CORDIS - EU research results

Excellence in Simulation of Weather and Climate in Europe, Phase 2

Project description

Preparing weather and climate community for exascale systems

The central goal of the EU-funded ESiWACE projects is to enable global storm- and eddy-resolving weather and climate models on next-generation supercomputers. This new type of models allows simulations that explicitly resolve small-scale features, like clouds and storms, and will vastly improve our ability to predict weather patterns in a changing climate. ESiWACE2 intends to organise and increase Europe’s excellence in weather and climate modelling by enabling leading European weather and climate models to take advantage of pre-exascale systems regarding compute and data capacity. The project will prepare the community to use exascale systems when they become available by developing high performance computing benchmarks, enhancing flexibility in using heterogeneous hardware and co-design, and providing targeted education and training.


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 (1) enable leading European weather and climate models to leverage the performance of pre-exascale systems with regard to both compute and data capacity as soon as possible and (2) prepare the weather and climate community to be able to make use of exascale systems when they become available. To achieve this goal, ESiWACE2 will (a) improve throughput and scalability of leading European weather and climate models and demonstrate the technical and scientific performance of the models in unprecedented resolution on pre-exascale EuroHPC systems, (b) evaluate and establish new technologies such as domain specific languages and machine learning for use in weather and climate modelling, (c) enhance HPC capacity via services to the weather and climate community to optimize code performance and allow model porting, (d) improve the data management tool chain from weather and climate simulations at scale, (e) foster co-design between model developers, HPC manufacturers and HPC centres, and (f) strengthen interactions of the community with the European HPC Eco-system. ESiWACE2 will deliver configurations of leading models that can make efficient use of the largest supercomputers in Europe and run at unprecedented resolution for high-quality weather and climate predictions. This will be a beacon for the community in Europe and around the world. ESiWACE2 will develop HPC benchmarks, increase flexibility to use heterogeneous hardware and co-design and provide targeted education and training for one of the most challenging applications to shape the future of HPC in Europe.

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Net EU contribution
€ 1 424 375,00
20146 Hamburg

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Hamburg Hamburg Hamburg
Activity type
Research Organisations
Total cost
€ 1 424 375,00

Participants (21)