Evaluation of gridded precipitation products in the selected sub-basins of Lower Mekong River Basin

Hydrological and meteorological studies demand accurate, continuous, long-term, reliable, uniformly distributed precipitation data. Considering low density rain gauges with incomplete data in developing nations, a plethora of gridded products (GPPs) have made their place as an alternative to gauge records. However, GPPs house inherent errors depending on the type data, density, gridding algorithm, etc. Hence, it is crucial evaluate them prior application. This study evaluated monthly eight over 17 years (1998-2014) – Asian Precipitation Highly Resolved Observational Data Integration towards Evaluation (APHRODITE), Climate Prediction Center (CPC), Hazards Group InfraRed Station (CHIRPS), Southeast Observed dataset (SA-OBS), Morphing Technique (CMORPH), The Tropical Rainfall Measuring Mission (TRMM)-daily products, Research Unit (CRU), Global Climatology (GPCC). An entropy-based weight calculation for each statistical index compromise programming was employed rank selected sub-basins (Nam Ngum River Basin, NRB, Vietnam Mekong Delta, VMD) Lower Region (LMR) mean six extreme indices. correlation coefficient (r), root square error (RMSE), skilled score (SS), bias were continuous indices probability detection (POD), false alarm ratio (FAR) critical success (CSI) categorical used this study. In terms capturing precipitation, GPCC outweighed all other both studied basins. APHRODITE ranked first daily based algorithm NRB. consistently recorded r between 0.85 0.95, RMSE 50 100 mm/month, SS 0.72 0.90 5 observed stations. Similarly, case VMD, TRMM 0.8 70 0.56 0.9 when 11 NRB VMD can be alternate hydrological studies.