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HESS | Articles | Volume 22, issue 4
Hydrol. Earth Syst. Sci., 22, 2117–2133, 2018
https://doi.org/10.5194/hess-22-2117-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 2117–2133, 2018
https://doi.org/10.5194/hess-22-2117-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Research article 06 Apr 2018

Research article | 06 Apr 2018

Reconstruction of global gridded monthly sectoral water withdrawals for 1971–2010 and analysis of their spatiotemporal patterns

Zhongwei Huang et al.
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Cited articles  
Adams, R. M., Rosenzweig, C., Peart, R., Ritchie, J. T., and McCarl, B. A.: Global climate change and US agriculture, Nature, 345, 219–224, 1990. 
Alcamo, J., Döll, P., Henrichs, T., Kaspar, F., Lehner, B., Rösch, T., and Siebert, S.: Development and testing of the WaterGAP 2 global model of water use and availability, Hydrolog. Sci. J., 48, 317–337, 2003. 
Allen, J. C.: A modified sine wave method for calculating degree days, Environ. Entomol., 5, 388–396, 1976. 
Babel, M., Gupta, A. D., and Pradhan, P.: A multivariate econometric approach for domestic water demand modeling: an application to Kathmandu, Nepal, Water Resour. Manage., 21, 573–589, 2007. 
Balling, R. C., Gober, P., and Jones, N.: Sensitivity of residential water consumption to variations in climate: an intraurban analysis of Phoenix, Arizona, Water Resour. Res., 44, W10401, https://doi.org/10.1029/2007WR006722, 2008. 
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This study generate a historical global monthly gridded water withdrawal data (0.5 × 0.5 degrees) for the period 1971–2010, distinguishing six water use sectors (irrigation, domestic, electricity generation, livestock, mining, and manufacturing). This dataset is the first reconstructed global water withdrawal data product at sub-annual and gridded resolution that is derived from different models and data sources, and was generated by spatially and temporally downscaling country-scale estimates.
This study generate a historical global monthly gridded water withdrawal data (0.5 × 0.5...
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