Causal inference for time series

J Runge, A Gerhardus, G Varando, V Eyring… - Nature Reviews Earth & …, 2023 - nature.com
Many research questions in Earth and environmental sciences are inherently causal,
requiring robust analyses to establish whether and how changes in one variable cause …

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 …

Discovering causal relations and equations from data

G Camps-Valls, A Gerhardus, U Ninad, G Varando… - Physics Reports, 2023 - Elsevier
Physics is a field of science that has traditionally used the scientific method to answer
questions about why natural phenomena occur and to make testable models that explain the …

Complex network approaches to nonlinear time series analysis

Y Zou, RV Donner, N Marwan, JF Donges, J Kurths - Physics Reports, 2019 - Elsevier
In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …

Global droughts connected by linkages between drought hubs

S Mondal, A K. Mishra, R Leung, B Cook - Nature communications, 2023 - nature.com
Quantifying the spatial and interconnected structure of regional to continental scale droughts
is one of the unsolved global hydrology problems, which is important for understanding the …

[图书][B] Multilayer networks: structure and function

G Bianconi - 2018 - books.google.com
Multilayer networks is a rising topic in Network Science which characterizes the structure
and the function of complex systems formed by several interacting networks. Multilayer …

Machine learning for the geosciences: Challenges and opportunities

A Karpatne, I Ebert-Uphoff, S Ravela… - … on Knowledge and …, 2018 - ieeexplore.ieee.org
Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …

[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 …

The physics of climate variability and climate change

M Ghil, V Lucarini - Reviews of Modern Physics, 2020 - APS
The climate is a forced, dissipative, nonlinear, complex, and heterogeneous system that is
out of thermodynamic equilibrium. The system exhibits natural variability on many scales of …

Analyzing and modeling real-world phenomena with complex networks: a survey of applications

LF Costa, ON Oliveira Jr, G Travieso… - Advances in …, 2011 - Taylor & Francis
The success of new scientific areas can be assessed by their potential in contributing to new
theoretical approaches and in applications to real-world problems. Complex networks have …