Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …

Climatic conditions influence the culture and economy of societies and the performance of
economies. Specifically, El Niño as an extreme climate event is known to have notable …

Complex networks have been used intensively to investigate the flow and dynamics of many
natural systems including the climate system. Here, we develop a percolation based …

Episodically occurring internal (climatic) and external (non-climatic) disruptions of normal
climate variability are known to both affect spatio-temporal patterns of global surface air …

Different definitions of links in climate networks may lead to considerably different network
topologies. We construct a network from climate records of surface level atmospheric …

A climate anomaly is defined as the difference between a climate variable and a baseline,
which is often the climate normal. In climate change studies, climate anomalies are more …

In this study, the performance of CMIP5 models in simulating the El Niño-Southern
Oscillation (ENSO) is evaluated by using a new metric based on percolation theory. The …

Network analysis has become an important approach in studying complex spatiotemporal
behaviour within geophysical observation and simulation data. This new field produces …

In this study, sea surface air temperature over the Pacific is constructed as a network, and
the influences of sea surface temperature anomaly in the tropical central eastern Pacific (El …

Increasing atmospheric carbon dioxide (CO 2) is expected to be the main factor of global
warming. The relation between CO 2 concentrations and surface air temperature (SAT) has …