Simulations in Weather and Climate
Predicting, mitigating and adapting to climate change and its effects on humans and natural systems is one of the biggest challenges in the 21st century.
A new generation of efficient, optimised weather and climate models running on exascale supercomputers is needed for reliable predictions not only of climate change, but of the weather and extreme weather events in a changing climate.
The path towards exascale computing holds enormous challenges for the community of weather and climate modelling regarding portability, scalability and data management, which 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 and climate models to leverage the performance of pre-exascale systems with regard to both compute and data capacity as soon as possible
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 optimise 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 ecosystem.
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.
Latest ESiWACE News
The goal of this use case is to reduce the memory footprint of the code by improving its distribution over parallel tasks, and to resolve the I/O bottleneck by implementing parallel reading and writing.
The goal of this use case is to reduce the memory footprint of the EMAC code in the GPU device, thereby allowing more MPI tasks to be run concurrently on the same hardware.
A list of innovations by the HPC Centres of Excellence, as spotted by the EU innovation radar
By supporting the DYAMOND intercomparison of storm-resolving global weather and climate models, ESiWACE facilitates the development of these next-generation models, and advances climate science. The intercomparison allows to identify common features and model-specific behaviour, and thus yields new scientific discoveries and increases the robustness of our knowledge and the models.