Received: 12 Nov 2019 – Discussion started: 02 Jan 2020
Abstract. More and more high-resolution data sets are simulated worldwide and used in various research. However, in addition to the improvement in accuracy, the practical significance of the spatial distribution of data must also be considered. Considering that the most accurate water withdrawal data are mainly provided by the state, water is mainly concentrated on artificial surface and cultivated land. Whenever possible, using data published by regional or national governments and interpolating and extending them to specific land uses will maximize data accuracy. Based on this, we provide a set of water withdrawal intensity products from 1960 to 2017 distributed to the administrative units or the corresponding regions. The data set fills the gaps in the multi-year data set of the accurate intensity of water withdrawal. The datasets described in this article are publicly and freely available through the FigShare. The DOI for the data is https://doi.org/10.6084/m9.figshare.10012559.v1 (Yanetal.,2019).
This preprint has been withdrawn.
How to cite. Yan, D., Weng, B., Qin, T., Wang, H., Li, X., Yang, Y., Wang, K., Lv, Z., Wang, J., Li, M., He, S., Liu, F., Liu, S., Bi, W., Xu, T., Shi, X., Man, Z., Sun, C., Liu, M., Wang, M., Huang, Y., Long, H., Niu, Y., Dorjsuren, B., Gedefaw, M., Girma, A., and Abiyu, A.: A dataset of distributed global water withdrawal from 1960 to 2017, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2019-224, 2020.
This paper provides a complete data set of global water withdrawal. There is almost no continuous long series of water withdrawal data globally. Moreover, most of the data released by international organizations is based on national scale and lacks finer regional data. Therefore, appropriate methods are needed to modify the data. This dataset has important practical significance in promoting the harmonious and sustainable development of economy and resources of the world.
This paper provides a complete data set of global water withdrawal. There is almost no...