Error Correction of Multi-Source Weighted-Ensemble Precipitation (MSWEP) over the Lancang-Mekong River Basin

The demand for accurate long-term precipitation data is increasing, especially in the Lancang-Mekong River Basin (LMRB), where ground-based are mostly unavailable and inaccessible a timely manner. Remote sensing reanalysis quantitative products provide unprecedented observations to support water-related research, but these inevitably subject errors. In this study, we propose novel error correction framework that combines from various institutions. NASA Modern-Era Retrospective Analysis Research Applications (AgMERRA), Asian Precipitation Highly-Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Climate Hazards group InfraRed with Stations (CHIRPS), Multi-Source Weighted-Ensemble Version 1.0 (MSWEP), Estimation Remotely Sensed Information using Artificial Neural Networks-Climate Records (PERSIANN) were used. Ground-based 1998 2007 used select correction, remaining 1979–1997 2008–2014 observe validation. resulting MSWEP-QM derived quantile mapping (QM) MSWEP-LS linear scaling (LS) evaluated by statistical indicators hydrological simulation across LMRB. Results show can better capture major annual centers, have excellent results, reduce mean BIAS absolute at most gauges two corrected presented study constitute improved climatological sources, both time space, outperforming five raw gridded products. Among products, terms BIAS, was slightly than grid-scale, point scale, regional it also had results all stations except Strung Treng. During validation period, average value decreased 3.51% 3.4%, respectively. Therefore, recommend be scientific research