Articles | Volume 10, issue 9
Geosci. Model Dev., 10, 3189–3206, 2017
https://doi.org/10.5194/gmd-10-3189-2017
Geosci. Model Dev., 10, 3189–3206, 2017
https://doi.org/10.5194/gmd-10-3189-2017

Model description paper 31 Aug 2017

Model description paper | 31 Aug 2017

eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5

Stefan Metzger et al.

Model code and software

NEONScience/eddy4R: eddy4R-Docker 0.2.0 S. Metzger, D. Durden, C. Sturtevant, N. Pingintha-Durden, H. Luo, K. Xu, and A. Serafimovich https://w3id.org/smetzger/Metzger-et-al_2017_eddy4R-Docker/code/0.2.0

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Short summary
We apply the development and systems operations software development model to create the eddy4R–Docker open-source, flexible, and modular eddy-covariance data processing environment. Test applications to aircraft and tower data, as well as a software cross validation demonstrate its efficiency and consistency. Key improvements in accessibility, extensibility, and reproducibility build the foundation for deploying complex scientific algorithms in an effective and scalable manner.