Philippe Cantet

Philippe Cantet
Hydris Hydrology

PhD

About

21
Publications
3,489
Reads
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223
Citations
Citations since 2017
4 Research Items
161 Citations
20172018201920202021202220230102030
20172018201920202021202220230102030
20172018201920202021202220230102030
20172018201920202021202220230102030
Introduction
My current position consists on providing expertise on hydro-meteorological applications. Currently, my research mainly focus on a stochastic space-time model to simulate rainfall fields across France (splitted in several domains). The aim of this project is to couple the rainfall generator with a distributed rainfall-runoff model to estimate extreme flood quantiles. I also develop ''Shiny'' applications with R (user interface with interactive graphs/maps/data processing)
Additional affiliations
October 2019 - present
Meteo France
Position
  • Engineer
Description
  • PROBAAG project. Ensemble precipitation forecasting in Martinique. Calibration and validation.
October 2018 - June 2019
Meteo France
Position
  • Engineer
Description
  • C3AF project, using ARPEGE Climat projections in the West Indies (rainfall, temperature and hurricanes)
June 2017 - June 2018
Université de Sherbrooke
Position
  • Research Assistant
Description
  • Using a particle filter to estimate the spatial distribution of the snowpack water equivalent

Publications

Publications (21)
Article
Snow water equivalent (SWE) is among the most important variables in the hydrological modelling of high latitude and mountainous areas. While manual snow surveys can directly provide SWE measurements, they are time consuming and costly, especially compared to automated snow depth measurements. Moreover, SWE is strongly correlated to snow depth. For...
Article
Full-text available
The latest version of the atmospheric general circulation model ARPEGE‐Climat was used to perform 5‐member ensemble simulations for both present and RCP8.5 scenario climates (mid‐twenty first century). The rotated/stretched configuration enables a local horizontal resolution of less than 15km over the tropical North Atlantic basin. Moreover, a trac...
Article
Full-text available
A snow model forced by temperature and precipitation is used to simulate the spatial distribution of snow water equivalent (SWE) over a 600,000 km2 portion of the province of Quebec, Canada. We propose to improve model simulations by assimilating SWE data from sporadic manual snow surveys with a particle filter. A temporally and spatially correlate...
Article
Full-text available
Flood frequency analyses (FFAs) are needed for flood risk management. Many methods exist ranging from classical purely statistical approaches to more complex approaches based on process simulation. The results of these methods are associated with uncertainties that are sometimes difficult to estimate due to the complexity of the approaches or the n...
Article
Full-text available
SHYREG method is a regionalized method for rainfall and flood frequency analysis (FFA). It is based on processes simulation. It couples an hourly rainfall generator with a rainfall-runoff model, simplified enough to be regionalized. The method has been calibrated using all hydro meteorological data available at the national level. In France, that r...
Article
Full-text available
This study focuses on the spatial distribution of mean annual and monthly precipitation in a small island (1128 km2) named Martinique, located in the Lesser Antilles. Only 35 meteorological stations are available on the territory, which has a complex topography. With a digital elevation model (DEM), 17 covariates that are likely to explain precipit...
Article
Full-text available
High-resolution climate change simulations over the Lesser Antilles are performed using the ALADIN-Climate regional climate model nested within the global model ARPEGE (Météo-France). Three sets of simulations are conducted at 10 km grid spacing for reference (1971–2000) and future climate (2071–2100) under two CMIP5 scenarios (RCP4.5 and RCP8.5)....
Technical Report
Full-text available
The hourly rainfall stochastic model SHYPRE is based on the simulation of descrip-tive variables. It generates long series of hourly rainfall and enables an at-site empirical estimation of distribution quantiles over France. The present study focuses on its ability to reproduce extreme rainfall occurred in the sultanate of Oman where the climate is...
Article
Full-text available
The hourly rainfall stochastic model SHYPRE is based on the simulation of descriptive variables. It generates long series of hourly rainfall and enables an at-site empirical estimation of distribution quantiles over France. The present study focuses on the improvement of the rainfall generator by modelling storm characteristics dependence by the co...
Article
Full-text available
Extreme events are rarely observed, so their analysis is generally based on observations of more frequent values. The relevance of the flood frequency analysis (FFA) method depends on its capability to estimate the frequency of extreme values with reasonable accuracy using extrapolation. An FFA method based on stochastic simulation of flood event i...
Conference Paper
Full-text available
The great interest in climate change during the past 20 years has led to a quasi unanimous conclusion for scientists: the Earth’s climate is changing (IPCC 2013). It is important to know if this global change could lead to an increase in extreme events in order to prevent hydrological risks. In this work, the analysis of the climate change impact o...
Article
Full-text available
La méthode SHYREG1 est une méthode de prédétermination de l’aléa hydrométéorologique extrême, basée sur la simulation des processus. Elle met en oeuvre un générateur stochastique de pluies horaires couplé à une modélisation hydrologique suffisamment simplifiée pour être régionalisée. La méthode a été calée sur l’ensemble des données hydrométéorolog...
Article
We compare three approaches to estimate the distribution of extreme rainfall at ungauged sites. Two approaches rely on the univariate generalized extreme value distribution (GEV). SIGEV interpolates linearly the GEV parameters estimated locally. RFA is a regional method which builds circular homogeneous neighborhood around each site in order to inc...
Article
Full-text available
Since the last decade, copulas have become more and more widespread in the construction of hydrological models. Unlike the multivariate statistics which are traditionally used, this tool enables scientists to model different dependence structures without drawbacks. The authors propose to apply copulas to improve the performance of an existing model...
Conference Paper
Full-text available
La connaissance de la pluie à pas de temps fins est primordiale dans la prédétermination des crues, en particulier dans les zones montagneuses. Le manque d’observation et la fiabilité de celle-ci rendent difficiles une cartographie de l’aléa pluvial dans ces régions. Dans ce but, nous proposons une méthode originale qui consiste à reproduire les pl...
Article
Full-text available
An original approach is proposed to estimate the impacts of climate change on extreme events using an hourly rainfall stochastic generator. The considered generator relies on three parameters. These parameters are estimated by average, not by extreme, values of daily climatic characteristics. Since climate changes should result in parameters instab...
Poster
Full-text available
Flash flood forecasting at ungauged sites is one of the most difficult tasks in operational hydrology. The post-event analysis of catastrophic events offers the possibility to really appreciate the usefulness of warnings emitted during the crisis. This poster presents results obtained by the operational AIGA warning method during the dramatic 15th...
Thesis
Full-text available
Des récentes études ont montré la difficulté de détecter des tendances des phénomènes extrêmes de précipitation. C'est pourquoi, dans cette thèse, nous proposons une étude originale de l'impact du changement climatique sur les pluies extrêmes par l'utilisation d'un générateur stochastique de pluies horaires. La détection de l'évolution climatique e...
Article
The great interest on climate change during these last years has led to a quasi unanimous conclusion for scientists: the Earth climate changes. An increase of precipitation in the middle and high latitude area of north hemisphere was detected. In order to prevent hydrological risks, it's interesting to know if these global changes lead to an increa...
Article
Full-text available
International audience Markov chain Monte Carlo (MCMC) methods together with hidden Markov models are extensively used in the Bayesian inference for many scientific fields like environment and ecology. Through simulated examples we show that the speed of convergence of these methods can be very low. In order to improve the convergence properties, w...

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Projects

Projects (2)
Project
Project
The current SHYREG base provides rainfall quantiles in the whole french territory (at a 1km² resolution) according to parameters which have been mapped in 2005. The aim of my current project is to update this base in including the latest extreme rainy events and in using the mapping method developed in my recent works (see Cantet, 2015).