DOI: 10.1016/j.jhydrol.2019.124474
论文题名: Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability
作者: Nemri S. ; Kinnard C.
刊名: Journal of Hydrology
ISSN: 221694
出版年: 2020
卷: 582 语种: 英语
英文关键词: Equifinality
; GR4J
; Hydrological model calibration
; Snowmelt
; Spring floods
; Temperature sensitivity
Scopus关键词: Climate change
; Climate models
; Hydrology
; Snow
; Snow melting systems
; Stream flow
; Equifinality
; GR4J
; Hydrological model calibrations
; Snowmelt
; Spring floods
; Temperature sensitivity
; Parameter estimation
; calibration
; climate effect
; hydrological modeling
; parameter estimation
; peak flow
; snow cover
; snow water equivalent
; streamflow
; Canada
; Quebec [Canada]
英文摘要: Having a realistic estimation of snow cover by conceptual hydrological models continues to challenge hydrologists. The calibration of the free model parameters is an unavoidable step and the uncertainties resulting from the use of this optimal set remains a source of concern, especially in forecasting applications and climate changes impact assessments. This study seeks to improve the calibration of the conceptual hydrological model GR4J coupled with the Cemaneige snow model, in order to obtain a more realistic simulation of the snow water equivalent (SWE) and to reduce the uncertainty of the free parameters. The performance of the two models was tested over twelve snow-dominated basins in southern Quebec, Canada. Four calibration strategies were adopted and compared. In the first two strategies, the parameters were calibrated against observed streamflow alone using a local and a global algorithm. In the third and fourth strategies the calibration of snow and hydrological parameters was performed against observed streamflow and snow water equivalent (SWE) measured at snow course transects, first separately, and then with a multiobjective approach. An ensemble of equifinal parameters was used to compare the capacity of the global and multiobjective algorithms to improve the parameters identifiability and to assess the impact of parameter equifinality on the temperature sensitivity of spring peak streamflow. The large number of equifinal parameters found during calibration underscores the importance of structural non-identifiability of the coupled GR4J-Cemaneige model. The inclusion of snow observations within a multiobjective calibration improved the simulation of SWE, the identifiability of the parameters and their correlation with basins characteristics. Parameter equifinality caused a small but non negligible uncertainty in the simulated response of spring peak flow to warming temperatures. Parameter equifinality should be considered in climate impact studies in snow-dominated basins where poorly constrained snow parameters can affect the temperature sensitivity of streamflow. © 2019 Elsevier B.V. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/158992
Appears in Collections: 气候变化与战略
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作者单位: Department of Environmental Sciences, Université du Québec à Trois-Rivières, 3351, boul. des Forges, Trois-Rivières, G8Z 4M3, Canada; Centre for Research on Watershed-Aquatic Ecosystem Interactions, Université du Québec à Trois-Rivières, 3351, boul. des Forges, Trois-Rivières, G8Z 4M3, Canada
Recommended Citation:
Nemri S.,Kinnard C.. Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability[J]. Journal of Hydrology,2020-01-01,582