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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Volume 10, issue 5
Geosci. Model Dev., 10, 1849-1872, 2017
https://doi.org/10.5194/gmd-10-1849-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Geosci. Model Dev., 10, 1849-1872, 2017
https://doi.org/10.5194/gmd-10-1849-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Model evaluation paper 05 May 2017

Model evaluation paper | 05 May 2017

weather@home 2: validation of an improved global–regional climate modelling system

Benoit P. Guillod1, Richard G. Jones1,2, Andy Bowery3, Karsten Haustein1, Neil R. Massey1, Daniel M. Mitchell4, Friederike E. L. Otto1, Sarah N. Sparrow3, Peter Uhe1,3, David C. H. Wallom3, Simon Wilson2, and Myles R. Allen1 Benoit P. Guillod et al.
  • 1Environmental Change Institute, University of Oxford, Oxford, UK
  • 2Met Office Hadley Centre, Exeter, UK
  • 3Oxford e-Research Centre, University of Oxford, Oxford, UK
  • 4School of Geographical Science, University of Bristol, Bristol, UK

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 in 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 one to generate a 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 the 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 to 25km. The GCM performs similarly to the previous version, with some improvements in the representation of mean climate. The European RCM temperature biases are overall reduced, in particular the warm bias over eastern Europe, but large biases remain. Precipitation is improved over the Alps in summer, with mixed changes in other regions and seasons. The model is shown to represent the 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.

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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...
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