| Title: | Comparison study of multiple precipitation forcing data on hydrological modeling and projection in the Qujiang River Basin |
| Authors: | Song, Y., J. Zhang, X. Meng, Y. Zhou, Y. Lai and Y. Cao |
| Year: | 2020 |
| Journal: | Water |
| Volume (Issue): | 12(9) |
| Pages: | |
| Article ID: | 2626 |
| DOI: | 10.3390/w12092626 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate data effects |
| Secondary Application Category: | climate change |
| Watershed Description: | 38,900 km^2 Qujiang River, a tributary of the Jialing River (and larger Yangtze River system) which drains part of the eastern portion of Sichuan Province and the City of Chongqing in central China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | As a key factor in the water cycle and climate change, the quality of precipitation
data directly affects the hydrological processes of the river basin. Although many precipitation
products with high spatial and temporal resolutions are now widely used, it is meaningful and
necessary to investigate and evaluate their merits and demerits in hydrological applications. In this
study, two satellite-based precipitation products (Tropical Rainfall Measurement Mission, TRMM;
Integrated Multi-satellite Retrievals for GPM, IMERG) and one reanalysis precipitation product (China
Meteorological Assimilation Driving Datasets for the Soil and Water Assessment Tool (SWAT) model,
CMADS) are studied to compare their streamflow simulation performance in the Qujiang River Basin,
China, using the SWAT model with gauged rainfall data as a reference. The main conclusions are as
follows: (1) CMADS has stronger precipitation detection capabilities compared to gauged rainfall,
while TRMM results in the most obvious overestimation in the four sub-basins. (2) In daily and
monthly streamflow simulations, CMADS + SWAT mode offers the best performance. CMADS and
IMERG can provide high quality precipitation data for data-scarce areas, and IMERG can effectively
avoid the overestimation of streamflow caused by TRMM, especially on a daily scale. (3) The runoff
projections of the three modes under RCP (Representative Concentration Pathway) 4.5 was higher
than that of RCP 8.5 on the whole. IMERG + SWAT overestimates the surface water resources of the
basin compared to CMADS + SWAT, while TRMM + SWAT provides the most stable uncertainty.
These findings contribute to the comparison of the differences among the three precipitation products
and provides a reference for the selection of precipitation data in similar regions. |
| Language: | English |
| Keywords: | precipitation; CMADS; IMERG; TRMM; SWAT model; runoff projection |