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
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Agricultural water use accounts for around 70% of the total water that is withdrawn from surface water and groundwater.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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The NCEP/NCAR 40-Year Reanalysis Project
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., et al. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 · Cited by 28,360
Crop evapotranspiration : guidelines for computing crop water requirements
Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998) · FAO eBooks · Cited by 20,520
Mitchell, T. D., & Jones, P. D. (2005) · International Journal of Climatology · doi:10.1002/joc.1181 · Cited by 3,822
Monfreda, C., Ramankutty, N., & Foley, J. A. (2008) · Global Biogeochemical Cycles · doi:10.1029/2007gb002947 · Cited by 1,895
Water in crisis: a guide to the world’s fresh water resources
Thomas, C. (1994) · International Affairs · doi:10.2307/2623756 · Cited by 1,067
Global modeling of irrigation water requirements
Döll, P., & Siebert, S. (2002) · Water Resources Research · doi:10.1029/2001wr000355 · Cited by 816
Development and validation of the global map of irrigation areas
Siebert, S., Döll, P., Hoogeveen, J., Faures, J.-M., Frenken, K., & Feick, S. (2005) · Hydrology and Earth System Sciences · doi:10.5194/hess-9-535-2005 · Cited by 620
Bouman, B. A. M., Humphreys, E., Tuong, T. P., & Barker, R. (2007) · Advances in Agronomy · doi:10.1016/s0065-2113(04)92004-4 · Cited by 605
Vörösmarty, C. J., Federer, C. A., & Schloss, A. L. (1998) · Journal of Hydrology · doi:10.1016/s0022-1694(98)00109-7 · Cited by 437
Self-citationHanasaki, N., Kanae, S., Oki, T., Masuda, K., Motoya, K., Shirakawa, N., Shen, Y., & Tanaka, K. (2008) · Hydrology and Earth System Sciences · doi:10.5194/hess-12-1027-2008 · Cited by 413
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Lehner, B., & Grill, G. (2013) · Hydrological Processes · doi:10.1002/hyp.9740 · Cited by 2,193
Wada, Y., Wisser, D., & Bierkens, M. F. P. (2014) · Earth System Dynamics · doi:10.5194/esd-5-15-2014 · Cited by 873
Self-citationToward mountains without permanent snow and ice
Huss, M., Bookhagen, B., Huggel, C., Jacobsen, D., Bradley, R. S., Clague, J. J., Vuille, M., Buytaert, W., Cayan, D. R., Greenwood, G., et al. (2017) · Earth's Future · doi:10.1002/2016ef000514 · Cited by 597
High‐resolution modeling of human and climate impacts on global water resources
Wada, Y., de Graaf, I. E. M., & van Beek, L. P. H. (2016) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2015ms000618 · Cited by 217
Planetary boundaries revisited: a view through the ‘water lens’
Bogardi, J. J., Fekete, B. M., & Vörösmarty, C. J. (2013) · Current Opinion in Environmental Sustainability · doi:10.1016/j.cosust.2013.10.006 · Cited by 56
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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
- Publisher
- American Geophysical Union (AGU)
- 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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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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