ClimateChange Assessment Guide.pdf - University of Waterloo
ClimateChange Assessment Guide.pdf - University of Waterloo
ClimateChange Assessment Guide.pdf - University of Waterloo
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<strong>Guide</strong> for <strong>Assessment</strong> <strong>of</strong> Hydrologic Effects <strong>of</strong> Climate Change in Ontario92Figure 6.9 Flow exceedance charts illustrate the range <strong>of</strong> flows predicted for each scenario6.6.7 Consider UncertaintyA major goal in hydrologic modelling is to identify andquantify the sources <strong>of</strong> uncertainty in the modellingprocess. Uncertainty is an unavoidable element <strong>of</strong>climate change hydrologic assessments and is a result <strong>of</strong>a number <strong>of</strong> factors as follows:• Future Climate Scenarios. The most obvious source<strong>of</strong> uncertainty when assessing the impacts <strong>of</strong> climatechange on hydrology relates to the climate changescenarios themselves. While each climate scenariois considered to be plausible, there is a wide range<strong>of</strong> variability and uncertainty in predicted changes inprecipitation and temperature.• Model Parameters. There is never a unique solutionto a hydrologic modelling problem with an infinitecombination <strong>of</strong> model parameters that mightresult in a model considered to have an acceptablecalibration. While these different sets <strong>of</strong> parametersmay result in similar predictions <strong>of</strong> historicalstreamflows, they may produce different predictions<strong>of</strong> future flows in response to climate change or landuse changes.• Model Structure and Formulation. Hydrologicmodels range in their representation <strong>of</strong> physicalprocesses. Some models are more physically basedwhile others are based on empirical formulationsderived from historical conditions. Similar to the role<strong>of</strong> parameterization on uncertainty, the level to whicha hydrologic model represents physical processes alsoinfluences uncertainty. For example, some modelsoversimplify soil water storage and evapotranspirationand subsequently do a poor job <strong>of</strong> predicting theimpacts <strong>of</strong> climate change on those processes.• Calibration. The accuracy to which a hydrologicmodel is calibrated influences the certainty <strong>of</strong> modelpredictions; this certainty should be carried throughto the interpretation <strong>of</strong> model results. For example,if the calibrated model is shown to poorly representlow flow conditions, the uncertainty associated withpredicted impacts to low flow conditions should beconsidered when evaluating the results.