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Jorge Pérez‐Aracil

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CV1
  • physics.ao-ph1

identity via Semantic Scholar / OpenAlex

most citedSpain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information

4 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

physics.ao-ph2024

Identifying Key Drivers of Heatwaves: A Novel Spatio-Temporal Framework for Extreme Event Detection

J. Pérez-Aracil, C. Peláez-Rodríguez, Ronan McAdam +17

Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex in…

cs.AI2024★ 3 cited

AI for Extreme Event Modeling and Understanding: Methodologies and Challenges

Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs +22

In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter…

cs.CV2023★ 4 cited

Spain on Fire: A novel wildfire risk assessment model based on image satellite processing and atmospheric information

Helena Liz-López, Javier Huertas-Tato, Jorge Pérez-Aracil +3

Each year, wildfires destroy larger areas of Spain, threatening numerous ecosystems. Humans cause 90% of them (negligence or provoked) and the behaviour of individuals is unpredict…

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