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Federated Research Data Repository / dépôt fédéré de données de recherche
Wolfe, Jared; Whitfield, Colin J.; Shook, Kevin R.; Spence, Chris 2024-03-27 Shapefile detailing classified prairie watersheds (n = 4175) according to physiographic characteristics. These characteristics were assembled from a variety of sources, including remote sensed data and government databases. Variables included climatic (annual precipitation, potential evapotranspiration), physical (slope, elevation), surficial geology, wetland (density, size distribution), and land cover/use data. Watersheds were classified using a hierarchical clustering on principal components analysis. As a result, seven distinct classes of watersheds were identified. The dataset defines two classifications schemes: (1) Integrated Watershed Classification, and (2) Land Cover Watershed Classification. The schemes differ as the latter was performed without climatic variables. As such, the land cover approach is suited for applications where local climate is forced using other data sources (e.g., hydrological modelling). The integrated classification is suited for general applications. The associated manuscript, which includes methods and data sources, can be found here: https://doi.org/10.5194/hess-23-3945-2019 https://creativecommons.org/licenses/by/4.0/
Global Water Futures (FRDR) Translation missing: fr.blacklight.search.logo
Federated Research Data Repository / dépôt fédéré de données de recherche
He, Zhihua; Spence, Christopher; Shook, Kevin R.; Whitfield, Colin J.; Pomeroy, John W; Wolfe, Jared 2024-03-27 The dataset is comprised of inputs to and outputs from the Cold Regions Hydrological Model (CRHM) when it was run as a virtual model of the High Elevation Grasslands class, as defined by Wolfe et al. (2019). These watersheds represented typified prairie watersheds based on physiogeography and coherent response to environmental change. Model parameters were informed by the results of Wolfe et al. (2019). The .prj files necessary to run the virtual models are included in the dataset. Climate forcing data are from the Adjusted and Homogenized Canadian Climate Dataset from a cohort of stations contained within each watershed class and cover a period from 1960-2006. There are a series of climate sensitivity scenarios that include applying a delta method to the original climate data (i.e., 1°C increments of warming, and -20%, +10%, +20% and +30% of precipitation). Model output includes hourly catchment outflow, rainfall, snowfall, snow sublimation and snow water equivalent for the baseline and each scenario.

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