Social physics

M Jusup, P Holme, K Kanazawa, M Takayasu, I Romić… - Physics Reports, 2022 - Elsevier
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 …

[HTML][HTML] Statistical physics approaches to the complex Earth system

J Fan, J Meng, J Ludescher, X Chen, Y Ashkenazy… - Physics reports, 2021 - Elsevier
Global warming, extreme climate events, earthquakes and their accompanying
socioeconomic disasters pose significant risks to humanity. Yet due to the nonlinear …

Network-based forecasting of climate phenomena

J Ludescher, M Martin, N Boers… - Proceedings of the …, 2021 - National Acad Sciences
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 …

Spatiotemporal analysis of extreme precipitation events in the United States at mesoscale: Complex network theory

T Jamali, B Ghanbarian, J Kurths - Journal of Hydrology, 2023 - Elsevier
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 …

Projected rapid habitat expansion of tropical seagrass species in the Mediterranean Sea as climate change progresses

P Beca-Carretero, M Teichberg, G Winters… - Frontiers in plant …, 2020 - frontiersin.org
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 …

Complexity-based approach for El Niño magnitude forecasting before the spring predictability barrier

J Meng, J Fan, J Ludescher… - Proceedings of the …, 2020 - National Acad Sciences
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 …

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 …

Climate network percolation reveals the expansion and weakening of the tropical component under global warming

J Fan, J Meng, Y Ashkenazy, S Havlin… - Proceedings of the …, 2018 - National Acad Sciences
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 …

Long-term ENSO prediction with echo-state networks

F Hassanibesheli, J Kurths… - Environmental Research …, 2022 - iopscience.iop.org
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 …

The growth effects of El Nino and La Nina: Local weather conditions matter

R Generoso, C Couharde, O Damette… - Annals of Economics and …, 2020 - JSTOR
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 …