| Title: | ESA CCI soil moisture assimilation in SWAT for improved hydrological simulation in Upper Huai River Basin |
| Authors: | Liu, Y., W. Wang and Y. Liu |
| Year: | 2018 |
| Journal: | Advances in Meteorology |
| Volume (Issue): | |
| Pages: | |
| Article ID: | 7301314 |
| DOI: | 10.1155/2018/7301314 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | groundwater and/or soil water impacts/processes |
| Secondary Application Category: | hydrologic assessment |
| Watershed Description: | 16,000 km^2 Upper Huai River, a tributary of the Huai River, located in northeast China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Abstract: | The assimilation of satellite soil moisture (SM) products with coarse resolution is promising in improving rainfall-runoff
modeling, but it is largely impacted by the data assimilation (DA) strategy. This study performs the assimilation of a satellite soil
moisture product from the European Space Agency (ESA) Climate Change Initiative (CCI) in a physically based semidistributed
hydrological model (SWAT) in the upper Huai River basin in China, with the objective to improve its rainfall-runoff simulation.
In this assimilation, the ensemble Kalman filter (EnKF) is adopted with full consideration of the model and observation error, the
rescaling technique for satellite SM, and the regional applicability of the hydrological model. The results show that the ESA CCI
SM assimilation generally improves the streamflow simulation of the study catchment. It is more effective for low-flow simulation,
while for very high-flow/large-flood modeling, the DA performance shows uncertainty. The less-effective performance on large flood
simulation lies in the relatively low dependence of rainfall-runoff generation on the antecedent SM as during which the SM is
nearly saturated and the runoff is largely dominated by precipitation. Besides, the efficiency of DA is deteriorated by the dense
forest coverage and the complex topography conditions of the basin. Overall, the ESA CCI SM assimilation improves the
streamflow simulation of the SWAT model in particular for low flow.
This study provides an encouragement for the application of
the ESA CCI SM in water management, especially over low-flow periods. |
| Language: | English |
| Keywords: | |