2025 : Hydrologie
Value of various elements of the hydrological forecasting chain: Is there a successful pathway for improving the overall performance?
by Davidson-Chaput, J., Arsenault, R., Martel, J-L., Troin, M.
Publications et contributions scientifiques
Chez Hydroclimat, la recherche et l’innovation sont au cœur de notre mission. Nous combinons science du climat, hydrologie, hydraulique et intelligence artificielle pour produire des analyses robustes des risques climatiques physiques et de l’adaptation.
Nous portons une démarche fondée sur la transparence et l’intégrité scientifique. Notre R&D s’ancre dans la communauté scientifique internationale, aux côtés de partenaires tels que le CNRS et l’Université Côte d’Azur. Cela renforce le lien entre science, innovation et action publique.
Value of various elements of the hydrological forecasting chain: Is there a successful pathway for improving the overall performance?
by Davidson-Chaput, J., Arsenault, R., Martel, J-L., Troin, M.
Seasonal Bias Correction of Daily Precipitation over France Using a Stitch Model Designed for Robust Representation of Extremes
by Philippe Ear, Elena Di Bernardino Thomas Laloë, Adrien Lambert and Magali Troin
A semi-parametric distribution stitch based on the Berk-Jones test for French daily precipitation bias correction
by Philippe Ear, Elena Di Bernardino Thomas Laloë, Adrien Lambert and Magali Troin
Optimizing Spatial Discretization According to Input Data in the Soil and Water Assessment Tool: A Case Study in a Coastal Mediterranean Watershed
by Mathilde Puche, Magali Troin, Dennis Fox and Paul Royer-Gaspard.
Bénéfices des observations de débit à l’amont pour la prévision des crues à l’aval : assimilation de données dans un modèle de prévision hydrologique semi-distribué
Royer-Gaspard, P., Bourgin, F., Perrin, C., Andréassian, V., De Lavenne, A., Thirel, G., & Tilmant, F.
Improving multi-model ensemble streamflow forecasts by combining lumped, distributed and deep learning hydrological models
William Armstrong, Richard Arsenault, Jean-Luc Martel, Magali Troin, Patrice Dion and Behmard Sabzipour
Evaluation of Five Reanalysis Products over France: Implications for Agro-Climatic Studies.
Er-Rondi, M., Troin, M., Coly, S., Buisson, E., Serlet, L., Azzaoui, N
Sensitivity analysis of the hyperparameters of an ensemble Kalman filter application on a semi-distributed hydrological model for streamflow forecasting
by Sabzipour, , Arsenault, R., Troin, M., Martel, J.-L., Brissette, F
Comparing a long short-term memory (LSTM) neural network with a physically-based hydrological model for streamflow forecasting over a Canadian catchment
Sabzipour, B., Arsenault, R., Troin, M., Martel, J.-L., Brissette, F., Mai, J.,
The PAVICS-Hydro platform: A virtual laboratory for hydroclimatic modelling and forecasting over North America
Arsenault, R., Huard, D., Martel, J.-L., Troin, M., Mai, J., et al.
CMIP5 and CMIP6 Model Projection Comparison for Hydrological Impacts Over North America. Geophysical Research Letters, 49, e2022GL098364
Martel, J.-L. Brissette, F., Troin, M., et al.
Catchment Scale Evaluation of Multiple Global Hydrological Models from ISIMIP2a over North America
by Troin, M., Arsenault, R., Fournier, E., Brissette, F.
Large-sample study of uncertainty of hydrological model components over North America.
by Troin, M., Martel, J., Arsenault, R., Brissette, F.
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years
by Troin, M., Arsenault, R., Brissette, F., Martel, J.
Generating ensemble streamflow forecasts: A review of methods and approaches over the past 40 years. Water Resources Research 57, e2020WR028392.
Troin, M., Arsenault, R., Wood, A., Brissette, F., Martel, J-C.
A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds
by Arsenault, R., Brissette, F., Martel, J.L., Troin, M., Lévesque, G., Davidson-Chaput, J., Castenada, M., Ameli, A., Poulin, A. 2020