The Ocean Carbon Response to COVID‐Related Emissions Reductions

The Ocean Carbon Response to COVID‐Related Emissions Reductions
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DOI:
10.1029/2020gl092263
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发表时间:
2021-03
影响因子:
5.2
通讯作者:
N. Lovenduski;N. Swart;A. Sutton;J. Fyfe;G. McKinley;C. Sabine;N. Williams
N. Lovenduski;N. Swart;A. Sutton;J. Fyfe;G. McKinley;C. Sabine;N. Williams
中科院分区:
地球科学1区
文献类型:
--
作者:
N. Lovenduski;N. Swart;A. Sutton;J. Fyfe;G. McKinley;C. Sabine;N. Williams

文献摘要

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COVID-19疫情导致全球二氧化碳排放量下降,为研究全球碳循环和气候系统对减排的敏感性提供了独特的机会。最近研究这些排放量下降的反应的努力没有解决它们对海洋的影响,但海洋的碳吸收特别容易受到大气碳浓度变化的影响。在这里,我们使用地球系统模型进行的模拟集合,以探索在海洋表面和上覆大气之间的二氧化碳分压差(Δ pCO 2)中检测COVID相关排放减少的可能性,这是一个定期测量的量。我们在全球范围的Δ pCO 2中发现了一个可归因于COVID的独特指纹,尽管在单个模型实现中很难检测到指纹,除非我们强制模型具有四倍于观测到的减排量的情景。
The decline in global emissions of carbon dioxide due to the COVID‐19 pandemic provides a unique opportunity to investigate the sensitivity of the global carbon cycle and climate system to emissions reductions. Recent efforts to study the response to these emissions declines has not addressed their impact on the ocean, yet ocean carbon absorption is particularly susceptible to changing atmospheric carbon concentrations. Here, we use ensembles of simulations conducted with an Earth system model to explore the potential detection of COVID‐related emissions reductions in the partial pressure difference in carbon dioxide between the surface ocean and overlying atmosphere (ΔpCO2), a quantity that is regularly measured. We find a unique fingerprint in global‐scale ΔpCO2 that is attributable to COVID, though the fingerprint is difficult to detect in individual model realizations unless we force the model with a scenario that has four times the observed emissions reduction.