Downscaling climate scenarios with the weather-typing based methodology DSCLIM
There is a strong need in high resolution climate scenarios in France. Given that global climate models produce data at horizontal resolutions ranging from 150 to 250 km, their data output is not suitable for direct use in climate change impact studies at the regional and local scales. Hence, methodologies have been developed to downscale the output of large-scale climate models, such as the open-source software DSCLIM (CERFACS). This methodology uses large-scale circulation information from global climate models, and links it to local-scale climate variables using a weather-typing based statistical model.
This training course aims to provide scientific and technical knowledge about the DSCLIM weather-typing downscaling methodology.
| Target participants:
End-users of climate downscaled data as well as more advanced users who will modify the methodology configuration. Prerequisites: Basic statistics and climatology. Scientific contact: Christian PAGE Fee: - Public staff: 600 € - CERFACS shareholders staff/CNRS/INRIA: 300 € - Students: 100 € |
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| Program |
| (Everyday from 9h30 to 17h) |
| Day 1 |
| • The goals of the first day are to explain the scientific basis of the methodology, its implementation and main algorithm, and also to detail on how to use the output of DSCLIM. More technical goals are to explain more precisely how to configure and run DSCLIM. |
| Day 2 |
| • The second day of the training is devoted to an example of a practical application of DSCLIM downscaled climate scenarios, where a simple hydrological model will be setup to run using DSCLIM output. |
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