2013
DOI: 10.1016/b978-0-12-391851-2.00027-1
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Sea-Level and Ocean Heat-Content Change

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Cited by 15 publications
(11 citation statements)
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References 222 publications
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“…Inter-annual variations in the predicted distribution of fin whales showed that increased use of the Irminger Sea in 2001 and 2007 ( Figures 10D,E) coincided with an increase in SSH in the area. Sea-level changes are often related to ocean heat-content changes, as water expands with increasing temperatures (Church et al, 2013). The observed changes in SST and SSH over the years have previously been reported to have ecosystem consequences (Ottersen et al, 2001;Häkkinen and Rhines, 2004;Hátún et al, 2009).…”
Section: Fin Whalesmentioning
confidence: 97%
“…Inter-annual variations in the predicted distribution of fin whales showed that increased use of the Irminger Sea in 2001 and 2007 ( Figures 10D,E) coincided with an increase in SSH in the area. Sea-level changes are often related to ocean heat-content changes, as water expands with increasing temperatures (Church et al, 2013). The observed changes in SST and SSH over the years have previously been reported to have ecosystem consequences (Ottersen et al, 2001;Häkkinen and Rhines, 2004;Hátún et al, 2009).…”
Section: Fin Whalesmentioning
confidence: 97%
“…Assessing the contribution of polar ice sheets to future sea level rise (SLR) is a major challenge that ice-sheet models are intended to address. Most of the ice loss from the Antarctic ice sheet, which constitutes the largest potential source of future SLR, occurs through solid ice discharge into the ocean and is controlled by marine terminating glaciers (Church and others, 2013). In this context, accurate knowledge of the position of the grounding line (GL), the limit beyond which grounded ice starts floating, is critical for reliable calculations of the current mass budget (Rignot and others, 2011) and proper modelling of its dynamics is required for future SLR projections (Durand and Pattyn, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Figure 7A shows the range of sea-level rise projections that were applied in the model to calculate shoreline response, which reflect the Intergovernmental Panel on Climate Change (IPCC) global mean sea-level rise (GMSL) projections from the Fifth Assessment Report [19]. The IPCC projections for southeast Australia suggest a sea-level rise of around 0-10% above the global average [92,93]. As GMSL projections presented in the Fifth Assessment Report (AR5) were restricted to the "likely" range (17th to 83rd percentiles), we used linear extrapolation to extend the distribution tails to cover the 0-100th percentile range.…”
Section: Model Applicationsmentioning
confidence: 99%