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Flood Risk and Vulnerability Analysis Project - Atlantic Climate ...

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concentrations, emissions <strong>and</strong> impacts confirms that climate change is advancing more rapidly<br />

than estimated earlier (Bruce, 2011). When considering flooding risk, planning, <strong>and</strong> defenses to<br />

2080, it is therefore important to also factor in the additional stresses that climate change may<br />

bring. A range of approaches, from sophisticated modeling to largely qualitative, have been<br />

applied in assessing the magnitude of the anticipated changes. Each has its strengths <strong>and</strong><br />

weaknesses <strong>and</strong> some of these are discussed. One of the key climate drivers of Newfoundl<strong>and</strong><br />

<strong>and</strong> Labrador, ocean currents, are examined as well as sea level rise. An analysis of recurring<br />

phenomena responsible for some major floods on the isl<strong>and</strong> of Newfoundl<strong>and</strong>, hurricanes <strong>and</strong><br />

tropical storms, is also included. Finally, some possible worst case scenarios, that have<br />

occurred in the region or in Newfoundl<strong>and</strong> with lesser intensity, <strong>and</strong> that are becoming more<br />

probable through this century, are considered.<br />

As with the broader project of which this is a part, the particular time frames of interest will be<br />

2020, 2050 <strong>and</strong> 2080 <strong>and</strong>, wherever possible, the analysis will focus on the province‟s four<br />

Water Resource Management Division (WRMD) regions illustrated at Figure 2-1.<br />

3.4.1.1 Modeling<br />

Numerical Weather Prediction (NWP) model data was obtained through the Canadian <strong>Climate</strong><br />

Change Scenarios Network site 16 (CCCSN). Specifically, data from the Canadian Regional<br />

<strong>Climate</strong> Model (CRCM) 4.2.3, which is based on the <strong>Climate</strong> Model CRCM4.2 was obtained.<br />

The model was run over the North-American domain with a 45-km horizontal grid-size, 29<br />

vertical levels <strong>and</strong> 15 minute time steps. The regional model was driven by CGCM3/T47<br />

(Scinocca et al. 2008) outputs from a transient simulation following IPCC "observed 20th<br />

century" scenario for years 1961-2000 <strong>and</strong> SRES (Special Report on Emissions Scenarios) A2<br />

scenario for years 2001-2100 (4th member from ensembles of five 20th century <strong>and</strong> SRES A2<br />

simulations). In each figure, where appropriate, the year 2000 is represented by a dashed<br />

vertical line to delineate between the model runs based on historical data <strong>and</strong> the model runs<br />

based on the future scenario. The SRES A2 scenario assumes a very heterogeneous world<br />

with continuously increasing global population <strong>and</strong> regionally oriented economic growth that is<br />

more fragmented <strong>and</strong> slower than other scenarios. The result of this scenario is that it produces<br />

the most carbon dioxide, methane <strong>and</strong> nitrogen dioxide than all other scenarios except for the<br />

one scenario which assumes a fossil fuel intensive future. As such it can be assumed to be a<br />

fairly realistic scenario for a changing world. However, no one model scenario can be claimed<br />

to be more possible than any other.<br />

16 CCCSN Website http://www.cccsn.ca/?page=ensemblescenarios<br />

TA1112733 page 48

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