The Centre for Early Warning Systems (Section 7.1 of the GFZ) is headed by Prof. Dr. Stefano Parolai. The aim of the Centre for Early Warning Systems is to develop and implement methodologies for early warning of various natural hazards (earthquakes, tsunami, volcanic eruptions, floods, landslides). Of particular interest is the feasibility of alarm systems that accommodate multi-risk aspects of natural disasters. With regard to this, the focus of the centre's research is also to involve the assessment of the vulnerability of exposed assets through advanced methods, mainly based on remote sensing, and the possibility of computing reliable real-time single- and multi-type risk scenarios that can be provided to end users to help in the various decision making processes, in the field of disaster prevention and for disaster management. Further activities are the development of concepts for ad-hoc instrumentation to support the tasks carried out by the centre and the development of advanced tools for guiding decision making and post disaster actions. The Centre for Early Warning Systems benefits from the close cooperation of scientists of different GFZ sections, therefore satisfying the necessary request of inter-disciplinary implicit in its aims. The centre in particular aims at creating and coordinating interdisciplinary cross-sectional projects. Currently, the focus of our activities is Central Asia, the Indian Ocean, the Eastern Mediterranean and Mid-Europe region although we are investigating the possibility of employing our expertise in other regions (e.g. Chile).
This webpage provides several webservices related to different activities of the centre:
For registered users this provides access to data collected from the ACROSS strong motion network in Central Asia
A tool for registered users to perform a remote rapid visual screening of buildings using panoramic images.
A tool for registered users to perform a remote rapid damage assessment of buildings using panoramic images.
A demoversion of the near-realtime impact assessment tool CARAVAN.