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...

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Main Author: Köhler, Jonas
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
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spelling ftunivwuerz:oai:opus.bibliothek.uni-wuerzburg.de:37139 2024-09-30T14:41:15+00:00 Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series Prognose zukünftiger Schneeliniendynamiken in den Alpen - Das Potential langer Zeitreihen aus Erdbeobachtungsdaten Köhler, Jonas 2024 application/pdf 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 eng eng https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/37139 urn:nbn:de:bvb:20-opus-371392 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 https://creativecommons.org/licenses/by-nc-nd/4.0/deed.de info:eu-repo/semantics/openAccess Fernerkundung Schnee Prognose Zeitreihe ddc:550 doctoralthesis doc-type:doctoralThesis 2024 ftunivwuerz https://doi.org/10.25972/OPUS-37139 2024-09-18T00:07:17Z 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 ... Doctoral or Postdoctoral Thesis permafrost Würzburg University: Online Publication Service Nash ENVELOPE(-62.350,-62.350,-74.233,-74.233) Sutcliffe ENVELOPE(-81.383,-81.383,50.683,50.683)
institution Open Polar
collection Würzburg University: Online Publication Service
op_collection_id ftunivwuerz
language English
topic Fernerkundung
Schnee
Prognose
Zeitreihe
ddc:550
spellingShingle Fernerkundung
Schnee
Prognose
Zeitreihe
ddc:550
Köhler, Jonas
Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
topic_facet Fernerkundung
Schnee
Prognose
Zeitreihe
ddc:550
description 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 ...
format Doctoral or Postdoctoral Thesis
author Köhler, Jonas
author_facet Köhler, Jonas
author_sort Köhler, Jonas
title Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
title_short Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
title_full Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
title_fullStr Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
title_full_unstemmed Predicting Future Snow Line Elevation Dynamics in the Alps - The Potential of Long Earth Observation Time Series
title_sort predicting future snow line elevation dynamics in the alps - the potential of long earth observation time series
publishDate 2024
url 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
long_lat ENVELOPE(-62.350,-62.350,-74.233,-74.233)
ENVELOPE(-81.383,-81.383,50.683,50.683)
geographic Nash
Sutcliffe
geographic_facet Nash
Sutcliffe
genre permafrost
genre_facet permafrost
op_relation https://opus.bibliothek.uni-wuerzburg.de/frontdoor/index/index/docId/37139
urn:nbn:de:bvb:20-opus-371392
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
op_rights https://creativecommons.org/licenses/by-nc-nd/4.0/deed.de
info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.25972/OPUS-37139
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