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S. Parey  - - - 
Top co-authors See all
F. J. Acero

9 shared publications

Departamento de Física; Universidad de Extremadura; Badajoz Spain

Anne Dutfoy

3 shared publications

EDF R&D Saclay Lab, Palaiseau, France

Benno Rothstein

3 shared publications

University of Applied Forest Sciences

C. Laurent

1 shared publications

14
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66
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Publication Record
Distribution of Articles published per year 
(2007 - 2018)
Total number of journals
published in
 
11
 
Publications See all
Article 0 Reads 0 Citations Future high-temperature extremes and stationarity S. Parey, T. T. H. Hoang, D. Dacunha-Castelle Published: 15 October 2018
Natural Hazards, doi: 10.1007/s11069-018-3499-1
DOI See at publisher website
Conference 8 Reads 0 Citations RETURN LEVEL ESTIMATION FOR EXTREME RAINFALL OVER THE IBERIAN PENINSULA: COMPARING METHODOLOGIES. Francisco Javier Acero, Sylvie Parey, José Agustín García, D... Published: 05 November 2017
First International Electronic Conference on the Hydrological Cycle, doi: 10.3390/chycle-2017-04837
DOI See at publisher website
Article 0 Reads 2 Citations Multivariate distribution correction of climate model outputs: A generalization of quantile mapping approaches Léonard Dekens, Sylvie Parey, Mathilde Grandjacques, Didier ... Published: 11 July 2017
Environmetrics, doi: 10.1002/env.2454
DOI See at publisher website
Article 2 Reads 4 Citations Changes in the distribution of cold waves in France in the middle and end of the 21st century with IPSL-CM5 and CNRM-CM5... S. Parey, T. T. H. Hoang Published: 23 October 2015
Climate Dynamics, doi: 10.1007/s00382-015-2877-6
DOI See at publisher website
Article 2 Reads 2 Citations Multivariate Extreme Value Theory - A Tutorial with Applications to Hydrology and Meteorology Anne Dutfoy, Sylvie Parey, Nicolas Roche Published: 02 January 2014
Dependence Modeling, doi: 10.2478/demo-2014-0003
DOI See at publisher website ABS Show/hide abstract
In this paper, we provide a tutorial on multivariate extreme value methods which allows to estimate the risk associated with rare events occurring jointly. We draw particular attention to issues related to extremal dependence and we insist on the asymptotic independence feature. We apply the multivariate extreme value theory on two data sets related to hydrology and meteorology: first, the joint flooding of two rivers, which puts at risk the facilities lying downstream the confluence; then the joint occurrence of high speed wind and low air temperatures, which might affect overhead lines.
Article 2 Reads 6 Citations The importance of mean and variance in predicting changes in temperature extremes Sylvie Parey, Thi Thu Huong Hoang, Didier Dacunha‐Castelle Published: 06 August 2013
Journal of Geophysical Research: Atmospheres, doi: 10.1002/jgrd.50629
DOI See at publisher website
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