One of the most intriguing facets of the climate system is that it exhibits variability across all
temporal and spatial scales; pronounced examples are temperature and precipitation. The …

The daily air temperature and precipitation time series recorded between January 1, 1980
and December 31, 2010 in four European sites (Jokioinen, Dikopshof, Lleida and Lublin) …

The study of time series forecasting is of great significance, particularly as accurate
forecasting under long time-series is critical to data-driven decision-making. Although …

We show the error in water-limited yields simulated by crop models which is associated with
spatially aggregated soil and climate input data. Crop simulations at large scales (regional …

Abstract Multifractal Detrended Fluctuation Analysis (MFDFA) is an efficient method to
investigate the long-term correlations of the power law of non-stationary time series, in which …

Multifractal detrended fluctuation analysis (MFDFA) method can examine higher-
dimensional fractal and multifractal characteristics hidden in time series. However, removal …

This study focuses on investigating the chaotic and multifractal behavior of atmospheric time
series of solar radiation (solar), maximum temperature (Tmax), and minimum temperature …

The results of the multifractal analysis performed for meteorological time series coming from
four stations in Poland and Bulgaria located in varying climatic zones are presented. To …

In this work, an analysis of multifractal parameters of daily precipitation series over the
Iberian Peninsula was performed in two 30-year periods to explore whether these properties …

This study presents multifractal detrended fluctuation analysis (MF‐DFA) to describe the
multifractality of Standardized Precipitation Index (SPI) series from 30 meteorological …