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
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doi: 10.4121/bf56f3d1-d522-44d3-8371-9f2af7a01378
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
associated peer-reviewed publication
Attribution of urban evapotranspiration observed with eddy-covariance to surface cover types: bottom-up or top-down?
funding
- WIMEK grant
organizations
Hydrology and Environmental Hydraulics Group, Department of Environmental Sciences, Wageningen University & ResearchMeteorology and Air Quality Group, Department of Environmental Sciences, Wageningen University & Research
TU Berlin, Institute of Ecology, Chair of Climatology
DATA
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