About
The Intelligent Early Warning System for Climate Extremes (SIPEC/SisMOM), led by the National Institute for Space Research (INPE, Brazil), integrates satellite and in-situ sensor data to support early prediction of climate extremes using numerical models and machine learning techniques. To enable distributed access to large and heterogeneous datasets produced by multiple institutions, INPE is implementing a data federation based on the EOS ecosystem.
Over the last six months, the project has entered an implementation and validation phase, supported by a joint team of developers and operators from CERN Storage Group and two professionals from INPE. This work included the deployment of the software and network infrastructure needed by EOS core services, and configuration of authentication and authorization mechanisms enabling fine-grained access control across federated sites.
These results will demonstrate the feasibility of a secure and scalable EOS-based data federation for climate research and highlight the value of close collaboration with CERN Storage Group in data-intensive scientific environments to become operational in the current year.
The talk
Credits and licence
- Institution
- CERN
- Taught by
- Jorge Luis Gomes, Wanderley Oliveira Mendes
- Year
- 2026
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed