2021
DOI: 10.1029/2021gl094739
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Surface Salinity Under Transitioning Ice Cover in the Canada Basin: Climate Model Biases Linked to Vertical Distribution of Fresh Water

Abstract: Rapid sea ice retreat has been extensively observed in the Canada Basin over the past several decades (F. McLaughlin et al., 2011). The increased sea ice melt and river runoff that has collected toward the center of the anticyclonic (convergent)

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Cited by 16 publications
(17 citation statements)
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“…The lower multidecadal variability is associated with the buoyancy forcing (W. M. Kim et al., 2017), and is also partially related to the wind forcing (Yan et al., 2018; J. Zhao & Johns, 2014). Recent reconstructions of the long‐term mean AMOC structure suggests that the Arctic is the northern terminus of the mean AMOC (Zhang & Thomas, 2021), and the simulated lower multidecadal AMOC variability is likely related to the underestimated multidecadal Arctic salinity variations in climate models due to the model biases in the Arctic (Rosenblum et al., 2021). Nevertheless, detailed discussion on the underlying reasons for the muted multidecadal AMOC variability is beyond the scope of this study.…”
Section: Model Simulations and Resultsmentioning
confidence: 99%
“…The lower multidecadal variability is associated with the buoyancy forcing (W. M. Kim et al., 2017), and is also partially related to the wind forcing (Yan et al., 2018; J. Zhao & Johns, 2014). Recent reconstructions of the long‐term mean AMOC structure suggests that the Arctic is the northern terminus of the mean AMOC (Zhang & Thomas, 2021), and the simulated lower multidecadal AMOC variability is likely related to the underestimated multidecadal Arctic salinity variations in climate models due to the model biases in the Arctic (Rosenblum et al., 2021). Nevertheless, detailed discussion on the underlying reasons for the muted multidecadal AMOC variability is beyond the scope of this study.…”
Section: Model Simulations and Resultsmentioning
confidence: 99%
“…Climate models often underestimate the amplitude of multidecadal AMOC variability (e.g., Kim et al., 2018; Yan et al., 2018), which might be related to the underestimated Arctic salinity anomalies in climate models (Rosenblum et al., 2021). Recent observations show significant negative salinity anomalies in the Arctic (e.g., Rosenblum et al., 2021; J. Zhang et al., 2021).…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Climate models often underestimate the amplitude of multidecadal AMOC variability (e.g., Kim et al., 2018; Yan et al., 2018), which might be related to the underestimated Arctic salinity anomalies in climate models (Rosenblum et al., 2021). Recent observations show significant negative salinity anomalies in the Arctic (e.g., Rosenblum et al., 2021; J. Zhang et al., 2021). Monitoring the potential downstream propagations of Arctic salinity anomalies would be valuable for predicting the timing and amplitude of future AMOC changes.…”
Section: Conclusion and Discussionmentioning
confidence: 99%
“…Yet the loss of Arctic Ocean stratification, which is required to prevent winter sea ice formation, may impart hysteresis to subsequent winter sea ice reformation, a possibility that climate modeling studies have not yet investigated in sufficient detail. Indeed, global ice‐ocean models and state‐of‐the‐art coupled climate models struggle to accurately simulate an upper‐ocean stratification that is as stable as observed (G. Holloway et al., 2007; Ilıcak et al., 2016; Rosenblum et al., 2021).…”
Section: Regional Candidate Tipping Elementsmentioning
confidence: 99%