61 documents found, page 1 of 7
Moisture Content Vegetation Seasonal Variability Based on a Multiscale Remote S...
Santos, Filippe; Rodrigues, Gonçalo; Potes, Miguel; Couto, Flavio; Costa, Maria João; Dias, Susana; Monteiro, Maria José; Ribeiro, Nuno; Salgado, RuiWater content is one of the most critical characteristics in plant physiological development. Therefore, this information is a crucial factor in determining the water stress conditions of vegetation, which is essential for assessing the wildfire risk and land management decision-making. Remote sensing can be vital for obtaining information over large, limited access areas with global coverage. This is important...
INTERCOMPARAÇÃO DE SIMULAÇÕES NUMÉRICAS COM MODELOS ATMOSFÉRICOS ACOPLADOS A MO...
Couto, Flavio; Salgado, Rui; Filippi, Jean-Baptiste; Baggio, Roberta; Kartsios, Stergios; Cardoso, Rita; Soares, Pedro; Campos, CátiaA propagação do fogo associada à atividade piro-convectiva extrema é atualmente altamente imprevisível e difícil de combater. Este relatório apresenta os principais resultados de simulações realizadas a partir do acoplamento entre modelos de resolução de nuvens e modelos de propagação de fogo, nomeadamente MesoNH/ForeFire, WRF/FIRE e WRF/SFIRE. Os códigos acoplados foram utilizados no estudo dos mega incêndios ...
Modelling the Atmospheric Environment Associated with a Wind-Driven Fire Event ...
Purificação, Carolina; Andrade, Nuno; Potes, Miguel; Salgueiro, Vanda; Couto, Flavio; Salgado, RuiIncreased knowledge of the meteorological conditions that lead to mega-fires is important to prevent wildfires and improve firefighting. This study analyses the atmospheric conditions that led to the largest forest fire ever observed in Portugal in 2019. The fire burned an estimated total area of around 9000 hectares in 12 h. The study is based on two simulations performed with the Meso-NH atmospheric model. Th...
Local to continental scale coupled fire-atmosphere simulation of large industri...
Baggio, Roberta; Filippi, Jean Baptiste; Truchot, Benjamin; Couto, FlavioThis paper presents an approach to model the multiscale smoke dispersion following industrial fires, based on the atmospheric code Meso-NH coupled with the ForeFire surface fire code. Meso-NH can solve explicitly micro to meso-scale meteorology, while ForeFire allows for an efficient parametrization of the injected heat and vapour fluxes. The combination of these two models allows for a straightforward implemen...
Modelling atmospheric conditions leading to large fires in Portugal
Campos, Cátia; Couto, Flavio; Salgado, RuiThe extensive study of wildfires is crucial to better understand how fire may be influenced by the atmospheric conditions [1]. The study explores the meteorological conditions associated with the mega fires occurred in Portugal on 15 October 2017. For that purpose, the MesoNH [2] atmospheric model was used. The model can represent the atmospheric motions in different scales and was configured in different resol...
Lightning modelling in numerical weather prediction
Salgado, Rui; Couto, Flavio; Iakunin, Maksim; Pinto, Paulo; Viegas, Tânia; Pinty, Jean-PierreThe explicit representation of the atmospheric electric field in numerical weather prediction models is a current challenge. This representation will allow a physically based lightning forecast. Present study aims to assess the performance of the Cloud ELectrification and Lightning Scheme (CELLS) [1] coupled to the Meso-NH atmospheric mesoscale research model [2] in simulating Cloud-to-Ground (CG) flashes. The ...
Fuel load and fuel moisture characterization using remote sensing data over Por...
Santos, Filippe; Couto, Flavio; Dias, Susana; Ribeiro, Nuno; Salgado, RuiFire is a worldwide and complex phenomenon with a critical role in water and carbon cycles. Furthermore, Portugal will be warmer and drier than nowadays under future scenario projections linked to climate changes. In such a context, to cover large areas with temporal regularity, remote sensing can be helpful for a better understanding of surface vegetation representation. Therefore, it is essential to understan...
Meteorological conditions during mega-fires and pyro-convection in Portugal in ...
Campos, Cátia; Couto, Flavio; Salgado, Rui; Filippi, Jean-Baptiste; Baggio, RobertaA wildfire has multiple variables that influence its development, such as topography, type and amount of fuels and meteorological factors. In this study, the goal is to better understand the meteorological conditions associated with the mega-fires occurred in Portugal on October 15, 2017. For that purpose, the MesoNH atmospheric model was used. The model can represent the atmospheric motions in different scales...
Modelling pyro-convective clouds using the MesoNH and ForeFire models
Couto, Flavio; Filippi, Jean Baptiste; Baggio, Roberta; Salgado, RuiExtreme wildfires are frequently associated with strong convective processes due the heat and moisture released by the combustion. Such a fire-atmosphere coupling environment lead the formation of convective clouds, also referred as PyroCumulus (PyroCu) or PryroCumulonimbus (PyroCb) clouds. In 2017, an extreme fire season affected Portugal. The present study aims to investigate how a wildfire can influence the ...
Study of mega fires in Portugal: surface, atmosphere and society perspectives
Salgado, Rui; Couto, Flavio; Andrade, Nuno; Campos, Cátia; Santos, Filippe; Purificação, Carolina; Filippi, Jean-Baptiste; Baggio, Roberta; Dias, SusanaA mega fire is a transversal problem to several fields, with impacts from the Earth’s atmosphere to human health and safety, quality of life and economic growth in affected areas. The study summarizes some recent studies developed at University of Évora, Portugal, covering the following areas: surface, atmosphere, and society. At surface, the study has been essential to understand the vegetation dynamic and fir...