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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 />

analysis of local conditions, or for local hydrologic modeling, it must go through a<br />

process called downscaling, which relates the large scale GCM data to detailed<br />

terrain <strong>and</strong> observed climate conditions. In addition, GCM projections contain bias,<br />

which is exhibited as systematic error in replicating observed conditions. These<br />

biases are usually reduced during downscaling with an ex post calibration process<br />

referred to as bias correction.<br />

This project used a set of readily-available downscaled projections from the World<br />

<strong>Climate</strong> Research Programme's (WCRP's) Coupled Model Intercomparison <strong>Project</strong><br />

Phase 3 (CMIP3) multi-model dataset (Meehl et al., 2007) that have been biascorrected<br />

<strong>and</strong> spatially downscaled <strong>and</strong> archived by Maurer (2011). These data were<br />

downscaled as described by Maurer et al. (2009) using the bias-correction/spatial<br />

downscaling method (Wood et al., 2004) to a 0.5 degree grid, based on the 1950-1999<br />

gridded observations of Adam <strong>and</strong> Lettenmaier (2003). The archive contains output<br />

from 48 model runs, or projections, of monthly precipitation <strong>and</strong> temperature, with each<br />

projection consisting of an overlap period from 1950 through 1999 <strong>and</strong> a projection<br />

period from 2000 through 2099. Each projection is the output from a run of one of 16<br />

GCMs using one of the B1, A1B or A2 emissions scenarios. The GCMs in the archive<br />

are listed in Table 2-10.<br />

AMEC Environment & Infrastructure 15

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