Climate Tipping Point Modeller

Summary

Develop and apply reduced-complexity nonlinear dynamical systems and statistical methods to detect and forecast climate tipping points, incorporating noise and calibrating models against observations and full Earth System Models. Design blind tests, quantify uncertainty, evaluate predictive skill with Earth Observation datasets, and contribute results, datasets, and funding proposals to advance robust early-warning systems for critical Earth-system transitions.