Simulation of Extreme Wind and Precipitation Patterns Associated with a Squall Line Passage in Southern Ontario on August 2, 2006

Details Simulation of Extreme Wind and Precipitation Patterns Associated with a Squall Line Passage in Southern Ontario on August 2, 2006 Simulation of Extreme Wind and Precipitation Patterns Associated with a Squall Line Passage in Southern Ontario on August 2, 2006

Dec 2008

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008agufm.a13a0228h&link_type=abstract

American Geophysical Union, Fall Meeting 2008, abstract #A13A-0228

Physics

1610 Atmosphere (0315, 0325), 1854 Precipitation (3354)

Scientific paper

In the evening of August 2, 2006, a squall line moved across the southern Ontario cottage country, Canada, from northwest to southeast, spawning at least 8 tornadoes, including two F2 confirmed touchdowns. The damage was extensive, cutting electricity power to more than 175,000 customers and flooding many homes. Some areas experienced more than 100 mm of rainfall. There was extensive wind damage from strong winds and wind gusts of 80 to over 100 km per hour. Using the Canadian operational weather forecast model, GEM-LAM (Global Environmental Multiscale - Limited Area Model), we have simulated the squall line event, in an attempt to highlight at least some of the major mechanisms that produced extreme winds and precipitation associated with the storm. For wind gusts, we employed the physically-based diagnostic parameterization scheme developed by Brasseur (2001), and following Goyette et al. (2003), that allows bringing down to the surface of high momentum air flow in the upper part of the planetary boundary layer. With this parameterization, the model produces results that are within 10-20% of the observed wind gusts. In spring of this year (2008), the cloud microphysical scheme in the model was replaced by the Milbrandt-Yau scheme. For the simulation of the August event, the model produces rainfall rates and accumulated amounts in a range consistent with the observation over the affected region.

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