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Titel:
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An evaluation by laser Doppler anemometry of the correction algorithm based on Kaimal co-spectra for high frequency losses of EC flux measurements of CH4 and N2O
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Auteur(s):
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Kroon, P.S.; Schuitmaker, A.; Jonker, H.; Tummers, M.J.; Hensen, A.; Bosveld, F.C.
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Gepubliceerd door:
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Publicatie datum:
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ECN
Biomassa, Kolen en Milieuonderzoek
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18-8-2010
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ECN publicatienummer:
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Publicatie type:
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ECN-W--10-029
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Artikel wetenschap tijdschrift
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Aantal pagina's:
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13
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Gepubliceerd in: Agricultural and Forest Meteorology (Elsevier), , 2010, Vol.150, p.794-805.
Samenvatting:
Eddy covariance (EC) technique is often used to determine greenhouse gas exchange at the earth’s surface. In general, the instruments involved have a limited high frequency response which reduces the ability to detect the contribution to the flux of small eddies and in addition sensor separation gives high frequency losses. These missing contributions cause an EC flux underestimation which increases for higher values of the stability parameter z/L. Corrections can be performed based on the (empirical) Kaimal co-spectra; however, these were derived using instruments with a limited frequency response. In this study, the validity of the Kaimal spectrum during stable atmospheric conditions is assessed using laser Doppler anemometry (LDA) measurements of the vertical wind velocity at 1 m height during several stable nights at Cabauw in the Netherlands. LDA provides a means to determine the entire turbulent energy spectrum, i.e., from the production scale down to the dissipation scale. Since the measured spectra are found to be in good agreement with the Kaimal spectra, we assume that the Kaimal co-spectra are valid as well. Next, the effect of high frequency correction based on Kaimal co-spectra is assessed using 1 month of EC flux data of CH4 and N2O measured by quantum cascade laser (QCL) spectrometry at Reeuwijk in the Netherlands. After correction, the cumulative emissions increased about 15% for both gases. This underlines the importance of correcting for high frequency losses.
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