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Model interoperability, also known as model coupling, is involved in a significant part of scientific research and offers an interesting and worthwhile area of exploration and development for related supporting software frameworks and environments. This paper presents the challenges of scientific model coupling, with emphasis on climate change research, and briefly describes the current main methods for dealing with model interoperability. The paper also proposes a design solution for a new intelligent software tool aimed at facilitating model coupling and improving research productivity in climate change research. The main components of the proposed tool are presented and the tool's major modes of operation are described. An outline of planned future work on the proposed software environment for enhanced model interoperability is also included in the paper.