Simon Lachance‐Cloutier
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View article: Neighborhood‐Based Verification of Precipitation Forecasts at the Local Scale: An Application Over Southern Quebec
Neighborhood‐Based Verification of Precipitation Forecasts at the Local Scale: An Application Over Southern Quebec Open
The emergence of high‐resolution numerical weather prediction (NWP) systems over recent decades has brought new verification challenges, namely accounting for the “double penalty” effect. While spatial verification methods have been develo…
View article: Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis
Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis Open
An increasing number of studies have shown the prowess of long short-term memory (LSTM) networks for hydrological modelling and forecasting. One drawback of these methods is the requirement for large amounts of training data to properly re…
View article: Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis
Exploring the ability of LSTM-based hydrological models to simulate streamflow time series for flood frequency analysis Open
An increasing number of studies have shown the prowess of Long Short-Term Memory (LSTM) networks for hydrological modelling and forecasting. One commonly cited drawback of these methods, however, is the requirement for large amounts of tra…
View article: Improved historical reconstruction of daily flows and annual maxima in gauged and ungauged basins
Improved historical reconstruction of daily flows and annual maxima in gauged and ungauged basins Open
This study presents a method to improve the reconstruction of historical flows on gauged and ungauged basins.
\nTo do so, a multi-model weighted averaging of hydrological model simulations for a large spatial domain in the
\nprovince of Qu…
View article: Combination of Global and Regional Hydrological Forecasts
Combination of Global and Regional Hydrological Forecasts Open
<p>In recent years, the number of large-scale hydrological forecasting systems has been steadily growing. This may lead to regions having numerous models spatially overlapping each other. Some of these regions have what we will refer…
View article: Assimilation of multiple types of snow observations through a large scale spatialized particle filter
Assimilation of multiple types of snow observations through a large scale spatialized particle filter Open
<p>Particle filtering is interesting for snow data assimilation because of its minimal assumptions. However, implementing a particle filter over a large spatial domain is challenging for many reasons. For instance, the number of requ…
View article: Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles
Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles Open
Data assimilation is an essential component of any hydrological forecasting system. Its purpose is to incorporate some observations from the field when they become available in order to correct the state variables of the model prior to the…
View article: Bayesian merging of large scale and local scale hydrological forecasts
Bayesian merging of large scale and local scale hydrological forecasts Open
<p>Global or large-scale hydrological forecasting systems covering entire countries, continents and even the entire planet are growing in popularity. As more large-scale hydrological forecasting systems emerge, it is likely that they…
View article: Comment on tc-2021-322
Comment on tc-2021-322 Open
Abstract. Data assimilation is an essential component of any hydrological forecasting system. Its purpose is to incorporate some observations from the field when they become available in order to correct the state variables of the model pr…
View article: Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles
Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles Open
The use of particle filters for data assimilation is increasingly popular because of its minimal assumptions. Nevertheless, implementing a particle filter over domains of large spatial dimensions remains challenging, as the number of requi…
View article: Will Evolving Climate Conditions Increase the Risk of Floods of the Large U.S.‐Canada Transboundary Richelieu River Basin?
Will Evolving Climate Conditions Increase the Risk of Floods of the Large U.S.‐Canada Transboundary Richelieu River Basin? Open
In spring 2011, an unprecedented flood hit the complex eastern United States (U.S.)–Canada transboundary Lake Champlain–Richelieu River (LCRR) Basin, destructing properties and inducing negative impacts on agriculture and fish habitats. Th…
View article: Application of a High‐Resolution Distributed Hydrological Model on a U.S.‐Canada Transboundary Basin: Simulation of the Multiyear Mean AnnualHydrograph and 2011 Flood of theRichelieu River Basin
Application of a High‐Resolution Distributed Hydrological Model on a U.S.‐Canada Transboundary Basin: Simulation of the Multiyear Mean AnnualHydrograph and 2011 Flood of theRichelieu River Basin Open
During spring 2011, an extreme flood occurred along the Richelieu River located in southern Quebec, Canada. The Richelieu River is the last section of the complex Richelieu basin, which is composed of the large Lake Champlain located in a …