Carbon isotopes in the marine biogeochemistry model FESOM2.1-REcoM3

IF 4 3区地球科学 Q1 GEOSCIENCES, MULTIDISCIPLINARY

Geoscientific Model Development Pub Date : 2024-02-26 DOI:10.5194/gmd-17-1709-2024

M. Butzin, Ying Ye, Christoph Völker, Özgür Gürses, J. Hauck, Peter Köhler

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引用次数: 0

Abstract

Abstract. In this paper we describe the implementation of the carbon isotopes 13C and 14C (radiocarbon) into the marine biogeochemistry model REcoM3. The implementation is tested in long-term equilibrium simulations where REcoM3 is coupled with the ocean general circulation model FESOM2.1, applying a low-resolution configuration and idealized climate forcing. Focusing on the carbon-isotopic composition of dissolved inorganic carbon (δ13CDIC and Δ14CDIC), our model results are largely consistent with reconstructions for the pre-anthropogenic period. Our simulations also exhibit discrepancies, e.g. in upwelling regions and the interior of the North Pacific. Some of these differences are due to the limitations of our ocean circulation model setup, which results in a rather shallow meridional overturning circulation. We additionally study the accuracy of two simplified modelling approaches for dissolved inorganic 14C, which are faster (15 % and about a factor of five, respectively) than the complete consideration of the marine radiocarbon cycle. The accuracy of both simplified approaches is better than 5 %, which should be sufficient for most studies of Δ14CDIC.

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海洋生物地球化学模型 FESOM2.1-REcoM3 中的碳同位素

摘要本文介绍了碳同位素 13C 和 14C（放射性碳）在海洋生物地球化学模式 REcoM3 中的应用。在 REcoM3 与海洋总环流模式 FESOM2.1 的长期平衡模拟中，应用低分辨率配置和理想化气候强迫，对实施情况进行了测试。以溶解无机碳的碳同位素组成（δ13CDIC 和 Δ14CDIC）为重点，我们的模型结果与前人类活动时期的重建结果基本一致。我们的模拟结果也存在差异，例如在上升流区域和北太平洋内部。其中一些差异是由于我们的海洋环流模式设置的局限性造成的，它导致了相当浅的经向翻转环流。此外，我们还研究了两种简化的无机 14C 溶解模拟方法的准确性，这两种方法比完全考虑海洋放射性碳循环的方法更快（分别为 15%和大约 5 倍）。两种简化方法的精确度都优于 5%，这对于大多数 Δ14CDIC 研究来说都是足够的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Geoscientific Model Development GEOSCIENCES, MULTIDISCIPLINARY-

CiteScore

8.60

自引率

9.80%

发文量

352

审稿时长

6-12 weeks

期刊介绍： Geoscientific Model Development (GMD) is an international scientific journal dedicated to the publication and public discussion of the description, development, and evaluation of numerical models of the Earth system and its components. The following manuscript types can be considered for peer-reviewed publication: * geoscientific model descriptions, from statistical models to box models to GCMs; * development and technical papers, describing developments such as new parameterizations or technical aspects of running models such as the reproducibility of results; * new methods for assessment of models, including work on developing new metrics for assessing model performance and novel ways of comparing model results with observational data; * papers describing new standard experiments for assessing model performance or novel ways of comparing model results with observational data; * model experiment descriptions, including experimental details and project protocols; * full evaluations of previously published models.