Articles | Volume 9, issue 3
https://doi.org/10.5194/amt-9-1341-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-1341-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
31 Mar 2016
Research article |
| 31 Mar 2016
Optimization of an enclosed gas analyzer sampling system for measuring eddy covariance fluxes of H2O and CO2
National Ecological Observatory Network, Fundamental Instrument
Unit, Boulder, Colorado, USA
University of
Colorado, Institute for Arctic and Alpine Research, Boulder, Colorado, USA
George Burba
LI-COR Biosciences, Research and Development, Environmental
Division, Lincoln, Nebraska, USA
Sean P. Burns
University of Colorado,
Department of Geography, Boulder, Colorado, USA
National Center
for Atmospheric Research, Mesoscale and Microscale Meteorology Laboratory,
Boulder, Colorado, USA
Peter D. Blanken
University of Colorado,
Department of Geography, Boulder, Colorado, USA
Jiahong Li
LI-COR Biosciences, Research and Development, Environmental
Division, Lincoln, Nebraska, USA
Hongyan Luo
National Ecological Observatory Network, Fundamental Instrument
Unit, Boulder, Colorado, USA
University of
Colorado, Institute for Arctic and Alpine Research, Boulder, Colorado, USA
Rommel C. Zulueta
National Ecological Observatory Network, Fundamental Instrument
Unit, Boulder, Colorado, USA
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Cited
14 citations as recorded by crossref.
- Contactless optical hygrometry in LACIS-T J. Nowak et al. 10.5194/amt-15-4075-2022
- Comparison of gas analyzers for eddy covariance: Effects of analyzer type and spectral corrections on fluxes P. Polonik et al. 10.1016/j.agrformet.2019.02.010
- The high-frequency response correction of eddy covariance fluxes – Part 1: An experimental approach and its interdependence with the time-lag estimation O. Peltola et al. 10.5194/amt-14-5071-2021
- The breathing of the Andean highlands: Net ecosystem exchange and evapotranspiration over the páramo of southern Ecuador G. Carrillo-Rojas et al. 10.1016/j.agrformet.2018.11.006
- Dimensioning IRGA gas sampling systems: laboratory and field experiments M. Aubinet et al. 10.5194/amt-9-1361-2016
- The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keeping S. Burns et al. 10.5194/gi-5-451-2016
- eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5 S. Metzger et al. 10.5194/gmd-10-3189-2017
- Comparison of Lyman-alpha and LI-COR infrared hygrometers for airborne measurement of turbulent fluctuations of water vapour A. Lampert et al. 10.5194/amt-11-2523-2018
- From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online S. Metzger et al. 10.1175/BAMS-D-17-0307.1
- Eddy covariance flux errors due to random and systematic timing errors during data acquisition G. Fratini et al. 10.5194/bg-15-5473-2018
- Examining indicators and methods for quantifying ozone exposure to vegetation H. Mao et al. 10.1016/j.atmosenv.2023.120195
- Quantifying the uncertainty of eddy covariance fluxes due to the use of different software packages and combinations of processing steps in two contrasting ecosystems I. Mammarella et al. 10.5194/amt-9-4915-2016
- Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry J. van Ramshorst et al. 10.5194/amt-17-6047-2024
- Surface-Energy-Balance Closure over Land: A Review M. Mauder et al. 10.1007/s10546-020-00529-6
13 citations as recorded by crossref.
- Contactless optical hygrometry in LACIS-T J. Nowak et al. 10.5194/amt-15-4075-2022
- Comparison of gas analyzers for eddy covariance: Effects of analyzer type and spectral corrections on fluxes P. Polonik et al. 10.1016/j.agrformet.2019.02.010
- The high-frequency response correction of eddy covariance fluxes – Part 1: An experimental approach and its interdependence with the time-lag estimation O. Peltola et al. 10.5194/amt-14-5071-2021
- The breathing of the Andean highlands: Net ecosystem exchange and evapotranspiration over the páramo of southern Ecuador G. Carrillo-Rojas et al. 10.1016/j.agrformet.2018.11.006
- Dimensioning IRGA gas sampling systems: laboratory and field experiments M. Aubinet et al. 10.5194/amt-9-1361-2016
- The Niwot Ridge Subalpine Forest US-NR1 AmeriFlux site – Part 1: Data acquisition and site record-keeping S. Burns et al. 10.5194/gi-5-451-2016
- eddy4R 0.2.0: a DevOps model for community-extensible processing and analysis of eddy-covariance data based on R, Git, Docker, and HDF5 S. Metzger et al. 10.5194/gmd-10-3189-2017
- Comparison of Lyman-alpha and LI-COR infrared hygrometers for airborne measurement of turbulent fluctuations of water vapour A. Lampert et al. 10.5194/amt-11-2523-2018
- From NEON Field Sites to Data Portal: A Community Resource for Surface–Atmosphere Research Comes Online S. Metzger et al. 10.1175/BAMS-D-17-0307.1
- Eddy covariance flux errors due to random and systematic timing errors during data acquisition G. Fratini et al. 10.5194/bg-15-5473-2018
- Examining indicators and methods for quantifying ozone exposure to vegetation H. Mao et al. 10.1016/j.atmosenv.2023.120195
- Quantifying the uncertainty of eddy covariance fluxes due to the use of different software packages and combinations of processing steps in two contrasting ecosystems I. Mammarella et al. 10.5194/amt-9-4915-2016
- Lower-cost eddy covariance for CO2 and H2O fluxes over grassland and agroforestry J. van Ramshorst et al. 10.5194/amt-17-6047-2024
1 citations as recorded by crossref.
Saved (preprint)
Discussed (final revised paper)
Latest update: 21 Nov 2024
Short summary
Enclosed infrared gas analyzers utilize a gas sampling system, which can substantially increase spectral corrections for eddy covariance applications. Here, we show that a requirements-based design can reduce high-frequency attenuation for H2O by ≈ 3/4, with the remaining flux correction not exceeding 3 %. The resulting gas sampling system can be used across a wide range of ecoclimates and site layouts, and enables more automated and comparable eddy covariance data processing across sites.
Enclosed infrared gas analyzers utilize a gas sampling system, which can substantially increase...
