Can we trust the warning signs of an approaching tipping point?
Scientists are increasingly using resilience indicators to look for early warning signals of critical change in the Earth system. But those signals are only as reliable as the data behind them.
Satellite products can tell different stories. Observations may be noisy, seasonal or incomplete. Missing values and outliers can distort the very indicators researchers use to detect declining resilience.
In this webinar, researchers will explore what happens when real-world data meet tipping point science. From monitoring the resilience of tropical forests from space to understanding how gaps, noise and irregular observations affect critical slowing down signals, the talks will examine how data choices can shape what we think we know about approaching change.
Join AIMES, the Earth Commission, Future Earth, and the WCRP’s Safe Landing Climates Lighthouse Activity for a discussion on how to separate meaningful warning signals from misleading ones, and what more reliable approaches could mean for detecting tipping points before they are crossed.
Agenda
- Lana Blaschke (Technical University of Munich): The agony of choice: data and metrics to reliably monitor tropical forest resilience
- Taylor Smith, (University of Potsdam): Moving Targets: Dealing with Irregular, Seasonal, and Noisy Data
- Teng Liu, (Technical University of Munich): When resilience indicators disagree: How data gaps and outliers distort Critical-Slowing-Down signals
- Followed by a moderated discussion with Joshua Buxton (Exeter University)
A recording of the webinar will be available afterwards.