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Integrating satellite observations into hydrologic models has the potential to enhance soil moisture (SM) retrievals at high spatial and temporal resolutions. The hydrological model SWAT can produce spatiotemporally continuous soil moisture product with high resolution. This study proposed to physically couple the SWAT and  Tau-omega  radiative transfer model to retrieve SM with a spatial resolution of 30 m. First, the SWAT model integrated a physically-based SM module was used to simulate hourly SM, from which the brightness temperature ( TB ) at 30 m was obtained by forwardly simulating the  Tau-omega  model. Then, the simulated TB at fine resolution and SMAP TB at coarse resolution were merged by Kalman filter into a disaggregated TB. Finally, SM at 30m resolution was retrieved from the disaggregated  TB . The proposed methods were evaluated over the Lanjiang River Basin. The results show that the retrieved SM is highly correlated with two official SMAP SM products and that it has a better accuracy than five SMAP SM products. Particularly, due to the high resolution, the retrieved product captured the heterogeneity of SM within and among fields, compared to the individual use of the hydrological model or satellite observation. Our proposed approach can aid the decision-making in agricultural management at the field scale.

Coupling SMAP brightness temperature into SWAT hydrological model for 30-m resolution soil moisture retrievals