Home > Publications database > Uncertainty analysis of eddy covariance CO$_{2}$ flux measurements for different EC tower distances using an extended two-tower approach > print |
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037 | _ | _ | |a FZJ-2015-00513 |
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100 | 1 | _ | |a Post, H. |0 P:(DE-Juel1)145951 |b 0 |e Corresponding Author |
245 | _ | _ | |a Uncertainty analysis of eddy covariance CO$_{2}$ flux measurements for different EC tower distances using an extended two-tower approach |
260 | _ | _ | |a Katlenburg-Lindau [u.a.] |c 2014 |b Copernicus |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1447167221_30062 |2 PUB:(DE-HGF) |
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520 | _ | _ | |a 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. |
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