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ClimateChange Assessment Guide.pdf - University of Waterloo

ClimateChange Assessment Guide.pdf - University of Waterloo

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Climate Change <strong>Assessment</strong>93With climate change scenarios, the impact <strong>of</strong> uncertaintyshould be considered the same as in any traditionalhydrologic assessment. Future climate scenarios simplyadd another level <strong>of</strong> uncertainty to those alreadyassociated with model parameters, model structure,and model calibration. While it is important to reduceuncertainty wherever possible, properly addressinghydrologic uncertainty involves estimating the impact <strong>of</strong>uncertainty on model predictions.Guidance:Estimate the impact <strong>of</strong> uncertainty from futureclimate scenarios, model parameterization,model structure and calibration upon modeloutput.The simulation results should be used to answer thefollowing questions rather than focussing on onlyabsolute results:• What are the potential impacts <strong>of</strong> climate change?The results <strong>of</strong> the climate change scenarios representplausible hydrologic impacts due to climate change.• What are the likely impacts <strong>of</strong> climate change? Thelikely impacts <strong>of</strong> climate change can be estimatedby aggregating all scenarios. For example, thescenarios may lead to statements such as “Eight out<strong>of</strong> ten climate change scenarios project that the 7Q 10streamflow will be reduced by 40%.”Figure 6.10 contains the histogram <strong>of</strong> 7Q 20streamflowestimates (i.e., the lowest average 7-day flow witha 20-year return period) based on 57 future climatescenarios; it illustrates the importance <strong>of</strong> uncertaintywith projecting climate change impacts. The simulationswere based on a calibrated streamflow generationmodel <strong>of</strong> a subwatershed in Southwestern Ontario.The impact to 7Q 20streamflow is estimated to rangefrom -50% to +25%. While this appears to be a largerange <strong>of</strong> uncertainty, statistical methods help to betterdescribe this change. From this example it is possibleto make statements such as “70% <strong>of</strong> the climate changescenarios project that 7Q 20will decrease, and 50%project that 7Q 20will decrease by up to 25% <strong>of</strong> thecurrent value.”Figure 6.10 Histogram <strong>of</strong> estimated 7Q 20streamflow using 57 climate change scenarios

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