Poster Session 3A Advancements in Severe Storm Detection, Modeling, and Prediction

Thursday, 25 October 2018: 3:30 PM-5:30 PM
Stowe & Atrium rooms (Stoweflake Mountain Resort )
Host: 29th Conference on Severe Local Storms

Papers:
132
Diurnal Variations in Forecasting Skill of UH-Derived Surrogate Severe Reports

133
Automatic Detection of Funnel Clouds from Pictures By Surveillance Cameras with Deep Learning.
Koji Sassa, Kochi Univ., Kochi, Japan; and R. Honda and Y. Fujii

134
Development of a Machine Learning-Based Tornado Detection Algorithm for the WSR-88D Network
Matthew C. Mahalik, CIMMS, Norman, OK; and K. L. Elmore and B. R. Smith

135
"Perspectives on the Current Understanding and Challenges for Improved Prediction of Supercell Tornado Development"

136
A Look at Some New HRRR Model Variables For Diagnosing Lower Level Storm Rotation and Their Relation to Tornado Potential
Edward J. Szoke, CIRA/Colorado State Univ. and NOAA/Global Systems Division, Boulder, CO; and C. R. Alexander, J. M. Brown, and E. P. James

137
Impact of Increased Resolution on Ensemble Forecasts of Thunderstorm Objects in the US Southeast
John R. Lawson, CIMMS/NSSL, Norman, OK; and C. K. Potvin

138
Deep Learning for Real-Time Storm-Based Tornado Prediction
Ryan A. Lagerquist, CIMMS, Norman, OK; and C. R. Homeyer, A. McGovern, C. K. Potvin, T. Sandmael, and T. M. Smith

139
Factors Contributing to Bias and Variability of Convective and Stratiform Properties with Various Cloud Microphysics Schemes for a Squall Line MCS Case
Jiwen Fan, PNNL, Richland, WA; and B. Han, A. C. Varble, and H. Morrison

140
Dynamical and Thermodynamic Process of Thunderstorms Triggered and Merged by Sea-Breeze Convergence Lines Based on VDRAS Data
Xiaoyuan Yi, Tianjin Meteorological Observatory, Tianjin, China

141
Strengths and Limitations of NSSL's Experimental Warn-on-Forecast System for Ensembles in Forecasting Cyclic Mesocyclogenesis
Kelsey C. Britt, CIMMS/Univ. of Oklahoma, Norman, OK; and P. S. Skinner, P. L. Heinselman, and K. H. Knopfmeier

Handout (3.6 MB)

142
Impacts of UAS Data on Thunderstorm Forecasts for the 28 June 2016 PRECIP Event
George Limpert, Univ. of Nebraska, Lincoln, NE; and A. Houston

143
Predictions of Tornado-like Vortex Embedded in the 8 May 2003 Oklahoma City Tornadic Supercell Initialized from the Sub-Kilometer Analysis Produced By the GSI Based EnVar Data Assimilation System: Methodology and Sensitivity to Horizontal and Vertical Grid Spacing and Physical Parameterizations
Yongming Wang, Univ. of Oklahoma, Norman, OK; and X. Wang

144
Testing New Environmental Proxies for Supercell Tornadogenesis Using HRRR Analyses
Brice E. Coffer, North Carolina State Univ., Raleigh, NC; and M. D. Parker and H. P. Taylor

Handout (2.0 MB)

145
Comparison of Bulk Multi-Category Rimed-Ice Microphysics Parameterization using an Idealized Supercell Storm
Marcus R. Johnson, CAPS/Univ. of Oklahoma, Norman, OK; and Y. Jung, H. Morrison, J. A. Milbrandt, and M. Xue

146
Supercell Predictability: Impacts of Intra-Storm vs. Environmental Initial Condition Spread on Ensemble Forecast Uncertainty
Montgomery L. Flora, Univ. of Oklahoma, CIMMS, NSSL/NOAA, Norman, OK; and C. K. Potvin

147
Impact of GOES-16 Observations on Prediction of High-Impact Convective Weather
Ryan A. Sobash, NCAR, Boulder, CO; and G. Romine and J. Bresch

148
The WRF Lightning Forecast Algorithm: Sensitivities to Microphysics and Other Physics Schemes
Eugene W. McCaul Jr., USRA, Huntsville, AL; and G. Priftis, T. Chronis, J. L. Case, S. R. Dembek, F. Kong, S. J. Goodman, and S. J. Weiss

Handout (988.8 kB)

149
Roadmaps of Convective Storm Attributes as a Function of Environment: Part 1: Updraft Overturning and Rotation Efficiency and Steadiness
Eugene W. McCaul Jr., USRA, Huntsville, AL; and J. C. Kirkpatrick

Handout (5.2 MB)

150
Analysis of Nocturnal Convection Initiation Using Convective-Scale Data Assimilation of Observations Collected during PECAN
James Marquis, Univ. of Colorado, Boulder, CO; and G. Romine, J. Wurman, T. M. Weckwerth, and J. Wilson

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