2017
DOI: 10.3390/w9070483
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Analyzing the Effect of Ocean Internal Variability on Depth-Integrated Steric Sea-Level Rise Trends Using a Low-Resolution CESM Ensemble

Abstract: Abstract:Ocean heat uptake is a key indicator of climate change, in part because it contributes to sea-level rise. Quantifying the uncertainties surrounding ocean heat uptake and sea-level rise are important in assessing climate-related risks. Here, comprehensive global climate model ensembles are used to evaluate uncertainties surrounding decadal trends in depth-integrated global steric sea-level rise due to thermal expansion of the ocean. Results are presented against observational estimates, which are used … Show more

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Cited by 8 publications
(11 citation statements)
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“…We present results from two climate change ensemble experiments using the low-resolution version of CESM (Shields et al, 2012), introduced by Sriver et al (2015), Hogan and Sriver (2017), and Vega-Westhoff and . Each ensemble uses the same preindustrial control simulation with constant preindustrial radiative forcing, which was spun up with a full-coupled atmosphere-ocean component, until the deep ocean had reached approximate dynamic equilibrium (by year 4200).…”
Section: Methodsmentioning
confidence: 99%
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“…We present results from two climate change ensemble experiments using the low-resolution version of CESM (Shields et al, 2012), introduced by Sriver et al (2015), Hogan and Sriver (2017), and Vega-Westhoff and . Each ensemble uses the same preindustrial control simulation with constant preindustrial radiative forcing, which was spun up with a full-coupled atmosphere-ocean component, until the deep ocean had reached approximate dynamic equilibrium (by year 4200).…”
Section: Methodsmentioning
confidence: 99%
“…Each ensemble uses the same preindustrial control simulation with constant preindustrial radiative forcing, which was spun up with a full-coupled atmosphere-ocean component, until the deep ocean had reached approximate dynamic equilibrium (by year 4200). This method reduces the effect of model ocean drift from affecting our estimates of ocean variables including the deep ocean (Hogan & Sriver, 2017).…”
Section: Methodsmentioning
confidence: 99%
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“…For simplicity, we approximate the contributions from ocean thermal expansion and land water storage as spatially uniform, and we do not consider changes in dynamic sea surface height. The combined effect of these neglected contributions can be expected to produce first-order differences in local sea level in many areas of the globe (e.g., Hogan & Sriver, 2017;Slangen et al, 2014). Thus, the sea level change maps presented here are meant to capture large-scale behavior driven primarily by land ice mass redistribution, and are not meant as a substitute for local process-based modeling.…”
Section: Estimating Local Sea Level Changementioning
confidence: 99%