Extreme events: dynamics, statistics and prediction - École des Ponts ParisTech Access content directly
Journal Articles Nonlinear Processes in Geophysics Year : 2011

Extreme events: dynamics, statistics and prediction

O. Mestre
  • Function : Author

Abstract

We review work on extreme events, their causes and consequences, by a group of European and American researchers involved in a three-year project on these topics. The review covers theoretical aspects of time series analysis and of extreme value theory, as well as of the deterministic modeling of extreme events, via continuous and discrete dynamic models. The applications include climatic, seismic and socio-economic events, along with their prediction. Two important results refer to (i) the complementarity of spectral analysis of a time series in terms of the continuous and the discrete part of its power spectrum; and (ii) the need for coupled modeling of natural and socio-economic systems. Both these results have implications for the study and prediction of natural hazards and their human impacts.
Fichier principal
Vignette du fichier
npg-18-295-2011.pdf (4.13 Mo) Télécharger le fichier
Origin : Publication funded by an institution
Loading...

Dates and versions

hal-00716514 , version 1 (04-09-2020)

Licence

Attribution

Identifiers

Cite

M. Ghil, Pascal Yiou, Stéphane Hallegatte, B. D. Malamud, P. Naveau, et al.. Extreme events: dynamics, statistics and prediction. Nonlinear Processes in Geophysics, 2011, 18 (3), pp.295-350. ⟨10.5194/npg-18-295-2011⟩. ⟨hal-00716514⟩
430 View
323 Download

Altmetric

Share

Gmail Facebook X LinkedIn More