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 …

Climate change affects vegetation growth around the world. It has been recognized that the
effect of climate change on vegetation growth exhibits hysteresis. However, the duration and …

Long term memory (LTM) in climate variability is studied by means of fractional integral
techniques. By using a recently developed model, Fractional Integral Statistical Model …

Wind speed is one the most important variables of the wind phenomena. Thus, it is important
to investigate the main temporal and spatial characteristics of the wind speed to benefit …

Global warming exerts a strong impact on the Earth system. Despite recent progress, Earth
System Models still project a large range of possible warming levels. Here we employ a …

Scaling behaviors of the long daily wind speed records of four selected weather stations
over China were analyzed by using Multi-Fractal Detrended Fluctuation Analysis (MF-DFA) …

The daily temperatures from observational data, NCEP-2 and CFSR reanalysis data all
exhibit long-range correlation (LRC) characteristics, which provides a test bed for assessing …

Slowing variability in climate system is an important source of climate predictability.
However, it is still challenging for current dynamical models to fully capture the variability as …

Scaling behaviors in the precipitation time series derived from 1951 to 2009 over China are
investigated by detrended fluctuation analysis (DFA) method. The results show that there …

Long‐term memory (LTM) in climate variability is studied by means of fractional integral
techniques. We establish a new model, Fractional Integral Statistical Model (FISM), with …