The iterative calibration process
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.
Model calibration is rarely a straightforward, "one-shot" effort where you make a few tweaks and everything magically aligns. Instead, it's almost always an iterative process, a cycle of adjustment, simulation, comparison, and further refinement. This section details the step-by-step, iterative workflow that you'll typically follow.
It generally starts with running your uncalibrated (or initially estimated) model for the specific period for which you have field data. Then comes the crucial step: a systematic comparison of your model's simulated results (pressures, flows, tank levels) against those collected field measurements to identify where, when, and by how much they differ.
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