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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 />

In 2010, Environment Canada developed updated IDF curves based on historical<br />

observations from the stations at Deer Lake (data from 1966 through 2002), St. John’s<br />

A (data from 1949 through 1996), <strong>and</strong> Stephenville A(data from 1967 through 2007).<br />

The documentation for these historical IDF curves included the record of the intensity of<br />

annual extreme precipitation events for nine event durations ranging from 5 minutes to<br />

24 hours. Another historical IDF curve was developed by CBCL Limited based on a<br />

combination of data from the St. John’s A station <strong>and</strong> a second station at Windsor Lake,<br />

nearby (data provided by WRMD). To obtain projected IDF curves, the precipitation<br />

intensities in the historical IDF curves were adjusted to reflect projected changes in<br />

climate using a statistical modeling technique that is described briefly in the following<br />

paragraph, <strong>and</strong> in more detail in the following sections of this report.<br />

The approach selected for this work uses a statistical model that derives the sensitivity<br />

of extreme precipitation to climate conditions from the historical climate information for a<br />

site. In this case the historical climate was characterized by observations of monthly<br />

average temperature <strong>and</strong> monthly total precipitation at the Deer Lake, St. John’s A <strong>and</strong><br />

Stephenville weather stations. The statistical model, which is described in more detail<br />

below, was fitted to the local climate data <strong>and</strong> the historical monthly precipitation<br />

maxima using a form of regression. Information about future monthly average<br />

temperature <strong>and</strong> monthly total precipitation was obtained from the output of 48 runs of<br />

GCMs. Each GCM run was compared internally to establish a projected future change<br />

in temperature <strong>and</strong> precipitation. These changes were used to adjust the historical<br />

record of temperature <strong>and</strong> precipitation to reflect future conditions, which resulted in 48<br />

future climate scenarios that were based on the historical record but which reflected the<br />

projected future change in climate. This approach, which is referred to as the delta<br />

approach, is used to reduce some of the inevitable bias inherent in projections of future<br />

climate.<br />

The statistical model of extreme precipitation was then run against each of these<br />

adjusted records to obtain estimates of climate-impacted extreme precipitation<br />

intensities for each of the nine durations <strong>and</strong> six return intervals. These estimates<br />

reflect the bias in the statistical model, so one more run of the statistical model was<br />

made against the average historical climate conditions to provide a baseline set of<br />

extreme precipitation intensities. This set of baseline intensities was compared against<br />

each of the 48 estimates of climate-impacted intensities to determine the change in<br />

intensity attributable to the change in climate. These changes were then used to adjust<br />

the values in the historical IDF curve to obtain the final projected values of precipitation<br />

intensity. (This is another application of the delta approach.)<br />

The 48 projections used to characterize future climate conditions produced an equal<br />

number of estimates of projected precipitation intensities for each duration <strong>and</strong> return<br />

AMEC Environment & Infrastructure 2

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