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ClimateChange Assessment Guide.pdf - University of Waterloo

ClimateChange Assessment Guide.pdf - University of Waterloo

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Future Climate Scenarios21Figure 3.2 Development <strong>of</strong> climate models through incorporation <strong>of</strong> new components/processes ((Albritton et al., 2001)Climate Change 2001: The Scientific Basis. Contribution <strong>of</strong> Working Group I to the Third <strong>Assessment</strong> Report <strong>of</strong> theIntergovernmental Panel on Climate Change, Box 3, Figure 1. Cambridge <strong>University</strong> Press)however, improvements have also continued in existingcomponents and model resolution - in the vertical foratmosphere and ocean layers, and in the horizontal gridspacing. Developments in GCMs have been limited bycomputing capability as well as understanding <strong>of</strong> thephysical processes that influence climate.A complementary development to GCMs is limited-areamodelling or a regional climate model (RCM). RCMscover only a portion <strong>of</strong> the globe, use a finer scalegrid than GCMs and incorporate smaller-scale physicalprocesses particularly interactive land-surface models.RCMs are discussed in more detail in Chapter 4 alongwith other methods for developing local scale climatedata.The performance <strong>of</strong> GCMs in reproducing featuresand trends <strong>of</strong> past and recent climate is treatedextensively in Bader et al. (2008) and Randall et al.(2007). The availability <strong>of</strong> the CMIP3 results allowed forthe development <strong>of</strong> metrics from a wide range <strong>of</strong> GCMoutput to compare model results (Gleckler et al., 2008;Randall et al., 2007). Current climate models simulate theseasonal cycle and large-scale geographical variationsin surface temperature very well; correlation betweenobserved and modelled temperature is 95% or better(CCCP, 2008) (Covey et al., 2003). These models arealso very good at simulating storms and jet streams inthe mid latitudes. Simulation <strong>of</strong> precipitation, however,remains a challenge with a correlation <strong>of</strong> only about 50to 60% for seasonal mean precipitation at the scale <strong>of</strong>a few hundreds <strong>of</strong> kilometres (CCCP, 2008; Covey et al.,2003). When precipitation is sorted into light, moderateand heavy categories, models reproduce the observedextent <strong>of</strong> moderate precipitation (10 to 20 mm/day)but underestimate that <strong>of</strong> heavy precipitation andoverestimate the extent <strong>of</strong> light precipitation (Dai, 2006).An emerging area <strong>of</strong> research is the development <strong>of</strong>quantitative metrics to assess the performance <strong>of</strong> GCMsin simulating large-scale climatological features toprovide information to aid in the selection <strong>of</strong> GCMs forclimate change scenario development (Gleckler et al.,2008; Randall et al., 2007). It is not clear what aspects<strong>of</strong> current climate need to be well simulated in order toprovide the best projections <strong>of</strong> future climate (Gleckler

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