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Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S

Author

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  • Vinit Sehgal

    (Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA
    Now at Water Management and Hydrological Science, Texas A&M University, College Station, TX 77840, USA)

  • Venkataramana Sridhar

    (Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA)

  • Luke Juran

    (Department of Geography and the Virginia Water Resources Research Center, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA)

  • Jactone Arogo Ogejo

    (Department of Biological Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA)

Abstract

This study provides high-resolution modeling of daily water budget components at Hydrologic Unit Code (HUC)-12 resolution for 50 watersheds of the South Atlantic Gulf (SAG) region in the southeastern U.S. (SEUS) by implementing the Soil and Water Assessment Tool (SWAT) model in the form of a near real-time, semi-automated framework. A near real-time hydrologic simulation framework is implemented with a lead time of nine months (March–December 2017) by integrating the calibrated SWAT model with National Centers for Environmental Prediction coupled forecast system model version 2 (CFSv2) weather data to forecast daily water balance components. The modeling exercise is conducted as a precursor for various future hydrologic studies (retrospective or forecasting) for the region by providing a calibrated hydrological dataset at high spatial (HUC-12) and temporal (1-day) resolution. The models are calibrated (January 2003–December 2010) and validated (January 2011–December 2013) for each watershed using the observed streamflow data from 50 United States Geological Survey (USGS) gauging stations. The water balance analysis for the region shows that the implemented models satisfactorily represent the hydrology of the region across different sub-regions (Appalachian highlands, plains, and coastal wetlands) and seasons. While CFSv2-driven SWAT models are able to provide reasonable performance in near real-time and can be used for decision making in the region, caution is advised for using model outputs as the streamflow forecasts display significant deviation from observed streamflow for all watersheds for lead times greater than a month.

Suggested Citation

  • Vinit Sehgal & Venkataramana Sridhar & Luke Juran & Jactone Arogo Ogejo, 2018. "Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern U.S," Sustainability, MDPI, vol. 10(9), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:9:p:3079-:d:166507
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    References listed on IDEAS

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    1. Ali Suliman & Milad Jajarmizadeh & Sobri Harun & Intan Mat Darus, 2015. "Comparison of Semi-Distributed, GIS-Based Hydrological Models for the Prediction of Streamflow in a Large Catchment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(9), pages 3095-3110, July.
    2. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    3. Yan Yang & Guoqiang Wang & Lijing Wang & Jingshan Yu & Zongxue Xu, 2014. "Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir," PLOS ONE, Public Library of Science, vol. 9(11), pages 1-15, November.
    4. Hanjra, Munir A. & Qureshi, M. Ejaz, 2010. "Global water crisis and future food security in an era of climate change," Food Policy, Elsevier, vol. 35(5), pages 365-377, October.
    5. Hyunwoo Kang & Venkataramana Sridhar, 2018. "Improved Drought Prediction Using Near Real-Time Climate Forecasts and Simulated Hydrologic Conditions," Sustainability, MDPI, vol. 10(6), pages 1-29, May.
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    Cited by:

    1. Kang, Hyunwoo & Sridhar, Venkataramana & Mills, Bradford F. & Hession, W. Cully & Ogejo, Jactone A., 2019. "Economy-wide climate change impacts on green water droughts based on the hydrologic simulations," Agricultural Systems, Elsevier, vol. 171(C), pages 76-88.
    2. Alberto Martínez-Salvador & Agustín Millares & Joris P. C. Eekhout & Carmelo Conesa-García, 2021. "Assessment of Streamflow from EURO-CORDEX Regional Climate Simulations in Semi-Arid Catchments Using the SWAT Model," Sustainability, MDPI, vol. 13(13), pages 1-23, June.

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