Next Article in Journal
Improved Real-Time Natural Hazard Monitoring Using Automated DInSAR Time Series
Previous Article in Journal
Multitemporal Water Extraction of Dongting Lake and Poyang Lake Based on an Automatic Water Extraction and Dynamic Monitoring Framework
Article

Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China

School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
*
Author to whom correspondence should be addressed.
Academic Editor: Hyun-Han Kwon
Remote Sens. 2021, 13(5), 866; https://doi.org/10.3390/rs13050866
Received: 21 December 2020 / Revised: 18 February 2021 / Accepted: 22 February 2021 / Published: 25 February 2021
(This article belongs to the Section Remote Sensing in Geology, Geomorphology and Hydrology)
As a supplement to gauge observation data, many satellite observations have been used for hydrology and water resource research. This study aims to analyze the quality of the Integrated Multisatellite Retrieval for Global Precipitation Measurement (GPM IMERG) products and their hydrological utility in the Xinfengjiang River reservoir basin (XRRB), a mountainous region in southern China. The grid-based soil and water assessment tool (SWAT) model was used to construct a hydrological model of the XRRB based on two scenarios. The results showed that on a daily scale, the IMERG final run (FR) product was more accurate than the others, with Pearson’s correlation coefficients (CORR) of 0.61 and 0.71 on the grid accumulation scale and the average scale, respectively, and a relative bias (BIAS) of 0.01. In Scenario I (the SWAT model calibrated by rain gauge data), the IMERG-based simulation showed acceptable hydrologic prediction ability on the daily scale and satisfactory hydrological performance on the monthly scale. In Scenario II (the SWAT model calibrated by the FR), the hydrological performances of the FR on the daily and monthly scales were slightly better than those in Scenario I (the CORR was 0.64 and 0.85, the BIAS was 0.01 and −0.02, and the NSE was 0.43 and 0.84). These results showed the potential of the FR for hydrological modeling in tropical mountain watersheds in areas where information is scarce. This study is useful for hydrological, meteorological, and disaster studies in developing countries or remote areas with sparse or low-quality networks of ground-based observation stations. View Full-Text
Keywords: GPM; IMERG; hydrological utility; SWAT model; rainfall–runoff modeling GPM; IMERG; hydrological utility; SWAT model; rainfall–runoff modeling
Show Figures

Graphical abstract

MDPI and ACS Style

Li, X.; Chen, Y.; Deng, X.; Zhang, Y.; Chen, L. Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China. Remote Sens. 2021, 13, 866. https://doi.org/10.3390/rs13050866

AMA Style

Li X, Chen Y, Deng X, Zhang Y, Chen L. Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China. Remote Sensing. 2021; 13(5):866. https://doi.org/10.3390/rs13050866

Chicago/Turabian Style

Li, Xue, Yangbo Chen, Xincui Deng, Yueyuan Zhang, and Lingfang Chen. 2021. "Evaluation and Hydrological Utility of the GPM IMERG Precipitation Products over the Xinfengjiang River Reservoir Basin, China" Remote Sensing 13, no. 5: 866. https://doi.org/10.3390/rs13050866

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop