Preprints
https://doi.org/10.5194/gmd-2019-191
https://doi.org/10.5194/gmd-2019-191

Submitted as: review and perspective paper 03 Sep 2019

Submitted as: review and perspective paper | 03 Sep 2019

Review status: a revised version of this preprint was accepted for the journal GMD and is expected to appear here in due course.

Current status on the need for improved accessibility to climate change models

Juan Antonio Añel1, Michael García-Rodríguez1,2, and Javier Rodeiro2 Juan Antonio Añel et al.
  • 1EPhysLab, Ed. Campus da Auga, Campus As Lagoas, 32004, Ourense, Galicia, Spain
  • 2School of Computer Sciences, Campus As Lagoas, 32004, Ourense, Galicia, Spain

Abstract. Over the last years, we have seen growing concerns on the need to publish computer code as an integral part of the research process. This has been reflected on improved publishing policies by scientific journals, addressing the relevant issues such as repositories or licensing. Here we explore the state-of-the-art of code availability and sharing for climate models, using as testbed the models from the Climate Model Intercomparison Project 5 and make some reflections on it. Our results show that there are great limitations in the access to the code of these climate models and that the climate modelling community needs to greatly improve their code sharing practices in order to comply with the best scientific practices and the most up to date editorial publishing policies.

Juan Antonio Añel et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement
 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Juan Antonio Añel et al.

Juan Antonio Añel et al.

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Short summary
This work shows that it continues to be hard, if not impossible, to obtain some of the most used climate models worldwide. We reach this conclusion through a systematic study and encourage all the development teams and research centres to make public the models that they use to produce scientific results.