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Moisture from US Corn Belt fuels more intense convective storms

Research output: Contribution to journalArticlepeer-review

Abstract

The US Corn Belt is among the world’s most productive agricultural regions and a global hotspot for mesoscale convective systems (MCSs), which supply vital growing season rainfall but also drive hazardous flooding. While evapotranspiration (ET) from shallow groundwater, extensive croplands, and irrigation is known to influence regional precipitation, its role in fueling convective storms remains poorly understood. Here we use a high-resolution regional climate model coupled with an advanced water vapor tracer to track moisture from Corn Belt ET into individual convective storms. We find that the integrated groundwater-crop-irrigation interactions amplify MCS frequency by 24-35%, extend storm lifetime by up to 10%, and accelerate storm movement. Moisture from Corn Belt ET enhances the warm-moist inflows, sustaining convective cells and enhancing precipitation near the storm center, with more pronounced effects in stronger storms. These findings highlight the significant role of shallow groundwater and agricultural activities in intensifying convective storms, creating cascading hazards that threaten water and food security.

Original languageEnglish
Article number70
Number of pages12
JournalCommunications Earth and Environment
Volume7
Issue number1
DOIs
StatePublished - Dec 16 2025
Externally publishedYes

Funding

NCAR is funded by the National Science Foundation (NSF) and this work is supported by the NSF NCAR Advanced Study Program and NCAR's Water System program. We thank the ECMWF and National Climate Data Centre for making available their datasets. Computer resources were provided by the Cheyenne supercomputer, Computational and Information Systems Laboratory (NCAR Community Computing, http://n2t.net/ark:/85065/d7wd3xhc).

FundersFunder number
National Science Foundation (NSF)Water System Program

    Keywords

    • Land-atmosphere interactions
    • Climate-change
    • Irrigation
    • Model
    • Precipitation
    • Agriculture
    • Feedbacks
    • Evolution
    • Regions
    • Systems

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