EGU23-8280
https://doi.org/10.5194/egusphere-egu23-8280
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

An extended stochastic and probabilistic hazard event set for Europe for use in multi-hazard studies

Andreas Schaefer1,2, James Daniell1,2, Judith Claassen3, Marleen de Ruiter3, and Johannes Brand1,2
Andreas Schaefer et al.
  • 1Risklayer GmbH, Karlsruhe, Germany
  • 2Center for Disaster Management and Risk Reduction Technology, Karlsruhe Institute of Technology, Karlsruhe, Germany
  • 3Vrije Universiteit, Amsterdam, Netherlands

There are a number of European level datasets which have been produced over the last decade for natural perils to provide stochastic and probabilistic results at sites, or across the whole of Europe. As part of the MYRIAD-EU project, a key review of historical individual and multiple peril datasets has been made in order to create a compendium of useable results for regional level analysis in MYRIAD.

It uses datasets from SERA-EU, SHARE and ECA for earthquake, RAIN and PRIMAVERA for weather-related disasters such as storms, tornadoes and other events, historical volcanic eruption data from LAMEVE and VOGRIPA, hydrological data and past flood events from databases such as the work of DFO, MODIS, datasets from VU Amsterdam and other research institutions, and bushfire data from EFFIS and other local databases as well as heat wave and cold wave data from multiple datasets.

Where possible, stochastic event sets have been created in order to allow for concurrent and coinciding events to be identified. In many cases, stochastic event sets have not yet been able to be implemented and should be considered as a first step towards a fully event based process. As part of the scenario studies within MYRIAD-EU, probabilistic results will be turned into specific events in order to examine the risk and feedback loops associated with the different event combinations.

This effort has been placed on the MYRIAD-EU Zenodo, and provides the basis for studies into risk in terms of concurrent disasters.

How to cite: Schaefer, A., Daniell, J., Claassen, J., de Ruiter, M., and Brand, J.: An extended stochastic and probabilistic hazard event set for Europe for use in multi-hazard studies, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-8280, https://doi.org/10.5194/egusphere-egu23-8280, 2023.