DOE OSTI · 3017636
Comparing Synoptic Pattern Evolution for Flash‐Flood‐Producing and Non‐Flash‐Flood‐Producing Mesoscale Convective Systems in the United States
Abstract
Understanding how the short-term evolution of synoptic weather patterns influence Mesoscale Convective Systems (MCSs) is essential, as these systems are responsible for over half of central U.S. flash floods, leading to substantial socioeconomic and water resource management impacts. This study analyzes long-term MCS data, flash flood reports, and atmospheric reanalyses from 2007 to 2017 using a machine learning clustering algorithm to examine how the synoptic weather patterns evolve prior to MCS initiation. While the clusters reflect seasonal and regional differences in MCS occurrence, they do not consistently distinguish between MCSs that do and do not produce flash floods. Systems in the southern Great Plains are more flood-prone when a synoptic-scale forcing, located near the system, drives strong water vapor transport from the nearby moisture source. More generally under different synoptic weather patterns, a broader precipitating area is the most dominant factor governing MCS flash flood potential.
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Cui, Wenjun [Univ. of Oklahoma, Norman, OK (United States); NOAA/OAR National Severe Storms Laboratory, Norman, OK (United States)] (ORCID:0000000333425155), Hua, Zhanxiang [Univ. of Oklahoma, Norman, OK (United States); Univ. of Washington, Seattle, WA (United States)] (ORCID:000000019760940X), Galarneau Jr., Thomas J. [NOAA/OAR National Severe Storms Laboratory, Norman, OK (United States)] (ORCID:0000000223422594), Feng, Zhe [Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)] (ORCID:0000000275409017), Anderson‐Frey, Alexandra [Univ. of Washington, Seattle, WA (United States)]. 2026-02-06. Comparing Synoptic Pattern Evolution for Flash‐Flood‐Producing and Non‐Flash‐Flood‐Producing Mesoscale Convective Systems in the United States. https://doi.org/10.1029/2025gl119543
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