Introduction to Freva – A Free Evaluation System Framework for Earth System Modeling

• DOI: 10.5334/jors.253
• Publication Date: 2021-06-02T10:42:42Z
• Authors: Christopher Kadow; Sebastian Illing; Etor E. Lucio-Eceiza; Martin Bergemann; Mahesh Ramadoss; Philipp S. Sommer; Oliver Kunst; Thomas Schartner; Klaus Pankatz; Jens Grieger; Mareike Schuster; Andy Richling; Hannes Thiemann; Ingo Kirchner; Henning W Rust; Thomas Ludwig; Ulrich Cubasch; Uwe Ulbrich
• Keywords: validation; evaluation; shared knowledge approach; Climate Science, Earth System Modeling; data sharing; 0207 environmental engineering; cmip6; 02 engineering and technology; 15. Life on land; cmip5; QA76.75-76.765; Evaluation; Verification; Validation; High Performance Computer; HPC Hub/Portal, Science Gateway; Software Development; Data Sharing; Shared Knowledge Approach; Earth System Modeling; Climate Modeling; CMIP5; CMIP6; software development; high performance computer; Computer software; hpc hub/portal, science gateway; earth system modeling; verification; climate modeling

Freva – Free Evaluation System Framework for Earth system modeling is an efficient solution to handle evaluation systems of research projects, institutes or universities in the climate community. It is a scientific software framework for high performance computing that provides all its available features both in a shell and web environment. The main system design is equipped with the programming interface, history of evaluations, and a standardized model database. Plugin – a generic application programming interface allows scientific developers to connect their analysis tools with the evaluation system independently of the programming language. History – the configuration sub-system stores every analysis performed with the evaluation system in a database. Databrowser – an implemented meta data system with its advanced but easy-to-handle search tool supports scientists and their plugins to retrieve the required information of the database. The combination of these three core components, increases the scientific outcome and enables transparency and reproducibility for research groups using Freva as their framework for evaluation of Earth system models.