Case Studies
Aug 26, 2023

Evaluating Direct Assimilation of Satellite-Based Potential Evapotranspiration into SWAT for Improving Hydrological Modeling

Publication: Journal of Hydrologic Engineering
Volume 28, Issue 11

Abstract

A correct estimation of evapotranspiration (ET) is required to determine the amount of available water in any watershed. Potential evapotranspiration (PET) is used to estimate actual evapotranspiration (AET). The Soil and Water Assessment Tool (SWAT) has different methods to compute PET; in data-scarce watersheds hydrological modeling is typically challenging. Although there are a lot of remotely sensed PET (RS-PET) data, validation of hydrological models using these data has rarely been studied in such watersheds. Thus, the purpose of this paper is to assess the impacts of direct assimilation of RS-PET on water balance components using SWAT for a basin in Iran with limited data. To this end, we changed the SWAT source code to automatically integrate RS-PET data. The performance of the model was then evaluated using streamflow data and AET for the period 2001–2005. The results reveal that the Default PET model overestimates soil moisture, underestimates AET, and ultimately fails to appropriately capture streamflow at the watershed’s outlet. However, by incorporating RS-PET, the model improves the accuracy of PET, AET, soil moisture, and streamflow. For example, in the Default PET scenario, the Nash–Sutcliffe efficiency streamflow was 0.66, whereas it was 15% higher in the RS-PET scheme. The findings also demonstrate the SWAT parameters’ sensitivity to PET values and the efficiency of RS-PET in enhancing hydrologic modeling in regions with limited data.

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Data Availability Statement

Some or all data and models that support the findings of this study are available from the corresponding author upon reasonable request.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 28Issue 11November 2023

History

Received: Oct 18, 2022
Accepted: Jun 5, 2023
Published online: Aug 26, 2023
Published in print: Nov 1, 2023
Discussion open until: Jan 26, 2024

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Seyedbamdad Ghafourian [email protected]
Ph.D. Student, Dept. of Civil Engineering, Roudehen Branch, Islamic Azad Univ., Roudehen 3973188981, Iran. Email: [email protected]
Babak Aminnejad [email protected]
Assistant Professor, Dept. of Civil Engineering, Roudehen Branch, Islamic Azad Univ., Roudehen 3973188981, Iran (corresponding author). Email: [email protected]
Hossein Ebrahimi [email protected]
Assistant Professor, Dept. of Water Science and Engineering, Shahr-Ghods Branch, Islamic Azad Univ., Shahr-Ghods 196151194, Iran. Email: [email protected]

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