Early Warning for Natural Hazards

Early warning systems can predict the distribution and magnitude of natural disasters, detect the onset of such events, can deploy workflows for the distribution of alert messages and, finally, inform catastrophe response.

The number and intensity of natural catastrophes have been increasing on a global scale, and so has the vulnerability of societies due to population growth and infrastructure development. Furthermore, an increase in interconnectedness on a social and economic level motivates continuous improvement of early warning systems.

Early Warning for Natural Hazards thus focuses on the development of novel methods such as continuous and high-resolution monitoring, advanced rapid modelling, and machine learning. The goal is to offer the ensuing research results to stakeholders on the one hand, and to incorporate new findings into the dialogue with policy and decision makers and the general public on the other hand, covering the entire warning chain from the measurement of the hazard to risk analysis to warning communication.