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@ARTICLE{Ney:838684,
author = {Ney, Patrizia and Graf, Alexander},
title = {{H}igh-{R}esolution {V}ertical {P}rofile {M}easurements for
{C}arbon {D}ioxide and {W}ater {V}apour {C}oncentrations
{W}ithin and {A}bove {C}rop {C}anopies},
journal = {Boundary layer meteorology},
volume = {166},
number = {3},
issn = {0006-8314},
address = {Dordrecht [u.a.]},
publisher = {Springer Science + Business Media B.V},
reportid = {FZJ-2017-07250},
pages = {449–473},
year = {2018},
abstract = {We present a portable elevator-based facility for measuring
CO2, water vapour, temperature and wind-speed profiles
between the soil surface and the atmospheric surface layer
above crop canopies. The end of a tube connected to a
closed-path gas analyzer is continuously moved up and down
over the profile range (in our case, approximately 2 m)
while concentrations are logged at a frequency of 20 s−1.
Using campaign measurements in winter wheat, winter barley
and a catch crop mixture (spring 2015 to autumn 2016) during
different stages of crop development and different times of
the day, we demonstrate a simple approach to correct for
time lags, and the resulting profiles of 30-min mean mole
fractions of CO2 and H2O over height increments of 0.025 m.
The profiles clearly show the effects of soil respiration
and photosynthetic carbon assimilation, varying both during
the diurnal cycle and during the growing season. Profiles of
temperature and wind speed are based on a ventilated
finewire thermocouple and a hot-wire anemometer,
respectively. Measurements over bare soil and a short plant
canopy were analyzed in the framework of Monin–Obukhov
similarity theory to check the validity of the measurements
and raw-data-processing approach. Derived fluxes of CO2,
latent and sensible heat and momentum show good agreement
with eddy-covariance measurements.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / IDAS-GHG - Instrumental and Data-driven
Approaches to Source-Partitioning of Greenhouse Gas Fluxes:
Comparison, Combination, Advancement (BMBF-01LN1313A)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-Juel1)BMBF-01LN1313A},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000425958500005},
doi = {10.1007/s10546-017-0316-4},
url = {https://juser.fz-juelich.de/record/838684},
}