Prerequisites for calibration
Just a heads-up—this section is still a work in progress! I’ll be revising and expanding it soon to make sure it’s as useful as possible. Curious about what’s already done or currently in the works? Check the changelog for updates.
Before you can even begin the iterative process of adjusting model parameters to match field data, there's some essential groundwork that absolutely must be in place. Think of it like preparing your ingredients before you start cooking a complex meal. This section highlights these crucial prerequisites for a successful and meaningful calibration effort. First and foremost, you need a well-constructed model.
As we detailed in the "Model building" chapter, this means your model should have accurate network topology, correct asset data (pipe sizes, pump curves, etc.), and a sensible initial representation of system operations. Trying to calibrate a poorly built model is an exercise in frustration.
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