Implementing Data-Driven Earth and Space Science

Jakob Lüttgau1

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.

Time Moderator Title
90 minutes TBC Commonalities between earth and space science domains in data-driven science

  • Challenges
  • Experiments in silico
  • ML methods library and knowledge base
  • ML Intercomparison Project
90 minutes Jakob Lüttgau Transformation of conceptual scientific models into ‘analysis-ready’ solutions (utilities)

  • HPC, HPD, Cloud Services
  • Service Provision / Environments
  • Software as a Service



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