The use of simulation models is essential when exploring transitions to low-carbon futures and climate change mitigation and adaptation policies. There are many models developed to understand socio-environmental processes and interactions, and analyze alternative scenarios, but hardly one single model can serve all the needs. There is much expectation in climate-energy research that constructing new purposeful models out of existing models used as building blocks can meet particular needs of research and policy analysis. Integration of existing models, however, implies sophisticated coordination of inputs and outputs across different scales, definitions, data and software. This paper presents an online integration platform which links various independent models to enhance their scope and functionality. We illustrate the functionality of this web platform using several simulation models developed as standalone tools for analyzing energy, climate and economy dynamics. The models differ in levels of complexity, assumptions, modeling paradigms and programming languages, and operate at different temporal and spatial scales, from individual to global. To illustrate the integration process and the internal details of our integration framework we link an Integrated Assessment Model (GCAM), a Computable General Equilibrium model (EXIOMOD), and an Agent Based Model (BENCH). This toolkit is generic for similar integrated modeling studies. It still requires extensive pre-integration assessment to identify the ‘appropriate’ models and links between them. After that, using the web service approach we can streamline module coupling, enabling interoperability between different systems and providing open access to information for a wider community of users.

Feeding and nourishing a growing global population in Bangladesh is a major challenge in a changing climate. A multi-level participatory scenario approach with corresponding modeling and decision support tools is developed and applied to support decision-makers in developing scenario-guided enabling policy for food security in the future under climate change. The results presented in this paper show how, under different scenarios, the agri-food system may transform in the next decade as a result of the interaction of intertwined institutional, technological, and market drivers in Bangladesh. For scenario building, the food and agriculture community was brought together with the climate and energy community. We also experimented with different ways to bring voices that are often less included in policymaking, such as poor rural communities and youth. The scenario quantification is performed by MAGNET, a GTAP-based multi-sector and multi-region computable general equilibrium model. The simulation results depict a comprehensive picture of corresponding and varied pressures on agricultural resources and opportunities for economic development and trade in Bangladesh. Finally, we did an ex-ante assessment of the trade-offs and synergies between zero-hunger- and zero-emission-related targets within the Bangladesh Sustainable Development Goals (SDGs) under the developed scenarios.

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