We define environmental computing as a specialty that focuses on using advanced environmental modelling techniques to analyse different data sources in order to produce actionable knowledge related to environmental phenomena. There are several domain- or problem-specific areas – such as meteorology or seismic analysis – that use multi-model and multi-data approaches to analyse environmental phenomena and their impact. However, a more generic approach, one that would support linking models and data sources across disciplines to support both comprehensive environmental risk management and scientific discovery, is only starting to emerge. The topic is of acute interest due to societal challenges and technical developments that require developing approaches to generalise, productise and mature current state-of-the-art environmental modelling solutions for managing disasters and disaster risks. Gauging accurately the impact of climate change on agriculture, health and functions of the society as a whole is becoming more and more important. At the same time, adapting the current models and approaches so that they can optimally benefit from the new distributed and heterogeneous computing solutions is an area where sharing experiences and best practices will have a considerable positive impact. The workshop will bring together practitioners, policymakers, environmental modelling experts to present the latest developments and opportunities related to environmental computing.