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 expected outcome of this project is a method that allows for continental-scale modeling of permafrost, snow and glacier mass balance in mountain areas under present and simulated future climate. This is important because the mountain cryosphere influences a large proportion of the global land mass and population, experiences high rates of climate change and is currently inadequately resolved in regional climate models do to the dominating influence of sub-grid variability. This project does not address climate modelling but will rather provide a proof of concept for the inclusion of topography sub-grid schemes into climate models where it has the potential to improve the modeling of radiative and moisture fluxes over mountain topography. The research proposed here focuses on a one-way coupling, i.e. a scheme in which results from regional models are used but the results of the surface calculation do not feed back into the original model. This allows a thorough and realistic development and evaluation of the method with measured as well as simulated climate data as well as first applications worldwide. At the same time it provides a proof of concept for a later two-way or online coupling where this approach could be included in regional climate models.