In a new study, RPV researchers focused on providing global and regional perspectives on changing rainfall-driven flood risk under climate change for the early 21st century. Modeling showed a low confidence in numerical projections of changes in flood magnitude or frequency resulting from climate change, and that even without climate change, more people will be flood exposed over time due mainly to increases in population and capital in vulnerable areas.
RPV staff introduced a new method to up-scale dependent loss distributions from natural hazards to higher spatial levels, explicitly incorporating their dependency structure over the aggregation process.
Researchers contributed to the Global Assessment Report on Disaster Risk Reduction coordinated by the UN Office for Disaster Risk Reduction which drew heavily on RPV modeling.
A new multi-authored book on “Integrated Catastrophe Risk Modelling” which not only showed how climate change can be incorporated in probabilistic catastrophe models, but also demonstrated how advanced models can inform participatory stakeholder processes was edited by RPV researchers in 2013 .
IIASA researchers contributed to the Global Assessment Report on Disaster Risk Reduction coordinated by the UN Office for Disaster Risk Reduction. More
 Amendola A, Ermolieva T, Linnerooth-Bayer J, & Mechler R (Eds) (2013). Integrated Catastrophe Risk Modeling: Supporting Policy Processes. Springer.
UN Office for Disaster Risk Reduction.
Last edited: 22 May 2014
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