The High-Shear, Low-CAPE SHERB parameter and its evaluation Keith D. Sherburn Department of Marine, Earth, and Atmospheric Sciences North Carolina State.

Slides:



Advertisements
Similar presentations
Central North Carolina Tornadoes from the 16 April 2011 Outbreak Matthew Parker 1, Jonathan Blaes 2, Gary Lackmann 1, and Sandra Yuter 1 1 North Carolina.
Advertisements

Radar Climatology of Tornadoes in High Shear, Low CAPE Environments in the Mid-Atlantic and Southeast Jason Davis Matthew Parker North Carolina State University.
Storm Prediction Center Highlights NCEP Production Suite Review December 3, 2013 Steven Weiss, Israel Jirak, Chris Melick, Andy Dean, Patrick Marsh, and.
The 4 Sep 2011 Tornado in Eastern New York: An Example for Updating Tornado Warning Strategies Brian J. Frugis NOAA/NWS Albany, NY NROW XIII 2-3 November.
Identifying key features to predict significant severe weather outbreaks in the northeastern U.S. Neil A. Stuart NOAA/NWS Albany NY NROW XIII 3 November.
WSR-88D Signatures Associated with One Inch Hail in the Southern Plains Dennis E. Cavanaugh Jessica A. Schultz National Weather Service Weather Forecast.
NC STATE UNIVERSITY Matthew D. Parker North Carolina State Univ. Raleigh, NC CSTAR workshop: High-shear, low-CAPE (“HSLC”) tornadoes/sig. severe introduction.
A Forecasting Success A negatively tilting mid level trough approaching North Carolina, combined with strong instability and increasing deep layer shear,
A Spatial Climatology of Convection in the Northeast U.S. John Murray and Brian A. Colle National Weather Service, WFO New York NY Stony Brook University,
June 16-18, 2014 Violent Tornado Outbreak Meteorologist Quincy Vagell.
Mike Evans / NWS Binghamton, NY. Outline Large-scale pattern / meso-analysis Radar data High resolution model output Summary.
A Study on Convective Modes Associated with Tornadoes in Central New York and Northeast Pennsylvania Timothy W. Humphrey 1 Michael Evans 2 1 Department.
Kari Murray.  This article is extending on a 10-year climatological study done by Rose et al.  Rose et al. found that tornadoes most commonly occur.
Dr. Scott M. Rochette Department of the Earth Sciences The College at Brockport.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
Warm-Season Lake-/Sea-Breeze Severe Weather in the Northeast Patrick H. Wilson, Lance F. Bosart, and Daniel Keyser Department of Earth and Atmospheric.
A Diagnostic Analysis of a Difficult- to-Forecast Cutoff Cyclone from the 2008 Warm Season Matthew A. Scalora, Lance F. Bosart, Daniel Keyser Department.
6/26/2015 RUC Convective Parameters and Upscale Events in Southern Ontario Mike Leduc Environment Canada.
6/26/2015 Examination of the low level polarimetric radar parameters associated with the Aug southern Ontario tornadic supercells Mike Leduc Sudesh.
Tornado Detection Algorithm (TDA) By: Jeffrey Curtis and Jessica McLaughlin.
ASSESSING THE IMPACT OF COLLABORATIVE RESEARCH PROJECTS ON NWS PERFORMANCE Jeff Waldstreicher Scientific Services Division – Eastern Region Northeast Regional.
The 4 August 2004 Central Pennsylvania Severe Weather Event – Environmental and Topographical Influences on Storm Structure Evolution Joe Villani NOAA/NWS,
A Spatial Climatology of Convection in the Northeast U.S. John Murray and Brian A. Colle Stony Brook University Northeast Regional Operational Workshop.
Using Short Range Ensemble Model Data in National Fire Weather Outlooks Sarah J. Taylor David Bright, Greg Carbin, Phillip Bothwell NWS/Storm Prediction.
© Craig Setzer and Al Pietrycha Supercell (mesocyclone) tornadoes: Supercell tornado environments Developed by Jon Davies – Private Meteorologist – Wichita,
Lightning and Tropical Tornadogenesis A Case Study of Tropical Storm Lee (2011) Zachary Hargrove The University of North Carolina at Asheville.
Printed by Investigating Rapid Storm Intensification Mechanisms Including the Role of Storm Mergers in the 22 May 2011 Joplin, MO.
Verification of the Cooperative Institute for Precipitation Systems‘ Analog Guidance Probabilistic Products Chad M. Gravelle and Dr. Charles E. Graves.
Mike Evans NWS / WFO BGM. CSTAR V – Severe convection in scenarios with low-predictive skill SUNY Albany researchers are examining SPC forecasts and associated.
Reanalysis of Southern New England Tornadoes To Improve Warning Verification Daniel Brook, Lyndon State College* Joseph DelliCarpini, NOAA/NWS Taunton,
National Weather Service Weather Forecast Office – Taunton, MA (BOX)
A Study on the Environments Associated with Significant Tornadoes Occurring Within the Warm Sector versus Those Occurring Along Boundaries Jonathan Garner.
High-Resolution RUC CAPE Values and Their Relationship to Right Turning Supercells By: Andy Mair Mentor: Dr. William A. Gallus Jr. Department of Geological.
Christopher J. Schultz 1, Walter A. Petersen 2, Lawrence D. Carey 3* 1 - Department of Atmospheric Science, UAHuntsville, Huntsville, AL 2 – NASA Marshall.
“Effects of Pacific Sea Surface Temperature (SST) Anomalies on the Climate of Southern South Carolina and Northern Coastal Georgia ” Whitney Albright Joseph.
Improving the Forecasting of High Shear, Low CAPE Severe Weather Environments Keith Sherburn and Jason Davis Department of Marine, Earth, and Atmospheric.
Improving the Forecasting of High Shear, Low CAPE Severe Weather Environments Keith Sherburn and Jason Davis Department of Marine, Earth, and Atmospheric.
NC STATE UNIVERSITY Matthew D. Parker North Carolina State Univ. Raleigh, NC CSTAR/CIMMSE: High-shear, low-CAPE (“HSLC”) tornadoes and sig. severe project.
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.
Meteo 3: Chapter 14 Spawning severe weather Synoptically-forced storms Read Chapter 14.
Quasi-Linear Convective System Tornado Warnings
Severe Convective Storms An Overview  Doswell C.A. III, 2001: Severe Convective Storms – An Overview  Severe Convective Storms, Meteor. Monogr., 28,
An Examination of “Parallel” and “Transition” Severe Weather/Flash Flood Events Kyle J. Pallozzi and Lance F. Bosart Department of Atmospheric and Environmental.
Spatial Verification Methods for Ensemble Forecasts of Low-Level Rotation in Supercells Patrick S. Skinner 1, Louis J. Wicker 1, Dustan M. Wheatley 1,2,
Nicholas Carletta Mentors: William Gallus, Michael Fowle, and Daniel Miller.
Summer Tornadoes – NWA 2015 Statistical Severe Convective Risk Assessment Model (SSCRAM) (Hart & Cohen, 2015) SPC Mesoanalysis Data Every hour from
Tornado Warning Skill as a Function of Environment National Weather Service Sub-Regional Workshop Binghamton, New York September 23, 2015 Yvette Richardson.
Statistical Severe Convective Risk Assessment Model (SSCRAM) SPC Mesoanalysis Data every hour from (Bothwell et al. 2002) + CG NLDN Lightning.
A Review of the March 28, 2007 Tornado Event Teresa Keck NWS North Platte, Nebraska Courtesy of Mike Hollingshead.
Applied Meteorology Unit 1 High Resolution Analysis Products to Support Severe Weather and Cloud-to-Ground Lightning Threat Assessments over Florida 31.
A Rare Severe Weather and Tornado Event in Central New York and Northeast Pennsylvania: July 8, 2014 Presented by Mike Evans 1.
Examining the Role of Mesoscale Features in the Structure and Evolution of Precipitation Regions in Northeast Winter Storms Matthew D. Greenstein, Lance.
SPC Mesoscale Analysis (aka “sfcOA”) Performance and Validation Efforts Steven Weiss, Israel Jirak, Andy Dean, Greg Carbin, Phillip Bothwell, and Corey.
AN INDEX FOR ANTICIPATING EXCESSIVE PRECIPITATION WITH ELEVATED THUNDERSTORMS Alzina Foscato and Patrick Market Dept. of Soil, Environmental & Atmospheric.
Kenneth R. Cook James Caruso Mickey McGuire National Weather Service, Wichita, KS.
Environmental Features Discriminating Between High Shear/Low CAPE Severe Convection and Null Events Keith Sherburn Matthew Parker North Carolina State.
Challenges in Convective Storm Prediction for the Coastal-Urban New York City-Long Island Brian A. Colle 1, Kelly Lombardo 2, John Murray 3, and Harrison.
Severe Weather Forecasting: A Western North Carolina Case Study
SO441 Lesson 10: Tornadoes Week 15.
Michael K. Tippett1,2, Adam H. Sobel3,4 and Suzana J. Camargo4
A Real-Time Automated Method to Determine Forecast Confidence Associated with Tornado Warnings Using Spring 2008 NWS Tornado Warnings John Cintineo Cornell.
Administration through the Hollings Scholarship Program
Michael L. Jurewicz, Sr. and Christopher Gitro
CAE Tornado Cases Hunter Coleman Anthony Petrolito Michael Cammarata
Bow Echo Workshop March 2017
William Flamholtz, Brian Tang, and Lance Bosart
Improving Tornado Detection and
Differences Between High Shear / Low CAPE Environments in the Northeast US Favoring Straight-Line Damaging Winds vs Tornadoes Michael E. Main, Ross A.
Tropical Cyclone Supercells and Tornadoes: Gaps in the Knowledge Base
Supercell tornado environments
Presentation transcript:

The High-Shear, Low-CAPE SHERB parameter and its evaluation Keith D. Sherburn Department of Marine, Earth, and Atmospheric Sciences North Carolina State University Research to Operations Webinar October 24, 2014

Tuesday posters, 3:00-4:15pm (Sessions 5 & 6): –“Synoptic Influence on High Shear, Low CAPE Convective Events”, Jessica R. King and M. D. Parker –“On the usage of composite parameters in High-Shear, Low- CAPE environments”, Keith D. Sherburn and M. D. Parker Wednesday, 4:45pm (Session 12B): –“High-Shear, Low-CAPE environments: What we know and where to go next”, Keith D. Sherburn and M. D. Parker 2 For those attending SLS…

High-shear, low-CAPE (HSLC) environments: second “key subclass” of severe weather (Schneider et al. 2006) Over half of significant or violent tornadoes (EF2+) associated with HSLC Relatively high number of missed events and false alarms Few operational or modeling studies 3 Background

Typical Features Cool season/overnight Strongly-forced Low LCLs Low-level instability Low-level jet QLCS or mini- supercells Spatially compact Transient rotation Little lightning Credit Mike Strickler, WFO Raleigh Clark (2009)Lane and Moore (2006) Davis and Parker (2014) Sherburn and Parker (2014)

Credit Jason Davis

Supercell Mesocyclones (9 tor., 13 nontor.) QLCS Mesovortices (17 tor., 12 nontor.) Only vortices within 60 km of the radar Statistically significant differences No statistically significant differences Differences mostly vanish aloft Davis and Parker (2014)

Statistically significant differences Davis and Parker (2014)

Supercell Reflectivity Signatures Davis and Parker (2014)

QLCS Reflectivity Signatures Davis and Parker (2014)

Credit Jason Davis

11 SHERB Parameter

12 Maximum TSS of Composite Parameters by Geographic Region

13 SHERB Distributions

SHERBS3 Availability for Forecasters AWIPS-1 Volume Browser addition code & instructions (AWIPS-2 code under development) AWIPS-1 and AWIPS-2 GFE tool coding & instructions Real-time SHERB plots from NC State Real-time RAP – Real-time NAM – Real-time GFS – SPC SHERB mesoscale analysis plots Nationwide SHERBS3 – Nationwide SHERBE – SHERB is expected to be added to Bufkit in an upcoming release

How not to use the SHERB To forecast convection Must be used with a confident forecast of convection All data points used to develop the SHERB were associated with either severe or non-severe convection Therefore, cannot be used to forecast convection! Where convection is not expected Values potentially above guidance threshold where convection will not occur In isolation Composite parameters (e.g., STP, VGP) still exhibit skill, though potentially at lower values than in high-CAPE environments Credit Jonathan Blaes

SHERB Feedback HSLC “One Stop Shop”

SHERB Optimization Continuing to test different formulations of the SHERB Statistical and observational tests New combinations of parameters Operational tests

Davis and Parker (2014), “Radar Climatology of Tornadic and Non-Tornadic Vortices in High-Shear, Low-CAPE Environments in the Mid-Atlantic and Southeastern U.S.” Sherburn and Parker (2014), “Climatology and Ingredients of Significant Severe Convection in High Shear, Low CAPE Environments” Both in Weather and Forecasting (August 2014) HSLC CSTAR Articles

CSTAR Program NOAA Grant NA10NWS AMS/NOAA NWS Graduate Fellowship AMS/NASA Earth Science Graduate Fellowship Program NSF Grant AGS WFO Collaborators Storm Prediction Center Acknowledgements 19

Clark, M. R., 2009: The southern England tornadoes of 30 December Atmos. Res., 93, Dean, A. R., and R. S. Schneider, 2008: Forecast challenges at the NWS Storm Prediction Center relating to the frequency of favorable severe storm environments. Preprints, 24th Conf. on Severe Local Storms, Savannah, GA, Amer. Meteor. Soc., 9A.2. Dean, A. R., and R. S. Schneider, 2012: An examination of tornado environments, events, and impacts from Preprints, 26th Conf. on Severe Local Storms, Nashville, TN, Amer. Meteor. Soc., P60. Lane, J. D., and P. D. Moore, 2006: Observations of a non-supercell tornadic thunderstorm from terminal Doppler weather radar. 23rd Conf. on Severe Local Storms, St. Louis, MO, Amer. Meteor. Soc., P4.5. Schneider, R. S., A. R. Dean, S. J. Weiss, and P. D. Bothwell, 2006: Analysis of estimated environments for 2004 and 2005 severe convective storm reports. Preprints, 23rd Conf. on Severe Local Storms, St. Louis, MO, Amer. Meteor. Soc., 3.5. References 20

Contact Information Webinar Presenter –Keith Sherburn Principal Investigator –Dr. Matthew Parker NWS contributors –Jason Davis (BMX) –Justin Lane (GSP) –Jonathan Blaes (SOO RAH)