Abstract

Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management.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.

Details

Title
The delusive accuracy of global irrigation water withdrawal estimates
Author
Puy, Arnald 1   VIAFID ORCID Logo  ; Sheikholeslami, Razi 2 ; Gupta, Hoshin V. 3 ; Hall, Jim W. 4   VIAFID ORCID Logo  ; Lankford, Bruce 5   VIAFID ORCID Logo  ; Lo Piano, Samuele 6 ; Meier, Jonas 7 ; Pappenberger, Florian 8   VIAFID ORCID Logo  ; Porporato, Amilcare 9   VIAFID ORCID Logo  ; Vico, Giulia 10   VIAFID ORCID Logo  ; Saltelli, Andrea 11   VIAFID ORCID Logo 

 Princeton University, Department of Ecology and Evolutionary Biology, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006); University of Bergen, Centre for the Study of the Sciences and the Humanities (SVT), Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443) 
 University of Oxford, Environmental Change Institute, School of Geography and the Environment, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948); Sharif University of Technology, Department of Civil Engineering, Tehran, Iran (GRID:grid.412553.4) (ISNI:0000 0001 0740 9747) 
 University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X) 
 University of Oxford, Environmental Change Institute, School of Geography and the Environment, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948) 
 University of East Anglia, School of International Development, Norwich, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967) 
 University of Reading, School of the Built Environment, Reading, UK (GRID:grid.9435.b) (ISNI:0000 0004 0457 9566) 
 German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany (GRID:grid.7551.6) (ISNI:0000 0000 8983 7915) 
 European Centre for Medium-Range Weather Forecasts, Reading, UK (GRID:grid.42781.38) (ISNI:0000 0004 0457 8766) 
 Princeton University, Department of Civil and Environmental Engineering and Princeton High Meadows Environmental Institute, Princeton, USA (GRID:grid.16750.35) (ISNI:0000 0001 2097 5006) 
10  Swedish University of Agricultural Sciences, Department of Crop Production Ecology, Uppsala, Sweden (GRID:grid.6341.0) (ISNI:0000 0000 8578 2742) 
11  University of Bergen, Centre for the Study of the Sciences and the Humanities (SVT), Bergen, Norway (GRID:grid.7914.b) (ISNI:0000 0004 1936 7443); UPF Barcelona School of Management, Barcelona, Spain (GRID:grid.5612.0) (ISNI:0000 0001 2172 2676) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2674129778
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.