What type of study is this?

October 16, 2025

Investigating the Accuracy of Multiple Gridded Precipitation Products and Their Impact on Hydrological Model Behaviors in Indian River Basins

PKPrakrut KansaraJohns Hopkins University VTVinh Ngoc TranOak Ridge National Laboratory MLManh‐Hung LeGoddard Space Flight Center

Key Points

MSWEP showed the highest accuracy in streamflow simulations among various gridded precipitation products.
Validation against rain gauge data highlighted significant differences across precipitation datasets in tropical regions.
The Soil Water Assessment Tool was used to simulate streamflow, analyzing its sensitivity to different precipitation inputs.
Selecting appropriate gridded precipitation products is essential for improving model robustness and interpretation in hydrology.

Abstract

Abstract This study evaluates the utility of gridded precipitation products (GPPs) in hydrological applications across major Central and Southern Indian River Basins (hereafter referred to as IRB). The basins were selected to capture diverse climatic regimes from 2001 to 2020 and assesses the value of each product for driving stream flow simulation using the Soil Water Assessment Tool (SWAT). The GPP datasets include IMD (Indian Meteorological Department), GPM IMERG (Global Precipitation Measurement Integrated Multi-satellite Retrievals for GPM), PERSIANN-CDR (Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks - Climate Data Record), CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations), and MSWEP (Multi-Source Weighted-Ensemble Precipitation). Validation against rain gauge observations revealed varying magnitudes of agreement among GPPs, though no systematic errors were identified. At the grid cell, we observed significant disagreement between GPPs in western regions. At the sub-basin, MSWEP exhibited the greatest heterogeneity in precipitation estimates. For daily streamflow simulation performance, MSWEP demonstrated superior capability in driving hydrological model simulations, followed by IMD and IMERG. However, in the studied tropical monsoon basins, annual peak flow analysis revealed that none of the GPPs adequately captured peak flow values. We used Sobol' indices for global sensitivity analysis, identifying curve number (CN), baseflow alpha factor (ALPHABF), and saturated hydraulic conductivity (SOLK) as key parameters. In conclusion, this study demonstrates that GPPs not only influence the accuracy of streamflow simulations but also play a significant role in impacting the sensitivity of SWAT model parameters, emphasizing the critical importance of careful precipitation data selection in hydrological modeling applications, for optimal application and interpretation.

اسأل الذكاء الاصطناعي

Bookmark

View Full Paper