CheckDataGaps: Checks for missing and gap-filled data and determines output...

In aukkola/FLUXNET2015_processing: Quality Control and Data Conversion for 'FLUXNET' Data for Land Surface Modelling

Checks for missing and gap-filled data and determines output years

Description

Checks for missing and gap-filled data and determines output years

Usage

CheckDataGaps(
  datain,
  qc_flags,
  missing_met,
  missing_flux,
  gapfill_met_tier1,
  gapfill_met_tier2,
  gapfill_flux,
  gapfill_good,
  gapfill_med,
  gapfill_poor,
  gapfill_era,
  gapfill_stat,
  min_yrs,
  qc_name,
  aggregate = NA,
  site_log
)

Arguments

datain	Input data list
qc_flags	Values of qc flags
missing_met	Threshold for missing values per year for met variables (as percentage)
missing_flux	Threshold for missing values per year for flux variables (as percentage)
gapfill_met_tier1	Threshold for all gap_filling per year for Tier 1 met variables (as percentage)
gapfill_met_tier2	Threshold for all gap_filling per year for Tier 2 met variables (as percentage)
gapfill_flux	Threshold for all gap_filling per year for flux variables (as percentage)
gapfill_good	Threshold for good quality gap_filling per year (as percentage, ignored if gapfill_all set)
gapfill_med	Threshold for medium quality gap_filling per year (as percentage, ignored if gapfill_all set)
gapfill_poor	Threshold for poor quality gap_filling per year (as percentage, ignored if gapfill_all set)
min_yrs	Minimum number of consecutive years
qc_name	Name of QC variable of dataset
site_log	Site log
showWarn	Print warning?

Value

out

aukkola/FLUXNET2015_processing documentation built on July 4, 2023, 12:02 p.m.