TY  - CONF
AU  - Graf, Alexander
AU  - Marcon, Lediane
AU  - Schmidt, Marius
AU  - Kubistin, Dagmar
AU  - Lindauer, Matthias
AU  - Müller-Williams, Jennifer
AU  - Ney, Patrizia
AU  - Klosterhalfen, Anne
AU  - Brümmer, Christian
AU  - Vila, Jordi
AU  - Peichl, Matthias
AU  - Vereecken, Harry
TI  - Looking beyond our Eddy-Covariance backyard – vertical profiles at ecosystem stations
M1  - FZJ-2024-06685
PY  - 2024
AB  - 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.
T2  - ICOS Science conference 2024
CY  - 10 Sep 2024 - 12 Sep 2024, Versailles (France)
Y2  - 10 Sep 2024 - 12 Sep 2024
M2  - Versailles, France
LB  - PUB:(DE-HGF)24
DO  - DOI:10.34734/FZJ-2024-06685
UR  - https://juser.fz-juelich.de/record/1033844
ER  -