CEA
CNRS
UVSQ
Recherche
LSCE > Pascal YIOU

Pascal YIOU

Climat et Cycles – Modélisation de leurs variabilités et de leurs interactions

Extrêmes : STatistiques, Impacts et Régionalisation

Tél. : 01.69.08.77.28
Fax : 0169087716
Email :

Fonction

Chercheur, Expert International CEA

Sujets de recherche

My main research area is climate extreme and rare events (like heatwaves, cold spells, extreme precipitation or storms). I am interested in their statistical and mathematical modelling. I focus on properties of the atmospheric circulation (patterns, recurrences, persistence…). I have developed methods based on analogues of circulation, which have interesting mathematical properties when dealing with chaotic dynamical systems.

One of the topic I work on is the attribution of extreme events (EEA), i.e. how the probability of an event is affected by forcings (anthropogenic or not). In order to do so, I focus on the relation between the atmospheric circulation and the observable on which the extreme is detected (e.g. cumulated precipitation, average temperature, max temperature…) and look at recurrence properties of atmospheric patterns, and how those properties can change. This can be called “conditional attribution”.

One of the outcomes of this research on the properties of the atmospheric circulation is the development of stochastic weather generators that sample the invariant measure of an underlying attractor. This allows simulating large ensembles of climate sequences, with various hypotheses of external climate forcings.

CV

Education

2004 Habilitation à Diriger les Recherches, Université Pierre et Marie Curie (UPMC), Paris, France
1994 PhD (Appl. Mathematics), Université Pierre et Marie Curie (UPMC), Paris, France
1990 DEA (Master), Analyse Numérique, UPMC, Paris, France
Ecole Nationale des Ponts et Chaussées (computer science and applied mathematics), Paris, France

1983 – 1986: Classes préparatoire, Lycée Louis-le Grand, Paris, France

1980 – 1983: Baccalauréat (2de – Terminale), Lycée Louis-le-Grand, Paris, France

1976 – 1980: Collège Juliette Adam, Gif-sur-Yvette, France

1968 – 1976: Maternelle-CM2, Ecole du Centre, Gif-sur-Yvette, France

1965 Birth, Hôpital des Bluets, Paris, France

Current position

2015 – Senior scientist, Research director, LSCE, CEA, France

2012 – Associate Editor of the Journal of Atmospheric and Solar Terrestrial Physics

Previous positions

2008 – 2014 Director of statistics team (ESTIMR), LSCE, CEA, France
2009 – 2010 Visiting professor, University of Tokyo, Japan
1996 – 1997 Visiting professor, Dept. Atmospheric Sciences, UCLA, USA

1990-1991 Army scientist (scientifique du contingent), Service de Recherche Opérationnelle de l’Armée de Terre, Paris, France

1988-1989 Assistant researcher, Dept. Atmospheric Sciences, UCLA, USA

Ongoing projects

  • XAIDA (H2020): Artificial Intelligence for extreme events. I co-coordinate WP5 on the simulation of unprecedented events.
  • SAMPRACE (ANR): Sampling of Rare (climate) events with statistical mechanics algorithms

Publications scientifiques

Recent papers

  1. John, A., Douville, H., Ribes, A., & Yiou, P. Quantifying CMIP6 model uncertainties in extreme precipitation projections. Weather and Climate Extremes (2022), doi:https://doi.org/10.1016/j.wace.2022.100435
  2. Breton, F., Vrac, M., Yiou, P., Vaittinada Ayar, P., & Jézéquel, A. (2022). Seasonal circulation regimes in the North Atlantic: Towards a new seasonality. International Journal of Climatology, 1– 23. https://doi.org/10.1002/joc.7565
  3. Luu, L. N., Vautard, R., Yiou, P., and Soubeyroux, J.-M.: Evaluation of convection-permitting extreme precipitation simulations for the south of France, Earth Syst. Dynam., 13, 687–702, https://doi.org/10.5194/esd-13-687-2022, 2022
  4. Faranda, D., Vrac, M., Yiou, P., Pons, F. M. E., Hamid, A., Carella, G., Ngoungue Langue, C., Thao, S., and Gautard, V.: Enhancing geophysical flow machine learning performance via scale separation, Nonlin. Processes Geophys., 28, 423–443, https://doi.org/10.5194/npg-28-423-2021, 2021.
  5. Yiou, P.; Faranda, D.; Thao, S.; Vrac, M. Projected Changes in the Atmospheric Dynamics of Climate Extremes in France. Atmosphere 2021, 12, 1440. https://doi.org/10.3390/atmos12111440
  6. Yiou, P. and Viovy, N.: Modelling forest ruin due to climate hazards, Earth Syst. Dynam., 12, 997–1013, https://doi.org/10.5194/esd-12-997-2021, 2021.
  7. Platzer, P., Yiou, P., Naveau, P., Filipot, J.-F., Thiébaut, M., & Tandeo, P. (2021). Probability Distributions for Analog-To-Target Distances, Journal of the Atmospheric Sciences, 78(10), 3317-3335. https://doi.org/10.1175/JAS-D-20-0382.1
  8. Platzer, P., Yiou, P., Naveau, P., Tandeo, P., Filipot, J.-F., Ailliot, P., & Zhen, Y. (2021). Using Local Dynamics to Explain Analog Forecasting of Chaotic Systems, Journal of the Atmospheric Sciences, 78(7), 2117-2133. https://doi.org/10.1175/JAS-D-20-0204.1
  9. Pfleiderer, P., Jézéquel, A., Legrand, J., Legrix, N., Markantonis, I., Vignotto, E., and Yiou, P.: Simulating compound weather extremes responsible for critical crop failure with stochastic weather generators, Earth Syst. Dynam., 12, 103–120, 2021, https://doi.org/10.5194/esd-12-103-2021.
  10. Caby, T, Vaienti, S.; Faranda, D. & Yiou, P., Extreme Value Distributions of observation recurrences, Nonlinearity, 34, https://iopscience.iop.org/article/10.1088/1361-6544/abaff1

Complete list here.

Book

Yiou P. (2015) Le Temps s’est-il détraqué?, Buchet-Chastel, Paris

Book chapters

Yiou P. et Jézéquel A. (2017) Crise, catastrophe, risque et adaptation, in Euzen A. et al. (ed), L’adaptation au changement climatique. Une question de sociétés, CNRS Edition, Paris

Yiou P. (2015), Changement climatique et événements météorologiques majeurs, Encyclopædia Universalis. http://www.universalis.fr/encyclopedie/changement-climatique-et-evenements-meteorologiques-majeurs/

Yiou P. (2014) Exploration des bases de données pour évaluer l’impact du changement climatique, A. Euzen et al. (Eds.) Le Développement Durable à Découvert, CNRS Editions, Paris

Braconnot P. et Yiou P. (2013) Holocène et perturbation anthropique, Duplessy JC et Ramstein G. (Eds.), Paléoclimatologie : Enquêtes sur les Climat Anciens (Tome II), CNRS Editions, Paris

Yiou P. (2013) Climatologie et statistiques, N. Anantharaman et al. (Eds.) L’explosion des Mathématiques, SFdS, SMAI, SMF

Yiou P. (2011) Analyse de données climatiques, C. Jeandel and R. Mosséry (Eds.) Le Climat à Découvert, CNRS Editions, Paris, pp. 138-141

Yiou, P. & Paillard (2002), D. Holton, J. R.; Pyle, J. & Curry, J. A. (Eds.) Climate Variability: Glacial-Interglacial Variations Encyclopedia of Atmospheric Sciences, Academic Press, 424-432

Guiot J., Yiou P. (2011) Méthodes statistiques, fonctions de transfert, C. Jeandel and R. Mosséry (Eds.) Le Climat à Découvert, CNRS Editions, Paris, pp. 133-136

Xoplaki, E., R. M. Trigo, R. García-Herrera, D. Barriopedro, F. D’Andrea, E. M. Fischer, L. Gimeno, C. Gouveia, E. Hernandez, F. G. Kuglitsch, A. Mariotti, R. Nieto, J. G. Pinto, D. Pozo-Vázquez, H. Saaroni, A. Toreti, I. F. Trigo, S. M. Vicente-Serrano, P. Yiou, and B. Ziv, 2012: Large-Scale Atmospheric Circulation Driving Extreme Climate Events in the Mediterranean and its Related Impacts. In: Lionello, P. (ed.) The Climate of the Mediterranean Region. From the past to the future. Elsevier, 349-417.

Enseignement

Statistics for climate scientists

Climate extremes

Divers

blog: https://wordpress.com/posts/cygnenoirblog.wordpress.com
a2c2: https://a2c2.lsce.ipsl.fr