Atmospheric Composition

  • Aerosol data assimilation

    Aerosol data assimilation integrates aerosol observations into atmospheric chemistry models. This can be used to provide optimal initial conditions to improve aerosol and weather forecast, as well as  to monitor current and past states of the atmosphere.

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  • Aerosol-radiation-cloud interactions

    Aerosols interact with the atmospheric system scattering and absorbing solar radiation, with a significant impact on atmospheric energy and hydrologic processes. Furthermore, aerosols alter the formation and precipitation efficiency of liquid-water, ice and mixed-phase clouds. 

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  • Air quality

    Air pollution is both an environmental and a social problem. This research line is based on the necessity of developing air quality models as a tools that allow to identify the sources and processes determining air quality and predict pollution episodes.

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  • Emission modelling

    Air pollutants released into the atmosphere as a result of anthropogenic and natural activities. The development of high-quality and high-resolution emission models of primary gases and aerosols represents a key step in providing information to modelling systems for air quality, climate change and policy.

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  • Microscale wind simulations and wind resource assessment

    Microscale wind simulations using Reynolds Averaged Navier-Stokes (RANS) and Large-Eddy Simulation (LES) turbulence models with thermal coupling for the atmospheric boundary layer in complex terrains for wind resource assessment (wind farm modelling) and short-term wind forecasts.

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  • Mineral dust

    Mineral dust models are used to improve our understanding of sand and dust storms and their variability as well as to investigate and quantify their impacts across multiple spatial and temporal scales.

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  • Solar energy services

    Solar energy is affected by desert dust, both due to radiation interception and physical deposition on the photovoltaic panels. Improved forecasting of renewable power generation can help to meet the balance between demand and supply, estimate more accurate budgets, and plan operations and maintenance.

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  • Urban development services

    Planning smartcities, optimizing transport and improving human health are key aspects of a sustainable urban development. In this sense, having air quality information is a core aspect for optimal decision making and planning.

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  • Urban-scale Atmospheric Dispersal Modeling

    Urban-scale wind and atmospheric dispersal modeling using CFD and mass-consistent approaches. Automatic city meshing including buildings and underlying terrain. Air quality mapping based on sensor deployment and linearized CFDs at city scale. 

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  • Volcanic ash

    Explosive volcanic eruptions eject large quantities of particulate matter (tephra) at heights from few to tens of km above the volcano vent. Observations and ash dispersal model forecasts are essential to support civil aviation management during a volcanic crisis.

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