Next Article in Journal
Coupling Riverbank Filtration with Reverse Osmosis May Favor Short Distances between Wells and Riverbanks at RBF Sites on the River Danube in Hungary
Previous Article in Journal
Five-Year Experimental Study on Effectiveness and Sustainability of a Dry Drainage System for Controlling Soil Salinity
Article Menu
Issue 1 (January) cover image

Export Article

Open AccessArticle
Water 2019, 11(1), 112; https://doi.org/10.3390/w11010112

Improving Alpine Summertime Streamflow Simulations by the Incorporation of Evapotranspiration Data

Center for Earth and Environmental Studies, Texas A&M International University, Laredo, TX 78045, USA
*
Author to whom correspondence should be addressed.
Received: 23 August 2018 / Revised: 19 December 2018 / Accepted: 5 January 2019 / Published: 10 January 2019
(This article belongs to the Section Hydrology)
  |  
PDF [1399 KB, uploaded 10 January 2019]
  |  

Abstract

Over the last decade, autocalibration routines have become commonplace in watershed modeling. This approach is most often used to simulate a streamflow at a basin’s outlet. In alpine settings, spring/early summer snowmelt is by far the dominant signal in this system. Therefore, there is great potential for a modeled watershed to underperform during other times of the year. This tendency has been noted in many prior studies. In this work, the Soil and Water Assessment Tool (SWAT) model was auto-calibrated with the SUFI-2 routine. A mountainous watershed from Idaho was examined (Upper North Fork). In this study, this basin was calibrated using three estimates of evapotranspiration (ET): Moderate Resolution Imagining Spectrometer (MODIS), Simplified Surface Energy Balance, and Global Land Evaporation: the Amsterdam Model. The MODIS product in particular, had the greatest utility in helping to constrain SWAT parameters that have a high sensitivity to ET. Streamflow simulations that utilize these ET parameter values have improved recessional and summertime streamflow performances during calibration (2007 to 2011) and validation (2012 to 2014) periods. Streamflow performance was monitored with standard objective metrics (Bias and Nash Sutcliffe coefficients) that quantified overall, recessional, and summertime peak flows. This approach yielded dramatic enhancements for all three observations. These results demonstrate the utility of this approach for improving watershed modeling fidelity outside the main snowmelt season. View Full-Text
Keywords: evapotranspiration; SWAT; MODIS; GLEAM; SSEBop evapotranspiration; SWAT; MODIS; GLEAM; SSEBop
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Tobin, K.J.; Bennett, M.E. Improving Alpine Summertime Streamflow Simulations by the Incorporation of Evapotranspiration Data. Water 2019, 11, 112.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top