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Hydrometeorological dataset (2018–2023) from the largest Portuguese reservoir: ...

Rodrigues, Gonçalo; Purificação, Carolina; Potes, Miguel; Costa, Maria João; Salgado, Rui

The databases provided for two meteorological stations installed in the Alqueva reservoir (the largest artificial lake in Europe), one located on a floating platform and the other on the shore (approximately 1 km away in a straight line), cover a period of 6 years, from 2018 to 2023. The data available are, the hourly accumulated precipitation as well as the hourly averages of surface water temperature (0.25 m ...


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, Rui

Water 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...


Numerical investigation of the Pedrógão Grande pyrocumulonimbus using a fire to...

Couto, Flavio Tiago; Filippi, Jean-Baptiste; Baggio, Roberta; Campos, Cátia; Salgado, Rui

Understanding the development of fire-generated thunderstorms in mega fire events is important given their high impact on the evolution of the fire fronts, where the fire spread becomes highly unpredictable and difficult to suppress. This study aims to investigate numerically the influence of strong pyro-convective activity on the local atmospheric conditions by means of a numerical simulation based on the coup...


Triggering Pyro-Convection in a High-Resolution Coupled Fire–Atmosphere Simulation

Couto, Flavio Tiago; Filippi, Jean-Baptiste; Baggio, Roberta; Campos, Cátia; Salgado, Rui

This study aimed to assess fire–atmosphere interactions using the fully coupled Meso-NH–ForeFire system. We focused on the Pedrógão Grande wildfire (28,914 ha), which occurred in June 2017 and was one of the deadliest and most damaging fires in Portugal’s history. Two simulations (control and fully coupled fire–atmosphere) were performed for three two-way nested domains configured with horizontal resolutions of...


ECMWF Lightning Forecast in Mainland Portugal during Four Fire Seasons

Campos, Cátia; Couto, Flavio Tiago; Santos, Filippe L. M.; Rio, João; Ferreira, Teresa; Salgado, Rui

The study evaluated the ECMWF model ability in forecasting lightning in Portugal during four fire seasons (2019–2022). The evaluation was made based on lightning data from the national lightning detector network, which was aggregated into resolutions of 0.5° and 1° over 3 h periods and analyzed from statistical indices using two contingency tables. The results showed that the model overestimates the lightning o...


Modelling fire-induced meteorological phenomena using the MesoNH/ForeFire model

Campos, Cátia; Couto, Flavio Tiago; Filippi, Jean-Baptiste; Baggio, Roberta; Salgado, Rui

Cloud-resolving models coupled to fire propagation models is a powerful tool to understand fire-atmosphere environment. Portugal is one of the countries in Southern Europe with most burned area and numerous ignitions. In 2017, Portugal was affected by several mega-fires with burned areas larger than 10 000 hectares. Some of these fires presented the development of convective clouds, namely pyro-cumulus (pyroCu)...


ECMWF lightning forecasts evaluation during fire seasons in Portugal

Campos, Cátia; Couto, Flavio Tiago; Santos, Filippe L. M.; Rio, João; Ferreira, Teresa; Salgado, Rui

Lightning represents only 5-10% of fire causes in Europe and 1-2% in Portugal and correctly predicting its occurrence can help to mitigate large forest fires. In 2016, the European Centre for Medium-Range Weather Forecasts (ECMWF) introduced a parametrization for lightning forecast. Therefore, aiming to assess the feasibility of using ECMWF forecasts in the context of natural wildfires, this study analyses the ...


Towards a better understanding of pyroconvective clouds using Meso-NH/ForeFire ...

Couto, Flavio Tiago; Campos, Cátia; Filippi, Jean-Baptiste; Baggio, Roberta; Purificação, Carolina; Santos, Filippe L. M.; Salgado, Rui

In 2017, Portugal was affected by several mega-fire episodes, which led the convective clouds formation, i.e., pyroCumulus (pyroCu) or pyroCumulonimbus (pyroCb). The pyroCb plays a crucial role in the fire front evolution through feedback processes between the atmosphere and the fire, including increased burn and spread rates by surface wind speed and direction variations. In order to investigate the pyro-conve...


Assessing ECMWF Lightning Forecast in Portugal during fire seasons

Campos, Cátia; Couto, Flavio Tiago; Santos, Filippe L. M.; Rio, João; Ferreira, Teresa; Purificação, Carolina; Salgado, Rui

Portugal is one of the European countries that faces significant challenges with wildfires. While lightning-triggered natural fires constitute a minority compared to anthropogenic ones, accurate forecasting of lightning occurrences is crucial for effective prevention. The study assesses the ECMWF model's capability to predict lightning in Portugal over four fire seasons [2019-2022]. Observed lightning data was ...


Livro de Resumos da 11ª Assembleia Luso Espanhola de Geodesia e Geofísica

Caldeira, Bento; Bortoli, Daniele; Duarte, Ediclê; Buforn, Elisa; Carrilho, Fernando; Couto, Flávio; Ribeiro, Helena; Sobrino, José António

Livro de Resumos da 11ª Assembleia Luso Espanhola de Geodesia e Geofísica


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