Enhancing SWAT model predictivity using multi-objective calibration: effects of integrating remotely sensed evapotranspiration and leaf area index

Spatial calibration and uncertainty reduction of the SWAT model using multiple remotely sensed data

“…As a result, many studies have shown a strong connection between ET and LAI [ 26 ]. In compliance with previous studies, the use of both RS-ET and RS-LAI was shown to reduce model uncertainty to enable spatial assessment [ 27 ]. However, their benefits are not well explored in various areas.…”

“…The SWAT simulations were conducted at a daily temporal resolution from 2008 to 2014, considering the availability of RS-ET data from 2010 to 2014. While the simulation period of this study is relatively brief, it stands out from previous similar studies that predominantly utilized temporally coarse RS products (monthly or 8-day intervals) [ 10 , 14 , 15 , 27 ], as daily RS products were employed here. The difference of data temporal frequency would increase the value of this study.…”

“…Previous studies have investigated SWAT improvements using RS-ET or RS-LAI by replacing SWAT simulations with remotely sensed products or using single remotely sensed products [ 10 , 59 , 60 ]. Several studies adopted both types of remotely sensed data [ 27 , 57 , 61 ]. However, our study differed from these previous studies in the type of remotely sensed products and hydrologic models used, the major roles of the remotely sensed products, or in the application purposes ( Table 6 ).…”

“…The main objective of this study is to investigate how two remotely sensed datasets, RS-ET and RS-LAI, could improve hydrologic modeling at the watershed level. This study used daily remotely sensed products to provide new insight on the use of high-temporal remotely sensed products, given that temporally coarse remotely sensed products have been commonly applied in previous studies [ 10 , 14 , 15 , 27 ]. The selected hydrologic model for this study was SWAT (2012 version), primarily due to its extensive integration of remotely sensed products.…”

Comparative Sensitivity Analysis of Hydrology and Relative Corn Yield under Different Subsurface Drainage Design Using DRAINMOD

“…The researchers suggested that model calibration and uncertainty analysis based purely on one variable does not ensure the reliability of hydrological models since water balance elements might need to be more accurately represented [18]. The multi-objective calibration and sensitivity analysis of the hydrological models may reduce the uncertainty and help with the issue of equifinality in the model calibration process [19]. However, a few studies were performed regarding the multi-objective sensitivity analysis of DRAINMOD.…”