10) (Rahmstorf et al 2007, 2012a) This suggests that

th

10) (Rahmstorf et al. 2007, 2012a). This suggests that

the B1 scenario lower-limit projections (Table 1; Fig. 11) severely underestimate future sea levels, as they are comparable to the late twentieth century mean SLR prior to the more recent acceleration. Figure 11 also shows the upper limit projections for the fossil-fuel intensive A1FI scenario, both without (A1FIMAX) and with (A1FIMAX+) the contribution of accelerated glacier outflow from the major ice sheets (Meehl et al. 2007). It also shows the range of a semi-empirical projection derived from Rahmstorf (2007) and Grinsted et al. (2009), equivalent to 1.15 m globally over 90 years (James et al. 2011), for various meltwater source scenarios (RGMIN to RGMAX). These projections incorporate learn more observed trends GDC-0994 datasheet and uncertainty in vertical crustal motion

(Table 1; Fig. 11 grey bars with error bars). Using these scenarios, we see that the projected MSL changes over the 90 years 2010–2100 have ranges of 3–43 cm (B1MIN), 39–80 cm (A1FIMAX), and 56–101 cm (A1FIMAX+) for the islands considered here (Fig. 1). However the uncertainty in vertical motion translates to uncertainties in these SLR projections ranging from 5 to 67 cm (Table 1). For the semi-empirical model, the highest local projections (RGMAX) have a range of 106–156 cm (Table 1). A large part of the variability between sites is a function of vertical motion, although the redistribution of meltwater in the MI-503 clinical trial oceans (‘sea-level fingerprinting’) also contributes. Island vulnerability to sea-level rise and storms Much of the concern about accelerating SLR centers on the question of whether reef islands on atolls will be lost through Resveratrol erosion and flooding in future decades. The

low elevation of atoll islands and their resident communities is a serious constraint. The area higher than 2 (3) m MSL accounts for 34 % (7 %) of total land area in the Gilberts (Kiribati) and Tuvalu, 33 % (8 %) in the Cocos (Keeling) Islands, 28 % (7 %) in Diego Garcia, and only 4 % (1 %) in the Maldives (Woodroffe 2008). In general, low atoll elevations facilitate inundation by SLR and flooding by extreme tides, anomalous high water episodes (e.g., El Niño), and storms (Maragos et al. 1973; Yamano et al. 2007; Donner 2012). As discussed above, wave energy on reef island shores is limited by energy loss at the outer reef and controlled by depth over the reef rim and flat. It follows that rising sea levels may produce higher wave energy at reef-island shores, which could lead either to erosion or island washover and aggradation. Recent evidence points to the dynamic resilience of reef islands in the face of twentieth century SLR, as sediment is retained within the atoll and erosion on one part of a reef island may be largely balanced by deposition on another part (Webb and Kench 2010).

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