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11 IMSC Session Program<br />

Changes in the annual largest daily rainfall totals<br />

Friday - Poster Session 7<br />

Mari Jones, C. G. Kilsby, H. J Fowler, S. Blenkinsop<br />

School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon<br />

Tyne, UK<br />

Many studies have considered severe rainfall in terms of metrics expressing extremity<br />

such as peaks over threshold, or quantiles of the observations, to maximise the data<br />

available. However, the selection of a base period for these thresholds can have a<br />

significant impact on the perceived trends. On the other hand, partial duration series<br />

can limit the scope of any investigation by removing key information, and completely<br />

ignore “drier” years.<br />

A common method used in sea surge and, occasionally, wind storm analysis is that of<br />

the “r-largest” events per year. We find this to be a statistically unbiased measure<br />

which does not unduly reduce the available data, and which has not yet been explored<br />

in great depth for extreme rainfall. The distribution of “r-largest” daily rainfall<br />

accumulations in each year offers a unique representation of how extreme<br />

precipitation patterns are changing, while also accounting for changes in “dry” years.<br />

We establish the optimum number of events to include so that more regular rainfall<br />

does not skew the data. After ranking the observations, we fit a multivariate EVD to<br />

the top r events. From the event date, it is possible to approximate the seasonality and,<br />

hence, likely controlling influences.<br />

Abstracts 311

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