1German Climate Computing Centre
This workshop will explore the commonalities in data-driven research between different earth and space science domains and ways forward in their technical implementation.
The first session will look at the science drivers underlying the requirements for data-driven research in the earth and space sciences. These questions will inform the discussion about common data challenges, the shift to in silico experiments, and the development of a common machine learning toolbox.
The second session will discuss how to transform conceptual scientific models into ‘analysis-ready’ solutions. These solutions will require more than HPC and cloud infrastructures, but also the provision of compute and data services, and the embedding of machine learning in ‘software as a service’ solutions.
|90 minutes||TBC||Commonalities between earth and space science domains in data-driven science
|90 minutes||Jakob Lüttgau||Transformation of conceptual scientific models into ‘analysis-ready’ solutions (utilities)