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S. Parey  - - - 
Top co-authors See all
M. Saini

120 shared publications

Department of Zoology and Environmental Sciences, Punjabi University, Patiala, India, 147002

Manuel Barange

73 shared publications

Christophe Cassou

49 shared publications

CERFACS 42 avenue Coriolis, 31057 Toulouse Cedex 1

P. Naveau

43 shared publications

Laboratoire des Sciences du Climat et de l'Environnement; CE Saclay l'Orme des Merisiers; Gif-sur-Yvette; France

C. Vera

35 shared publications

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Publication Record
Distribution of Articles published per year 
(2006 - 2015)
Total number of journals
published in
 
17
 
Publications See all
Article 1 Read 3 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 1 Read 8 Citations Projected increase in diurnal and interdiurnal variations of European summer temperatures J. Cattiaux, H. Douville, R. Schoetter, S. Parey, P. Yiou Published: 11 February 2015
Geophysical Research Letters, doi: 10.1002/2014gl062531
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Beyond the mean warming, climate change may modify the temperature variability, with consequences on extreme events causing societal and environmental impacts. Here we assess future changes in both the inter‐diurnal variability (ITV) and diurnal range (DTR) of European summer temperatures based on CMIP5 projections under three 21st‐century scenarios. Both indices are projected to increase, with a rather good model agreement on the sign, while uncertainties remain on the amplitude. Extremely high day‐to‐day and diurnal temperature variations are expected to occur more frequently. Across models and scenarios, ITV and DTR increases vary primarily as functions of the decrease in surface evapotranspiration linked to the European summer drying. They are also partly explained by changes in the atmospheric dynamics and the surface cloud radiative effect. Model‐dependent degrees of control of (i) ITV and DTR by mean temperature, and (ii) surface evapotranspiration by soil moisture, appear as helpful metrics to reduce future uncertainties in ITV and DTR projections.
Article 1 Read 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
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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 1 Read 5 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
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[1] The important role of the evolution of mean temperature in the changes of extremes has been recently documented in the literature, and variability is known to play a role in the occurrence of extremes, too. This paper aims at further investigating the role of their evolutions in the observed changes of temperature extremes. Analyses are based on temperature time series for Eurasia and the United States and concern absolute minima in winter and absolute maxima in summer of daily minimum and maximum temperatures. A test is designed to check whether the extremes of the residuals after accounting for a time‐varying mean and standard deviation can be considered stationary. This hypothesis is generally true for all extremes, seasons, and locations. Then, the comparison between the directly fitted parameters and the retrieved ones from those of the residuals compares favorably. Finally, a method is proposed to compute future return levels from the stationary return levels of the residuals and the projected mean and variance at the desired time horizon. Comparisons with return levels obtained through the extrapolation of significant linear trends identified in the parameters of the generalized extreme value (GEV) distribution show that the proposed method gives relevant results. It allows taking mean and/or variance trends into account in the estimation of extremes even though no significant trends in the GEV parameters can be identified. Moreover, the role of trends in variance cannot be neglected. Lastly, first results based on two CMIP5 climate models show that the identified link between mean and variance trends and trends in extremes is correctly reproduced by the models and is maintained in the future.
Article 1 Read 0 Citations A New Species of the Genus Paraphlegopteryx (Trichoptera, Lepidostomatidae) from India S. Parey, M. Saini Published: 01 January 2012
Vestnik Zoologii, doi: 10.2478/v10058-012-0023-z
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A New Species of the Genus Paraphlegopteryx (Trichoptera, Lepidostomatidae) from IndiaA new species of genus Paraphlegopteryx Ulmer is described and presented from Indian Himalaya, namely Paraphlegopteryx weaveri Parey et Saini, sp. n. from Zemithang (Arunachal Pradesh) belonging to the P. composite group. As an addition to this genus the 15 valid species from India is represented. A key to all the 15 species of India which is modified after Weaver (1999) is provided. Новый вид родаParaphlegopteryx (Trichoptera, Lepidostomatidae) из ИндииНовый вид родаParaphlegopteryx Ulmer описан из Индийских Гималаев, а именноParaphlegopteryx weaveri Parey et Saini, sp. п. относящийся к группе Р.composite, из поселения Земитханг (штат Аруначал-Прадеш). В дополнении к этому роду представлены 15 видов из Индии. Приведена таблица для определения всех 15 видов (модификация Вивера (1999).
Article 1 Read 0 Citations Computing the distribution of return levels of extreme warm temperatures for future climate projections M. Pausader, D. Bernie, S. Parey, M. Nogaj Published: 04 March 2011
Climate Dynamics, doi: 10.1007/s00382-011-1032-2
DOI See at publisher website