19th Workshop on high performance computing in meteorology

The new very-high-resolution EC-Earth 4 climate demonstrator

Recent studies have established that the typical atmospheric and oceanic resolutions used for the CMIP5 coordinated exercise, i.e., around 40km-150km globally, are limiting factors to correctly reproduce the climate mean state and variability. In the framework of the ESiWACE project, the Barcelona Supercomputing Center (BSC)...

This talk will focus on the latest developments within the NGMS LFRic project, a replacement for the Met Office weather and climate model based on a separation of concerns approach splitting the natural science code from the computational optimisations. The talk provides details on on-going improvements to the performance and implementation of the full global atmosphere model implemented using...

The increase in the forecast capability of Numerical Weather Prediction (NWP) is strongly linked to the spatial resolution to solve more complex problems. However, this requires a large demand of computing power and it might generate a massive volume of model output. In this context, the improvement of the computational efficiency of NWP models will be mandatory.

In this work we present our...

We will introduce the Maestro middleware framework, a data- and memory-aware abstraction for workflow coupling, inter- and intra-application data exchange and redistribution. A central design goal was to enable modelling of memory and storage hierarchies to allow for reasoning about data movement and placement based on costs of moving data objects. At the same time, data objects can carry...

ECMWF operational forecast generates massive amounts of I/O in short bursts, accumulating to tens of TiB in hourly windows. From this output, millions of user-defined daily products are generated and disseminated to member states and commercial clients all over the world. These products are processed from the raw output of the IFS model, within the time critical path and under strict delivery...

The execution of Weather and Climate simulation models requires orchestrating a series of jobs (steps) that depend on each other. In the context of High-Performance Computing, resources are usually scarce as the users' demand rises as their simulations compete in the scheduling system. An HPC platform usually implements clusters of different capacities and technologies, each with its...