Title: | Evaluation and hydrological utility of the GPM IMERG precipitation products over the Xinfengjiang River Reservoir Basin, China |
Authors: | Li, X., Y. Chen, X. Deng, Y. Zhang and L. Chen |
Year: | 2021 |
Journal: | Remote Sensing |
Volume (Issue): | 13(5) |
Pages: | |
Article ID: | 866 |
DOI: | 10.3390/rs13050866 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | climate data effects |
Secondary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
Watershed Description: | 5,734 km^2 Xinfengjiang River (above the Xinfengjiang Hydraulic Power Station), located in Guangdong Province in southern China. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Abstract: | 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. |
Language: | English |
Keywords: | GPM; IMERG; hydrological utility; SWAT model; rainfall–runoff modeling |