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We are excited to announce that we are organizing a two-day workshop on correctness and reproducibility for climate and weather software. Abstracts are being accepted now through August 1. Registration will remain open until October 20 (in person) and November 3 (virtual). And the workshop will take place November 9-10 at NCAR’s Mesa Laboratory in Boulder, Colorado, and virtually.

We hope that this workshop will provide a venue to discuss challenges, opportunities, and recent advances in ensuring software correctness and reproducibility for climate and weather modelers, HPC community members, and industry partners.

Topics of interest include but not limited to:

  • Tools and approaches for software testing, debugging, quality assurance, and continuous integration.
  • Statistical and ensemble-based approaches for evaluating model consistency and software correctness.
  • Software design approaches and development practices for streamlining correctness and reproducibility efforts.
  • Formal methods, abstraction, and logical proof techniques for rigorous verification.
  • Verifying and validating large-scale applications running on HPC clusters, cloud computing systems, heterogeneous systems, GPUs, etc.
  • Other software correctness and reproducibility approaches for facilitating verification and validation.

Submissions may include technical results, approaches, experiences, and opinions involving one or more of the above topics applied to:

  • Climate and weather simulation codes such as drivers, couplers, frameworks, and model components.
  • External libraries and packages used in climate and weather simulation applications.
  • Artificial intelligence techniques, such as machine learning and deep learning, applied to climate and weather software.
  • Diagnostics, post-processing, visualization tools, and libraries.
  • Packaging, environment management, version control, and porting techniques for facilitating reproducibility.
  • Other software development and approaches extensively used within the climate and weather simulation context.

For more information, visit the workshop website: https://ncar.github.io/correctness-workshop/