Climate Meets Complex Systems: Exploring Predictability of Extreme Climate Events via Complex Networks

Explore the intersection of climate science and complex systems in this 46-minute lecture by Juergen Kurths from the PCS Institute for Basic Science. Delve into the challenges of predicting and analyzing extreme climate events like floods, landslides, and heatwaves using a complex network approach. Learn about the seminal contributions of Nobel Prize winners Hasselmann and Manabe to climate modeling. Discover an innovative method for reconstructing and analyzing complex networks from spatio-temporal data, uncovering relationships to global and regional circulation patterns. Gain insights into improved predictions for phenomena such as the Indian Summer Monsoon, extreme rainfall in South America, the Indian Ocean Dipole, and tropical cyclones. Understand how this approach contributes to comprehending phase transitions in past climate and addressing the increasing frequency of extreme events due to climate change.