Data underlying the article "Attributing urban evapotranspiration from eddy-covariance to surface cover: bottom-up versus top-down"

DOI:10.4121/bf56f3d1-d522-44d3-8371-9f2af7a01378.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/bf56f3d1-d522-44d3-8371-9f2af7a01378
Datacite citation style:
Harro Jongen; Vulova, Stenka; Meier, Fred; Jansen, Femke; Tetzlaff, Doerthe et. al. (2024): Data underlying the article "Attributing urban evapotranspiration from eddy-covariance to surface cover: bottom-up versus top-down". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/bf56f3d1-d522-44d3-8371-9f2af7a01378.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Data contains meteorological and heat flux observations from two eddy-covariance towers, a ceilometer, and a leaf area index campaign for 2019 in the Urban Research Garden in Steglitz (ROTH) and on top of the TU Berlin campus (TUCC), Berlin, Germany. Observation sites are part of the Urban Climate Observatory (UCO), www.uco.berlin". 


The leaf area index is averaged for the high (>1.5m) and low vegetation transects. Interpolation has been performed as described in the related publication.


History

  • 2024-09-03 first online, published, posted

Publisher

4TU.ResearchData

Format

csv

Funding

  • WIMEK grant

Organizations

Hydrology and Environmental Hydraulics Group, Department of Environmental Sciences, Wageningen University & Research
Meteorology and Air Quality Group, Department of Environmental Sciences, Wageningen University & Research
TU Berlin, Institute of Ecology, Chair of Climatology

DATA

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