Our research presents an improved method to enhance the understanding and prediction of water flows in rivers and streams, focusing on key runoff components: surface flow, baseflow, and total runoff. Using a streamlined model, the MPS model, we analyzed over 600 catchments in China and the US, demonstrating its accuracy in capturing the spatial and temporal variability of these components. This model offers a practical tool for water resource management.