William Schertzer

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Calibration of hydrological models is an essential step for these models to simulate real world conditions as close as possible. Calibration is a tedious and timeconsuming process. An auto-calibration algorithm developed by Duan et al. [1] has been successfully used in hydrological modeling area. This algorithm suffers from high computational cost for(More)
Under a Canadian Foundation for Climate and Atmospheric Sciences (CFCAS) project, targeted to study the feasibility to link regional climate models with lake models, one of the tasks was to consider such a coupling in large lakes. The objective is to provide detailed information on temperature a nd circulation distributions of the lake to take into account(More)
Hydrological models have been increasing in complexity over the years. These models rely on their calibration to simulate real world conditions as close as possible. Calibration is a tedious and time-consuming process. An auto-calibration algorithm (SCE-UA) developed by Duan et al. [1992], has been successfully used in hydrological modeling area. This is a(More)
Canada has several of Earth's largest lakes and many small lakes. Heat storage and circulation are greatly affected by lakes. Currently the Canadian Regional climate model does not incorporate a lake component. Therefore, we are linking atmospheric and lake models for such applications as climate prediction and assessing changes in the lake water quality(More)
Parallel computing is a very useful tool for computing intensive and time constrained real time problems. Depending on the size of the grid and processors available in the cluster, a group of nodes or processes in the grid can be represented by an individual processor and it can be responsible for their computational needs. This increases the accuracy of(More)
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