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Permafrost model sensitivity to seasonal climatic changes and extreme events in mountainous regions

机译:多年冻土模型对山区季节性气候变化和极端事件的敏感性

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摘要

Climate models project considerable ranges and uncertainties in future climatic changes. To assess the potential impacts of climatic changes on mountain permafrost within these ranges of uncertainty, this study presents a sensitivity analysis using a permafrost process model combined with climate input based on delta-change approaches. Delta values comprise a multitude of coupled air temperature and precipitation changes to analyse long-term, seasonal and seasonal extreme changes on a typical low-ice content mountain permafrost location in the Swiss Alps. The results show that seasonal changes in autumn (SON) have the largest impact on the near-surface permafrost thermal regime in the model, and lowest impacts in winter (DJF). For most of the variability, snow cover duration and timing are the most important factors, whereas maximum snow height only plays a secondary role unless maximum snow heights are very small. At least for the low-ice content site of this study, extreme events have only short-term effects and have less impact on permafrost than long-term air temperature trends.
机译:气候模型预测了未来气候变化的范围和不确定性。为了评估在这些不确定性范围内气候变化对多年冻土的潜在影响,本研究提出了一种利用多年冻土过程模型结合基于增量变化方法的气候输入的敏感性分析。 Delta值包括大量的气温和降水变化,以分析瑞士阿尔卑斯山典型的低冰含量山区多年冻土区的长期,季节性和季节性极端变化。结果表明,在该模型中,秋季的季节变化(SON)对近地表多年冻土热状况的影响最大,而冬季的影响最小(DJF)。对于大多数可变性而言,积雪的持续时间和时间是最重要的因素,而最大积雪高度仅起次要作用,除非最大积雪高度非常小。至少对于本研究的低冰含量地区,极端事件仅具有短期影响,对永久冻土的影响小于长期气温趋势。

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