Dryline Bulge Evolution in a Two-Dimensional Mixed-Layer Model

Glenn M. Auslander Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania

Search for other papers by Glenn M. Auslander in
Current site
Google Scholar
PubMed
Close
and
Peter R. Bannon Department of Meteorology, The Pennsylvania State University, University Park, Pennsylvania

Search for other papers by Peter R. Bannon in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

This study examines the diurnal response of a mixed-layer model of the dryline system to localized anomalies of surface heat flux, topography, mixed-layer depth, and inversion strength. The two-dimensional, mixed-layer model is used to simulate the dynamics of a cool, moist layer east of the dryline capped by an inversion under synoptically quiescent conditions. The modeled domain simulates the sloping topography of the U.S. Great Plains. The importance of this study can be related to dryline bulges that are areas with enhanced convergence that may trigger convection in suitable environmental conditions.

All anomalies are represented by a Gaussian function in the horizontal whose amplitude, size, and orientation can be altered. A positive, surface-heat-flux anomaly produces increased mixing that creates a bulge toward the east, while a negative anomaly produces a westward bulge. Anomalies in topography show a similar trend in bulge direction with a peak giving an eastward bulge, and a valley giving a westward bulge. Anomalies in the initial mixed-layer depth yield an eastward bulge in the presence of a minimum and a westward bulge for a maximum. An anomaly in the initial inversion strength results in a westward bulge when the inversion is stronger, and an eastward bulge when the inversion is weak. The bulges observed in this study at 1800 LT ranged from 400 to 600 km along the dryline and from 25 to 80 km across the dryline.

When the heating ceases at night, the entrainment and eastward movement of the line stops, and the line surges westward. This westward surge at night has little dependence on the type of anomaly applied. Whether a westward or eastward bulge was present at 1800 LT, the surge travels an equal distance toward the west. However, the inclusion of weak nocturnal friction reduces the westward surge by 100 to 200 km due to mechanical mixing of the very shallow leading edge of the surge.

All model runs exhibit peaks in the mixed-layer depth along the dryline at 1800 LT caused by enhanced boundary layer convergence and entrainment of elevated mixed-layer air into the mixed layer. These peaks appear along the section of the dryline that is least parallel to the southerly flow. They vary in amplitude from 4 to 9 km depending on the amplitude of the anomaly. However, the surface-heat-flux anomalies generally result in peaks at the higher end of this interval. It is hypothesized that the formation of these peaks may be the trigger for deep convection along the dryline in the late afternoon.

Corresponding author address: Peter R. Bannon, Dept. of Meteorology, The Pennsylvania State University, University Park, PA 16802. Email: bannon@ems.psu.edu

Abstract

This study examines the diurnal response of a mixed-layer model of the dryline system to localized anomalies of surface heat flux, topography, mixed-layer depth, and inversion strength. The two-dimensional, mixed-layer model is used to simulate the dynamics of a cool, moist layer east of the dryline capped by an inversion under synoptically quiescent conditions. The modeled domain simulates the sloping topography of the U.S. Great Plains. The importance of this study can be related to dryline bulges that are areas with enhanced convergence that may trigger convection in suitable environmental conditions.

All anomalies are represented by a Gaussian function in the horizontal whose amplitude, size, and orientation can be altered. A positive, surface-heat-flux anomaly produces increased mixing that creates a bulge toward the east, while a negative anomaly produces a westward bulge. Anomalies in topography show a similar trend in bulge direction with a peak giving an eastward bulge, and a valley giving a westward bulge. Anomalies in the initial mixed-layer depth yield an eastward bulge in the presence of a minimum and a westward bulge for a maximum. An anomaly in the initial inversion strength results in a westward bulge when the inversion is stronger, and an eastward bulge when the inversion is weak. The bulges observed in this study at 1800 LT ranged from 400 to 600 km along the dryline and from 25 to 80 km across the dryline.

When the heating ceases at night, the entrainment and eastward movement of the line stops, and the line surges westward. This westward surge at night has little dependence on the type of anomaly applied. Whether a westward or eastward bulge was present at 1800 LT, the surge travels an equal distance toward the west. However, the inclusion of weak nocturnal friction reduces the westward surge by 100 to 200 km due to mechanical mixing of the very shallow leading edge of the surge.

All model runs exhibit peaks in the mixed-layer depth along the dryline at 1800 LT caused by enhanced boundary layer convergence and entrainment of elevated mixed-layer air into the mixed layer. These peaks appear along the section of the dryline that is least parallel to the southerly flow. They vary in amplitude from 4 to 9 km depending on the amplitude of the anomaly. However, the surface-heat-flux anomalies generally result in peaks at the higher end of this interval. It is hypothesized that the formation of these peaks may be the trigger for deep convection along the dryline in the late afternoon.

Corresponding author address: Peter R. Bannon, Dept. of Meteorology, The Pennsylvania State University, University Park, PA 16802. Email: bannon@ems.psu.edu

Save
  • Blackadar, A. K., 1957: Boundary layer wind maxima and their significance for the growth of nocturnal inversions. Bull. Amer. Meteor. Soc, 38 , 283–290.

    • Search Google Scholar
    • Export Citation
  • Fujita, T. T., 1958: Structure and movement of a dry front. Bull. Amer. Meteor. Soc, 39 , 574–582.

  • Grasso, L. D., 2000: A numerical simulation of dryline sensitivity to soil moisture. Mon. Wea. Rev, 128 , 2816–2834.

  • Jones, P. A., and P. R. Bannon, 2002: A mixed-layer model of the diurnal dryline. J. Atmos. Sci, 59 , 2582–2593.

  • Keyser, D., and R. A. Anthes, 1977: The applicability of a mixed-layer model of the planetary boundary layer to real-data forecasting. Mon. Wea. Rev, 105 , 1351–1371.

    • Search Google Scholar
    • Export Citation
  • Koch, S. E., 1979: Mesoscale gravity waves as a possible trigger of severe convection along a dryline. Ph.D. dissertation, University of Oklahoma, 195 pp. [Available from UMI, 300 North Zeeb Road, P.O. Box 1346, Ann Arbor, MI 48106-1346.].

    • Search Google Scholar
    • Export Citation
  • McCarthy, J., and S. E. Koch, 1982: The evolution of an Oklahoma dryline. Part I: A meso- and subsynoptic-scale analysis. J. Atmos. Sci, 39 , 225–236.

    • Search Google Scholar
    • Export Citation
  • McNider, R. T., and F. J. Kopp, 1990: Specification of the scale and magnitude of thermals used to initiate convection in cloud models. J. Appl. Meteor, 29 , 99–104.

    • Search Google Scholar
    • Export Citation
  • Miller, J. A., T. A. Kovacs, and P. R. Bannon, 2001: A shallow-water model of the diurnal dryline. J. Atmos. Sci, 58 , 3508–3524.

  • Parsons, D. B., M. A. Shapiro, and E. Miller, 2000: The mesoscale structure of a nocturnal dryline and of a frontal-dryline merger. Mon. Wea. Rev, 128 , 3824–3838.

    • Search Google Scholar
    • Export Citation
  • Peckham, S. E., and L. J. Wicker, 2000: The influence of topography and lower-tropospheric winds on dryline morphology. Mon. Wea. Rev, 128 , 2165–2189.

    • Search Google Scholar
    • Export Citation
  • Rhea, J. O., 1966: A study of thunderstorm formation along drylines. J. Appl. Meteor, 5 , 58–63.

  • Schaefer, J. T., 1973: The motion of the dryline. Preprints,. Eighth Conf. on Severe Local Storms, Denver, CO, Amer. Meteor. Soc. 104–107.

    • Search Google Scholar
    • Export Citation
  • Schaefer, J. T., 1974a: A simulative model of dryline motion. J. Atmos. Sci, 31 , 956–964.

  • Schaefer, J. T., 1974b: The life cycle of the dryline. J. Appl. Meteor, 13 , 444–449.

  • Schaefer, J. T., 1986a: The dryline. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 549–572.

  • Schaefer, J. T., 1986b: Severe thunderstorm forecasting: A historical perspective. Wea. Forecasting, 1 , 164–189.

  • Schär, C., and R. B. Smith, 1993: Shallow water flow past isolated topography. Part I. J. Atmos. Sci, 50 , 1373–1400.

  • Schär, C., and P. K. Smolarkiewicz, 1996: A synchronous and iterative flux-correction formalism for coupled transport equations. J. Comput. Phys, 128 , 101–120.

    • Search Google Scholar
    • Export Citation
  • Shaw, B. L., R. A. Pielke, and C. L. Ziegler, 1997: A three-dimensional numerical simulation of a Great Plains dryline. Mon. Wea. Rev, 125 , 1489–1506.

    • Search Google Scholar
    • Export Citation
  • Stull, R. B., 1988: An Introduction to Boundary Layer Meteorology. Kluwer Academic, 666 pp.

  • Sun, W. Y., and C. C. Wu, 1992: Formation and diurnal variation of the dryline. J. Atmos. Sci, 49 , 1606–1619.

  • Tennekes, H., 1973: A model for the dynamics of the inversion above a convective boundary layer. J. Atmos. Sci, 30 , 558–567.

  • Zeman, O., and H. Tennekes, 1977: Parameterization of the turbulent energy budget at the top of the daytime atmospheric boundary layer. J. Atmos. Sci, 34 , 111–123.

    • Search Google Scholar
    • Export Citation
  • Ziegler, C. L., W. J. Martin, R. A. Pielke, and R. Z. Walko, 1995: A modeling study of the dryline. J. Atmos. Sci, 52 , 263–285.

All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 343 215 3
PDF Downloads 100 48 4