A096
Understanding and Modeling of Mesoscale and Severe Local Convective Storm Processes
Session ID#: 159810
Session Description:
Convective storm systems are of great importance: at the mesoscale, for their role in the hydrological cycle and global circulation, and at the local scale, for their production of hazardous convective weather such as hail, flash flooding, damaging winds, and tornadoes. The physical understanding of the factors impacting initiation, upscale growth, intensification, and evolution of these systems remains incomplete and limits our predictive ability.
This session invites recent studies that use theory, observations, and/or model simulations at various spatiotemporal scales that aim to improve our understanding, parameterization, and predictability of convective systems. Efforts that investigate storm structure and dynamics, physical factors contributing to storm development, interactions with large-scale environments, and responses to climate change are of interest. Studies using observations, analysis, and modeling from cloud-resolving to global climate models are particularly encouraged.
Index Terms:
3314 Convective processes [ATMOSPHERIC PROCESSES]
3329 Mesoscale meteorology [ATMOSPHERIC PROCESSES]
3354 Precipitation [ATMOSPHERIC PROCESSES]
4313 Extreme events [NATURAL HAZARDS]
Primary Convener: Zhe Feng, Pacific Northwest National Laboratory, Richland, WA, United States
Conveners: Rebecca Adams-Selin, Atmospheric and Environmental Research, Lexington, MA, United States, Angela K. Rowe, University of Wisconsin Madison, Atmospheric and Oceanic Sciences, Madison, WI, United States and Jiwen Fan, Pacific Northwest National Laboratory, Richland, United States
Classification and Detection of Organized Convection using Deep Learning (Invited) (1052069)
Maria J Molina1,2, David John Gagne II3, Andreas F Prein4, Katherine Dagon5 and Gerald Meehl5, (1)National Center for Atmospheric Research, Boulder, United States, (2)University of Maryland College Park, College Park, United States, (3)NCAR/MMM, Boulder, CO, United States, (4)National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, CO, United States, (5)National Center for Atmospheric Research, Boulder, CO, United States
Analysis of the Predictability of Warm-Season Derechos Using a Convection-Allowing MPAS Ensemble (1056114)
Bruno Ribeiro, University at Albany State University of New York, Albany, NY, United States, Steven Weiss, Storm Prediction Center, Norman, United States and Lance F Bosart, University at Albany, SUNY, Department of Atmospheric and Environmental Sciences, Albany, NY, United States
Impact of Global Warming on U.S. Summertime Mesoscale Convective Systems: A Simple Lagrangian Parcel Model Perspective (1063799)
Qiu Yang1, L. Ruby Leung2, Zhe Feng1 and Xingchao Chen3, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Atmospheric Sciences and Global Change Division, Richland, WA, United States, (3)Pennsylvania State University Main Campus, Meteorology and Atmospheric Sciences, University Park, PA, United States
Changes in Mediterranean Convective Storms under Climate Change Conditions (1077551)
Daniel Argueso, University of the Balearic Islands, Palma de Mallorca, Spain, Andreas F Prein, National Center for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory, Boulder, CO, United States and Alejandro Di Luca, University of New South Wales, Sydney, NSW, Australia
Preliminary Assessment of Volumetric Detection of Tornadic Vortex Using Phased Array Weather Radar and Convolutional Neural Network (1082960)
Toru Adachi1, Naoki Ishitsu2, Kenichi Kusunoki3, Hanako Inoue4, Ken-ichiro Arai2, Osamu Suzuki3, Chusei Fujiwara5 and Suzuki Hiroto5, (1)Meteorological Research Institute, Department of Typhoon and Severe Weather Research, Ibaraki, Japan, (2)Alpha Denshi/Meteorological Research Institute, Ibaraki, Japan, (3)Meteorological Research Institute, Ibaraki, Japan, (4)Japan Meteorological Agency, Tokyo, Japan, (5)East Japan Railway Company, Saitama, Japan
A 20-year Climatology of Mesoscale Convective Systems in Eastern China: How They Are Shaped by the Large-scale Monsoon Cycle and the Implications (1083675)
Tat Fan Cheng1, Qizhen DONG1, Lun Dai1 and Mengqian Lu2, (1)Hong Kong University of Science and Technology, Department of Civil & Environmental Engineering, Hong Kong, China, (2)Hong Kong University of Science and Technology, Department of Civil and Environmental Engineering, Hong Kong, Hong Kong
Spatiotemporal Characteristics of Mesoscale Convective Systems over the Indian Monsoon Zone using Satellite and Radar Observations (1101319)
Manisha Tupsoundare1, Sachin Madhukar Deshpande1, Zhe Feng2, Subrata Das1, Medha S Deshpande1 and Harshad Hanmante1, (1)Indian Institute of Tropical Meteorology, Pune, India, (2)Pacific Northwest National Laboratory, Richland, WA, United States
Overview of Purdue’s Mobile Disdrometer Operations in PERiLS 2022 (1119340)
Daniel Thomas Dawson II1, Qin Jiang2, Jacob Bruss1, Matthew Graber1, Funing LI1, Hamid Ali Syed1, Faith Mary Vendl1, Quinn Asher Wilson1, Michael I Biggerstaff3 and Sean Waugh4, (1)Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States, (2)Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States, (3)University of Oklahoma Norman Campus, Norman, OK, United States, (4)NOAA/NSSL, Norman, United States
Simulation of United States Mesoscale Convective Systems Using GFDL’s New High-Resolution General Circulation Model (1137013)
Wenhao Dong, CPAESS / University Corporation for Atmospheric Research, Boulder, CO, United States, Ming Zhao, NOAA/Geophysical Fluid Dynamics Laboratory, Princeton, United States, Yi Ming, NOAA Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, John P Krasting, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States and V Ramaswamy, NOAA/OAR/ GFDL, Princeton, NJ, United States
Convective Clouds and Associated Severe Weather Events over Kathmandu Valley, Nepal (1142592)
Bimala Ghale1,2, Hanik Lakhe2,3, Sudeep Duwal2,4, Anusha Chalise2, Bijay Man Shakya2 and Rajaram Prajapati2,5, (1)Tri-Chandra Multiple Campus, Department of Meteorology, Kathmandu, Nepal, (2)Smartphones For Water Nepal, Lalitpur, Nepal, (3)Khwopa College, Bhaktapur, Nepal, (4)Tribhuvan University, Central Department of Environmental Science, Kathmandu, Nepal, (5)University of Pittsburgh, Pittsburgh, United States
Impact of Assimilation of INSAT-3D Sounding Profile on Thunderstorm Prediction over the Eastern India (1156381)
Priya Kumari, National Institute of Technology Rourkela, Rourkela, India, Talukdar Sasanka, Dept. of Earth and Atmospheric Sciences, National Institute of Technology Rourkela, Rourkela, India and Krishna Kishore Osuri, National Institute of Technology Rourkela, Department of Earth and Atmospheric Sciences, Rourkela, India
What controls the optimal surface drag strength for tornadogenesis in different environments? (1164912)
Qin Jiang, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States and Daniel Thomas Dawson II, Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States
Climatological Characteristics of Deep Convection in Northwestern South America Using a Persistence Tracking Technique. (1175671)
Vanessa Robledo1, Angela Rendón1, Juan Jose Henao1, John Mejia2, Alvaro Ramirez1, Kevin Santiago Hernandez1 and Sebastián Gómez Ríos1, (1)Escuela Ambiental, Facultad de Ingeniería, Universidad de Antioquia, Medellín, Colombia, (2)Desert Research Institute, Reno, NV, United States
The Role of Soil Moisture State on the Incidence of Summer Mesoscale Convective Systems in the U.S. Great Plains (1192820)
Rachel Gaal, George Mason University Fairfax, Atmospheric, Oceanic and Earth Sciences, Fairfax, VA, United States and James L Kinter, George Mason University, Fairfax, VA, United States
Investigation of the Precipitation Features of Monsoon Deep Depressions over Bay of Bengal: A Numerical Study (1200391)
Tapajyoti Chakraborty, Indian Institute of Technology Bhubaneswar, School of Earth, Ocean and Climate Sciences, Jatni, India, Sandeep Pattnaik, IIT Bhubaneswar, School of Earth Ocean and Climate Science, Bhubaneswar, India and Himadri Baisya, Indian Institute of Technology Bhubaneswar, School of Earth, Ocean and Climate Sciences, Bhubaneswar, India
