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

Metzger, Stefan; Durden, David; Sturtevant, Cove; Luo, Hongyan; Pingintha-Durden, Natchaya; Sachs, T.; Serafimovich, Andrei; Hartmann, Jörg; Li, Jiahong; Xu, Ke; Desai, Ankur R.

doi:10.5194/gmd-10-3189-2017

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Journal Article

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

Authors

Metzger, Stefan
External Organizations;

Durden, David
External Organizations;

Sturtevant, Cove
External Organizations;

Luo, Hongyan
External Organizations;

Pingintha-Durden, Natchaya
External Organizations;

/persons/resource/tsachs

Sachs, T.
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

/persons/resource/andrei

Serafimovich, Andrei
1.4 Remote Sensing, 1.0 Geodesy, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum;

Hartmann, Jörg
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Li, Jiahong
External Organizations;

Xu, Ke
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Desai, Ankur R.
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Citation

Metzger, S., Durden, D., Sturtevant, C., Luo, H., Pingintha-Durden, N., Sachs, T., Serafimovich, A., Hartmann, J., Li, J., Xu, K., Desai, A. R. (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. - Geoscientific Model Development, 10, 3189-3206.
https://doi.org/10.5194/gmd-10-3189-2017

Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_2524889

Abstract

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