Abstract
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 (<span classCombining double low line"inline-formula") and other state variables, we infer a profile of the <span classCombining double low line"inline-formula" 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<span idCombining double low line"page4376" that depend on the scale where the measurement were taken and on the plant growing stage.
Original language | English |
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Pages (from-to) | 4375-4404 |
Number of pages | 30 |
Journal | Biogeosciences |
Volume | 17 |
DOIs | |
Publication status | Published - 31 Aug 2020 |
Funding
Acknowledgements. The authors wish to thank Bernhard Pospichal and Tobias Marke for contributing measurements on boundary layer properties. These data were provided by the Jülich Observatory for Cloud Evolution (JOYCE-CF), a core facility funded by DFG via grant DFG LO 901/7-1. Hubert Hüging and Huu Thuy Nguyen from the INRES Crop Science Group of Bonn University for operating the sap-flow equipment. Financial support. This study was financed by the Deutsche Forschungsgemeinschaft (DFG) Collaborative Research Centre 32 (TR32) “Patterns in Soil-Vegetation-Atmosphere System”. The contribution of AG and deployment of the profile elevator, microlysimeter and part of the isotope measurements were financed by the German Federal Ministry of Education and Research (BMBF) within the framework of the project “IDAS-GHG“ (Grant: FKZ 01LN1313A). Airborne acquisition and data analysis with the HyPlant sensor were financed by the European Space Agency (ESA) in the frame of the FLEXSense campaign (ESA Contract No. ESA RFP/3-15477/18/NL/NA). The contribution of PN to the analysis were financed by the European Space Agency (ESA) within the project PhotoProxy (Grant. ESA RFP/3-15506/18/NL/NF). The ancillary hardware and its maintenance were supported by TERENO (https://www.tereno.net, last access: 21 August 2020). These data were provided by the Jülich Observatory for Cloud Evolution (JOYCE-CF), a core 40 facility funded by DFG via grant DFG LO 901/7-1.