24–26 Mar 2025
CERN
Europe/Zurich timezone
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Planning an EOS Data Federation to deal with Climate Change using AI

25 Mar 2025, 15:05
20m
40/S2-D01 - Salle Dirac (CERN)

40/S2-D01 - Salle Dirac

CERN

115
Show room on map

Speakers

Dr Paulo Nobre (INPE) Wanderley Mendes (INPE)

Description

The National Institute for Space Research - INPE (Brazil) is leading a research program: Intelligent Early Warning System for Climate Extremes - SIPEC. The project aims at predicting the likelihood of climate extremes, months in advance using a diverse source of data coming from satellites and an array of intelligent sensors spread across the country. Such data streams will feed both classical meteorological models and AI machine learning algorithms for the ultimate early warning of climate extremes.

Given the number of institutions producing large amounts of data needed to train the ML algorithms by scientists dealing with different parts of the problem, at different places, we are implementing an EOS Data Federation in Brazil. The implementation of the EOS family of tools, in addition to being capable to deal with large volumes of distributed data, also takes care of security controls for who has access to what portions of the datasets.

Author

Co-author

Dr Paulo Nobre (INPE)

Presentation materials