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Documents dont l'auteur est "Favre, Anne-Catherine"

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Nombre de documents: 7

J

Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (2017). A spatiotemporal model for extreme precipitation simulated by a climate model, with an application to assessing changes in return levels over North America. Journal of the Royal Statistical Society: Series C (Applied Statistics), 66(5), 941-962. Lien externe

Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (avril 2016). A spatio-temporal model for extreme precipitation simulated by a climate model [Présentation]. Dans Theme of the year: uncertainty and causality assessment in modeling extreme and rare events (TOY 2016), Boulder, CO. Non disponible

Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (septembre 2016). A spatio-temporal model for extreme precipitation simulated by a climate model, with an application for assessing changes in return levels over North America [Présentation]. Dans International Commission on Statistical Hydrology Workshop (STAHY 2016 Workshop), Québec, Qc. Non disponible

Jalbert, J., Favre, A.-C., Bélisle, C., & Angers, J.-F. (juillet 2016). A spatio-temporal model for extreme precipitation simulated by a climate model; with an application for assessing changes in return levels over North America [Présentation]. Dans Multivariate and Spatial Extremes, with Environmental Applications, Lancaster, UK. Non disponible

Jalbert, J., Favre, A.-C., Bélisle, C., Angers, J.-F., & Paquin, D. (2015). Canadian RCM projected transient changes to precipitation occurrence, intensity, and return level over north america. Journal of Climate, 28(17), 6920-6937. Lien externe

Jalbert, J., Mathevet, T., & Favre, A.-C. (2011). Temporal uncertainty estimation of discharges from rating curves using a variographic analysis. Journal of Hydrology, 397(1), 83-92. Lien externe

M

Morlot, T., Perret, C., Favre, A.-C., & Jalbert, J. (2014). Dynamic rating curve assessment for hydrometric stations and computation of the associated uncertainties: quality and station management indicators. Journal of Hydrology, 517, 173-186. Lien externe

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