A principal use of models is to sharpen hypotheses by checking the logical consistency of postulated mechanisms. Models can aid in analyzing data, both in real time and in retrospective analyses, using data assimilation and other techniques. To be believable, these models must be based on underlying mechanisms that are thought to determine the key interactions.
Models are also useful for evaluating variability on a variety of space and time scales.
This goal is likely to be met to a greater degree if data collection is designed with algorithm development in mind, so that data is collected in a manner that insures its usefulness in modeling. Conversely, close collaboration will insure that any models that are developed will be based on the best current understanding of the ocean carbon system as described by non-modelers. To insure this collaborative atmosphere, misperceptions about the place of modeling in the scientific endeavor must be overcome. The distinction between modelers and non-modelers is therefore one of technique, not of goal. Participation of modelers in data-gathering exercises, such as cruises, should be encouraged.