Document quand l'auteur est "Latraverse, Marco"

Larabi, Samah; St-Hilaire, André; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Latraverse, Marco (2018). Multi-Criteria Process-Based Calibration Using Functional Data Analysis to Improve Hydrological Model Realism. Water Resources Management , vol. 32 , nº 1. pp. 195-211. DOI: 10.1007/s11269-017-1803-6.

Larabi, Samah; St-Hilaire, André; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179 et Latraverse, Marco (2018). Using Functional Data Analysis to Calibrate and Evaluate Hydrological Model Performance. Journal of Hydrologic Engineering , vol. 23 , nº 7. 04018026. DOI: 10.1061/(ASCE)HE.1943-5584.0001669.

St-Hilaire, André; Boucher, Marie-Amélie; Chebana, Fateh ORCID: https://orcid.org/0000-0002-3329-8179; Ouellet-Proulx, Sébastien; Zhou, Qing Xiao; Larabi, Samah; Dugdale, Stephen J. et Latraverse, Marco (2015). Breathing a new life to an older model: the CEQUEAU tool for flow and water temperature simulations and forecasting. In: 22nd Canadian Hydrotechnical Conference / 22e Conférence canadienne d’hydrotechnique, 29 avril-2 mai 2015, Montréal, Canada.

Martel, Barbara; Ouarda, Taha B. M. J.; Barbet, Marc; Bruneau, Pierre; Latraverse, Marco et Nezhad, Kamali M. (2011). Regional frequency analysis of autumnal floods in the province of Quebec, Canada. Natural Hazards , vol. 59 , nº 2. pp. 681-698. DOI: 10.1007/s11069-011-9789-5.

Chebana, Fateh; Ouarda, Taha B. M. J.; Bruneau, Pierre; Barbet, Marc; El Adlouni, Salah-Eddine et Latraverse, Marco (2009). Multivariate homogeneity testing in a northern case study in the province of Quebec, Canada Hydrological Processes , vol. 23 , nº 12. pp. 1690-1700. DOI: 10.1002/hyp.7304.

Latraverse, Marco; Rasmussen, Peter F. et Bobée, Bernard (2002). Regional estimation of flood quantiles: Parametric versus nonparametric regression models. Water Resources Research , vol. 38 , nº 6. p. 1. DOI: 10.1029/2001WR000677.

Latraverse, Marco (2000). Modélisation additive par polynômes locaux pour la régionalisation des quantiles de crue: approche optimale de régression par région d'influence. Thèse. Québec, Université du Québec, Institut national de la recherche scientifique, Doctorat en sciences de l'eau, 202 p.