weather@home 2: validation of an improved global-regional climate
Benoit P. Guillod1, Andy Bowery2, Karsten Haustein1, Richard G. Jones1,3, Neil R. Massey1, Daniel M. Mitchell1, Friederike E. L. Otto1, Sarah N. Sparrow2, Peter Uhe1,2, David C. H. Wallom2, Simon Wilson3, and Myles R. Allen11Environmental Change Institute, University of Oxford, Oxford, United Kingdom 2Oxford e-Research Centre, University of Oxford, Oxford, United Kingdom 3Met Office Hadley Centre, Exeter, United Kingdom
Received: 14 Sep 2016 – Accepted for review: 11 Oct 2016 – Discussion started: 12 Oct 2016
Abstract. Extreme weather events can have large impacts on society and, in many regions, are expected to change in frequency and intensity with climate change. Owing to the relatively short observational record, climate models are useful tools as they allow for generation of a larger sample of extreme events, to attribute recent events to anthropogenic climate change, and to project changes of such events into the future. The modelling system known as weather@home, consisting of a global climate model (GCM) with a nested regional climate model (RCM) and driven by sea surface temperatures, allows to generate very large ensemble with the help of volunteer distributed computing. This is a key tool to understanding many aspects of extreme events. Here, a new version of weather@home system (weather@home 2) with a higher resolution RCM over Europe is documented and a broad validation of the climate is performed. The new model includes a more recent land-surface scheme in both GCM and RCM, where subgrid scale land surface heterogeneity is newly represented using tiles, and an increase in RCM resolution from 50 km to 25 km. The GCM performs similarly to the previous version, with some improvements in the representation of mean climate. The European RCM biases are overall reduced, in particular the warm and dry bias over eastern Europe, but large biases remain. The model is shown to represent main classes of regional extreme events reasonably well and shows a good sensitivity to its drivers. In particular, given the improvements in this version of the weather@home system, it is likely that more reliable statements can be made with regards to impact statements, especially at more localized scales.
Guillod, B. P., Bowery, A., Haustein, K., Jones, R. G., Massey, N. R., Mitchell, D. M., Otto, F. E. L., Sparrow, S. N., Uhe, P., Wallom, D. C. H., Wilson, S., and Allen, M. R.: weather@home 2: validation of an improved global-regional climate
modelling system, Geosci. Model Dev. Discuss., doi:10.5194/gmd-2016-239, in review, 2016.