Motivation
Improving (reducing uncertainties in) coupled climate models can be achieved (in part) by reducing uncertainties associated with processes
Model validation/intercomparison projects (e.g. CMIP) highlight model uncertainties, but are not sufficiently focused to indicate how processes contribute to these uncertainties
The large gap between process oriented research efforts and climate model development as well as the lack of resources available for diagnosing and testing physical parameterizations in the context of coupled model systems impedes improvement in coupled models