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11 IMSC Session Program<br />

Detection of human influence on extreme precipitation<br />

Thursday - Parallel Session 7<br />

Seung-Ki Min 1 , Xuebin Zhang 1 , Francis W. Zwiers 1 and Gabriele C. Hegerl 2<br />

1 Climate Research Division, Environment Canada, Toronto, Canada<br />

2 School of GeoSciences, University of Edinburgh, Edinburgh, UK<br />

Heavy precipitation events have become more intense over a large part of the<br />

Northern Hemisphere (NH) land area. It has been suggested that human influence<br />

may be partly responsible for the intensification of extreme precipitation in line with<br />

the increased water holding capacity of atmosphere due to global warming. However,<br />

because of the limited availability of daily observations, most previous studies have<br />

examined only the potential detectability of extreme precipitation through modelmodel<br />

comparisons. Here we compare observed and multi-model simulated extreme<br />

precipitation using an optimal fingerprinting method, and provide the first evidence<br />

that human-induced increase in greenhouse gases and sulphate aerosols have<br />

contributed to the observed intensification of heavy precipitation events during the<br />

latter half of the 20th century. The anthropogenic signal is found to be detectable over<br />

large NH land areas. Models, however, under-simulate the observed increase in heavy<br />

precipitation trend, indicating that model projected changes in extreme precipitation<br />

and their impacts may also be underestimated.<br />

Abstracts 256

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