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  • Linear modelling of glacier length fluctuations
  • Alpes ; Analyse de sensibilité ; Autriche ; Climat ; Fluctuation du glacier ; Glacier ; Modèle ; Montagne ; Suisse ; Temps de réponse ; Variabilité climatique
  • Alps (The) ; Austria ; Climate ; Climatic variability ; Glacier ; Glacier fluctuation ; Model ; Mountain ; Response time ; Sensitivity analysis ; Switzerland
  • The A. uses a linear first-order differential equation to model glacier length fluctuations. This equation has 2 parameters describing the physical characteristics of a glacier : the climate sensitivity, expressing how the equilibrium glacier length
  • depends on the climatic state, and the response time, indicating how fast a glacier approaches a new equilibrium state after a stepwise change in the climatic forcing. The linear model is used to define and illustrate some concepts relevant to the study
  • of glacier fluctuations. It is shown that glaciers are never in equilibrium with climate, and that a constant time lag between forcing and response cannot be expected. Next the linear glacier model is applied to real glaciers, showing how information
  • 2012
  • Glacier rocheux ; Géotechnique ; HAEBERLI (W.) ; Modèle conceptuel ; Montagne ; Pergélisol ; Périglaciaire ; Régime thermique ; Suisse ; Thermokarst
  • Conceptual model ; Geotechnics ; Mountain ; Periglacial features ; Permafrost ; Rock glacier ; Switzerland ; Thermal regime ; Thermokarst
  • be attributed to early motivation by Wilfried Haeberli and offers a tribute as well as gratitude for his ongoing feedback and advice. Some thoughts on the development of thermokarst due to water ponding and flow, and a conceptual model of geotechnical mechanisms
  • 2012
  • Analyse spatiale ; British Columbia ; Canada ; Limite supérieure de la forêt ; Modèle d'équilibre ; Montagne ; Pergélisol ; Périglaciaire ; Régime thermique ; Température de l'air ; Température du sol ; Yukon
  • Air temperature ; British Columbia ; Canada ; Equilibrium model ; Mountain ; Periglacial features ; Permafrost ; Soil temperature ; Spatial analysis ; Thermal regime ; Tree line ; Yukon
  • , expressed as freezing and thawing n-factors, vary significantly with vegetation type and hence elevational band, with the lowest values for the forested zone and the highest for non-maritime alpine tundra. Equilibrium modelling carried out for one site
  • 2012