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  CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions

Vilà-Guerau de Arellano, J., Ney, P., Hartogensis, O., de Boer, H., van Diepen, K., Emin, D., et al. (2020). CloudRoots: integration of advanced instrumental techniques and process modelling of sub-hourly and sub-kilometre land–atmosphere interactions. Biogeosciences, 17(17), 4375-4404. doi:10.5194/bg-17-4375-2020.

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Vilà-Guerau de Arellano, Jordi1, Autor           
Ney, Patrizia, Autor
Hartogensis, Oscar, Autor
de Boer, Hugo, Autor
van Diepen, Kevin, Autor
Emin, Dzhaner, Autor
de Groot, Geiske, Autor
Klosterhalfen, Anne, Autor
Langensiepen, Matthias, Autor
Matveeva, Maria, Autor
Miranda-Garcia, Gabriela, Autor
Moene, Arnold F., Autor
Rascher, Uwe, Autor
Röckmann, Thomas, Autor
Adnew, Getachew , Autor
Brüggemann, Nicolas, Autor
Rothfuss, Youri , Autor
Graf, Alexander, Autor
Affiliations:
1Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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 Zusammenfassung: The CloudRoots field experiment was designed to obtain a comprehensive observational dataset that includes soil, plant, and atmospheric variables to investigate the interaction between a heterogeneous land surface and its overlying atmospheric boundary layer at the sub-hourly and sub-kilometre scale. Our findings demonstrate the need to include measurements at leaf level to better understand the relations between stomatal aperture and evapotranspiration (ET) during the growing season at the diurnal scale. Based on these observations, we obtain accurate parameters for the mechanistic representation of photosynthesis and stomatal aperture. Once the new parameters are implemented, the model reproduces the stomatal leaf conductance and the leaf-level photosynthesis satisfactorily. At the canopy scale, we find a consistent diurnal pattern on the contributions of plant transpiration and soil evaporation using different measurement techniques. From highly resolved vertical profile measurements of carbon dioxide (CO2) and other state variables, we infer a profile of the CO2 assimilation in the canopy with non-linear variations with height. Observations taken with a laser scintillometer allow us to quantify the non-steadiness of the surface turbulent fluxes during the rapid changes driven by perturbation of photosynthetically active radiation by cloud flecks. More specifically, we find 2 min delays between the cloud radiation perturbation and ET. To study the relevance of advection and surface heterogeneity for the land–atmosphere interaction, we employ a coupled surface–atmospheric conceptual model that integrates the surface and upper-air observations made at different scales from leaf to the landscape. At the landscape scale, we calculate a composite sensible heat flux by weighting measured fluxes with two different land use categories, which is consistent with the diurnal evolution of the boundary layer depth. Using sun-induced fluorescence measurements, we also quantify the spatial variability of ET and find large variations at the sub-kilometre scale around the CloudRoots site. Our study shows that throughout the entire growing season, the wide variations in stomatal opening and photosynthesis lead to large diurnal variations of plant transpiration at the leaf, plant, canopy, and landscape scales. Integrating different advanced instrumental techniques with modelling also enables us to determine variations of ET that depend on the scale where the measurement were taken and on the plant growing stage.

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Sprache(n): eng - English
 Datum: 2020-08-31
 Publikationsstatus: Online veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: DOI: 10.5194/bg-17-4375-2020
 Art des Abschluß: -

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Titel: Biogeosciences
  Andere : Biogeosciences
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: Katlenburg-Lindau, Germany : Copernicus GmbH on behalf of the European Geosciences Union
Seiten: - Band / Heft: 17 (17) Artikelnummer: - Start- / Endseite: 4375 - 4404 Identifikator: ISSN: 1726-4170
CoNE: https://pure.mpg.de/cone/journals/resource/111087929276006