Inverse modeling of greenhouse gas emissions, combining atmospheric observations and transport simulations, yields vital real-world emission estimates for policy relevance. However, the process currently lacks traceability, repeatability, and user-friendliness. This project proposes using the 'Automated Interactive Infrastructure and Database for Computational Science' (AiiDA) system to create prototype workflows and automation plugins for atmospheric modeling. AiiDA, well-established in computational material science at ETH, will be adapted for the inverse modeling community. Collaborating with Swiss and European partners, we aim to design generic workflows for broad adoption. This implementation enhances the traceability, repeatability, findability, and sharing of emission estimates, crucial for climate policy assessment. The project's impact extends to international and European collaborations beyond our group.