It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
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Miscalculating the volumes of water withdrawn for irrigation, the largest consumer of freshwater in the world, jeopardizes sustainable water management.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.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details







1 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)
2 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)
3 University of Arizona, Department of Hydrology and Atmospheric Sciences, Tucson, USA (GRID:grid.134563.6) (ISNI:0000 0001 2168 186X)
4 University of Oxford, Environmental Change Institute, School of Geography and the Environment, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)
5 University of East Anglia, School of International Development, Norwich, UK (GRID:grid.8273.e) (ISNI:0000 0001 1092 7967)
6 University of Reading, School of the Built Environment, Reading, UK (GRID:grid.9435.b) (ISNI:0000 0004 0457 9566)
7 German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), Oberpfaffenhofen, Germany (GRID:grid.7551.6) (ISNI:0000 0000 8983 7915)
8 European Centre for Medium-Range Weather Forecasts, Reading, UK (GRID:grid.42781.38) (ISNI:0000 0004 0457 8766)
9 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)