Logo
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • English 
    • English
    • Ελληνικά
    • Deutsch
    • français
    • italiano
    • español
  • Login
View Item 
  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • View Item
  •   University of Thessaly Institutional Repository
  • Επιστημονικές Δημοσιεύσεις Μελών ΠΘ (ΕΔΠΘ)
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ.
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
Institutional repository
All of DSpace
  • Communities & Collections
  • By Issue Date
  • Authors
  • Titles
  • Subjects

Spatiotemporal Analysis of Seawatch Buoy Meteorological Observations

Thumbnail
Author
Charakopoulos A.K., Karakasidis T.E., Liakopoulos A.
Date
2015
Language
en
DOI
10.1007/s40710-015-0088-0
Keyword
Location
Statistical tests
Time series
Cross correlation methods
Cross correlations
Granger Causality
Hurst exponents
Meteorological condition
Meteorological observation
Spatiotemporal analysis
Spatiotemporal characteristics
Buoys
correlation
data set
equipment
Granger causality test
identification method
methodology
numerical method
observational method
parameter estimation
spatiotemporal analysis
time series
Aegean Sea
Ionian Sea
Mediterranean Sea
Springer Basel
Metadata display
Abstract
In the present study, we analyzed meteorological observations from Seawatch buoys in the Mediterranean Sea and specifically from locations in the Aegean and Ionian Sea. The data were collected from buoys that have been deployed by the Hellenic Center for Marine Research (HCMR) in the framework of the POSEIDON project. Our aim was to understand the spatiotemporal underlying characteristics of the meteorological conditions and identify correlation patterns between different locations. For each time series at a given buoy location we estimated mainly non-linear measures such as mutual information combined with simple descriptive statistic measures, as well as some other dynamics detectors such as Hurst Exponent and Hjorth parameters. Furthermore, the relationships between the meteorological variables were investigated using the cross correlation method as well as Granger causality methodology for identification of direction interactions among variables. The results show that the combination of the proposed methods reveals information about the spatiotemporal characteristics of the time series. © 2015 Springer International Publishing Switzerland.
URI
http://hdl.handle.net/11615/72509
Collections
  • Δημοσιεύσεις σε περιοδικά, συνέδρια, κεφάλαια βιβλίων κλπ. [19735]
htmlmap 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

My Account

LoginRegister (MyDspace)
Help Contact
DepositionAboutHelpContact Us
Choose LanguageAll of DSpace
EnglishΕλληνικά
htmlmap