NDLI: Multi-Variable SWAT Model Calibration Using Satellite-Based Evapotranspiration Data and Streamflow

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Multi-Variable SWAT Model Calibration Using Satellite-Based Evapotranspiration Data and Streamflow

Content Provider	MDPI
Author	Koltsida, Evgenia Kallioras, Andreas
Copyright Year	2022
Description	In this study, monthly streamflow and satellite-based actual evapotranspiration data (AET) were used to evaluate the Soil and Water Assessment Tool (SWAT) model for the calibration of an experimental sub-basin with mixed land-use characteristics in Athens, Greece. Three calibration scenarios were performed using streamflow (i.e., single variable), AET (i.e., single variable), and streamflow–AET data together (i.e., multi-variable) to provide insights into how different calibration scenarios affect the hydrological processes of a catchment with complex land use characteristics. The actual evapotranspiration data were obtained from the Moderate Resolution Imaging Spectroradiometer (MODIS). The calibration was achieved with the use of the SUFI-2 algorithm in the SWAT-CUP program. The results suggested that the single variable calibrations showed moderately better performance than the multi-variable calibration. However, the multi-variable calibration scenario displayed acceptable outcomes for both streamflow and actual evapotranspiration and indicated reasonably good streamflow estimations (NSE = 0.70; $R^{2}$ = 0.86; PBIAS = 6.1%). The model under-predicted AET in all calibration scenarios during the dry season compared to MODIS satellite-based AET. Overall, this study demonstrated that satellite-based AET data, together with streamflow data, can enhance model performance and be a good choice for watersheds lacking sufficient spatial data and observations.
Starting Page	112
e-ISSN	23065338
DOI	10.3390/hydrology9070112
Journal	Hydrology
Issue Number	7
Volume Number	9
Language	English
Publisher	MDPI
Publisher Date	2022-06-21
Access Restriction	Open
Subject Keyword	Hydrology Remote Sensing Swat Streamflow Modis Evapotranspiration Hydrological Modeling Multi-variable Calibration
Content Type	Text
Resource Type	Article

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