For the continuously operating full-scale system, long-term monitoring was achieved through online sensors and analyzers for pH, dissolved oxygen (DO), TSS, PO4 3-, NH4 + , NO3 -, turbidity, temperature, and PAR (Table and Figure in the SI), which interfaced with a SCADA system. Hydraulic parameters, including flowrates and tank volumes, were also collected through on-line monitoring. Most sensors were on-line by late November 2020. Following the International Water Association Good Modeling Practice Unified Protocol, 27 the long-term continuous online monitoring data were reconciled to ensure that systematic errors (e.g., shifts or drifts) in the data set were identified and resolved using the kernel smoothing method of a Python package for functional data analysis (scikit-fda). In particular, pH, TSS, PO4 3-, NH4 + , and NO3 -were additionally corrected to match the magnitude of the daily onsite laboratory measurement data (SI_SCADA and SI_AIMS spreadsheets, Supporting Information, SI).