Hydrologic Validation of MERGE Precipitation Products over Anthropogenic Watersheds
Open Access
- 29 April 2020
- Vol. 12 (5), 1268
- https://doi.org/10.3390/w12051268
Abstract
Satellite rainfall estimates (SRFE) are a promising alternative for the lack of reliable, densely distributed, precipitation data common in developing countries and remote locations. SRFE may be significantly improved when corrected based on rain gauge data. In the present study the first complete validation of the Tropical Rainfall Measuring Mission (TRMM) 3B42-based MERGE product is performed by means of ground truthing and hydrological modeling-based applications. Four distinct, highly anthropogenic watersheds were selected in the Upper Paraíba do Sul River Basin (UPSRB)—Brazil. The results show that when compared to TRMM Multi-Satellite Precipitation Analysis (TMPA) 3B42V7 at the watershed scale, MERGE has a higher correlation with observed data. Likewise, root mean square errors and bias are significantly lower for MERGE products. When hydrologically validated, MERGE-based streamflow simulations have shown the capacity of reproducing the overall hydrological regime with “good” to “very good” results for the downstream lowland sections. Limitations were observed in the hydrological modeling of the upstream, highly anthropogenic, dammed watersheds. However, such limitations may not be attributed to MERGE precipitation since they were also obtained for the individually calibrated rain gauge-based simulations. The results indicate that the used MERGE dataset as a hydrological model input is better suited for application in the UPSRB than the TMPA 3B42V7.This publication has 45 references indexed in Scilit:
- Evaluation of TRMM Multi-satellite Precipitation Analysis (TMPA) performance in the Central Andes region and its dependency on spatial and temporal resolutionHydrology and Earth System Sciences, 2011
- Combining TRMM and Surface Observations of Precipitation: Technique and Validation over South AmericaWeather and Forecasting, 2010
- Understanding the Scale Relationships of Uncertainty Propagation of Satellite Rainfall through a Distributed Hydrologic ModelJournal of Hydrometeorology, 2010
- Evaluation of remote‐sensing‐based rainfall products through predictive capability in hydrological runoff modellingHydrological Processes, 2009
- Comparison of CMORPH and TRMM-3B42 over Mountainous Regions of Africa and South AmericaPublished by Springer Science and Business Media LLC ,2009
- Using SWAT to Model Streamflow in Two River Basins With Ground and Satellite Precipitation Data1Jawra Journal of the American Water Resources Association, 2009
- Evaluation of Multi-Satellite TRMM Derived Rainfall Estimates over a Western State of IndiaJournal of the Meteorological Society of Japan. Ser. II, 2009
- Thailand Daily Rainfall and Comparison with TRMM ProductsJournal of Hydrometeorology, 2008
- The MGB-IPH model for large-scale rainfall—runoff modellingHydrological Sciences Journal, 2007
- Operational testing of hydrological simulation modelsHydrological Sciences Journal, 1986