Publication Details

Category Text Publication
Reference Category Journals
DOI 10.1016/j.agrformet.2012.09.006
Title (Primary) A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements
Author Mauder, M.; Cuntz, M.; Drüe, C.; Graf, A.; Rebmann, C.; Schmid, H.P.; Schmidt, M.; Steinbrecher, R.
Source Titel Agricultural and Forest Meteorology
Year 2013
Department CHS
Volume 169
Page From 122
Page To 135
Language englisch
Keywords Eddy covariance; Energy balance closure; Flux-footprint; Quality assessment; TERENO; Uncertainty quantification
UFZ wide themes TERENO; RU5;

Eddy-covariance measurements are performed at several hundred sites all over the world on a long-term basis. The gathered data are used to characterise ecosystem exchanges of trace gases, water and energy and to validate or constrain process-based models. There is an increasing demand on standardised and comprehensive quality flagging and uncertainty quantification of these fluxes. In this paper, we review established quality assessment procedures and present a comprehensive newly composed strategy emphasising tests on high-frequency raw data, expanding existing tests on statistics, fluxes and corrections, plus quantification of errors. Moreover, representativity of fluxes is checked by footprint analysis. This strategy is applied within the recently launched TERENO network of ecosystem observatories, and its robustness is demonstrated for data acquired with different measurement set-ups. Four test data sets from TERENO and one data set from CarboEurope-IP were subjected to this quality assessment. The presented strategy is compared with established quality assessment schemes, and it is demonstrated that unrealistic fluxes are now efficiently excluded while retaining the largest possible amount of high quality data. Additionally, the algorithms applied provide comprehensive, reproducible, qualitative and quantitative uncertainty estimates for users of eddy-covariance flux data.

Persistent UFZ Identifier
Mauder, M., Cuntz, M., Drüe, C., Graf, A., Rebmann, C., Schmid, H.P., Schmidt, M., Steinbrecher, R. (2013):
A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements
Agric. For. Meteorol. 169 , 122 - 135