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Cited by 320

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets

Wisser, Dominik, Frolking, Steve, Douglas, Ellen M., Fekete, Balazs M., Vörösmarty, Charles J., Schumann, Andreas H.·2008·Geophysical Research Letters

Abstract

Agricultural water use accounts for around 70% of the total water that is withdrawn from surface water and groundwater. We use a new, gridded, global‐scale water balance model to estimate interannual variability in global irrigation water demand arising from climate data sets and uncertainties arising from agricultural and climate data sets. We used contemporary maps of irrigation and crop distribution, and so do not account for variability or trends in irrigation area or cropping. We used two different global maps of irrigation and two different reconstructions of daily weather 1963–2002. Simulated global irrigation water demand varied by ∼30%, depending on irrigation map or weather data. The combined effect of irrigation map and weather data generated a global irrigation water use range of 2200 to 3800 km 3 a−1. Weather driven variability in global irrigation was generally less than ±300 km 3 a−1, globally (<∼10%), but could be as large as ±70% at the national scale.

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Metadata

Authors
Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty, C. J., & Schumann, A. H.
Venue
Geophysical Research Letters
Published
2008-12
Volume
35
Issue
24
ISSN
  • 0094-8276 (ISSN-L)
  • 1944-8007
OpenAlex
W2084770064
Cited by
320
References
26
FWCI
21.06
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets. https://app.cochat.ai/papers/10.1029/2008gl035296
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Wisser, D., Frolking, S., Douglas, E. M., Fekete, B. M., Vörösmarty, C. J., & Schumann, A. H. (2008). Global irrigation water demand: Variability and uncertainties arising from agricultural and climate data sets. Geophysical Research Letters. https://doi.org/10.1029/2008gl035296

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