Huvudinnehåll

Ana Cristina Carvalho

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Air Quality researcher, Ph.D. and research leader.

Porträtt på Ana Cristina Carvalho.

Ana Cristina Carvalho.

Fields of work

Mesoscale air quality modelling over Europe, and zoomed to metropolitanean areas, aiming to understand the processes leading to air pollution events, such as stratospheric ozone down to the surface, and particulate matter dust outbreaks. Air quality climatology on both measured and modelled data.

Research Interests

  • Ozone transport and production
  • Particulate matter
  • Statistical analysis of meteorological and air quality data

Special competences

Regional air quality modelling, students supervision, research project coordination at national level.

Latest publications

Coupled Atmosphere-Fire Modelling of Pyroconvective Activity in Portugal

Ricardo Vaz, Rui Silva, Susana Cardoso Pereira, Ana Cristina Carvalho, David Carvalho, Alfredo Rocha

In: FIRE-SWITZERLAND, Vol. 8, No. 4

2025

DOI: 10.3390/fire8040153

This study investigates the physical interactions and between forest fires and the atmosphere, which often lead to conditions favourable to instability and the formation of pyrocumulus (PyCu). Using the coupled atmosphere-fire spread modelling framework, WRF-SFIRE, the Portuguese October 2017 Quiaios wildfire, in association with tropical cyclone Ophelia, was simulated. Fire spread was imposed via burnt area data, and the fire's influence on the vertical and surface atmosphere was analysed. Simulated local atmospheric conditions were influenced by warm and dry air advection near the surface, and moist air in mid to high levels, displaying an inverted "V" profile in thermodynamic diagrams. These conditions created a near-neutrally unstable atmospheric layer in the first 3000 m, associated with a low-level jet above 1000 m. Results showed that vertical wind shear tilted the plume, resulting in an intermittent, high-based, shallow pyroconvection, in a zero convective available potential energy environment (CAPE). Lifted parcels from the fire lost their buoyancy shortly after condensation, and the presence of PyCu was governed by the energy output from the fire and its updrafts. Clouds formed above the lifted condensation level (LCL) as moisture fluxes from the surface and released from combustion were lifted along the fire plume. Clouds were primarily composed of liquid water (1 g/kg) with smaller traces of ice, graupel, and snow (up to 0.15 g/kg). The representation of pyroconvective dynamics via coupled models is the cornerstone of understanding the phenomena and field applications as the computation capability increases and provides firefighters with real time extreme fire conditions or predicting ahead of time.