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| Titel |
Inferences from CO2 and CH4 concentration profiles at the Zotino Tall Tower Observatory (ZOTTO) on regional summertime ecosystem fluxes |
| VerfasserIn |
J. Winderlich, C. Gerbig, O. Kolle, M. Heimann |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1726-4170
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| Digitales Dokument |
URL |
| Erschienen |
In: Biogeosciences ; 11, no. 7 ; Nr. 11, no. 7 (2014-04-11), S.2055-2068 |
| Datensatznummer |
250117357
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| Publikation (Nr.) |
 copernicus.org/bg-11-2055-2014.pdf |
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| Zusammenfassung |
| The Siberian region is still sparsely covered by ecosystem observatories,
which motivates the exploitation of existing data sets to gain spatially and
temporally better-resolved carbon budgets. The Zotino Tall Tower Observatory
(ZOTTO; 60°48' N, 89°21' E) observations of CO2
and CH4 mole fractions as well as meteorological parameters from six
different heights up to 301 m 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 μmol (m2 s)−1 for CO2 and
5.6 ± 4.5 nmol (m2 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. |
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