The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Multimodel projections and uncertainties of irrigation water demand under climate change
Open accessAbstract
Crop irrigation is responsible for 70% of humanity's water demand. Since the late 1990s, the expansion of irrigated areas has been tapering off, and this trend is expected to continue in the future. Future irrigation water demand (IWD) is, however, subject to large uncertainties due to anticipated climate change. Here, we use a set of seven global hydrological models (GHMs) to quantify the impact of projected global climate change on IWD on currently irrigated areas by the end of this century, and to assess the resulting uncertainties arising from both the GHMs and climate projections. The resulting ensemble projections generally show an increasing trend in future IWD, but the increase varies substantially depending on the degree of global warming and associated regional precipitation changes. Under the highest greenhouse gas emission scenario (RCP8.5), IWD will considerably increase during the summer in the Northern Hemisphere (>20% by 2100), and the present peak IWD is projected to shift one month or more over regions where ≥80% of the global irrigated areas exist and 4 billion people currently live. Uncertainties arising from GHMs and global climate models (GCMs) are large, with GHM uncertainty dominating throughout the century and with GCM uncertainty substantially increasing from the midcentury, indicating the choice of GHM outweighing by far the uncertainty arising from the choice of GCM and associated emission scenario.
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Cites
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Foley, J. A., Ramankutty, N., Brauman, K. A., Cassidy, E. S., Gerber, J. S., Johnston, M., Mueller, N. D., O’Connell, C., Ray, D. K., West, P. C., et al. (2011) · Nature · doi:10.1038/nature10452 · Cited by 8,476
A trend-preserving bias correction – the ISI-MIP approach
Hempel, S., Frieler, K., Warszawski, L., Schewe, J., & Piontek, F. (2013) · Earth System Dynamics · doi:10.5194/esd-4-219-2013 · Cited by 1,238
Self-citationSiebert, S., & Döll, P. (2010) · Journal of Hydrology · doi:10.1016/j.jhydrol.2009.07.031 · Cited by 874
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Cook, B. I., Smerdon, J. E., Seager, R., & Coats, S. (2014) · Climate Dynamics · doi:10.1007/s00382-014-2075-y · Cited by 1,070
Kummu, M., Guillaume, J. H. A., de Moel, H., Eisner, S., Flörke, M., Porkka, M., Siebert, S., Veldkamp, T. I. E., & Ward, P. J. (2016) · Scientific Reports · doi:10.1038/srep38495 · Cited by 957
Self-citationWater competition between cities and agriculture driven by climate change and urban growth
Flörke, M., Schneider, C., & McDonald, R. I. (2018) · Nature Sustainability · doi:10.1038/s41893-017-0006-8 · Cited by 910
Self-citationCountry-level and gridded estimates of wastewater production, collection, treatment and reuse
Jones, E. R., van Vliet, M. T. H., Qadir, M., & Bierkens, M. F. P. (2021) · Earth system science data · doi:10.5194/essd-13-237-2021 · Cited by 829
Metadata
- Authors
- Wada, Y., Wisser, D., Eisner, S., Flörke, M., Gerten, D., Haddeland, I., Hanasaki, N., Masaki, Y., Portmann, F. T., Stacke, T., Tessler, Z., & Schewe, J.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2013-09-10
- Volume
- 40
- Issue
- 17
- Pages
- 4626-4632
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W2098445064
- Cited by
- 410
- References
- 3
- FWCI
- 40.45
- Type
- journal article
- Language
- en
- Open access
- green
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- Wada, Y., Wisser, D., Eisner, S., Flörke, M., Gerten, D., Haddeland, I., Hanasaki, N., Masaki, Y., Portmann, F. T., Stacke, T., Tessler, Z., & Schewe, J. (2013). Multimodel projections and uncertainties of irrigation water demand under climate change. Geophysical Research Letters. https://doi.org/10.1002/grl.50686
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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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