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| 001 | 1033844 | ||
| 005 | 20241212210727.0 | ||
| 024 | 7 | _ | |a 10.34734/FZJ-2024-06685 |2 datacite_doi |
| 037 | _ | _ | |a FZJ-2024-06685 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Graf, Alexander |0 P:(DE-Juel1)129461 |b 0 |e Corresponding author |u fzj |
| 111 | 2 | _ | |a ICOS Science conference 2024 |c Versailles |d 2024-09-10 - 2024-09-12 |w France |
| 245 | _ | _ | |a Looking beyond our Eddy-Covariance backyard – vertical profiles at ecosystem stations |
| 260 | _ | _ | |c 2024 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a CONFERENCE_POSTER |2 ORCID |
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| 520 | _ | _ | |a The well-equipped eddy-covariance (EC) stations of the ICOS ecosystem network are ideal testbeds for tentatively measuring or estimating additional variables relevant to monitoring or modelling global change. A common limitation of a standard EC station is the confinement of most variables to the EC measurement height, which is typically limited by factors such as footprint size, the need to avoid the roughness sublayer, and tower construction costs. Few (mostly forest) stations provide some measurements below this height, and almost none offer measurements above it. Here, we present past and ongoing efforts to close these gaps.For scalars and wind below the EC height, we developed a profiling system, that mitigates calibration issues and sensor costs by moving sensors and tubes within crop canopies and their roughness sublayer. The original system for CO2, H2O, wind and temperature, which moves up and down continuously at one location, is currently being replaced by a robot-arm based system to enhance flexibility in movement speed and horizontal measurement locations.For scalars above the EC height, we demonstrated in previous research that the potential temperature of the well-mixed part of the convective planetary boundary layer can be estimated from turbulence data measured by the EC equipment. We present first steps to extend this approach to CO2. Ultimately, we aim at testing the feasibility of this and other ‘virtual tall tower’ concepts for infrastructures such as ICOS. In case of a positive evaluation, spatial data density could be dramatically increased helping to verify atmospheric inverse modelling estimates. |
| 536 | _ | _ | |a 2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217) |0 G:(DE-HGF)POF4-2173 |c POF4-217 |f POF IV |x 0 |
| 536 | _ | _ | |a IDAS-GHG - Weiterentwicklung und Vergleich von Methoden zur instrumentellen und analytischen Komponentenzerlegung gemessener Treibhausgasflüsse (01LN1313A) |0 G:(BMBF)01LN1313A |c 01LN1313A |x 1 |
| 700 | 1 | _ | |a Marcon, Lediane |0 P:(DE-Juel1)204175 |b 1 |u fzj |
| 700 | 1 | _ | |a Schmidt, Marius |0 P:(DE-Juel1)144420 |b 2 |u fzj |
| 700 | 1 | _ | |a Kubistin, Dagmar |0 P:(DE-HGF)0 |b 3 |
| 700 | 1 | _ | |a Lindauer, Matthias |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Müller-Williams, Jennifer |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Ney, Patrizia |0 P:(DE-Juel1)180909 |b 6 |u fzj |
| 700 | 1 | _ | |a Klosterhalfen, Anne |0 P:(DE-Juel1)159313 |b 7 |
| 700 | 1 | _ | |a Brümmer, Christian |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Vila, Jordi |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Peichl, Matthias |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Vereecken, Harry |0 P:(DE-Juel1)129549 |b 11 |u fzj |
| 856 | 4 | _ | |u https://www.icos-cp.eu/news-and-events/science-conference/icos2024sc/programme |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1033844/files/ICOSSC24_graf_poster331.pdf |y OpenAccess |
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