The central goal of this project is to provide a service to the national ESM community that will enable the individual components of simulation based climate research in Germany to advance the use of future supercomputers and to use them efficiently supported by a steering committee and team.

HPC is the workhorse for the ESM community and allows for new insights into climate processes to better understand the climate change and to evaluate adaptation scenarios.

Aims and Scope

The establishment of a national ESM support team will help to save resources, awaken synergies, share insights and disseminate knowledge.

  • deliver direct HPC-support and consultancy to the ESM community,
  • build up an expertise in the focus area: HPC, workflows, modularisation/scalable coupling of components, scalable diagnostics,
  • offer training program for the ESM community to prepare codes independently in the home institutes
  • finalise the national ESM strategy

The natESM-Project focuses on different topics, which address technical, structural and scientific aspects to be solved.


Guiding principle

1. Enabling


 the motivation for gathering behind it is built by making life easier through the strategy.

2. Sustainable


the required long-term stewardship of model (sub) systems can be secured only if the steward’s legitimate self-interest
is aligned with the community task or service expected of the steward.

3. Verifiable


it must be possible to diagnose, after a reasonable time, whether the strategy has succeeded or failed.

4. Pragmatic


whatever is agreed upon must be usable and efficient. Moreover, code options, while offering enhanced flexibility, can create substantial overhead especially when code must be ported to a new architecture, and can hence severely curtail efficiency. Sometimes clear choices must be made, to be re-assessed later.


Criteria for an ESM system

Our ambition is to create a world-leading, multiscale, seamless Earth system modelling system, usable in research, operational applications, training, and education that has the following properties:


The modelling system considers German expertise, does not exclude international components but avoids dependencies, and has a fit-for-purpose transparent governance structure.