US Corn Belt enhances regional precipitation recycling

Precipitation recycling, where evapotranspiration (ET) from the land surface contributes to precipitation within the same region, is a critical component of the water cycle. This process is especially important for the US Corn Belt, where extensive cropland expansions and irrigation activities have significantly transformed the landscape and affected the regional climate. Previous studies investigating precipitation recycling typically relied on analytical models with simplifying assumptions, overlooking the complex interactions between groundwater hydrology and agricultural management. In this study, we use high-resolution climate models coupled with an explicit water vapor tracer algorithm to quantify the impacts of shallow groundwater, dynamic crop growth, and irrigation on regional precipitation recycling in the US Corn Belt. We find that these coupled groundwater-crop-irrigation processes reduce surface temperatures and increase the growing season precipitation. The increase in precipitation is attributed to a significant enhancement of the precipitation recycling ratio from 14 to 18%. This enhanced precipitation recycling is stronger in a dry year than normal and wet years, depending on both large-scale moisture transport and local ET. Our study underscores the critical role of groundwater hydrology and agricultural management in altering the regional water cycle, with important implications for regional climate predictions and food and water security.

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Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-12-30
DOI
https://doi.org/10.1073/pnas.2402656121
Citations
3
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.85

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article

US Corn Belt enhances regional precipitation recycling

Gonzalo Miguez‐Macho, Cenlin He, Zhe Zhang, Fei Chen et al.
3 citations
Proceedings of the National Academy of Sciences
Climate variability and models
0.85
article

US Corn Belt enhances regional precipitation recycling

Gonzalo Miguez‐Macho, Cenlin He, Zhe Zhang, Fei Chen, Changhai Liu, Roy Rasmussen
article en
3 citations

Abstract

Precipitation recycling, where evapotranspiration (ET) from the land surface contributes to precipitation within the same region, is a critical component of the water cycle. This process is especially important for the US Corn Belt, where extensive cropland expansions and irrigation activities have significantly transformed the landscape and affected the regional climate. Previous studies investigating precipitation recycling typically relied on analytical models with simplifying assumptions, overlooking the complex interactions between groundwater hydrology and agricultural management. In this study, we use high-resolution climate models coupled with an explicit water vapor tracer algorithm to quantify the impacts of shallow groundwater, dynamic crop growth, and irrigation on regional precipitation recycling in the US Corn Belt. We find that these coupled groundwater-crop-irrigation processes reduce surface temperatures and increase the growing season precipitation. The increase in precipitation is attributed to a significant enhancement of the precipitation recycling ratio from 14 to 18%. This enhanced precipitation recycling is stronger in a dry year than normal and wet years, depending on both large-scale moisture transport and local ET. Our study underscores the critical role of groundwater hydrology and agricultural management in altering the regional water cycle, with important implications for regional climate predictions and food and water security.

Proceedings of the National Academy of SciencesVol. 122(1)
NSF National Center for Atmospheric Research (US), Universidade de Santiago de Compostela (ES), Hong Kong University of Science and Technology (HK), Research Applications (United States) (US)
National Science Foundation
Openalex Percentile: Top 26%
Climate variability and models
0.85
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US Corn Belt enhances regional precipitation recycling — Gonzalo Miguez‐Macho, Cenlin He, et al. · Proceedings of the National Academy of Sciences (2024) | TGRS Research Map | TGRS