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Title: Tue 48tornado forecasting


1
Whats ahead in Unit 4?
Tue 4/8 tornado forecasting Wed 4/9 conclude
tornado forecasting intro to MCSs Thu 4/10 MCSs
1 in-class lab (tornado forecasting) Fri
4/11 SEMESTER PROJECT 1-PAGE OVERVIEWS DUE Tue
4/15 MCSs 2 Wed 4/16 MCSs 3 Thu 4/17 derechoes,
flooding, and hailstorms in-class lab (topic
TBD) handout final exam review sheets Mon
4/21 no briefing US severe weather
climatology SEMESTER PROJECT PAPERS DUE Tue
4/22 no briefing in class QA to review for
final exam Wed 4/23 no briefing SEMESTER PROJECT
PRESENTATIONS 1 Thu 4/24 SEMESTER PROJECT
PRESENTATIONS 2 Fri 5/2 FINAL EXAM
2
Basics of tornado forecasting
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Tornadogenesis
  • Tornadogenesis involves rearranging, twisting,
    and stretching vortex lines so that they become
    vertically oriented and packed tightly together
    at the ground
  • Tornadogenesis, if it occurs, is associated with
    the development of the rear-flank downdraft (RFD)
  • The temperature of the RFD seems to be important
    to tornadogenesis RFDs that are excessively cold
    apparently are unfavorable for tornadogenesis

6
Adapted from Markowski et al. (2002)
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The averaged vertical profiles are generally
similar above 1 km in the tornadic and
nontornadic supercell environments. On the
other hand, considerable differences are found
within 1 km of the ground, with environments
associated with significantly tornadic supercells
having substantially larger low-level vertical
wind shear...
Markowski et al. 2003
9
Tornadogenesis
  • Best operational means for discriminating between
    significantly tornadic (i.e., F2 and stronger)
    and nontornadic supercells is to use radar data
    in conjunction with information about the
    near-storm environment
  • low-level shear (e.g., 0-1 km shear vector
    magnitude, 0-1 km SRH)
  • low-level relative humidity (e.g., LCL height)

Nontornadic supercell environments and F0-F1
tornadic supercell environments are
indistinguishable for practical purposes!
10
Tornadic (n939) vs. Non-tornadic (n2305)
Supercell Environments
Observed soundings from 0000 UTC, from within 3
hours and 100 mi of storms
tornadic F2 tornado non-tornadic 65kt
gust/2 hail
Tornadic storms likely
Above line 40 tornadic
Below line 4 tornadic
Tornadic storms unlikely
courtesy of Harold Brooks
11
Shear between the surface and a height that is
50 of the way to the ML parcels EL
SRH over the layer in which parcels have CAPE gt
500 and CIN lt 250
12
Outbreak patterns
Miller type (many key features overlain)
scanned from Doswell (2001)
13
Unfortunately, in many situations, outbreaks are
not so synoptically evident
Jon Davies
14
Mesoscale boundaries
  • Large-scale conditions occasionally support
    significant tornadoes (outbreak days), but more
    commonly, significant tornadoes are only favored
    in relatively small regions where low-level shear
    and/or moisture is locally enhanced

2 June 1995
  • Mesoscale boundaries often enhance low-level
    shear and/or moisture, and many supercells have
    been observed to become tornadic upon interacting
    with such boundaries
  • But many supercells weaken upon encountering
    mesoscale boundariesclearly not all boundaries
    are favorable!

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OFB
17
Mesoscale boundaries
  • Large-scale conditions occasionally support
    significant tornadoes (outbreak days), but more
    commonly, significant tornadoes are only favored
    in relatively small regions where low-level shear
    and/or moisture is locally enhanced

2 June 1995
  • Mesoscale boundaries often enhance low-level
    shear and/or moisture, and many supercells have
    been observed to become tornadic upon interacting
    with such boundaries
  • But many supercells weaken upon encountering
    mesoscale boundariesclearly not all boundaries
    are favorable!

18
Mesoscale boundaries
2 June 1995
19
  • Tornado outbreak pattern recognition
  • Triple point/warm front/stationary front
  • Dryline
  • High Plains upslope
  • Cold front/warm sector
  • Cold core aloft (mini-supercells)
  • Land-falling tropical cyclones

20
  • Triple point/warm front/stationary front

L
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2. Dryline
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L
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Dryline and/or Triple point/warm front/stationary
front VARIATION Northwest flow
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3. High Plains upslope
31
3. High Plains upslope
32
Dewpoints are often lower than in Plains/SE
outbreaks, but
Denver 71/54
Raleigh 82/65
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June 7 2001, 20 UTC
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  • Cold front/warm sector
  • Often, the Miller-type outbreaks

scanned from Doswell (2001)
38
  • Cold front/warm sector
  • Often, the Miller-type outbreaks
  • example Super Outbreak

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4. Cold front/warm sector a. Northeastern US
variation
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4. Cold front/warm sector b. Southeastern US
variation
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5. Cold core aloft (mini-supercells)
Jon Davies
46
Jon Davies
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6. Land-falling tropical cyclones
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WILMA
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0730 UTC
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dry intrusion
Ivan (2004)
56
Ivan (2004)
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