2014
DOI: 10.1016/j.jmarsys.2012.08.007
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Global sea level rise scenarios adapted to the Finnish coast

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Cited by 60 publications
(69 citation statements)
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“…2 is comparable to high-end projections from Spada et al (2013) and Simpson et al (2012), the 'semi-empirical' regional projection of Perrette et al (2013), and the central projections from Kopp et al (2014) and Johansson et al (2014). The RSL projection uncertainties are The 50% median projection can be considered the best guess.…”
Section: Discussionmentioning
confidence: 71%
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“…2 is comparable to high-end projections from Spada et al (2013) and Simpson et al (2012), the 'semi-empirical' regional projection of Perrette et al (2013), and the central projections from Kopp et al (2014) and Johansson et al (2014). The RSL projection uncertainties are The 50% median projection can be considered the best guess.…”
Section: Discussionmentioning
confidence: 71%
“…There have been several national projections of regional sea level for the Netherlands (Katsman et al 2008, Norway (Simpson et al 2012), Finland (Johansson et al 2014), and the British Isles (Lowe et al 2009, Howard et al 2014. Most of these studies focus on providing a best-guess or a high-end estimate of future relative sea level rise, which does not have any probability attached (with exception of Johansson et al 2014). However, probabilistic projections enable adaptation planning with different levels of risk tolerance, but current models do not allow a quantification of the magnitude and risk associated with the marine ice sheet instability (Church et al 2013a).…”
Section: Introductionmentioning
confidence: 99%
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“…Trend analysis of the sea level data for the Hanko area was carried out for the period 1971-2010 using the Mann-Kendall and Sen non-parametric tests [46,61]. Assuming a linear trend, the sea level in the Hanko area decreased by 1.33 mm yr reported elsewhere [67,68]. It has to be considered, however, that the time series taken into account in this study started in 1971 and was rather short.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, using different contributors including meteorological drivers on sea level trends along the Finnish coast, Johansson et al [17] projected the sea level rise based on the CMIP3 simulations. Investigating the connections of the NAO index and the zonal component of the geostrophic wind to sea level variability, they found that 37-46% of sea level variance can be explained by the NAO index, but the zonal geostrophic wind explains 84-89% of the variance of sea level on interannual time scales.…”
Section: Introductionmentioning
confidence: 99%