Land-surface hydrology modelling
Cold Region Hydrological Modelling
The U of S has a long history of excellence and innovation in understanding the hydrology of cold climates.
In this GIWS video, John Pomeroy and fellow researchers discuss the hydrological research undertaken at the U of S and its application to understanding prairie processes such as snow melt, flooding and drought.
Modelling Riverine ProcessesKarl-Erich Lindenschmidt explains how the geomorphology of a river and hydro dams influence ice formation, water quality, fish habitat and other processes, and how our institute researchers are modelling these processes.
Integrated Modelling and Watershed Systems Modelling
To better understand climate variability and change, GIWS researchers are running a Pseudo Global Warming simulation for Western Canada. Collaborating with scientists with the National Climate and Atmospheric Research centre in the United States, our researchers are working on an historic climate run (2000 - 2015) and a future climate run to 2100 of Rocky Mountain precipitation and convective precipitation over the Prairies. This translation of precipitation to surface hydrology and flooding information will help to clarify the possible effects of climate change on western Canadian water resources.
Select related papers:
Scaff et al. 2015. Inconsistency in precipitation measurements across Alaska and Yukon border, The Cryosphere Discuss., 9, 3709-3739, doi:10.5194/tcd-9-3709-2015
Statistical DownscalingGIWS researchers have developed statistical downscaling methods for the Prairie Provinces that are improving our ability to generate precipitation and evaporation time-series for future climate scenarios. Detailed multi-model analyses have been made of the North American Regional Climate Change Assessment Program, providing new insights into the current skill levels of regional climate models, and the model uncertainty associated with future projections. Current work on extreme precipitation and drought is building on the IPCC AR5 (Intergovernmental Panel on Climate Change – Fifth Assessment Report) climate model results.
Select related papers:
Asong et al. 2015. Regionalization of precipitation characteristics in the Canadian Prairie Provinces using large-scale atmospheric covariates and geophysical attributes. Stochastic Environmental Research and Risk Assessment, 29: 875-892, doi: 10.1007/s00477-014-0918-z.
Masud et al. 2015. Analysis of meteorological droughts for the Saskatchewan River Basin using univariate and bivariate approaches. Journal of Hydrology, 522: 452-466, doi:10.1016/j.jhydrol.2014.12.058.