Summary of Convective Storm Initiation and Evolution during IHOP: Observational and Modeling Perspective

James W. Wilson National Center for Atmospheric Research,* Boulder, Colorado

Search for other papers by James W. Wilson in
Current site
Google Scholar
PubMed
Close
and
Rita D. Roberts National Center for Atmospheric Research,* Boulder, Colorado

Search for other papers by Rita D. Roberts in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

The data-rich International H2O Project (IHOP_2002) experiment is used to study convective storm initiation and subsequent evolution for all days of the experiment. Initiation episodes were almost evenly divided between those triggered along surface-based convergence lines and elevated initiation episodes that showed no associated surface convergence. The elevated episodes occurred mostly at night, and the surface-based episodes occurred during the afternoon and evening. Surface-based initiations were mostly associated with synoptic fronts and gust fronts and less so with drylines and bores. Elevated initiations were frequently associated with observable convergent or confluent features in the Rapid Update Cycle (RUC) wind analysis fields between 900 and 600 hPa. The RUC10 3-h forecast of the precipitation initiation episodes were correct 44% of the time, allowing a tolerance of 250 km in space and for the forecast being early by one period. However, the accuracy was closely tied to the scale of the initiation mechanism, being highest for synoptic frontal features and lowest for gust fronts.

Gust fronts were a primary feature influencing the evolution of the initiated storms. Almost one-half of the storm complexes associated with initiation episodes did not produce surface gust fronts. Storm systems that did not produce gust fronts most often lived 2–6 h while those that did frequently lived at least 8 h. The largest and longest-lived storm complexes had well-developed intense gust fronts that influenced the propagation of the storm system. The RUC10 was generally not successful in forecasting the evolution and motion of the larger, more intense storm complexes; presumably this was because it did not produce strong gust fronts.

Implications for forecasting convective storm initiation and evolution are discussed.

Corresponding author address: James Wilson, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307. Email: jwilson@ucar.edu

Abstract

The data-rich International H2O Project (IHOP_2002) experiment is used to study convective storm initiation and subsequent evolution for all days of the experiment. Initiation episodes were almost evenly divided between those triggered along surface-based convergence lines and elevated initiation episodes that showed no associated surface convergence. The elevated episodes occurred mostly at night, and the surface-based episodes occurred during the afternoon and evening. Surface-based initiations were mostly associated with synoptic fronts and gust fronts and less so with drylines and bores. Elevated initiations were frequently associated with observable convergent or confluent features in the Rapid Update Cycle (RUC) wind analysis fields between 900 and 600 hPa. The RUC10 3-h forecast of the precipitation initiation episodes were correct 44% of the time, allowing a tolerance of 250 km in space and for the forecast being early by one period. However, the accuracy was closely tied to the scale of the initiation mechanism, being highest for synoptic frontal features and lowest for gust fronts.

Gust fronts were a primary feature influencing the evolution of the initiated storms. Almost one-half of the storm complexes associated with initiation episodes did not produce surface gust fronts. Storm systems that did not produce gust fronts most often lived 2–6 h while those that did frequently lived at least 8 h. The largest and longest-lived storm complexes had well-developed intense gust fronts that influenced the propagation of the storm system. The RUC10 was generally not successful in forecasting the evolution and motion of the larger, more intense storm complexes; presumably this was because it did not produce strong gust fronts.

Implications for forecasting convective storm initiation and evolution are discussed.

Corresponding author address: James Wilson, National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO 80307. Email: jwilson@ucar.edu

Save
  • Barnes, S. L., 1964: A technique for maximizing details in numerical weather map analysis. J. Appl. Meteor, 3 , 396409.

  • Battan, L. J., 1953: Duration of convective radar cloud units. Bull. Amer. Meteor. Soc, 34 , 227228.

  • Benjamin, S. G., G. A. Grell, J. M. Brown, and T. G. Smirnova, 2004a: Mesoscale weather prediction with the RUC hybrid isentropic-terrain-following coordinate model. Mon. Wea. Rev, 132 , 473494.

    • Search Google Scholar
    • Export Citation
  • Benjamin, S. G., and Coauthors, 2004b: An hourly assimilation-forecast cycle: The RUC. Mon. Wea. Rev, 132 , 495518.

  • Bleck, R., and S. G. Benjamin, 1993: Regional weather prediction with a model combining terrain-following and isentropic coordinates. Part I: Model description. Mon. Wea. Rev, 121 , 17701785.

    • Search Google Scholar
    • Export Citation
  • Bluestein, H. W., and M. H. Jain, 1985: Formation of mesoscale lines of precipitation: Severe squall lines in Oklahoma during the spring. J. Atmos. Sci, 42 , 17111732.

    • Search Google Scholar
    • Export Citation
  • Byers, H. R., and R. R. Braham Jr., 1949: The Thunderstorm. U.S. Government Printing Office, 187 pp.

  • Carbone, R. E., J. W. Conway, N. A. Crook, and M. W. Moncrieff, 1990: The generation and propagation of a nocturnal squall line. Part I: Observations and implications for mesoscale predictability. Mon. Wea. Rev, 118 , 2649.

    • Search Google Scholar
    • Export Citation
  • Carbone, R. E., J. D. Tuttle, D. A. Ahijevcy, and S. B. Trier, 2002: Inferences of predictability associated with warm season precipitation episodes. J. Atmos. Sci, 59 , 20332056.

    • Search Google Scholar
    • Export Citation
  • Corfidi, S. F., J. H. Meritt, and J. M. Fritsch, 1996: Predicting the movement of mesoscale convective complexes. Wea. Forecasting, 11 , 4146.

    • Search Google Scholar
    • Export Citation
  • Dai, A., F. Giorgi, and K. E. Trenberth, 1999: Observed and model-simulated diurnal cycles of precipitation over the contiguous United States. J. Geophys. Res, 104 , 63776402.

    • Search Google Scholar
    • Export Citation
  • Dixon, M., and G. Wiener, 1993: TITAN: Thunderstorm identification, tracking, analysis and nowcasting—A radar-based methodology. J. Atmos. Oceanic Technol, 10 , 785797.

    • Search Google Scholar
    • Export Citation
  • Droegemeier, K., and R. Wilhelmson, 1985: Three-dimensional numerical modeling of convection produced by interacting thunderstorm outflows. Part II: Variations in vertical wind shear. J. Atmos. Sci, 42 , 24042414.

    • Search Google Scholar
    • Export Citation
  • Flamant, C., and Coauthors, 2003: The life cycle of a bore event over the US southern Great Plains during IHOP_2002. Preprints, 10th Conf. on Mesoscale Processes, Portland, OR, Amer. Meteor. Soc., CD-ROM, P2.14.

  • Foote, G. B., and C. G. Mohr, 1979: Results of a randomized hail suppression experiment in northeast Colorado. Part VI: Post hoc stratification by storm type and intensity. J. Appl. Meteor, 18 , 15891600.

    • Search Google Scholar
    • Export Citation
  • Fovell, R. G., and Y. Ogura, 1989: Effects of vertical wind shear on numerically simulated multicell storm structure. J. Atmos. Sci, 46 , 31443176.

    • Search Google Scholar
    • Export Citation
  • Fritsch, J. M., and R. E. Carbone, 2004: Improving quantitative precipitation forecasts in the warm season: A USWRP research and development strategy. Bull. Amer. Meteor. Soc, 85 , 955965.

    • Search Google Scholar
    • Export Citation
  • Grell, G., and D. Devenyi, 2002: A generalized approach to parameterizing convection combining ensemble and data assimilation techniques. Geophys. Res. Lett, 29 .1693, doi:10.1029/2002GL015311.

    • Search Google Scholar
    • Export Citation
  • Hane, C. E., 1986: Extratropical squall lines and rain bands. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 359–389.

    • Search Google Scholar
    • Export Citation
  • 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 , 21332145.

    • Search Google Scholar
    • Export Citation
  • Karyampudi, V. M., S. E. Koch, C. Chen, J. W. Rottman, and M. L. Kaplan, 1995: The influence of the Rocky Mountains on the 13–14 April 1986 severe weather outbreak. Part II: Evolution of a prefrontal bore and its role in triggering a squall line. Mon. Wea. Rev, 123 , 14231446.

    • Search Google Scholar
    • Export Citation
  • Keeler, R. J., J. Lutz, and J. Vivekanandan, 2000: S-pol: NCAR's polarimetric Doppler radar. Proc. Int. Geoscience and Remote Sensing Symp., Honolulu, HI, IEEE, 1570–1573.

  • Koch, S. E., and C. A. Ray, 1997: Mesoanalysis of sumertime convergence zones in central and eastern North Carolina. Wea. Forecasting, 12 , 5677.

    • Search Google Scholar
    • Export Citation
  • Koch, S. E., and W. L. Clark, 1999: A non-classical cold front observed during COPS-91: Frontal structure and the process of severe storm initiation. J. Atmos. Sci, 56 , 28622890.

    • Search Google Scholar
    • Export Citation
  • Laing, A. G., and J. M. Fritsch, 1997: The global population of mesoscale convective complexes. Quart. J. Roy. Meteor. Soc, 123 , 389405.

    • Search Google Scholar
    • Export Citation
  • Locatelli, J. D., T. Stoelinga, and P. V. Hobbs, 2002: A new look at the super outbreak of tornadoes on 3 April 1974. Mon. Wea. Rev, 130 , 16331651.

    • Search Google Scholar
    • Export Citation
  • Moncrieff, M. W., and M. J. Miller, 1976: The dynamics and simulation of tropical cumulonimbus and squall lines. Quart. J. Roy. Meteor. Soc, 102 , 373394.

    • Search Google Scholar
    • Export Citation
  • Mueller, C., T. Saxen, R. Roberts, J. Wilson, T. Betancourt, S. Dettling, N. Oien, and J. Yee, 2003: NCAR Auto-Nowcast system. Wea. Forecasting, 18 , 545561.

    • Search Google Scholar
    • Export Citation
  • Newton, C. W., and H. Newton, 1959: Dynamical interactions between large convective clouds and the environment with vertical shear. J. Meteor, 16 , 483496.

    • Search Google Scholar
    • Export Citation
  • Palmen, E., and C. W. Newton, 1969: Atmospheric Circulation Systems, Their Structure and Physical Interpretation. Academic Press, 149–294.

    • Search Google Scholar
    • Export Citation
  • Pitchford, K. L., and J. London, 1962: The low-level jet as related to nocturnal thunderstorms over Midwest United States. J. Appl. Meteor, 1 , 4347.

    • Search Google Scholar
    • Export Citation
  • Purdom, J. F. W., 1976: Some uses of high resolution GOES imagery in the mesoscale forecasting of convection and its behavior. Mon. Wea. Rev, 104 , 14741483.

    • Search Google Scholar
    • Export Citation
  • Ray, P., 1990: Convective dynamics. Radar in Meteorology, D. Atlas, Ed., Amer. Meteor. Soc., 348–390.

  • Rhea, J. O., 1966: A study of thunderstorm formation along drylines. J. Appl. Meteor, 5 , 5863.

  • Rotunno, R., J. B. Klemp, and M. L. Weisman, 1988: A theory for strong, long-lived squall lines. J. Atmos. Sci, 45 , 463485.

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

  • Stensrud, D. J., and J. M. Fritsch, 1993: Mesoscale convective systems in weakly forced large-scale environments. Part I: Observations. Mon. Wea. Rev, 121 , 33263344.

    • Search Google Scholar
    • Export Citation
  • Szoke, E. J., J. Brown, and B. Shaw, 2004: Examination of the performance of several mesoscale models for convective forecasting during IHOP. Preprints, 20th Conf. on Weather Analysis and Forecasting, Seattle, WA, Amer. Meteor. Soc., CD-ROM, J13.6.

  • Thorpe, A. J., M. J. Miller, and M. W. Moncrieff, 1982: Two-dimensional convection in nonconstant shear: A model of midlatitude squall lines. Quart. J. Roy. Meteor. Soc, 108 , 739762.

    • Search Google Scholar
    • Export Citation
  • Wallace, J. M., 1975: Diurnal variations in precipitation and thunderstorm frequency over the conterminous United States. Mon. Wea. Rev, 103 , 406419.

    • Search Google Scholar
    • Export Citation
  • Weckwerth, T. M., and Coauthors, 2004: An overview of the International H2O Project (IHOP_2002) and some preliminary highlights. Bull. Amer. Meteor. Soc, 85 , 253277.

    • Search Google Scholar
    • Export Citation
  • Weckwerth, T. M., C. R. Pettet, F. Fabry, S. Park, and J. W. Wilson, 2005: Radar refractivity retrieval: Validation and application to short-term forecasting. J. Appl. Meteor, 44 , 285300.

    • Search Google Scholar
    • Export Citation
  • Weisman, M. L., and J. B. Klemp, 1982: The dependence of numerically simulated convective storms on vertical wind shear and buoyancy. Mon. Wea. Rev, 110 , 504520.

    • Search Google Scholar
    • Export Citation
  • Weisman, M. L., and R. Rotunno, 2004: “A theory for long-lived squall lines” revisited. J. Atmos. Sci, 61 , 361382.

  • Weisman, M. L., J. B. Klemp, and R. Rotunno, 1988: Structure and evolution of numerically simulated squall lines. J. Atmos. Sci, 45 , 19902013.

    • Search Google Scholar
    • Export Citation
  • Weisman, M. L., W. C. Skamarock, and J. B. Klemp, 1997: The resolution dependence of explicitly modeled convective systems. Mon. Wea. Rev, 125 , 527548.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. W., and W. E. Schreiber, 1986: Initiation of convective storms by radar-observed boundary layer convergent lines. Mon. Wea. Rev, 114 , 25162536.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. W., and D. L. Megenhardt, 1997: Thunderstorm initiation, organization and lifetime associated with Florida boundary layer convergence lines. Mon. Wea. Rev, 125 , 15071525.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. W., T. M. Weckwerth, J. Vivekanandan, R. M. Wakimoto, and R. W. Russell, 1994: Boundary-layer clear-air echoes: Origin of echoes and accuracy of derived winds. J. Atmos. Oceanic Technol, 11 , 11841206.

    • Search Google Scholar
    • Export Citation
  • Wilson, J. W., R. E. Carbone, J. D. Tuttle, and T. D. Keenan, 2001: Tropical island convection in the absence of significant topography. Part II: Nowcasting storm evolution. Mon. Wea. Rev, 129 , 16371655.

    • Search Google Scholar
    • Export Citation
  • Ziegler, C. L., and E. N. Rasmussen, 1998: The initiation of moist convection at the dryline: Forecasting issues from a case study perspective. Wea. Forecasting, 13 , 11061131.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 1188 410 31
PDF Downloads 755 239 11