Numerical Investigation of Surface–Atmosphere Interaction and Fire Danger in Northern Portugal: Insights into the Wildfires on July 29, 2025
; de Albuquerque Mendes, Paulo Vítor ; Andrade, Hugo Nunes ; Ferreira da Silva Bezerra, Katyelle ; Andrade, Nuno ; Lemos Maia Santos, Filippe ; Revollo Sarmiento, Natalia Veronica
; Nunes, André Becker ; Salgado, Rui Otros responsables
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03/2026
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Multidisciplinary Digital Publishing Institute
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Fire
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2571-6255
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The 2025 fire season in Portugal was marked by large fires, underscoring the vulnerability of the forested areas to fire. The study analyzes the main meteorological conditions during a critical period of fire activity and addresses the following question: Why can the northeast (NE) weather pattern be so critical for fire danger in Portugal? Fire severity in the Arouca wildfire, the largest fire of the period, was estimated using a methodology that integrates foundation vision models with computer vision algorithms. ECMWF analyses and convection-permitting Meso-NH simulations are used to examine large-scale circulation and the mesoscale environment, respectively. Synoptic-scale analysis revealed the Azores anticyclone centered slightly northwest of the Iberian Peninsula (IP), with its eastern sector directly affecting the northern IP under north/northeast winds. The hectometric-scale simulation demonstrated that orographically enhanced wind gusts over the northern Portuguese mountains substantially intensified near-surface fire-weather conditions when the winds were nearly easterly. Furthermore, strong low-level winds and atmospheric stability constrained vertical plume growth, favoring horizontal smoke transport. In addition, the study highlights that Arouca’s fire had 88% of its area affected with moderate to high severity. Overall, the results demonstrate that the interaction between large-scale NE circulation and local orography plays a decisive role in amplifying fire danger in northern Portugal, emphasizing the need for high-resolution atmospheric modeling to identify fire-prone regions under specific synoptic patterns.
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