dc.contributor.author
Wiekenkamp, Inge
dc.contributor.author
Lehmann, Anna Katharina
dc.contributor.author
Bütow, Alexander
dc.contributor.author
Hartmann, Jörg
dc.contributor.author
Metzger, Stefan
dc.contributor.author
Ruhtz, Thomas
dc.contributor.author
Wille, Christian
dc.contributor.author
Zöllner, Mathias
dc.contributor.author
Sachs, Torsten
dc.date.accessioned
2025-02-13T07:39:35Z
dc.date.available
2025-02-13T07:39:35Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/46575
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-46289
dc.description.abstract
Airborne eddy covariance measurements can bridge the gap between local (tower-based) and regional (satellite/inversion-derived) flux data, as they provide information about the spatial distribution of turbulent fluxes for larger regions. Here, we introduce an airborne eddy covariance measurement platform based on an ASK-16 touring motor glider (TMG; also referred to as a power glider, hereafter referred to as motorized glider), which is equipped to measure the three-dimensional (3D) wind vector, and atmospheric conditions, and we derive airborne turbulent fluxes for the use of measurement campaigns over European landscapes. This study describes the measurement setup of the platform and explains the workflows that were used to calculate and calibrate the 3D wind vector, turbulent fluxes, and their associated source areas. The glider is equipped with an 858 AJ Rosemount five-hole probe, a Picarro G2311-f gas analyzer, a Novatel FlexPak G2-V2 GNSS–INS system, Vaisala temperature and humidity sensors (HMT311), and an OMEGA CHAL-003 thermocouple temperature sensor. Measurement data are processed with PyWingpod (Python) and eddy4R (R) software packages to calculate wind vectors and turbulent fluxes and assign footprints to the calculated fluxes. To evaluate the quality of the obtained fluxes, different quality assessments have been performed, including the determination of detection limits, spectral analysis, stationarity tests, the analysis of integral turbulence characteristics, and measurement noise and error evaluation. The uncertainty of wis between 0.15 and 0.27 m s −1 (median =0.23 m s −1 ), and the uncertainty of uand vranges between 0.16 and 0.55 m s −1 (median =0.25 m s −1 ). Analysis of exemplary flux data from flight transects indicates that the platform is capable of producing spatially highly resolved turbulent fluxes over heterogeneous landscapes. Overall, results from our analysis suggest that the ASK-16 airborne platform can measure turbulent fluxes with a similar quality to earlier established high-quality platforms.
en
dc.format.extent
24 Seiten
dc.rights
This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
ASK-16 motorized glider
en
dc.subject
airborne eddy covariance platform
en
dc.subject
measurements
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::550 Geowissenschaften, Geologie::550 Geowissenschaften
dc.title
The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes
dc.type
Wissenschaftlicher Artikel
dc.date.updated
2025-02-12T03:46:27Z
dcterms.bibliographicCitation.doi
10.5194/amt-18-749-2025
dcterms.bibliographicCitation.journaltitle
Atmospheric Measurement Techniques
dcterms.bibliographicCitation.number
3
dcterms.bibliographicCitation.pagestart
749
dcterms.bibliographicCitation.pageend
772
dcterms.bibliographicCitation.volume
18
dcterms.bibliographicCitation.url
https://doi.org/10.5194/amt-18-749-2025
refubium.affiliation
Geowissenschaften
refubium.affiliation.other
Institut für Meteorologie

refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1867-8548
refubium.resourceType.provider
DeepGreen