View source: R/EddyGapfilling.R
sEddyProc_sFillInit | R Documentation |
Initializes data frame sTEMP for newly generated gap filled data and qualifiers.
sEddyProc_sFillInit(Var.s, QFVar.s = "none",
QFValue.n = NA_real_, FillAll.b = TRUE)
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 |
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.
AMM Department for Biogeochemical Integration at MPI-BGC, Jena, Germany <REddyProc-help@bgc-jena.mpg.de> [cph], Thomas Wutzler <twutz@bgc-jena.mpg.de> [aut, cre], Markus Reichstein <mreichstein@bgc-jena.mpg.de> [aut], Antje Maria Moffat <antje.moffat@bgc.mpg.de> [aut, trl], Olaf Menzer <omenzer@bgc-jena.mpg.de> [ctb], Mirco Migliavacca <mmiglia@bgc-jena.mpg.de> [aut], Kerstin Sickel <ksickel@bgc-jena.mpg.de> [ctb, trl], Ladislav <U+0160>igut <sigut.l@czechglobe.cz> [ctb]
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