Aller au contenu
Trouver un autre spécialiste

Marie-Amélie Boucher

Professeure, Faculté de génie

FAC. GÉNIE Civil et bâtiment

Présentation

Sujet de recherche

Hydrological Cycle and Reservoirs

Disciplines de recherche

Water and Environment

Mots-clés

Data assimilation, Forecasts pre- and post-processing, Hydrological ensemble forecasting, Hydrological modelling, Socio-economic value of hydrological forecasts, Statistical hydrology, Uncertainty in hydrological processes

Intérêts de recherche

The general theme that encompasses all my research is hydrological ensemble forecasting. Inside this broad topic, several aspects are of particular interest to me: statistical post-processing of forecasts, data assimilation, accurate forecasting of spring freshet peak time and volume, as well as structural uncertainty (attributable to model structure). I am very much interested by decision-making processes in which forecasts are involved and on the socioeconomic value of forecasts. I consider that ensemble streamflow forecasting must be useful for decision making. That consideration must guide the design and implementation of new forecasting systems. I am interested in working with a broad variety of users (hydropower companies, governments, municipalities, citizens, etc.). My research objectives aim at constantly improving the quality of ensemble streamflow forecasts to serve society better.

Langues parlées et écrites

Anglais, Français, Espagnol (castillan)

Diplômes

(2011). Le défi de l'incertitude: de la production de prévisions hydrologiques d'ensemble à leur utilisation opérationnelle (Doctorate, Civil Engineering). Université Laval.

(2006). Modélisation hydrologique probabiliste par réseaux de neurones: calibration de la distribution prédictive (Master's Thesis, Civil Engineering). Université Laval.

(2004). (Bachelor's, Physics). Université de Sherbrooke.

Expérience académique

Full Professor. (2023-). Université de Sherbrooke. Canada.

Associate Professor. (2019-). Université de Sherbrooke. Canada.

Associate Professor. (2016-2017). Université du Québec à Chicoutimi. Canada.

Financement

  • Research Chair. (Under Review). Principal Investigator. Canada Research Chair in hydrological ensemble forecasting. Canada Research Chairs (CRC). 1 400 000 $. (2024-2031)
  • Grant. (Awarded). Principal Investigator. Hydraulic and vulnerability modelling of the Trois-Lacs area in the province of Quebec. Natural Sciences and Engineering Research Council of Canada (NSERC). Alliance. 173 740 $. (2023-2026)
  • Grant. (Awarded). Principal Investigator. Analyse des conditions hydro-météorologiques sous-jacentes aux inondations de 2017 et 2019 au Québec et élaboration d’un modèle de dommages applicable à large échelle. Quebec Ministère de la Sécurité Publique. Appel à projets conjoint avec le ministère de la Sécurité publique. 200 000 $. (2022-2024)
  • Grant. (Under Review). Principal Investigator. A new open source toolbox to merge large scale and local scale forecasts. World Meteorological Organisation (WMO). WMO Hydrological Research Strategy. 100 000 $. (2023-2023)
  • Grant. (Awarded). Principal Investigator. Efficient machine learning techniques for hydrological data assimilation and forecast post-processing. Natural Sciences and Engineering Research Council of Canada (NSERC). Discovery Grants. 180 000 $. (2019-2023)
  • Grant. (Awarded). Co-investigator. Réseau de recherche sur la gestion des risques liés aux inondations dans un contexte de changements climatiques. Fonds de recherche du Québec - Nature et technologies (FRQNT). 500 000 $. (2019-2022)
  • Grant. (Completed). Principal Investigator. Assimilation spatialisée de multiples observations de neige et de débit dans un modèle à grande échelle. Environment and Climate Change Canada. Subvention et contribution d’ECCC. 100 000 $. (2020-2021)
  • Contract. (Completed). Principal Investigator. Combinaison optimale de sources de prévisions hydrologiques en contexte opérationnel. Direction de l’Expertise Hydrique et Atmosphérique du Québec. 40 000 $. (2020-2021)
  • Grant. (Awarded). Co-investigator. CentrEau – Centre québécois de recherche sur la gestion de l’eau. Fonds de recherche du Québec - Nature et technologies (FRQNT). Programme Regroupements stratégiques. 898 500 $. (2019-2021)
  • Grant. (Awarded). Co-investigator. Multi-century reconstruction of streamflow for the Abitibi River basin and estimation of future climate change impacts. (2018-2021)
  • Grant. (Completed). Co-investigator. Évolution du risque hydrologique lié aux événements pluvieux extrêmes – Application des données CLIMEX (Québec-Bavière). (2018-2021)
  • Grant. (Completed). Co-investigator. Préférences en matière de visualisation et mécanismes décisionnels des futurs utilisateurs de l’outil prévisionnel en temps réel des crues. OURANOS. Subventions de recherche d'OURANOS. 300 000 $. (2020-2020)
  • Grant. (Awarded). Principal Investigator. New faculty start-up fund. (2017-2020)
  • Grant. (Completed). Co-investigator. Infrastructure de terrain pour l’étude de la spatialisation de variables hydrologiques. (2018-2019)
  • Contract. (Completed). Principal Investigator.  Vers une amélioration de la production opérationnelle d’estimation de l’équivalent en eau de la neige au sol (PHASE 2). Government of Quebec. 120 000 $. (2018-2019)
  • Grant. (Completed). Principal Investigator. Répartition de l'incertitude dans la prévision probabiliste de la crue printanière et implications pour la gestion de la ressource. (2013-2019)
  • Contract. (Completed). Principal Investigator. Vers une amélioration de la production opérationnelle d’estimation de l’équivalent en eau de la neige au sol. (2017-2018)
  • Grant. (Completed). Principal Investigator. Vers une nouvelle approche de prévision d’ensemble pour les cours d’eau non-jaugés. (2015-2018)
  • Grant. (Completed). Principal Investigator. Élaboration d'un système couplé pour la gestion des réservoirs hydroélectriques sur la rivière Shipshaw. Natural Sciences and Engineering Research Council of Canada (NSERC). Engage Plus. 12 174 $. (2018-2018)
  • Grant. (Completed). Co-investigator. Développement et adaptation d'un outil multi-modules de prévision hydrologique et thermique dans un contexte d'assimilation de données. (2017-2018)
  • Grant. (Completed). Principal Investigator. Développement d’un système de prévision probabiliste opérationnel pour la gestion de l’eau sur la rivière Shipshaw. (2017-2018)
  • Grant. (Completed). Principal Investigator. L'irrigation pour la production de bleuets sauvages au Saguenay Lac St-Jean: faisabilité à partir des eaux souterraines. (2016-2017)
  • Grant. (Completed). Co-investigator. Développement et adaptation d'un outil multi-module de prévision hydrologique et thermique dans un contexte d'assimilation de données.. (2014-2016)
  • Grant. (Completed). Principal Investigator. L’irrigation pour la production de bleuets sauvages au Saguenay-Lac-St-Jean face aux changements climatiques : pertinence et faisabilité à partir des eaux souterraines. (2015-2016)
  • Grant. (Completed). Co-investigator. Climhydro-2 : stratégies d'adaptation des compagnies d'hydroélectricité canadiennes face aux changements climatiques. (2012-2016)
  • Grant. (Completed). Co-investigator. Scientific and operational value of alternative datasets in hydrological science. (2013-2015)
  • Grant. (Completed). Principal Investigator. New faculty start-up fund. (2011-2013)

Publications

Articles de revue

  • Adombi V.*, Chesnaux R., Boucher M-A. (2023). A methodology to explore historical groundwater level changes: illustration with southern Quebec, Canada. Journal of Hydrology: Regional Studies (Submitted).
  • Fontaine N.*, Boucher M-A, Anctil F., Odry J.*, Lachance-Cloutier S., Fortin V., Turcotte R. (2023). Combining global and regional hydrological forecasts using simple methods. Canadian Water Resources Journal (Revision Requested).
  • Mehrvand S.*, Boucher M-A, Kornelsen K. (2023). Comparing three machine learning algorithms with existing methods for natural streamflow estimation. Hydrological Sciences Journal (Revision Requested).
  • Jean V., Boucher M-A, Frini A., Roussel D. (2023). Fully integrating probabilistic flood forecasts into the decision-making process : some factors to consider. Canadian Water Resources Journal (Accepted).
  • Louise Slater, Louise Arnal, Marie-Amélie Boucher, Annie Y.-Y. Chang*, Simon Moulds, Conor Murphy, Grey Nearing, Guy Shalev, Chaopeng Shen, Linda Speight, Gabriele Villarini, Robert L. Wilby, Andrew Wood, Massimiliano Zappa. (2023). Hybrid forecasting: blending climate predictions with AI models. Hydrology and Earth System Sciences 27 1865–1889. (Published).
  • Pouryousefi Markhali S.*, Poulin A., Boucher M-A. (2023). Multi-Scale Flood Simulations Under Climate Change Scenarios. Water Resources Research (Submitted).
  • Nolin A.*, Girardin M., Adamowski J. F. , Barzegar R., Boucher M-A, Tardif J.C., Bergeron Y. (2023). Observed and projected trends in spring flood discharges for the Upper Harricana River, eastern boreal Canada. Journal of Hydrology - Regional studies 48 (Published).
  • Alireza Amani*, Marie-Amélie Boucher, Alexandre Cabral, Vincent Vionnet, Étienne Gaborit. (2023). Process-based simulations of percolation from various landfill final covers in a cold climate. Hydrological Processes (Submitted).
  • Redondo Tilano, Sergio*; Boucher, Marie-Amélie; Lacey, Jay; Parent, Jérémy. (2023). Quantifying changes in floods under different bathymetry conditions for a lake setting. Canadian Journal of Civil Engineering (Submitted).
  • Pouryousefi Markhali S.*, Poulin A., Boucher M-A. (2023). Regionalization of a Distributed Hydrology Model Using Random Forest. Hydrological Sciences Journal (Submitted).
  • Jean V., Boucher M-A, Frini A., Roussel D. (2023). Uncertainty in three dimensions : the challenges of communicating probabilistic flood forecasts maps. Hydrology and Earth System Sciences (Revision Requested).
  • Adombi V.*, Chesnaux R., Boucher M-A. (2022). Comparing numerical modelling, traditional machine learning and theory-guided machine learning in inverse modeling of groundwater dynamics : a first study case application. Journal of Hydrology 615 (Part A), 128600. (Published).
  • Xu J.*, Anctil F., Boucher M-A. (2022). Exploring hydrologic post-processing of ensemble stream flow forecasts based on Affine kernel dressing and Nondominated sorting genetic algorithm II. Hydrology and Earth System Sciences 26 (4), 1001-1017. (Published).
  • Odry J.*, Boucher M-A , Lachance-Cloutier S., Turcotte R., St-Louis P-Y. (2022). Large-scale snow data assimilation using a spatialized particle filter : recovering the spatial structure of the particles. The Cryosphere 16 3489-3506. (Published).
  • Pouryousefi Markhali S.*, Poulin A., Boucher M-A. (2022). Spatio-Temporal Discretization Uncertainty of Distributed Hydrological Models. Hydrological Processes 36 (6), e14635. (Published).
  • Ntokas K.*, Odry J.*, Boucher M-A, Garneau C. (2021). Investigating ANN architectures and training to estimate snow water equivalent from snow depth. Hydrology and Earth System Sciences 25 3017-3040. (Published).
  • Adombi V.*, Chesnaux R., Boucher M-A 2021. (2021). Theory-Guided Machine Learning Applied to Hydrogeology : State of the Art, Opportunities and Future Challenges. Hydrogeology journal 29 2671-2683. (Published).
  • Boucher M.-A., Quilty J. and Adamowski J. (2020). Data assimilation for streamflow forecasting using extreme learning machines and multilayer perceptrons. Water Resources Research 56 (Published).
  • Reig E.*, Boucher M-A and Tremblay E. (2020). Ensemble hydrological forecasts for reservoir management of the Shipshaw River catchment. Canadian Water Resources Journal (Published).
  • Odry J.*, Boucher M-A, Cantet P., Lachance-Cloutier S., Turcotte R. and St-Louis P-Y. (2020). Using artificial neural networks to estimate snow water equivalent from snow depth. Canadian Water Resources Journal 45 (3), 252–268. (Published).
  • Quilty J.*, Adamowski J. and Boucher M.-A. (2019). A stochastic data-driven ensemble forecasting framework for water resources: A case study using ensemble members derived from a database of deterministic wavelet-based models. Water Resources Research 55 (1), 175-202. (Published).
  • Xu J.*, Anctil F. and Boucher M-A. (2019). Hydrological post-processing of streamflow forecasts issued from multimodel ensemble prediction systems. Journal of Hydrology 578 24002-24002. (Published).
  • Xu J.*, Anctil F., Boucher M-A. (2019). Hydrological post-processing of streamflow forecasts issued from multimodel ensemble prediction systems. Journal of Hydrology 578 124002. (Published).
  • Ouellet-Proulx S.*, St-Hilaire A. and Boucher M.-A. (2019). Implication of evaporative losses estimation methods in discharge and water temperature modelling. Hydrological Processes 33 (22), 2867–2884. (Published).
  • Cantet P.*, Boucher M.-A., Turcotte R., Lachance-Cloutier S. and Fortin V. (2019). Using a particle filter to estimate the spatial distribution of the snowpack water equivalent. Journal of Hydrometeorology 20 (4), 577-594. (Published).
  • Ouellet-Proulx S.*, Chimi-Chiadjeu O.*, Boucher M.-A. and St-Hilaire A. (2017). Assimilation of water temperature and discharge for ensemble water temperature forecasting. Journal of Hydrology 554 342-359. (Published).
  • Bajamgnigni Gbambie S.*, Poulin A., Boucher M.-A. and Arsenault R. (2017). Comparison of high resolution precipitation grids for hydrological modelling. Journal of Hydrometeorology 18 (1), 247-264. (Published).
  • Matte S.*, Boucher M.-A., Boucher V. and Fortier-Fillion T.-C. (2017). Moving beyond the cost-loss ratio: Economic assessment of streamflow forecasts for a risk-averse decision maker. Hydrology and Earth System Sciences 21 (6), 2967-2986. (Published).
  • Bazile R.*, Boucher M.-A., Perreault L. and Leconte R. (2017). Verification of ECMWF System 4 for seasonal hydrological forecasting in a northern climate. Hydrology and Earth System Sciences 21 (11), 5747–5762. (Published).
  • Ouellet-Proulx S.*, St-Hilaire A. and Boucher M.-A. (2017). Water temperature ensemble forecasts in the context of river cooling : Implementation of the CEQUEAU model on the Nechako River (Canada). Water 9 457-478. (Published).
  • Thiboult A.*, Anctil F. and Boucher M.-A. (2016). Accounting for three sources of uncertainty in ensemble hydrological forecasting. Hydrology and Earth System Sciences 20 (5), 1809-1825. (Published).
  • Huet M.*, Chesnaux R., Boucher M.-A. and Poirier C. (2016). Comparing the results of various approaches for assessing groundwater recharge at a regional scale: example of four watersheds in the Canadian Shield. Hydrological Sciences Journal 61 (12), 2267-2283. (Published).
  • Boucher M.-A., Perreault L., Anctil F. and Favre A.-C. (2015). Exploratory analysis of statistical post-processing methods for hydrological ensemble forecasts, a comparative study. Hydrological Processes 29 (6), 1141-1155. (Published).
  • Brisson C.*, Boucher M.-A. and Latraverse M. (2015). Illustration of the added value of using a multi-site calibration and correction approach to reconstruct natural inflows and inter-basin transfer flows: a case study. Canadian Journal of Civil Engineering 42 (5), 342-352. (Published).
  • Boucher M.-A. and Leconte R. (2013). Changements climatiques et production hydroélectrique canadienne: où en sommes-nous?. Canadian Water Resources Journal 38 (3), 196-209. (Published).
  • Boucher M.-A., Tremblay D., Delorme L., Perreault L. and Anctil F. (2012). Hydro-economic assessment of hydrological forecasting systems. Journal of Hydrology 416-417 133-144. (Published).
  • Boucher MA*, Tremblay D, Perreault L, Anctil, F. (2011). A comparison between ensemble and deterministic hydrological forecasts in an operational context. Advances in Geosciences 29 85-94. (Published).
  • Boucher MA*, Laliberté JP*, Anctil F. (2010). An experiment on the evolution of an ensemble of neural networks for streamflow forecasting. Hydrology and Earth System Sciences 14 (3), 603-612. (Published).
  • Velázquez JA*, Petit T*, Lavoie A*, Boucher MA*, Turcotte R, Fortin V, Anctil F. (2009). An evaluation of the canadian global meteorological ensemble prediction system for short-term hydrological forecasting. Hydrology and Earth System Sciences 13 (11), 2221-2231. (Published).
  • Boucher MA*, Perreault L, Anctil, F. (2009). Tools for the assessment of hydrological ensemble forecasts obtained by neural networks,. Journal of Hydro-Informatics 11 (3-4), 208-319. (Published).
  • Parent AC, Anctil F, Cantin V*, Boucher MA*. (2008). Neural network input selection for hydrological forecasting affected by snowmelt. Journal of the American Water Resources Association 44 (3), 679-688. (Published).

Chapitres de livre

  • Boucher M-A and Ramos M-H. (2019). Ensemble forecasts for hydropower production. Qingyun Duan, Florian Pappenberger, Jutta Thielen, Andy Wood, Hannah Cloke and John C. Schaake - (eds.). Handbook of Hydrometeorological Ensemble Forecasting (Unknown page range). Springer. (Published).
  • Boucher M-A, Roulin E and Fortin V. (2019). Short-range ensemble forecast post-processing. Qingyun Duan, Florian Pappenberger, Jutta Thielen, Andy Wood, Hannah Cloke and John C. Schaake - (eds.). Handbook of Hydrometeorological Ensemble Forecasting (Unknown page range). Springer. (Published).

Rapports

  • Donald S. Lemmen, Mark Johnston, Catherine Ste-Marie, Tristan Pearce, Marie-Amélie Boucher, Frank Duerden, Jimena Eyzaguirre, James Ford, Robert Leconte, E. A. Nelson, J. Pittman, E. Walsh. (2014). Hydroelectricity in Natural resources in "From Impacts to Adaptation: Canada in a Changing Climate Update 2014". Natural Resources Canada. 27 p.

Ressources en ligne

  • Marie-Amélie Boucher, Vincent Boucher. (2017). Risk aversion and decision making using ensemble forecasts. Site Web.
  • Marie-Amélie Boucher. (2015). Analogues are the new deterministic forecasts. Site Web.
  • Boucher MA. (2015). On the life and death of hydrological models. Site Web.
  • Marie-Amélie Boucher. (2015). Pre-, post-processing or both?. Site Web.
  • Marie-Amélie Boucher. (2015). The human hydrological model. Site Web.
  • Boucher MA. (2014). From operational hydrological forecast to reservoir management optimization. Site Web.
  • Boucher MA, Ramos MH, Zalachori I. (2014). On the economic value of hydrological ensemble forecasts. Site Web.

Articles de conférence

  • Boucher M-A, Jean V., Frini A, and Roussel D. (2023). Visualizing and communicating probabilistic flood forecasts maps for decision-making. European Geoscience Union General Assembly. (Published).
  • Boucher M-A , Jean V., Frini A. and Roussel D. (2023). ommunicating probabilistic flood forecasts maps to different user groupsC. Forecasting across spatial scales and time horizons. (Accepted).
  • Amani A., Boucher M-A, Cabral A.R, and Nadeau D.F. (2022). Assessing the generalization power of three machine learning models and three evapotranspiration formulas using 143 FLUXNET towers data. European Geoscience Union General Assembly. (Published).
  • Odry J., Boucher M-A, Lachance-Cloutier S., Turcotte R., and St-Louis P-Y. (2022). Assimilation of multiple types of snow observations through a large scale spatialized particle filter. International Association for Hydrological Sciences Scientific Assembly. (Published).
  • Boucher M-A, Odry J., Fortin V., Lachance-Cloutier S. and Roussel D. (2022). Bayesian merging of large scale and local scale hydrological forecasts. European Geoscience Union General Assembly. (Published).
  • Fontaine N., Boucher M-A, Odry J., Lachance-Cloutier S., Fortin V., Anctil F., and Turcotte R. (2022). Combination of Global and Regional Hydrological Forecasts. International Association for Hydrological Sciences Scientific Assembly. (Published).
  • Redondo S., Boucher M-A, Lacey J., and Parent J. (2022). Quantifying the impact of bathymetry changes on flood events for the Trois-Lacs Basin. European Geoscience Union General Assembly. (Published).
  • Pouryousefi-Markhali S., Poulin A., and Boucher M-A. (2022). Regionalization of a Distributed Hydrology Model Using Random Forest. European Geoscience Union General Assembly. (Published).
  • Odry J., Boucher M-A., Lachance-Cloutier S., Turcotte R. and St-Louis P-Y. (2020). Mapping SWE in near real time across a large territory using a particle filter. General Assembly of the European Geoscience Union. (Published).
  • Odry J., Boucher M-A, Lachance-Cloutier S., Turcotte R. and Cantet P. (2019). Estimating snow water equivalent from snow depth and climate data using artificial neural network. General Assembly of the European Geoscience Union. (Published).
  • Boucher M-A, Quilty J. and Adamowski J. (2019). Hydrological data assimilation using machine learning. Satellite inspired hydrology in an uncertain future: a H SAF and HEPEX workshop. (Published).
  • Bazile R.*, Boucher M-A, Perreault L. and Leconte R. (2019). Potential Benefits of Seasonal Meteorological Forecasts for Spring Freshet Management - A Case Study on Lake Kénogami (Canada). Symposium of the International Association of Hydrological Sciences. (Published).
  • Akakpo K.*, Boucher M-A and Boucher V. (2018). Confidence in flood warning systems and the value of ensemble forecasts. 12th HEPEX workshop. (Published).
  • Boucher M-A, Cabral A., Malmir T.*, Simard V.* and de Oliveira Neto M.*. (2018). Designing large scale lysimeters to advance vertical water budget modeling in Nordic landfill sites. General Assembly of the American Geophysical Union. (Published).
  • Reig E.*, Boucher M-A and Tremblay E. (2018). Ensemble hydrological forecasts for real time management of the Shipshaw River. General Assembly of the American Geophysical Union. (Published).
  • Cantet P., Boucher M-A, Lachance-Cloutier S., Turcotte R. and Fortin V. (2018). Improving snow water equivalent estimates across time and space using a particle filter. General Assembly of the American Geophysical Union. (Published).
  • Bazile R.*, Boucher M-A, Perreault L. and Leconte R. (2018). Improving the predictability of streamflow for hydropower production in Canada using S2S ensemble meteorological forecasts. International Conference on Subseasonal to Decadal Prediction. (Published).
  • Alvarado-Montero A.*, Boucher M-A, Schwanenberg D., Quilty J.* and Adamowski J. (2018). Inter-comparison experiment of data assimilation by neural networks and variational state estimation for different hydrological model structures. 12th HEPEX workshop. (Published).
  • Matte S.*, Boucher M-A, Boucher V. and Fortier-Filion T-C. (2017). Economic assessment of flood forecasts for a risk-averse decision-maker. Annual General Assembly of the European Geosciences Union. (Published).
  • Schwanenberg D., Alvarado Montero R.*, Weerts A., Boucher M.-A. and Reggiani P. (2017). HEPEX Data Assimilation Inter-comparison Experiment. Annual General Assembly of the European Geosciences Union. (Published).
  • Boucher M-A, Quilty J.* and Adamowski J. (2017). Hydrological data assimilation using Extreme Learning Machines. Annual General Assembly of the European Geosciences Union. (Published).
  • Labrecque G.*, Boucher M-A and Chesnaux R. (2017). Modeling the behavior of an ungauged catchment using alternative datasets : a case study of the Caribou catchment in Canada. Annual General Assembly of the European Geosciences Union. (Published).
  • Bazile R.*, Boucher M.-A. Perreault L., Leconte R. and Guay C. (2017). Should we use seasonal meteorological ensemble forecasts for hydrological forecasting? A case study for nordic watersheds in Canada. Annual General Assembly of the European Geosciences Union. (Published).
  • Chimi-Chiadjeu O.*, Boucher M-A, St-Hilaire F. and Chebana F. (2016). A comparison of two approaches for state updating with the particle filter in a Nordic watershed. 11th HEPEX workshop. (Published).
  • Bajamgnigni Gbambie S.*, Poulin A. Boucher M.-A. and Arsenault R. (2016). Analyse des grilles de précipitation à haute résolution pour la modélisation hydrologique au Québec. 69th conference of the Canadian Water Resources Association. (Published).
  • Matte S.*, Boucher M-A, Boucher V. and Fortier-Filion T-C. (2016). Assessing the economic value of ensemble hydrological forecasts : the case of the Montmorency River. 11th HEPEX workshop. (Published).
  • Chimi-Chiadjeu O.*, Boucher M.-A., St-Hilaire F. and Chebana F. (2016). Data assimilation into a hydrological model: An algorithm based on a modified Auxiliary Particle Filter. 69th conference of the Canadian Water Resources Association. (Published).
  • Ouellet-Proulx S.*, St-Hilaire A., and Boucher M-A. (2016). Ensemble water temperature forecasting : accounting for uncertainty associated with meteorological inputs. 11th HEPEX workshop. (Published).
  • Chimi Chiadjeu O.*, Boucher M-A, St-Hilaire A. and Chebana F. (2016). Impact of the frequency of data assimilation on flow forecast using the modified Auxiliary Particle Filter (MASIR) into the CEQUEAU hydrological model. 7th conference of the International Commission on Statistical Hydrology (STAHY). (Published).
  • Schwanenberg D, Weerts A., Montero R.A.*, Boucher M-A, Krah P. and Helmke P. (2016). The HEPEX Data Assimilation Inter-comparison Experiment. Annual General Assembly of the American Geosciences Union. (Published).
  • Ouellet-Proulx S.*, Chimi Chiadjeu O.*, Boucher M.-A .and St-Hilaire A. (2016). Towards a better understanding of uncertainty sources in river temperature forecasting. Annual General Assembly of the American Geosciences Union. (Published).
  • Brochero D., Anctil F. and Boucher M-A. (2016). Towards the development of a multimodel hydrological ensemble prediction system for La Mojana, Colombia. Annual General Assembly of the American Geophysical Union. (Published).
  • Bazile R.*, Boucher M.-A. and Leconte R. (2016). Verification and comparison of seasonal meteorological ensemble forecasts for long-term hydropower plant management in Nordic watersheds. 11th HEPEX workshop. (Published).
  • St-Hilaire A., Boucher M.-A., Chebana F., Ouellet-Proulx S.*, Zhou Q.*, Larabi S.*, Dugdale S.* and Latraverse M. (2015). Breathing a new life to an older model : the CEQUEAU tool for flow and water temperature simulations and forecasting. 22nd Canadian Hydrotechnical Conference. (Published).
  • Anctil F., Thiboult A.* and Boucher M.-A. (2015). Examining the role played by meteorological ensemble forecasts, ensemble Kalman Filter streamflow assimilation, and multiple hydrological models within a prediction system accounting for three sources of uncertainty. Annual General Assembly of the American Geosciences Union. (Published).
  • Bajamgnigni Gbambies S.*, Poulin A., Boucher M.-A., and Arsenault R. (2015). Étude comparée des grilles de précipitations à hautes résolutions et leur utilisation pour la modélisation hydrologique au Québec. 2nd conference “La Recherche Hydrologique au Québec”. (Published).
  • Matte S.*, Boucher M.-A., Fortier-Filion T.-C. and Leclerc M. (2015). Évaluation de la performance des prévisions météorologiques d’ensemble dans un système opérationnel de prévision des crues pour la rivière Montmorency. 2nd conference “La Recherche Hydrologique au Québec”. (Published).
  • Brisson C.*, Boucher M.-A. and Latraverse M. (2014). Caractérisation de la portion réductible de l'incertitude en prévision des apports: application à la production hydroélectrique au Saguenay-Lac St-Jean. Annual General Assembly of the Canadian Water Resources Association. (Published).
  • Huet M.*, Chesnaux R. and Boucher M.-A. (2014). Comparaison de méthodes d’estimation de la recharge des acquifères – exemple de la région Charlevoix-Haute-Côte-Nord (CHCN). Congrès annuel de l’Association Canadienne Française pour l’Avancement de la Science. (Accepted).
  • Huet M.*, Chesnaux R. and Boucher M.-A. (2014). Comparing the results of different methods to assess the rechargeof aquifers : example of the Charlevoix - Haute-Côte-Nord region (Quebec, Canada). 41st IAH International Congress "Groundwater : Challenges and Strategies". (Published).
  • Boucher M.-A., Perreault L., Anctil F. and Favre A.-C. (2014). Comparison of post-processing methods for hydrological ensemble forecasts. Assemblée générale annuelle de l'Association Canadienne des Ressources Hydriques. (Accepted).
  • Zhou Q* and Boucher M.-A. (2014). Ensemble forecasts for the prediction of snowmelt of the Mistassibi watershed. Canadian Water Resources Association workshop on reservoir management. (Published).
  • Boucher M.-A., Bergeron Simard J.-D.* and Khamboonruang J.*. (2014). How not to ruin your whitewater kayaking season. 10th HEPEX workshop. (Published).
  • Boucher M.-A. (2014). Is it bias or not?. Annual General Assembly of the European Geosciences Union. (Published).
  • Arandia Martinez F.-T.*, Boucher M.-A. and Gaudet J. (2014). Multimodel hydrological ensemble forecasts for the Baskatong catchment in Canada using the TIGGE database. Annual General Assembly of the European Geosciences Union. (Published).
  • Arandia-Martinez F.-T.*, Boucher M.-A. and Gaudet J. (2014). Post-processing of multi-model hydrological forecasts for the Baskatong catchment. Canadian Water Resources Association workshop on reservoir management. (Published).
  • Brisson C.*, Boucher M.-A. and Latraverse M. (2014). Reduction of forecast uncertainty in the context of hydropower production: a case study for two catchments in Lac-St-Jean, Canada. Annual General Assembly of the European Geoscience Union. (Published).
  • Brisson C.*, Boucher M.-A. and Latraverse M. (2013). Paramétrisation d’un modèle hydrologique selon les saisons: étude de cas pour des bassins versants québécois. Workshop "La recherche hydrologique au Québec RHQ2013". (Published).
  • Boucher M.-A. (2013). Prévoir l’incertitude: la prévision hydrologique probabiliste. Annual Congress of Quebec's Mathematical Association. (Published).
  • Maier P.*, Tilmant A., Boucher M.-A. and Anctil F. (2012). Real time reservoir operation based on a combination of multiple sources of long-term and short-term optimization and hydrological ensemble forecasts. Annual General Assembly of the American Geophysical Union. (Published).
  • Boucher, M.-A., Tilmant, A., Côté, P. et Delorme, L. (2011). Prévisions hydrologiques d’ensemble et aide à la décision – Défis en modélisation. ». Atelier France-Québec sur les prévisions hydrologiques d’ensemble. (Published).
  • Boucher, M.-A. Perreault, L. et Anctil, F. (2010). A comparative study of post-processing methods for streamflow ensemble forecasts. Rencontre annuelle de l’Union Géophysique Canadienne. (Published).
  • Boucher, M.-A., Tremblay, D., Perreault, L. et Anctil, F. (2010). Operational value of ensemble streamflow forecasts for hydropower production : A Canadian case study. Assemblée générale de l’European Geosciences Union. (Published).
  • Boucher, M.-A., Perreault, L., Tremblay, D., Gaudet, J., Minville, M. et Anctil, F. (2009). Evaluation of an operationnal streamflow forecasting system driven by ensemble precipitation forecast : a case study for the Gatineau watershed. Assemblée générale de l’European Geosciences Union. (Published).
  • Boucher, M.-A., Delorme, L., Perreault, L., Tremblay, D., Tapsoba, D., Minville, M. et Anctil, F. (2009). Optimisation de la production hydroélectrique au moyen de prévisions hydrologiques d’ensemble : Cas de la rivière Gatineau. Assemblée générale de l’Association Canadienne des Ressources Hydriques. (Published).

Autres contributions

Cours enseignés

  • Hydrologie Appliquée. GCI420. (2020-01-06).
  • Calcul différentiel et intégral. GCI135. (2018-01-01).
  • Mécanique des fluides. GBA400. (2017-05-30).
  • Dynamique du Globe. 6SCT835. (2013-09-02 à 2016-12-31).
  • Sujets spéciaux en hydrologie. 6MDI868. (2013-05-06 à 2014-08-31).
  • Hydraulique Appliquée. (2012-09-03 à 2013-12-31).
  • Mécanique des fluides. 6GMC415. (2011-01-03 à 2016-04-30).
  • Hydrologie. 6GCI107. (2010-08-30 à 2016-12-31).
  • Hydrologie. (2009-08-31 à 2009-12-25).
  • Eaux-vives. (2006-08-28 à 2006-12-29).

Gestion d'évènements

  • Co-Covener. (2023) Session "Water cycle" of the World Climate Research Program Open Science Conference (23-27 Oct. Rwanda). (Conference).
  • Member of the organising committee. (2023) HEPEX Workshop 2023. (Conference).
  • Co-Covener. (2022) XIth Scientific Assembly of the International Association of Hydrological Sciences (IAHS 2022). (Conference).
  • Convener. (2019) International Association for Hydrological Sciences Symposium. (Conference).
  • Member of organizing committee. (2019) "La Recherche Hydrologique au Québec". (Conference).
  • Co-convener. (2018) session at the General Assembly of the American Geophysical Union: "H005 Advances in Ensemble Flood Forecasting, Flood Estimation, and Risk Analysis". (Conference).
  • Co-convener. (2018) European Geoscience Union, session "Predictive uncertainty estimation and data assimilation for hydrological forecasting and decision making". (Conference).
  • Member of the organizing committee. (2016) 69th General Assembly of the Canadian Water Resources Association. (Conference).
  • Member of the organizing committee. (2016) HEPEX 2016 (Quebec City). (Conference).
  • President of the scientific committee. (2016) 69th General Assembly of the Canadian Water Resources Association. (Conference).
  • Member of the organizing committee. (2015) World Water Day activities at UQAC (2015). (Workshop).
  • Member of the organizing committee. (2013) World Water Day activities at UQAC (2013). (Workshop).
  • Member of the organizing committee. (2012) World Water Day Activities at UQAC (2012). (Workshop).

Activités de collaboration internationale

  • GBON expansion Task team member. Switzerland. GBON expansion Task Team on EarthHydroNet. The mission of this task team is to provide recommandation for measurement networks of the earth system, including hydrology.
  • Committee member. Switzerland. Standing Committee on Hydrological Services, World Meteorological Organisation.
  • Committee member. South Africa, Republic of. Evaluation panel of the African Risk Capacity.
  • Committee member. Canada. Standing Committee on Hydrological Services, World Meteorological Organisation.
  • Co-chair. Canada. The Hydrological Ensemble Prediction Experiment (HEPEX).

Présentations

  • (2022). Hydrological data assimilation using neural networks. Short-course on Data Assimilation (online). Brazil
  • (2021). The challenges of assimilating snow data in hydrological models using machine learning techniques. Google Flood Forecasting Workshop. Online, Israel
  • (2020). L'utilisation d'ensembles de réseaux de neurones pour l'assimilation de données en hydrologie. CentrEAU Hebd'eau. Online, Canada
  • Boucher M-A. (2019). Data assimilation and post-processing for large-scale Nordic hydrology. ECMWF Seminars. Reading, United Kingdom
  • Boucher M-A. (2019). Data assimilation in operational streamflow forecasting. CUASHI Short-course : the science and practice of operational ensemble hydrological prediction. Boulder, United States of America
  • Boucher M-A. (2019). Data assimilation overview. CUASHI Short-course : the science and practice of operational ensemble hydrological prediction. Boulder, United States of America
  • Boucher M-A, Séguin S. (2019). Short-course on ensemble streamflow forecasting and reservoir optimization. Symposium of the International Association of Hydrological Sciences (IAHS). Montreal, Canada
  • Woods A., Wells,E., Boucher M-A. (2019). Uses of ensemble prediction to support risk-based decision-making. CUASHI Short-course : the science and practice of operational ensemble hydrological prediction. Boulder, United States of America
  • Boucher M-A, Alvarado-Montero R. (2018). The HEPEX data assimilation inter-comparison testbed. Deltares Lunch lectures. Delft, Netherlands
  • Boucher M-A, Verkade J. (2017). Short-course on real-time hydrological forecasting. General Assembly of the European Geosciences Union. Vienna, Austria
  • (2015). Multi-model hydrological forecasts for hydropower production. TU Delft Symposium on Scientific Forecasting and Uncertainty. Delft, Netherlands