Στοχαστική διερεύνηση της συμπεριφοράς της θερμοκρασίας στην επιφάνεια της Γης σε παγκόσμια κλίμακα

Γλύνης, Κωνσταντίνος-Γεώργιος; Glynis, Konstantinos-Georgios

dc.contributor.author	Γλύνης, Κωνσταντίνος-Γεώργιος	el
dc.contributor.author	Glynis, Konstantinos-Georgios	en
dc.date.accessioned	2020-05-04T20:43:22Z
dc.date.available	2020-05-04T20:43:22Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/50385
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.18083
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Θερμοκρασία	el
dc.subject	Ακραίες τιμές	el
dc.subject	Συμπεριφορά Hurst-Kolmogorov	el
dc.subject	Σχήμα συμμετρικού κυλιόμενου μέσου	el
dc.subject	Κλιμακόγραμμα	el
dc.subject	Temperature	en
dc.subject	Extreme values	en
dc.subject	Hurst-Kolmogorov behavior	en
dc.subject	Symmetric Moving Average scheme	en
dc.subject	Climacogram	en
dc.title	Στοχαστική διερεύνηση της συμπεριφοράς της θερμοκρασίας στην επιφάνεια της Γης σε παγκόσμια κλίμακα	el
dc.title	Stochastic investigation of the behavior of land surface air temperature on global scale	en
heal.type	bachelorThesis
heal.classification	Στοχαστική διερεύνηση	el
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2019-10-30
heal.abstract	Land surface air temperature is one of the most important hydroclimatic variables, and its extremes are of paramount importance. For this reason, it is imperative not only to know the exact shape of the temperature tails, but also their temporal evolution. The aim of this work is to investigate the stochastic behavior of land surface air temperature using Knowable (K-)moments. K-moments were chosen for this study, as they enable reliable estimation from samples and effective description of high order statistics, useful for marginal and joint distributions of stochastic processes. Multiple timeseries of the average, maximum and minimum air temperature are standardized with respect to the monthly variability of each record. We generate segments of the whole timeseries using consecutive rolling 30-year periods, from which we extract extreme values corresponding to four specific return period levels. Furthermore, timeseries of each air temperature variable (average, maximum and minimum) are used as input to an aggregated Climacogram, for deriving the Hurst parameter, through optimization of the parameters of a hybrid Hurst-Kolmogorov and Markov model. The Hurst parameter is later employed in a Monte Carlo simulation to produce synthetic records of similar stochastic properties through the Symmetric Moving Average (SMA) scheme. The synthetic records produced are processed in a similar manner as the observed, in order to compare them. Furthermore, the longest single records for each air temperature variable are selected and compared to the ensemble of observations, as well as the synthetic records.	en
heal.advisorName	Κουτσογιάννης, Δημήτρης	el
heal.committeeMemberName	Κουτσογιάννης, Δημήτρης	el
heal.committeeMemberName	Νουτσόπουλος, Κωνσταντίνος	el
heal.committeeMemberName	Μαμάσης, Νίκος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών. Τομέας Υδατικών Πόρων και Περιβάλλοντος	el
heal.academicPublisherID	ntua
heal.numberOfPages	159 σ.
heal.fullTextAvailability	false