Next Article in Journal
The Effect of a Hidden Source on the Estimation of Connectivity Networks from Multivariate Time Series
Previous Article in Journal
Estimation for Entropy and Parameters of Generalized Bilal Distribution under Adaptive Type II Progressive Hybrid Censoring Scheme
Article

Analysis of Air Mean Temperature Anomalies by Using Horizontal Visibility Graphs

GEPENA Research Group, University of Cordoba, Gregor Mendel Building (3rd Floor), Campus Rabanales, 14071 Cordoba, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: José A. Tenreiro Machado
Entropy 2021, 23(2), 207; https://doi.org/10.3390/e23020207
Received: 21 January 2021 / Revised: 4 February 2021 / Accepted: 4 February 2021 / Published: 8 February 2021
(This article belongs to the Section Complexity)
The last decades have been successively warmer at the Earth’s surface. An increasing interest in climate variability is appearing, and many research works have investigated the main effects on different climate variables. Some of them apply complex networks approaches to explore the spatial relation between distinct grid points or stations. In this work, the authors investigate whether topological properties change over several years. To this aim, we explore the application of the horizontal visibility graph (HVG) approach which maps a time series into a complex network. Data used in this study include a 60-year period of daily mean temperature anomalies in several stations over the Iberian Peninsula (Spain). Average degree, degree distribution exponent, and global clustering coefficient were analyzed. Interestingly, results show that they agree on a lack of significant trends, unlike annual mean values of anomalies, which present a characteristic upward trend. The main conclusions obtained are that complex networks structures and nonlinear features, such as weak correlations, appear not to be affected by rising temperatures derived from global climate conditions. Furthermore, different locations present a similar behavior and the intrinsic nature of these signals seems to be well described by network parameters. View Full-Text
Keywords: complex networks; horizontal visibility graph; time series analysis; mean temperature; topological properties complex networks; horizontal visibility graph; time series analysis; mean temperature; topological properties
Show Figures

Figure 1

MDPI and ACS Style

Gómez-Gómez, J.; Carmona-Cabezas, R.; Sánchez-López, E.; Gutiérrez de Ravé, E.; Jiménez-Hornero, F.J. Analysis of Air Mean Temperature Anomalies by Using Horizontal Visibility Graphs. Entropy 2021, 23, 207. https://doi.org/10.3390/e23020207

AMA Style

Gómez-Gómez J, Carmona-Cabezas R, Sánchez-López E, Gutiérrez de Ravé E, Jiménez-Hornero FJ. Analysis of Air Mean Temperature Anomalies by Using Horizontal Visibility Graphs. Entropy. 2021; 23(2):207. https://doi.org/10.3390/e23020207

Chicago/Turabian Style

Gómez-Gómez, Javier, Rafael Carmona-Cabezas, Elena Sánchez-López, Eduardo Gutiérrez de Ravé, and Francisco J. Jiménez-Hornero. 2021. "Analysis of Air Mean Temperature Anomalies by Using Horizontal Visibility Graphs" Entropy 23, no. 2: 207. https://doi.org/10.3390/e23020207

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop