High-frequency attenuation in eddy covariance measurements from the LI-7200 IRGA with various heating and filter configurations – a spectral correction approach

• A new method to determine the cut-off frequency for flux corrections is presented. • High frequency filtering of EC data causes flux underestimation. • Use of the LI-7200 IRGA heated tube reduced filtering effects. • Filtering effects of CO 2 were small or negligible for our site and set-up. • Filtering effects of H 2 O worsen with increasing relative humidity. The use of (en)closed-path Infrared Gas Analysers (IRGA) in the measurement of Eddy Covariance (EC) fluxes results in inadvertent high-frequency tube attenuation due to diffusion and mixing of sampled gas inside the tube. The application of tube heating and installation of particulate filters along the tube length also contributes to high-frequency attenuation. The goal of this research is first, to quantify the attenuation effects of different tube heating and filter configurations on CO 2 and H 2 O fluxes. And second, to present a modified power spectral approach (PSA) based on theoretical power spectra to calculate the effective cut-off frequency fc . Measurements for each experimental configuration were performed at an Integrated Carbon Observation System (ICOS) station equipped with the standard LI-7200 enclosed-path IRGA and Gill HS-50 3D sonic anemometer. Correction factors for each dataset were determined and implemented in post-processing. We found only very small attenuation effects of CO 2 fluxes between the examined configurations. In agreement with previous studies, we found attenuation worsens with increasing relative humidity rH , in the fluxes of H 2 O. As expected, the highest (best) f c for H 2 O was found in the lowest examined rH class of 45-50 % with the configuration of heating on, no filter. The lowest (worst) f c for H 2 O was in the highest rH class of 90-95 % with the configuration of heating off with the 7 μm filter. Our results confirm that tube attenuation effects for the standard ICOS setup are negligible for CO 2 and small for H 2 O, depending on tube heating settings and use of particulate filters. We also show that the post-processing of attenuation effects, especially for H 2 O, could improve the accuracy of long-term EC measurements. We recommend that this novel approach be considered by users of datasets collected with the LI-7200 enclosed-path IRGA.

Authors

Institutions

Publication Details

Journal
Agricultural and Forest Meteorology
Published
2024-11-20
DOI
https://doi.org/10.1016/j.agrformet.2024.110312
Citations
2
Primary Topic
Plant Water Relations and Carbon Dynamics
Type
article
Field-Weighted Citation Impact
0.57
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-frequency attenuation in eddy covariance measurements from the LI-7200 IRGA with various heating and filter configurations – a spectral correction approach

Andreas Ibrom, Matthias Mauder, J. T. de Smidt, HaPe Schmid et al.
2 citations
Agricultural and Forest Meteorology
Plant Water Relations and Carbon Dynamics
0.57
article

High-frequency attenuation in eddy covariance measurements from the LI-7200 IRGA with various heating and filter configurations – a spectral correction approach

Andreas Ibrom, Matthias Mauder, J. T. de Smidt, HaPe Schmid, Luise Wanner
article en
2 citations

Abstract

• A new method to determine the cut-off frequency for flux corrections is presented. • High frequency filtering of EC data causes flux underestimation. • Use of the LI-7200 IRGA heated tube reduced filtering effects. • Filtering effects of CO 2 were small or negligible for our site and set-up. • Filtering effects of H 2 O worsen with increasing relative humidity. The use of (en)closed-path Infrared Gas Analysers (IRGA) in the measurement of Eddy Covariance (EC) fluxes results in inadvertent high-frequency tube attenuation due to diffusion and mixing of sampled gas inside the tube. The application of tube heating and installation of particulate filters along the tube length also contributes to high-frequency attenuation. The goal of this research is first, to quantify the attenuation effects of different tube heating and filter configurations on CO 2 and H 2 O fluxes. And second, to present a modified power spectral approach (PSA) based on theoretical power spectra to calculate the effective cut-off frequency fc . Measurements for each experimental configuration were performed at an Integrated Carbon Observation System (ICOS) station equipped with the standard LI-7200 enclosed-path IRGA and Gill HS-50 3D sonic anemometer. Correction factors for each dataset were determined and implemented in post-processing. We found only very small attenuation effects of CO 2 fluxes between the examined configurations. In agreement with previous studies, we found attenuation worsens with increasing relative humidity rH , in the fluxes of H 2 O. As expected, the highest (best) f c for H 2 O was found in the lowest examined rH class of 45-50 % with the configuration of heating on, no filter. The lowest (worst) f c for H 2 O was in the highest rH class of 90-95 % with the configuration of heating off with the 7 μm filter. Our results confirm that tube attenuation effects for the standard ICOS setup are negligible for CO 2 and small for H 2 O, depending on tube heating settings and use of particulate filters. We also show that the post-processing of attenuation effects, especially for H 2 O, could improve the accuracy of long-term EC measurements. We recommend that this novel approach be considered by users of datasets collected with the LI-7200 enclosed-path IRGA.

Agricultural and Forest MeteorologyVol. 361
Karlsruhe Institute of Technology (DE), Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences (DE), Technische Universität Dresden (DE), Technical University of Denmark (DK)
Affordable and clean energy
Openalex Percentile: Top 32%
Plant Water Relations and Carbon Dynamics
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.