Using the Kolmogorov-Smirnov (KS) test, we identified eight parameters to which the model predictions were most sensitive: exp, f CH max , arre, KP, q , CH , q , LI , V -NH , and V -P (Figure , Table ). The sensitivity of each indicator to these parameters was aligned with the PM 2 formulation and the general principles of microalgae metabolism. For example, predictions of ammonium, VSS, carbohydrate, and lipid concentrations were sensitive to arre because all growth expressions (P7, P10-11, P15, P18-19, P23, P26-27; Table ) were temperature-dependent (arre is the exponential constant of the Arrhenius temperature model). Additionally, other indicators demonstrated logical sensitivities: ammonium was sensitive to the maximum specific ammonium uptake rate (V -NH ), orthophosphate was sensitive to the maximum specific phosphorus uptake rate ( V -P ) and phosphorus half-saturation coefficient (KP), carbohydrate concentration was sensitive to the maximum specific carbohydrate storage rate (q , CH ), and exp, a term to allow for a more rapid transition from growth to storage, had a significant impact on both storage biopolymers. Finally, lipid concentration was also sensitive to maximum specific lipid storage rate (q , LI ) and f CH max , with the latter influencing the transition from carbohydrate storage to lipid storage (lipid accumulation is promoted as fCH reaches f CH max ). of the SI.