GLBRC Sustainability Data Catalog

CO2 Net Ecosystem Exchange using Eddy Covariance

Gap-filled net ecosystem exchange data from the University of Toledo Eddy Covariance towers. The data here include the original data and the gap filled data.

Gap filling is done using the web application at:
http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/ .
This link helps describe some of the output variables:
http://www.bgc-jena.mpg.de/~MDIwork/eddyproc/output.php

This datatable is part of the 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: GLBRC084
Datatable ID: GLBRC084-003.203
Related Tables:
Personnel:
Last Updated 2018-10-12
Variate Description Units
sample date sample date and time at the start of the half hour measurement.
tower tower identifier
treatment
description
nee Net Ecosystem Exchange -high quality data only, only data with QC rating of 0 micromole/metersquared/second
le Latent heat flux density watts/squaremeter
qcle quality criterion for LE (0 to 2, with 0 best and 2 worst)
h Sensible heat flux density watts/squaremeter
qch quality criterion for H (0 to 2, with 0 best and 2 worst)
rg Incoming solar radiation watts/squaremeter
tair Air temperature [measured using HMPC45-C, missing data gapfilled from neighbouring stations] celsius
tsoil Soil temperature [measured using 107 soil temperature probe, missing data gapfilled from neighbouring stations] celsius
rh Relative humidity [measured using HMPC45-C, missing data gapfilled from neighbouring stations] %
ustar friction velocity [not gapfilled] meters/second
vpd vapour pressure deficit - computed from Tair and rH hectopascal
neeorig Net Ecosystem Exchange -including all data regardless of data quality micromole/metersquared/second
qcnee quality criterion for NEE (0 to 2, with 0 best and 2 worst)
nee f Net Ecosystem Exchange - gapfilled micromole/metersquared/second
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 day
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
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. micromole/metersquared/second
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 watts/squaremeter
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 day
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. watts/squaremeter
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 watts/squaremeter
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 day
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. watts/squaremeter
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 celsius
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 day
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. celsius
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 watts/squaremeter
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 day
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. watts/squaremeter
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 hectopascal
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 day
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. hectopascal
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 micromole/metersquared/second
le f unc Latent Heat Flux Density - uncertainty for all data points, gapfilled and non-gapfilled watts/squaremeter
h f unc Sensible Heat Flux Density - uncertainty for all data points, gapfilled and non-gapfilled watts/squaremeter
nee rgaps to be filled
le rgaps to be filled
h rgaps to be filled
tair rgaps to be filled
rg rgaps to be filled
vpd rgaps to be filled
rg rgaps f to be filled
rg rgaps fmet to be filled
rg rgaps fwin to be filled
rg rgaps fn to be filled
rg rgaps fs to be filled
rg rgaps fqc to be filled
rg rgas fqcok to be filled
tair rgaps f to be filled
tair rgaps fmet to be filled
tair rgaps fwin to be filled
tair rgaps fn to be filled
tair rgaps fs to be filled
tair rgaps fqc to be filled
tair rgaps fqcok to be filled
vpd rgaps f to be filled
vpd rgaps fmet to be filled
vpd rgaps fwin to be filled
vpd rgaps fn to be filled
vpd rgaps fs to be filled
vpd rgaps fqc to be filled
vpd rgaps f to be filled
nee rgaps f to be filled
nee rgaps fmet to be filled
nee rgaps fwin to be filled
nee rgaps fn to be filled
nee rgaps fs to be filled
nee rgaps fqc to be filled
nee rgaps fqcok to be filled
le rgaps f to be filled
le rgaps fmet to be filled
le rgaps fwin to be filled
le rgaps fn to be filled
le rgaps fs to be filled
le rgaps fqc to be filled
le rgaps fqcok to be filled
h rgaps f to be filled
h rgaps fmet to be filled
h rgaps fwin to be filled
h rgaps fn to be filled
h rgaps fs to be filled
h rgaps fqc to be filled
h rgaps fqcok to be filled
nee fmet unc to be filled
nee fwin unc to be filled
nee fn unc to be filled
nee fs unc to be filled
nee fqc unc to be filled
nee fqcok unc to be filled
nee fsrob unc to be filled
nee fmed unc to be filled
le fmet unc to be filled
le fwin unc to be filled
le fn unc to be filled
le fs unc to be filled
le fqc unc to be filled
le fsrob unc to be filled
le fmed unc to be filled
h fmet unc to be filled
h fwin unc to be filled
h fn unc to be filled
h fs unc to be filled
h fqc unc to be filled
h fqcok unc to be filled
h fsrob unc to be filled
h fmed unc to be filled
neenight to be filled
e0 2 from tair to be filled
rrefopt orde0 2 from to be filled
reco to be filled
gpp f to be filled
gpp fqc to be filled
gpp fmet to be filled
gpp fwin to be filled

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 nee_rgaps le_rgaps h_rgaps tair_rgaps rg_rgaps vpd_rgaps rg_rgaps_f rg_rgaps_fmet rg_rgaps_fwin rg_rgaps_fn rg_rgaps_fs rg_rgaps_fqc rg_rgaps_fqcok tair_rgaps_f tair_rgaps_fmet tair_rgaps_fwin tair_rgaps_fn tair_rgaps_fs tair_rgaps_fqc tair_rgaps_fqcok vpd_rgaps_f vpd_rgaps_fmet vpd_rgaps_fwin vpd_rgaps_fn vpd_rgaps_fs vpd_rgaps_fqc vpd_rgaps_f nee_rgaps_f nee_rgaps_fmet nee_rgaps_fwin nee_rgaps_fn nee_rgaps_fs nee_rgaps_fqc nee_rgaps_fqcok le_rgaps_f le_rgaps_fmet le_rgaps_fwin le_rgaps_fn le_rgaps_fs le_rgaps_fqc le_rgaps_fqcok h_rgaps_f h_rgaps_fmet h_rgaps_fwin h_rgaps_fn h_rgaps_fs h_rgaps_fqc h_rgaps_fqcok nee_fmet_unc nee_fwin_unc nee_fn_unc nee_fs_unc nee_fqc_unc nee_fqcok_unc nee_fsrob_unc nee_fmed_unc le_fmet_unc le_fwin_unc le_fn_unc le_fs_unc le_fqc_unc le_fqcok_unc le_fsrob_unc le_fmed_unc h_fmet_unc h_fwin_unc h_fn_unc h_fs_unc h_fqc_unc h_fqcok_unc h_fsrob_unc h_fmed_unc neenight e0_2_from_tair rrefopt_orde0_2_from reco gpp_f gpp_fqc gpp_fmet gpp_fwin
2009-01-01 05:00:00+00 4 L1 AGR-Corn 0.0818 3 3 3 0.07246 2 0 10.1774 3 3 3 2.25963 2 0 -16.4086 3 3 4 11.8147 2 0 -11.7304 3 1 2 0.11858 1 1 0 3 1 2 0 1 1 0.29478 3 1 2 0.00651 1 1 0.27205 12.4011 -7.97082 0 3 1 2 0 1 1 -11.7304 3 1 2 0.11858 1 1 0.29478 3 1 2 0.00651 1 0.29478 0.10473 3 3 2 0.08571 2 0 10.3515 3 3 2 3.16701 2 0 -11.9409 3 3 3 9.46661 2 0 3 14 10 0.352 3 0 0.11998 0.17367 3 14 13 11.4496 3 0 10.8884 12.5909 3 14 14 10.2735 3 0 10.9824 -5.31651 176.701 0.38446 0.04022 -0.04158 2 3 3
2009-01-01 05:00:00+00 5 L2 AGR-Switchgrass 0.66174 3 3 3 0.12028 2 0 11.2664 3 3 3 4.44574 2 0 -25.9871 3 3 3 5.41743 2 0 -6.0885 3 1 2 0.20662 1 1 0 3 1 2 0 1 1 1.66752 3 1 2 0.07859 1 1 0.55352 15.8137 -8.28496 0 3 1 2 0 1 1 -6.0885 3 1 2 0.20662 1 1 1.66752 3 1 2 0.07859 1 1.66752 0.59806 3 3 2 0.06784 2 0 11.4227 3 3 2 6.27555 2 0 -25.4391 3 3 2 7.54289 2 0 3 14 10 0.38342 3 0 0.42885 0.56434 3 14 12 12.7547 3 0 11.1186 16.4689 3 14 12 12.4743 3 0 10.4643 -4.3805 101.921 0.49143 0.20341 -0.45833 2 3 3
2009-01-01 05:00:00+00 6 L3 AGR-Prairie -0.27706 3 3 3 0.35277 2 0 13.9506 3 3 3 4.42553 2 0 -22.4656 3 3 4 16.3255 2 0 -11.7304 3 1 2 0.11858 1 1 0 3 1 2 0 1 1 0.68267 3 1 2 0.03167 1 1 0.79831 15.139 -10.2953 0 3 1 2 0 1 1 -11.7304 3 1 2 0.11858 1 1 0.68267 3 1 2 0.03167 1 0.68267 4.24654 3 7 2 5.9799 3 0 30.2954 3 7 2 1.23104 3 0 -0.02388 3 7 3 1.41604 3 0 3 14 10 2.72219 3 0 0.42289 -0.0732 3 14 12 10.8807 3 0 8.39462 11.6469 3 14 13 13.4159 3 0 4.84197 -1.21884 196.116 0.29999 0.02449 0.30155 2 3 3
2009-01-01 05:00:00+00 3 M1 CRP-Corn 0.37362 3 3 3 0.20935 2 0 13.4845 3 3 3 2.62444 2 0 -28.4489 3 3 3 9.83988 2 0 -9.5592 3 1 2 0.14397 1 1 0 3 1 2 0 1 1 1.57111 3 1 2 0.03545 1 1 0.49305 11.5611 -16.9158 0 3 1 2 0 1 1 -9.5592 3 1 2 0.14397 1 1 1.57111 3 1 2 0.03545 1 1.57111 0.37362 3 3 3 0.20935 2 0 13.4845 3 3 3 2.62444 2 0 -28.4489 3 3 3 9.83988 2 0 3 14 10 0.92345 3 0 0.40822 0.71881 3 14 12 12.3461 3 0 12.9439 9.64372 3 14 13 19.8074 3 0 6.35518 -2.9632 77.6032 1.07375 0.4559 0.08229 2 3 3
2009-01-01 05:00:00+00 2 M2 CRP-Prairie 0.51215 3 3 3 0.07101 2 0 11.9047 3 3 3 3.343 2 0 -17.1953 3 3 4 11.7073 2 0 -12.4599 3 1 2 0.45982 1 1 0 3 1 2 0 1 1 0.38524 3 1 2 0.0023 1 1 0.69963 11.4444 -15.2672 0 3 1 2 0 1 1 -12.4599 3 1 2 0.45982 1 1 0.38524 3 1 2 0.0023 1 0.38524 0.49239 3 3 2 0.088 2 0 10.4052 3 3 2 2.97658 2 0 -16.2994 3 3 3 14.1695 2 0 3 14 13 0.6612 3 0 0.35748 0.49532 3 14 13 12.8361 3 0 6.04668 5.11551 3 14 14 17.0158 3 0 14.4809 -9.58267 125.445 2.03086 0.3777 -0.13445 2 3 3
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