Tornadoes: Increasing our understanding through basic science · 2016-08-05 · • Why do some...
Transcript of Tornadoes: Increasing our understanding through basic science · 2016-08-05 · • Why do some...
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Tornadoes: Increasing our understanding through basic science
Photo by Al PIetrycha
Yvette RichardsonPenn State University
Tornadoes: Understanding the Risks and Providing Early WarningPublic Briefing of the Congressional Hazards Caucus
June 15, 2011Washington, D.C.
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Tornadoes
• What do we know well?• What do we still struggle to understand?• How do we gain new understanding from
basic research?
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Current understanding:Supercell storms
after Lemon and Doswell (1979)
Most strong and nearly all violent tornadoes are associated with supercell storms that have an area of upward motion and two main areas of downward motion
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Current understanding:Supercell storms
Supercells acquire rotation aloft from the spin in the environmentThis is why supercell occurrence follows the jet stream (strong winds at high levels)
Supercells also need warm, moist air at the surface and cold air aloft so that the low-level air becomes buoyant if it gets lifted
Markowski and Richardson (2009)
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winds that change direction and/or speed with heightwarm, moist air underneath cold airthin layer of very warm air between them (allows energy to build up)
nssl.noaa.gov
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Current Understanding:What we know about making a tornado
1) Need to get rotation vertically oriented and get it to the ground(requires a downdraft)
Markowski and Richardson (2009)
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Spin (about the horizontal) can also can be generated by temperature variations associated with a storm’s cool outflow
This can be tilted to develop low-level rotation in supercells.
Current Understanding:The importance of storm-generated spin
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Current Understanding:What we know about making a tornado
2) Need to “Stretch” the rotation(requires getting the rotation underan updraft)
Markowski and Richardson (2009)
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Outstanding questions• Why do some supercells succeed in this process while
others fail?• Why do some tornadoes go on to last a long time while
others quickly die?• What is the relationship between the rotation aloft and
that near the surface?• What are the relative contributions from spin in the
environment and storm-generated spin?– Models suggest storm-generated spin is important, but we know
models have a hard time getting the temperature variations under the storm right because they have a hard time getting the rain and hail distributions right
– Observations of both the winds and the temperatures on all the scales needed (i.e., over the whole storm but also in detail near the tornado) are RARE
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VORTEX2• 10 May – 13 June 2009, 1 May – 15 June 2010
• Largest field project ever to study tornadoes
• Four foci – tornadogenesis– near-ground wind field in tornadoes– relationship between tornadoes, their parent thunderstorms,
and the larger-scale environment– storm-scale NWP, supercell predictability
• Funded by National Science Foundation and National Oceanic and Atmospheric Administration ($10+ M)
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in situ tornado
probes (12) rawinsondes (4)
storm-scale radars (C-band)
UMASS W-band
CIRPAS MWR-05XP (phased
array)
StickNet (24) mobile mesonet (8-10)laser disdrometers and video particle probes UAS
mesocyclone-scale radars (X-band, two dual-pol)
SR1 SR2
DOW6 DOW7
UMASS XPOL NOAA XP
tornado-scale radars (W-, Ka-, X-band)
RapidScan DOW
TTU Ka-band
coordination vehicle
V2 Operations Center (VOC)
in Norman, OK
“Fully nomadic”
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VORTEX2 Highlights
• Data collected on 43 supercells – 13 of these were tornadic during our deployment
• ~30,000 miles driven by each vehicle (times ~50 vehicles = ~1.5 million vehicle-miles > 50 times around the equator)
• ~6800 hotel rooms (~100 participants plus media)—Logistics Coordinator was indispensable
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Photo by Al Pietrycha
5 June 2009near LaGrange, Wyoming DOW7
Radar observations of entire tornado lifecycle
(Radar loop courtesy Joshua Wurman)
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Combining wind and temperature data (an example of what makes VORTEX2 datasets precious)
Radar Reflectivity (color)
Subjective analysis of virtual potential temperature (bold lines)
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Data assimilation for VORTEX2 case:Using the observations to drive the model toward the right solution
Mod
elO
bser
vati
ons
Z = 400 m AGL
ζSlide courtesy Jim Marquis
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Impact of VORTEX2 observations
Computer Modeling
Observations
Theory(equations forthe laws of
physics, chemistry…)
Improved handling of rain and hail to produce more realistic temperature gradients
Analyses of observations lead to new conceptual models
Simplified computer models can be used to isolate particular processes
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Summary• We understand some parts of the tornado problem well,
but others have eluded us owing to deficiencies in the models or in the observations
• Methods of discovery include direct observations, computer modeling, and theory all working together to get the answers; this requires– Supercomputing capabilities– Observational infrastructure
• The ultimate goal of the basic research is to feed into operations to improve watches and warnings → this research-to-operations transfer is strong in the severe storms community
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Thank you!