• Beebe, R. G., and Bates F. C. , 1955: A mechanism for assisting in the release of convective instability. Mon. Wea. Rev., 83 , 110.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Fawbush, E. J., Miller R. C. , and Starrett L. G. , 1951: An empirical method of forecasting tornado development. Bull. Amer. Meteor. Soc., 32 , 19.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Feltz, W. F., and Mecikalski J. R. , 2002: Monitoring high-temporal-resolution convective stability indices using the ground-based atmospheric emitted radiance interferometer (AERI) during the 3 May 1999 Oklahoma–Kansas tornado outbreak. Wea. Forecasting, . 17 , 445455.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Feltz, W. F., Smith W. L. , Knuteson R. O. , Revercomb H. R. , Howell H. B. , and Woolf H. H. , 1998: Meteorological applications of temperature and water vapor retrievals from the ground-based atmospheric emitted radiance interferometer (AERI). J. Appl. Meteor., 37 , 857875.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kocin, P. J., Uccellini L. W. , and Petersen R. A. , 1986: Rapid evolution of a jet streak circulation in a pre-convective environment. Meteor. Atmos. Phys., 35 , 103138.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lee, J. T., and Galway J. G. , 1958: The jet chart. Bull. Amer. Meteor. Soc., 39 , 217223.

  • Markowski, P. M., Rasmussen E. N. , and Straka J. M. , 1998: The occurrence of tornadoes in supercells interacting with boundaries during VORTEX-95. Wea. Forecasting, 13 , 852859.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NCDC, 1999: Storm Data. Vol. 41, No. 5, 371 pp. [Available from National Climatic Data Center, 151 Patton Ave., Asheville, NC 28801-5001.].

    • Search Google Scholar
    • Export Citation
  • Newton, C. W., 1967: Severe convective storms. Advances in Geophysics, Vol. 12, Academic Press, 257–303.

  • Schmit, T. J., Feltz W. F. , Menzel W. P. , Jung J. , Noel A. P. , Heil J. N. , Nelson III J. P. , and Wade G. S. , 2002: Validation and use of GOES sounder moisture information. Wea. Forecasting, 17 , 139154.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Scofield, R. A., and Purdom J. F. W. , 1986: The use of satellite data for mesoscale analyses and forecasting application. Mesoscale Meteorology and Forecasting, P. S. Ray, Ed., Amer. Meteor. Soc., 118–150.

    • Search Google Scholar
    • Export Citation
  • Smith, W. L., Feltz W. F. , Knuteson R. O. , Revercomb H. R. , Howell H. B. , and Woolf H. H. , 1999: The retrieval of planetary boundary layer structure using ground-based infrared spectral radiance measurements. J. Atmos. Oceanic Technol., 16 , 323333.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Thompson, R. L., and Edwards R. , 2000: An overview of environmental conditions and forecast implications of the 3 May 1999 tornado outbreak. Wea. Forecasting, 15 , 682699.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Uccellini, L. W., 1975: A case study of apparent gravity wave initiation of severe convective storms. Mon. Wea. Rev., 103 , 497513.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Uccellini, L. W., and Johnson D. , 1979: The coupling of upper and lower tropospheric jet streaks and implications for the development of severe convective storms. Mon. Wea. Rev., 107 , 682703.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Van Tuyl, A. H., and Young J. A. , 1982: Numerical simulation of nonlinear jet streak adjustment. Mon. Wea. Rev., 110 , 20382054.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Velden, C. S., Hayden C. M. , Nieman S. J. , Menzel W. P. , Wanzong S. , and Goerss J. S. , 1997: Upper-tropospheric winds derived from geostationary satellite water vapor observations. Bull. Amer. Meteor. Soc., 78 , 173195.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Weaver, J. F., 1979: Storm motion as related to boundary-layer convergence. Mon. Wea. Rev., 107 , 612619.

  • Weisman, M. L., 1999: Testimony for Tornadoes: Understanding, Modeling, and Forecasting Supercell Storms before the House Subcommittee on Basic Research,. Committee on Science. 106 Cong., 16 June.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 253 57 7
PDF Downloads 117 43 11

A Satellite Perspective of the 3 May 1999 Great Plains Tornado Outbreak within Oklahoma

Dan BikosCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Search for other papers by Dan Bikos in
Current site
Google Scholar
PubMed
Close
,
John WeaverCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Search for other papers by John Weaver in
Current site
Google Scholar
PubMed
Close
, and
Brian MottaCooperative Institute for Research in the Atmosphere, Colorado State University, Fort Collins, Colorado

Search for other papers by Brian Motta in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

Geostationary Operational Environmental Satellite (GOES) imagery from 3 May 1999 is examined. Synoptic-scale water vapor imagery shows a deepening low-amplitude upper-level trough over the western United States on 3 May, which develops a negative tilt as a jet streak digs south-southeastward over California. The imagery also shows a second jet streak propagating rapidly from Baja California to the southern Great Plains. This feature intensifies as it propagates into the diffluent region on the east side of the trough. Thunderstorms initiate as this jet streak moves over western Oklahoma during the late afternoon. GOES visible imagery shows a north–south cloud boundary over southwestern Oklahoma on 3 May. To the west of this boundary, cumulus cloudiness dominates. To the east, stratocumulus and wave (billow) clouds characterize the low-level cloud field. As the jet streak and associated cirrus propagate over northern Texas, towering cumulus clouds develop and then dissipate. As the cirrus clouds propagate over western Oklahoma, towering cumulus clouds develop and persist. This note discusses important features observed in GOES imagery as it pertains to convective morphology. These features were not adequately resolved by the numerical models but were important in the forecast. The benefits of using satellite imagery in combination with model output and other data are discussed.

Additional affiliation: NOAA/NESDIS/RAMM Team, Fort Collins, Colorado

Corresponding author address: Dan Bikos, Regional and Mesoscale Meteorology team, Cooperative Institute for Research in the Atmosphere, Colorado State University, W. Laporte Avenue, Fort Collins, CO 80523-1375. Email: bikos@cira.colostate.edu

Abstract

Geostationary Operational Environmental Satellite (GOES) imagery from 3 May 1999 is examined. Synoptic-scale water vapor imagery shows a deepening low-amplitude upper-level trough over the western United States on 3 May, which develops a negative tilt as a jet streak digs south-southeastward over California. The imagery also shows a second jet streak propagating rapidly from Baja California to the southern Great Plains. This feature intensifies as it propagates into the diffluent region on the east side of the trough. Thunderstorms initiate as this jet streak moves over western Oklahoma during the late afternoon. GOES visible imagery shows a north–south cloud boundary over southwestern Oklahoma on 3 May. To the west of this boundary, cumulus cloudiness dominates. To the east, stratocumulus and wave (billow) clouds characterize the low-level cloud field. As the jet streak and associated cirrus propagate over northern Texas, towering cumulus clouds develop and then dissipate. As the cirrus clouds propagate over western Oklahoma, towering cumulus clouds develop and persist. This note discusses important features observed in GOES imagery as it pertains to convective morphology. These features were not adequately resolved by the numerical models but were important in the forecast. The benefits of using satellite imagery in combination with model output and other data are discussed.

Additional affiliation: NOAA/NESDIS/RAMM Team, Fort Collins, Colorado

Corresponding author address: Dan Bikos, Regional and Mesoscale Meteorology team, Cooperative Institute for Research in the Atmosphere, Colorado State University, W. Laporte Avenue, Fort Collins, CO 80523-1375. Email: bikos@cira.colostate.edu

Save