Agricultural drought affects the regional food security and thus understanding how
meteorological drought propagates to agricultural drought is crucial. This study examines …

This study investigated the scaling characteristics of daily rainfall time series over India and
their spatio-temporal variability using Multifractal Detrended Fluctuation Analysis (MF-DFA) …

Scale issues become very important when applying weather time series. We address
problems associated with transferring meteorological data across time scales by comparing …

This paper presents a study of a wind speed time series from La Venta, Oaxaca, Mexico. The
time series consists of anemometric measurements taken by the Federal Electricity …

Characterizing the dynamic behavior underlying wind field from experimental multivariate
signals is a challenging problem of continuous interest. In this work, we propose the …

Persistence and multifractality are two fundamental properties of hydrological time series.
This study aims at understanding the origin of the Hurst exponent of streamflow time series …

In this study, the long-range relationships between North Atlantic Oscillation (NAO) and
precipitation data obtained from Climate Prediction Centre (CPC) Merged Analysis of …

We present results of Multifractal Detrended Fluctuation Analysis (MF-DFA) of soil radon
(222 Rn) and thoron (220 Rn) time series to examine the scaling and multifractal features …

The generation of geomagnetic time series frequently involves intricate spatio-temporal
dynamics, wherein nonlinearity and scaling emerge as pivotal mechanisms. The present …

Profound research on the characteristics of the long-term persistence of wind is greatly
significant for understanding the characteristics of wind speed mechanisms as well as for …