Journal metrics

Journal metrics

  • IF value: 4.252 IF 4.252
  • IF 5-year value: 4.890 IF 5-year 4.890
  • CiteScore value: 4.49 CiteScore 4.49
  • SNIP value: 1.539 SNIP 1.539
  • SJR value: 2.404 SJR 2.404
  • IPP value: 4.28 IPP 4.28
  • h5-index value: 40 h5-index 40
  • Scimago H index value: 51 Scimago H index 51
Volume 10, issue 9 | Copyright
Geosci. Model Dev., 10, 3189-3206, 2017
https://doi.org/10.5194/gmd-10-3189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

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.
Related authors
Upscaling surface energy fluxes over the North Slope of Alaska using airborne eddy-covariance measurements and environmental response functions
Andrei Serafimovich, Stefan Metzger, Jörg Hartmann, Katrin Kohnert, Donatella Zona, and Torsten Sachs
Atmos. Chem. Phys., 18, 10007-10023, https://doi.org/10.5194/acp-18-10007-2018,https://doi.org/10.5194/acp-18-10007-2018, 2018
The Polar 5 airborne measurement of turbulence and methane fluxes during the AirMeth campaigns
Jörg Hartmann, Martin Gehrmann, Torsten Sachs, Katrin Kohnert, and Stefan Metzger
Atmos. Meas. Tech. Discuss., https://doi.org/10.5194/amt-2017-454,https://doi.org/10.5194/amt-2017-454, 2018
Revised manuscript accepted for AMT
Detecting impacts of extreme events with ecological in situ monitoring networks
Miguel D. Mahecha, Fabian Gans, Sebastian Sippel, Jonathan F. Donges, Thomas Kaminski, Stefan Metzger, Mirco Migliavacca, Dario Papale, Anja Rammig, and Jakob Zscheischler
Biogeosciences, 14, 4255-4277, https://doi.org/10.5194/bg-14-4255-2017,https://doi.org/10.5194/bg-14-4255-2017, 2017
Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2
Stefan Metzger, George Burba, Sean P. Burns, Peter D. Blanken, Jiahong Li, Hongyan Luo, and Rommel C. Zulueta
Atmos. Meas. Tech., 9, 1341-1359, https://doi.org/10.5194/amt-9-1341-2016,https://doi.org/10.5194/amt-9-1341-2016, 2016
Spatially explicit regionalization of airborne flux measurements using environmental response functions
S. Metzger, W. Junkermann, M. Mauder, K. Butterbach-Bahl, B. Trancón y Widemann, F. Neidl, K. Schäfer, S. Wieneke, X. H. Zheng, H. P. Schmid, and T. Foken
Biogeosciences, 10, 2193-2217, https://doi.org/10.5194/bg-10-2193-2013,https://doi.org/10.5194/bg-10-2193-2013, 2013
Related subject area
Atmospheric Sciences
Adding four-dimensional data assimilation by analysis nudging to the Model for Prediction Across Scales – Atmosphere (version 4.0)
Orren Russell Bullock Jr., Hosein Foroutan, Robert C. Gilliam, and Jerold A. Herwehe
Geosci. Model Dev., 11, 2897-2922, https://doi.org/10.5194/gmd-11-2897-2018,https://doi.org/10.5194/gmd-11-2897-2018, 2018
Simulating atmospheric tracer concentrations for spatially distributed receptors: updates to the Stochastic Time-Inverted Lagrangian Transport model's R interface (STILT-R version 2)
Benjamin Fasoli, John C. Lin, David R. Bowling, Logan Mitchell, and Daniel Mendoza
Geosci. Model Dev., 11, 2813-2824, https://doi.org/10.5194/gmd-11-2813-2018,https://doi.org/10.5194/gmd-11-2813-2018, 2018
TOAST 1.0: Tropospheric Ozone Attribution of Sources with Tagging for CESM 1.2.2
Tim Butler, Aurelia Lupascu, Jane Coates, and Shuai Zhu
Geosci. Model Dev., 11, 2825-2840, https://doi.org/10.5194/gmd-11-2825-2018,https://doi.org/10.5194/gmd-11-2825-2018, 2018
MOPSMAP v1.0: a versatile tool for the modeling of aerosol optical properties
Josef Gasteiger and Matthias Wiegner
Geosci. Model Dev., 11, 2739-2762, https://doi.org/10.5194/gmd-11-2739-2018,https://doi.org/10.5194/gmd-11-2739-2018, 2018
An update on the RTTOV fast radiative transfer model (currently at version 12)
Roger Saunders, James Hocking, Emma Turner, Peter Rayer, David Rundle, Pascal Brunel, Jerome Vidot, Pascale Roquet, Marco Matricardi, Alan Geer, Niels Bormann, and Cristina Lupu
Geosci. Model Dev., 11, 2717-2737, https://doi.org/10.5194/gmd-11-2717-2018,https://doi.org/10.5194/gmd-11-2717-2018, 2018
Cited articles
Ammann, C., Brunner, A., Spirig, C., and Neftel, A.: Technical note: Water vapour concentration and flux measurements with PTR-MS, Atmos. Chem. Phys., 6, 4643–4651, https://doi.org/10.5194/acp-6-4643-2006, 2006.
Aubinet, M., Vesala, T., and Papale, D. (Eds.): Eddy covariance: A practical guide to measurement and data analysis, Springer, Dordrecht, Heidelberg, London, New York, 438 pp., 2012.
Baldocchi, D., Falge, E., Gu, L., Olson, R., Hollinger, D., Running, S., Anthoni, P., Bernhofer, C., Davis, K., Evans, R., Fuentes, J., Goldstein, A., Katul, G., Law, B., Lee, X., Malhi, Y., Meyers, T., Munger, W., Oechel, W. U. K., Pilegaard, K., Schmid, H., Valentini, R., Verma, S., Vesala, T., Wilson, K., and Wofsy, S.: FLUXNET: A new tool to study the temporal and spatial variability of ecosystem-scale carbon dioxide, water vapor, and energy flux densities, B. Am. Meteorol. Soc., 82, 2415–2434, https://doi.org/10.1175/1520-0477(2001)082<2415:FANTTS>2.3.CO;2, 2001.
Billesbach, D. P.: Estimating uncertainties in individual eddy covariance flux measurements: A comparison of methods and a proposed new method, Agr. Forest. Meteorol., 151, 394–405, https://doi.org/10.1016/j.agrformet.2010.12.001, 2011.
Boettiger, C.: An introduction to Docker for reproducible research, with examples from the R environment, Operat. Syst. Rev., 49, 71–79, https://doi.org/10.1145/2723872.2723882, 2015.
Publications Copernicus
Download
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.
We apply the development and systems operations software development model to create the...
Citation
Share