uid=KBS,o=lter,dc=ecoinformatics,dc=orgalluid=sbohm,o=lter,dc=ecoinformatics,dc=orgallpublicreadhttps://lter.kbs.msu.edu/datasets/92.emlCO2 Net Ecosystem Exchange using Eddy Covariance method at the Kellogg Biological Station, Hickory Corners, MI (2009 to 2015)JiquanChenMichigan State University1405 S. Harrison Road, Manly Miles Building, Room 218East LansingMichigan48823US(517) 353-2932(517) 884-1884jqchen@msu.edu0000-0003-0761-9458TerenzioZenoneMichigan State UniversityHickory Corners48060terenzio.zenone@uantwerpen.beTerenzioZenoneMichigan State UniversityHickory Corners48060terenzio.zenone@uantwerpen.beprincipal contactMichaelAbrahaMichigan State UniversityHickory CornersMichiganUSabraha@msu.edu0000-0001-8952-9477principal contact2026-06-07Dataset Abstractoriginal data source http://lter.kbs.msu.edu/datasets/92LTERKBSKellogg Biological StationHickory CornersMichiganGreat Lakescarbondioxidecarbon dioxide gas flux eddy covariancefarmingbiotahttps://apps.usgs.gov/thesaurus/thesaurus-full.php?thcode=15Data in the KBS LTER core database may not be published without written permission of the lead investigator or project director. These restrictions are intended mainly to preserve the primary investigators' rights to first publication and to ensure that data users are aware of the limitations that may be associated with any specific data set. These restrictions apply to both the baseline data set and to the data sets associated with specific LTER-supported subprojects.All publications of KBS data and images must acknowledge KBS LTER support.The areas around the Kellogg Biological Station in southwest Michigan-85.404699-85.36685742.42026542.3910192009-01-012015-01-01Kellogg Biological StationData Managerlter.data.manager@kbs.msu.eduhttp://lter.kbs.msu.edu02vkce854KBS LTERhttps://lter.kbs.msu.edu/datatables/418Kellogg Biological Station LTER: CO2 Net Ecosystem Exchange using Eddy Covariance (GLBRC084-003)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.phpCO2+Net+Ecosystem+Exchange+using+Edy+Covariance.csvNone1601\ncolumn,no"\https://data.sustainability.glbrc.org/datatables/418.csvsample_datesample date and time at the start of the half hour measurement.YYYY-MM-DD11987-4-18towertower identifiertower identifierneeNet Ecosystem Exchange -high quality data only, only data with QC rating of 0 micromolePerMeterSquaredPerSecondrealleLatent heat flux densitywattsPerSquareMeterrealqclequality criterion for LE (0 to 2, with 0 best and 2 worst)quality criterion for LE (0 to 2, with 0 best and 2 worst)hSensible heat flux densitywattsPerSquareMeterrealqchquality criterion for H (0 to 2, with 0 best and 2 worst)quality criterion for H (0 to 2, with 0 best and 2 worst)rgIncoming solar radiationwattsPerSquareMeterrealtairAir temperature [measured using HMPC45-C, missing data gapfilled from neighbouring stations]celsiusrealtsoilSoil temperature [measured using 107 soil temperature probe, missing data gapfilled from neighbouring stations]celsiusrealrhRelative humidity [measured using HMPC45-C, missing data gapfilled from neighbouring stations]pascalPerHectoPascalrealustarfriction velocity [not gapfilled]metersPerSecondrealvpdvapour pressure deficit - computed from Tair and rHhectoPascalrealneeorigNet Ecosystem Exchange -including all data regardless of data qualitymicromolePerMeterSquaredPerSecondrealqcneequality criterion for NEE (0 to 2, with 0 best and 2 worst)quality criterion for NEE (0 to 2, with 0 best and 2 worst)nee_fNet Ecosystem Exchange - gapfilledmicromolePerMeterSquaredPerSecondrealnee_fmetfmet - 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). 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_fwinfwin - window size used for gapfilling. 0 = original data availablefwin - window size used for gapfilling. 0 = original data availablenee_rgapsrandom gap filled NEEmicromolePerMeterSquaredPerSecondrealle_rgapsrandom gap filled latent heat flux densitywattsPerSquareMeterrealrg_rgapsrandom gap filled incoming solar radiationwattsPerSquareMeterrealhttps://lter.kbs.msu.edu/datatables/419Kellogg Biological Station LTER: Radiation Data collected at the Eddy Covariance Towers (GLBRC084-004)Radiation+Data+colected+at+the+Edy+Covariance+Towers.csvNone301\ncolumn,no"\https://data.sustainability.glbrc.org/datatables/419.csvsample_datedate and time measurement was madeYYYY-MM-DD11987-4-18towertower identifierintegertreatmentexperimental treatmentexperimental treatmentdescriptiontreatment descriptiontreatment descriptionrshort_inincoming shortwave radiationwattsPerSquareMeterrealrshort_outout going (reflected) shortwave radiationwattsPerSquareMeterrealrlong_inincoming long wave radiationwattsPerSquareMeterrealrlong_outoutgoing (emitted) long wave radiationwattsPerSquareMeterrealr_netnet long wave radiation = rshort_in - rshort_out + rlong_in - rlong_outwattsPerSquareMeterrealmean_pressmean atmospheric pressurekilopascalrealmean_tsmean sonic temperaturecelsiusreal@article{citation_4210,
author = {Grant Falvo and Yao Zhang and Michael Abraha and Samantha Mosier and Yahn-Jauh Su and Cheyenne Lei and Jiquan Chen and M Francesca Cotrufo and G Philip Robertson},
title = {Combining eddy covariance towers, field measurements, and the MEMS 2 ecosystem model improves confidence in the climate impacts of bioenergy with carbon capture and storage},
year = {2025},
journal = {Global Change Biology Bioenergy},
pages = {e70023},
volume = {17},
number = {3},
doi = {10.1111/gcbb.70023}
}