%0 Dataset
%T CIWW1km:China High-Resolution Monthly Irrigation Water Withdrawal Dataset (2000–2020)
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/5e74ffea-2514-41db-b2db-77b9f38449fb
%W NCDC
%R 10.12072/ncdc.nieer.db7058.2026
%A ZHANG Ling
%A CHE Tao 
%A Zhang Kun
%A Zheng Donghai
%A Ma Hui
%A HU yingyi
%A Wang Yixiao
%A ZHAO Yanbo
%A Li Xin
%K Irrigation water;irrigation water intake;CIWW1km;China
%X The CIWW1km dataset was developed based on an innovative physics-constrained estimation framework. By integrating multi-source remote sensing observations (including evapotranspiration and soil moisture products) with reanalysis meteorological data, and grounding the analysis in the soil water balance principle, this framework achieves physically consistent estimates of irrigation water withdrawal components (Zhang, Che*, et al., 2026). Building upon this, interpretable machine learning methods were introduced to optimize the spatiotemporal representation of the physical model outputs, thereby enhancing the overall estimation accuracy (Zhang* et al., 2025). CIWW1km systematically characterizes the spatiotemporal evolution of irrigation water withdrawal in China over the past two decades, providing a critical data foundation for water resources management, agricultural planning, and research on the hydrological cycle under human influence.