Exact(2)
Validation results from the modeling exercise show that the merged ecohydrological models were capable of improving streamflow prediction compared to hydrological models alone, while also providing as good estimates of LAI as dynamic vegetation models alone.
Since the Global Precipitation Climatology Center 1 × 1 monthly monitoring product has already been used to adjust TMPA products (Huffman et al. 2007) and the rain gauge stations are sparsely located in the study area, the simple bias-correction method presented in the article is not that effective for improving streamflow simulation accuracy.
Similar(58)
This study examines the capability of RS evapotranspiration (ET) and soil moisture (SM) in calibrating a hydrologic model and its efficacy to improve streamflow predictions.
The hydroclimatic associations identified through the current study may be used to improve streamflow predictability and enhance management of streamflow volumes, several months in advance.
Despite producing improved streamflow simulations in previous studies, the hindcast analysis suggests that the DA method tested may not result in obvious improvements in streamflow forecasts.
Synthetic experiments revealed that accurate ET product can improve the streamflow predictions in catchments with low average runoff.
Inclusion of the lake and Wetlands module improved the streamflow simulations.
The importance and the main contribution of this study is to use of satellite snow products and data preprocessing in ANN to improve the streamflow forecasts for ungauged or data sparse mountainous basins.
Additionally, improved deterministic streamflow predictions and more reliable probabilistic forecasts were generated using different ensemble-based methods, such as the arithmetic ensemble mean, and more advanced Bayesian Model Averaging schemes.
This article presents a study carried out using EnKF based assimilation of coarser-scale SMOS soil moisture retrievals to improve the streamflow simulations and forecasting performance of SWAT model in a large catchment.
Overall, the results of the present study indicate that the passive microwave-based coarser-scale soil moisture products like SMOS hold significant potential to improve the streamflow estimates when assimilating into large-scale distributed hydrological models operating at a daily time step.
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