BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CERN//INDICO//EN
BEGIN:VEVENT
SUMMARY:® Investigating machine learning techniques for  precipitation fo
 recast in Brazil
DTSTART;VALUE=DATE-TIME:20231206T093000Z
DTEND;VALUE=DATE-TIME:20231206T094500Z
DTSTAMP;VALUE=DATE-TIME:20260310T193444Z
UID:indico-contribution-2008@events.chpc.ac.za
DESCRIPTION:Speakers: Fabio Porto ()\nExtreme events of rainfall in Brazil
  are observing significant increase in the frequency and in the strength o
 f their occurrence. Recent events in the southeast part of the country led
  to casualties\, property damage\, and huge impact in the cities and their
  urban lives. Governments are installing alarms in endangered parts of the
  towns\, preparing evacuation instructions and event deallocating people t
 rying to avoid human loss in the next known-come large event. \nIn other t
 o support these initiatives\, we are developing different projects aiming 
 at constructing predictive models to forecast the occurrence of strong rai
 nfall. The Rionowcast project is being carried on in a collaboration betwe
 en academic institutions in the Rio de Janeiro state and the Operation Cen
 ter of Rio de Janeiro (COR). The idea is to build AI spatio-temporal model
 s using a variety of data sources providing historical and real-time infor
 mation about the weather conditions in Rio de Janeiro. Data sources includ
 e: rain gauges\, weather stations\, radio-sonda\; ocean buoys\; satellite 
 products\, radar products and numerical models. We are trying with differe
 nt DL model architectures from transformers to GNN\; from global to local 
 models and ensembles\; and physical informed networks. \nIn order to foste
 r the collaboration among the different research groups\, we are using the
  Gypscie framework that supports data and model management and dataflow ex
 ecution.\nDuring the Digital Earth Session of the CHPC National Conference
 \, we intend to briefly present theses initiatives\n\nhttps://events.chpc.
 ac.za/event/125/contributions/2008/
LOCATION:Skukuza 1-1-2 - Ndau
URL:https://events.chpc.ac.za/event/125/contributions/2008/
END:VEVENT
END:VCALENDAR