Criteria for acceptance

These criteria aim to ensure that accepted models or modules enhance natESM's capability and align with the strengths of our core components, thereby maintaining a coherent and effective strategy that advances Earth system modeling in a unified and productive manner. The criteria for acceptance into the natESM capability include: 

  1. Alignment with the German community

    Models should ideally align with the national research objectives and priorities of the German Earth system modeling community.

  2. A long-term institutional commitment

    Institutions must express their commitment to the continuous development and support of their models. For university contributions, natESM offers an adoption mechanism.

  3. Technical criteria

    Models must conform to agreed-upon technical criteria, ensuring compatibility and reliability within the natESM system.
    The technical criteria outlined for becoming a part of the natESM system provide a comprehensive framework for ensuring the efficiency, adaptability, and accessibility of the Earth system modeling components.

    The technical criteria below collectively emphasize the importance of a flexible, high-performance, and user-friendly Earth system modeling capability. By adhering to these criteria, natESM aims to create a robust and adaptable platform that can advance Earth system research and facilitate collaboration among a diverse group of institutions and researchers.

Well-defined interfaces between Earth System Components V2.png

Components within the natESM system should have clear and well-documented interfaces to facilitate seamless communication and data exchange between different parts of the model.

Allows simulations from global to local scales V2.png

The modeling system should support simulations across various scales, ranging from global-scale climate modeling to more localized and region-specific simulations.

Exascale-ready V2.png

The system should be prepared to harness the computational power of exascale supercomputers, ensuring it can handle the massive computational demands of high-resolution simulations.

Scalable workflows V2.png

Scalability is essential to adapt to various computational resources and research needs. Workflows should be designed to efficiently use available resources while maintaining performance.

Portability V2.png

The modeling system should be portable across different computing platforms and environments, making it accessible to a wide range of users and institutions.

Modularity V2.png

A modular design allows for flexibility and the ability to swap out or update specific components without affecting the entire system's functionality.

Data assimilation capacity V2.png

For those interested in making forecasts, the system should be capable of assimilating observational data into simulations to improve the accuracy and realism of model outputs.

Diagnostic capacity V2.png

Robust diagnostic tools should be integrated into the system, enabling users to analyze and interpret simulation results effectively.

User-friendly and well-documented V2.png

A user-friendly interface and comprehensive documentation are essential to ensure that researchers and scientists can easily access and understand the system.

Traceability, reproducibility, and version control V2.png

Traceability ensures that simulation results can be traced back to specific input conditions and configurations. Reproducibility is crucial for scientific rigor, allowing others to replicate research findings. Version control helps manage updates and changes to the system.

Standardization V2.png

Standardization of processes and data formats promotes consistency and interoperability across different components and institutions.

License of Useful Open-Source Type V2.png

The software and components used in the natESM system should be released under open-source licenses that allow for collaboration, modification, and redistribution while protecting intellectual property rights.