Selecting CMIP5 GCMs for downscaling over multiple regions
Met Office · University of Oxford · +1 more institution
Abstract
The unprecedented availability of 6-hourly data from a multi-model GCM ensemble in the CMIP5 data archive presents the new opportunity to dynamically downscale multiple GCMs to develop high-resolution climate projections relevant to detailed assessment of climate vulnerability and climate change impacts. This enables the development of high resolution projections derived from the same set of models that are used to characterise the range of future climate changes at the global and large-scale, and as assessed in the IPCC AR5. However, the technical and human resource required to dynamically-downscale the full CMIP5 ensemble are significant and not necessary if the aim is to develop scenarios covering a…
Citation impact
- FWCI
- 9.51
- Percentile
- 100%
- References
- 29
Authors
4Topics & keywords
- Downscaling
- Climatology
- Environmental science
- Climate model
- Climate change
- Precipitation
- GCM transcription factors
- Vulnerability (computing)