The delusive accuracy of global irrigation water withdrawal estimates

Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management. Hydrological models quantify water withdrawals, but their estimates are unduly precise. Model imperfections need to be appreciated to avoid policy...

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Autores principales: Puy, Arnald, Sheikholeslami, Razi, Gupta, Hoshin V., Hall, Jim W., Lankford, Bruce, Lo Piano, Samuele, Meier, Jonas, Pappenberger, Florian, Porporato, Amilcare, Vico, Giulia, Saltelli, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177853/
https://www.ncbi.nlm.nih.gov/pubmed/35676249
http://dx.doi.org/10.1038/s41467-022-30731-8
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author Puy, Arnald
Sheikholeslami, Razi
Gupta, Hoshin V.
Hall, Jim W.
Lankford, Bruce
Lo Piano, Samuele
Meier, Jonas
Pappenberger, Florian
Porporato, Amilcare
Vico, Giulia
Saltelli, Andrea
author_facet Puy, Arnald
Sheikholeslami, Razi
Gupta, Hoshin V.
Hall, Jim W.
Lankford, Bruce
Lo Piano, Samuele
Meier, Jonas
Pappenberger, Florian
Porporato, Amilcare
Vico, Giulia
Saltelli, Andrea
author_sort Puy, Arnald
collection PubMed
description Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management. Hydrological models quantify water withdrawals, but their estimates are unduly precise. Model imperfections need to be appreciated to avoid policy misjudgements.
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spelling pubmed-91778532022-06-10 The delusive accuracy of global irrigation water withdrawal estimates Puy, Arnald Sheikholeslami, Razi Gupta, Hoshin V. Hall, Jim W. Lankford, Bruce Lo Piano, Samuele Meier, Jonas Pappenberger, Florian Porporato, Amilcare Vico, Giulia Saltelli, Andrea Nat Commun Comment Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management. Hydrological models quantify water withdrawals, but their estimates are unduly precise. Model imperfections need to be appreciated to avoid policy misjudgements. Nature Publishing Group UK 2022-06-08 /pmc/articles/PMC9177853/ /pubmed/35676249 http://dx.doi.org/10.1038/s41467-022-30731-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Comment
Puy, Arnald
Sheikholeslami, Razi
Gupta, Hoshin V.
Hall, Jim W.
Lankford, Bruce
Lo Piano, Samuele
Meier, Jonas
Pappenberger, Florian
Porporato, Amilcare
Vico, Giulia
Saltelli, Andrea
The delusive accuracy of global irrigation water withdrawal estimates
title The delusive accuracy of global irrigation water withdrawal estimates
title_full The delusive accuracy of global irrigation water withdrawal estimates
title_fullStr The delusive accuracy of global irrigation water withdrawal estimates
title_full_unstemmed The delusive accuracy of global irrigation water withdrawal estimates
title_short The delusive accuracy of global irrigation water withdrawal estimates
title_sort delusive accuracy of global irrigation water withdrawal estimates
topic Comment
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177853/
https://www.ncbi.nlm.nih.gov/pubmed/35676249
http://dx.doi.org/10.1038/s41467-022-30731-8
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