Know more

Our use of cookies

Cookies are a set of data stored on a user’s device when the user browses a web site. The data is in a file containing an ID number, the name of the server which deposited it and, in some cases, an expiry date. We use cookies to record information about your visit, language of preference, and other parameters on the site in order to optimise your next visit and make the site even more useful to you.

To improve your experience, we use cookies to store certain browsing information and provide secure navigation, and to collect statistics with a view to improve the site’s features. For a complete list of the cookies we use, download “Ghostery”, a free plug-in for browsers which can detect, and, in some cases, block cookies.

Ghostery is available here for free: https://www.ghostery.com/fr/products/

You can also visit the CNIL web site for instructions on how to configure your browser to manage cookie storage on your device.

In the case of third-party advertising cookies, you can also visit the following site: http://www.youronlinechoices.com/fr/controler-ses-cookies/, offered by digital advertising professionals within the European Digital Advertising Alliance (EDAA). From the site, you can deny or accept the cookies used by advertising professionals who are members.

It is also possible to block certain third-party cookies directly via publishers:

Cookie type

Means of blocking

Analytical and performance cookies

Realytics
Google Analytics
Spoteffects
Optimizely

Targeted advertising cookies

DoubleClick
Mediarithmics

The following types of cookies may be used on our websites:

Mandatory cookies

Functional cookies

Social media and advertising cookies

These cookies are needed to ensure the proper functioning of the site and cannot be disabled. They help ensure a secure connection and the basic availability of our website.

These cookies allow us to analyse site use in order to measure and optimise performance. They allow us to store your sign-in information and display the different components of our website in a more coherent way.

These cookies are used by advertising agencies such as Google and by social media sites such as LinkedIn and Facebook. Among other things, they allow pages to be shared on social media, the posting of comments, and the publication (on our site or elsewhere) of ads that reflect your centres of interest.

Our EZPublish content management system (CMS) uses CAS and PHP session cookies and the New Relic cookie for monitoring purposes (IP, response times).

These cookies are deleted at the end of the browsing session (when you log off or close your browser window)

Our EZPublish content management system (CMS) uses the XiTi cookie to measure traffic. Our service provider is AT Internet. This company stores data (IPs, date and time of access, length of the visit and pages viewed) for six months.

Our EZPublish content management system (CMS) does not use this type of cookie.

For more information about the cookies we use, contact INRA’s Data Protection Officer by email at cil-dpo@inra.fr or by post at:

INRA
24, chemin de Borde Rouge –Auzeville – CS52627
31326 Castanet Tolosan CEDEX - France

Dernière mise à jour : Mai 2018

Menu Logo Principal

Home page

Benjamin Renard

Chargé de recherche en Hydrologie Statistique

Renard

Domaine de compétence

Hydrologie & Sciences Environnementales

Quantification des incertitudes

Modélisation hydrologique conceptuelle

Impact de la variabilité climatique sur les régimes hydrologiques

Crues et étiages

Analyse fréquentielle aux échelles locale et régionale

Statistiques

Analyse Bayesienne

Modélisation hiérarchique

Méthodes MCMC

Théorie des valeurs extremes

Dépendances dans un cadre non-Gaussien

Diplomes

2006 :  Doctorat en Hydrologie. Institut National Polytechnique de Grenoble, France.

Expérience Professionelle

depuis septembre 2008

Chargé de recherche en Hydrologie, Cemagref, Lyon, France

fevrier 2007 - septembre 2008

Chercheur associé, The University of Newcastle, Australie

octobre - décembre 2006

Chercheur associé, Université Montpellier II, France

octobre 2003 - octobre 2006

Doctorant, Cemagref, Lyon, France

avril 2001 - aout 2002

Assistant de recherche (Volontariat à l'aide technique, service national),  Institut National de la Recherche Agronomique (INRA), Guadeloupe, France

avril - septembre 2000

Stagiaire, INRA Guadeloupe, France

Prix

Prix Henri Milon 2007 (Société Hydrotechnique de France)

Prix de vulgarisation scientifique 2008 (Institut pour la maitrise des risques)

Publications

Valeurs extremes et analyse fréquentielle

Renard, B., K. Kochanek, M. Lang, F. Garavaglia, E. Paquet, L. Neppel, K. Najib, J. Carreau, P. Arnaud, Y. Aubert, F. Borchi, J. M. Soubeyroux, S. Jourdain, J. M. Veysseire, E. Sauquet, T. Cipriani, and A. Auffray - 2013. Data-based comparison of frequency analysis methods: A general framework, Water Resources Research, vol. 49.

Renard, B., X. Sun, and M. Lang - 2013. Bayesian methods for non-stationary extreme value analysis, in: Hydrologic Extremes in a Changing Climate - Detection, Analysis & Uncertainty, edited by S. Sorooshian, D. Easterling, A. AghaKouchak, S. Schubert and K. Hsu.

[http://cemadoc.irstea.fr/cemoa/PUB00034874]

Garavaglia, F., M. Lang, E. Paquet, J. Gailhard, R. Garcon, and B. Renard - 2011. Reliability and robustness of a rainfall compound distribution model based on weather pattern sub-sampling, Hydrology and Earth System Sciences., vol. 15, n° 2, 519-532.

[http://cemadoc.irstea.fr/cemoa/PUB00031122]

Neppel, L., B. Renard, M. Lang, P. A. Ayral, D. Coeur, E. Gaume, N. Jacob, O. Payrastre, K. Pobanz and F. Vinet - 2010. Flood frequency analysis using historical data: accounting for random and systematic errors. Hydrological sciences Journal, vol. 55, n° 2

Lang, M., K. Pobanz, B. Renard, E. Renouf and E. Sauquet - 2010. Extrapolation of rating curves by hydraulic modelling and its relative impact on flood frequency analysis with historical data. Hydrological sciences Journal. vol 55, n° 6.

Renard, B., Lang, M. - 2007. Use of a Gaussian copula for multivariate extreme value analysis: some case studies in hydrology. Advances in Water Resources, vol. 30, p. 897 - 912

[http://cemadoc.cemagref.fr/cemoa/PUB00021421]

Renard, B., Garreta, V., Lang, M. - 2006. An application of Bayesian analysis and Markov chain Monte Carlo methods to the estimation of a regional trend in annual maxima. Water resources research, vol. 42

[http://cemadoc.cemagref.fr/cemoa/PUB00020768]

Renard, B., Lang, M., Bois, P. - 2006. Statistical analysis of extreme events in a nonstationary context via a Bayesian framework. Case study with peak-over-threshold data. Stochastic environmental research and risk assessment, vol. 21, n° 2, p. 97 - 112

[http://cemadoc.cemagref.fr/cemoa/PUB00020631]

 

Incertitudes en modélisation hydrologique

Renard, B., D. Kavetski, E. Leblois, M. Thyer, G. Kuczera, and S. W. Franks - 2011. Towards a reliable decomposition of predictive uncertainty in hydrological modeling: Characterizing rainfall errors using conditional simulation, Water Resources Research, vol. 47.

[http://cemadoc.irstea.fr/cemoa/PUB00034875]

Kuczera, G., D. Kavetski, B. Renard and M. Thyer - 2010. A limited-memory acceleration strategy for MCMC sampling in hierarchical Bayesian calibration of hydrological models. Water Resources Research. vol. 46.

Kuczera, G., B. Renard, M. Thyer and D. Kavetski - 2010. There are no hydrological monsters, just models and observations with large uncertainties! Hydrological sciences Journal, vol. 55, n° 6.

Engeland, K., B. Renard, I. Steinsland and S. Kolberg - 2010. Evaluation of statistical models for forecast errors from the HBV model. Journal of Hydrology, vol. 384, p. 142 - 155

Renard, B., Kavetski, D., Thyer, M., Kuczera, G., Franks, S. - 2009. Understanding predictive uncertainty in hydrologic modeling: The challenge of identifying input and structural errors. Water Resources Research, vol. 46.

[http://cemadoc.cemagref.fr/cemoa/PUB00027528]

Thyer, M., Renard, B., Kavetski, D., Kuczera, G., Franks, S., Srikanthan, S. - 2009. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis. Water Resources Research, vol. 45
[http://cemadoc.cemagref.fr/cemoa/PUB00027526]

Renard, B., Kavetski, D., Kuczera, G. - 2009. Comment on "An integrated hydrologic Bayesian multimodel combination framework: Confronting input, parameter, and model structural uncertainty in hydrologic prediction. " by N. K. Ajami, Q. Y. Duan, and S. Sorooshian. Water Resources Research, vol. 45

[http://cemadoc.cemagref.fr/cemoa/PUB00026344]

 

Variabilité et changement climatique, détection de tendance

Giuntoli, I., B. Renard, J. P. Vidal, and A. Bard - 2013. Low flows in France and their relationship to large scale climate indices, Journal of Hydrology. In press

Bard, A., B. Renard, and M. Lang - 2012. Floods in the Alpine Areas of Europe, in: Changes in flood risk in Europe, edited by Z. W. Kundzewicz, IAHS Press.

Giuntoli, I., B. Renard, and M. Lang - 2012. Floods in France, in: Changes in flood risk in Europe, edited by Z. W. Kundzewicz, IAHS Press.

Renard, B., Lang, M., Bois, P., Dupeyrat, A., Mestre, O., Niel, H., Sauquet, E., Prudhomme, C., Parey, S., Paquet, E., Neppel, L., Gailhard, J. - 2008. Regional methods for trend detection: assessing field significance and regional consistency. Water Resources Research, vol. 44

[http://cemadoc.cemagref.fr/cemoa/PUB00024453]

 

Autres sujets

Thyer, M., M. Leonard, D. Kavetski, S. Need, and B. Renard - 2011. The open source RFortran library for accessing R from Fortran, with applications in environmental modelling, Environmental Modelling & Software, 26(2), 219-234

[Chek out RFortran website!] [http://cemadoc.irstea.fr/cemoa/PUB00029840]

Giacomini, A., O. Buzzi, B. Renard and G. P. Giani - 2009. Experimental studies on fragmentation of rock falls on impact with rock surfaces. International Journal of Rock Mechanics & Mining Sciences, vol. 46, p. 708 - 715

Sauvion, N., V. Mauriello, B. Renard and N. Boissot - 2005. Impact of Melon Accessions Resistant to Aphids on the Demographic Potential of Silverleaf Whitefly. Journal of Economic Entomology vol. 98, n° 2, p. 557 - 567 

 

Thèse

Renard, B. - 2006. Détection et prise en compte d'éventuels impacts du changement climatique sur les extrêmes hydrologiques en France. Thèse de doctorat, INP Grenoble. 361 p.

[http://cemadoc.cemagref.fr/cemoa/PUB00020416]

 

Publications en Français

Bard, A., B. Renard, and M. Lang - 2012. Tendances observées sur les régimes hydrologiques de l'arc Alpin, La houille blanche(1), 38-43.

Renard, B. - 2008. Détection et prise en compte d'éventuels impacts du changement climatique sur les extrêmes hydrologiques en France. La Houille Blanche, vol. 1, p. 109 - 117.

Gresillon, J.M., Sauquet, E., Renard, B., Lang, M., Leblois, E. - 2007. Changement climatique et événements extrêmes : crues, inondations, sécheresses. Que peut-on dire aujourd'hui ? . Revue française de géotechnique, vol. 120-121, p. 27 - 34

[http://cemadoc.cemagref.fr/cemoa/PUB00023981]

Lang, M., Renard, B. - 2007. Analyse régionale sur les extrêmes hydrométriques en France : détection de changements cohérents et recherche de causalité hydrologique. La houille blanche, vol. 6, p. 83 - 89

[http://cemadoc.cemagref.fr/cemoa/PUB00023232]

Renard, B., Lang, M., Bois, P., Dupeyrat, A., Mestre, O., Niel, H., Gailhard, J., Laurent, C., Neppel, L., Sauquet, E. - 2006. Evolution des extrêmes hydrométriques en France à partir de données observées. La houille blanche, vol. 6, p. 48 - 54
[http://cemadoc.cemagref.fr/cemoa/PUB00019269]

Sauquet, E., Bois, P., Renard, B. - 2006. Observations d'événements extrêmes historiques dans le monde, selon les climats et les réseaux de mesure. La houille blanche, vol. 5, p. 60 - 65

[http://cemadoc.cemagref.fr/cemoa/PUB00020377]

Galea, G., Vasquez Paulus, S., Renard, B., Breil, P. - 2005. L'impact des prélèvements d'eau pour l'irrigation sur les régimes hydrologiques des sous-bassins du Tescou et de la Séoune (bassin Adour-Garonne, France). Revue des sciences de l'eau, vol. 18, n° 3, p. 273 - 305

[http://cemadoc.cemagref.fr/cemoa/PUB00017922]