Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT
Zur Ablage hinzufügen
  Lokale TagsFreigabegeschichteDetailsÜbersicht

Freigegeben
Zeitschriftenartikel

Statistical physics and dynamical systems perspectives on geophysical extreme events

Urheber*innen

Faranda,  D.
External Organizations;

Messori,  G.
External Organizations;

Alberti,  T.
External Organizations;

Alvarez-Castro,  C.
External Organizations;

Caby,  T.
External Organizations;

Cavicchia,  L.
External Organizations;

Coppola,  E.
External Organizations;

/persons/resource/Reik.Donner

Donner,  Reik V.
Potsdam Institute for Climate Impact Research;

Dubrulle,  B.
External Organizations;

Galfi,  V. M.
External Organizations;

Holmberg,  E.
External Organizations;

Lembo,  V.
External Organizations;

Noyelle,  R.
External Organizations;

Yiou,  P.
External Organizations;

Spagnolo,  B.
External Organizations;

Valenti,  D.
External Organizations;

Vaienti,  S.
External Organizations;

Wormell,  C.
External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PIKpublic verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Faranda, D., Messori, G., Alberti, T., Alvarez-Castro, C., Caby, T., Cavicchia, L., Coppola, E., Donner, R. V., Dubrulle, B., Galfi, V. M., Holmberg, E., Lembo, V., Noyelle, R., Yiou, P., Spagnolo, B., Valenti, D., Vaienti, S., Wormell, C. (2024): Statistical physics and dynamical systems perspectives on geophysical extreme events. - Physical Review E, 110, 041001.
https://doi.org/10.1103/PhysRevE.110.041001


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_31559
Zusammenfassung
Statistical physics and dynamical systems theory are key tools to study high-impact geophysical events such as temperature extremes, cyclones, thunderstorms, geomagnetic storms, and many others. Despite the intrinsic differences between these events, they all originate as temporary deviations from the typical trajectories of a geophysical system, resulting in well-organized, coherent structures at characteristic spatial and temporal scales. While statistical extreme value analysis techniques are capable of providing return times and probabilities of occurrence of certain geophysical events, they are not apt to account for their underlying physics. Their focus is to compute the probability of occurrence of events that are large or small with respect to some specific observable (e.g., temperature, precipitation, solar wind), rather than to relate rare or extreme phenomena to the underlying anomalous geophysical regimes. This paper outlines this knowledge gap, presenting some related challenges, new formalisms and briefly commenting on how stochastic approaches tailored to the study of extreme geophysical events can help to advance their understanding.