Natural variability and persistence in oceanic variables

Moschos, EVangelos; Μόσχος, Ευάγγελος

dc.contributor.author	Moschos, EVangelos	en
dc.contributor.author	Μόσχος, Ευάγγελος	el
dc.date.accessioned	2018-10-30T12:26:42Z
dc.date.available	2018-10-30T12:26:42Z
dc.date.issued	2018-10-30
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/47865
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.15766
dc.rights	Default License
dc.subject	Sea level	en
dc.subject	Sea surface temperature	en
dc.subject	Stochastic methods	en
dc.subject	Long term persistence	en
dc.subject	Natural variability	en
dc.subject	Στάθμη της θάλασσας	el
dc.subject	Επιφανειακή θαλάσσια θερμοκρασία	el
dc.subject	Στοχαστικές μέθοδοι	el
dc.subject	Μακροπρόθεσμη εμμονή	el
dc.subject	Φυσική μεταβλητότητα	el
dc.title	Natural variability and persistence in oceanic variables	en
dc.title	Φυσική μεταβλητότητα και εμμονή σε ωκεάνιες μεταβλητές	el
heal.type	bachelorThesis
heal.classification	Φυσική ωκεανογραφία	el
heal.classification	Παλαιοκλιματολογία	el
heal.classification	Στοχαστικές διαδικασίες	el
heal.classification	Physical oceanography	en
heal.classification	Stochastic processes	el
heal.classificationURI	http://data.seab.gr/concepts/0c720f288b6d54beb5037fd8f382c25b5ee83e38
heal.classificationURI	http://data.seab.gr/concepts/8b3294b460b4442e7c99a65c2bf44f42621bff33
heal.classificationURI	http://data.seab.gr/concepts/00b94906743fbc12dfadd9e7cee1d107cae9fdd7
heal.classificationURI	http://data.seab.gr/concepts/0c720f288b6d54beb5037fd8f382c25b5ee83e38
heal.classificationURI	http://data.seab.gr/concepts/00b94906743fbc12dfadd9e7cee1d107cae9fdd7
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2018-07-19
heal.abstract	Long records and reconstructions of oceanic variables as the Sea Level (SL) and the Sea Surface Temperature (SST) portray the intrinsic variability they inhibit through multiple time scales. In this study we examine the Long Term Persistence (or Long Range Dependence) that these variables exhibit by using observed and reconstructed proxies on time scales spanning from 1 month to 10 million years. We also associate their variability with periodic or oscillation processes such as the Milankovitch cycles for the SL variable and the ENSO phenomenon for the SST variable. Simple and parsimonious tools derived from Stochastic Methods, such as the climacogram and the Hurst exponent, which can be easily reproduced with basic elements of probabilities and statistics, are utilized for the purposes of this study.	en
heal.advisorName	Κουτσογιάννης, Δημήτρης	el
heal.committeeMemberName	Κουτσογιάννης, Δημήτρης	el
heal.committeeMemberName	Μαμάσης, Νίκος	el
heal.committeeMemberName	Παναγούλια, Διονυσία	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών. Τομέας Υδατικών Πόρων και Περιβάλλοντος	el
heal.academicPublisherID	ntua
heal.numberOfPages	97 σ.	el
heal.fullTextAvailability	true