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

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Development of <strong>Project</strong>ed Intensity-Duration-Frequency Curves<br />

for Corner Brook <strong>and</strong> Goulds/Petty Harbour, Newfoundl<strong>and</strong> May 16, 2012<br />

3.0 TIME FRAMES<br />

Time frames adopted for this work are summarized in Table 3-1.<br />

Table 3-1 - <strong>Project</strong> Time Frames<br />

Description<br />

Time Frame<br />

<strong>Climate</strong> simulation overlap period 1950-1999<br />

<strong>Climate</strong> simulation projection period 2000-2099<br />

2020 projection averaging period 2005-2034<br />

2050 projection averaging period 2035-2064<br />

2080 projection averaging period 2065-2094<br />

4.0 APPROACH<br />

4.1 C<strong>and</strong>idate Approaches<br />

The Canadian St<strong>and</strong>ards Association (CSA) has published the Technical Guide,<br />

Development interpretation <strong>and</strong> use of rainfall intensity-duration-frequency information:<br />

Guideline for Canadian water resources practitioners (Technical Guide) (CSA, 2010),<br />

which provides background about the methodologies used to develop IDF curves based<br />

on current climate, <strong>and</strong> a discussion about methodologies that are potentially applicable<br />

to the development of IDF curves that reflect projected future climate conditions.<br />

Appendix 8 of the Technical Guide provides a review of several approaches that, at the<br />

time it was compiled, had been applied to estimate the sensitivity of extreme<br />

precipitation to projected climate change. For detail on the available methods, the<br />

reader is directed to the Technical Guide <strong>and</strong> the references therein. The methods are<br />

summarized below in several categories:<br />

<br />

<br />

<br />

Extrapolation of trends. Linear regression is applied to observed historical data to<br />

characterize the trend in short-term precipitation extremes <strong>and</strong> these statistical<br />

models are then used to extend the trend to future periods.<br />

Direct interpretation of GCM output. GCMs provide output at a daily time step <strong>and</strong> at<br />

a grid scale that can range from about 1 to 4 degrees (approximately 100 to 400 km<br />

on a side at the equator, with the longitudinal dimension decreasing with increasing<br />

latitude). Some studies (e.g. Kharin et al, 2007) have used daily GCM output to<br />

characterize daily precipitation extremes. These methods cannot directly address<br />

time steps shorter than the time step of the GCM.<br />

Direct interpretation of Regional <strong>Climate</strong> Model Output. Regional climate models<br />

(RCMs) use a finer grid scale than is used by a GCM (e.g. 25 km for an RCM versus<br />

100-400 km for a GCM). Because RCMs are usually ―nested‖, that is, their spatial<br />

AMEC Environment & Infrastructure 17

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