How morphology shapes the parameter sensitivity of lake ecosystem models

A global sensitivity analysis of a lake ecosystem model (GOTM-FABM-PCLake) was undertaken to test the impacts morphology on parameter in three different lakes. The facilitated by Parallel Sensitivity and Auto-Calibration tool (parsac) included screening step with density-based Borgonovo's method followed in-depth both variance-based Sobol’ methods. proved efficient ranking most influential parameters its results were corroborated method. For total phosphorus nitrogen, related benthic-pelagic coupling phytoplankton, particularly important for shallower lakes, whereas nitrogen mainly deepest lake. chlorophyll a, phytoplankton zooplankton influential. We conclude that shapes models.