The Data Fabric is a cloud-based web platform which will integrate data sources and models for disaster risk management and visualise the respective modeling results to the users. It will allow users to explore data sources and models and combine them in a modular way. The Data Fabric build on an open software stack.

The SaferPlaces Global Platform is a revolutionary EO/Cloud-based and Digital Twin Platform able to support multiple users in assessing flood risk for cities worldwide and making flood smart data-driven decisions. Open Data (Geospatial, Satellite, Climate Data) and AI-based models are combined in a cloud-computing environment, to provide incredible insights in terms of flood risk intelligence.

The DTU Damage Cost model has a high geographical resolution of land use and estimates flood damage costs for several sectors, including residential and industrial buildings, transport, health, recreational values, and tourism. The damage data is based on statistics of past insurance pay-outs for flooding events and on Danish monetary valuation studies of assets and sectors.

RIM2D is a 2D hydraulic inundation model specifically designed for fluvial and pluvial flood simulations. RIM2D solves a simplified version of the shallow water equation, the so-called “local inertial approximation”. Further on, RIM2D offers simplified approaches for simulating sewer system, roof drainage and infiltration, making it well-suited for fast urban inundation simulations.

Using state-of-the-art probabilistic modelling, CLIMADA allows to estimate the expected socio-economic and ecological impact as a measure of risk today, the incremental increase from socio-economic growth and ecological evolution and the further incremental increase due to climate change. The model is well suited to provide an open and independent view on physical risk.

The Danube Models an end-user driven multi-hazard and risk model suite for the Danube region that has been developed to provide climate services related to perils such as heavy precipitation, heat waves, floods, and droughts under recent and scenario conditions. As a result, it provides spatially consistent information on extreme events and natural resources throughout the entire Danube catchment.