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.
This use case is aiming at optimizing burner performance in terms of pollutant emissions, making use of large-scale simulations.
The goal of this use case is to demonstrate the predictive capabilities of Exascale simulations to provide accurate results of soot formation when applied to large-scale simulations.
ESiWACE: Optimization of Earth System Models in the path to the new generation of Exascale high-performance computing systems
The main goal of this use case is to achieve the good scalability of the Earth System Model EC-Earth using resolutions up to 10 kilometres of horizontal spatial resolution
PerMedCoE: HPC-enabled multiscale simulation helps uncover mechanistic insights of the SARS-CoV-2 infection
In this use case, PermedCoE’s main aim is to uncover mechanistic insights that could help in the fight against SARS-CoV-2. Researchers use Boolean models of signalling pathways, agent-based models for populations of cells and the communication among virus, epithelial host cells and immune cells.
The aim of this use case is to use a posteriori error estimation to drive both mesh adaption and CAD morphing in an iterative process to produce an optimal design for a given output of interest.
The objective of this use case is to simulate and analyse the consequences of geomagnetic reversals with an unprecedented level of accuracy. These events are extremely rare in the history of our planet, hence the need to resort to numerical simulations to better understand the properties of reversals and their possible consequences for society.
The objectives of this use case is to develop general concepts for enabling physics-based seismic hazard assessment with state-of-the-art multi-physics earthquake simulation software and conduct 3D physics-based seismic simulations to improve PSHA for validation scenarios provided by IMO (Iceland) and beyond.
The aim of this use case is to provide robust and very efficient numerical codes for faster-than-real-time Tsunami simulations that can be run in massively parallel multi-GPU architectures.
The objective of this use case is to provide innovative hazard maps with uncertainty, and overcoming the current limits of PVHA imposed so far by the high computational cost required to adequately simulate complex volcanic phenomena.