Mendel University in Brno - list of publications


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FOLTÝNOVÁ , L. -- FISCHER, M. -- MCGLOIN, R P. Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling. Theoretical and Applied Climatology. 2020. v. 139, no. 1-2, p. 677--688. ISSN 0177-798X. URL: https://link.springer.com/article/10.1007%2Fs00704-019-02975-w

Original name: Recommendations for gap-filling eddy covariance latent heat flux measurements using marginal distribution sampling
Czech name:
Written by (author): Mgr. Lenka Foltýnová , Ph.D.
Ing. Milan Fischer, Ph.D.
Ryan Patrick McGloin
Department: Department of Agrosystems and Bioclimatology
Kind of publication: article in a professional periodical
Periodical: Theoretical and Applied Climatology
Nature of article: paper
Volume no. (year): 139
Periodical number within the volume: 1-2
Year of publication: 2020
Starting page: 677
Up to page: 688
Number of pages: 12
Sub-specification: článek je obsažen v databázi Web of Science
UT code by Web of Science:
EID code by Scopus:
Form of publication: printed version
Original language: English
Description in original language: Accurate eddy covariance (EC) measurements require that the atmospheric and orographic conditions meet certain criteria. It is common that up to 60% of the original data must be rejected. In particular, a high percentage of data is often removed during nocturnal periods. Currently, the most widely used method for filling gaps in EC datasets is the tool developed at the Max Planck Institute for Biogeochemistry [as reported by Falge et al. (2001), Reichstein et al. (2005), and Wutzler et al. (2018)]. This tool has been primarily developed and tested for the gap-filling of CO2 fluxes. In this study, we provide the first detailed testing of this gap-filling tool on LE fluxes and explore alternative settings in the gap-filling procedure using different meteorological drivers. The tests were conducted using five EC data sets. Random artificial gaps of four different gap-length scenarios were used to compare the settings. Error propagation for both the default and alternative settings was computed for various time aggregations. In general, we confirm a good performance of the standard gap-filling tool with a bias error of MINUS SIGN 0.09 and MINUS SIGN 0.21 W mMINUS SIGN 2 for nocturnal growing and non-growing season cases, respectively, while daytime average bias error was 0.01 W mMINUS SIGN 2. Alternative settings produced similar results to the default settings for diurnal cases; however, the alternative settings substantially (81%) improved the performance of night-time gap-filling. At sites where night-time LE fluxes are significant, we recommend using net radiation instead of global radiation and relative air humidity instead of vapour pressure deficit to drive the LE gap-filling.
Description in English:
Description in Czech:
Year of submission: 2020
Year of transmission:
RIV identification number:
URL: https://link.springer.com/article/10.1007%2Fs00704-019-02975-w
 
Entry made by: Markéta Hejčová, DiS.
Last change: 01/10/2020 16:12 (Markéta Hejčová, DiS.)

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Theoretical and Applied Climatology. ISSN 0177-798X.

Original name: Theoretical and Applied Climatology
English name:
Czech name:
Written by (author):
Kind of publication: magazine
ISSN: 0177-798X
Country of publisher: Republic of Austria
Place of publishing:
Publisher: Springer WIEN
URL:
Reviewed magazine: no
Original language:
Description in original language:
Description in English:
Description in Czech:
 
Entry made by: prof. Ing. Mgr. Miroslav Trnka, Ph.D.
Last change: 03/14/2012 20:34 (Ing. Aleš Kutín)

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