TY - JOUR
T1 - A distributed model parameter optimization toolbox performing multisite calibration in the lump and distributed mode for the SWAT model
AU - Feng, Qingyu
AU - Chen, Liding
AU - Yang, Lei
AU - Yen, Haw
AU - Wang, Ruoyu
AU - Wu, Feng
AU - Feng, Yang
AU - Raj, Cibin
AU - Engel, Bernard A.
AU - Omani, Nina
AU - Oikonomou, Panagiotis D.
AU - Zia, Asim
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/10
Y1 - 2023/10
N2 - For watersheds with complex stream network or geographical heterogeneity, multisite calibration in the distributed mode is preferred for the SWAT model because parameters for sub-watersheds are calibrated independently. However, existing tools either can only perform calibration in the lump mode by calibrating parameters in identical ways across the whole watershed or perform sequential and cascading calibration. In this study, an open source toolbox named Distributed Model Parameter Optimization Toolbox for the SWAT model (DMPOTSWAT) is developed to perform multisite calibration in both the distributed and lump modes. Other functions including model evaluation with default parameter values, sensitivity analysis, selecting best parameter sets, uncertainty analysis, and visualization of calibration output are also provided. These functions are illustrated with a case study. The development of this new toolbox will facilitate calibrating the SWAT and potentially other hydrologic models in the distributed mode.
AB - For watersheds with complex stream network or geographical heterogeneity, multisite calibration in the distributed mode is preferred for the SWAT model because parameters for sub-watersheds are calibrated independently. However, existing tools either can only perform calibration in the lump mode by calibrating parameters in identical ways across the whole watershed or perform sequential and cascading calibration. In this study, an open source toolbox named Distributed Model Parameter Optimization Toolbox for the SWAT model (DMPOTSWAT) is developed to perform multisite calibration in both the distributed and lump modes. Other functions including model evaluation with default parameter values, sensitivity analysis, selecting best parameter sets, uncertainty analysis, and visualization of calibration output are also provided. These functions are illustrated with a case study. The development of this new toolbox will facilitate calibrating the SWAT and potentially other hydrologic models in the distributed mode.
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U2 - 10.1016/j.envsoft.2023.105785
DO - 10.1016/j.envsoft.2023.105785
M3 - Article
AN - SCOPUS:85168818298
SN - 1364-8152
VL - 168
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105785
ER -