Social physics
Recent decades have seen a rise in the use of physics methods to study different societal
phenomena. This development has been due to physicists venturing outside of their …
phenomena. This development has been due to physicists venturing outside of their …
[HTML][HTML] Statistical physics approaches to the complex Earth system
Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …
Network-based forecasting of climate phenomena
Network theory, as emerging from complex systems science, can provide critical predictive
power for mitigating the global warming crisis and other societal challenges. Here we …
power for mitigating the global warming crisis and other societal challenges. Here we …
Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory
Analyzing the complex behavior of extreme precipitation events (EPEs) is essential to better
understand the effect of climate change on surface and subsurface water resources and …
understand the effect of climate change on surface and subsurface water resources and …
Projected rapid habitat expansion of tropical seagrass species in the Mediterranean Sea as climate change progresses
During the last 150 years, the tropical seagrass species Halophila stipulacea has
established itself in the southern and eastern parts of the Mediterranean Sea. More recently …
established itself in the southern and eastern parts of the Mediterranean Sea. More recently …
Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier
The El Niño Southern Oscillation (ENSO) is one of the most prominent interannual climate
phenomena. Early and reliable ENSO forecasting remains a crucial goal, due to its serious …
phenomena. Early and reliable ENSO forecasting remains a crucial goal, due to its serious …
El Niño index prediction using deep learning with ensemble empirical mode decomposition
Y Guo, X Cao, B Liu, K Peng - Symmetry, 2020 - mdpi.com
El Niño is an important quasi-cyclical climate phenomenon that can have a significant
impact on ecosystems and societies. Due to the chaotic nature of the atmosphere and ocean …
impact on ecosystems and societies. Due to the chaotic nature of the atmosphere and ocean …
Climate network percolation reveals the expansion and weakening of the tropical component under global warming
Global climate warming poses a significant challenge to humanity; it is associated with, eg,
rising sea level and declining Arctic sea ice. Increasing extreme events are also considered …
rising sea level and declining Arctic sea ice. Increasing extreme events are also considered …
Long-term ENSO prediction with echo-state networks
Abstract The El Niño-Southern Oscillation (ENSO) is a climate phenomenon that profoundly
impacts weather patterns and extreme events worldwide. Here we develop a method based …
impacts weather patterns and extreme events worldwide. Here we develop a method based …
The growth effects of El Nino and La Nina: Local weather conditions matter
This paper contributes to the climate-economy literature by analysing the role of weather
patterns in influencing the transmission of global climate cycles to economic growth. More …
patterns in influencing the transmission of global climate cycles to economic growth. More …