Currently biogeochemical models are used to understand and quantify key biogeochemical processes in the ocean. The objective of the present study was to validate predictive ability of a regional configuration of the PISCES biogeochemical model on main biogeochemical variables in Humboldt Current Large Marine Ecosystem (HCLME). T he statistical indicators used to evaluate the model were the bias, root-mean-square error, correlation coefficient and, graphically, the Taylor's diagram. The results show ed that the model reproduces the dynamics of the main biogeochemical variables (chlorophyll, dissolved oxygen and nutrients); in particular, the impact of ElNiño 1997-1998 in the chlorophyll (decrease) and oxygen minimum zone depth (increase). How ever, it is necessary to carry out sensitivity studies of the PISC E S model with different key parameters values to obtain a more accurate representation of the properties of the Ocean.