Perturbation Growth and Prediction of Extreme Events

dc.contributor.advisor	Timme, Marc Prof. Dr.
dc.contributor.author	Sharafi, Nahal
dc.date.accessioned	2018-11-15T11:01:35Z
dc.date.available	2018-11-15T11:01:35Z
dc.date.issued	2018-11-15
dc.identifier.uri	http://hdl.handle.net/11858/00-1735-0000-002E-E502-8
dc.identifier.uri	http://dx.doi.org/10.53846/goediss-7144
dc.language.iso	eng	de
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.ddc	571.4	de
dc.title	Perturbation Growth and Prediction of Extreme Events	de
dc.type	doctoralThesis	de
dc.contributor.referee	Kree, Reiner Prof. Dr.
dc.date.examination	2017-11-16
dc.description.abstracteng	Extreme events occur in a variety of dynamical systems. Here we employ quantifiers of chaos to identify changes in the dynamical structure of complex systems preceding an extreme event.	de
dc.contributor.coReferee	Parlitz, Ulrich Prof. Dr.
dc.contributor.thirdReferee	Wolf, Fred Prof. Dr.
dc.contributor.thirdReferee	Heussinger, Claus Dr.
dc.subject.eng	Prediction	de
dc.subject.eng	Extreme events	de
dc.subject.eng	Covariant Lyapunov Vectors	de
dc.subject.eng	Non-linear Dynamics	de
dc.subject.eng	chaos	de
dc.subject.eng	Complex Systems	de
dc.identifier.urn	urn:nbn:de:gbv:7-11858/00-1735-0000-002E-E502-8-0
dc.affiliation.institute	Göttinger Graduiertenschule für Neurowissenschaften, Biophysik und molekulare Biowissenschaften (GGNB)	de
dc.subject.gokfull	Biologie (PPN619462639)	de
dc.identifier.ppn	1040619894

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