<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Estimations of forests’ carbon sequestration capacity relies on proper assessment of the eddy covariance measurement mast’s footprint. Harsh winter temperatures in Estonia lead to ice formation on 3D sonic anemometer sensor heads and thus induce measurement gaps in the data. To maximise data availability, we use a smart heating algorithm to minimise ice formation on the anemometer sensor heads. Here, we studied the temperature distribution of ice formation on the measurement instruments. Three major temperature ranges were found, between 0°C and −3°C, which is the most abundant temperature range for ice formation, and two temperature regions with peaks around −10°C and −20°C. Our algorithm to prevent ice formation led to very short median heating intervals of about 25 to 30 seconds.</p>
</abstract>

Estimations of forests’ carbon sequestration capacity relies on proper assessment of the eddy covariance measurement mast’s footprint. Harsh winter temperatures in Estonia lead to ice formation on 3D sonic anemometer sensor heads and thus induce measurement gaps in the data. To maximise data availability, we use a smart heating algorithm to minimise ice formation on the anemometer sensor heads. Here, we studied the temperature distribution of ice formation on the measurement instruments. Three major temperature ranges were found, between 0°C and −3°C, which is the most abundant temperature range for ice formation, and two temperature regions with peaks around −10°C and −20°C. Our algorithm to prevent ice formation led to very short median heating intervals of about 25 to 30 seconds.

Facilitating long-term 3D sonic anemometer measurements in hemiboreal forest ecosystems

Institute of Forestry and Rural Engineering

Forestry Studies

This work is licensed under the Creative Commons Attribution 4.0 International License.

Hemiboreaalsete metsaökosüsteemide pikaajaliste mikrometeoroloogiliste mõõtmiste täiustamine

Estimations of forests’ carbon sequestration capacity relies on proper assessment of the eddy covariance measurement mast’s footprint. Harsh winter...

Facilitating long-term 3D sonic anemometer measurements in hemiboreal forest ecosystems

Article Category: Research paper

Online veröffentlicht: 04. Juni 2022

Seitenbereich: 140 - 149

Eingereicht: 30. Dez. 2021

Akzeptiert: 31. Dez. 2021

DOI: https://doi.org/10.2478/fsmu-2021-0016

Schlüsselwörter
carbon sequestration, eddy covariance, anemometer ice formation, smart heating algorithm, SMEAR Estonia

© 2021 Steffen M. Noe et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Facilitating long-term 3D sonic anemometer measurements in hemiboreal forest ecosystems

Article Category: Research paper

Online veröffentlicht: 04. Juni 2022

Seitenbereich: 140 - 149

Eingereicht: 30. Dez. 2021

Akzeptiert: 31. Dez. 2021

DOI: https://doi.org/10.2478/fsmu-2021-0016

Schlüsselwörtercarbon sequestration, eddy covariance, anemometer ice formation, smart heating algorithm, SMEAR Estonia

© 2021 Steffen M. Noe et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
carbon sequestration, eddy covariance, anemometer ice formation, smart heating algorithm, SMEAR Estonia