来自布朗山南冰芯的南极东部亚年度分辨率水同位素记录。

IF 5.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Vasileios Gkinis, Sarah Jackson, Nerilie J Abram, Christopher Plummer, Thomas Blunier, Margaret Harlan, Helle Astrid Kjær, Andrew D Moy, Kerttu Maria Peensoo, Thea Quistgaard, Anders Svensson, Tessa R Vance
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引用次数: 0

摘要

我们报告了布朗山南冰芯(MBS,南纬 69.11°,东经 86.31°)稳定水同位素比(δ18O、δD)的高分辨率测量结果。记录涵盖公元 873 年至 2009 年,时间分辨率为亚年度。地表冰芯的初步分析表明,布朗山南冰芯地点的年降雪量(0.3 米冰当量)相对较高,季节性偏向于夏季降雪量较低的季节。该地点的降雪量经常与来自南印度洋中纬度地区的强烈短期同步尺度事件有关。降雪量较高与东风有关,降雪量较低与东南风有关。同位素比率是通过红外腔环向下分光仪测量的,根据 VSMOW/SLAP 尺度进行校准,并根据 MBS2023 时间尺度进行相应的内插报告。我们对 δ18O 和 δD 的测量精度和内部准确度进行了估算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An East Antarctic, sub-annual resolution water isotope record from the Mount Brown South Ice core.

We report high resolution measurements of the stable water isotope ratios (δ18O, δD) from the Mount Brown South ice core (MBS, 69.11° S 86.31° E). The record covers the period 873 - 2009 CE with sub-annual temporal resolution. Preliminary analyses of surface cores have shown the Mount Brown South site has relatively high annual snowfall accumulation (0.3 metres ice equivalent) with a seasonal bias toward lower snowfall during austral summer. Precipitation at the site is frequently related to intense, short term synoptic scale events from the mid-latitudes of the southern Indian Ocean. Higher snowfall regimes are associated with easterly winds, while lower snowfall regimes are associated with south-easterly winds. Isotope ratios are measured with Infra-Red Cavity Ring Down Spectroscopy, calibrated on the VSMOW/SLAP scale and reported on the MBS2023 time scale interpolated accordingly. We provide estimates for measurement precision and internal accuracy for δ18O and δD.

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来源期刊
Scientific Data
Scientific Data Social Sciences-Education
CiteScore
11.20
自引率
4.10%
发文量
689
审稿时长
16 weeks
期刊介绍: Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.
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