2015
DOI: 10.1080/07055900.2015.1106401
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Estimating Sea-Level Allowances for Atlantic Canada using the Fifth Assessment Report of the IPCC

Abstract: Sea-level allowances at 22 tide-gauge sites along the east coast of Canada are determined based on projections of regional sea-level rise for the Representative Concentration Pathway 8.5 (RCP8.5) from the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5) and on the statistics of historical tides and storm surges (storm tides). The allowances, which may be used for coastal infrastructure planning, increase with time during the twenty-first century through a combination of mean … Show more

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Cited by 10 publications
(8 citation statements)
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“…Allowances are calculated in two alternative ways using a normal distribution: (1) assuming that the model spread does in fact correspond to the 5% and 95% probability bounds (e.g., [62,63]) and (2) assuming that the model spread being defined as the likely range in IPCC AR5 (p > 66%) corresponds to the 17% and 83% probability bounds. Note that the latter is one interpretation of the likely range.…”
Section: Locationmentioning
confidence: 99%
“…Allowances are calculated in two alternative ways using a normal distribution: (1) assuming that the model spread does in fact correspond to the 5% and 95% probability bounds (e.g., [62,63]) and (2) assuming that the model spread being defined as the likely range in IPCC AR5 (p > 66%) corresponds to the 17% and 83% probability bounds. Note that the latter is one interpretation of the likely range.…”
Section: Locationmentioning
confidence: 99%
“…Table 3 summarizes projected mean relative sea-level change by 2050 (relative to 1995) for a selection of tide gauge station locations within the GOM region. These values are based on projections of sea-level change from the IPCC's Fifth Assessment Report (IPCC, 2014) for the medium and high emissions scenarios, with the addition of contributions from vertical land motion, variation in meltwater distribution, and dynamic oceanographic factors (James et al, 2014;Zhai et al, 2014Zhai et al, , 2015.…”
Section: ) Regional Changes To Sea Level Due To Dynamic Oceanographic Effects and Global Circulation Patternsmentioning
confidence: 99%
“…Their work suggests that along the New Hampshire coast for the medium emission scenario, there is a 1-in-100 chance that relative sea-level rise will exceed 61 cm (2.0 ft) by 2050, and a 1-in-1000 chance that relative sea-level rise will exceed 88 cm (2.9 ft) by 2050. For a selection of tide gauge station locations within the GOM region (James et al, 2014;Zhai et al, 2014Zhai et al, , 2015.…”
Section: ) Regional Changes To Sea Level Due To Dynamic Oceanographic Effects and Global Circulation Patternsmentioning
confidence: 99%
“…The upper 95% confidence limit storm surge residual values for Burntcoat Head were therefore used for this study and were added to the peak of the HHWLT tide time series used for the downstream boundary in the PCSWMM model. Sea level rise for the Bay of Fundy was estimated using values published by DFO (Zhai et al 2014), which are based on predictions from the IPCC Fifth Assessment Report (IPCC 2013) and local crustal subsidence estimations from James et al (2014). According to DFO (Zhai et al 2014), sea level rise was projected to increase by 1.11 m (95th percentile) from 2000 to 2100 for the high emissions scenario RCP 8.5.…”
Section: Extreme Tidal Floodsmentioning
confidence: 99%
“…Sea level rise for the Bay of Fundy was estimated using values published by DFO (Zhai et al 2014), which are based on predictions from the IPCC Fifth Assessment Report (IPCC 2013) and local crustal subsidence estimations from James et al (2014). According to DFO (Zhai et al 2014), sea level rise was projected to increase by 1.11 m (95th percentile) from 2000 to 2100 for the high emissions scenario RCP 8.5. This increase in sea level at Saint John was therefore assumed to be the same as at Truro, and was added to the HHWLT and storm surge time series to produce tide boundary conditions for the PCSWMM model under climate change conditions.…”
Section: Extreme Tidal Floodsmentioning
confidence: 99%