摘要：

Global climate change, extreme weather events, earthquakes and the accompanying natural disasters pose significant risks to humanity. Due to the nonlinear and complex structure of the Earth system, the understanding and especially the forecasting of such events represent formidable challenges for the scientific community. During the past years, we have developed and implemented sophisticated statistical physics and complex network based techniques to advance our knowledge about the Earth system, e.g., climate extreme events, earthquakes and Earth Geometric Relief features, leading to substantially improved predictive performance. In this talk, I wish to provide a review of how combined statistical physics approaches (critical phenomena, network theory, percolation, scaling theory, etc.) can be applied to Earth’s complex systems (climate, earthquakes and beyond). Combining different statistical physics-based methods can provide new insights and perspectives on the dynamics of the Earth systems and even enable more reliable forecasts.