| Title: | Evaluation and analysis of grid precipitation fusion products in Jinsha River Basin based on China meteorological assimilation datasets for the SWAT Model |
| Authors: | Guo, D., H. Wang, X. Zhang and G. Liu |
| Year: | 2019 |
| Journal: | Water |
| Volume (Issue): | 11 |
| Pages: | |
| Article ID: | 253 |
| DOI: | 10.3390/w11020253 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate data effects |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 340,000 km^2 Jinsha River, which drains the upper reaches of the Yangtze River and drains portions of the Provinces of Tibet, Qinghai, Sichuan and Yunnan in southwest China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | Highly accurate and high-quality precipitation products that can act as substitutes for
ground precipitation observations have important significance for research development in the
meteorology and hydrology of river basins. In this paper, statistical analysis methods were employed
to quantitatively assess the usage accuracy of three precipitation products, China Meteorological
Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model (CMADS),
next-generation Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG)
and Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA),
for the Jinsha River Basin, a region characterized by a large spatial scale and complex terrain.
The results of statistical analysis show that the three kinds of data have relatively high accuracy
on the average grid scale and the correlation coefficients are all greater than 0.8 (CMADS:0.86,
IMERG:0.88 and TMPA:0.81). The performance in the average grid scale is superior than that in grid
scale. (CMADS: 0.86(basin), 0.6 (grid); IMERG:0.88 (basin),0.71(grid); TMPA:0.81(basin),0.42(grid)).
According to the results of hydrological applicability analysis based on SWAT model, the three
kinds of data fail to obtain higher accuracy on hydrological simulation. CMADS performs best
(NSE:0.55), followed by TMPA (NSE:0.50) and IMERG (NSE:0.45) in the last. On the whole,
the three types of satellite precipitation data have high accuracy on statistical analysis and average
accuracy on hydrological simulation in the Jinsha River Basin, which have certain hydrological
application potential. |
| Language: | English |
| Keywords: | CMADS, IMERG, statistical analysis, SWAT hydrological simulation, Jinsha River Basin |