首页> 外文期刊>Canadian journal of earth sciences >Identification of coherent links between interannual sedimentary structures and daily meteorological observations in Arctic proglacial lacustrine varves: potentials and limitations
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Identification of coherent links between interannual sedimentary structures and daily meteorological observations in Arctic proglacial lacustrine varves: potentials and limitations

机译:北极冰川湖湖脉年际沉积结构与日常气象观测之间的连贯联系的识别:潜力和局限性

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Proglacial lacustrine sediments from High Arctic Lake R (76 degrees 17.9'N, 90 degrees 59.3'W, unofficial name) are shown to be annually laminated (varved) and contain a variety of subannual structures. The formation of the subannual structures (and overall varve) was controlled by a combination of meteorologic (temperature and rainfall) and geomorphic factors. Using a training set of the ten thickest varves in the 38-year sedimentary record, a heuristic model was developed to link subannual structures with regional meteorological conditions. Within the training set, significant correlations were shown between subannual structure thickness and the magnitude of the corresponding melt event, defined as a period of continuously positive temperature. However, these correlations deteriorated as the varves progressively thinned, and several varves exhibited no relationship between their subannual structures and respective meteorological conditions. Grain size analyses showed that the thin varves were significantly finer than the thick varves and are inferred to reflect changed sediment inflow patterns that altered deposition and reduced the fidelity of the model. Despite these complexities, this study identified the potential to produce long-term, subannual reconstructions of weather conditions. Model results revealed the limitations of simple varve-meteorology relationships, as well as identified necessary environmental and sampling conditions required to produce a more robust model for future applications.
机译:R高北极湖(76度17.9'N,90度59.3'W,非官方名称)的冰川湖沉积物显示为每年叠层(成脉状),并且包含各种下半年构造。通过气象(温度和降雨)和地貌因素的组合来控制次年期结构(和总的阀门)的形成。利用38年沉积记录中十个最厚的脉管的训练集,开发了一种启发式模型,将亚年纪结构与区域气象条件联系起来。在训练组中,显示出年际结构厚度和相应融化事件的幅度之间的显着相关性,融化事件的幅度定义为持续正温度的时间段。但是,这些相关性随着瓣的逐渐变薄而变差,并且几个瓣的年纪结构和各自的气象条件之间没有关系。粒度分析表明,薄脉管比厚脉管细得多,据推测,它们反映了改变的沉积物流入模式,从而改变了沉积并降低了模型的保真度。尽管存在这些复杂性,但本研究仍确定了产生长期的,每年一次的天气状况重建的潜力。模型结果揭示了简单的气门-气象关系的局限性,并确定了必要的环境和采样条件,以产生更强大的模型以供将来应用。

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