Paulo Vítor de Albuquerque Mendes

Mr. Paulo Vítor de Albuquerque Mendes


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 February 2026 in Atmosphere
Verified
Journal Article
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KBKatyelle Ferreira da Silva Bezerra
Katyelle Ferreira da Silva Bezerra
Flavio Tiago CoutoFlavio Tiago Couto
Flavio Tiago Couto
Helber Barros GomesHelber Barros Gomes
Helber Barros Gomes
JNJanaína Nascimento
Janaína Nascimento
PMPaulo Vítor de Albuquerque Mendes
Paulo Vítor de Albuquerque Mendes
Fabricio Daniel dos Santos SilvaFabricio Daniel dos Santos Silva
Fabricio Daniel dos Santos Silva
This study examines two wildfire events in the southern Amazon in August 2021, addressing the challenges in investigating the development of pyro-convective clouds in tropical regions. The analysis combines the Normalized Difference Vegetation Index, Fire Radiative Power derived from the Suomi-NPP and NOAA-20 satellites, and meteorological conditions from thermodynamic profiles and atmospheric modeling. The Meso-NH model was applied exploratorily with two simulations that allow convection, at a 2.5 km resolution. In the first case, a pyro-convective cloud (PyroCu) formed directly from active fires. In the second, a deep convective cloud developed over dispersed fire hotspots, exhibiting characteristics compatible with pyro-convective activity, although uncertainties remain regarding its classification as a true PyroCb. The results indicate that background thermodynamic instability primarily controls vertical plume development, modulating the influence of fire intensity. Incorporating high-resolution thermodynamic profiles into coupled atmospheric and chemical dispersion models can improve estimates of smoke injection height, complementing information on fire power. The results provide a basis for future developments related to understanding tropical pyro-convective clouds, showing how smoke dispersion may occur in the tropical region depending on the vertical structure of the atmosphere and fire intensity.

2 March 2026 in Fire
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Journal Article
Open access
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Flavio Tiago CoutoFlavio Tiago Couto
Flavio Tiago Couto
CCCátia Campos
Cátia Campos
Federico Javier Beron de la PuenteFederico Javier Beron de la Puente
Federico Javier Beron de la Puente
PMPaulo Vítor de Albuquerque Mendes
Paulo Vítor de Albuquerque Mendes
HAHugo Nunes Andrade
Hugo Nunes Andrade
Rui SalgadoRui Salgado
Rui Salgado
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.