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Modelling the spatial characteristics of hydrometeorology in the Upper Oldman River Basin, Alberta

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dc.contributor.advisor Byrne, James
dc.contributor.author Sheppard, Dennis Leslie
dc.contributor.author University of Lethbridge. Faculty of Arts and Science
dc.date.accessioned 2007-04-11T17:42:21Z
dc.date.available 2007-04-11T17:42:21Z
dc.date.issued 1996
dc.identifier.uri http://hdl.handle.net/10133/39
dc.description xi, 178 leaves : ill., maps ; 29 cm. en
dc.description.abstract A characteristic of alpine drainage basins is the very sparse distribution of meteorological recording stations. This study models a contiguous distribution of microclimate and snowpack accumulation in the upper Oldman River basin. To accomplish this goal, gaps between weather recording stations are first filled using a modified MTCLIM climate simulation model in conjunction with the spatial analysis capabilities of the PAMAP geographic information system (GIS). The GIS provides terrain information such as elevation, slope, and aspect on a 100 metre grid as input into the microclimate simulator which, in turn, outputs daily meteorological conditions for a user-defined period of time. The estimation of snowpack accumaltion is achieved with another component of the model which makes use of the modelled microclimate to calculate daily accumulation and ablation on a grid point basis. Simulation results are returned to the GIS for display and spatial analysis. Discussion includes such thngs as the grouping of terrain variables and the derivation of an altitudinal precipitation profile, both of which are required for computational efficiency. While regression analysis indicates a very close relationship between observed and simulated temperature, precipitation is less successfully modelled at the daily time scale. Comparisons of simulated temperature with observed data resulted in an r2 + .94 and are therefore considered very reliable. Daily precipitation comparisons initially indicated a low correlation between observed and simulated data. However, when monthly totals are considered instead, r2 rises to 0.66. When snopack conditions are simulated for several snow pillows in the region, regression analysis with observed data producers r2 values as high as 0.896. en
dc.language.iso en_US en
dc.publisher Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 1996 en
dc.relation.ispartofseries Thesis (University of Lethbridge. Faculty of Arts and Science) en
dc.subject Hydrometeorology -- Alberta -- Oldman River Basin en
dc.subject Water resources development -- Alberta -- Oldman River Basin en
dc.subject Hydrology -- Alberta -- Oldman River Basin en
dc.subject Meteorology -- Alberta -- Oldman River Basin en
dc.subject Dissertations, Academic en
dc.title Modelling the spatial characteristics of hydrometeorology in the Upper Oldman River Basin, Alberta en
dc.type Thesis en
dc.publisher.faculty Arts and Science
dc.publisher.department Department of Geography

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