Poster Session 1 Severe Local Storms Symposium

Program Chair: C. Alexander , NOAA
Reviewers: John Allen , Central Michigan Univ. ; Tanya Brown , Insurance Institute for Business & Home Safety ; Manda Chasteen , CIMMS ; Julie Demuth , NCAR ; Pamela Heinselman , NSSL ; Jana Houser , Ohio Univ. ; Alicia Klees , Pennsylvania State Univ. ; Kelly Lombardo , Univ. of Connecticut ; Corey Potvin , NOAA/OAR/NSSL, and School of Meteorology, Univ. of Oklahoma

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Tuesday, 14 January 2020

Tuesday | top

8:30 AM-10:00 AM: Tuesday, 14 January 2020


Session 1
Field Observations of Physical Processes to Understand Severe Storms
Location: 258B (Boston Convention and Exhibition Center)
Host: Severe Local Storms Symposium
Chairs: John Allen, Central Michigan Univ.; Pamela Heinselman, NSSL
8:30 AM
1.1
Mesoscale convective systems in nature and in models
Matthew D. Parker, North Carolina State Univ., Raleigh, NC

8:45 AM
1.2
Low-Level Winds in Tornadoes
Karen A. Kosiba, Center for Severe Weather Research, Boulder, CO; and J. Wurman and P. Robinson

9:00 AM
1.3
Targeted Observation by Radars and UAS of Supercells (TORUS): Summary of the 2019 field campaign
Adam L. Houston, Univ. of Nebraska−Lincoln, Lincoln, NE; and B. Argrow, M. C. Coniglio, E. W. Frew, E. N. Rasmussen, C. C. Weiss, and C. L. Ziegler

9:15 AM
1.4
TORUS 2019 Highlights from the TTUKa Mobile Doppler Radars
Christopher C. Weiss, Texas Tech Univ., Lubbock, TX; and A. Schueth and A. L. Houston

9:30 AM
1.5
How Environmental Streamwise Vorticity Modulates the Streamwise Vorticity Current
Alex Schueth, Texas Tech Univ., Lubbock, TX; and C. C. Weiss

9:45 AM
1.6
Spring 2019 Above-Ground Thermodynamic Observations in Convective Storms from Balloon-Borne Probes Acting as Pseudo-Lagrangian Drifters
Elissa A. Bartos, The Pennsylvania State University, University Park, PA; and P. M. Markowski and Y. P. Richardson

10:00 AM-10:30 AM: Tuesday, 14 January 2020


AM Coffee Break (Tuesday)

10:30 AM-12:00 PM: Tuesday, 14 January 2020


Session 2
Modeling of Physical Processes to Understand Severe Storms
Location: 258B (Boston Convention and Exhibition Center)
Host: Severe Local Storms Symposium
Chairs: C. Alexander, NOAA; Corey Potvin, NOAA/OAR/NSSL
10:30 AM
2.1
A 10-m resolution quarter-trillion gridpoint tornadic supercell simulation
Leigh Orf, Univ. of Wisconsin, Madison, WI

10:45 AM
2.2
Evaluating the Effective Inflow Layer and Supercell Updraft Intensity in a Variety of Realistic Environments
Christopher J. Nowotarski, Texas A&M Univ., College Station, TX; and J. M. Peters

11:00 AM
2.3
"Volatility of Tornadogenesis" and Modes of Storm-scale Variability in VORTEX2 Near- and Far-field Environments
Matthew D. Flournoy, Univ. of Oklahoma, Norman, OK; and E. Rasmussen and M. C. Coniglio

11:15 AM
2.4
Quasi-linear Convective Systems over Topographically Complex Coastal Regions
Kelly Lombardo, The Pennsylvania State University, University Park, PA; and F. Wu

11:30 AM
2.5
Influences on Hail Size as Inferred from Hailstone Growth Trajectory Model Calculations
Matthew R. Kumjian, The Pennsylvania State Univ., University Park, PA; and K. Lombardo

11:45 AM
2.6
The Impacts of ‘Business as Usual’ Climate Change on Supercell Thunderstorms
Matthew Gropp, University of North Carolina at Charlotte, Charlotte, NC; and C. E. Davenport

12:00 PM-1:30 PM: Tuesday, 14 January 2020


Lunch Break (Tuesday)

1:30 PM-2:30 PM: Tuesday, 14 January 2020


Session 3
History and Evolution of the Forecasting & Warning Process and its Challenges
Location: 258B (Boston Convention and Exhibition Center)
Host: Severe Local Storms Symposium
Chairs: Julie Demuth, NCAR; Alicia Klees, Pennsylvania State Univ.
1:30 PM
3.1
Generating Probabilistic Severe Timing Information from SPC Outlooks using the HREF
Israel L. Jirak, NOAA/NWS/NCEP/Storm Prediction Center, Norman, OK; and M. S. Elliott, C. D. Karstens, R. S. Schneider, P. T. Marsh, and W. F. Bunting

1:45 PM
3.2
Reducing the Number of Tornado Warnings in Hurricanes while Enhancing Alert Messages
David W. Sharp, NOAA/National Weather Service, Melbourne, FL; and J. Combs and J. Smith

2:00 PM
3.3
Short-term Tornado Prediction via Deep Learning on 3-D Multiscale Data
Ryan A. Lagerquist, CIMMS, Norman, OK; and A. McGovern, C. R. Homeyer, D. J. Gagne II, and T. M. Smith

2:15 PM
3.4
Are Multiday Tornado and Hail Events More Predictable?
Kimberly Hoogewind, CIMMS, Norman, OK; and V. A. Gensini, R. J. Trapp, and H. E. Brooks

2:30 PM-3:00 PM: Tuesday, 14 January 2020


PM Coffee Break (Tuesday)

3:00 PM-4:00 PM: Tuesday, 14 January 2020


Session 4
Next Frontiers of SLS Understanding and Applications of New Tools
Location: 258B (Boston Convention and Exhibition Center)
Host: Severe Local Storms Symposium
Chairs: Manda Chasteen, CIMMS; Kelly Lombardo, The Pennsylvania State University
3:00 PM
4.1
Some good or foolish ideas, with farm names, concerning the future of adaptable radar networks for severe storm observations.
Josh Wurman, Center for Severe Weather Research, Boulder, CO; and K. A. Kosiba and B. Pereira

3:15 PM
4.2
Next Generation Satellite Observations of Severe Local Storms: Can we now detect storm-scale rotation from space?
D. T. Lindsey, NOAA/NESDIS, Fort Collins, CO

3:30 PM
4.3
Convection-Allowing Medium-Range Severe Weather Guidance from a Variable-Resolution Global Ensemble
Craig S. Schwartz, NCAR, Boulder, CO; and R. A. Sobash

3:45 PM
4.4
Robust Observational Support of the Hypothesized Connection Between Rotating Updraft Width and Tornado Intensity
Robert J. Trapp, Univ. of Illinois, Urbana, IL; and G. Marion, M. F. Sessa, D. Chehak, and S. W. Nesbitt

4:00 PM-6:00 PM: Tuesday, 14 January 2020


Formal Poster Viewing Reception (Tues)

Poster Session 1
Severe Local Storms Symposium Poster Session
Location: Hall B1 (Boston Convention and Exhibition Center)
Host: Severe Local Storms Symposium
High-Temporal Resolution Observations of Tornadogenesis Using the Atmospheric Imaging Radar
Casey B. Griffin, University of Nebraska-Lincoln, Lincoln, NE; Univ. of Oklahoma, Norman, OK; and D. J. Bodine, A. Mahre, and R. D. Palmer

Analysis of Tornadogenesis Failure Using Rapid-Scan Data from the Atmospheric Imaging Radar
Kyle Pittman, Northern Illinois University, DeKalb, IL; and A. Mahre, C. B. Griffin, and D. Bodine

On Tornadogenesis in Two Supercells in Oklahoma in the Spring of 2019 as Documented by a Rapid-Scan, X-band, Polarimetric, Mobile Doppler Radar (RaXPol)
Howard B. Bluestein, Univ. of Oklahoma, Norman, OK; and T. A. Greenwood, D. W. Reif, and Z. B. Wienhoff

High-Temporal Resolution X-Band Polarimetric Radar Analysis of the 20 May 2013 Moore, Oklahoma Supercell during Tornadogenesis and Tornado Intensification
Clarice N Dyson, Univ. of Oklahoma, Norman, OK; and D. J. Bodine and R. D. Palmer

Rapid-Scan, Polarimetric Radar Observations of the Dissipation of a Violent Tornado on 9 May 2016 Near Sulphur, Oklahoma
Katherine E. McKeown, Stony Brook University, Stony Brook, NY; and M. M. French, K. S. Tuftedal, H. B. Bluestein, and Z. B. Weinhoff

Storm-scale Polarimetric Radar Signatures Associated with Tornado Dissipation in Supercells
Jacob H Segall, SUNY Stony Brook, East Setauket, NY; and M. French, D. Kingfield, and J. C. Snyder

Observation of Tornadoes Using a Compact Polarimetric X-Band Weather Radar
Toshiaki Takaki, Furuno Electric Co., LTD., Nishinomiya, Japan; and M. Minowa, H. Nakajima, K. Sassa, and V. Chandrasekar

Polarimetric Characteristics of Tornadic Debris Fallout during the28 May 2019 Lawrence/Kansas City, KS Tornado
Erik Wang, Phillips Academy, Andover, MA; and D. J. Bodine, J. M. Kurdzo, J. Barham, C. Bowman, and P. Pietrycha

Observations of ZDR columns in supercells in 2019 by a mobile, dual-polarized, phased array radar
Robin Tanamachi, Purdue Univ., West Lafayette, IN; and A. T. LaFleur, M. Sharma, S. J. Frasier, W. Heberling, C. Wolsieffer, L. Warner, and R. E. Nelson

Observed Bulk Hook Echo Drop Size Distribution Evolution in Supercell Tornadogenesis and Tornadogenesis Failure
Kristofer S. Tuftedal, Stony Brook Univ., SUNY, Stony Brook, NY; and M. M. French, D. M. Kingfield, and J. C. Snyder

Comparison of simulated rain DSDs and polarimetric signatures with disdrometer and radar observations in the 31 March 2016 Southeast-U.S. tornado outbreak during VORTEX-SE
Daniel T. Dawson II, Purdue Univ., West Lafayette, IN; and R. Tanamachi, Y. Jung, J. Labriola, B. J. Putnam, M. Xue, P. L. Heinselman, K. H. Knopfmeier, E. R. Mansell, and L. J. Wicker

Radar climatology of precipitation features in close proximity to supercell tornadic storms
Preston Pangle, Univ. of Alabama, Huntsville, AL; and K. Knupp and B. T. Goudeau

An Updated Mobile Radar Based Climatology of Tornadoes
Josh Wurman, Center for Severe Weather Research, Boulder, CO; and P. Robinson, T. White, and K. A. Kosiba

Weather Radar Analysis of Severe Storms Depth in Southern Brazil and Paraguay
Leonardo Calvetti, UFPEL - Universidade Federal de Pelotas, Pelotas, Brazil; and C. Beneti, P. A. Mello, W. F. Coelho, and J. Báez

Hail Size and Dual-Polarization Doppler on Wheels Radar Observations During RELAMPAGO
Matthew R. Kumjian, The Pennsylvania State Univ., University Park, PA; and P. Maldonado, B. Ribeiro, J. S. Soderholm, N. McCarthy, K. Lombardo, K. A. Kosiba, J. Wurman, L. Machado, and P. Salio

Analysis of Hailstone Physical Properties from the IBHS Field Project 2012-2017
Laura Shedd, The Pennsylvania State University, University Park, PA; and M. R. Kumjian, I. M. Giammanco, T. M. Brown-Giammanco, and R. Maiden

Understanding Hailstone Characteristics and Contributing Factors over the United States Southern Great Plains
Jong-Hoon Jeong, PNNL, Richland, WA; and J. Fan, C. R. Homeyer, and Z. Hou

An extended hail climatology for Sydney, Australia, derived from storm database, radar reflectivity, reanalysis and sounding data.
Kellie R. Cook, Macquarie University, Sydney, NSW, Australia; and K. K. W. Cheung and F. Ji

Impacts of Urbanization on Hail and Tornado Characteristics of a Severe Convective Storm
Yun Lin, PNNL, Richland, WA; and J. Fan, J. H. jeong, and Y. Zhang

TORUS in the Clear Air: Pre-Convection Observations from an Airborne and Mobile Radar Perspective
Anthony E. Reinhart, OU/CIMMS and NOAA/OAR/NSSL, Norman, OK; and E. N. Smith, C. L. Ziegler, and C. C. Weiss

TORUS in the Clear Air: Pre-Convection Observations from a Profile and Transect Perspective
Elizabeth N. Smith, CIMMS, Norman, OK; NSSL, Norman, OK; and A. Rinehart, M. Coniglio, and C. L. Ziegler

Doppler Wind Lidar in the Inflow of Supercells: Synthesis of Observations from Mini-MPEX and TORUS 2019
Michael Coniglio, NSSL, Norman, OK; and E. N. Smith and D. D. Turner

Investigating Windsond Observations in Supercells
Madeline R. Diedrichsen, University of Nebraska-Lincoln, Lincoln, NE; and M. D. Flournoy and E. N. Rasmussen

Influences of Anvil Shading on the Evolution of the Supercell Environment and Updraft Accelerations During the Nocturnal Transition
Marc Bremenkamp, Texas A&M Univ., College Station, TX; and C. J. Nowotarski

Are supercells resistant to entrainment because of their rotation?
John M. Peters, NPS, Pacific Grove, CA; and C. J. Nowotarski and G. L. Mullendore

Testing a Physics-based Model of the Thermodynamic Environment in Supercell Simulation Experiments
Daniel R. Chavas, Purdue Univ., West Lafayette, IN; and D. T. Dawson II

New Perspectives on the Influence of Lifting Condensation Level on Low-Level Outflow and Rotation in Simulated Supercells
Matthew C. Brown, Texas A&M Univ., College Station, TX; and C. J. Nowotarski

Development and Evolution of a High Theta-E Outflow Airmass
Jason M. Keeler, Central Michigan Univ., Mount Pleasant, MI

Properties of Cold Pools Observed during the VORTEX-SE: Meso18-19 Field Campaign
Jessica M. McDonald, Texas Tech Univ., Lubbock, TX; and C. C. Weiss and A. J. Hill

An Investigation of Hydrometeor Latent Cooling Upon Cold Pool Formation, Sustainment, and Properties
Holly M. Mallinson, Univ. of Illinois, Urbana, IL; and S. Lasher-Trapp

Microphysical and Dynamic Effects of Mixed-Phase Hydrometeors in Simulated Mesoscale Convective Storms Using a Bin Microphysics Model with Explicit Melting
Kevin Kacan, NWS, White Lake, MI; and Z. Lebo

Effects of Horizontal Grid Spacing and Inflow Environment on Cyclic Mesocyclogenesis in NSSL's Warn-on-Forecast System (WOFS)
Kelsey C. Britt, CIMMS/Univ. of Oklahoma, Norman, OK; and P. S. Skinner, P. L. Heinselman, and K. H. Knopfmeier

Assimilating Near-Surface Observations from a Portable Mesoscale Network of StickNet Platforms During VORTEX-SE with the High Resolution Rapid Refresh Ensemble
Aaron J. Hill, Colorado State University, Fort Collins, CO; and C. C. Weiss and D. C. Dowell

Using Ensemble Sensitivity Analysis to Identify Storm-Scale Characteristics Associated with Tornadic Potential in High-Resolution Idealized Supercells
Abby L. Hutson, Texas Tech Univ., Lubbock, TX; and C. C. Weiss

An Idealized Modeling Study of the Nontornadic and Tornadic Supercells Intercepted by VORTEX2 on 10 June 2010
Alicia Klees, Pennsylvania State Univ., Univ. Park, PA; and Y. Richardson

Detection and Estimation of Multi-scale Complex Spatiotemporal Processes in Tornadic Supercells from Multiparameter Radar Simulations and Observations
Lawrence Frank, UCSD, La Jolla, CA; and V. L. Galinsky, L. Orf, and D. Bodine

A Numerical Study on a Tornado that Formed in a Quasi Linear Convective System over Kanto Plain in Japan
Eigo Tochimoto, The Univ. of Tokyo, Kashiwa, Japan; and H. Niino

Tornadogenesis within a Supercell Storm near a Meiyu Frontal System in Eastern China: Dynamical Analyses based on a Tornado-Resolving Real-Data Simulation
Shiqi Wang, University of Oklahoma, Norman, OK; Nanjing University of Information Science and Technology, Nanjing, China; and M. Xue and J. Min

Understanding how Complex Terrain Impacts Tornado Dynamics using a Suite of High-Resolution Numerical Simulations
Martin A Satrio, Univ. of Oklahoma, Norman, OK; and D. J. Bodine, A. E. Reinhart, T. Maruyama, and F. T. Lombardo

Turbulence memory’s possible influence on tornado intensity
Aaron Wang, Pennsylvania State University, University Park, PA; and Y. Pan and P. Markowski

Hydraulic jump dynamics in an above anvil cirrus plume in a 50-m resolution simulated supercell
Leigh Orf, Univ. of Wisconsin, Madison, WI; and M. O'Neill

Lagrangian Trajectory Analysis of Severe Convective Storms Using Variable Lossy Compression
Kelton T. Halbert, Univ. of Wisconsin/CIMSS, Madison, WI; and L. Orf

Observational Analysis of Supercells in Landfalling TC 'YAGI' in 2018
Jingyi Wen, Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, China, Beijing, China; and Z. Meng

Mechanism Analysis and Numerical Simulations of a Series Back-Building Supercells
Jianhua Dai, Shanghai Central Meteorological Observatory, Xuhui, Shanghai, China; and M. Sun, Y. CHANG, H. Chen, and J. Zhu

Assessing Anomalous Propagation of Convective Ctorms in Complex Terrain Using a Combined Dual-Doppler and Modeling Approach
Anna del Moral, University of Barcelona, Barcelona, Spain; and T. M. Weckwerth, T. Rigo, M. M. Bell, and M. C. Llasat

Observational Analysis of a Surface-based Bow Echo Transitioning to Elevated Convection Over Complex Terrain
Amanda Penning, South Dakota School of Mines and Technology, Rapid City, SD; and A. J. French

Polarimetric Radar and VDRAS investigation of a Bow Echo after a Squall Line Merged with a Convective Cell
Kun Zhao, Nanjing Univ., Nanjing, China; and W. C. Lee, H. Huang, and A. Zhou

Lift in the Vertical Shear of Southerly Jet: A mechanism of Nocturnal Convection in the Absence of Boundaries
Qi Hu, University of Nebraska, Lincoln, NE; and G. Limpert

The Spatial and Temporal Variations in the Nocturnal Low-level Jet and its Role in the Initiation and Maintenance of Mesoscale Convective Systems
Christopher P. Rattray, University of Oklahoma, Norman, OK; and D. B. Parsons and A. Shapiro

The Sensitivity of Simulated Summer MCS Activity to Select WRF Parameters
Victor A. Gensini, Northern Illinois Univ., DeKalb, IL; and A. M. Haberlie, W. S. Ashley, and R. S. Schumacher

Using DCIN and DCAPE to Evaluate Severe Surface Winds in a Case of Elevated Convection
Paula Sumrall, University of Missouri Columbia, Columbia, MO

A Machine Learning Approach to Severe Thunderstorm Downburst Prediction Across Phoenix, Arizona
Luke LeBel, SUNY, Albany, NY; and P. Iniguez and J. Rogers

A Machine Learning Tool to Provide Probabilities that Thunderstorm Wind Damage Reports are Due to Severe Intensity Winds
Elizabeth Tirone, Iowa State University, Ames, IA; and W. A. Gallus Jr., S. Pal, S. Dutta, R. Maitra, J. L. Newman, and E. S. Weber

"Worst Since Sandy": An Examination of the Straight Line Wind Event in New Jersey on 22 July 2019.
Michael A. Favetta, WeatherPrep, LLC, Cedar Knolls, NJ; and M. Powers

A discussion of Infrasound for tornado monitoring: signal propagation and detection in the context of a field campaign in Northern Alabama
Roger Waxler, Univ. of Mississippi, Univ., MS; and G. Frazier, C. Hetzer, and C. Talmadge

Using Overshooting Top Area to Discriminate Potential for Large, Intense Tornadoes
Geoffrey Marion, Univ. of Illinois, Urbana, IL; and R. J. Trapp and S. W. Nesbitt

Lightning Cessation Characteristics Between Severe and Nonsevere Storms Using Polarimetric Radar Data
Ari D. Preston, Northern Vermont University-Lyndon, Lyndonville, VT

An Analysis of the Performance of the Houston Lightning Mapping Array during a Period of Intense Convection over the Houston Metropolitan Area during Hurricane Harvey
Timothy Logan, Texas A&M Univ., College Station, TX

The Lightning and Dual-Polarization Radar Characteristics of Three Hail Accumulating Thunderstorms
Robinson W Wallace, Atompsheric and Oceanic Sciences at the University of Colorado at Boulder, Boulder, CO; and K. Friedrich, W. Deierling, E. A. Kalina, and P. T. Schlatter

Efficient Tornado Producing QLCS Events: Challenges and Best Practices for Damage Surveys
Thomas Winesett, NWS, Jackson, MS; and D. Lamb and C. Entremont

Observation And Modeling Of Hurricane Maria For Damage Assessment
Rabindra Pokhrel, City College of New York, CUNY, New York, NY; and S. del Cos, J. P. Montoya Rincon, E. Glenn, and J. Gonzalez

The Challenges of Surveying Tornado Damage After a Major Hurricane
Lance Franck, National Weather Service, Tallahassee, FL; and J. P. Camp

Limits using the EF-Scale for non-tornadic wind damage
Jeffry S. Evans, NOAA/NWS/Weather Forecast Office, Dickinson, TX

A Comparison of Three Wind Speed Estimation Techniques Based on Tornado-induced Treefall Patterns
Christopher M. Godfrey, Univ. of North Carolina Asheville, Asheville, NC; and C. D. Karstens, D. Rhee, C. J. Peterson, and F. T. Lombardo

Demonstrating a future application of the wind speed estimation standard to tornadoes
J. G. LaDue, NOAA/NWS/Office of Chief Learning Officer/Warning Decision Training Division, Norman, OK; and M. Levitan, T. Marshall, T. M. Brown-Giammanco, A. womble, J. Wurman, F. T. Lombardo, C. D. Karstens, W. Coulbourne, K. James, and J. Robinson

An Automated Photogrammetric Approach to the Estimation of Near Surface Tornadic Windspeeds
Daniel Butler, Central Michigan University, Mt Pleasant, MI; and J. T. Allen and A. Seimon

Simulating Tornado Probability and Tornado Wind Speed Based on Statistical Models
Ariel E. Cohen, NWS, Miami, FL; and J. B. Cohen, R. L. Thompson, B. T. Smith, B. M. Baerg, W. P. Gargan, A. E. Gerard, and C. J. Schultz

'Impacts of Distance from Nearest Radar, Time of Day, Resident Population, and Season on Severe Warning Performance. Part I: CONUS Perspective'
Janice M. Maldonado-Jaime, NWS, Sioux Falls, SD; and A. P. Ferguson and P. N. Schumacher

Impacts of Distance from Nearest Radar, Time of Day, Resident Population, and Season on Severe Warning Performance. Part II: Regional Analysis
Alex P. Ferguson, NWS, Amarillo, TX; and J. M. Maldonado-Jaime and P. N. Schumacher

Exploring Supportive Analytics in the Performance Evaluation of NWS Tornado Warnings
Gregory M. Schoor, NWS/AFSO/FSD, Norman, OK; and K. D. Skow and J. G. Gibbs

Hazard Services: An Information-Centric Modernization to the National Weather Service Watch/Warning/Advisory Program and Beyond
D. M. Kingfield, CIRES/Univ. of Colorado Boulder and NOAA/OAR/ESRL/GSD, Boulder, CO; and C. V. Dreisbach, K. Goertz, C. Golden, S. Gui, Y. Guo, T. L. Hansen, N. Hardin, T. J. LeFebvre, J. L. Mahoney, K. L. Manross, S. Murphy, D. Nietfeld, J. E. Ramer, R. Weingruber, S. Williams, and S. Zhuo

Immersive Testing & Evaluation of NWS Hazard Services via NRAP (NOAA's Rotational Assignment Program)
Shane Kearns, NWS, Newport, NC

Analyzing the Accuracy of the National Weather Service Central Region Tornado Events in Storm Data and Developing Techniques for Database Improvements
Rodney A. Donavon, NWS, Johnston, IA; and C. Cogil

Climatological Applications of Daily Practically Perfect Severe Weather Hindcasts
Victor A. Gensini, Northern Illinois Univ., DeKalb, IL; and A. M. Haberlie and P. T. Marsh

Environments of High-Incidence Area for Tornadoes in China and a Comparison with Its Counterparts in the United States
Ruilin Zhou, Peking University, Beijing, China; and Z. Meng and L. Bai

On the Prediction of a Violent Tornado Outbreak in Central Oklahoma on 20-21 May 2019
Thomas J. Galarneau Jr., CIMMS, Norman, OK; and A. J. Clark and E. J. Szoke

Identifying Teleconnections between Southeastern US Tornado Outbreaks and Daily Climate Indices
Matthew C. Brown, Texas A&M Univ., College Station, TX; Texas A&M Univ., College Station, TX; and C. J. Nowotarski

Mid-tropospheric patterns and historic tornado outbreaks
Paulina Cwik, The University of Oklahoma, Norman, OK; and M. B. Richman and R. A. McPherson

A systematic way of tornado outbreak classification.
Paulina Cwik, The University of Oklahoma, Norman, OK; and R. A. McPherson and H. Brooks

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