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The new tool implements the same standardized methods of Reichstein et al. (2005) as the old 2015 online tool with the algorithms migrated from PV-Wave to R. Due to slight modifications, there might be some differences in the results between the two tools. This new online tool is based on the R package REddyProc which can be also be used offline in R.
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: