The extent to which a model contains separate components such as cells, or assumptions that vary by cell or time intervals. Models with a higher degree of granularity (more cells or assumption variations) may provide more model precision or flexibility, but may also require greater effort and expense to design, maintain, assemble and run. (Modeling)
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