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

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

Large differences in instrumentation, site setup, data format, and operating system stymie the adoption of a universal computational environment for processing and analyzing eddy-covariance (EC) data. This results in limited software applicability and extensibility in addition to often substantia...

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Bibliographic Details
Main Authors: S. Metzger, D. Durden, C. Sturtevant, H. Luo, N. Pingintha-Durden, T. Sachs, A. Serafimovich, J. Hartmann, J. Li, K. Xu, A. R. Desai
Format: Article
Language:English
Published: Copernicus Publications 2017-08-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/10/3189/2017/gmd-10-3189-2017.pdf

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