Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
The seasonal snow cover in the European Alps plays a crucial role in the region's climate, ecology, and economy. It affects the local climate through its high albedo, protects permafrost, provides habitats, and acts as a water reservoir that feeds European rivers. However, these functions are t...
| Main Author: | |
|---|---|
| Format: | Doctoral or Postdoctoral Thesis |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/37139 https://nbn-resolving.org/urn:nbn:de:bvb:20-opus-371392 https://doi.org/10.25972/OPUS-37139 https://opus.bibliothek.uni-wuerzburg.de/files/37139/Koehler_Jonas_Dissertation.pdf |
| Summary: | The seasonal snow cover in the European Alps plays a crucial role in the region's climate, ecology, and economy. It affects the local climate through its high albedo, protects permafrost, provides habitats, and acts as a water reservoir that feeds European rivers. However, these functions are threatened by climate change. Analyzing snow cover dynamics is essential to predict future developments and assess related ecological and economic impacts. This study explores the potential of long Earth Observation (EO) time series for modeling and predicting the snow line elevation (SLE) in the Alps. Based on approximately 15,000 Landsat satellite images, SLE time series were generated for the years 1985 to 2022. Various univariate forecasting models were evaluated, with the best results achieved by Random Forests, Telescope, and Seasonal ARIMA. A newly developed approach combines the best models into a robust ensemble, achieving an average Nash-Sutcliffe efficiency (NSE) of 0.8 in catchments with strong seasonal signals. Forecasts for 2030 indicate significant upward shifts in the SLE, particularly in the Western and Southern Alps. Given the variability in results, a multivariate modeling approach using climate variables is recommended to improve prediction accuracy. This study lays the groundwork for future models that could potentially project SLE dynamics through the end of the 21st century under various climate scenarios, which is highly relevant for climate policy in the Alpine region. Die saisonale Schneedecke in den europäischen Alpen spielt eine zentrale Rolle für das Klima, die Ökologie und die Wirtschaft der Region. Sie beeinflusst das lokale Klima durch ihre Albedo, beeinflusst den Permafrost, bildet Lebensräume und fungiert als Wasserspeicher, der große europäische Flüsse speist. Diese Funktionen sind jedoch durch den Klimawandel bedroht. Um zukünftige Entwicklungen der Schneedecke vorherzusagen und die damit verbundenen ökologischen und wirtschaftlichen Auswirkungen abzuschätzen, ist die Analyse ... |
|---|