[732] - A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements

All available metadata of the dataset is listed below. Some features are available, e.g. download of dataset or additional description file.

By downloading files from this dataset you accept the license terms of TR32DB Data policy agreement and TR32DBData Protection Statement.
Adequate reference when this dataset will be discussed or used in any publication or presentation is mandatory. In this case please contact the dataset creator.
Due to the speed of the filesystem and depending on the size of the archive and the file to be extracted, it may take up to thirty (!) minutes until a download is ready! Beware of that when confirming since you may not close the tab because otherwise, you will not get your file!
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. Agricultural and Forest Meteorology, 169, 122 - 135. DOI: 10.1016/j.agrformet.2012.09.006.
Citation Options
Export as: Select the file format for your download.Citation style: Select the displayed citation style.
Title(s):Main Title: A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements
Description(s):Abstract: Eddy-covariance measurements are performed at several hundred sites all over the world on a longterm 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.
Identifier(s):DOI: 10.1016/j.agrformet.2012.09.006
Responsible Party
Creator(s):Author: Matthias Mauder
Author: Matthias Cuntz
Author: Clemens Drüe
Author: Alexander Graf
Author: Corinna Rebmann
Author: Hans Peter Schmid
Author: Marius Schmidt
Author: Rainer Steinbrecher
Publisher:Elsevier B.V
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Uncertainty Quantification, Eddy Covariance, Quality Control, Flux Footprint, Energy Balance Closure
File Details
File Name:2013_Mauder_AFM.pdf
Data Type:Text
Size(s):14 Pages
File Size:938 kB (0.916 MB)
Date(s):Date Accepted: 2012-09-06
Mime Type:application/pdf
Data Format:PDF
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
North:-no map data
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Article Type:Journal
Source:Agricultural and Forest Meteorology
Number Of Pages:14
Page Range:122 - 135
Metadata Details
Metadata Creator:Clemens Drüe
Metadata Created:2013-12-03
Metadata Last Updated:2013-12-03
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:537
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity