Simulation of ice phenology on Great Slave Lake, Northwest Territories, Canada

被引:56
作者
Ménard, P
Duguay, CR
Flato, GM
Rouse, WR
机构
[1] Univ Alaska Fairbanks, Inst Geophys, Fairbanks, AK 99775 USA
[2] Univ Laval, Ctr Etud Nord, Lab Teledetect & Modelisat Environm Froids, Ste Foy, PQ G1K 7P4, Canada
[3] Univ Laval, Dept Geog, Ste Foy, PQ G1K 7P4, Canada
[4] Canadian Ctr Climate Modelling & Anal, Atmospher Environm Serv, Victoria, BC V8W 2Y2, Canada
[5] McMaster Univ, Sch Geog & Geol, Hamilton, ON L8S 4K1, Canada
关键词
modelling; lake ice; freeze-up; break-up; ice thickness; Great Slave Lake;
D O I
10.1002/hyp.1230
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
A one-dimensional thermodynamic lake ice model (Canadian Lake Ice Model or CLIMo) is used to simulate ice phenology on Great Slave Lake (GSL) in the Mackenzie River basin, Northwest Territories, Canada. Model simulations are validated against freeze-up and break-up dates, as well as ice thickness and on-ice snow depth measurements made in situ at three sites on GSL (Back Bay near Yellowknife, 1960-91; Hay River, 1965-91; Charlton Bay near Fort Reliance, 1977-90). Freeze-up and break-up dates from the lake ice model are also compared with those derived from SSM/I 85 GHz passive microwave imagery over the entire lake surface (1988-99). Results show a very good agreement between observed and simulated ice thickness and freeze-up/break-up dates over the 30-40 years of observations, particularly for the Back Bay and Hay River sites. CLIMo simulates the ice thickness and annual freeze-up/break-dates with a mean error of 7 cm and 4 days respectively. However, some limitations have been identified regarding the rather simplistic approach used to characterize the temporal evolution of snow cover on ice. Future model improvements will therefore focus on this particular aspect, through linkage or coupling to a snow model. Copyright (C) 2002 John Wiley Sons, Ltd.
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页码:3691 / 3706
页数:16
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