CMIP6从全球到局部尺度海洋碳汇的时变变化与不确定性

P. Gooya, N. Swart, R. Hamme
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引用次数: 1

摘要

摘要作为一个主要的人为碳汇,海洋减缓了大气中二氧化碳的增加,调节了气候变化。海洋碳汇的未来变化及其在全球和区域尺度上的不确定性是了解未来气候演变的关键。在这里,我们利用耦合模式比对项目第6阶段(CMIP6)多模式集合的输出报告了历史和未来海洋碳汇的变化和不确定性,并与基于观测的产品进行了比较。我们表明,未来海洋碳汇的变化集中在高度活跃的区域——70%的总碳汇发生在不到40%的全球海洋中。历史吸收与预估的未来碳汇变化之间的高度模式相关性表明,未来的吸收将在很大程度上继续发生在历史上重要的地区。我们按区域对未来碳汇的不确定性来源进行了详细的分解。与cmip5模式一致,在全球尺度上情景不确定性占主导地位,其次是模式不确定性,然后是内部变率。我们展示了内部变率的重要性如何增加到更小的空间尺度,并继续展示了情景、模型和内部变率之间的分解如何在不同的海洋区域之间发生变化,受到不同过程的控制。利用CanESM5大集合,我们发现基于情景的内部变率随时间变化,打破了广泛采用的平稳假设。与平均碳汇一样,我们表明未来海洋碳汇的不确定性也集中在已知的历史吸收区域。信噪比的模式对观测可探测性和出现时间有影响,我们表明它们在空间和场景中都是不同的。我们表明,在不同的情景中,出现时间的最大变化发生在海洋汇对强迫不太敏感的地区——在高度活跃的区域之外。与CMIP5的研究结果一致,我们的结果表明,为了更好地早期发现海洋碳汇的变化,并有效地减少未来碳吸收的不确定性,包括西北大西洋和南大洋在内的高度活跃的区域应该得到更多的建模和观测工作的关注。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-varying changes and uncertainties in the CMIP6 ocean carbon sink from global to local scale
Abstract. As a major sink for anthropogenic carbon, the oceans slow the increase in carbon dioxide in the atmosphere and regulate climate change. Future changes in the ocean carbon sink, and its uncertainty at a global and regional scale, are key to understanding the future evolution of the climate. Here we report on the changes and uncertainties in the historical and future ocean carbon sink using output from the Coupled Model Intercomparison Project Phase 6 (CMIP6) multi-model ensemble and compare to an observation-based product. We show that future changes in the ocean carbon sink are concentrated in highly active regions – 70 % of the total sink occurs in less than 40 % of the global ocean. High pattern correlations between the historical uptake and projected future changes in the carbon sink indicate that future uptake will largely continue to occur in historically important regions. We conduct a detailed breakdown of the sources of uncertainty in the future carbon sink by region. Consistent with CMIP5 models, scenario uncertainty dominates at the global scale, followed by model uncertainty and then internal variability. We demonstrate how the importance of internal variability increases moving to smaller spatial scales and go on to show how the breakdown between scenario, model, and internal variability changes between different ocean regions, governed by different processes. Using the CanESM5 large ensemble we show that internal variability changes with time based on the scenario, breaking the widely employed assumption of stationarity. As with the mean sink, we show that uncertainty in the future ocean carbon sink is also concentrated in the known regions of historical uptake. Patterns in the signal-to-noise ratio have implications for observational detectability and time of emergence, which we show to vary both in space and with scenario. We show that the largest variations in emergence time across scenarios occur in regions where the ocean sink is less sensitive to forcing – outside of the highly active regions. In agreement with CMIP5 studies, our results suggest that for a better chance of early detection of changes in the ocean carbon sink and to efficiently reduce uncertainty in future carbon uptake, highly active regions, including the northwestern Atlantic and the Southern Ocean, should receive additional focus for modeling and observational efforts.
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