Skip to main content
zenodoopen

Downscaled and bias corrected 10 km water withdrawal of China, 1981-2010

<p>This dataset contains</p> <p>(1) MonthlyDomIndcon_CN_0.1deg_1981-2010.nc -- the 0.1&deg;&nbsp;gridded&nbsp;monthly domestic &amp; industrial&nbsp;water consumption of China</p> <p>(2) MonthlyDomInduse_CN_0.1deg_1981-2010.nc -- the 0.1&deg;&nbsp;gridded&nbsp;monthly domestic &amp; industrial&nbsp;water withdrawal of China</p> <p>(3)&nbsp;MonthlyIrrigation_CN_0.1deg_1981-2010.nc --&nbsp; the 0.1&deg;&nbsp;gridded&nbsp;monthly irrigation water withdrawal of China</p> <p>These data are&nbsp;first spatially downscaled from Huang et al. (2018) (https://doi.org/10.5281/zenodo.1209296) based on population density, GDP and irrigation area, and then bias corrected against provincial-level statistics published by local water agencies. Refer to Huang et al. (2018) and Dong et al. (2022) for more details.</p> <p>Dong, N.,&nbsp;Wei, J.,&nbsp;Yang, M.,&nbsp;Yan, D.,&nbsp;Yang, C.,&nbsp;Gao, H., et al. (2022).&nbsp;Model estimates of China&#39;s terrestrial water storage variation due to reservoir operation.&nbsp;Water Resources Research,&nbsp;58, e2021WR031787.&nbsp;<a href="https://doi.org/10.1029/2021WR031787">https://doi.org/10.1029/2021WR031787</a></p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

ScienceDex for faculty

Your academic CV and NIH biosketch

Make your CV in your school's format and your NIH biosketch from it, then download both as Word files.