Articles | Volume 11, issue 10
https://doi.org/10.5194/amt-11-5421-2018
https://doi.org/10.5194/amt-11-5421-2018
Research article
 | 
02 Oct 2018
Research article |  | 02 Oct 2018

Uncertainty of eddy covariance flux measurements over an urban area based on two towers

Leena Järvi, Üllar Rannik, Tom V. Kokkonen, Mona Kurppa, Ari Karppinen, Rostislav D. Kouznetsov, Pekka Rantala, Timo Vesala, and Curtis R. Wood

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Cited articles

Ao, X., Grimmond, C., Chang, Y., Liu, D., Tang, Y., Hu, P., Wang, Y., Zou, J., and Tan, J.: Heat, water and carbon exchanges in the tall megacity of Shanghai: challenges and results, Int. J. Climatol., 36, 4608–4624, https://doi.org/10.1002/joc.4657, 2016. a
Auvinen, M., Järvi, L., Hellsten, A., Rannik, Ü., and Vesala, T.: Numerical framework for the computation of urban flux footprints employing large-eddy simulation and Lagrangian stochastic modeling, Geosci. Model Dev., 10, 4187–4205, https://doi.org/10.5194/gmd-10-4187-2017, 2017. a
Barlow, J., Harrison, J., Robins, A., and Wood, C.: A wind-tunnel study of flow distortion at a meteorological sensor on top of the BT Tower, London, UK, J. Wind Eng. Ind. Aerod., 99, 899–907, https://doi.org/10.1016/j.jweia.2011.05.001, 2011. a, b, c
Billesbach, D.: Estimating uncertainties in individual eddy covariance flux measurements: A comparison of methods and a proposed new method, Agr. Forest Meteorol., 151, 394–405, https://doi.org/10.1016/j.agrformet.2010.12.001, 2011. a
Brümmer, B., Lange, I., and Konow, H.: Atmospheric boundary layer measurements at the 280 m high Hamburg weather mast 1995–2011: mean annual and diurnal cycles, Meteorol. Z., 21, 319–335, https://doi.org/10.1127/0941-2948/2012/0338, 2013. a
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Identical EC systems on two sides of a building in central Helsinki were used to assess the uncertainty of the vertical fluxes on the single measurement point from July 2013 to September 2015. Sampling at only one point yielded up to 12% underestimation in the cumulative carbon fluxes; for sensible and latent heat the respective values were up to 5 and 8%. The commonly used statistics, kurtosis and skewness, are not necessarily suitable for filtering out data in a densely built urban area.