TY  - Data
T1  - CIWW1km:China High-Resolution Monthly Irrigation Water Withdrawal Dataset (2000–2020)
A1  - ZHANG Ling
A1  - CHE Tao 
A1  - Zhang Kun
A1  - Zheng Donghai
A1  - Ma Hui
A1  - HU yingyi
A1  - Wang Yixiao
A1  - ZHAO Yanbo
A1  - Li Xin
DO  - 10.12072/ncdc.nieer.db7058.2026
PY  - 2026
DA  - 2026-01-09
PB  - National Cryosphere Desert Data Center
AB  - 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.
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/5e74ffea-2514-41db-b2db-77b9f38449fb
ER  -