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Calibration is the process of changing the parameters or coefficients of a model or functions within a model so that it will produce outputs consistent with measured values of the process being modeled. In this webinar, you will see the conclusion to the unanswered question of how we might go about calibrating the snowmelt model being demonstrated during the June webinar. According to a Water-Resources Investigations Report (USGS, 1985), the available water-holding capacity of the soil was found to be the only parameter needed to sufficiently calibrate a snowmelt-driven runoff model for multiple locations. This was done by optimizing both the volumes and the timing of runoff, with the objective being to minimize the error between observed and predicted annual discharge. During this webinar, I will walk through a similar analysis by running a Sensitivity Analysis to inform us which parameters make good candidates for calibration. I will also use the Optimization feature to calibrate the model using an objective function that demonstrates a closeness of fit to observed records.