中国高分辨率月尺度灌溉取水数据集 (2000-2020)

CIWW1km 数据集基于一种基于物理-机器学习耦合模型研制。首先通过融合多源遥感观测数据（包括蒸散发和土壤水分产品）与再分析气象数据，基于土壤水分平衡原理，实现了灌溉用水各组成分量的物理一致性估算（Zhang, Che*, et al., 2026）。在此基础上，引入可解释性机器学...

The CIWW1km dataset is developed using a coupled physics-machine learning model. First, by fusing multi-source remote sensing observation data (including evapotranspiration and soil moisture products) with reanalysis meteorological data, and based on the soil water balance principle, a physically consistent estimation of each component of irrigation water use is achieved (Zhang, Che*, et al., 2026). On this basis, interpretable machine learning is introduced...