The study tested a land surface model using soil moisture data from field sites to improve predictions of water movement in the soil. They found that calibrating the model with direct soil properties data performed better than using a function to estimate soil properties. However, both methods still had uncertainties in predicting water movement. The researchers suggest that additional information, like better soil property estimates and direct flux observations, are needed to reduce these uncertainties.