Improved Detection Using Negative Elevation Angles for Mountaintop WSR-88Ds. Part III: Simulations of Shallow Convective Activity over and around Lake Ontario

Rodger A. Brown NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

Search for other papers by Rodger A. Brown in
Current site
Google Scholar
PubMed
Close
,
Thomas A. Niziol NOAA/National Weather Service Forecast Office, Buffalo, New York

Search for other papers by Thomas A. Niziol in
Current site
Google Scholar
PubMed
Close
,
Norman R. Donaldson Meteorological Service of Canada, Toronto, Ontario, Canada

Search for other papers by Norman R. Donaldson in
Current site
Google Scholar
PubMed
Close
,
Paul I. Joe Meteorological Service of Canada, Toronto, Ontario, Canada

Search for other papers by Paul I. Joe in
Current site
Google Scholar
PubMed
Close
, and
Vincent T. Wood NOAA/OAR/National Severe Storms Laboratory, Norman, Oklahoma

Search for other papers by Vincent T. Wood in
Current site
Google Scholar
PubMed
Close
Restricted access

Abstract

During the winter, lake-effect snowstorms that form over Lake Ontario represent a significant weather hazard for the populace around the lake. These storms, which typically are only 2 km deep, frequently can produce narrow swaths (20–50 km wide) of heavy snowfall (2–5 cm h−1 or more) that extend 50–75 km inland over populated areas. Subtle changes in the low-altitude flow direction can mean the difference between accumulations that last for 1–2 h and accumulations that last 24 h or more at a given location. Therefore, it is vital that radars surrounding the lake are able to detect the presence and strength of these shallow storms. Starting in 2002, the Canadian operational radars on the northern side of the lake at King City, Ontario, and Franktown, Ontario, began using elevation angles of as low as −0.1° and 0.0°, respectively, during the winter to more accurately estimate snowfall rates at the surface. Meanwhile, Weather Surveillance Radars-1988 Doppler in New York State on the southern and eastern sides of the lake—Buffalo (KBUF), Binghamton (KBGM), and Montague (KTYX)—all operate at 0.5° and above. KTYX is located on a plateau that overlooks the lake from the east at a height of 0.5 km. With its upward-pointing radar beams, KTYX’s detection of shallow lake-effect snowstorms is limited to the eastern quarter of the lake and surrounding terrain. The purpose of this paper is to show—through simulations—the dramatic increase in snowstorm coverage that would be possible if KTYX were able to scan downward toward the lake’s surface. Furthermore, if KBUF and KBGM were to scan as low as 0.2°, detection of at least the upper portions of lake-effect storms over Lake Ontario and all of the surrounding land area by the five radars would be complete. Overlake coverage in the lower half (0–1 km) of the typical lake-effect snowstorm would increase from about 40% to about 85%, resulting in better estimates of snowfall rates in landfalling snowbands over a much broader area.

Corresponding author address: Dr. Rodger A. Brown, National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. Email: rodger.brown@noaa.gov

Abstract

During the winter, lake-effect snowstorms that form over Lake Ontario represent a significant weather hazard for the populace around the lake. These storms, which typically are only 2 km deep, frequently can produce narrow swaths (20–50 km wide) of heavy snowfall (2–5 cm h−1 or more) that extend 50–75 km inland over populated areas. Subtle changes in the low-altitude flow direction can mean the difference between accumulations that last for 1–2 h and accumulations that last 24 h or more at a given location. Therefore, it is vital that radars surrounding the lake are able to detect the presence and strength of these shallow storms. Starting in 2002, the Canadian operational radars on the northern side of the lake at King City, Ontario, and Franktown, Ontario, began using elevation angles of as low as −0.1° and 0.0°, respectively, during the winter to more accurately estimate snowfall rates at the surface. Meanwhile, Weather Surveillance Radars-1988 Doppler in New York State on the southern and eastern sides of the lake—Buffalo (KBUF), Binghamton (KBGM), and Montague (KTYX)—all operate at 0.5° and above. KTYX is located on a plateau that overlooks the lake from the east at a height of 0.5 km. With its upward-pointing radar beams, KTYX’s detection of shallow lake-effect snowstorms is limited to the eastern quarter of the lake and surrounding terrain. The purpose of this paper is to show—through simulations—the dramatic increase in snowstorm coverage that would be possible if KTYX were able to scan downward toward the lake’s surface. Furthermore, if KBUF and KBGM were to scan as low as 0.2°, detection of at least the upper portions of lake-effect storms over Lake Ontario and all of the surrounding land area by the five radars would be complete. Overlake coverage in the lower half (0–1 km) of the typical lake-effect snowstorm would increase from about 40% to about 85%, resulting in better estimates of snowfall rates in landfalling snowbands over a much broader area.

Corresponding author address: Dr. Rodger A. Brown, National Severe Storms Laboratory, 120 David L. Boren Blvd., Norman, OK 73072. Email: rodger.brown@noaa.gov

Save
  • Battan, L. J., 1973: Radar Observations of the Atmosphere. 3d ed. University of Chicago Press, 324 pp.

  • Brown, R. A., and Torgerson K. L. , 2003: Interpretation of single-Doppler radar signatures in a V-shaped hailstorm: Part I—Evolution of reflectivity-based features. Natl. Wea. Dig., 27 , 314.

    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Wood V. T. , and Sirmans D. , 2000: Improved WSR-88D scanning strategies for convective storms. Wea. Forecasting, 15 , 208220.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Wood V. T. , and Barker T. W. , 2002: Improved detection using negative elevation angles for mountaintop WSR-88Ds: Simulation of KMSX near Missoula, Montana. Wea. Forecasting, 17 , 223237.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Brown, R. A., Steadham R. M. , Flickinger B. A. , Lee R. R. , Sirmans D. , and Wood V. T. , 2005: New WSR-88D volume coverage pattern 12: Results of field tests. Wea. Forecasting, 20 , 385393.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Crum, T. D., and Alberty R. L. , 1993: The WSR-88D and the WSR-88D Operational Support Facility. Bull. Amer. Meteor. Soc., 74 , 16691687.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Donaldson, N. R., Joe P. I. , and Scott J. , 2003: Considerations for the detection of low lying winter weather in the Canadian Weather Radar Network. Preprints, 31st Conf. on Radar Meteorology, Seattle, WA, Amer. Meteor. Soc., 819–822.

  • Ice, R. L., McGehee G. T. , Rhoton R. D. , Saxion D. S. , Warde D. A. , Guenther R. G. , Sirmans D. , and Rachel D. L. , 2005: Radar Operations Center (ROC) evaluation of new signal processing techniques for the WSR-88D. Preprints, 21st Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, P1.4.

  • Keen, C. S., and Lyons W. A. , 1978: Lake/land breeze circulations on the western shore of Lake Michigan. J. Appl. Meteor., 17 , 18431855.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Kessinger, C., Ellis S. , Van Andel J. , Yee J. , and Hubbert J. , 2005: The AP ground clutter mitigation scheme for the WSR-88D. Preprints, 21st Conf. on Interactive Information Processing Systems for Meteorology, Oceanography, and Hydrology, San Diego, CA, Amer. Meteor. Soc., CD-ROM, P1.5.

  • King, P. W. S., Leduc M. J. , Sills D. M. L. , Donaldson N. R. , Hudak D. R. , Joe P. , and Murphy B. P. , 2003: Lake breezes in southern Ontario and their relation to tornado climatology. Wea. Forecasting, 18 , 795807.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Lackmann, G. M., 2001: Analysis of a surprise western New York snowstorm. Wea. Forecasting, 16 , 99116.

  • Lapczak, S., and Coauthors, 1999: The Canadian National Radar Project. Preprints. 29th Int. Conf. on Radar Meteorology, Montreal, QC, Canada, Amer. Meteor. Soc., 327–330.

    • Search Google Scholar
    • Export Citation
  • Niziol, T. A., 1982: A record setting lake effect snowstorm at Buffalo, NY. Natl. Wea. Dig., 7 , 4. 1924.

  • Niziol, T. A., 1987: Operational forecasting of lake effect snowfalls in western and central New York. Wea. Forecasting, 2 , 310321.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Niziol, T. A., 2003: An analysis of satellite-derived Great Lakes surface temperatures in regards to model simulations of lake effect snow. Preprints, 10th Conf. on Mesoscale Processes, Portland, OR, Amer. Meteor. Soc., CD-ROM, P1.9.

  • Niziol, T. A., Snyder W. R. , and Waldstreicher J. S. , 1995: Winter weather forecasting throughout the eastern United States. Part IV: Lake effect snow. Wea. Forecasting, 10 , 6177.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • NRC, 2005: Flash Flood Forecasting over Complex Terrain: With an Assessment of the Sulphur Mountain NEXRAD in Southern California. National Research Council, The National Academies Press, 191 pp.

    • Search Google Scholar
    • Export Citation
  • Peace R. L. Jr., , and Sykes R. B. Jr., 1966: Mesoscale study of a lake effect snowstorm. Mon. Wea. Rev., 94 , 495507.

  • Reinking, R. F., and Coauthors, 1993: The Lake Ontario Winter Storm (LOWS) project. Bull. Amer. Meteor. Soc., 74 , 18281849.

  • Siggia, A. D., and Passarelli R. E. Jr., 2004: Gaussian model adaptive processing (GMAP) for improved ground clutter cancellation and moment calculation. Preprints, Third European Conf. on Radar in Meteorology and Hydrology, Visby, Sweden, Copernicus Gesellschaft, 67–73.

  • Smith, P. L., 1998: On the minimum useful elevation angle for weather surveillance radar scans. J. Atmos. Oceanic Technol., 15 , 841843.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Steiner, M., and Smith J. A. , 2002: Use of three-dimensional reflectivity structure for automated detection and removal of nonprecipitating echoes in radar data. J. Atmos. Oceanic Technol., 19 , 673686.

    • Crossref
    • Search Google Scholar
    • Export Citation
  • USDC, 2001: Missoula Weather Forecast Office provides quality service to its county warning area. Final Inspection Rep. IPE-14225, Office of Inspector General, U.S. Dept. of Commerce, 42 pp. [Available online at http://www.oig.doc.gov/oig/reports/2001/NOAA-IPE-14225-09-2001.pdf.].

  • Wakimoto, R. M., and Wilson J. W. , 1989: Non-supercell tornadoes. Mon. Wea. Rev., 117 , 11131140.

  • Waldstreicher, J. S., 2002: A foot of snow from a 3000-foot cloud: The ocean-effect snowstorm of 14 January 1999. Bull. Amer. Meteor. Soc., 83 , 1922.

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

    • Crossref
    • Search Google Scholar
    • Export Citation
  • Wood, V. T., Brown R. A. , and Vasiloff S. V. , 2003: Improved detection using negative elevation angles for mountaintop WSR-88Ds. Part II: Simulations of the three radars covering Utah. Wea. Forecasting, 18 , 393403.

    • Crossref
    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 184 70 6
PDF Downloads 79 29 4