Dein Suchergebnis zum Thema: Model

Enhancing lay people’s understanding of biodiversity through participatory interventions

https://www.wsl.ch/de/projekte/enhancing-lay-peoples-understanding-of-biodiversity-through-participatory-interventions/

Our project will evaluate effects of different forms of interactive involvement in river restoration projects on involved residents’ social learning and their psychological ownership and investigate whether this enhances acceptance of the river restoration projects.
regions in Switzerland measuring a) residents’ mental models

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Mapping debris-covered glaciers and their features and characteristics

https://www.wsl.ch/de/projekte/mapping-debris-covered-glaciers-and-their-features-and-characteristics/

Supraglacial debris considerably alters the response of glaciers to changes in climate, yet debris-covered glaciers are notoriously difficult to delineate due to their fuzzy boundaries and spectral similarities to marginal moraines. Their surfaces are often characterized by supraglacial ponds and ex
research enables the development and application of models

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Plants and People in Urban Green Space (PAPPUS)

https://www.wsl.ch/de/projekte/plants-and-people-in-urban-green-space-pappus/

The PAPPUS project aims to understand how decision makers influence the choice of plant assemblages and their management in different types of urban green spaces, and how their decisions in turn influence ecological and human benefits in a context of climate change and urban intensification.
basis for communication between ecologists, climate modelers

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Real-time cleansing of snow and weather data for operational avalanche forecasting

https://www.wsl.ch/de/projekte/real-time-cleansing-of-snow-and-weather-data-for-operational-avalanche-forecasting/

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.
the application of numerical avalanche prediction models

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  • Wissen
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Understanding self-sustained crack propagation in snow – the key to predicting avalanche size

https://www.wsl.ch/de/projekte/understanding-self-sustained-crack-propagation-in-snow/

If an avalanche is triggered, how large will it be? To answer this question, we will analyze unique data from field experiments to provide new insights into the process controlling avalanche release and avalanche size.
While in recent years computer models have been used

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Resolving the thickness of debris on Earth’s glaciers and its rate of change (RENOIR)

https://www.wsl.ch/de/projekte/renoir-systematically-deriving-supraglacial-debris-thickness-properties-and-changes/

This project will systematically collect the measurements of physical properties needed to constrain the a new generation of debris thickness inversion methods, enabling high-accuracy global estimates of supraglacial debris thickness and its rate of change.
debris thickness to allow a new generation of glacier models

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  • Wissen
  • International
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