Journal
REMOTE SENSING
Volume 9, Issue 3, Pages -Publisher
MDPI AG
DOI: 10.3390/rs9030302
Keywords
GPM; IMERG; TRMM; TMPA; satellite precipitation; hydrological modeling; Xinanjiang hydrological model
Categories
Funding
- National Key Research and Development Program [2016YFA0601500]
- Special Fund of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering [20145031112]
- National Natural Science Foundation of China [41323001]
- 111 Project from the Ministry of Education and State Administration of Foreign Experts Affairs, P.R. China [B08048]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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Satellite precipitation products from the Global Precipitation Measurement (GPM) mission and its predecessor the Tropical Rainfall Measuring Mission (TRMM) are a critical data source for hydrological applications in ungauged basins. This study conducted an initial and early evaluation of the performance of the Integrated Multi-satellite Retrievals for GPM (IMERG) final run and the TRMM Multi-satellite Precipitation Analysis 3B42V7 precipitation products, and their feasibility in streamflow simulations in the Chindwin River basin, Myanmar, from April 2014 to December 2015 was also assessed. Results show that, although IMERG and 3B42V7 can potentially capture the spatiotemporal patterns of historical precipitation, the two products contain considerable errors. Compared with 3B42V7, no significant improvements were found in IMERG. Moreover, 3B42V7 outperformed IMERG at daily and monthly scales and in heavy rain detections at four out of five gauges. The large errors in IMERG and 3B42V7 distinctly propagated to streamflow simulations via the Xinanjiang hydrological model, with a significant underestimation of total runoff and high flows. The bias correction of the satellite precipitation effectively improved the streamflow simulations. The 3B42V7-based streamflow simulations performed better than the gauge-based simulations. In general, IMERG and 3B42V7 are feasible for use in streamflow simulations in the study area, although 3B42V7 is better suited than IMERG.
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