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IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+

Blackland Research and Extension Center, Texas A&M University, 720 East Blackland Road, Temple, TX 76502, USA
Grassland, Soil & Water Research Laboratory, USDA-ARS, 808 East Blackland Road, Temple, TX 76502, USA
Department of Hydrology and Hydraulic Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium
Department of Land, Air and Water Resources, University of California, Davis, CA 95616, USA
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
School of Forestry and Wildlife Sciences, Auburn University, Auburn, AL 36849, USA
Department of Environmental Sciences and Technology, University of Maryland, College Park, MD 20742, USA
Biological & Agricultural Engineering, Kansas State University, 129 Seaton Hall, Manhattan, KS 66506, USA
USEPA/ORD/NERL, Research Triangle Park, NC 27111, USA
School of Engineering, the University of Newcastle, Callaghan, NSW 2308, Australia
Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park, MD 20740, USA
Author to whom correspondence should be addressed.
Water 2019, 11(8), 1681;
Received: 10 July 2019 / Revised: 1 August 2019 / Accepted: 3 August 2019 / Published: 14 August 2019
(This article belongs to the Section Water Resources Management, Policy and Governance)
For almost 30 years, the Soil and Water Assessment Tool (SWAT) has been successfully implemented to address issues around various scientific subjects in the world. On the other hand, it has been reaching to the limit of potential flexibility in further development by the current structure. The new generation SWAT, dubbed SWAT+, was released recently with entirely new coding features. SWAT+ is designed to have far more advanced functions and capacities to handle challenging watershed modeling tasks for hydrologic and water quality processes. However, it is still inevitable to conduct model calibration before the SWAT+ model is applied to engineering projects and research programs. The primary goal of this study is to develop an open-source, easy-to-operate automatic calibration tool for SWAT+, dubbed IPEAT+ (Integrated Parameter Estimation and Uncertainty Analysis Tool Plus). There are four major advantages: (i) Open-source code to general users; (ii) compiled and integrated directly with SWAT+ source code as a single executable; (iii) supported by the SWAT developer group; and, (iv) built with efficient optimization technique. The coupling work between IPEAT+ and SWAT+ is fairly simple, which can be conducted by users with minor efforts. IPEAT+ will be regularly updated with the latest SWAT+ revision. If users would like to integrate IPEAT+ with various versions of SWAT+, only few lines in the SWAT+ source code are required to be updated. IPEAT+ is the first automatic calibration tool integrated with SWAT+ source code. Users can take advantage of the tool to pursue more cutting-edge and forward-thinking scientific questions. View Full-Text
Keywords: model calibration; SWAT+; IPEAT; optimization model calibration; SWAT+; IPEAT; optimization
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MDPI and ACS Style

Yen, H.; Park, S.; Arnold, J.G.; Srinivasan, R.; Chawanda, C.J.; Wang, R.; Feng, Q.; Wu, J.; Miao, C.; Bieger, K.; Daggupati, P.; Griensven, A.v.; Kalin, L.; Lee, S.; Sheshukov, A.Y.; White, M.J.; Yuan, Y.; Yeo, I.-Y.; Zhang, M.; Zhang, X. IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. Water 2019, 11, 1681.

AMA Style

Yen H, Park S, Arnold JG, Srinivasan R, Chawanda CJ, Wang R, Feng Q, Wu J, Miao C, Bieger K, Daggupati P, Griensven Av, Kalin L, Lee S, Sheshukov AY, White MJ, Yuan Y, Yeo I-Y, Zhang M, Zhang X. IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+. Water. 2019; 11(8):1681.

Chicago/Turabian Style

Yen, Haw, Seonggyu Park, Jeffrey G. Arnold, Raghavan Srinivasan, Celray J. Chawanda, Ruoyu Wang, Qingyu Feng, Jingwen Wu, Chiyuan Miao, Katrin Bieger, Prasad Daggupati, Ann v. Griensven, Latif Kalin, Sangchul Lee, Aleksey Y. Sheshukov, Michael J. White, Yongping Yuan, In-Young Yeo, Minghua Zhang, and Xuesong Zhang. 2019. "IPEAT+: A Built-In Optimization and Automatic Calibration Tool of SWAT+" Water 11, no. 8: 1681.

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