Severe Weather/Lightning: Operational Perspective
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Transcript of Severe Weather/Lightning: Operational Perspective
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H U N T S V I L L E , A L A B A M A
Severe Weather/Lightning:Operational PerspectiveBrian CarcioneWFO Huntsville, Alabama
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H U N T S V I L L E , A L A B A M A
Introduction
• Through improved modeling, research, etc., short/medium-range prediction of ingredients for severe convective storms has improved greatly– Severe weather: > 1” hail,
> 58 MPH wind gusts, ortornadoes
• Bigger challenges persistin the “near” term (0-6 hr)
SPC Day 4-8 Outlook issued 23 April 2011
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H U N T S V I L L E , A L A B A M A
Near-Term Overview
• Local severe weather operations boil down to anticipation and validation– Anticipation: how will things evolve/change?– Validation: are expected/current conditions
valid/reasonable?• Main questions during severe weather:
– Where & when will storms develop?– How will storm impacts evolve, or how is environment
evolving?– Which storms have the greatest chance of threatening
life and property?
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H U N T S V I L L E , A L A B A M A
Near-Term Overview• Models/analyses like the SPC
Mesoanalysis site or HRRR/RAP are increasingly reliable and useful, but there are limitations (and always will be)– Anticipation, not validation
• Forecasters often seek a “sanity check” of environmental data, often looking at direct observations (balloon data, surface obs, etc.)– Validation, not anticipation
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H U N T S V I L L E , A L A B A M A
Where & when will storms develop?• Indirect:
– CIMSS NearCast• Direct:
– University of Alabama in Huntsville SATCAST– CIMSS Cloud Top Cooling
SATCAST1925 UTC
CTC1945 UTC
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H U N T S V I L L E , A L A B A M A
How will storm impacts evolve?
• CIMSS NearCast• MODIS/VIIRS Air Mass RGB• Assimilation of ABI data into NWP/analyses
16 May 2012 – 1930 UTC
Multiple large hail reports
2130-2200 UTC
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H U N T S V I L L E , A L A B A M A
Which storms have the greatest chance of threatening life/property?
• CIMSS Cloud Top Cooling• Total Lightning Information
– Pseudo-Geostationary Lightning Mapper– Earth Networks Total Lightning Network
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H U N T S V I L L E , A L A B A M A
PGLM - 2 March 2012 (1445 UTC)
Huntsville
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H U N T S V I L L E , A L A B A M A
PGLM - 2 March 2012 (1459 UTC)
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H U N T S V I L L E , A L A B A M A
Future Challenges
• Operational meteorologists must cope with increasing “firehose” of data, while providing more services– New models with increasing resolution, Dual-Pol
Radars (2-3x the base data), GOES-R/JPSS– Decision Support, Social Media, etc.
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H U N T S V I L L E , A L A B A M A
Algorithms & Applications
• Lightning jump algorithm for GLM/ENTLN/LMAs has tremendous potential (albeit with some caveats)
• Other brainstorms:– Thermal boundary detection– Wind/wind shear calculations– Varied lightning safety applications– Assimilation into Warn-On-Forecast
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H U N T S V I L L E , A L A B A M A
Unified Algorithm Concept• What if we put many of the
existing concepts together?– Intermediate step between
Warn-On-Detection (current) and Warn-On-Forecast (future)
– Possibly less expensive computationally than high-res, high-refresh NWP? Available at local WFO?
– Forecaster interactivity: manually start the algorithm on a cell, or interrupt if not feasible
GLM/Lightning Jump (Severe Intensification)
CIMSS NearCast (Thermal Environment, GLM Check)
CIMSS Cloud-Top Cooling (Intensification)
CIMSS NearCast (Thermal Environment)
UAH SATCAST (Initiation, identification/tracking)
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H U N T S V I L L E , A L A B A M A
Closing Thoughts
• Next-gen satellite data has great potential to help with severe weather operations, both anticipation and validation, bridging an important gap between NWP and radar– Algorithms/data need to answer at least one of
the “key questions” mentioned earlier• Research & operations communities must
continue to engage one another to answer the right questions, in the right ways
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H U N T S V I L L E , A L A B A M A
Thank you!Any [email protected]
Acknowledgements:Geoffrey Stano (SPoRT), Kris White and Chris Darden (NWS)