Evaluation of the Climate Forecast System Reanalysis data for hydrological model in the Arctic watershed Målselv
| Autor: | Linmei Nie, Minh Tuan Bui, Jinmei Lu |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Atmospheric Science
arctic region qswat model Watershed 010504 meteorology & atmospheric sciences målselv watershed 0207 environmental engineering 02 engineering and technology Management Monitoring Policy and Law Environmental technology. Sanitary engineering 01 natural sciences GE1-350 020701 environmental engineering uncertainty analysis TD1-1066 0105 earth and related environmental sciences Water Science and Technology Global and Planetary Change ground-based weather data The arctic Environmental sciences Climatology climate forecast system reanalysis (cfsr) Weather data Climate Forecast System Environmental science |
| Zdroj: | Journal of Water and Climate Change, Vol 12, Iss 8, Pp 3481-3504 (2021) |
| Popis: | The 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 ground-based 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. HIGHLIGHTS The high-resolution CFSR dataset has higher performance than the existing scattered ground-based dataset in terms of statistical coefficients, R2, NSE, and RSR.; The CFSR dataset has higher simulation results for some water balance components, e.g., actual evapotranspiration, lateral flow, water yield, etc., than the scattered conventional dataset.; The CFSR demonstrates its high capacities to replicate the streamflow hydrograph.; Uncertainty analysis reveals that CFSR is a reliable weather input for running hydrological models in the Arctic watershed Målselv.; The emerging and open-source QSWAT is a valuable tool for the SWAT scientific community because of its upgraded availability and functionality compared to other SWAT interfaces. |
| Databáze: | OpenAIRE |
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