sFillInit: sEddyProc$sFillInit - Initialize gap filling

In REddyProc: Data processing and plotting utilities of (half-)hourly eddy-covariance measurements

Description

Initializes data frame sTEMP for newly generated gap filled data and qualifiers.

Usage

sFillInit(Var.s, QFVar.s = "none", QFValue.n = NA_real_, 
    FillAll.b = TRUE)

Arguments

Var.s	Variable to be filled
QFVar.s	Quality flag of variable to be filled
QFValue.n	Value of quality flag for _good_ (original) data, other data is set to missing
FillAll.b	Fill all values to estimate uncertainties

Details

Description of newly generated variables with gap filled data and qualifiers:

VAR_orig - Original values used for gap filling
VAR_f - Original values and gaps filled with mean of selected datapoints (condition depending on gap filling method)
VAR_fqc - Quality flag assigned depending on gap filling method and window length (0 = original data, 1 = most reliable, 2 = medium, 3 = least reliable)
VAR_fall - All values considered as gaps (for uncertainty estimates)
VAR_fall_qc - Quality flag assigned depending on gap filling method and window length (1 = most reliable, 2 = medium, 3 = least reliable)
VAR_fnum - Number of datapoints used for gap-filling
VAR_fsd - Standard deviation of datapoints used for gap filling (uncertainty)
VAR_fmeth - Method used for gap filling (1 = similar meteo condition (sFillLUT with Rg, VPD, Tair), 2 = similar meteo (sFillLUT with Rg only), 3 = mean diurnal course (sFillMDC))
VAR_fwin - Full window length used for gap filling

Long gaps (larger than 60 days) are not filled.

Author(s)

AMM (Department for Biogeochemical Integration at MPI-BGC, Jena, Germany)

REddyProc documentation built on May 2, 2019, 5:19 p.m.