Causal inference for time series
Many research questions in Earth and environmental sciences are inherently causal,
requiring robust analyses to establish whether and how changes in one variable cause …
requiring robust analyses to establish whether and how changes in one variable cause …
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 …
Discovering causal relations and equations from data
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 …
questions about why natural phenomena occur and to make testable models that explain the …
Complex network approaches to nonlinear time series analysis
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 …
complex network methods for the characterization of dynamical systems based on time …
Global droughts connected by linkages between drought hubs
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 …
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 …
and the function of complex systems formed by several interacting networks. Multilayer …
Machine learning for the geosciences: Challenges and opportunities
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 …
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
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 …
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 …
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
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 …
theoretical approaches and in applications to real-world problems. Complex networks have …