Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
doi:10.5194/gmd-2016-239
© Author(s) 2016. This work is distributed
under the Creative Commons Attribution 3.0 License.
Model evaluation paper
12 Oct 2016
Review status
A revision of this discussion paper is under review for the journal Geoscientific Model Development (GMD).
weather@home 2: validation of an improved global-regional climate modelling system
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. Allen1 1Environmental 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
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.

Citation: 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.
Benoit P. Guillod et al.
Benoit P. Guillod et al.
Benoit P. Guillod et al.

Viewed

Total article views: 350 (including HTML, PDF, and XML)

HTML PDF XML Total Supplement BibTeX EndNote
246 87 17 350 17 8 17

Views and downloads (calculated since 12 Oct 2016)

Cumulative views and downloads (calculated since 12 Oct 2016)

Viewed (geographical distribution)

Total article views: 350 (including HTML, PDF, and XML)

Thereof 349 with geography defined and 1 with unknown origin.

Country # Views %
  • 1

Saved

Discussed

Latest update: 29 Mar 2017
Publications Copernicus
Download
Short summary
The weather@home climate modelling system uses the computing power of volunteers around the world to generate a very large number of climate model simulations. This is particularly useful when investigating extreme weather events, notably for the attribution of these events to anthropogenic climate change. A new version of weather@home is presented and evaluated, which includes an improved representation of the land surface and increased horizontal resolution over Europe.
The weather@home climate modelling system uses the computing power of volunteers around the...
Share