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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 />

maximum for each case. Then, the ratio of the calculated baseline annual maximum<br />

<strong>and</strong> the calculated projected annual maximum is used as an estimate of the climate<br />

sensitivity of the annual extreme precipitation. This calculated climate sensitivity is then<br />

used to adjust the historical precipitation intensities in the same manner as is shown in<br />

Equation 1.<br />

4.7 Treatment of Uncertainty<br />

All measurements contain uncertainty, <strong>and</strong> estimates of future conditions are more<br />

uncertain than measurements. Each element of a climate impact analysis contains its<br />

own degree of uncertainty. These individual uncertainties do not add up in a<br />

straightforward way, but they do interact <strong>and</strong> each added element does increase the<br />

overall uncertainty of the final estimate of impact. The approach adopted for this work is<br />

intended to make the uncertainty arising from climate models as apparent as possible,<br />

so as to allow well-informed judgments regarding future water resources planning.<br />

In North America, the available projections from GCMs show that temperature is highly<br />

likely to increase. However, projections of future precipitation are more uncertain; e.g.<br />

in some parts of North America model projections disagree on both the sign <strong>and</strong><br />

magnitude of changes in precipitation. The sources of this uncertainty include the data<br />

<strong>and</strong> structure of the GCMs, the methods used to relate GCM projections to points or<br />

small areas on the earth’s surface (downscaling), <strong>and</strong> the projections of future<br />

greenhouse gas emissions. Regardless of its source, uncertainty should at least be<br />

recognized <strong>and</strong> ideally should be quantified when climate projections are used for<br />

planning purposes.<br />

As a practical matter, uncertainty in climate projections manifests in disagreement<br />

between individual projections of future climate conditions <strong>and</strong> impacts. There are 48<br />

statistically downscaled projections of future climate conditions (monthly average<br />

temperature <strong>and</strong> precipitation) that are readily available for the study area. The most<br />

comprehensive picture of uncertainty in future conditions can be obtained by analyzing<br />

a large ensemble of projections, as recommended in the CSA Technical Guidelines.<br />

Accordingly, all of the available projections have been used to produce, for each<br />

duration period <strong>and</strong> frequency, an ensemble containing 48 estimates of precipitation<br />

intensity.<br />

Neither the climate projections nor the results have been broken down according to the<br />

SRES emission scenarios because the intention was to represent the uncertainty in<br />

climate projections collectively, regardless of source.<br />

The overall results report the ensemble mean, the ensemble maximum <strong>and</strong> the 90 th<br />

percentile non-exceedance value for each intensity estimate. How to interpret the range<br />

AMEC Environment & Infrastructure 26

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