Faculty profile

Richard Arsenault

ResearcherDépartement de génie de la constructionÉcole de technologie supérieure

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a École de technologie supérieure directory, so their courses may be missing. Find their university profile.

Richard Arsenault

Researcher

Département de génie de la construction

Engineering

École de technologie supérieure

Montreal, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
2 publications in the last five years, latest in 2023.
Senior (last) author on 1 recent paper, a sign of leading a research group.
Principal investigator on 7 research grants (7 NSERC), most recently in 2024.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

Collaborators

Grants

Publications by year

Counts cover the publications linked to this profile. Citations and the h-index appear when the source records them.

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Signals and details

Research

Data assimilation Hydrological modelling deep learning hydrological forecasting long short-term memory ensemble forecasting hydropower reservoir inflow volumes

Latest papers

Hydrothermal impacts of water release on early life stages of white sturgeon in the Nechako river, B.C. Canada.
Journal of thermal biology · 2023
The sensitivity of simulated streamflow to individual hydrologic processes across North America.
Nature communications · 2022 · senior author
A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds.
Scientific data · 2020 · first author

All 3 publications

Latest funding

Open-Source Flood Risk Analysis Network for Canada (Open-FRANC)
NSERC · 2024 · Co-investigator
$1,525,000
Towards automating hydropower reservoir management: Exploring the potential of fully unified deep-learning approaches
NSERC · 2024 · Principal investigator
$50,000
Ecohydrology of a managed river system: Improved hydrological, thermal and fish habitat monitoring and modelling for informed management decisions
NSERC · 2023 · Co-investigator
$918,370

All 10 grants and awards

Open-Source Flood Risk Analysis Network for Canada (Open-FRANC)

Co-investigatorNSERC2024Alliance Grants

Principal investigators: Pietroniro, Alain A

Keywords: coastal modelling; floodplain mapping; geomatics; hydraulic modelling; hydrology modelling; informatics; knowledge mobilization; risk analysis

$1,525,000

Towards automating hydropower reservoir management: Exploring the potential of fully unified deep-learning approaches

Principal investigatorNSERC2024Discovery Grants Program - Individual

Principal investigators: Arsenault, Richard

Keywords: hydrological forecasting; deep learning; long short-term memory; hydropower reservoir management; reinforcement learning; numerical weather prediction; probabilistic forecasting; large-sample databases; forecast verification; prediction in ungauged basins

$50,000

Ecohydrology of a managed river system: Improved hydrological, thermal and fish habitat monitoring and modelling for informed management decisions

Co-investigatorNSERC2023Alliance Grants

Principal investigators: St-Hilaire, André A

Keywords: fish habitat; hydrology; modelling; river temperature; snowmelt; thermoregulation

$918,370

Improving hydrological ensemble inflow volume forecasts and their uncertainty representation using statistical postprocessing and deep learning methods

Principal investigatorNSERC2022Alliance Grants

Principal investigators: Arsenault, Richard RF

Keywords: data assimilation; deep learning; ensemble forecasting; hydrological forecasting; hydrological modelling; hydropower reservoir; inflow volumes; long short-term memory; statistical postprocessing; uncertainty

$252,500

Development of an improved hourly ensemble streamflow forecasting system for flood forecasting on small watersheds

Principal investigatorNSERC2020Alliance Grants

Principal investigators: Arsenault, Richard RF

$77,400

Development of a framework to quantify low-flow risks and uncertainty related to climate change in a Northern Quebec River for hydropower generation

Principal investigatorNSERC2019Engage Grants Program

Principal investigators: Arsenault, Richard

$25,000

Adaptation to minimize the joint impacts of climate change and the management of hydraulic infrastructures on fish and fish habitat

Co-investigatorNSERC2018Collaborative Research and Development Grants

Principal investigators: St-Hilaire, André

$516,000

Pushing back the boundaries to automating the operational hydrological forecasts used in hydropower reservoir management.

Principal investigatorNSERC2018Discovery Grants Program - Individual

Principal investigators: Arsenault, Richard

Keywords: Data assimilation; Ensemble streamflow forecasting; Forecast automation; Hydrological modelling; Hydropower; Multi-model forecasting; Uncertainty modelling; Water resources management

$156,000

Pushing back the boundaries to automating the operational hydrological forecasts used in hydropower reservoir management.

Principal investigatorNSERC2018Discovery Launch Supplement

Principal investigators: Arsenault, Richard

$12,500

Value chain optimization of hydroelectric power generation systems

Principal investigatorNSERC2017Collaborative Research and Development Grants

Principal investigators: Arsenault, Richard

$347,788

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Richard Arsenault

Research

Latest papers

Latest funding

Hydrothermal impacts of water release on early life stages of white sturgeon in the Nechako river, B.C. Canada.

The sensitivity of simulated streamflow to individual hydrologic processes across North America.

A comprehensive, multisource database for hydrometeorological modeling of 14,425 North American watersheds.

Open-Source Flood Risk Analysis Network for Canada (Open-FRANC)

Towards automating hydropower reservoir management: Exploring the potential of fully unified deep-learning approaches

Ecohydrology of a managed river system: Improved hydrological, thermal and fish habitat monitoring and modelling for informed management decisions

Improving hydrological ensemble inflow volume forecasts and their uncertainty representation using statistical postprocessing and deep learning methods

Development of an improved hourly ensemble streamflow forecasting system for flood forecasting on small watersheds

Development of a framework to quantify low-flow risks and uncertainty related to climate change in a Northern Quebec River for hydropower generation

Adaptation to minimize the joint impacts of climate change and the management of hydraulic infrastructures on fish and fish habitat

Pushing back the boundaries to automating the operational hydrological forecasts used in hydropower reservoir management.

Pushing back the boundaries to automating the operational hydrological forecasts used in hydropower reservoir management.

Value chain optimization of hydroelectric power generation systems

Frequent collaborators

Jean-Luc Martel

Annie Poulin