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Studies of how climate change is impacting extreme weather events are becoming increasingly important. One experimental method is to study severe weather in ensembles of numerical climate model simulations. Ideally, this would be done using large ensembles of high-resolution model runs. However, due computational resource constraints, such studies have either used coarse-resolution models or limited ensemble sizes. Reducing models' grid spacing below about 100km has been shown to substantially improve the representation of important extratropical synoptic-scale features such as blocks and storms and will allow details of extreme events to be simulated at finer scales. We will present an evaluation of a 60km-resolution version of the HadAM4 model to be used in the climateprediction. net project, which will use distributed computing to allow multi-thousand member ensembles to be run to perform …