Already today, many fields within in the Earth Sciences use multi-model, multi-data, and multi-scale approaches to analyse and study environmental phenomena and their impact. Yet, a more generalized approach to produce actionable knowledge from different environmental data sources is still needed. The topic is of acute interest due to its societal challenges and state-of-the-art technical developments, requiring generalising, productising and maturing today’s environmental modelling solutions. Application areas include managing disasters and disaster risks, supporting prompt political decision making, and many other similar domains.

This session will bring together scientists from different domains with an interest in outreach activities to present the latest developments in Environmental Computing. It is meant as a forum to discuss the possibilities and methods for research to make an impact on society, including topics such as:

- Multi-domain, multi-scale, multi-model and multi-physics systems
- Civil protection and related engineering challenges
- Computational optimisation techniques
- Scalability of environmental HPC and Big Data applications
- Risk analysis, assessment, management, and mitigation
- Interdisciplinary and stakeholder collaboration
- Dynamic multi-directional model coupling approaches
- Multifaceted data and metadata frameworks
- Urgent computing and probabilistic models
- Data visualisation and interactive analysis