Deciphering the capricious precipitation response: irrigation impact in the North China Plain

Intensive irrigation in the North China Plain (NCP) raises environmental concerns, yet its climate impacts remain inconsistent among current modeling studies. These inconsistencies may arise from deficiencies in existing models. To better capture irrigation impact, we employed a recently improved irrigation model tailored for the NCP, which significantly enhances simulations of crop growth and irrigation application. Results reveal that irrigation exerts competing effects on precipitation: enhancing it in May and June by increasing rainfall frequency and intensity, while suppressing it in July and August by reducing intensity. Spatial precipitation changes correlate with upper-tropospheric humidity, while inter-annual changes link to geopotential height and wind anomalies. This suggests that irrigation-induced surface cooling and moisturizing modulate atmospheric thermodynamic and dynamic structures, influencing convective precipitation unevenly across regions and time, leading to complex precipitation changes. These findings highlight the complexity of irrigation impacts and emphasize the need for improved land representation in climate models.

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Publication Details

Journal
npj Climate and Atmospheric Science
Published
2025-06-06
DOI
https://doi.org/10.1038/s41612-025-01063-3
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

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article

Deciphering the capricious precipitation response: irrigation impact in the North China Plain

Eun‐Soon Im, Zhao Yang, Yuwen Fan, Min‐Hui Lo et al.
2 citations
npj Climate and Atmospheric Science
Climate variability and models
2.21
article

Deciphering the capricious precipitation response: irrigation impact in the North China Plain

Eun‐Soon Im, Zhao Yang, Yuwen Fan, Min‐Hui Lo, Jina Hur
article en
2 citations

Abstract

Intensive irrigation in the North China Plain (NCP) raises environmental concerns, yet its climate impacts remain inconsistent among current modeling studies. These inconsistencies may arise from deficiencies in existing models. To better capture irrigation impact, we employed a recently improved irrigation model tailored for the NCP, which significantly enhances simulations of crop growth and irrigation application. Results reveal that irrigation exerts competing effects on precipitation: enhancing it in May and June by increasing rainfall frequency and intensity, while suppressing it in July and August by reducing intensity. Spatial precipitation changes correlate with upper-tropospheric humidity, while inter-annual changes link to geopotential height and wind anomalies. This suggests that irrigation-induced surface cooling and moisturizing modulate atmospheric thermodynamic and dynamic structures, influencing convective precipitation unevenly across regions and time, leading to complex precipitation changes. These findings highlight the complexity of irrigation impacts and emphasize the need for improved land representation in climate models.

npj Climate and Atmospheric ScienceVol. 8(1)
Pacific Northwest National Laboratory (US), National Taiwan University (TW), Hong Kong University of Science and Technology (HK), Rural Development Administration (KR)
U.S. Department of Energy, Rural Development Administration, Hong Kong University of Science and Technology, Office of Science, National Academy of Agricultural Sciences, National Supercomputing Center, Korea Institute of Science and Technology Information
Zero hunger
Openalex Percentile: Top 13%
Climate variability and models
2.21
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