估算纯海水年龄的源加权底栖生物减去浮游生物放射性碳方法

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Jinbo Du, Sifan Gu, Zhengyu Liu, Lingwei Li, Ning Zhao
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引用次数: 0

摘要

本文介绍了用底栖生物减重浮游生物(BwP)年龄法估算深海纯水年龄。它将放射性碳数据与海洋模式中考虑多种水源、海洋水库年龄和不断变化的大气\({14\atop}C\)含量的实际表面强迫下的水质量组成演变相结合。来源水的放射性碳年龄不是使用当地浮游生物的放射性碳年龄,而是由全球浮游生物的数据加权得出,并通过染料示踪剂模拟权重。使用迭代方法来解释大气放射性碳的时间变化的影响或所谓的投影年龄问题。在这个海洋模型中,我们证明了我们的BwP年龄有效地再现了由内部海洋环流产生的纯水年龄。对北太平洋的初步应用表明,末次盛冰期(LGM)的纯水年龄并不比今天早多少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A source-weighted Benthic minus Planktonic radiocarbon method for estimating pure ocean water age

A source-weighted Benthic minus Planktonic radiocarbon method for estimating pure ocean water age

This paper introduces the Benthic minus-weighted-Planktonic (BwP) age method to estimate the pure water age of the deep ocean. It combines radiocarbon data with water mass composition evolution in an ocean model under realistic surface forcings accounting for multiple water sources, marine reservoir age, and the evolving atmospheric \({14\atop}C\) content. Instead of using local planktonic radiocarbon age, the source water radiocarbon age is derived from global planktonic data weighted by their water mass contributions, with weights simulated by dye tracers. An iterative approach is used to account for the effect of the temporal variation of the atmospheric radiocarbon or the so-called projection age issue. In this ocean model, we demonstrate that our BwP age effectively reproduces the pure water age that results from the interior ocean circulation. Preliminary application to the North Pacific suggests that the pure water age at the Last Glacial Maximum (LGM) is not much older than today.

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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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