In other words, the statistics of tides and storm surges (storm tides) relative to mean sea level are assumed to be unchanged. It is also assumed that there is no change in wave climate (and therefore in wave setup and runup). The allowance derived from this method depends also on the distribution function of the uncertainty in the rise in mean sea level at some future time. However, once this distribution and the Gumbel scale parameter has been chosen, the remaining derivation of the allowance is entirely objective. If the future sea-level rise were known exactly (i.e. the uncertainty was zero), then the allowance would be equal to the central value of the estimated rise. However, because of the exponential

nature of the Gumbel distribution (which means that overestimates LY294002 molecular weight of sea-level rise more than Ipilimumab datasheet compensate for underestimates of the same magnitude), uncertainties in the projected rise increase the allowance above the central value. Hunter (2012) combined the Gumbel scale parameters derived from 198 tide-gauge

records in the GESLA (Global Extremes Sea-Level Analysis) database (see Menéndez and Woodworth, 2010) with projections of global-average sea-level rise, in order to derive estimates of the allowance around much of the world’s coastlines. The spatial variation of this allowance therefore depended only on variations of the Gumbel scale parameter. We here derive improved estimates of the allowance using the same GESLA tide-gauge records, but spatially varying projections of sea level from the IPCC AR4 ( Meehl et al., 2007) with enhancements to account for glacial isostatic adjustment (GIA), and ongoing Meloxicam changes in the Earth’s loading and gravitational field ( Church et al., 2011). We use projections for the A1FI emission scenario (which the world is broadly following at present; Le

Quéré et al., 2009). The results presented here relate to an approximation of relative sea level (i.e. sea level relative to the land). They include the effects of vertical land motion due to changes in the Earth’s loading and gravitational field caused by past and ongoing changes in land ice. They do not include effects due to local land subsidence produced, for example, by deltaic processes or groundwater withdrawal; separate allowances should be applied to account for these latter effects. A fundamental problem with existing sea-level rise projections is a lack of information on the upper bound for sea-level rise during the 21st century, in part because of our poor knowledge of the contribution from ice sheets (IPCC, 2007). This effectively means that the likelihood of an extreme high sea-level rise (the upper tail of the distribution function of the sea-level rise uncertainty) is poorly known. The results described here are based on relatively thin-tailed distributions (normal and raised cosine) and may therefore not be appropriate if the distribution is fat-tailed (Section 6).