Learn · CERN

Talk17 min

Planning an EOS Data Federation to deal with Climate Change using AI

Wanderley Mendes and Paulo Nobre · CERN

Watch At CERN

About

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..

0:00:00 Slide 1

0:01:05 Slide 2

0:04:23 Slide 3

0:05:50 Slide 4

0:07:27 Slide 5

0:10:00 Slide 6

0:11:17 Slide 7

0:14:38 Slide 8

The talk

  1. Planning an EOS Data Federation to deal with Climate Change using AI 2025-03-25 · 17 min · CERN's player

Credits and licence

Institution
CERN
Department
HEP Computing
Taught by
Wanderley Mendes, Paulo Nobre
Year
2025
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