Assessment of the Laurentian Great Lakes’ hydrological conditions in a changing climate

Edouard Mailhot (), Biljana Music, Daniel F. Nadeau, Anne Frigon and Richard Turcotte
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Edouard Mailhot: Université Laval
Biljana Music: Université Laval
Daniel F. Nadeau: Université Laval - Department of Civil and Water Engineering
Anne Frigon: Ouranos - Consortium on Regional Climatology and Adaptation to Climate Change
Richard Turcotte: Ministère de l’Environnement et de la Lutte contre les changements climatiques du Québec

Climatic Change, 2019, vol. 157, issue 2, No 3, 243-259

Abstract: Abstract A set of 28 simulations from five regional climate models are used in this study to assess the Great Lakes’ water supply from 1953 to 2100 following emissions scenarios RCP4.5 and 8.5 with a focus on bi-weekly changes in the means and extremes of hydrological variables. Models are first evaluated by comparing annual cycles of precipitation, runoff, evaporation and net basin supply (NBS) with observations. Trends in mean values are then studied for each variable using Theil-Sen’s statistical test. Changes in extreme conditions are analyzed using generalized extreme values distributions for a reference period (1971–2000) and two future periods (2041–2070 and 2071–2100). Ensemble trend results show evaporation increases of 136 and 204 mm (RCP4.5 and RCP8.5) over the Great Lakes between 1953 and 2100. Precipitation increases by 83 and 140 mm and runoff increases by 68 and 135 mm. Trends are not equally distributed throughout the year as seasonal changes differ greatly. As a result, Great Lakes net basin supply is expected to increase in winter and spring and decrease in summer. Over the entire year, NBS increases of 14 and 70 mm are projected for scenarios RCP4.5 and 8.5 respectively by the year 2100. An analysis of extreme values reveals that precipitation and NBS maxima increase by 11 to 27% and 1 to 9% respectively, while NBS minima decrease by 18 to 29% between 1971–2000 and 2041–2100.

Date: 2019
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DOI: 10.1007/s10584-019-02530-6

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