PI: Prof. Dr. Katja Trachte, Prof. Dr. Jörg Bendix
The project has the aims to derive (i) optical traits for land surface model (LSM) parametrization and evaluation, (ii) water and carbon flux measurements for the determination of microclimates and LSM evaluation, (iii) local climate change scenarios and climate extremes for LSM forcing and (iv) uncoupled and coupled LSM simulations, the latter as a contribution to the joint LSM synthesis. Beyond the central hypotheses, we will test if (i) PFT albedo changes due to water and nutrient stress, (ii) if latent heat flux and the carbon sink function are less resistant against climate stress in the anthropogenic systems, (iii) if these extremes are most pronounce in the RC8.5 climate change scenario and (iv) if changes in albedo trait diversity under climate extremes lead to a reduction of the resistance in latent heat fluxes especially in the anthropogenic systems. For this, hyperspectral remote sensing will be used to derive PFT and plot optical traits such as spectral leaf and canopy albedo. The data will be taken by field spectrometry and an unmanned aerial vehicle (UAV) for the natural forest and the anthropogenic systems during wet and dry periods along the elevational gradient. On the basis of long-term eddy covariance (ECov) flux measurements (water and carbon fluxes) supported by large eddy simulations (LES) over the natural forest and the anthropogenic systems, exchanges between land surface characteristics and the adjacent atmosphere will be explored.
PI: Prof. Dr. Jörg Bendix,Prof. Dr. Katja Trachte
The project aims at exposing the relationship of local breeze systems and large-scale synoptic circulation patterns at different terrain expositions and altitudes to investigate the precipitation variability and origins of water vapour in Corsica. A classification of typical weather types affecting Corsica and the development of the planetary boundary layer (PBL) will be used to analyse their interplay. A combination of remote-sensing and ground-based observations will contribute to the characterisation of the diurnal cycle of precipitation dynamics. Additionally, back-trajectory modelling will be applied to examine atmospheric pathways of air masses and water vapour for precipitation formation. The underlying mechanisms of local-scale and large-scale wind dynamics inducing the precipitation development will be reflected in numerical simulations.
BMBF - 01LP1902E
A joint research project of the 1BTU Cottbus - Senfentberg
and the 2University of Hohenheim
Subproject B2.1 of the BMBF funded Research Network on Climate Change and Extreme Events climXtreme
This project detects and analyses heavy precipitation events (HPE), both single convective events and intense precipitation episodes, with the potential to small- and large-scale flooding over Central Europe. It especially focuses on the analysis of related physical processes relevant for the formation and development of these HPEs, in particular the impact of land-atmosphere (L-A) feedback. An excellent understanding of L-A feedback processes favoring to heavy precipitation events also in Germany and their advanced representation in numerical models will contribute to an improvement of climate simulations. Furthermore, it is important to study the modification of L-A interaction due to climate change because this could have a substantial influence on the future statistics of these HPEs.