AE007
Using total lightning to study thunderstorm processes and their effects on the surrounding environment

Session ID#: 160817

Session Description:
Total lightning is so intimately tied to the processes driving deep convection that it serves as an excellent metric for thunderstorm intensity and can provide key insights about the challenging-to-constrain mixed-phase region of thunderstorms. Thermodynamic and microphysical changes resulting from a changing climate or changes in aerosol abundance can manifest in total lightning. The purpose of this session is to provide a forum for meteorological and atmospheric composition studies that employ innovative approaches for exploring total lightning observations to advance our understanding of thunderstorm processes, especially in relation to hazards like severe weather and wildfires, and changes in aerosols, greenhouse gases and climate. This session welcomes studies focused on lightning in relation to physical process, especially those including analysis of satellite datasets such as LIS, GLM and TROPOMI as well as those using relevant national, regional and field campaign datasets, including those collected during TRACER/ESCAPE and PERiLS.
Co-Organized:
  • A - Atmospheric Sciences
Index Terms:

0365 Troposphere: composition and chemistry [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3314 Convective processes [ATMOSPHERIC PROCESSES]
3324 Lightning [ATMOSPHERIC PROCESSES]
3329 Mesoscale meteorology [ATMOSPHERIC PROCESSES]


Primary Convener:  Patrick N Gatlin, NASA Marshall Space Flight Center, Huntsville, AL, United States
Conveners:  Kenneth E Pickering, NASA Goddard Space Flight Cent, Greenbelt, MD, United States; University of Maryland, Dept. of Atmospheric and Oceanic Science, College Park, United States and Timothy J Lang, NASA Marshall Space Flight Center, Huntsville, United States
 
An Estimate of Mean Lightning NOx Production per Flash in a DC3 Storm as Determined by Cloud Resolved Chemistry Simulations Constrained by Trace Gas and Total Lightning Observations (1173012)
Kenneth E Pickering, Dale J Allen and Madilynn Seiler, University of Maryland, Dept. of Atmospheric and Oceanic Science, College Park, United States
 
Combined Assimilation of Radar and Lightning Data for Short-term Forecast of Severe Convection System (1131084)
Xiushu Qie1, Yuxin Zhang Zhang2, Zhixiong Chen1 and Xian Xiao3, (1)Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (2)Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China, (3)Institute of Urban Meteorology (IUM), Chinese Meteorological Administration (CMA), Beijing, China
 
Investigating spatio-temporal association between lightning, aerosols and cloud characteristics over India using multi-satellite observations and reanalysis datasets. (1102110)
Subhojit Ghoshal Chowdhury, Indian Institute of Technology Delhi, New Delhi, India, Sagnik Dey, IIT Delhi, New Delhi, India and Dilip Ganguly, Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India
 
Where are the Highest Flash Rate Thunderstorms on Earth? (1094940)
Michael J Peterson, Los Alamos National Laboratory, Los Alamos, United States
 
Preliminary PERiLS Analyses from a New Mobile Lightning Mapping Array (Invited) (1095950)
Vanna Chmielewski1, Jacquelyn Ringhausen2,3, Kristin M Calhoun1, Vicente Salinas4,5, Doug Kennedy1, Zachary Barney1, Eric C Bruning6 and Kelcy N Brunner7, (1)NOAA / OAR / National Severe Storms Laboratory, Norman, United States, (2)Cooperative Institute for Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, United States, (3)NOAA/OAR National Severe Storms Laboratory, Oklahoma City, United States, (4)Cooperative Institute of Severe and High-Impact Weather Research and Operations, University of Oklahoma, Norman, United States, (5)NOAA/OAR National Severe Storms Laboratory, Norman, United States, (6)Texas Tech University, Lubbock, United States, (7)Texas Tech University, Lubbock, TX, United States
 
The Relationship Between Cloud Microphysics and Electrification in Southeast U.S. Storms Investigated Using Polarimetric, Cold Pool, and Lightning Characteristics (1067287)
Milind Sharma1, Robin L Tanamachi1, Daniel Thomas Dawson II2, Eric C Bruning3 and Edward Mansell4, (1)Purdue University, Earth, Atmospheric, and Planetary Sciences, West Lafayette, IN, United States, (2)Purdue University, Department of Earth, Atmospheric, and Planetary Sciences, West Lafayette, United States, (3)Texas Tech University, Lubbock, United States, (4)National Severe Storms Lab, Norman, OK, United States
 
How much NOx does lightning produce? A review of remotely sensed estimates and uncertainties (Invited) (1072156)
Dale J Allen, University of Maryland, Dept. of Atmospheric and Oceanic Science, College Park, United States, Kenneth E Pickering, University of Maryland, AOSC, College Park, United States and Eric J Bucsela, SRI International Menlo Park, Menlo Park, CA, United States
 
The Multiplatform Precipitation Feature (MPF) Database: Synthesizing Satellite and Ground-Based Precipitation and Lightning Datasets for Convective Studies (1087350)
Sarah M. Stough1, Sarah D Bang2, Timothy J Lang2 and Patrick N Gatlin3, (1)University of Alabama in Huntsville, Earth System Science Center, Huntsville, United States, (2)NASA Marshall Space Flight Center, Huntsville, United States, (3)NASA Marshall Space Flight Center, Huntsville, AL, United States
 
Radar polarimetry and flash rate variability in varying thermodynamic and aerosol environments in Houston, TX (1048245)
Eric C Bruning1, Kelcy N Brunner2, Marcus van Lier-Walqui3, Timothy Logan4, Matthew D. Miller1, Jessica C S Souza2, David Singewald1 and Stephanie A Weiss1, (1)Texas Tech University, Lubbock, United States, (2)Texas Tech University, Lubbock, TX, United States, (3)Columbia University, Center for Climate Systems Research, New York, NY, United States, (4)Texas A&M University College Station, Atmospheric Sciences, College Station, TX, United States