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dc.contributor.advisorIreson, Andrewen_US
dc.contributor.advisorWheater, Howarden_US
dc.creatorMoges, Mogesen_US
dc.date.accessioned2015-09-05T12:00:17Z
dc.date.available2015-09-05T12:00:17Z
dc.date.created2015-06en_US
dc.date.issued2015-09-04en_US
dc.date.submittedJune 2015en_US
dc.identifier.urihttp://hdl.handle.net/10388/ETD-2015-06-2133en_US
dc.description.abstractLand surface models (LSMs) simulate vertical fluxes, including evapotranspiration, in a rigorous manner, and are included in atmospheric models, including Regional and Global Circulation Models (RCMs and GCMs). Large-scale hydrological models on the other hand simulate the lateral processes that generate streamflow. Coupling of the two models (referred to as a hydrological land surface model) has the potential to combine the strengths of each. The MESH model developed at Environment Canada is such model that combines the Canadian Land Surface Scheme (CLASS) with a distributed hydrological model called WATFLOOD. In this thesis, the performance of the MESH model was explored using two different runoff generation schemes (i.e., elementary and enhanced runoff generation) and with a priori parameter values and with parameter calibration. The model was tested in the White Gull creek Basin located in the boreal forest, central Saskatchewan using meteorology and flux data recorded at two monitoring stations within the basin for driving and validation. Application of the model with a priori parameter values without calibration resulted in poor performance in simulating both streamflow and evapotranspiration while optimization to calibrate the model to the observed streamflow resulted in a good performance. Streamflow simulation with enhanced runoff generation included performed even better. The optimal model configuration was taken forward for a detailed parameter sensitivity analysis. Univariate analysis was used for pre-screening the parameter space to eliminate insensitive parameters, and subsequently multivariate analysis was performed for a subset of parameters. Vegetation parameters were more identifiable when an objective function measuring the fit to observed latent heat flux was used than when measuring the fit to streamflow. Physiographic and topographic parameters were more identifiable when a streamflow objective function was used. Streamflow was more sensitive to parameter variability than latent heat flux. The use of multiple objective functions to simultaneously constrain the model was explored. Selection of objective function had no significant effect on the simulated evapotranspiration but had some influence on streamflow. Using NSE objective function with streamflow was found to be the most effective way of identifying the best model runs. The additional constraints imposed by evapotranspiration had no impact on the results.en_US
dc.language.isoengen_US
dc.subjectMESH, CLASS, HLSSen_US
dc.titleExploring the Ability of a Distributed Hydrological Land Surface Model in Simulating Hydrological Processes in the Boreal Forest Environmenten_US
thesis.degree.departmentCivil and Geological Engineeringen_US
thesis.degree.disciplineCivil Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Science (M.Sc.)en_US
dc.type.materialtexten_US
dc.type.genreThesisen_US


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