Fractal Analysis of Tide Gauge Data
Abstract
Weather and climate systems have low dimensional attractors. A consistent feature of weather and climate data is that they are aperiodic and their deviations from periodicity cannot be explained by conventional linear models of time series analysis. It is therefore essential that the nature of the sea level change is analyzed and modelled in order to assess the changes from one coastline to other or from the changes taking place in one ocean from the other neighboring oceans. In this study the approach to analyze and visualize such a comparison is done through calculating the fractal dimension of the time series on annual averages of mean sea level variations for different stations in four countries representing two different oceans regionally.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2000
- Accession Number
- ADP010927
Entities
People
- N. K. Indira