Abstract:A regional Arctic ice ocean model incorporating biogeochemical processes occurring inside the sea ice and water column is used to assess changes to the Arctic Ocean's carbon system, including oceanic carbon uptake and ocean acidification, over the recent period of Arctic sea ice decline (1980–2015). Two novel modifications are the following: (1) incorporation of carbon uptake by sea ice algae and (2) modification of the sea ice carbon pump to allow for vertical transport by brine plumes with high concentration… Show more
“…To reduce the uncertainty rising from limited observations, great efforts have been made by the oceanographic community to extend the spatial and temporal coverage of p CO 2 on the Chukchi shelf. Approaches such as interpolation (Evans et al., 2015), ocean‐biogeochemistry coupled model (Manizza et al., 2019; Mortenson et al., 2020), and artificial neural network‐based self‐organizing map (SOM) technique (Laruelle et al., 2017; Roobaert et al., 2019; Yasunaka et al., 2016) have been proposed to create monthly or annual climatology of ∆ p CO 2 in western Arctic coastal ocean. These approaches provide general variability in biogeochemical characteristics within this broad and rapidly changing polar coastal ocean, however, their applicability in the Chukchi Sea may have limitations.…”
The Chukchi Sea is a globally important sink of atmospheric carbon dioxide (CO 2 ), accounting for ∼5-8% of the coastal sink of CO 2 (Bates, 2006;Borges et al., 2005;Laruelle et al., 2014). The budget and temporal variability of the CO 2 sink in Chukchi Sea have been calculated and examined (Bates, 2006;Evans et al., 2015;Laruelle et al., 2014;Manizza et al., 2019), but most of these studies are based on scarce data of uneven spatial and temporal distribution, which is subject to large uncertainties. The Arctic Ocean has experienced dramatic physical and ecological changes due to the rapid climate change, inducing sea ice retreating (Screen & Simmonds, 2010), freshwater storage increasing (Li et al., 2009), warming of the sea surface temperature (Steele et al., 2008), and increasing of phytoplankton primary production (Lewis et al., 2020). All these changes profoundly influence the sea surface partial pressure of CO 2 (pCO 2 ). The difference between sea surface and atmospheric pCO 2 , namely ∆pCO 2 , determines the direction of the air-sea CO 2 gas exchange. Yet, long-term trend of CO 2 sink capacity in response to climate change in this area is rarely studied primarily due to a lack of long-term continuous pCO 2 measurements. A few studies (Bates, 2006;Ouyang et al., 2020) found the potential increase in CO 2 uptake under climate change on the Chukchi shelf;
“…To reduce the uncertainty rising from limited observations, great efforts have been made by the oceanographic community to extend the spatial and temporal coverage of p CO 2 on the Chukchi shelf. Approaches such as interpolation (Evans et al., 2015), ocean‐biogeochemistry coupled model (Manizza et al., 2019; Mortenson et al., 2020), and artificial neural network‐based self‐organizing map (SOM) technique (Laruelle et al., 2017; Roobaert et al., 2019; Yasunaka et al., 2016) have been proposed to create monthly or annual climatology of ∆ p CO 2 in western Arctic coastal ocean. These approaches provide general variability in biogeochemical characteristics within this broad and rapidly changing polar coastal ocean, however, their applicability in the Chukchi Sea may have limitations.…”
The Chukchi Sea is a globally important sink of atmospheric carbon dioxide (CO 2 ), accounting for ∼5-8% of the coastal sink of CO 2 (Bates, 2006;Borges et al., 2005;Laruelle et al., 2014). The budget and temporal variability of the CO 2 sink in Chukchi Sea have been calculated and examined (Bates, 2006;Evans et al., 2015;Laruelle et al., 2014;Manizza et al., 2019), but most of these studies are based on scarce data of uneven spatial and temporal distribution, which is subject to large uncertainties. The Arctic Ocean has experienced dramatic physical and ecological changes due to the rapid climate change, inducing sea ice retreating (Screen & Simmonds, 2010), freshwater storage increasing (Li et al., 2009), warming of the sea surface temperature (Steele et al., 2008), and increasing of phytoplankton primary production (Lewis et al., 2020). All these changes profoundly influence the sea surface partial pressure of CO 2 (pCO 2 ). The difference between sea surface and atmospheric pCO 2 , namely ∆pCO 2 , determines the direction of the air-sea CO 2 gas exchange. Yet, long-term trend of CO 2 sink capacity in response to climate change in this area is rarely studied primarily due to a lack of long-term continuous pCO 2 measurements. A few studies (Bates, 2006;Ouyang et al., 2020) found the potential increase in CO 2 uptake under climate change on the Chukchi shelf;
“…In addition to complex autonomous instruments, the distributed deployment of position-tracking buoys has provided information about the localized and aggregate ice dynamics, allowing relationships to the wind and ocean forcing to be identified. The corresponding time period, when the Central Observatory was unattended, was a critical time to complete our observations of the full seasonal cycle of the ice within the DN, including optical measurements of biology and chemistry, all subject to changing rapidly with climate change (Bluhm et al, 2020;Mortenson et al, 2020). Hence, there is a continuous need for more telemetered, autonomous observations, such as those of the DN.…”
Central Arctic properties and processes are important to the regional and global coupled climate system. The Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) Distributed Network (DN) of autonomous ice-tethered systems aimed to bridge gaps in our understanding of temporal and spatial scales, in particular with respect to the resolution of Earth system models. By characterizing variability around local measurements made at a Central Observatory the DN covers both the coupled system interactions involving the ocean-ice-atmosphere interfaces as well as three-dimensional processes in the ocean, sea ice, and atmosphere. The more than 200 autonomous instruments ("buoys") were of varying complexity and set up at different sites mostly within 50 km of the Central Observatory. During an exemplary midwinter month, the DN observations captured the spatial variability of atmospheric processes on sub-monthly time scales, but less so for monthly means. They show significant variability in snow depth and ice thickness, and provide a temporally and spatially resolved characterization of ice motion and deformation, showing coherency at the DN scale but less at smaller spatial scales. Ocean data show the background gradient across the DN as well as spatially dependent time variability due to local mixed layer submesoscale and mesoscale processes, influenced by a variable ice cover. The second case (May-June 2020) illustrates the utility of the DN during the absence of manually obtained data by providing continuity of physical and biological observations during this key transitional period. We show examples of synergies between the extensive MOSAiC remote sensing observations and numerical modelling, such as estimating the skill of ice drift forecasts and evaluating coupled system modelling. The MOSAiC DN has been proven to enable analysis of local to mesoscale processes in the coupled atmosphere-ice-ocean system and has the potential to improve model parameterizations of important, unresolved processes in the future.
“…Due to the high solubility of CO 2 in low-temperature waters, the Arctic Ocean and its adjacent marginal seas serve as a significant CO 2 sink (Anderson and Kaltin, 2016;Yasunaka et al, 2018). Observations and model simulations have indicated that the Arctic Ocean absorbs 58-180 Tg C per year, accounting for 2%-7% of the global oceanic carbon sink (Manizza et al, 2013;Yasunaka et al, 2016;Mortenson et al, 2020). In recent decades, rapid and diverse changes, for example the increased seawater temperature, ice sheet melt, and an extended ice-free period, have occurred in Arctic ecosystems (Screen and Simmonds, 2010;Shepherd et al, 2012;Jeong et al, 2018).…”
The strong CO2 sink in Arctic Ocean plays a significant role in the global carbon budget. As a high-latitude oceanic ecosystem, the features of sea surface pCO2 and air-sea CO2 flux are significantly influenced by sea ice melt; however, our understanding of pCO2 evolution during sea ice melt remains limited. In this study, we investigate the dynamics of pCO2 during the progression of sea ice melt in the western Arctic Ocean based on data from two cruises conducted in 2010 and 2012. Our findings reveal substantial spatiotemporal variability in surface pCO2 on the Chukchi Sea shelf and Canada Basin, with a boundary along the shelf breaks at depths of 250-500 m isobaths. On the Chukchi Sea shelf, strong biological consumption dominates pCO2 variability. Moreover, in Canada Basin, the pCO2 dynamics are modulated by various processes. During the active sea ice melt stage before sea ice concentration decreases to 15%, biological production through photosynthetic processes and dilution of ice melt water lead to a reduction in DIC concentration and subsequent decline in pCO2. Further, these effects are counteracted by the air-sea CO2 exchange at the sea surface which tends to increase seawater DIC and subsequently elevate surface pCO2. Compared to the pCO2 reduction resulting from biological production and dilution effects, the contribution of air-sea CO2 exchange is significantly lower. The combined effects of these factors have a significant impact on reducing pCO2 during this stage. Conversely, during the post sea ice melt stage, an increase in pCO2 resulting from high temperatures and air-sea CO2 exchange outweighs its decrease caused by biological production. Their combined effects result in a prevailing increase in sea surface pCO2. We argue that enhanced air-sea CO2 uptake under high wind speeds also contributes to the high sea surface pCO2 observed in 2012, during both active sea ice melt stage and post sea ice melt stage. The present study reports, for the first time, the carbonate dynamics and pCO2 controlling processes during the active sea ice melt stage. These findings have implications for accurate estimation of air-sea CO2 fluxes and improved modeling simulations within the Arctic Ocean.
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