Dear Colleagues,

Climate change has the potential to threaten our society through impacts on health, economics, conflict, migration, and demographics. As a result of the strong complexity and nonlinearity of the Earth system, the understanding and, in particular, the forecasting of such events represent formidable challenges for the scientific community. Sophisticated modern techniques, from machine learning and network theory to nonlinear data analysis, can provide crucial predictive power for mitigating the global-warming crisis and other socio-climatic challenges. This is currently a hot research topic in all branches of science and technology. This is a timely Special Issue in which outstanding scientists from around the world and from all related areas can gather together and exchange ideas and concerns from different aspects.

Dr. Jingfang Fan
Dr. Sridhara Nayak
Dr. Jun Meng
Guest Editors