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dc.contributor.authorBui, Minh Tuan
dc.contributor.authorLu, Jinmei
dc.contributor.authorNie, Linmei
dc.date.accessioned2022-02-14T10:31:57Z
dc.date.available2022-02-14T10:31:57Z
dc.date.issued2021-04-13
dc.description.abstractThe high-resolution Climate Forecast System Reanalysis (CFSR) data have recently become an alternative input for hydrological models in data-sparse regions. However, the quality of CFSR data for running hydrological models in the Arctic is not well studied yet. This paper aims to compare the quality of CFSR data with ground-based data for hydrological modeling in an Arctic watershed, Målselv. The QSWAT model, a coupling of the hydrological model SWAT (soil and water assessment tool) and the QGIS, was applied in this study. The model ran from 1995 to 2012 with a 3-year warm-up period (1995–1997). Calibration (1998–2007), validation (2008–2012), and uncertainty analyses were performed by the Sequential Uncertainty Fitting Version 2 (SUFI-2) algorithm in the SWAT Calibration Uncertainties Program for each dataset at five hydro-gauging stations within the watershed. The objective function Nash– Sutcliffe coefficient of efficiency for calibration is 0.65–0.82 with CFSR data and 0.55–0.74 with groundbased data, which indicate higher performance of the high-resolution CFSR data than the existing scattered ground-based data. The CFSR weather grid points showed higher variation in precipitation than the ground-based weather stations across the whole watershed. The calculated average annual rainfall by CFSR data for the whole watershed is approximately 24% higher than that by ground-based data, which results in some higher water balance components. The CFSR data also demonstrates its high capacities to replicate the streamflow hydrograph, in terms of timing and magnitude of peak and low flow. Through examination of the uncertainty coefficients P-factors ( 0.7) and R-factors (1.5), this study concludes that CFSR data is a reliable source for running hydrological models in the Arctic watershed Målselv.en_US
dc.identifier.citationBui, Lu, Nie. Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv. Journal of Water and Climate Change. 2021;12(8):3481-3504en_US
dc.identifier.cristinIDFRIDAID 1906789
dc.identifier.doi10.2166/wcc.2021.346
dc.identifier.issn2040-2244
dc.identifier.urihttps://hdl.handle.net/10037/24039
dc.language.isoengen_US
dc.publisherIWA Publishingen_US
dc.relation.ispartofBui, M.T. (2022). Hydrological Modelling and Climate Change Impact Assessment on Future Floods in the Norwegian Arctic Catchments. (Doctoral thesis). <a href=https://hdl.handle.net/10037/26021>https://hdl.handle.net/10037/26021</a>
dc.relation.journalJournal of Water and Climate Change
dc.relation.projectIDinfo:eu-repo/grantAgreement/RCN/KLIMAFORSK/321305/Norway/Dissemination of climate change research outcomes in cold climate regions//en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2021 The Author(s)en_US
dc.titleEvaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselven_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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