In: Journal of Hydrology and Hydromechanics, vol. 65, no. 2
Yongwei Liu - Wen Wang - Yiming Hu
Detaily:
Rok, strany: 2017, 123 - 133
Kľúčové slová:
Soil moisture; EnKF; SWAT; ESA CCI SM.
URL originálneho zdroja: http://www.ih.sav.sk/jhh
O článku:
This paper investigates the impact of surface soil moisture assimilation on the estimation of both parameters
and states in the Soil and Water Assessment Tool (SWAT) model using the ensemble Kalman filter (EnKF) method in
upper Huai River basin. The investigation is carried out through a series of synthetic experiments and real world tests
using a merged soil moisture product (ESA CCI SM) developed by the European Space Agency, and considers both the
joint state-parameter updating and only state updating schemes. The synthetic experiments show that with joint stateparameter
update, the estimation of model parameter SOL_AWC (the available soil water capacity) and model states (the
soil moisture in different depths) can be significantly improved by assimilating the surface soil moisture. Meanwhile, the
runoff modeling for the whole catchment is also improved. With only state update, the improvement on runoff modeling
shows less significance and robustness. Consistent with the synthetic experiments, the assimilation of the ESA CCI SM
with joint state-parameter update shows considerable capability in the estimation of SOL_AWC. Both the joint stateparameter
update and the only state update scheme could improve the streamflow modeling although the optimal model
and observation error parameters for them are quite different. However, due to the high vegetation coverage of the study
basin, and the strong spatial mismatch between the satellite and the model simulated soil moisture, it is still challenging
to significantly benefit the runoff estimates by assimilating the ESA CCI SM.
Ako citovať:
ISO 690:
Liu, Y., Wang, W., Hu, Y. 2017. Investigating the impact of surface soil moisture assimilation on state and
parameter estimation in SWAT model based on the ensemble Kalman filter
in upper Huai River basin. In Journal of Hydrology and Hydromechanics, vol. 65, no.2, pp. 123-133. 0042-790X (until 2019) .
APA:
Liu, Y., Wang, W., Hu, Y. (2017). Investigating the impact of surface soil moisture assimilation on state and
parameter estimation in SWAT model based on the ensemble Kalman filter
in upper Huai River basin. Journal of Hydrology and Hydromechanics, 65(2), 123-133. 0042-790X (until 2019) .