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REddyProc: Post Processing of (Half-)Hourly Eddy-Covariance Measurements

Standard and extensible Eddy-Covariance data post-processing (Wutzler et al. (2018) <doi:10.5194/bg-15-5015-2018>) includes uStar-filtering, gap-filling, and flux-partitioning. The Eddy-Covariance (EC) micrometeorological technique quantifies continuous exchange fluxes of gases, energy, and momentum between an ecosystem and the atmosphere. It is important for understanding ecosystem dynamics and upscaling exchange fluxes. (Aubinet et al. (2012) <doi:10.1007/978-94-007-2351-1>). This package inputs pre-processed (half-)hourly data and supports further processing. First, a quality-check and filtering is performed based on the relationship between measured flux and friction velocity (uStar) to discard biased data (Papale et al. (2006) <doi:10.5194/bg-3-571-2006>). Second, gaps in the data are filled based on information from environmental conditions (Reichstein et al. (2005) <doi:10.1111/j.1365-2486.2005.001002.x>). Third, the net flux of carbon dioxide is partitioned into its gross fluxes in and out of the ecosystem by night-time based and day-time based approaches (Lasslop et al. (2010) <doi:10.1111/j.1365-2486.2009.02041.x>).

Version: 1.3.3
Depends: R (≥ 3.0.0), methods
Imports: Rcpp, dplyr, purrr, rlang, readr, tibble, magrittr, solartime, bigleaf (≥ 0.7), mlegp
LinkingTo: Rcpp
Suggests: testthat, minpack.lm, segmented, knitr, rmarkdown, lognorm, ggplot2, tidyr, markdown
Published: 2024-01-25
DOI: 10.32614/CRAN.package.REddyProc
Author: Department for Biogeochemical Integration at MPI-BGC, Jena, Germany [cph], Thomas Wutzler [aut, cre], Markus Reichstein [aut], Antje Maria Moffat [aut, trl], Olaf Menzer [ctb], Mirco Migliavacca [aut], Kerstin Sickel [ctb, trl], Ladislav <U+0160>igut [ctb]
Maintainer: Thomas Wutzler <twutz at bgc-jena.mpg.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://www.bgc-jena.mpg.de/bgi/index.php/Services/REddyProcWeb, https://github.com/bgctw/REddyProc
NeedsCompilation: yes
Materials: NEWS
CRAN checks: REddyProc results

Documentation:

Reference manual: REddyProc.pdf
Vignettes: DEGeb example: UStar estimation
extended use of gap-filling
different treatments of uStar threshold
Uncertainty aggregation
Using bigleaf functions
REddyProc typical workflow

Downloads:

Package source: REddyProc_1.3.3.tar.gz
Windows binaries: r-devel: REddyProc_1.3.3.zip, r-release: REddyProc_1.3.3.zip, r-oldrel: REddyProc_1.3.3.zip
macOS binaries: r-release (arm64): REddyProc_1.3.3.tgz, r-oldrel (arm64): REddyProc_1.3.3.tgz, r-release (x86_64): REddyProc_1.3.3.tgz, r-oldrel (x86_64): REddyProc_1.3.3.tgz
Old sources: REddyProc archive

Reverse dependencies:

Reverse depends: REddyProcNCDF

Linking:

Please use the canonical form https://CRAN.R-project.org/package=REddyProc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.