Aushilfe, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
segmentation methods Feature extraction: non-rigid shape matching with custom models, model-based
As the climate continues to change, Switzerland edges closer to a future in which extreme drought in the Alps is increasingly likely – and could push water and ecological systems to their limits. The EMERGE project studies past extreme droughts in mountain regions to help us better understand, and prepare for, potential impacts in the future.
Droughts in Mountain Regions The project employs an advanced ecohydrological model
Gastwissenschafter, SLF Davos, WSL Institute for Snow and Avalanche Research SLF, Flüelastrasse 11, 7260 Davos Dorf
These snow projections will use the Klima CH2025 bias-adjusted GCM-RCM model runs
Wir engagieren und vorwiegend in der Erfassung, Analyse, Bewertung und Entwicklungsprognosen der Ressourcen des Waldes.
Henningson et al. 2007 presented a model for redesigning forest road networks.
Using SVAT models, the project analyzes deep soil water availability and aligns TWD
deficit (TWD) and water use efficiency (WUE) as drought stress proxies in the SVAT model
OptFORESTS is an European funded project that aims to support the conservation and sustainable use of forest genetic resources.
conserve and utilize unique tree lineages for ecosystem restoration and management, model
Software Engineer, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
assimilation system to combine networks of permanent monitoring plots and forest ecosystem model
Computational Scientist, WSL Birmensdorf, Eidg. Forschungsanstalt WSL, Zürcherstrasse 111, 8903 Birmensdorf
Assessing daily climate model simulations in space and time across Switzerland.
translate data and features from strategic spatial planning into inputs for land change models
spatial planning, and 3) testing the tools by integrating planning in a land change model
MiCSS is a SNF-funded project that aims to investigate the key physiological processes underlying tree growth in order to improve forest dynamics and carbon cycle modelling.
stand-level estimates of photosynthesis and translate acquired insights into a new model
