Sign in
Ctrl K

ESiWACE3

Centre of Excellence in Simulation of Weather and Climate in Europe

ESiWACE3

The ESiWACE3 project aims to build on the success of its predecessor, ESiWACE2, by further advancing Earth system modeling capabilities in Europe. The project will focus on supporting the scientific community in reaching higher readiness levels for exascale supercomputing and facilitating knowledge transfer between various Earth system modeling centers and teams across the continent.

ESiWACE3 has three main objectives: (i) to promote the efficient and scalable simulation of weather and climate by sharing knowledge and technology across the Earth system modeling community, (ii) to close common technology knowledge gaps and provide toolboxes for high-resolution Earth system modeling through joint developments, and (iii) to serve as a sustainable community hub for training, communication, and dissemination in high-performance computing for weather and climate modeling in Europe.

By bringing together different modeling groups to address these challenges, the project aims to foster collaboration, generate synergies between local efforts, offer targeted support to modeling groups through customized high-performance computing services, and provide training for the next generation of researchers.

Participating organisations

Barcelona Supercomputing Center
Netherlands eScience Center
DKRZ
ECMWF
University of Helsinki
CSC - IT Center for Science (Finland)
Max Planck Society
CMCC
Latest Thinking
Atos (France)
Forschungszentrum Jülich

Output

Team

Ben van Werkhoven
Ben van Werkhoven
Co-PI, Work Package Leader
Netherlands eScience Center
Gijs van den Oord
Gijs van den Oord
Senior eScience Research Engineer
Netherlands eScience Center
Stijn Heldens
Stijn Heldens
Niels  Drost
Niels Drost
Programme Manager
Netherlands eScience Center

Related projects

ESiWACE2

For future exascale climate and weather predictions

Updated 18 months ago
Finished

Related software

ESMValCore

ES

ESMValTool Core: core functionalities and driver for ESMValTool, a community diagnostic and performance metrics tool for routine evaluation of Earth System Models in CMIP.

Updated 8 months ago
73 45

ESMValTool

ES

The Earth System Model eValuation Tool is a community diagnostics and performance metrics tool for the evaluation of Earth System Models that allows for routine comparison of models and observations.

Updated 8 months ago
271 93

Kernel Launcher

KE

Dynamically compile GPU kernels and launch them easily and safely using C++ magic. Tight integration with Kernel Tuner results in blazing fast CUDA code that is maintainable and performance portable.

Updated 4 months ago
1 2

Kernel Tuner

KE

Kernel Tuner greatly simplifies the development of highly-optimized and auto-tuned CUDA, OpenCL, and C code, supporting many advanced use-cases and optimization strategies that speed up the auto-tuning process.

Updated 8 months ago
92 15