. T. Schaefer, 1980: New objective verification techniques at the National Severe Storms Forecast Center. Preprints, Eighth Conf. on Weather Forecasting and Analysis, Denver, CO, Amer. Meteor. Soc., 412-419.
47. Witt, A., M. D. Eilts, G. J. Stumpf, J. T. Johnson, E. D. Mitchell, and K. W. Thomas, 1998: An enhanced hail detection algorithm for the WSR-88D. Wea. Forecasting, 13, 286-303.
48. Wojtiw, L., 1977: Climatology of hailstorms in central Alberta. Albertan Geogr., 13, 15-30.