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 December 2012
Dataset: GLBRC084
Datatable ID: GLBRC084-003.21
Related Tables:
Personnel:
Last Updated 2017-01-26
Variate Description Units
sample date sample date
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

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 05:30:00+00 3 M1 CRP-Corn -9999 -9999 2 -9999 2 -9999 -9.661 0.4253 47.34 -9999 1.54604 -9999 1 0.32019 3 3 4 0.20158 2 0 13.6616 3 3 4 2.17192 2 0 -25.1287 3 3 4 10.4233 2 0 -9.661 0 0 -9999 -9999 0 1 -9999 0 0 -9999 -9999 4 0 1.54604 0 0 -9999 -9999 0 1 0.47459 13.5119 -17.5252
2009-01-01 06:00:00+00 3 M1 CRP-Corn -9999 -9999 2 -9999 2 -9999 -9.4574 0.4197 46.5 -9999 1.59618 -9999 1 0.28957 3 3 5 0.18753 2 0 13.2711 3 3 5 2.07375 2 0 -23.1972 3 3 5 10.0068 2 0 -9.4574 0 0 -9999 -9999 0 1 -9999 0 0 -9999 -9999 4 0 1.59618 0 0 -9999 -9999 0 1 0.59209 23.3267 -16.1659
2009-01-01 06:30:00+00 3 M1 CRP-Corn -9999 -9999 2 -9999 2 -9999 -9.4862 0.4158 48.27 -9999 1.53986 -9999 1 0.21961 3 3 5 0.13062 2 0 13.001 3 3 5 2.02221 2 0 -21.1776 3 3 5 10.1281 2 0 -9.4862 0 0 -9999 -9999 0 1 -9999 0 0 -9999 -9999 4 0 1.53986 0 0 -9999 -9999 0 1 0.12417 22.6597 -15.9244
2009-01-01 07:00:00+00 3 M1 CRP-Corn -9999 -9999 2 -9999 2 -9999 -9.1659 0.4252 48.53 -9999 1.57131 -9999 1 0.17396 3 3 5 0.0322 2 0 12.9522 3 3 5 2.09626 2 0 -16.3717 3 3 5 1.90008 2 0 -9.1659 0 0 -9999 -9999 0 1 -9999 0 0 -9999 -9999 4 0 1.57131 0 0 -9999 -9999 0 1 0.05029 21.6169 -12.6982
2009-01-01 07:30:00+00 3 M1 CRP-Corn -9999 -9999 2 -9999 2 -9999 -8.7464 0.4319 46.24 -9999 1.69624 -9999 1 0.22805 3 3 5 0.10295 2 0 11.7941 3 3 5 1.74865 2 0 -16.4835 3 3 5 2.13687 2 0 -8.7464 0 0 -9999 -9999 0 1 -9999 0 0 -9999 -9999 4 0 1.69624 0 0 -9999 -9999 0 1 0.30831 20.5116 -12.3469
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