Projectes

Atmospheric chemistry, atmospheric composition, air pollution, Climatology and climate change, Physical geography, Earth observations from space/remote sensing, Dust aerosols; Mineralogy; Physics of emission; Climate; Modelling; Spectroscopy Soil dust aerosols are mixtures of different minerals, whose relative abundances, particle size distribution (PSD), shape, surface...

When provided in a climate-services context, seasonal climate forecasts can enable a more effective adaptation to climate variability and change, offering an under-exploited opportunity to minimise the agricultural impacts of adverse climateconditions. However, the development of seasonal prediction systems of climate-driven impacts on agriculture is still largely in the...

The European Cloud Initiative implementation encompasses different elements and will require a solid governance setup. Acornerstone of this governance is a Joint Undertaking, planned to start activities in 2019. HPC-GIG proposes intelligence gathering services from the European HPC stakeholders to this future HPC Governance - HPCG. It aims to facilitate atimely start of its...

Atmospheric particles coming from various sources such as in desert dust, biomass burning emissions or volcanic ashes can cause significant problems in aviation such as rerouting due to poor visibility, disturbance in airport operations, massive cancelling of scheduled fights and mechanical problems such as erosion, corrosion or abrasion (engine flame out in flight). Remember...

During the last century, the North Atlantic sea surface temperature exhibited super imposed long-term warming trend and multidecadal fluctuations. This multidecadal variability is referred to as the Atlantic Multidecadal Variability (AMV). The AMV has been pointed as the source of marked climate anomalies and associated human impacts over many areas of the globe. This...

The ORCAS project aims to bring new light to the biological carbon pump, the process by which atmospheric carbon dioxide is sequestered in the deep ocean in the form of sinking particles produced by plankton. The objectives of ORCAS are to:
    • validate a state-of-the-art biogeochemical model against novel high-resolution mesaurements made by drifting underwater...

The interaction between High-Performance computing (HPC) and Artificial Intelligence (AI) is creating a new horizon: "High-Performance Artificial Intelligence" (HPAI) that is fueling the growth of platforms, applications and products empowered by AI. Although AI is not a new field of research, recent advances in HPC have given AI the necessary tools to become a game changing...

The goal of this project is to assess the suitability of the NEMO code to run simulations on extremely high resolution global grids and provide information on the major bottlenecks constraining its scalability, in order to address the ever-increasing demands of oceanic forecasting and facilitate the deployment of these configurations in the next years. Special focus will be...

The ExaQUte project aims at constructing a framework to enable Uncertainty Quantification (UQ) and Optimization Under Uncertainties (OUU) in complex engineering problems using computational simulations on Exascale systems. The stochastic problem of quantifying uncertainties will be tackled by using a Multi Level MonteCarlo (MLMC) approach that allows a high number of...

According to the 2014 European Society of Cardiology Guidelines, cardiomyopathies are defined as structural and functional abnormalities of the ventricular myocardium that are unexplained by flow limiting coronary artery disease or abnormalloading conditions. There are four major classifications of cardiomyopathy:

• hypertrophic (HCM),
• dilated...