Hindawi Advances in Meteorology Volume 2018, Article ID 5404123, 20 pages https://doi.org/10.1155/2018/5404123 Research Article Historical Spatiotemporal Trends in Snowfall Extremes over the Canadian Domain of the Great Lakes Basin Janine A. Baijnath-Rodino and Claude R. Duguay Department of Geography and Environmental Management and Interdisciplinary Centre on Climate Change, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1, Correspondence should be addressed to Janine A. Baijnath-Rodino;
[email protected] Received 20 March 2018; Revised 1 August 2018; Accepted 18 October 2018; Published 10 December 2018 Academic Editor: Stefano Dietrich Copyright © 2018 Janine A. Baijnath-Rodino and Claude R. Duguay. *is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. *e Laurentian Great Lakes Basin (GLB) is prone to snowfall events developed from extratropical cyclones or lake-effect processes. Monitoring extreme snowfall trends in response to climate change is essential for sustainability and adaptation studies because climate change could significantly influence variability in precipitation during the 21st century. Many studies in- vestigating snowfall within the GLB have focused on specific case study events with apparent under examinations of regional extreme snowfall trends. *e current research explores the historical extremes in snowfall by assessing the intensity, frequency, and duration of snowfall within Ontario’s GLB. Spatiotemporal snowfall and precipitation trends are computed for the 1980 to 2015 period using Daymet (Version 3) monthly gridded interpolated datasets from the Oak Ridge National Laboratory.