Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada

This study evaluates predictive uncertainties in the snow hydrology of the Fraser River Basin (FRB) of British Columbia (BC), Canada, using the Variable Infiltration Capacity (VIC) model forced with several high-resolution gridded climate datasets. These datasets include the Canadian Precipitation A...

Full description

Bibliographic Details
Main Authors: S. U. Islam, S. J. Déry
Format: Article
Language:English
Published: Copernicus Publications 2017-03-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/21/1827/2017/hess-21-1827-2017.pdf
id doaj-3647d824c6e04b5398139a7f07c1b047
record_format Article
spelling doaj-3647d824c6e04b5398139a7f07c1b0472020-11-24T22:37:44ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382017-03-012131827184710.5194/hess-21-1827-2017Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, CanadaS. U. Islam0S. J. Déry1Environmental Science and Engineering Program, University of Northern British Columbia, 3333 University Way, Prince George, BC, V2N 4Z9, CanadaEnvironmental Science and Engineering Program, University of Northern British Columbia, 3333 University Way, Prince George, BC, V2N 4Z9, CanadaThis study evaluates predictive uncertainties in the snow hydrology of the Fraser River Basin (FRB) of British Columbia (BC), Canada, using the Variable Infiltration Capacity (VIC) model forced with several high-resolution gridded climate datasets. These datasets include the Canadian Precipitation Analysis and the thin-plate smoothing splines (ANUSPLIN), North American Regional Reanalysis (NARR), University of Washington (UW) and Pacific Climate Impacts Consortium (PCIC) gridded products. Uncertainties are evaluated at different stages of the VIC implementation, starting with the driving datasets, optimization of model parameters, and model calibration during cool and warm phases of the Pacific Decadal Oscillation (PDO). <br><br> The inter-comparison of the forcing datasets (precipitation and air temperature) and their VIC simulations (snow water equivalent &ndash; SWE &ndash; and runoff) reveals widespread differences over the FRB, especially in mountainous regions. The ANUSPLIN precipitation shows a considerable dry bias in the Rocky Mountains, whereas the NARR winter air temperature is 2 °C warmer than the other datasets over most of the FRB. In the VIC simulations, the elevation-dependent changes in the maximum SWE (maxSWE) are more prominent at higher elevations of the Rocky Mountains, where the PCIC-VIC simulation accumulates too much SWE and ANUSPLIN-VIC yields an underestimation. Additionally, at each elevation range, the day of maxSWE varies from 10 to 20 days between the VIC simulations. The snow melting season begins early in the NARR-VIC simulation, whereas the PCIC-VIC simulation delays the melting, indicating seasonal uncertainty in SWE simulations. When compared with the observed runoff for the Fraser River main stem at Hope, BC, the ANUSPLIN-VIC simulation shows considerable underestimation of runoff throughout the water year owing to reduced precipitation in the ANUSPLIN forcing dataset. The NARR-VIC simulation yields more winter and spring runoff and earlier decline of flows in summer due to a nearly 15-day earlier onset of the FRB springtime snowmelt. <br><br> Analysis of the parametric uncertainty in the VIC calibration process shows that the choice of the initial parameter range plays a crucial role in defining the model hydrological response for the FRB. Furthermore, the VIC calibration process is biased toward cool and warm phases of the PDO and the choice of proper calibration and validation time periods is important for the experimental setup. Overall the VIC hydrological response is prominently influenced by the uncertainties involved in the forcing datasets rather than those in its parameter optimization and experimental setups.http://www.hydrol-earth-syst-sci.net/21/1827/2017/hess-21-1827-2017.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. U. Islam
S. J. Déry
spellingShingle S. U. Islam
S. J. Déry
Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
Hydrology and Earth System Sciences
author_facet S. U. Islam
S. J. Déry
author_sort S. U. Islam
title Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
title_short Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
title_full Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
title_fullStr Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
title_full_unstemmed Evaluating uncertainties in modelling the snow hydrology of the Fraser River Basin, British Columbia, Canada
title_sort evaluating uncertainties in modelling the snow hydrology of the fraser river basin, british columbia, canada
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2017-03-01
description This study evaluates predictive uncertainties in the snow hydrology of the Fraser River Basin (FRB) of British Columbia (BC), Canada, using the Variable Infiltration Capacity (VIC) model forced with several high-resolution gridded climate datasets. These datasets include the Canadian Precipitation Analysis and the thin-plate smoothing splines (ANUSPLIN), North American Regional Reanalysis (NARR), University of Washington (UW) and Pacific Climate Impacts Consortium (PCIC) gridded products. Uncertainties are evaluated at different stages of the VIC implementation, starting with the driving datasets, optimization of model parameters, and model calibration during cool and warm phases of the Pacific Decadal Oscillation (PDO). <br><br> The inter-comparison of the forcing datasets (precipitation and air temperature) and their VIC simulations (snow water equivalent &ndash; SWE &ndash; and runoff) reveals widespread differences over the FRB, especially in mountainous regions. The ANUSPLIN precipitation shows a considerable dry bias in the Rocky Mountains, whereas the NARR winter air temperature is 2 °C warmer than the other datasets over most of the FRB. In the VIC simulations, the elevation-dependent changes in the maximum SWE (maxSWE) are more prominent at higher elevations of the Rocky Mountains, where the PCIC-VIC simulation accumulates too much SWE and ANUSPLIN-VIC yields an underestimation. Additionally, at each elevation range, the day of maxSWE varies from 10 to 20 days between the VIC simulations. The snow melting season begins early in the NARR-VIC simulation, whereas the PCIC-VIC simulation delays the melting, indicating seasonal uncertainty in SWE simulations. When compared with the observed runoff for the Fraser River main stem at Hope, BC, the ANUSPLIN-VIC simulation shows considerable underestimation of runoff throughout the water year owing to reduced precipitation in the ANUSPLIN forcing dataset. The NARR-VIC simulation yields more winter and spring runoff and earlier decline of flows in summer due to a nearly 15-day earlier onset of the FRB springtime snowmelt. <br><br> Analysis of the parametric uncertainty in the VIC calibration process shows that the choice of the initial parameter range plays a crucial role in defining the model hydrological response for the FRB. Furthermore, the VIC calibration process is biased toward cool and warm phases of the PDO and the choice of proper calibration and validation time periods is important for the experimental setup. Overall the VIC hydrological response is prominently influenced by the uncertainties involved in the forcing datasets rather than those in its parameter optimization and experimental setups.
url http://www.hydrol-earth-syst-sci.net/21/1827/2017/hess-21-1827-2017.pdf
work_keys_str_mv AT suislam evaluatinguncertaintiesinmodellingthesnowhydrologyofthefraserriverbasinbritishcolumbiacanada
AT sjdery evaluatinguncertaintiesinmodellingthesnowhydrologyofthefraserriverbasinbritishcolumbiacanada
_version_ 1725715740591390720