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, and (ii) water and carbon flux measurements for the determination of microclimates and LSM evaluation. 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 drone imagery 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 to investigate hydroclimatic variability in Corsica, a highly vulnerable area to future climate changes. Since Corsica has a highly variable topography, studies of local wind systems and large-scale weather can be done comprehensively. A variety in terrain and altitude leads to different weather types and variations of the Planetary Boundary Layer (PBL). A combination of remote sensing and ground-based observations will obtain precipitation data. High resolution climate and hydrological models simulate the formation and development of precipitation patterns.
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 deals with heavy precipitation events (HPE), which can cause small- and large-scale flooding in Central Europe, e.g. in Germany. The focus is the analysis of the physical processes responsible for these HPE. The understanding and advanced representation of HPE in numerical models contribute to an improvement of climate simulations. Hereby, the main objective of the project is to analyse abilities of the ReKliEs-De ensemble. Our research will lead to a deeper understanding of intensive and extreme precipitation.
For the understanding of the future development of HPE due to climate change, further studies on land-atmosphere interactions (L-A) are essential.