Articles | Volume 20, issue 1
https://doi.org/10.5194/tc-20-333-2026
https://doi.org/10.5194/tc-20-333-2026
Research article
 | 
19 Jan 2026
Research article |  | 19 Jan 2026

Bias-adjusted projections of snow cover over eastern Canada using an ensemble of regional climate models

Émilie Bresson, Éric Dupuis, and Pascal Bourgault

Data sets

PINS: Bias-adjusted projections of snow cover over the Quebec Province using an ensemble of regional climate models Éric Dupuis et al. https://doi.org/10.5281/zenodo.16422789

ERA5-Land hourly data from 1950 to present J. Muñoz Sabater https://doi.org/10.24381/cds.e2161bac

Model code and software

PINS: Bias-adjusted projections of snow cover over the Quebec Province using an ensemble of regional climate models Éric Dupuis et al. https://doi.org/10.5281/zenodo.16422789

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Short summary
As climate changes, the need for easily accessible high resolution and unbiased projections of snow cover indices to develop adaptation plans increases. We produced such dataset for eastern Canada and made it publicly available. The analysis of the snow cover projection in Quebec up to the year 2100 revealed the following changes: a shortening of the snow season; a decrease of the maximum snow amount in the south and an increase in the north; more interruptions of the snow season in the south.
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