Application of a multi-step error filter for postprocessing of atmospheric flux and meteorological basic data

URN to cite this document: urn:nbn:de:bvb:703-epub-1759-5

Title data

Lüers, Johannes ; Detsch, Florian ; Zhao, Peng:
Application of a multi-step error filter for postprocessing of atmospheric flux and meteorological basic data.
ed.: Foken, Thomas
Bayreuth : Eigenverlag: Universität Bayreuth, Abteilung Mikrometeorologie, 2014 . - III, 20 P. - (Arbeitsergebnisse / Universität Bayreuth, Abteilung Mikrometeorologie ; 58 )

	Format: PDF Name: AB58_MSEF_Working_report_58_20140818.pdf Version: Published Version Available under License Creative Commons BY 3.0: Attribution
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Abstract

The R software package described in this working report includes a new multi-step error filter, called MSEF, in addition to the quality checks implemented in the TK3-software or any other eddycovariance software package. Optionally, a gap‐filling routine can be applied after having checked the data in order to fill small measuring gaps by linear interpolation. The TK3 eddy‐covariance software package as a subsequent version of ‘Turbulenzknecht’ and the TK2-software calculates highresolution eddy‐covariance data. These, in turn, reflect micrometeorological energy exchange processes at the surface which are quality assured by applying a set of corrections and quality tests. The binary output data set contains 30‐minute means of the high‐frequency measured and calculated parameters. MSEF uses these output files as input data in order to apply further quality checks including reasonable consistency limits, Status-Or-Threshold values (STV) like the diagnostic AGC value, and a set of statistical tests. Note that all the included hecking parameters can be interactively adjusted by the user according to individual needs. After the facultative filling of small gaps, the software generates various output files that are corrected for low‐quality data and outliers. This report illustrates the whole procedure from raw data measurements and calculations via postprocessing by MSEF to adjusted and gap‐filled high‐quality data sets. Approaches to fill longer gaps are currently being tested and will be discussed in a subsequent working report.

Further data

Item Type:	Project report, research report, survey
Keywords:	Time series; gap-filling; eddy-covariance; energy fluxes; error handling; data processing; TK3-software; multi-step error filter
DDC Subjects:	500 Science > 550 Earth sciences, geology
Institutions of the University:	Faculties Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Professor Micrometeorology
Language:	German
Originates at UBT:	Yes
URN:	urn:nbn:de:bvb:703-epub-1759-5
Date Deposited:	04 Nov 2014 11:03
Last Modified:	04 Nov 2014 11:03
URI:	https://epub.uni-bayreuth.de/id/eprint/1759

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