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The REddyProc online tool implements the standardized methods for processing Eddy-Covariance data. This online tool is based on the REddyProc R package which can be used offline in R with more options and flexibility.
Citation: Wutzler T, Lucas-Moffat A, Migliavacca M, Knauer J, Sickel K, Sigut, Menzer O & Reichstein M (2018) Basic and extensible post-processing of eddy covariance flux data with REddyProc. Biogeosciences, Copernicus, 15, doi: 10.5194/bg-15-5015-2018
Algorithms for the calculation of the u* threshold.
UStar threshold is estimated by the Moving Point Test according to Papale et al. 2006.
The default definition of the seasons differs from standard Fluxnet processing: seasons that span from December to February can be now selected across years instead of using calendar year boundaries
Estimation of uncertainty of the threshold differs from FLUXNET processing by bootstrapping the data within seasons instead of within one year.
Algorithms to fill the gaps in half-hourly eddy covariance data
The gap filling service is provided for the following variables:
The algorithm for partitioning NEE_f into ecosystem respiration Reco and gross primary production GPP_f. Both night-time (Reichstein et al., 2005) and day-time (Lasslop et al., 2010) partitioning algorithms are implemented
All processed variables are plotted:
The previous 2015 online tool implemented the algorithms in PV-Wave. Due to slight modifications, there might be some differences in the results between the two tools.