DOI: 10.5194/hess-21-4825-2017
Scopus记录号: 2-s2.0-85030527453
论文题名: A hydrological prediction system based on the SVS land-surface scheme: Efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin
作者: Gaborit E ; , Fortin V ; , Xu X ; , Seglenieks F ; , Tolson B ; , Fry L ; M ; , Hunter T ; , Anctil F ; , Gronewold A ; D
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2017
卷: 21, 期: 9 起始页码: 4825
结束页码: 4839
语种: 英语
Scopus关键词: Climate change
; Forecasting
; Lakes
; Mesh generation
; Network routing
; Routing protocols
; Runoff
; Stream flow
; Surface measurement
; Calibration algorithm
; Calibration procedure
; Computationally efficient
; Distributed hydrologic model
; Hydrological prediction
; Implementation methodology
; Streamflow prediction
; Streamflow simulations
; Calibration
; calibration
; climate change
; complexity
; computer simulation
; hydrological modeling
; model validation
; precision
; prediction
; river basin
; runoff
; streamflow
; unit hydrograph
; Great Lakes [North America]
; Great Lakes [North America]
; Lake Ontario
; Moira
英文摘要: This work explores the potential of the distributed GEM-Hydro runoff modeling platform, developed at Environment and Climate Change Canada (ECCC) over the last decade. More precisely, the aim is to develop a robust implementation methodology to perform reliable streamflow simulations with a distributed model over large and partly ungauged basins, in an efficient manner. The latest version of GEM-Hydro combines the SVS (Soil, Vegetation and Snow) land-surface scheme and the WATROUTE routing scheme. SVS has never been evaluated from a hydrological point of view, which is done here for all major rivers flowing into Lake Ontario. Two established hydrological models are confronted to GEM-Hydro, namely MESH and WATFLOOD, which share the same routing scheme (WATROUTE) but rely on different land-surface schemes. All models are calibrated using the same meteorological forcings, objective function, calibration algorithm, and basin delineation. GEM-Hydro is shown to be competitive with MESH and WATFLOOD: the NSE √ (Nash-Sutcliffe criterion computed on the square root of the flows) is for example equal to 0.83 for MESH and GEM-Hydro in validation on the Moira River basin, and to 0.68 for WATFLOOD. A computationally efficient strategy is proposed to calibrate SVS: a simple unit hydrograph is used for routing instead of WATROUTE. Global and local calibration strategies are compared in order to estimate runoff for ungauged portions of the Lake Ontario basin. Overall, streamflow predictions obtained using a global calibration strategy, in which a single parameter set is identified for the whole basin of Lake Ontario, show accuracy comparable to the predictions based on local calibration: the average NSE √ in validation and over seven subbasins is 0.73 and 0.61, respectively for local and global calibrations. Hence, global calibration provides spatially consistent parameter values, robust performance at gauged locations, and reduces the complexity and computation burden of the calibration procedure. This work contributes to the Great Lakes Runoff Inter-comparison Project for Lake Ontario (GRIP-O), which aims at improving Lake Ontario basin runoff simulations by comparing different models using the same input forcings. The main outcome of this study consists in a new generalizable methodology for implementing a distributed hydrologic model with a high computation cost in an efficient and reliable manner, over a large area with ungauged portions, using global calibration and a unit hydrograph to replace the routing component. © 2017 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/79040
Appears in Collections: 气候变化事实与影响
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作者单位: Environment Canada, Environmental Numerical Prediction Research (E-NPR), Dorval, Canada; Civil and Environmental Engineering Dpt., University of Waterloo, Waterloo, Canada; Environment Canada, Boundary Water Issues, Burlington, Canada; U.S. Army Corps of Engineers, Detroit District, Great Lakes Hydraulics and Hydrology Office, Detroit, MI, United States; NOAA Great Lakes Environmental Research Laboratory (GLERL), Ann Arbor, MI, United States; Civil and Water Engineering Department, Université LavalQC, Canada
Recommended Citation:
Gaborit E,, Fortin V,, Xu X,et al. A hydrological prediction system based on the SVS land-surface scheme: Efficient calibration of GEM-Hydro for streamflow simulation over the Lake Ontario basin[J]. Hydrology and Earth System Sciences,2017-01-01,21(9)