The CISE-LOCEAN sea water isotopic database (1998–2021)
The CISE-LOCEAN sea water isotopic database (1998–2021)
复制标题
CISE-LOCEAN海水同位素数据库（1998-2021）
DOI：
10.5194/essd-2022-34
复制
发表时间：
2022
影响因子：
11.4
通讯作者：
I. Yashayaev
中科院分区：
文献类型：
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作者：
G. Reverdin;C. Waelbroeck;C. Pierre;C. Akhoudas;G. Aloisi;M. Benetti;B. Bourlès;M. Danielsen;J. Demange;D. Diverrés;J. Gascard;M. Houssais;H. Le Goff;P. Lherminier;C. Lo Monaco;H. Mercier;N. Metzl;S. Morisset;Aicha Naamar;T. Reynaud;J. Sallée;V. Thierry;S. Hartman;Edward Mawji;S. Ólafsdóttir;T. Kanzow;A. Voelker;I. Yashayaev
抽象。介绍了CISE-LOCEAN海水同位素数据集（δ 18 O、δ 2 H，后改为δD）的特点。该数据集涵盖了1998年至2021年的时间段，目前包括近8000个数据条目，所有数据都有δ 18 O，其中四分之三还有δD，与时间和空间戳以及通常的盐度测量相关。直到2010年，样品都是通过同位素比率质谱法进行分析的，从那以后主要是通过光腔衰荡光谱法（CRDS）进行分析。该数据集中单个数据的仪器不确定度通常具有低至0.03 / 0.15 ‰的δ 18 O和δD标准差。另一个不确定性与用于将每日数据转换为VSMOW标度的内部标准的不确定同位素组成有关。不同的比较表明，自2010年以来，后者的δ 18 O和δD最多保持在0.03 / 0.20 ‰之间。因此，将两者结合起来表明δ 18 O/ δD的标准偏差至多为0.05 / 0.25 ‰。最后，对于一些样品，我们发现在收集和储存过程中已经蒸发，需要调整CRDS产生的同位素数据，根据d-过量。这增加了δ 18 O和δD调整后数据的不确定性，约为0.05 / 0.10 ‰。保存样本的问题肯定是数据库部分质量损失的一个重要来源，而“小”影响可能仍未被发现。当可以获得时间序列时（例如在南印度洋或北大西洋的副极地环流），可以对数据集的子集测试数据库的内部一致性。这些比较表明，对于δ 18 O/ δD，空间（对于一次航行）或时间（超过一年）平均数据的总体不确定性在0.03 / 0.15 ‰的量级或更小。另一方面，与其他实验室分析的重复海水数据或与深海区域的其他数据集进行的17次比较表明分散程度较大。当对δ 18 O进行17次比较时，我们发现一个差异接近于LOCEAN将盐水数据从活度转换为浓度标度所应用的调整。这种差异是意料之中的，但发现的分散性表明，在合并来自不同实验室的数据集时需要小心。北大西洋副极地环流表面时间序列的例子说明了水同位素组成的时间变化，可以用仔细验证的数据集检测。
Abstract. The characteristics of the CISE-LOCEAN sea water isotope data set (δ18O, δ2H, later designed as δD) are presented. This data set covers the time period from 1998 to 2021 and currently includes close to 8000 data entries, all with δ18O, three quarters of them also with δD, associated with a time and space stamp and usually a salinity measurement. Until 2010, samples were analysed by isotopic ratio mass spectrometry, and since then mostly by cavity ring-down spectroscopy (CRDS). Instrumental uncertainty on individual data in this dataset is usually with a standard deviation as low as 0.03 / 0.15 ‰ for δ18O and δD. An additional uncertainty is related to uncertain isotopic composition of the in-house standards that are used to convert daily data into the VSMOW scale. Different comparisons suggest that since 2010 the latter have remained within at most 0.03 / 0.20 ‰ for δ18O and δD. Therefore, combining the two suggests a standard deviation of at most 0.05 / 0.25 ‰ for δ18O / δD. Finally, for some samples, we find that there has been evaporation during collection and storage, requiring adjustment of the isotopic data produced by CRDS, based on d-excess. This adds an uncertainty on the adjusted data of roughly 0.05 / 0.10 ‰ on δ18O and δD. This issue of conservation of samples is certainly a strong source of quality loss for parts of the database, and ‘small’ effects may have remained undetected. The internal consistency of the database can be tested for subsets of the dataset, when time series can be obtained (such as in the southern Indian Ocean or North Atlantic subpolar gyre). These comparisons suggest that the overall uncertainty of the spatially (for a cruise) or temporally (over a year) averaged data is on the order of or less than 0.03 / 0.15 ‰ for δ18O / δD. On the other hand, 17 comparisons with duplicate sea water data analysed in other laboratories or with other data sets in deep regions suggest a larger scatter. When averaging the 17 comparisons done for δ18O, we find a difference close to the adjustment applied at LOCEAN to convert salty water data from the activity to the concentration scale. Such a difference is expected, but the scatter found suggests that care is needed when merging datasets from different laboratories. Examples of time series in the surface North Atlantic subpolar gyre illustrate the temporal changes in water isotope composition that can be detected with a carefully validated dataset.
DOI：
10.31223/x5dg67
发表时间：
2022
期刊：
--
影响因子：
--
作者：
Akhoudas C
通讯作者：
Akhoudas C
2014年告别角周围淡水来源和分布
影响因子：
--
作者：
Benetti M
通讯作者：
Benetti M
影响因子：
16.6
作者：
Holliday, N. Penny;Bersch, Manfred;Yashayaev, Igor
通讯作者：
Yashayaev, Igor