Evaluation of high-resolution precipitation products (CMORPH-CRT, PERSIANN, and TRMM-3B42RT) and their performances as inputs to the hydrological model

The evolving capabilities of satellite remote sensing have significantly improved the understanding and prediction of hydrological processes. This study investigates the potential of integrating satellite products into the Hydrologic Engineering Center's Hydrologic Modeling System (HEC-HMS) for accurate runoff estimation. This study compares the products of three satellites, CMORPH-CRT, PERSIANN, and TRMM-3B42RT, with gauge-based datasets. In addition, the HEC-HMS model was used to evaluate their potential for modeling in the Shapoor River Basin (SRB CASE STUDY) of the Fars province, Iran. Iran is located in the Middle East where the rate of precipitation is poor and it plays a vital role in people's lives. This analogy was done for a period of 24-h with a spatial resolution of 0.25 × 0.25° latitude/longitude. The output of a quantitative statistical analogy declares that 3B42RT performs better than PERSIANN and CMORPH-CRT. The 3B42RT is showing an overestimation of the average and downpour rates while there is a different behavior in PERSIANN and CMORPH-CRT. The amount of Probability of Detection (POD) was estimated at 70% so that 3B42RT shows the best performance for streamflow simulations and CMORPH-CRT shows the worst performance over SRB CASE STUDY. The performance of all satellite products for streamflow simulations was poor. This simulation has been improved after recalibrating with input-specific precipitation data, but the results are still unreliable and poor, thus making it impossible to substitute sparse data with these products for SRB CASE STUDY.