Global long-term daily 1 km surface soil moisture dataset with physics-informed machine learning (GSSM 1km)

We use physics-informed machine learning to generate a global, long-term, spatially continuous high resolution dataset of surface soil moisture, using International Soil Moisture Network (ISMN), remote sensing and meteorological data, guided with the knowledge of physical processes impacting soil moisture dynamics. Global Surface Soil Moisture (GSSM1km) provides surface soil moisture (0-5 cm) at 1 km spatial and daily temporal resolution over the period 2000-2020. The root mean square error of GSSM1km in testing set is 0.05 cm3/cm3, and correlation coefficient is 0.9.