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@ARTICLE{Post:186437,
author = {Post, H. and Hendricks-Franssen, Harrie-Jan and Graf,
Alexander and Schmidt, M. and Vereecken, H.},
title = {{U}ncertainty analysis of eddy covariance {CO}$_{2}$ flux
measurements for different {EC} tower distances using an
extended two-tower approach},
journal = {Biogeosciences discussions},
volume = {11},
number = {8},
issn = {1810-6285},
address = {Katlenburg-Lindau [u.a.]},
publisher = {Copernicus},
reportid = {FZJ-2015-00513},
pages = {11943 - 11983},
year = {2014},
abstract = {The use of eddy covariance CO2 flux measurements in data
assimilation and other applications requires an estimate of
the random uncertainty. In previous studies, the two-tower
approach has yielded robust uncertainty estimates, but care
must be taken to meet the often competing requirements of
statistical independence (non-overlapping footprints) and
ecosystem homogeneity when choosing an appropriate tower
distance. The role of the tower distance was investigated
with help of a roving station separated between 8 m and 34
km from a permanent EC grassland station. Random uncertainty
was estimated for five separation distances with an extended
two-tower approach which removed systematic differences of
CO2 fluxes measured at two EC towers. This analysis was made
for a dataset where (i) only similar weather conditions at
the two sites were included and (ii) an unfiltered one. The
extended approach, applied to weather-filtered data for
separation distances of 95 m and 173 m gave uncertainty
estimates in best correspondence with the independent
reference method The introduced correction for systematic
flux differences considerably reduced the overestimation of
the two-tower based uncertainty of net CO2 flux
measurements, e.g. caused by different environmental
conditions at both EC towers. It is concluded that the
extension of the two-tower approach can help to receive more
reliable uncertainty estimates because systematic
differences of measured CO2 fluxes which are not part of
random error are filtered out.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {246 - Modelling and Monitoring Terrestrial Systems: Methods
and Technologies (POF2-246) / 255 - Terrestrial Systems:
From Observation to Prediction (POF3-255)},
pid = {G:(DE-HGF)POF2-246 / G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
doi = {10.5194/bgd-11-11943-2014},
url = {https://juser.fz-juelich.de/record/186437},
}