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Modeling the isotopic composition of Antarctic snow using backward trajectories: Simulation of snow pit records

机译:利用后向轨迹模拟南极雪的同位素组成:雪坑记录的模拟

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摘要

[ 1] The quantitative interpretation of isotope records (delta O-18, delta D, and d excess) in ice cores can benefit from a comparison of observed meteorology with associated isotope variability. For this reason we studied four isotope records from snow pits in western Dronning Maud Land (DML), Antarctica, covering the period 1998 - 2001. Timing and magnitude of snowfall events on these locations were monitored using sonic height rangers. For the distinguished snowfall events we evaluated the isotopic composition of the moisture during transport by combining backward trajectory calculations with isotopic modeling, using a Rayleigh-type distillation model (MCIM). The initial isotope ratio of the moisture was determined from monthly mean isotope fields from a general circulation model (ECHAM4). The trajectory analysis showed that the southern Atlantic Ocean is the major moisture source for precipitation in DML. Modeling results along the trajectories revealed that most of the isotopic depletion occurred during the last day of the transport. Finally, a diffusion model was applied to describe the diffusion in the firn layer such that the modeled isotopes could be compared with the observed isotope records. The resulting modeled isotope profiles were mostly in good agreement with the observed seasonal variability in the snow. However, at low temperatures ( especially on the Antarctic interior), magnitude of the total distillation was underestimated. Regarding the d excess parameter, our results show a large influence of advection height on the final value of d excess in precipitation. This in turn points to the importance of the vertical structure of d excess over the oceanic source region, which obscures the classical interpretation of this parameter in terms of temperature and relative humidity in the moisture source region. [References: 65]
机译:[1]冰芯中同位素记录(δO-18,δD和d过量)的定量解释可以从观测到的气象学与相关同位素变异性的比较中受益。因此,我们研究了南极德隆宁莫德土地(DML)西部雪坑的四个同位素记录,涵盖1998年至2001年。使用声波测距仪对这些位置降雪的时间和幅度进行了监测。对于杰出的降雪事件,我们通过使用瑞利型蒸馏模型(MCIM)将反向轨迹计算与同位素建模相结合,评估了运输过程中水分的同位素组成。水分的初始同位素比由普通循环模型(ECHAM4)的月平均同位素场确定。轨迹分析表明,南部大西洋是DML降水的主要水分来源。沿轨迹的建模结果表明,大多数同位素耗减发生在运输的最后一天。最后,应用扩散模型来描述在烧结层中的扩散,以便可以将模拟的同位素与观察到的同位素记录进行比较。生成的模拟同位素分布图与雪中观测到的季节性变化基本吻合。但是,在低温下(特别是在南极内部),总蒸馏量被低估了。关于d过量参数,我们的结果表明对流高度对降水中d过量最终值的影响很大。反过来,这也表明了在海洋源区域中d过量的垂直结构的重要性,这在湿度源区域中的温度和相对湿度方面掩盖了该参数的经典解释。 [参考:65]

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