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000865975 005__ 20220930130220.0
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000865975 0247_ $$2Handle$$a2128/23170
000865975 0247_ $$2URN$$aurn:nbn:de:0001-2019111337
000865975 037__ $$aFZJ-2019-05237
000865975 041__ $$aEnglish
000865975 1001_ $$0P:(DE-Juel1)166467$$aNey, Patrizia$$b0$$eCorresponding author
000865975 245__ $$aPartitioning of carbon dioxide exchange in rapidly and slowly changing ecosystems$$f - 2019-07-08
000865975 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2019
000865975 300__ $$axvi, 95
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000865975 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v476
000865975 502__ $$aDissertation, Univ. Bonn, 2019$$bDissertation$$cUniv. Bonn$$d2019
000865975 520__ $$aA key question in times of climate change is, how the biosphere responds to global change and the local land use management in regard to its carbon cycle. At the present time, the land surface acts as a sink for an thropogenic carbon dioxide (CO$_{2}$) emissions. However, additional CO$_{2}$ recarried out in winter wheat, winter barley, and in an intercrop mixture during different plant development stage and at diffrent times of day. A gas analyzer continuously records the concentrations at a frequency of 20 s$^{−1}$ over a 2 m profile height. We present a post-processing technique of the measurements (e.g. the correction of timelags) and show the resulting vertical profiles as 30-minute averages over height steps of 0.025m. The profiles clearly show the effects of soil respiration and photosynthetic carbon uptake within the plant stand, which vary both during the time of day and during the vegetation period. Using the Monin-Obukhov similarity theory, measurements over bare soil and a short plant canopy were analyzed to check the validity of the elevator measurements and the raw data processing. It was found that the derived fluxes of CO$_{2}$, latent and sensible heat, and momentum correlated well with eddy-covariance (EC) measurements [...]
000865975 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
000865975 536__ $$0G:(DE-Juel1)BMBF-01LN1313A$$aIDAS-GHG - Instrumental and Data-driven Approaches to Source-Partitioning of Greenhouse Gas Fluxes: Comparison, Combination, Advancement (BMBF-01LN1313A)$$cBMBF-01LN1313A$$fNachwuchsgruppen Globaler Wandel 4+1$$x1
000865975 536__ $$0G:(DE-HGF)TERENO-2008$$aTERENO - Terrestrial Environmental Observatories (TERENO-2008)$$cTERENO-2008$$fTERENO-2008$$x2
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000865975 9131_ $$0G:(DE-HGF)POF3-255$$1G:(DE-HGF)POF3-250$$2G:(DE-HGF)POF3-200$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lTerrestrische Umwelt$$vTerrestrial Systems: From Observation to Prediction$$x0
000865975 9141_ $$y2019
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