Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures

Deza, J. I., Tirabassi, G., Barreiro, M. and Masoller, C. and Springer International Publishing (2018) Large-scale atmospheric phenomena under the lens of ordinal time-series analysis and information theory measures. In: Tsonis, A., ed. (2018) Advances in Nonlinear Geosciences. Switzerland: Springer International Publishing, pp. 87-99. ISBN 9783319588940 Available from: http://eprints.uwe.ac.uk/39890

Full text not available from this repository.

Abstract/Description

This review presents a synthesis of our work done in the framework of the European project Learning about Interacting Networks in Climate (LINC, climatelinc.eu). We have applied tools of information theory and ordinal time series analysis to investigate large scale atmospheric phenomena from climatological datasets. Specifically, we considered monthly and daily Surface Air Temperature (SAT) time series (NCEP reanalysis) and used the climate network approach to represent statistical similarities and interdependencies between SAT time series in different geographical regions. Ordinal analysis uncovers how the structure of the climate network changes in different time scales (intra-season, intra-annual, and longer). We have also analyzed the directionally of the links of the network, and we have proposed novel approaches for uncovering communities formed by geographical regions with similar SAT properties.

Item Type: Book Section
Uncontrolled Keywords: climate networks, nonlinear time series analysis, climate communities, information transfer
Faculty/Department: Faculty of Environment and Technology > Department of Architecture and the Built Environment
Depositing User: Dr I. Deza
Date Deposited: 19 Mar 2019 16:06
Last Modified: 19 Mar 2019 16:07
URI: http://eprints.uwe.ac.uk/id/eprint/39890

Statistics

Downloads
Activity Overview
0Downloads
0Hits
Origin of downloads

Additional statistics for this repository are available via IRStats2

Actions (login required)

View Item View Item