This dataset provides half-hourly model output of sensible and latent heat fluxes simulated by three structurally different evapotranspiration schemes for a temperate grassland site in Luxembourg. All models use surface energy and meteorological observations as input. The observational data were collected during a field campaign in June and July 2015 and are distributed as complementary dataset by Wizemann et al., 2018. Two models are based on a parameterization of the sensible heat flux (OSEB, TSEB; see Brenner et al., 2017) and one model (STIC 1.2, Mallick et al., 2016) is a modification of the Penman-Monteith formulation using skin temperature as additional input variable. For details please see the reference article Renner et al., 2019, HESS. The data is provided as comma-separated-values (csv) format in a long table format. Columns represent Date, Time, variable, value, source. The column “variable” sets the name of the variable (following CEOP standards, https://www.eol.ucar.edu/field_projects/ceop). Column “source” describes the data source with an acronym representing the models (OSEB, TSEB, STIC).The data contributes to the Joint Research Group "Catchments As Organized Systems" (CAOS) funded by the German Research Foundation.Methods: land-surface modelling, evapotranspiration schemes
The data publication contains all heat-flow data of onshore Germany. The data release contains data generated between 1959 and 2020 and constitutes a substantial update and extension compared to the last compilation provided by the Geothermal Atlas from Hurter & Haenel (2002). The data set comprises new heat-flow determinations published after 2002 as well as data from before 2002, which were not included in the Hurter & Haenel atlas. The resulting updated database contains 836 determinations of heat flow at 595 locations from 42 publications. 85% of the reported heat-flow values are determined in boreholes, 5% in mines, and further 9 % are from onshore lake measurements using marine probe sensing techniques.
The reporting and storing of the database is following the structure of the IHFC Global Heat Flow Database (Fuchs et al., 2021). A comprehensive description, including field classifications and ex-amples of associated data, is documented there. The IHFC database concept introduces parent elements (providing site-specific information), child elements (i.e. heat-flow values determined at the site and associated meta-data) and further fields providing additional information for the eval-uation of heat-flow quality. Thus, it provides a detailed collection of data and meta-data infor-mation, exceeding the sparse information on coordinates, name and heat-flow value provided in Hurter & Haenel (2002). In our release of the German heat-flow values, we have added fields about the applied quality scoring, the reasoning for inclusion or exclusion of data due to quality, and a descriptive field of the regional tectonic or geological units. For details of this procedure see Fuchs et al. (2022).
The associated data description provides the full list of data sources (publications), while the DOI landing page only displays digital versions of articles if available.
This dataset provides half-hourly surface energy balance measurements for a temperate grassland site in Luxembourg. The data were obtained during a field campaign in June and July 2015. The observations comprise multiple variables measurements by an Eddy-Covariance station, a net radiometer, soil moisture, temperature and soil heat flux probes and meteorological standard measurements. For details please see the reference article Renner et al. (2019, HESS) with the general setup described in Wizemann et al., 2015. The data are complemented by half-hourly model output of sensible and latent heat fluxes that are published as individual data publication (Renner et al., 2018).The data is provided as comma-separated-values (csv) format in a long table format. Columns represent Date, Time, variable, value, source. The column “variable” sets the name of the variable (following CEOP standards) with an information of the measurement depth for soil measurements. Column “source” describes the data source with an acronym(Observations “ObsEC”).The data contributes to the Joint Research Group "Catchments As Organized Systems" (CAOS) funded by the German Research Foundation.Methods: Eddy Covariance, Surface energy balance observations