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  • A21F: Understanding and Modeling of Mesoscale and Severe Local Convective Storm Processes I Poster
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Primary Convener:
Zhe Feng, Pacific Northwest National Laboratory

Convener:
Jiwen Fan, Argonne National Laboratory
Huancui Hu, Pacific Northwest National Laboratory (DOE)
Angela Rowe, University of Wisconsin Madison

Early Career Convener:
Huancui Hu, Pacific Northwest National Laboratory (DOE)

Chair:
Angela Rowe, University of Wisconsin Madison
Huancui Hu, Pacific Northwest National Laboratory (DOE)

Convective storm systems significantly influence the hydrological cycle and global atmospheric circulation, producing hazardous weather phenomena such as hail, flash flooding, damaging winds, and tornadoes. These impacts vary by convective lifecycle stage and spatial scale, with initiation, growth, intensity, and evolution closely tied to environmental conditions from local to large scales. Consequently, challenges in predicting convective storms stem from incomplete understanding of these complex interactions. This session invites theoretical, observational (including field and laboratory experiments), and numerical modeling studies across diverse spatial and temporal scales to advance understanding, parameterization, and prediction of convective storms and their hazards. Contributions focusing on storm structure and dynamics, physical processes influencing storm initiation and lifecycle, and storms-environment interactions—such as land surface feedback—are encouraged. We particularly welcome studies integrating observations with modeling and employing AI/ML approaches to improve understanding of deep convective storm processes, interactions, and related hazards.

Index Terms
3314 Convective processes
3322 Land|atmosphere interactions
3329 Mesoscale meteorology
3354 Precipitation

Suggested Itineraries:
Disasters‚ Calamities and Extreme Events

Cross-Listed:
NH - Natural Hazards

Neighborhoods:
3. Earth Covering

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