Role Of Satellite Precipitation Products In Real-time Predictions Of Urban Rainfall-runoff By Using Machine Learning Modelling

This study explores the potential of using satellite precipitation products (SPPs) for predicting runoff features such as water level and flow in urban drainage systems (UDS). It specifically focuses on the use of global precipitation measurement (GPM) products for obtaining predictions with longer lead times and higher accuracy. The findings of the study suggest that GPM products can be used to improve the accuracy and lead time of runoff predictions in UDS.