A three-dimensional numerical simulation of a great plains dryline

Monthly Weather Review

Volumn 125, Issue 7, 1997, Pages 1489-1506

  Shaw, B L ^a,b,d   Pielke, R A ^b   Ziegler, C L ^c  

^a AIR FORCE INSTITUTE OF TECHNOLOGY   (United States)

^b Engineering Research Center and Hydraulics Laboratory   (United States)

^c NATIONAL SEVERE STORMS LABORATORY   (United States)

^d Air Force Weather Agency   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0001186349     PISSN: 00270644     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0493(1997)125<1489:ATDNSO>2.0.CO;2     Document Type: Article

References (63)

1. Anthes, R. A., 1984: Enhancements of convective precipitation by mesoscale variations in vegetative covering in semi-arid regions. J. Climate Appl. Meteor., 23, 541-554.
2. _, Y. H. Kuo, S. G. Benjamin, and Y.-F. Li, 1982: The evolution of the mesoscale environment of severe local storms: Preliminary modeling results. Mon. Wea. Rev., 110, 1187-1213.
3. Avissar, R., and R. A. Pielke, 1989: A parameterization of heterogeneous land surfaces for atmospheric numerical models and its impact on regional meteorology. Mon. Wea. Rev., 117, 2113-2136.
4. Benjamin, S. G., 1986: Some effects of surface heating and topography on the regional severe storm environment. Mon. Wea. Rev., 114, 307-343.
5. _, and T. N. Carlson, 1986: Some effects of surface heating and topography on the regional severe storm environment. Part I: 3-D simulations. Mon. Wea. Rev., 114, 330-343.
6. Betts, A. K., 1982: Saturation point analysis of moist convective overturning. J. Atmos. Sci., 39, 1484-1505.
7. _, 1984: Boundary layer thermodynamics of a High Plains severe storm. Mon. Wea. Rev., 112, 2199-2211.
8. Bluestein, H. B., and S. S. Parker, 1993: Modes of isolated, severe convective storm formation along the dryline. Mon. Wea. Rev., 121, 1354-1372.
9. Bonan, G. B., D. Pollard, and S. L. Thompson, 1993: Influence of subgrid-scale heterogeneity in leaf area index, stomatal resistance, and soil moisture on grid-scale land-atmospheric interactions. J. Climate, 6, 1882-1897.
10. Brock, F., G. Saum, and S. Semmer, 1986: Portable Automated Mesonet II. J. Atmos. Oceanic Technol., 3, 373-582.
11. Chang, J.-T, and P. J. Wetzel, 1991: Effects of spatial variations of soil moisture and vegetation on the evolution of a prestorm environment: A case study. Mon. Wea. Rev., 119, 1368-1390.
12. Cotton, W. R., G. Thompson, and P. W. Mielke Jr., 1994: Real-time mesoscale prediction on workstations. Bull. Amer. Meteor. Soc., 75, 349-362.
13. Cram, J. M., and R. A. Pielke, 1987: The importance of synoptic forcing and mesoscale terrain to a numerical simulation of an orographically-induced system. Proc. Third AMS Conf. on Mesoscale Processes, Vancouver, BC, Canada, Amer. Meteor. Soc. 118-119.
14. _, _, and W. R. Cotton, 1992: Numerical simulation and analysis of a pre-frontal squall line. Part I: Observations and basic simulation results. J. Atmos. Sci., 49, 189-208.
15. Dickinson, R. E., A. Henderson-Sellers, P. J. Kennedy, and M. F. Wilson, 1986: Biosphere-atmosphere transfer scheme for the NCAR Community Climate Model. Tech. Rep. NCAR/TN-275+STR, NCAR, 69 pp. [Available from NSSL, 1313 Halley Circle, Norman, OK 73069.]
16. Dodd, A. V., 1965: Dew point distribution in the contiguous United States. Mon. Wea. Rev., 93, 113-122.
17. Estoque, M. A., 1962: The sea-breeze as a function of the prevailing synoptic situation. J. Atmos. Sci., 19, 244-250.
18. Garrett, A. J., 1982: A parameter study of interactions between convective clouds, the boundary layer, and a forest surface. Mon. Wea. Rev., 110, 1041-1058.
19. Grasso, L. D., 1996: Numerical simulation of the 15 May and 26 April 1991 thunderstorms. Colorado State University Department of Atmospheric Sciences Paper 596, 151 pp. [Available from Colorado State University, Fort Collins, CO 80523.]
20. Hane, C. E., C. L. Ziegler, and H. B. Bluestein, 1993: Investigation of the dryline and convective storms initiated along the dryline: Field experiments during COPS-91. Bull. Amer. Meteor. Soc., 74, 2133-2145.
21. Jones, A. S., 1996: The use of satellite-derived heterogeneous surface soil moisture for numerical weather prediction. Ph.D. dissertation, Colorado State University, 491 pp. [Available from Colorado State University, Fort Collins, CO 80523.]
22. Keyser, D., and R. A. Anthes, 1977: The applicability of a mixedlayer model of the planetary boundary layer to real-data forecasting. Mon. Wea. Rev., 105, 1351-1371.
23. Koch, S. E., and J. McCarthy, 1982: The evolution of an Oklahoma dryline. Part II: Boundary-layer forcing of mesoconvective systems. J. Atmos. Sci., 39, 237-257.
24. Kosta, R. D., and M. J. Suarez, 1992: A comparative analysis of two land surface heterogeneity representations. J. Climate, 5, 1379-1390.
25. Lakhtakia, M. N., and T. T. Warner, 1987: A real-data numerical study of the development of precipitation along the edge of an elevated mixed layer. Mon. Wea. Rev., 115, 156-168.
26. Lanicci, J. M., T. N. Carlson, and T. T. Warner, 1987: Sensitivity of the Great Plains severe-storm environment to soil-moisture distribution. Mon. Wea. Rev., 115, 2660-2673.
27. Lee, T. J., 1992: The impact of vegetation on the atmospheric boundary layer and convective storms. Colorado State University Department of Atmospheric Sciences Paper 509, 137 pp. [Available from Colorado State University, Fort Collins, CO 80523.]
28. Lemeur, R., and N. J. Rosenberg, 1979: Simulating the quality and quantity of short wave radiation within and above canopies. Comparison of Forest Water and Energy Exchange Models, S. Halldin, Ed., International Society for Ecological Modelling, 77-100.
29. Li, B., and R. Avissar, 1994: The impact of spatial variability of land-surface heat fluxes. J. Climate, 7, 527-537.
30. Lyons, W. A., D. A. Moon, C. S. Keen, J. A. Schuh, R. A. Pielke, W. R. Cotton, and R. W. Arritt, 1988: Providing operational guidance for the development of sea breeze thunderstorms at the Kennedy Space Center: An experiment using a mesoscale numerical model. Proc. 15th Conf. on Severe Local Storms, Baltimore, MD, Amer. Meteor. Soc., J125-J132.
31. Mahrt, L., 1991: Boundary layer moisture regimes. Quart. J. Roy. Meteor. Soc., 117, 151-176.
32. McCumber, M. C., and R. A. Pielke, 1981: Simulation of the effects of surface fluxes of heat and moisture in a mesoscale numerical model. Part I: Soil layer. J. Geophy. Res., 86 (C10), 9929-9938.
33. McGinley, J. A., and Y. K. Sasaki, 1975: The role of symmetric instabilities in thunderstorm development on drylines. Preprints, Ninth Conf. on Severe Local Storms, Boston, MA, Amer. Meteor. Soc., 173-180.
34. McGuire, E. L., 1962: The vertical structure of three drylines as revealed by aircraft traverses. National Severe Storms Project Rep., 7, 11 pp. [Available from NCAR, P.O. Box 3000, Boulder, CO 80307.]
35. National Severe Storms Project Staff Members, 1963: Environmental and thunderstorm structures as shown by National Severe Storms Project observations in spring 1960 and 1961. Mon. Wea. Rev., 91, 271-292.
36. Nicholls, M. E., R. A. Pielke, J. L. Eastman, C. A. Finley, W. A. Lyons, C. J. Tremback, R. L. Walko, and W. R. Cotton, 1995: Applications of the RAMS numerical model to dispersion over urban areas. Wind Climate in Cities, J. E. Cermak et al., Eds., Kluwer Academic Publishers, 703-732.
37. Ogura, Y., and Y. Chen, 1977: A life history of an intense mesoscale convective storm in Oklahoma. J. Atmos. Sci., 34, 1458-1476.
38. Parsons, D. B., M. A. Shapiro, R. M. Hardesty, and R. J. Zamora, 1991: The finescale structure of a west Texas dryline. Mon. Wea. Rev., 119, 1242-1258.
39. Pielke, R. A., 1974: A three-dimensional numerical model of the seabreezes over south Florida. Mon. Wea. Rev., 102, 115-139.
40. _, 1984: Mesoscale Meteorological Modeling. Academic Press, 612 pp.
41. _, and M. Segal, 1986: Mesoscale circulations forced by differential terrain heating. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 516-548.
42. _, and R. Avissar, 1990: Influence of landscape structure on local and regional climate. Landscape Ecol., 4, 133-155.
43. _, and Coauthors, 1992: A comprehensive meteorological modeling system-RAMS. Meteor. Atmos. Phys., 49, 69-91.
44. _, T. J. Lee, J. H. Copeland, J. L. Eastman, C. L. Ziegler, and C. A. Finley, 1997: Use of USGS-provided data to improve weather and climate simulations. Ecol. Appl., in press.
45. Pitman, A. J., 1994: Assessing the sensitivity of a land-surface scheme to the parameter values using a single column model. J. Climate, 7, 1856-1869.
46. Pleim, J. E., and A. Xiu, 1995: Development and testing of a surface flux and planetary boundary layer model for application in mesoscale models. J. Appl. Meteor., 34, 16-32.
47. Rust, W. D., R. P. Davies-Jones, D. W. Burgess, R. A. Maddox, L. C. Showell, T. C. Marshall, and D. K. Lauritsen, 1990: Testing a mobile version of a Cross-chain Loran Atmospheric (M-CLASS) Sounding System. Bull. Amer. Meteor. Soc., 71, 173-180.
48. Schaefer, J. T., 1986: The dryline. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 549-570.
49. Segal, M., and R. W. Arritt, 1992: Nonclassical mesoscale circulations caused by surface sensible heat-flux gradients. Bull. Amer. Meteor. Soc., 73, 1593-1604.
50. _, _, C. Clark, R. Rabin, and J. Brown, 1995: Scaling evaluation of the effect of surface characteristics on potential for deep convection over uniform terrain. Mon. Wea. Rev., 123, 383-400.
51. Shaw, B. L., 1995: The effect of soil moisture and vegetation heterogeneity on a Great Plains dryline: A numerical study. Colorado State University Department of Atmospheric Sciences Paper 576, 93 pp. [Available from Colorado State University, Fort Collins, CO 80523.]
52. Smith, C. B., M. N. Lakhtakia, W. J. Capehart, and T. N. Carlson, 1994: Initialization of soil-water content in regional-scale atmospheric prediction models. Bull. Amer. Meteor. Soc., 75, 585-593.
53. Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer Academic Publishers, 666 pp.
54. Sun, W.-Y., and Y. Ogura, 1979: Boundary layer forcing as a possible trigger to a squall-line formation. J. Atmos. Sci., 36, 235-254.
55. _, and C.-C. Wu, 1992: Formation and diurnal variation of the dryline. J. Atmos. Sci., 49, 1606-1618.
56. Tremback, C. J., and R. Kessler, 1985: A surface temperature and moisture parameterization for use in mesoscale models. Proc. Seventh Conf. on Numerical Weather Prediction, Boston, MA. Amer. Meteor. Soc., 355-358.
57. U.S. Department of Commerce and U.S. Department of Agriculture (USDOC/USDA), 1991: Weekly Weather and Crop Bulletin, 78, p. 19.
58. Wallace, J. M., and P. V. Hobbs, 1977: Atmospheric Science: An Introductory Survey. Academic Press, 465 pp.
59. Wetzel, P. J., and J.-T. Chang, 1988: Evapotranspiration from non-uniform surfaces: A first approach for short-term numerical weather prediction. Mon. Wea. Rev., 116, 600-621.
60. Yan, H., and R. A. Anthes, 1988: The effect of variations in surface moisture on mesoscale circulations. Mon. Wea. Rev., 116, 192-208.
61. Zhang, D., and R. A. Anthes, 1982: A high resolution model of the planetary boundary layer-sensitivity tests and comparisons with SESAME-79 data. J. Appl. Meteor., 21, 1594-1609.
62. Ziegler, C. L., and C. E. Hane, 1993: An observational study of the dryline. Mon. Wea. Rev., 121, 1134-1151.
63. _, W. J. Martin, R. A. Pielke, and R. L. Walko, 1995: A modeling study of the dryline. J. Atmos. Sci., 52, 263-285.