The study found that there is a relationship between soil moisture levels at different depths, which changes over time based on factors like rainfall and soil characteristics. This relationship can be predicted using statistical measures, even when data is sampled infrequently. By using a detailed simulation model, researchers were able to calculate the average soil moisture and its variability for different soil depths over multiple growing seasons. This framework can help predict soil moisture levels based on shallow soil data and daily rainfall.