Datlas was created in October 2021 by 5 co-founders based in Grenoble and Aix-les-Bains, with the ambition to develop Research & Innovation opportunities at the interface between academic/institutionnal research and operational stakeolders (such as the national and european spatial agencies or the european marine & climate services) in the domains of Earth & Environnmental sciences.
In Datlas, we gather a team of experts in numerical methods and numerical models applied to Earth data, ranging from observations to model simulations. Our on-going activities are related to spatial observations, modelling and forecasting of the ocean (ocean height, ocean currents, ocean physical properties such as salinity and temperature) and of sea ice:
- We are involved in activities to design future observationnal missions, which builds on high-quality and hight-resolution simulations of the ocean, in order to anticipate the future observation data and to develop innovative numerical methods and models to get ready to process and exploit these future data when they arrive.
- We are also involved in activities to develop and improve numerical models of the ocean and sea ice in order to better understand existing observations and the physical processes at play, and to better forecast the physical properties that matters for operational stakeolders and end users.
Building on the various science backgrounds and technical skills in the team, we aim to play a role at the interface between the different aspects of doing science with Earth data. We believe that observation- and model-related developments and improvments happen together, beneficiting from interactions and feedbacks in both ways. Models are part of the process of designing and exploiting observational data, and observational data stimulate in many way the developments of the models themseves. Furthermore, both model and observational communities nowadays face the same challenges as how to deal with increasing amounts of data to process, exploit and share. In Datlas, we share an integrated vision of these different aspects and we can team up to address them together.
The products and services we provide are:
- our scientific and technical expertise,
- prototypes of innovative algorithms and softwares,
- data products such as simulation outputs, pseudo-observation datasets, forcing datasets, pre-operational forecast products,
- data challenge frameworks (to set up and coordinate an intercomparison of algorithms applied to a well-posed science problem and a demonstration dataset),
- science communication (academic articles, visualisation, project websites, etc).
