Observed changes in Canada's snowfall as inferred from precipitation and daily mean temperatures

dc.contributor.authorQian, Budong
dc.contributor.authorWang, Xiaolan
dc.contributor.authorZwiers, Francis W.
dc.contributor.authorFeng, Yang
dc.date.accessioned2026-05-26T18:58:29Z
dc.date.available2026-05-26T18:58:29Z
dc.date.issued2026
dc.description.abstractLimited long-term snowfall observations make it difficult to document how snowfall is changing across Canada. Proxy snowfall measures derived from more plentiful temperature and precipitation may therefore be helpful. We consider simple partitioning of daily precipitation into rainfall and snowfall based on whether temperature is above or below either 0°C or a station specific threshold. Using daily mean temperature and the fixed 0°C threshold resulted in more accurate estimates of annual and seasonal snow-day number and water equivalent snowfall amount than using daily maximum or daily minimum temperature. Using station-specific thresholds further improved estimation accuracy. Trends estimated from these proxy snowfall indices well match those estimated from observed snowfall data for periods and locations when both are available. The median annual proxy snowfall amount in Canada derived from homogenized daily precipitation and temperature data decreased 2.5% per decade over 1949–2023 south of 60°N and increased 0.5% per decade north of 60°N. Seasonally, annual proxy snowfall amount has changed most rapidly in winter, declining 2.6% per decade in southern Canada and increasing 3.6% per decade in northern Canada. This simple approach improves prospects for the continuation of long-term snowfall monitoring in Canada by exploiting long-term daily precipitation and temperature data.
dc.description.reviewstatusReviewed
dc.description.scholarlevelFaculty
dc.description.sponsorshipThis study was partly supported by Agriculture and Agri-Food Canada Project J-003082 “Assessing diversified crop rotations for reducing GHG emissions, increasing resilience, and adapting to climate change".
dc.identifier.citationQian, B., Wang, X. L., Zwiers, F. W., & Feng, Y. (2026). Observed changes in Canada’s snowfall as inferred from precipitation and daily mean temperatures. Atmosphere-Ocean, 64(2), 132–146. https://doi.org/10.1080/07055900.2025.2586566
dc.identifier.urihttps://doi.org/10.1080/07055900.2025.2586566
dc.identifier.urihttps://hdl.handle.net/1828/23941
dc.language.isoen
dc.publisherAtmosphere-Ocean
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectUN SDG 13: Climate Action
dc.subject#journal article
dc.subjectPacific Climate Impacts Consortium (PCIC)
dc.subjectclimate change
dc.subjectprecipitation partitioning
dc.subjectempirical methods
dc.subjectsnowfall indices
dc.subjectlong-term trends
dc.titleObserved changes in Canada's snowfall as inferred from precipitation and daily mean temperatures
dc.typeArticle

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