Summer School on Effective HPC for Climate and Weather (23 -26 August 2021)

Making effective use of HPC environments becomes increasingly challenging for PhD students and young researchers.

As their primary intent is to generate insight, they often struggle with the technical nature of the tools and environments that enable their computer-aided research: computation, integration, and analysis of relevant data.

The scope of the summer school is training young researchers and software engineers in methods, tools, and theoretical knowledge to make effective use of HPC environments and to generate insights.

Due to COVID-19, this year’s summer school will be held as a virtual event again.

While the school aims to prepare the attendees for large-scale simulation runs and data processing, it also covers a representative selection of modern concepts such as machine learning, domain-specific languages, containerisation, and analysis of climate/weather data using Python. We will also provide an outlook on challenges and strategies for HPC for climate and weather. Additionally, we aim to foster networking among scientists, bringing together users of specific models and tools and enabling them to exchange their knowledge.

Summer school attendees will receive a certificate of attendance.

For the detailed programme and the registration form, please visit the official summer school website.

The school is funded by ESiWACE2 and will support the mission of the European Network for Earth System modelling (ENES).