11.07.2015 Views

ClimateChange Assessment Guide.pdf - University of Waterloo

ClimateChange Assessment Guide.pdf - University of Waterloo

ClimateChange Assessment Guide.pdf - University of Waterloo

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<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.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!