http://hdl.handle.net/10174/37684 2026-04-04T05:39:44Z 2026-04-04T05:39:44Z Galveias, Ana Rodrigues, Ana R. Antunes, Célia http://hdl.handle.net/10174/41335 2026-02-19T11:59:40Z 2026-02-01T00:00:00Z

Title: Relatório de Atividades de bolsa pós-doutoramento (EURAXESS offer 321395) Authors: Galveias, Ana; Rodrigues, Ana R.; Antunes, Célia Abstract: Relatório de atividades de bolsa pós-doutoramento com a referência EURAXESS offer 321395, no âmbito do projeto AirBiD: Airborne biological diversity shaped and modelled by Urban Green Elements(https://doi.org/10.54499/BiodivNBS/0008/2023)

2026-02-01T00:00:00Z Cordoba, Carmen Costa, Maria João http://hdl.handle.net/10174/40321 2026-01-12T22:48:07Z 2025-01-01T00:00:00Z

Title: Relatório Técnico Authors: Cordoba, Carmen; Costa, Maria João Abstract: The implications of aerosols and clouds in the climate is one of the most important research fields in atmospheric sciences (IPCC, 2023; https://doi.org/10.1017/9781009157896). This is mainly due to the fact that there are still large uncertainties in the radiative forcing (RF) of both aerosols and clouds, especially the indirect RF associated with the dynamics of aerosol-cloud interactions (ACI). In fact, the current ESA/JAXA EarthCARE mission (from May 2024; https://earth.esa.int/eogateway/missions/earthcare) primarily aims at studying aerosol-cloud-radiation interactions in order to determine their effect on the energy balance of the Earth-atmosphere system, and therefore their impact on the climate and future climate projections. In this sense, advanced instrumentation is needed to conduct a more comprehensive monitoring of aerosols and clouds. In this regard, remote sensing techniques, as active (e.g. lidar systems, as typical atmospheric profilers) as passive (e.g. sun-sky-lunar photometers), represent fundamental tools to be applied in these studies. In relation to ACI, it is worth highlighting the role that the atmospheric aerosols (e.g. dust, biomass-burning, sea spray, anthropogenic pollution) play by serving as condensation nuclei (CCN) or ice nuclei (INP) in cloud formation via aerosol-induced nucleation. However, their contribution can be differently revealed. In particular, mineral dust is one of the most active aerosols efficiently acting as INP (https://doi.org/10.1029/2003GL017410), as well as CCN (https://doi.org/10.1029/2011JD016283). On the other hand, despite being less understood, marine aerosols exhibit a significant potential to serve as CCN (https://doi.org/10.1029/2005JD006186) and/or INP (https://doi.org/10.1073/pnas.1514034112). In this framework, the main objective of this proposal is to investigate the marine aerosols in relation with their CCN/INP predictions (novel study) in comparison to mineral dust (more widely studied).

2025-01-01T00:00:00Z Couto, Flavio Tiago Salgado, Rui http://hdl.handle.net/10174/39443 2025-10-16T09:59:28Z 2025-05-12T23:00:00Z

Title: PyroC.pt project: Final report Authors: Couto, Flavio Tiago; Salgado, Rui Abstract: The 4-years PyroC.pt project aimed to obtain a better representation of fuel properties and pyroconvection understanding in Portugal encompassing the following specific goals: i) to improve the coupling between physiography and surface schemes used in NWP models, ii) to obtain a more realistic numerical representation of wildfires from coupled models, iii) to obtain a better understanding of pyro-convection, as well as its impact in the atmospheric processes, and iv) to assess a seasonal wildfire risk based on surface modelling forced by long-range forecast. The project was based on observations and mainly on the French models SURFEX, AROME, Meso-NH and ForeFire. Besides the different ways to improve fuel characterization from combining remote sensing, numerical modelling and machine learning approach, the project allowed a better understanding of atmospheric processes that occur during large forest fires in Portugal. These processes range from vegetation dynamics to physical processes that occur in the atmosphere depending on fire behavior. Overall, the project gave insights into how numerical modelling can help to understand the processes related to wildfires dynamics and opened ways to future research into this topic.

2025-05-12T23:00:00Z