CO2 Net Ecosystem Exchange using Eddy Covariance — GLBRC Scale-up Experiment

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This datatable is part of the KBS GLBRC CO2 Net Ecosystem Exchange using Eddy Covariance method dataset.

The eddy covariance tower method is used to make continuous measurements of the carbon dioxide net ecosystem exchange (NEE). There are 7 towers on KBS GLBRC scale-up fields; 3 at Lux Arbor Reserve and 4 at the the Marshall Farms fields.

Note

Experiment: GLBRC Scale-up Experiment
Data available from: January 2009 to January 2015
Dataset: KBS061
Datatable ID: KBS061-003.30
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Last Updated 2023-10-24
Variate Description Units
sample date sample date
tower tower identifier
treatment treatment code
description crop and site history description
nee Net Ecosystem Exchange -high quality data only, only data with QC rating of 0
le Latent heat flux density
qcle quality criterion for LE (0 to 2, with 0 best and 2 worst)
h Sensible heat flux density
qch quality criterion for H (0 to 2, with 0 best and 2 worst)
rg Incoming solar radiation
tair Air temperature [measured using HMPC45-C, missing data gapfilled from neighbouring stations]
tsoil Soil temperature [measured using HMPC45-C, missing data gapfilled from neighbouring stations]
rh Relative humidity [measured using HMPC45-C, missing data gapfilled from neighbouring stations]
ustar friction velocity [not gapfilled]
vpd vapour pressure deficit - computed from Tair and rH
neeorig Net Ecosystem Exchange -including all data regardless of data quality
qcnee quality criterion for NEE (0 to 2, with 0 best and 2 worst)
nee f Net Ecosystem Exchange - gapfilled
nee fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
nee fwin fwin - window size used for gapfilling. 0 = original data available
nee fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999 (ie. missing value)
nee fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
nee fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
nee fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
le f Latent heat flux density - gapfilled
le fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
le fwin fwin - window size used for gapfilling. 0 = original data available
le fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999
le fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
le fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
le fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
h f Sensible heat flux density - gapfilled
h fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
h fwin fwin - window size used for gapfilling. 0 = original data available
h fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999
h fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
h fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
h fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
tair f air temperature - the same as in Tair
tair fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
tair fwin fwin - window size used for gapfilling. 0 = original data available
tair fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999
tair fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
tair fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
tair fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
rg f Incoming solar radiation - with some gaps filled but may not be all
rg fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
rg fwin fwin - window size used for gapfilling. 0 = original data available
rg fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999
rg fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
rg fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
rg fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
vpd f vapour pressure deficit (kPa) - the same as in VPD
vpd fmet fmet - method used for gapfilling. 0 = original data available, 1 = Inferred from marginal distribution of Rg, Tair, and VPD; 2 = Inferred from Rg only; 3 = Inferred from time of the day only (mean diurnal variation).
vpd fwin fwin - window size used for gapfilling. 0 = original data available
vpd fn fn - The number of values that were averaged to fill the gap. If the original data was available this is set to -9999
vpd fs fs - The standard deviation of the values that were averaged to fill the gap. If the original data was available this is set to -9999.
vpd fqc fqc - a synthetic quality assigned for gapfilling. 0 = original data available, 1 = most reliable, 2 =medium, 3=least reliable.
vpd fqcok fqcOK - A synthetic QC that is 0 when _fqc is > 1 , otherwise 1. When aggregating to daily, weekly etc. timesteps, this flag tells which fraction of the data was original or filled with most reliable data.
nee f unc Net Ecosystem Exchange - uncertainty for all data points, gapfilled and non-gapfilled
le f unc Latent Heat Flux Density - uncertainty for all data points, gapfilled and non-gapfilled
h f unc Sensible Heat Flux Density - uncertainty for all data points, gapfilled and non-gapfilled
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Data Excerpt

sample_date tower treatment description nee le qcle h qch rg tair tsoil rh ustar vpd neeorig qcnee nee_f nee_fmet nee_fwin nee_fn nee_fs nee_fqc nee_fqcok le_f le_fmet le_fwin le_fn le_fs le_fqc le_fqcok h_f h_fmet h_fwin h_fn h_fs h_fqc h_fqcok tair_f tair_fmet tair_fwin tair_fn tair_fs tair_fqc tair_fqcok rg_f rg_fmet rg_fwin rg_fn rg_fs rg_fqc rg_fqcok vpd_f vpd_fmet vpd_fwin vpd_fn vpd_fs vpd_fqc vpd_fqcok nee_f_unc le_f_unc h_f_unc
2009-01-01 05:00:00 +0000 4 L1 AGR-Corn 0.0818 3.0 3.0 3.0 0.07246 2.0 0.0 10.17739 3.0 3.0 3.0 2.25963 2.0 0.0 -16.40865 3.0 3.0 4.0 11.81468 2.0 0.0 -11.73045 3.0 1.0 2.0 0.11858 1.0 1.0 0.0 3.0 1.0 2.0 0.0 1.0 1.0 0.29478 3.0 1.0 2.0 0.00651 1.0 1.0 0.27205 12.40112 -7.97082
2009-01-01 05:00:00 +0000 5 L2 AGR-Switchgrass 0.66174 3.0 3.0 3.0 0.12028 2.0 0.0 11.26638 3.0 3.0 3.0 4.44574 2.0 0.0 -25.98714 3.0 3.0 3.0 5.41743 2.0 0.0 -6.0885 3.0 1.0 2.0 0.20662 1.0 1.0 0.0 3.0 1.0 2.0 0.0 1.0 1.0 1.66752 3.0 1.0 2.0 0.07859 1.0 1.0 0.55352 15.81367 -8.28496
2009-01-01 05:00:00 +0000 6 L3 AGR-Prairie -0.27706 3.0 3.0 3.0 0.35277 2.0 0.0 13.95055 3.0 3.0 3.0 4.42553 2.0 0.0 -22.46563 3.0 3.0 4.0 16.32549 2.0 0.0 -11.73045 3.0 1.0 2.0 0.11858 1.0 1.0 0.0 3.0 1.0 2.0 0.0 1.0 1.0 0.68267 3.0 1.0 2.0 0.03167 1.0 1.0 0.79831 15.13899 -10.29527
2009-01-01 05:00:00 +0000 3 M1 CRP-Corn 0.37362 3.0 3.0 3.0 0.20935 2.0 0.0 13.48454 3.0 3.0 3.0 2.62444 2.0 0.0 -28.44893 3.0 3.0 3.0 9.83988 2.0 0.0 -9.5592 3.0 1.0 2.0 0.14397 1.0 1.0 0.0 3.0 1.0 2.0 0.0 1.0 1.0 1.57111 3.0 1.0 2.0 0.03545 1.0 1.0 0.49305 11.56105 -16.91584
2009-01-01 05:00:00 +0000 2 M2 CRP-Prairie 0.51215 3.0 3.0 3.0 0.07101 2.0 0.0 11.90475 3.0 3.0 3.0 3.343 2.0 0.0 -17.19528 3.0 3.0 4.0 11.70731 2.0 0.0 -12.45991 3.0 1.0 2.0 0.45982 1.0 1.0 0.0 3.0 1.0 2.0 0.0 1.0 1.0 0.38524 3.0 1.0 2.0 0.0023 1.0 1.0 0.69963 11.44436 -15.26723
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