The impact of the North Atlantic Oscillation on the uptake and accumulation of anthropogenic CO2 by North Atlantic Ocean mode waters
The impact of the North Atlantic Oscillation on the uptake and accumulation of anthropogenic CO2 by North Atlantic Ocean mode waters
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DOI：
10.1029/2010gb003892
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发表时间：
2011-09-21
影响因子：
5.2
通讯作者：
Feely, Richard A.
中科院分区：
文献类型：
--
作者：
Levine, Naomi Marcil;Doney, Scott C.;Feely, Richard A.
北大西洋约占全球海洋人为碳汇的25%。该盆地经历了主要由北大西洋涛动（NAO）驱动的显着年际变化。一套地球化学模式模拟被用来分析年际变化对当代和人为碳（C-anthro）在北大西洋的吸收和储存的影响。更大的冬季混合在积极NAO年的结果增加模式水的形成和随后的增加，在亚热带和副极地C-anthro库存。我们的分析表明，模式水C-anthro库存的变化主要是由于水质量转化率的变化，而不是当地的海气CO2交换驱动的水质量体积的变化。这表明，在海洋内部发现的人为碳的很大一部分可能来自地表沃茨平流进入水的形成区域，而不是从当地的气体交换。因此，气候模式的变化，如NAO，可能会改变人为碳在海洋中的停留时间，通过改变水团转化率。此外，在C-anthro存储的年际变化增加了C-anthro检测和归因的难度，通过水文观测，这是有限的稀疏采样的地下沃茨的时间和空间。
The North Atlantic Ocean accounts for about 25% of the global oceanic anthropogenic carbon sink. This basin experiences significant interannual variability primarily driven by the North Atlantic Oscillation (NAO). A suite of biogeochemical model simulations is used to analyze the impact of interannual variability on the uptake and storage of contemporary and anthropogenic carbon (C-anthro) in the North Atlantic Ocean. Greater winter mixing during positive NAO years results in increased mode water formation and subsequent increases in subtropical and subpolar C-anthro inventories. Our analysis suggests that changes in mode water C-anthro inventories are primarily due to changes in water mass volumes driven by variations in water mass transformation rates rather than local air-sea CO2 exchange. This suggests that a significant portion of anthropogenic carbon found in the ocean interior may be derived from surface waters advected into water formation regions rather than from local gas exchange. Therefore, changes in climate modes, such as the NAO, may alter the residence time of anthropogenic carbon in the ocean by altering the rate of water mass transformation. In addition, interannual variability in C-anthro storage increases the difficulty of C-anthro detection and attribution through hydrographic observations, which are limited by sparse sampling of subsurface waters in time and space.