US Corn Belt enhances regional precipitation recycling

Z Zhe Zhang C Cenlin He (Research Applications Laboratory, NSF National Center for Atmospheric Research) F Fei Chen G Gonzalo Miguez-Macho C Changhai Liu (Research Applications Laboratory, NSF National Center for Atmospheric Research) R Roy Rasmussen (Research Applications Laboratory, NSF National Center for Atmospheric Research)

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.

Article Details

Volume / Issue Vol. 122, Issue 1
Published January 07, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (6)

Z

Zhe Zhang

C

Cenlin He

Research Applications Laboratory, NSF National Center for Atmospheric Research

F

Fei Chen

G

Gonzalo Miguez-Macho

C

Changhai Liu

Research Applications Laboratory, NSF National Center for Atmospheric Research

R

Roy Rasmussen

Research Applications Laboratory, NSF National Center for Atmospheric Research