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A “Survey” of Tornadoes and their Environments in the WFO Sterling, VA Forecast Area Matthew R. Kramar Senior Forecaster, WFO LWX Kyle M. Olmstead Student.

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Presentation on theme: "A “Survey” of Tornadoes and their Environments in the WFO Sterling, VA Forecast Area Matthew R. Kramar Senior Forecaster, WFO LWX Kyle M. Olmstead Student."— Presentation transcript:

1 A “Survey” of Tornadoes and their Environments in the WFO Sterling, VA Forecast Area Matthew R. Kramar Senior Forecaster, WFO LWX Kyle M. Olmstead Student Volunteer, WFO LWX

2 Motivation Provide guidance to forecasters on favorable synoptic patterns for tornadoes in the WFO LWX forecast area Update local graphics to reflect recent geographical and temporal distribution of tornadoes by tornadic storm type

3 Methodology Compiled dataset of tornado events from 1992-2009 (WSR-88D era at WFO LWX) Stratified reports by storm mode based on inspection of Level II data

4 Methodology Stratification of tornadoes by storm mode: –Mesocyclonic –Linear/Quasi-Linear Convective System Sub-stratified into linear and QLCS based on QLCS definition by Coniglio et al. (2007) –Other Disorganized, non-mesocyclonic cells, waterspout/landspout type tornado –Tropical/Tropical remnant system –No Level II data available

5 Methodology Stratification of tornadoes by storm mode: –Considered only mesocyclonic and linear/QLCS tornadoes Unusual juxtaposition of shear/instability in remnant tropical environments Potentially important role of sub-synoptic conditions in landspout/waterspout tornado development

6 Distribution by Month (1992-2009)

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8 0 1 2 3 4 5 67 8 9 10 11 12 13 Number of Days of Tornado Occurrence (1992-2009)

9 0 1 2 3 4 5 6 Number of Days of Mesocyclonic Tornado Occurrence

10 0 1 2 3 4 5 6 Number of Days of Linear/QLCS Tornado Occurrence

11 Methodology Constructed synoptic composites based upon tornadic storm mode –NCEP/NCAR Reanalysis 2.5° x 2.5° lat/lon grid 6-hourly data Lose mesoscale details Seasonal impact on thermodynamic aspects? –Chose 6-hour synoptic time closest to and preceding tornado event

12 Compositing Variables –Geopotential Height –Zonal Wind –Meridional Wind –Vector Wind –Sea Level Pressure –Relative Humidity –Temperature Height Levels (mb) –250, 500, 700, 850, 925, Surface –N.B. Be careful of the color scales (no user control over this)

13 Mesocyclonic 250mb

14 Mesocyclonic 500mb

15 Mesocyclonic 700mb

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18 Mesocyclonic 850mb

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21 Mesocyclonic 925mb

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24 Mesocyclonic Surface

25 QLCS 250mb

26 QLCS 500mb

27 QLCS 700mb

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30 QLCS 850mb

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33 QLCS 925mb

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36 QLCS Surface

37 MesocyclonicQLCS COMPARISONS

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39 `

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42 ~5.55 C/km~5.74 C/km

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50 Upper Level Features Mesocyclonic –Relatively lower- amplitude, neutral to positively tilted shortwave trough over Upper Midwest QLCS –Relatively higher- amplitude, negatively tilted shortwave trough over western Great Lakes region

51 Surface Features Mesocyclonic –Surface low pressure centered over western PA –Moist, warm sector over entire forecast area QLCS –Surface low pressure centered over northern Michigan –Negatively tilted surface trough encroaching on forecast area –Moist airmass along and east of Blue Ridge

52 Wind Field Features Mesocyclonic –Right entrance region of upper jet –Zonal 850mb speed maximum across Carolinas (relative southward position) –Balanced dipole in meridional component of 700mb, 850mb, 925mb winds –Relatively weaker wind speeds QLCS –Left exit region of upper jet –Zonal 850mb speed maximum across central Virginia (relative northward position) –Positive bias to structure of 700mb, 850mb, 925mb meridional wind field –Relatively stronger wind speeds

53 Thermodynamic Features Mesocyclonic –Steeper lapse rates –Slightly lower relative humidity (owing to heating of warm sector?) –Relatively warmer low-level temperatures owing to seasonal aspect of event distribution? QLCS –Weaker lapse rates –Slightly higher relative humidity (owing to cloud cover in strongly forced environment?) –Relatively cooler low-level temperatures owing to seasonal aspect of event distribution?

54 Questions/References QUESTIONS and COMMENTS? email: matthew.kramar@noaa.gov Coniglio, Michael C., Harold E. Brooks, Steven J. Weiss, Stephen F. Corfidi, 2007: Forecasting the Maintenance of Quasi-Linear Mesoscale Convective Systems. Wea. Forecasting, 22, 556- 570. Kalnay, E. and Coauthors, 1996: The NCEP/NCAR Reanalysis 40-year Project. Bull. Amer. Meteor. Soc., 77, 437-471. National Climatic Data Center, 2010: NCDC NEXRAD Data Inventory. [Database Online] National Climatic Data Center, 2010: NCDC Storm Event Archive. [Database Online]


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