Proyectos

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Cold air outbreaks are typical of the mid-latitude climate during the cold season. Their relevance relies on the threat to life caused by the long-lasting periods with abnormally low temperatures, the potential of damage to crops, and the occurrence of high-impact weather events such as heavy snow and low visibility during blizzards.

Previous studies...

Monitoring the composition of the atmosphere is a key objective of the European Union's flagship Space programme, Copernicus. The Copernicus Atmosphere Monitoring Service (CAMS) provides free and continuous data and information on atmospheric composition and the CAMS Service Evolution (CAMEO) project will enhance the quality and efficiency of the CAMS service and help CAMS to...

The Copernicus Climate Change Service Evolution (CERISE) project aims to enhance the quality of the C3S reanalysis and seasonal forecast portfolio with a focus on land-atmosphere coupling. It will support the evolution of C3S by improving the C3S climate reanalysis and seasonal prediction systems and products towards enhanced integrity and coherence of the C3S Earth system...

Data has become one of the most valuable assets, driving the digital transformation across many sectors. Current data mining solutions are optimized to deal with specific data requirements, but fail to cope as the data characteristics become extreme. There is therefore an urgent need for novel and holistic approaches to enable the development, deployment and efficient...

The COVID-19 pandemic has starkly demonstrated the need for better disease intelligence that is capable of anticipating and identifying epidemic risks and outbreaks. This includes emerging and re-emerging MBD risks. In the absence of effective vaccine solutions for most MBDs, attention has turned to vector management as an excellent, but underutilized opportunity for...

Keeping in mind the potential opportunities, risks and limitations offered by Artificial Intelligence (AI), AI4CCAM will develop an open environment for integrating trustworthy-by-design AI models of vulnerable road user behaviour anticipation in urban traffic conditions to ensure improved road safety and user acceptance.

Leveraging the Trustworthy AI...

The EERIE answers Horizon Europe call: HORIZON-CL5-2022-D1-02-02: Development of high-resolution Earth system models for global and regional climate change projections.

The project uses four European global climate models to produce new simulations of past and future climate. The representation of ocean processes will be at the cutting edge given that...

ASPECT aims to setup and demonstrate a seamless climate information (SCI) system with a time horizon up to 30yr and accompanied with underlying research and using climate information for sectoral applications ( middle-ground level 1). The project's goal is to improve existing climate prediction systems and to merge their outputs across timescales together with climate...

Compound events (CEs) can pose significant threats to societies, economies and ecosystems around the world, especially when amplified by anthropogenic climate change (ACC). There is therefore a strong need for skilled, reliable and actionable predictions of how CEs are expected to change in the next decades to help governments and stakeholders implement robust adaptation...

The high-performance demands of the functionalities required in complex critical systems is rapidly increasing. In the space domain, on-board processing algorithms for navigation and control systems are needed to increase  spacecraft autonomy; in the automotive and railway domains, advanced driving assistance systems (ADAS) and obstacle detection and avoidancesystems...

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