François Bourgin
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View article: Multi-site learning for hydrological uncertainty prediction: the case of quantile random forests
Multi-site learning for hydrological uncertainty prediction: the case of quantile random forests Open
To improve hydrological uncertainty estimation, recent studies have explored machine learning (ML)-based post-processing approaches that enable both enhanced predictive performance and hydrologically informed probabilistic streamflow predi…
View article: Lead-time-dependent calibration of a flood forecasting model
Lead-time-dependent calibration of a flood forecasting model Open
View article: Evaluation des processus de fonte et d’accumulation du manteau neigeux lors de la spatialisation du module neige CemaNeige
Evaluation des processus de fonte et d’accumulation du manteau neigeux lors de la spatialisation du module neige CemaNeige Open
View article: Benefits of upstream data for downstream streamflow forecasting: data assimilation in a semi-distributed flood forecasting model
Benefits of upstream data for downstream streamflow forecasting: data assimilation in a semi-distributed flood forecasting model Open
An hourly hydrological forecasting model (GRP), used for flood forecasting in France, has been enhanced by developing a semi-distributed version (GRPS). This new model addresses some limitations of the original lumped approach by integrati…
View article: EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions
EvalHyd v0.1.2: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions Open
The evaluation of streamflow predictions forms an essential part of most hydrological modelling studies published in the literature. The evaluation process typically involves the computation of some evaluation metrics, but it can also invo…
View article: Improving the structure of a hydrological model to forecast catchment response to intense rainfall
Improving the structure of a hydrological model to forecast catchment response to intense rainfall Open
International audience
View article: Towards a better understanding of the hybrid modelling methodology for streamflow prediction
Towards a better understanding of the hybrid modelling methodology for streamflow prediction Open
The use of machine learning (ML) methods in rainfall-runoff modelling has apparently led to better prediction, but there are some concerns about the interpretability of these models. The emergence of hybrid modelling, which couples the dat…
View article: Retour sur vingt ans de recherches partenariales DGPR-INRAE sur la prévision des crues et des inondations. Avancées, valorisation et perspectives
Retour sur vingt ans de recherches partenariales DGPR-INRAE sur la prévision des crues et des inondations. Avancées, valorisation et perspectives Open
International audience
View article: GRP et OTAMIN : deux outils pour la prévision de crue opérationnelle et la quantification des incertitudes associées
GRP et OTAMIN : deux outils pour la prévision de crue opérationnelle et la quantification des incertitudes associées Open
International audience
View article: Spatialisation d’un module neige dans un contexte de modélisation hydrologique semi-distribuée
Spatialisation d’un module neige dans un contexte de modélisation hydrologique semi-distribuée Open
View article: Analyse des crues de juillet 2021
Analyse des crues de juillet 2021 Open
In July, unseasonable flooding occurred in north-eastern France. The exceptional nature of these floods made it more difficult to understand how they unfolded, and led to changes in the height-discharge relationships at hydrometric station…
View article: evalhyd v0.1.1: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions
evalhyd v0.1.1: a polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions Open
The evaluation of streamflow predictions forms an essential part of most hydrological modelling studies published in the literature. The evaluation process typically involves the computation of some evaluation metrics, but it can also invo…
View article: La plateforme de prévision des étiages PREMHYCE
La plateforme de prévision des étiages PREMHYCE Open
International audience
View article: L’outil d’analyse des performances evalhyd
L’outil d’analyse des performances evalhyd Open
International audience
View article: Chaine intégrée pour la prévision hydrométéorologique des étiages et des sécheresses (CIPRHES) en France
Chaine intégrée pour la prévision hydrométéorologique des étiages et des sécheresses (CIPRHES) en France Open
National audience
View article: Sécheresse 2022 : caractérisation hydrologique des étiages
Sécheresse 2022 : caractérisation hydrologique des étiages Open
National audience
View article: A polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions
A polyglot tool for the evaluation of deterministic and probabilistic streamflow predictions Open
Whether they refer to it as validation, verification, or evaluation, hydrological practitioners regularly need to compute performance metrics to measure the differences between observed and simulated/predicted streamflow time series. While…
View article: How do machine learning models deal with inter-catchment groundwater flows?
How do machine learning models deal with inter-catchment groundwater flows? Open
Machine learning models have recently gained popularity in hydrological modelling at the catchment scale, fuelled by the increasing availability of large-sample data sets and the increasing accessibility of deep learning framewor…
View article: Estimating the parameters of a flood forecasting model: with or without updating procedures?
Estimating the parameters of a flood forecasting model: with or without updating procedures? Open
When they are used for operational forecasting, hydrological models are almost always combined with some kind of updating procedures. Then a question arises: should the model parameters be calibrated with or without the updating procedures…
View article: PREMHYCE, une plateforme nationale pour la prévision des étiages
PREMHYCE, une plateforme nationale pour la prévision des étiages Open
De nombreuses activités humaines peuvent être fortement impactées par les pénuries d'eau (production d’eau potable, irrigation, production électrique, navigation fluviale, loisirs, etc.). Il est donc nécessaire d'anticiper les périodes d'é…
View article: Méthodes et outils pour la prévision opérationnelle des crues et des inondations: De la connaissance des débits à la prévision et l’avertissement aux risques
Méthodes et outils pour la prévision opérationnelle des crues et des inondations: De la connaissance des débits à la prévision et l’avertissement aux risques Open
National audience
View article: PREMHYCE, une plateforme opérationnelle de prévision des étiages à l’échelle nationale: Anticipation des sécheresses et des étiages, des enjeux croissants
PREMHYCE, une plateforme opérationnelle de prévision des étiages à l’échelle nationale: Anticipation des sécheresses et des étiages, des enjeux croissants Open
National audience
View article: Seamless meteorological forecast production and evaluation towards hydrological decision-making in France : CIPRHES projet
Seamless meteorological forecast production and evaluation towards hydrological decision-making in France : CIPRHES projet Open
<p>Hydrological drought conditions have negative implications for environmental and socio-economic activities in France. Operational drought forecasts with adequate timing and quality can guide decision-makers to prepare and make inf…
View article: Seeking best streamflow assimilation scheme in a semi-distributed hydrological model for flood forecasting
Seeking best streamflow assimilation scheme in a semi-distributed hydrological model for flood forecasting Open
<p>Semi-distributed hydrological models have the potential to improve the efficiency of flood forecasting chains. Such models take into account the spatial distribution of both meteorological forcings and soil moisture states to pred…
View article: Integrated chain for the hydrometeorological forecasting of low flows and droughts in France. The CIPRHES project
Integrated chain for the hydrometeorological forecasting of low flows and droughts in France. The CIPRHES project Open
<p>There has been a growing interest in extending forecast lead times to facilitate water resources planning and management during droughts and low-flow events. This can be partly achieved by improving integrated hydrometeorological …
View article: Using the information on rainfall intensities to represent the variability in time of dominant processes in a hydrological model&#160;
Using the information on rainfall intensities to represent the variability in time of dominant processes in a hydrological model  Open
<p>High-intensity precipitation events activate heterogeneous catchment processes and trigger flood events for which hydrological models are known to have limited predictive efficiency. The goal of this study is to find a way to info…
View article: Low-flow forecasting in France using the PREMHYCE operational platform:&#160;recent advances and perspectives
Low-flow forecasting in France using the PREMHYCE operational platform: recent advances and perspectives Open
<p>In many countries, rivers are the primary supply of water. A number of uses are concerned (drinking water, irrigation, hydropower…) and can be strongly affected by water shortages. Therefore, there is a need of early ant…
View article: Catchment response to intense rainfall: Evaluating modelling hypotheses
Catchment response to intense rainfall: Evaluating modelling hypotheses Open
Floods resulting from high‐intensity rainfall events are known to be difficult to simulate. The catchment response to such events is very heterogeneous due to complex combinations of hydrological processes at fine temporal and spatial scal…
View article: Tempête Alex du 2 octobre 2020 dans les Alpes-Maritimes : une contribution de la communauté scientifique à l’estimation des débits de pointe des crues
Tempête Alex du 2 octobre 2020 dans les Alpes-Maritimes : une contribution de la communauté scientifique à l’estimation des débits de pointe des crues Open
La tempête Alex, qui a touché le 2 octobre 2020 les vallées de la Roya, la Tinée, et la Vésubie dans les Alpes-Maritimes, constitue un événement de référence qu’il est important de documenter au mieux pour en conserver la mémoire et permet…
View article: Low-flow forecasting in France using the PREMHYCE operational platform: recent advances and perspectives
Low-flow forecasting in France using the PREMHYCE operational platform: recent advances and perspectives Open
International audience