MOOCs sind weltweit verfügbare online-Lehreinheiten aus Videos, Foren, Aufgaben und Tests. Auch die WSL bietet MOOCs an.
European agriculture Learn how agriculture in Europe has changed and what options we have
This project will digitise the 100+ years worth of data that is stored in field note books, plot maps, hand-drawn root structures and crown maps etc.
They have proved to be very valuable for many WSL projects in connection with modelling
This project quantifies changes in high-end droughts and floods and their uncertainty for hydrological Switzerland in a warming climate by generating a hydrological Single Model Initial condition Large Ensemble (SMILE).
To date, few studies have combined atmospheric SMILEs with hydrological models to
Testing the value added of knowledge co-production among natural hazard researchers, natural hazard managers and local experts to achieve a shared understanding of future regional mass movement risks.
Regional stakeholders, experts in natural hazards management and scientists have
Photosynthesis of forest ecosystems can be reduced in spring most likely due to cold temperatures. Such cold-related processes are, however, not captured in mechanistic models and we thus aim to assess the mechanisms and frequencies of such depressions and include them into models.
Federal Research Institute WSL Low temperatures, e.g., by late frost events, have
This project investigates how the interaction between plant phenology, defense chemistry and the trade-offs between growth and chemical defenses are modulated by environmental variation and stress.
Therefore, factors that substantially alter phytochemistry can have far-reaching
In this project we assess the uptake and transport of nanoplastics in trees by using polystyrene nanoparticles doped with Palladium and detection of these particles with ICP-MS.
Palladium to detect plastics in different tree organs with ICP-MS(/MS), we will have
The Xylem database is an atlas of microscopic stem structures of herbs, dwarf shrubs, shrubs and trees in transversal, tangential and radial sections.
The current technical setup is temporary and may have some limitations.
The data for avalanche forecasting need to be accessible in high quality as soon as these become available. Any measurement errors, anomalies and data gaps diminish forecast accuracy. We aim to develop algorithms for real-time data cleansing by applying state-of-the-art machine learning approaches.
Hence, the completion of the proposed research will have a major impact, in particular
The WSL program Climate Change Impacts on Alpine Mass Movements (CCAMM) comprises projects covering a range of topics in natural hazards. Most investigations use models and thus require climate forcing data. The aim of this task is to provide meteorological forcings at the slope scale and in high temporal resolution.
In a series of past and current dissertations, the WRF and ARPS models have been
