290 likes | 482 Views
Stephen Rodriguez, Jr. National Weather Service Chicago, IL. The 2011 Groundhog Day Blizzard: A Synoptic and Mesoscale overview. Introduction. Brief background. Purpose of Study. Synoptic background and forcing mechanisms. Synoptic/ Mesoscale features: Moisture, Forcing, Instability.
E N D
Stephen Rodriguez, Jr. National Weather Service Chicago, IL The 2011 Groundhog Day Blizzard: A Synoptic and Mesoscale overview
Introduction • Brief background. • Purpose of Study. • Synoptic background and forcing mechanisms. • Synoptic/Mesoscale features: Moisture, Forcing, Instability. • Conclusions.
Observed Snowfall Totals CHICAGO
Wind Gusts/Visbys/Lightning 65 STRIKES! 1/4 MILE VISBYS.
Purpose of Study • Synoptic/Mesoscale Overview. • Pattern Recognition/Conceptual Models. • “How to Forecast” Blizzards? • What are we forecasting?
Purpose - NWS Blizzard Definition • Sustained wind or frequent gusts to 35 miles an hour or greater; and • Considerable falling and/or blowing snow (i.e., reducing visibility frequently to less than ¼ mile). • For a period of 3 hours or longer.
Purpose - Blizzard Elements • Heavy snowfall. • Snow efficiency. • Strong winds.
Synoptic Overview 300 MB 02/02/11 00Z
Synoptic Overview 700 MB 02/02/11 00Z
Synoptic Overview 850 MB 02/02/11 00Z
Synoptic Overview SFC 02/02/11 00Z
Synoptic Overview 02/02/00 00Z ROAB KDVN
Low/Isallobaric Component 00Z 03Z 06Z
Well-Mixed Environment 04Z RUC Sounding
Moisture 850 MB Moisture Transport
Moisture TROWAL structure identifiable by 02Z-3Z. CHICAGO
Forcing - Isentropic Lift 22Z/00Z/02Z RUC 290K CHICAGO Persistent isentropic lift from late afternoon through late evening.
Forcing - Frontogenesis RUC 02Z MSN ORD EVV
Instability - EPV RUC 02Z MSN ORD EVV
Instability – CAPE/Lapse Rates NORTH CENTRAL ILLINOIS 04Z RUC Sounding
Snow Efficiency NORTH CENTRAL ILLINOIS 00Z-03Z
Conclusions - Review • Copious amounts of moisture. • Persistent strong forcing due to both synoptic/meso forcing mechanisms. • Instability – an added benefit. • Snow efficiency.
Conclusions – Key Factors • Heavy Snowfall – Yes! • Snow efficiency – Yes! • Strong winds – Yes! Yes! Yes!!!
Conclusions – Lessons Learned • Stick to “base” data. • Pattern Recognition of three elements. • All come together – Blizzard.
Questions? • References: • NOAA/NWS/Storm Prediction Center • Schwartz, 2001.