| Global and continental scale risk assessment for natural hazards: data, methods, and practice
NH9
Global and continental scale risk assessment for natural hazards: data, methods, and practice
Co-organized by GS6/HS13
Convener: Dirk EilanderECSECS | Co-conveners: Philip Ward, James Daniell, Carmen B. SteinmannECSECS, Leanne ArcherECSECS

The purpose of this session is to:
(1) showcase the current state-of-the-art in global and continental scale natural hazard risk science, assessment, application and uptake in decision-making;
(2) foster broader exchange of knowledge, datasets, methods, models, and good practice between scientists and practitioners working on different natural hazards and across disciplines globally; and
(3) collaboratively identify future research avenues.

Reducing natural hazard risk is high on the global political agenda. For example, it is at the heart of the Sendai Framework for Disaster Risk Reduction and the Paris Agreement. In response, the last decade has seen an explosion in the number of scientific datasets, methods, and models for assessing risk at the global and continental scale. Increasingly, these datasets, methods and models are being applied in collaboration with stakeholders during the decision-making process. Understanding how risk information is translated into decisions and actions is becoming increasingly important. This includes the co-production of knowledge with stakeholders, communication of uncertainty, governance of transboundary risks, and the role of risk assessments in supporting policy development, adaptation planning, and disaster risk reduction strategies

We invite contributions related to all aspects of natural hazard risk assessment at the continental to global scale, with particular emphasis on how risk information is generated, communicated, and used to support decision-making across sectors, scales, and borders. Topics include:
• single hazards, multi- or compound hazards;
• all facets of risk, including hazard, exposure and vulnerability;
• risk mitigation under current and future conditions (climate & socio-economic);
• the use of risk information in decision-making, policy development, adaptation planning, and disaster risk reduction;
• novel globally-applicable approaches for leveraging global datasets and models to inform local risk assessment and decision-making.