| Title: | Evaluation of multiple satellite precipitation products and use in hydrological modelling over the Luanhe River Basin, China |
| Authors: | Ren, P., J. Li, P. Feng, Y. Guo and Q. Ma |
| Year: | 2018 |
| Journal: | Water |
| Volume (Issue): | 10(6) |
| Pages: | |
| Article ID: | 677 |
| DOI: | 10.3390/w10060677 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | climate data effects |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 33,700 km^2 portion of the Luanhe River, which drains to the Panjiakou Reservoir in northeast China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | Satellite precipitation products are unique sources of precipitation measurement that
overcome spatial and temporal limitations, but their precision differs in specific catchments and
climate zones. The purpose of this study is to evaluate the precipitation data derived from the
Tropical Rainfall Measuring Mission (TRMM) 3B42RT, TRMM 3B42, and Precipitation Estimation
from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) products over
the Luanhe River basin, North China, from 2001 to 2012. Subsequently, we further explore the
performances of these products in hydrological models using the Soil and Water Assessment
Tool (SWAT) model with parameter and prediction uncertainty analyses. The results show that
3B42 and 3B42RT overestimate precipitation, with BIAs values of 20.17% and 62.80%, respectively,
while PERSIANN underestimates precipitation with a BIAs of -6.38%. Overall, 3B42 has the smallest
RMSE and MAE and the highest CC values on both daily and monthly scales and performs better than
PERSIANN, followed by 3B42RT. The results of the hydrological evaluation suggest that precipitation
is a critical source of uncertainty in the SWAT model, and different precipitation values result in
parameter uncertainty, which propagates to prediction and water resource management uncertainties.
The 3B42 product shows the best hydrological performance, while PERSIANN shows unsatisfactory
hydrological performance. Therefore, 3B42 performs better than the other two satellite precipitation
products over the study area. |
| Language: | English |
| Keywords: | TRMM 3B42RT; TRMM 3B42; PERSIANN; precipitation evaluation; SWAT model; uncertainty analysis |