Implementing large-scale environmental modelling exercises (multiple issues, multiple models, disparate data sources) requires the development and execution of complex scientific and reporting workflows. These may be embedded in an integrated modelling environment - or, more usually, bring together suites of different tools, datasets and processes. The development of scientific workflow tools appears to provide a practical solution for binding disparate data and toolsets within a controllable framework. This session invites papers describing the development and use of scientific workflow tools for environmental modelling, on all and any aspects - technical, governance, adoption, challenges, lessons learnt.