The platform will be open source and publicly available and the results of the project will be disseminated in various directions: 

  • At the national level, a first exploitation of the project will be used to perform the climate simulations of the next CMIP phase, which results are widely use, worldwide. Due to the high importance of CMIP, the tools used within this projects generally disseminate widely in the climate science community. The variety of model implementations and the final meeting of the project will illustrate the main behaviour of the platform and will facilitate direct contact with new users.
  • Our strong involvement in the IS-ENES project will allow us to promote the platform at the European level, and some tools are already shared: OASIS is already used by 6 of the 7 groups developing ESMs in Europe and XIOS is now officially adopted by the NEMO consortium.

CONVERGENCE will give us the opportunity to reduce the delay between simulations, distribution and analysis of high quality and well documented and referenced data to a wide variety of users. Research collaborators and partners will benefit from a better access to climate data. This has the potential to give a strong competitive advantage to the national research teams. Private companies making use of our data like insurance companies, energy suppliers or companies working on climate change impacts will as well benefit from a better access to highly traceable climate data and will thus be keen to further exploit partners data. IPSL, GAME and CERFACS are already strongly involved in the emergence of climate services that are primary based on the results of our simulations. For instance, the Labex L-IPSL has a dedicated dissemination program.

Actions for education

Dedicated actions for education will be undertaken within the project. The importance taken by numerical modelling in climate sciences has not been fully translated so far in terms of education and training, although it is more and more a concern of people in charge of training at graduate level. IPSL is in charge of an initiation to climate modelling in the UPMC M2 (the year prior to PhD) training course in climate sciences (OACOS). The course (30 hours) includes "mini projects" in which students work directly with light versions of the numerical models used in the research. A first effort has been made on the IPSL climate model to derive light and user friendly versions, which can be run for some realistic test cases on standard desktop computers. The present project gives an opportunity to reinforce the offer in light configurations for "mini-project" for M2 training courses as well as for 1 to 2 months training which are usually proposed at level L3 and M1. Within the project, we also plan to reinforce the training for doctoral courses, typically in the frame of 1 to 2-week schools. Training on the IPSL tools is already proposed regularly, with in particular tutorial on how to install and run the various components or the model as a whole. The LMDZ training course already contains more specific courses on numerics and "physical parametrization". It is proposed here to complement those courses with more expert courses, both in terms of physics content of the models and in terms of numerics, HPC aspects, good practice for programming etc. Those courses, proposed by experts of HPC and applied mathematics from IDRIS and MLDS would be based on the codes existing at IPSL, which should help creating a mutual understanding between the various community.

The people in charge of the relevant training programmes at ED-129, UPMC, and KIC Climat support those initiatives and are already in the loop of the discussion: H. Le Treut (ED129), L. Picon (ED129 and M2 OACAOS), V. Zeitlin (M2 OACOS), F. Codron and J. Lefrère (M1), H. Chepfer (KIC Climat)