Impacts of irrigation expansion on moist-heat stress based on IRRMIP results
Abstract Irrigation rapidly expanded during the 20 t h century, affecting climate via water, energy, and biogeochemical changes. Previous assessments of these effects predominantly relied on a single Earth System Model, and therefore suffered from structural model uncertainties. Here we quantify the...
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2025-01-01
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Online Access: | https://doi.org/10.1038/s41467-025-56356-1 |
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author | Yi Yao Agnès Ducharne Benjamin I. Cook Steven J. De Hertog Kjetil Schanke Aas Pedro F. Arboleda-Obando Jonathan Buzan Jeanne Colin Maya Costantini Bertrand Decharme David M. Lawrence Peter Lawrence L. Ruby Leung Min-Hui Lo Narayanappa Devaraju William R. Wieder Ren-Jie Wu Tian Zhou Jonas Jägermeyr Sonali McDermid Yadu Pokhrel Maxwell Elling Naota Hanasaki Paul Muñoz Larissa S. Nazarenko Kedar Otta Yusuke Satoh Tokuta Yokohata Lei Jin Xuhui Wang Vimal Mishra Subimal Ghosh Wim Thiery |
author_facet | Yi Yao Agnès Ducharne Benjamin I. Cook Steven J. De Hertog Kjetil Schanke Aas Pedro F. Arboleda-Obando Jonathan Buzan Jeanne Colin Maya Costantini Bertrand Decharme David M. Lawrence Peter Lawrence L. Ruby Leung Min-Hui Lo Narayanappa Devaraju William R. Wieder Ren-Jie Wu Tian Zhou Jonas Jägermeyr Sonali McDermid Yadu Pokhrel Maxwell Elling Naota Hanasaki Paul Muñoz Larissa S. Nazarenko Kedar Otta Yusuke Satoh Tokuta Yokohata Lei Jin Xuhui Wang Vimal Mishra Subimal Ghosh Wim Thiery |
author_sort | Yi Yao |
collection | DOAJ |
description | Abstract Irrigation rapidly expanded during the 20 t h century, affecting climate via water, energy, and biogeochemical changes. Previous assessments of these effects predominantly relied on a single Earth System Model, and therefore suffered from structural model uncertainties. Here we quantify the impacts of historical irrigation expansion on climate by analysing simulation results from six Earth system models participating in the Irrigation Model Intercomparison Project (IRRMIP). Results show that irrigation expansion causes a rapid increase in irrigation water withdrawal, which leads to less frequent 2-meter air temperature heat extremes across heavily irrigated areas (≥4 times less likely). However, due to the irrigation-induced increase in air humidity, the cooling effect of irrigation expansion on moist-heat stress is less pronounced or even reversed, depending on the heat stress metric. In summary, this study indicates that irrigation deployment is not an efficient adaptation measure to escalating human heat stress under climate change, calling for carefully dealing with the increased exposure of local people to moist-heat stress. |
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id | doaj-art-68ce874d2d0f4942b3f0f6c4cbda90e0 |
institution | Kabale University |
issn | 2041-1723 |
language | English |
publishDate | 2025-01-01 |
publisher | Nature Portfolio |
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series | Nature Communications |
spelling | doaj-art-68ce874d2d0f4942b3f0f6c4cbda90e02025-01-26T12:41:53ZengNature PortfolioNature Communications2041-17232025-01-0116111110.1038/s41467-025-56356-1Impacts of irrigation expansion on moist-heat stress based on IRRMIP resultsYi Yao0Agnès Ducharne1Benjamin I. Cook2Steven J. De Hertog3Kjetil Schanke Aas4Pedro F. Arboleda-Obando5Jonathan Buzan6Jeanne Colin7Maya Costantini8Bertrand Decharme9David M. Lawrence10Peter Lawrence11L. Ruby Leung12Min-Hui Lo13Narayanappa Devaraju14William R. Wieder15Ren-Jie Wu16Tian Zhou17Jonas Jägermeyr18Sonali McDermid19Yadu Pokhrel20Maxwell Elling21Naota Hanasaki22Paul Muñoz23Larissa S. Nazarenko24Kedar Otta25Yusuke Satoh26Tokuta Yokohata27Lei Jin28Xuhui Wang29Vimal Mishra30Subimal Ghosh31Wim Thiery32Department of Water and Climate, Vrije Universiteit BrusselLaboratory 7619 METIS, Sorbonne UniversitéDepartment of Environmental Studies, New York UniversityDepartment of Water and Climate, Vrije Universiteit BrusselCICERO - Center for International Climate ResearchLaboratory 7619 METIS, Sorbonne UniversitéClimate and Environmental Physics, Physics Institute, University of BernCentre National de Recherches Météorologiques (CNRM), Université de Toulouse, Météo-FranceCentre National de Recherches Météorologiques (CNRM), Université de Toulouse, Météo-FranceCentre National de Recherches Météorologiques (CNRM), Université de Toulouse, Météo-FranceClimate and Global Dynamics Laboratory, National Center for Atmospheric ResearchClimate and Global Dynamics Laboratory, National Center for Atmospheric ResearchAtmospheric, Climate, and Earth Sciences Division, Pacific Northwest National LaboratoryDepartment of Atmospheric Sciences, National Taiwan UniversityAdvanced Computing Facility Unit, CSC- IT Center for ScienceClimate and Global Dynamics Laboratory, National Center for Atmospheric ResearchDepartment of Atmospheric Sciences, National Taiwan UniversityAtmospheric, Climate, and Earth Sciences Division, Pacific Northwest National LaboratoryColumbia University, Climate SchoolDepartment of Environmental Studies, New York UniversityDepartment of Civil and Environmental Engineering, Michigan State UniversityNASA Goddard Institute for Space StudiesNational Institute for Environmental StudiesDepartment of Water and Climate, Vrije Universiteit BrusselDepartment of Environmental Studies, New York UniversityNational Institute for Environmental StudiesMoon Soul Graduate School of Future Strategy, Korea Advanced Institute of Science and TechnologyNational Institute for Environmental StudiesSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking UniversitySino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking UniversityCivil Engineering, Indian Institute of Technology (IIT)Interdisciplinary Program in Climate Studies, Indian Institute of Technology BombayDepartment of Water and Climate, Vrije Universiteit BrusselAbstract Irrigation rapidly expanded during the 20 t h century, affecting climate via water, energy, and biogeochemical changes. Previous assessments of these effects predominantly relied on a single Earth System Model, and therefore suffered from structural model uncertainties. Here we quantify the impacts of historical irrigation expansion on climate by analysing simulation results from six Earth system models participating in the Irrigation Model Intercomparison Project (IRRMIP). Results show that irrigation expansion causes a rapid increase in irrigation water withdrawal, which leads to less frequent 2-meter air temperature heat extremes across heavily irrigated areas (≥4 times less likely). However, due to the irrigation-induced increase in air humidity, the cooling effect of irrigation expansion on moist-heat stress is less pronounced or even reversed, depending on the heat stress metric. In summary, this study indicates that irrigation deployment is not an efficient adaptation measure to escalating human heat stress under climate change, calling for carefully dealing with the increased exposure of local people to moist-heat stress.https://doi.org/10.1038/s41467-025-56356-1 |
spellingShingle | Yi Yao Agnès Ducharne Benjamin I. Cook Steven J. De Hertog Kjetil Schanke Aas Pedro F. Arboleda-Obando Jonathan Buzan Jeanne Colin Maya Costantini Bertrand Decharme David M. Lawrence Peter Lawrence L. Ruby Leung Min-Hui Lo Narayanappa Devaraju William R. Wieder Ren-Jie Wu Tian Zhou Jonas Jägermeyr Sonali McDermid Yadu Pokhrel Maxwell Elling Naota Hanasaki Paul Muñoz Larissa S. Nazarenko Kedar Otta Yusuke Satoh Tokuta Yokohata Lei Jin Xuhui Wang Vimal Mishra Subimal Ghosh Wim Thiery Impacts of irrigation expansion on moist-heat stress based on IRRMIP results Nature Communications |
title | Impacts of irrigation expansion on moist-heat stress based on IRRMIP results |
title_full | Impacts of irrigation expansion on moist-heat stress based on IRRMIP results |
title_fullStr | Impacts of irrigation expansion on moist-heat stress based on IRRMIP results |
title_full_unstemmed | Impacts of irrigation expansion on moist-heat stress based on IRRMIP results |
title_short | Impacts of irrigation expansion on moist-heat stress based on IRRMIP results |
title_sort | impacts of irrigation expansion on moist heat stress based on irrmip results |
url | https://doi.org/10.1038/s41467-025-56356-1 |
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