It has become vital to effectively characterize the self-similar and regular patterns in time
series marked by short-term and long-term memory in various fields in the ever-changing …

The use of satellite and reanalysis weather product is gaining traction in the scientific
community especially in developing worlds where in situ data are sparse. Tropical locations …

The dynamical complexities of geospace has been examined by investigating the
characteristic chaotic properties of hourly Dst values obtained from the World Data Center …

The main goal of this work is summed up in a univariate chaotic analysis of the runoff series
using a topological approach. As such, nineteen series of daily runoff from eight large …

Complex processes occurring across different layers of the atmosphere govern weather
events at the surface. Understanding these complexities as they unfold across altitudes is …

The structure and characteristics of geomagnetic inter-storm intervals, the sequence of time
differences between two successive storm events, can provide information about the origin …

Understanding the dynamics of climate extremes is important in its prediction and modelling.
In this study, linear trends in percentile, threshold, absolute, and duration-based temperature …

This study investigates the linear and nonlinear dynamics of precipitation and temperature
extremes. Monthly daily temperature range (DTR) and maximum 5-day precipitation (RX5) …

The efficiency of stock markets in different regions of the world has been investigated using
multifractal formalism, but little attention has been paid to developing markets like Nigeria. In …

Drought poses a significant threat to the delicate economies in subsaharan Africa. This study
investigates the influence of large scale ocean oscillation on drought in West Africa …