This theme connects mechanisms of synchronized extreme heatwaves with long-lead tropical monsoon rainfall prediction, emphasizing land-surface drivers, teleconnections, and predictability.
Extreme events and monsoon rainfall have direct consequences for agriculture, water resources, energy systems, and public safety. Studying them requires combining local physical mechanisms, cross-regional teleconnections, and long-lead predictability.
The group focuses on two linked questions: How can land-surface anomalies trigger or strengthen synchronized remote extremes? Can complex-system and climate-network methods turn precursor signals into long-lead rainfall forecasts?
Dry soil moisture on the Tibetan plateau drives synchronous extreme heatwaves in Europe and East Asia uses extreme-heatwave event-day synchronization and climate networks to reveal close links between extremely dry soil moisture in key Tibetan Plateau regions and synchronized heatwaves in Europe and East Asia.
Tropical monsoon rainfall can be predicted with lead times up to 10 months constructs annual climate networks from 2 m air temperature and uses dynamic learning windows to forecast rainy-season total precipitation in four tropical monsoon regions; lead times reach 4 months for SEA, CI, and HI, and 10 months for EAR.
This theme connects mechanism discovery with seasonal prediction: identifying how land processes, circulation, and teleconnections organize extremes, and exploring how those precursor signals can support operationally useful prediction.