ESPRI engineers ensure the harmonization of the development of this mutualized and multi-site data analysis platform and work in close relationship with scientific teams, allowing them to understand and efficiently take into account their requirements. They identify and implement new technologies on prototypes and select the best operational solutions to be deployed.

The ESPRI staff is organised into three teams:

  • ESPRI-Infra, in charge of the infrastructure itself (workstations, servers, disks, network, and software) and user support,
  • ESPRI-Obs, which offers expertise and services around observation data,
  • ESPRI-Mod, which offers expertise and services around modelling data.


The governance of ESPRI is organised at different levels:

  • An executive board, composed of the leaders of ESPRI teams, meets monthly to coordinate the ESPRI roadmap, resources and to monitor transverse actions.
  • A technical committee, composed of all ESPRI engineers, quarterly meets to share expertise, best practices, methodologies, tools and to create synergies.
  • A steering committee, in which the centres, the IPSL management and the institutional partners are represented, meets once a year. This committee is also composed of key users.


Several thematic working groups (WG) have been created to design and focus on three major axes for the ESPRI roadmap:

Axis 1: Enhancing the value of environnemental data produced by IPSL and its partners

  • Theme 1.1: Certification of data warehouses and DOI service (Data Object Identifier)
  • Theme 1.2: Improving IPSL data catalogs
  • Theme 1.3: Website

Axis 2: Mobilising new technologies and training users

  • Theme 2.1: Building relevant Virtual Research Environments (VRE)
  • Theme 2.2: Automate processing chains
  • Theme 2.3: Monitoring and metrics

Axis 3: Broadening the fields of expertise in data management

  • Theme 3.1: Developing Geographic Information Systems (GIS) standards at IPSL
  • Theme 3.2: Coordinating infrastructures and services around artificial intelligence IPSL initiatives though ESPRI-IA services
  • Theme 3.3: Collecting and coordinating the production of new energy data sets through the E4C DataHub