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IS-ENES2_MS4.5_Configuration Management Best Practice Guide for Climate Science

A configuration management best practice guide for Climate Science has been produced taking contributions from more than 40 individuals from more than 30 institutions. This paper analyses configuration management from the point of view of a number of key roles: model developers, system owners, experiment designers and data consumers. The conclusion is that a wider exploitation of tools to capture the full workflow and to formalize testing and code reviewing would add to the good practices commonly used in the community. An appendix on model reproducibility provides useful background to the challenges faced by the community.

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IS-ENES3 has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824084