Projects
MITIGATE (MonIToring and dIagnosinG ozone formATion from spacE) aims to unravel the sensitivity of surface O3 production to NOx and VOC precursors over Spain using the high-resolution TROPOMI sensor. Designed to address the aforementioned issues, the specific objectives of the project are:
- to assess the consistency between...
NextGEMS will develop and apply a new generation of global coupled Storm-Resolving Earth System Models (SR-ESMs) to the study of anthropogenic climate change. SR-ESMs are distinguished by their fine, 3 km, grid in the atmosphere andocean. This allows a more physical representation of atmospheric and oceanic circulation systems, including their coupling to Earth-system...
One of the main drivers for building exascale HPC systems today is the growing need to process extremely large data sets. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file access in combination with limited bandwidth make the centralised backend parallel...
The path towards exascale computing holds enormous challenges for the community of weather and climate modelling regarding portability, scalability and data management that can hardly be faced by individual institutes. ESiWACE2 will therefore link, organise and enhance Europe's excellence in weather and climate modelling to
- enable leading European weather...
Extreme weather events, such as heat waves, droughts and flooding, have a devastating impact on humanity, causing increased mortality and suffering, as well as economic losses. Skillful predictions of such events, with sufficient lead-time for adaptation procedures can provide huge benefits to human kind. Recent extreme events, including the severe European and Russian...
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction, and provide the key components for weather and climate domain benchmarks to be deployed on extreme-scale demonstrators and beyond. This will be achieved by developing bespoke and novel mathematical and algorithmic concepts, combining them...
As a result of HBP SGA-1, the Qbeast framework enables to achieve the concept of interactive supercomputing and in-situ techniques to break traditional workflows in HPC simulations, converting them into more dynamic and adaptive to the needs of scientists. As a long term project, the HBP does not include in its current work plan the exploitation of such relatively small...
The European Climate Prediction system project (EUCP) has four objectives, all directly relevant to the work programme, and fully meet the challenge, scope and impact of the work programme.
1.Develop an innovative ensemble climate prediction system based on high-resolution climate models for Europe for the near-term (~1-40years), including improved methods used to characterise...
Large scale deployment of renewable energy (RE) is key to comply with the GHG emissions reduction set by the COP21 agreement. Despite cost competitive in many settings, RE diffusion remains limited largely due to its variability. This works as a major barrier to RE’s integration in electricity networks as knowledge of power output and demand forecasting beyond a few...