Constraining model setup in a narrow shelf simulation using different data sources

It is widely known that the set of parameters that constitute the configuration of a model run, play a decisive role in its output. Additionally, the impact of the choice of a particular option is a common issue of uncertain answer. At the initial stages of a study, some parameters are chosen based on past experiences, tradition or default values, but sometimes little is known in advance about the impact of a specific selection. Data collected by observational systems provides a way to address this question.