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New REddyProcWeb online tool

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.


  • 2018-11-27: Based the webservice on REddyProc version 1.1.6
    • flagging long runs of numerically equal values in NEE time series as bad data before processing
    • see history of changes
  • 2018-08-23: The publication describing REddyProc methods and benchmarking is published at the open-access journal Biogeosciences (doi: 10.5194/bg-15-5015-2018)

Ustar filtering

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.

Gap filling

Algorithms to fill the gaps in half-hourly eddy covariance data

The gap filling service is provided for the following variables:

  • Fluxes (including uncertainty estimates): NEE, LE, H
  • Meteo: Rg, VPD, rH, Tair, Tsoil
  • Other variables with suffix '_MDS'

Flux partitioning

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

Data plotting

All processed variables are plotted:

  • Fingerprint
  • Half-hourly fluxes and their daily means
  • Daily sums (and their uncertainties)
  • Diurnal cycle

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