SDSM is a software tool allowing for the creation of high-resolution climate information based on coarser, large scale GCM estimates. The model operates via statistical downscaling methods, and can create ensembles of daily weather scenarios. SDSM also functions as a weather generator; using statistical techniques to generate realistic daily sequences of weather, i.e. precipitation, temperature, etc.
This toolbox entry has been labelled with the following tags:
| Sector: | climate | |
| Spatial scale: | independent | |
| Temporal focus: | present; future | |
| Onset: | slow | |
| Role in decision process: | diagnostic | |
| Level of skills required: | modest | |
| Data requirements: | high | |
| Adaptation tasks: | Detection and attribution |
SDSM may be used for impact and adaptation assessments requiring local or small-scale climate data with finer resolutions than GCMs.
SDSM requires GCM outputs to downscale, as well as observed climate data used to calibrate and validate the tool. It runs on Windows PCs, and is freely available at: https://copublic.lboro.ac.uk/cocwd/SDSM/
Please see https://co-public.lboro.ac.uk/cocwd/SDSM/refs.html for a full list of SDSM references.
