A fine-resolution soil moisture dataset for China in 2002~2018

Soil moisture is one of the key parameters for flood forecast, drought detection, crop yield estimation, weather prediction and hydrological modeling. Passive microwave remote sensing technology can quickly obtain soil moisture over large areas, but the coarse spatial resolution imposes great limitations. In order to improve the temporal and spatial resolution of soil moisture products, we built a spatial weight decomposition model to improve the resolution of soil moisture products. The validation and application analysis indicate that new product can meet application needs. SMC versions 2.0 is on the basis of 1.0 is a blend of precipitation data and an improved global remote-sensing-based surface soil moisture (RSSSM) dataset by https://doi.pangaea.de/10.1594/PANGAEA.912597 for further improvement.