The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Extreme events: dynamics, statistics and prediction
Open accessAbstract
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.
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Cites
A contribution to the theory of economic growth
Solow, R. M. (1956) · The Quarterly Journal of Economics · doi:10.2307/1884513 · Cited by 24,483
Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields
Guckenheimer, J., & Holmes, P. (1983) · Applied Mathematical Sciences · doi:10.1007/978-1-4612-1140-2 · Cited by 16,144
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459 · cited 2×
“Mañé (1981), Ruelle (1981) and Takens (1981) had the idea, developed further by Sauer et al. (1991), that a single observed time series X̂ = Xi0 or, more generally, some scalar function of X, X̂(t) = φ(X1(t), . . . ,Xp(t)), could be used to reconstruct the attractor of a forced dissipative system.”
Power-Law Distributions in Empirical Data
Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019
Lasota, A., & Mackey, M. C. (1994) · Applied Mathematical Sciences · doi:10.1007/978-1-4612-4286-4 · Cited by 1,353
Kharin, V. V., Zwiers, F. W., Zhang, X., & Hegerl, G. C. (2007) · Journal of Climate · doi:10.1175/jcli4066.1 · Cited by 1,103
Oscillatory modes of extended Nile River records (A.D. 622–1922)
Kondrashov, D., Feliks, Y., & Ghil, M. (2005) · Geophysical Research Letters · doi:10.1029/2004gl022156 · Cited by 133
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Cited by
Identifying causal gateways and mediators in complex spatio-temporal systems
Runge, J., Petoukhov, V., Donges, J. F., Hlinka, J., Jajcay, N., Vejmelka, M., Hartman, D., Marwan, N., Paluš, M., & Kurths, J. (2015) · Nature Communications · doi:10.1038/ncomms9502 · Cited by 329
A few extreme events dominate global interannual variability in gross primary production
Zscheischler, J., Mahecha, M. D., von Buttlar, J., Harmeling, S., Jung, M., Rammig, A., Randerson, J. T., Schölkopf, B., Seneviratne, S. I., Tomelleri, E., et al. (2014) · Environmental Research Letters · doi:10.1088/1748-9326/9/3/035001 · Cited by 266
Metadata
- Authors
- Ghil, M., Yiou, P., Hallegatte, S., Malamud, B. D., Naveau, P., Soloviev, A., Friederichs, P., Keilis-Borok, V., Kondrashov, D., Kossobokov, V., Mestre, O., Nicolis, C., Rust, H. W., Shebalin, P., Vrac, M., Witt, A., & Zaliapin, I.
- Venue
- Nonlinear Processes in Geophysics
- Publisher
- Copernicus GmbH
- Published
- 2011-05-18
- Volume
- 18
- Issue
- 3
- Pages
- 295-350
- ISSN
- 1023-5809 (ISSN-L)
- 1607-7946
- OpenAlex
- W2038878767
- Cited by
- 265
- References
- 7
- FWCI
- 35.42
- Type
- journal article
- Language
- en
- Open access
- gold
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- Ghil, M., Yiou, P., Hallegatte, S., Malamud, B. D., Naveau, P., Soloviev, A., Friederichs, P., Keilis-Borok, V., Kondrashov, D., Kossobokov, V., Mestre, O., Nicolis, C., Rust, H. W., Shebalin, P., Vrac, M., Witt, A., & Zaliapin, I. (2011). Extreme events: dynamics, statistics and prediction. Nonlinear Processes in Geophysics. https://doi.org/10.5194/npg-18-295-2011
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
