Automated Organization Profile

Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China

Current S-Index

0.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets in this organization

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Global Gridded Monthly Sectoral Water Use Dataset For 1971-2010

About:The dataset constitutes the first reconstructed global water use data product at sub-annual and sub-national/gridded resolution that is derived from different models and data sources; it was generated by spatially and temporally downscaling country-scale estimates of sectoral water withdrawals from FAO AQUASTAT (and state-scale estimates of USGS for the US). In addition, the industrial sector was disaggregated into manufacturing, mining and cooling of thermal power plants by using historical estimates from GCAM. Downscaling was performed using the output of various models and new modeling approaches, which includes the spatial and temporal downscaling methodologies for water withdrawal in previous studies (Wada et al., 2011; Voisin et al., 2013; Hejazi et al., 2014). For the consumptive water use, irrigation water consumption is reconstructed based on estimates by 4 GHMs and consumptive water use efficiency (the proportion of water consumption to water withdrawal), which is calculated based on simulation of Flörke et al (2013) and USGS estimates, is used to generated global consumptive water use for the remaining sector. Therefore, a global monthly gridded (0.5 degree) sectoral water use dataset for the period 1971–2010, which distinguishes six water use sectors, i.e. irrigation, domestic, electricity generation (cooling of thermal power plants), livestock, mining, and manufacturing, was reconstructed. The detailed descriptions for this dataset are presented in Huang et al. (in review).

Authors

  • Huang, Zhongwei ;
  • Hejazi, Mohamad ;
  • Li, Xinya ;
  • Tang, Qiuhong ;
  • Vernon, Chris ;
  • Leng, Guoyong ;
  • Liu, Yaling ;
  • Döll, Petra ;
  • Eisner, Stephanie ;
  • Gerten, Dieter ;
  • Hanasaki, Naota ;
  • Wada, Yoshihide
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.5281/zenodo.897933February 2018