Published September 20, 2020 | Version 1
Dataset Open

Data set supporting journal article: Markwitz, C., Knohl, A. and Siebicke, L.: "Evapotranspiration over agroforestry sites in Germany", Biogeosciences, 2020

  • 1. University of Goettingen, Bioclimatology, Faculty of Forest Sciences and Forest Ecology, Germany

Description

This data set contains all necessary data needed to replicate figures and analysis presented in the research article: Markwitz, C., Knohl, A. and Siebicke, L.: "Evapotranspiration over agroforestry sites in Germany", Biogeosciences, 2020.

In detail, this data set contains 1) meteorological data and half-hourly evapotranspiration rates obtained by a conventional eddy covariance set-up, a low-cost eddy covariance set-up and an energy balance eddy covariance set-up for measurement campaigns of approximately four weeks duration (*_Fluxes_Campaigns_*); 2) raw data to recalculate flux footprints for the campaigns of approximately four weeks duration (*_Campaign_Footprints_*) and for the whole year (*_Annual_Footprints_*); 3) half-hourly evapotranspiration rates obtained by a low-cost eddy covariance set-up and an energy balance eddy covariance set-up gap-filled and corrected for energy balance closure (*_Fluxes_Annual_*). The data were collected at five agroforestry systems and five monoculture agriculture systems without trees across Northern Germany.  

Notes

Each data set is named according to the following structure: "SiteName_Landuse_Content_Figures_Tables.csv". Site and variable names follow the same structure as in the research article. The raw data for the calculation of flux footprint climatologies for the campaigns and the whole year are formatted as required by the flux footprint prediction online data processing tool developed by Kljun et al. 2015 (http://footprint.kljun.net). This research was funded by the German Federal Ministry of Education and Research (BMBF, project BonaRes, Modul A: Signal 031A562A).

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Dornburg_AF_Annual_Footprints_Fig_A3.csv

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