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Journal Article

Inferences from CO2 and CH4 concentration profiles at the Zotino Tall Tower Observatory (ZOTTO) on regional summertime ecosystem fluxes


Winderlich,  J.
Biogeochemistry, Max Planck Institute for Chemistry, Max Planck Society;

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Winderlich, J., Gerbig, C., Kolle, O., & Heimann, M. (2014). Inferences from CO2 and CH4 concentration profiles at the Zotino Tall Tower Observatory (ZOTTO) on regional summertime ecosystem fluxes. Biogeosciences, 11(7), 2055-2068. doi:10.5194/bg-11-2055-2014.

Cite as: http://hdl.handle.net/11858/00-001M-0000-0024-B498-5
The Siberian region is still sparsely covered by ecosystem observatories, which motivates the exploitation of existing data sets to gain spatially and temporally betterresolved carbon budgets. The Zotino Tall Tower Observatory (ZOTTO; 60 degrees 48'N, 89 degrees 21'E) observations of CO2 and CH4 mole fractions as well as meteorological parameters from six different heights up to 301m allow for an additional estimate of surface-atmosphere fluxes of CO2 and CH4 for the middle Siberian region beginning 2009. The total carbon flux is calculated from the storage and the turbulent flux component. The gradients between the different tower levels determine the storage flux component, which dominates the regional fluxes, especially during nighttime. As a correction term, the turbulent flux component was estimated by the modified Bowen ratio method based on the sensible heat flux measurements at the top of the tower. The obtained average nighttime fluxes (23:00 to 04:00 local time) are 2.7 +/- 1.1 mu mol (m(2) s)(-1) for CO2 and 5.6 +/- 4.5 nmol (m(2) s)(-1) for CH4 during the summer months June-September in 2009 and 2011. During the day, the method is limited due to numeric instabilities because of vanishing vertical gradients; however, the derived CO2 fluxes exhibit reasonable diurnal shapes and magnitudes compared to the eddy covariance technique, which became available at the site in 2012. Therefore, the tall tower data facilitate the extension of the new eddy covariance flux data set backward in time. The diurnal signal of the CH4 flux is predominantly characterized by a strong morning transition, which is explained by local topographic effects.