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11 IMSC Session Program<br />

European extra-tropical storm damage risk from a highresolution<br />

multi-model ensemble of dynamically downscaled<br />

global climate models<br />

Thursday - Parallel Session 7<br />

Malcolm R. Haylock<br />

PartnerRe Reinsurance Company, Zurich, Switzerland<br />

A set of European wind storms was derived from twenty-two 25km regional climate<br />

model runs driven by either the ERA40 reanalyses or one of four coupled atmosphereocean<br />

global climate models. Storms were identified using a model-dependent storm<br />

severity index based on maximum daily 10m sustained wind. We calibrated the storm<br />

set of each model to a set of high resolution 7km historical storm windfields using the<br />

70 storms with the highest severity index in the period 1961-2000, employing a two<br />

stage calibration methodology. First we downscaled the 25km daily maximum<br />

sustained to our 7km historical model grid using the 7km surface roughness and<br />

elevation, also applying an empirical gust parameterisation. Secondly we statistically<br />

calibrated wind speeds to our historical storms to match the geographically-dependent<br />

cumulative density distribution.<br />

The greatest downscaling challenges were to produce a storm set from each 25km<br />

model that showed similar statistical properties to the historical sets, in particular<br />

similar intensity attenuation across the set, and to combine the 22 individual models<br />

into a single homogenous millennium-scale storm set.<br />

The <strong>final</strong> combined historical-regional model event set of storms was run through an<br />

operational catastrophe reinsurance pricing model to determine the return level of loss<br />

to a Europe-wide population derived portfolio of residential property. The model<br />

showed close agreement between the combined storm set and the historical storm set<br />

with the added benefit of more detail at higher return periods.<br />

Abstracts 253

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