On the Impacts of the Global Sea Level Dynamics-Reference-Cited by-同舟云学术

On the Impacts of the Global Sea Level Dynamics

Published:2024-01-05 Issue:1 Volume:8 Page:39
ISSN:2504-3110
Container-title:Fractal and Fractional
language:en
Short-container-title:Fractal Fract

Author:

Varotsos Costas¹²^ORCID,Mazei Yuri¹³⁴,Sarlis Nicholas V.⁵^ORCID,Saldaev Damir¹³,Efstathiou Maria¹

Affiliation:

1. Faculty of Biology, Shenzhen MSU-BIT University, Shenzhen 518172, China

2. Climate Research Group, Division of Environmental Physics and Meteorology, Faculty of Physics, National and Kapodistrian University of Athens, 15784 Athens, Greece

3. Department of General Ecology and Hydrobiology, Lomonosov Moscow State University, Leninskiye Gory, 1, Moscow 119991, Russia

4. Severtsov Institute of Ecology and Evolution, Russian Academy of Sciences, Leninskiy Ave. 33, Moscow 117071, Russia

5. Section of Condensed Matter Physics, Department of Physics, National and Kapodistrian University of Athens, 15784 Zografos, Greece

Abstract

The temporal evolution of the global mean sea level (GMSL) is investigated in the present analysis using the monthly mean values obtained from two sources: a reconstructed dataset and a satellite altimeter dataset. To this end, we use two well-known techniques, detrended fluctuation analysis (DFA) and multifractal DFA (MF-DFA), to study the scaling properties of the time series considered. The main result is that power-law long-range correlations and multifractality apply to both data sets of the global mean sea level. In addition, the analysis revealed nearly identical scaling features for both the 134-year and the last 28-year GMSL-time series, possibly suggesting that the long-range correlations stem more from natural causes. This demonstrates that the relationship between climate change and sea-level anomalies needs more extensive research in the future due to the importance of their indirect processes for ecology and conservation.

Publisher

MDPI AG

Subject

Statistics and Probability,Statistical and Nonlinear Physics,Analysis

Link

https://www.mdpi.com/2504-3110/8/1/39/pdf

Reference54 articles.

1. Tipping elements and amplified polar warming during the Last Interglacial;Thomas;Quat. Sci. Rev.,2020

2. Univariate modelling of monthly maximum temperature time series over northeast India: Neural network versus Yule–Walker equation based approach;Chattopadhyay;Meteorol. Appl.,2011

3. Baklanov, A., and Grisogono, B. (2007). Atmospheric Boundary Layers, Springer.

4. Long-term global sea-level change due to dynamic topography since 410 MA;Yang;Deep Sea Res. Part I Oceanogr. Res. Pap.,2023

5. On the relation between rain, clouds, and cosmic rays;Varotsos;Remote Sens. Lett.,2023