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>).
