The ACCREU project has released the DIVACoast model results database, a comprehensive new dataset providing global estimates of sea-level rise impacts and adaptation responses under multiple adaptation paradigms. Developed by the GCF team, the dataset offers detailed projections of coastal flood risk, expected damages, population exposure and the effectiveness of adaptation measures such as protection, accommodation and retreat. The database is designed to support research, policy analysis and infrastructure planning by enabling consistent, scenario-based assessments of coastal risk under climate change. Its structured format allows users to explore impacts across time, regions and socio-economic pathways, making it a valuable resource for both scientific and decision-making communities working on coastal resilience.
DIVACoast builds on the long-standing Dynamic Interactive Vulnerability Assessment (DIVA) modelling framework, which has been widely used for global coastal risk assessments over the past two decades. This new generation model significantly advances previous versions through a major increase in spatial resolution, enabled by a newly developed global segmentation of coastal floodplains and shorelines. The number of coastal segments has expanded from around 12,000 in earlier DIVA applications to more than 130,000, allowing for much more detailed representation of local conditions and impacts. This improvement enhances the accuracy and policy relevance of global coastal risk assessments and underpins the new dataset released within ACCREU.
DIVACoast impacts and adaptation dataset: Bacca, S., Haas, J., Lincke, D., & Hinkel, J. (2026). DIVACoast model results: sea-level rise impacts and adaptation response under different adaptation paradigms [Data set]. Zenodo. https://doi.org/10.5281/zenodo.20545890
ACCREU deliverables based on DIVACoast output:
D2.1: Impacts on infrastructure and built environment
D2.4: Impacts on ecosystems and biodiversity
D3.2: Adaptation case study analysis
D4.1: Advancing impacts and adaptation in IAM and CGE models
DIVACoast.jl open source library: https://github.com/GlobalClimateForum/DIVACoast.jl.git
Global coastal segmentation: Lincke, D. (2026). Global segmentation of the coastal plain and the coastline [Data set]. Zenodo. https://doi.org/10.5281/zenodo.19664628