Dein Suchergebnis zum Thema: Model

One of the most important questions of climate change impact research today is how glaciers are responding to global warming. ERC-funded, RAVEN aims to determine the role that debris-covered glaciers play in the water cycle of High Mountain Asia and better incorporate processes unique to debris-cove
multiple scales, will be drawn together into the TOPKAPI-ETH glacio-hydrological model

Software Engineer, SLF Davos, WSL-Institut für Schnee- und Lawinenforschung SLF, Flüelastrasse 11, 7260 Davos Dorf
These models include the multi-layer, energy balance snow model SNOWPACK, the Alpine

Gruppenleiter, WSL Birmensdorf, Swiss Federal Research Institute WSL, Zürcherstrasse 111, 8903 Birmensdorf
Experimental Platform Pfynwald Researcher-ID  E-4874-2012 ORCID 000-0002-0158-8892 WSL Model

Rheinblick2027 investigates the effects of climate change on the Rhine River discharge based on the latest state-of-the-art.
We will further investigate hydrological model comparisons, including previous streamflow

In the project FORHYCS-ICE, („Forest, Glacier and Hydrology Change in Switzerland“), we aim at providing the first holistic simulations of climate impacts (CH2018 scenarios) on water resources, glaciers and forests.
and HYdrology under Climate Change in Switzerland v1.0: a spatially distributed model

Wir engagieren und vorwiegend in der Erfassung, Analyse, Bewertung und Entwicklungsprognosen der Ressourcen des Waldes.
We start with a pre-trained machine learning model based on the residual network

Spatial planning is currently experiencing significant changes driven by digitalisation. This transformation has the potential to influence the way we plan, and important values such as equality, social justice, transparency and efficiency.
Therefore, the main objective is to develop and test a theoretical model with the

The spatio-temporal DGVM LPJ-GM is extended with modules for dynamics and spread of interacting species and tested in case studies with different interactors
We will validate the so extended model (LPJ-GMINT) with data for past and current

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

This research aims to explore the predictability of drought at a monthly time horizon in the form of low flow in Switzerland and the European Alps by using machine learning techniques and linking large scale weather patterns with local hydrological events.
The concept is to achieve this goal by training a machine learning model with catchment