TR32-Database: Database of Transregio 32

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

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

Features
Citation
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.
Identification
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
Topic
TR32 Topic:Atmosphere
Subject(s):CRC/TR32 Keywords: Uncertainty Quantification, EC, 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
Language:English
Status:Completed
Constraints
Download Permission:OnlyTR32
General Access and Use Conditions:For internal use only
Access Limitations:For internal use only
Licence:TR32DB Data policy agreement
Geographic
North:-no map data
East:-
South:-
West:-
Measurement Region:Other
Measurement Location:--Other--
Specific Informations - Publication
Status:Published
Review:PeerReview
Year:2013
Type:Article
Article Type:Journal
Source:Agricultural and Forest Meteorology
Volume:169
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
Subproject:Z3
Funding Phase:2
Metadata Language:English
Metadata Version:V40
Dataset Metrics
Page Visits:101
Metadata Downloads:0
Dataset Downloads:3
Dataset Activity
Features