Using Probability Density Functions to Evaluate Models (PDFEM, v1.0) to compare a biogeochemical model with satellite-derived chlorophyll
Bror F. Jönsson,Christopher L. Follett,Jacob Bien,Stephanie Dutkiewicz,Sangwon Hyun,Gemma Kulk,Gael L. Forget,Christian Müller,Marie-Fanny Racault,Christopher N. Hill,Thomas Jackson,and Shubha Sathyendranath
While biogeochemical models and satellite-derived ocean color data provide unprecedented information, it is problematic to compare them. Here, we present a new approach based on comparing probability density distributions of model and satellite properties to assess model skills. We also introduce Earth mover's distances as a novel and powerful metric to quantify the misfit between models and observations. We find that how 3D chlorophyll fields are aggregated can be a significant source of error.
While biogeochemical models and satellite-derived ocean color data provide unprecedented...