Concerns over the environmental impact of aviation, as well as recently proposed and sometimes enacted policies that regulate aviation emissions, have fostered the interest of national and international regulatory and policy making bodies that rely on the understanding of aviation environmental impacts. Furthermore, research and development organizations are interested in assessing how far their technology portfolio can help reduce the environmental impact of aviation. The range of current methodologies ranges from low fidelity rapid assessments to high fidelity analyses that require significant data and computational effort to conduct. This paper presents a method that allows improved accuracy of environmentalassessments in real-time for policy and decision makers, by explicity presenting the system model structure while allowing interactive parametric variation of key assumptions.