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From 21 March 2016 to 22 March 2016

Climate scenarios downscaling methods

nasri |  

Announced
Deadline for registration: 15 days before the starting date of each training
Duration : 1 day / (7 hours)

Abstract

There is a strong need in high resolution climate scenarios in France. Given that global climate models produce data at horizontal resolutions ranging from 100 to 200 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 dynamical or statistical methodologies. One such method has been developed at CERFACS, the open-source software DSCLIM, a methodology that uses large-scale circulation information from global climate models, and links it to local-scale climate variables using a weather-typing based statistical model. Also, within the FP7 European project SPECS, an open-source R-based downscaling package is being developed.

This training course aims to provide scientific and technical knowledge about downscaling methodologies, with hands-on training on DSCLIM output analysis.

Target participants

End-users of climate downscaled data as well as more advanced users who will modify the methodology code and/or configuration.

Prerequisites

Basic statistics and climatology. Linux/Unix

Scientific contact : Christian PAGE

Fee

  • Trainees/PhDs/PostDocs : 50 €
  • CERFACS shareholders/CNRS/INRIA : 150 €
  • Public : 300 €

Program

(1st day from 14h00 to 17h30, second day from 9h00 to 12h30)

Day 1

  • The goals of the first day are to explain the scientific basis of downscaling methodologies, as well as information about statistical downscaling open-source software packages.

Day 2

  • The second day is devoted to practical application regarding the analysis of DSCLIM downscaled climate scenarios, including the use of appropriate tools to perform data processing and analysis.

 

Pre-registration

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