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Palaeoclimate from glaciers: Examples from the Eastern Alps during the Alpine Lateglacial and early Holocene

机译:冰川的古气候:高山晚冰河和全新世早期的东阿尔卑斯山脉的例子

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摘要

~(10)Be dating of prominent glacier advances (stadials) in the Alps supports the correlation of the Gschnitz stadial (> 15.4 ka) with the Heinrich 1 ice rafting event (Greenland Stadial 2a), the Egesen-maximum advance (~ 12.3-12.4 ka) with the early Younger Dryas (Greenland Stadial 1), the Kartell advance (~ 10.8 ka) with the Preboreal Oscillation and the Kromer advance (~ 8.4 ka) with the Central European cold phase 3. The interpretation of the glacial record with glacier-climate models in terms of summer temperature change (△Ts) and precipitation change (△P) shows that climate during the Gschnitz stadial was ~ 10 K colder than at present and precipitation was reduced to ~25% of modern annual sums with a possible tendency towards slightly more humid conditions in the southeastern Alps. During the early Younger Dryas, △P depends on the estimated △Ts. For a △Ts of-3.5 K, △P along the northern fringe of the Eastern Alps was about 0 to + 15%, in the central valleys △P was in the order of-20 to -30%. A scenario with a △Ts of-5 K leads to generally drier conditions (~ - 15% vs. ~ - 50% △P) but the spatial pattern of precipitation change remains the same. The Kromer advance was possibly characterised by more humid conditions than today along the northern fringe of the Eastern Alps. In the valleys of the Central Alps, precipitation seems to have been similar to modern values. Methodologically, simple empirical relationships between summer temperature and precipitation at the equilibrium line altitude yield similar results as an analytical glacial-meteorological model. However, the analytical model allows a more detailed analysis of the climatic parameters influencing glacier behaviour. In the case of the Egesen-maximum and Kromer advances, the accuracy of △P depends on the reliability of △Ts, which is derived from timberline depression and on the dating control. In the case of the Gschnitz stadial, the accuracy of △Ts depends mainly on the glacier flow model, from which △P is derived. Since the model reacts sensitively to assumptions about basal sliding, only scenarios can be calculated.
机译:〜(10)阿尔卑斯山脉重要冰川前进(静止)的年代定格支持Gschnitz静止(> 15.4 ka)与Heinrich 1漂流事件(格陵兰静止2a),Egesen-最大前进(〜12.3-)的相关性。早期的年轻得里亚树(格陵兰州立大学1)有12.4 ka),中原性冰冻前震颤的Kartell进阶(〜10.8 ka),中欧冷期3的Kromer发育(〜8.4 ka)。根据夏季温度变化(△Ts)和降水变化(△P)的冰川气候模型显示,格施尼茨(Gschnitz)体育场的气候比现在冷了约10 K,并且降水减少到现代年总和的〜25%。阿尔卑斯山东南部可能出现稍微潮湿的趋势。在年轻的树妖早期,△P取决于估计的△Ts。对于-3.5 K的△Ts,沿东阿尔卑斯山北部边缘的△P约为0至+ 15%,在中部谷地△P约为-20至-30%。 △Ts为-5 K的情景通常导致较干燥的条件(△P约为--15%,而△P约为--50%),但降水变化的空间格局保持不变。克罗默峰的发展特征可能是东阿尔卑斯山北缘比今天更加潮湿。在中阿尔卑斯山的山谷中,降水似乎与现代价值相似。从方法上讲,夏季温度与平衡线高度处的降水之间的简单经验关系得出的结果与分析性冰川气象模型相似。但是,分析模型可以更详细地分析影响冰川行为的气候参数。在Egesen-maximum和Kromer的情况下,△P的精度取决于△Ts的可靠性,而△Ts的可靠性源自林线压低和测年控制。对于格施尼茨球场,△Ts的精度主要取决于冰川流动模型,由此得出△P。由于模型对有关基础滑动的假设敏感地做出反应,因此只能计算情景。

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