Use Cases Catalogue

Developing an adaptation modelling framework supporting the EU Adaptation Strategy goals and enabling easier access to advanced hazard and impact models for decision-makers.

Developing a modelling framework that will facilitate the formulation of adaptation measures addressing heat waves.

Providing high-resolution urban heat maps for cities across Europe to underpin urban climate adaptation measures.

Providing a FAIR-enabled digital twin for crop wild relatives, the project empowers researchers to identify resilient plant traits, addressing climate challenges and advancing sustainable agriculture.

Exploring ECMWF’s digital twins' applications for air quality analysis and forecasts.

Addressing the challenge of cyanobacterial blooms, SMHI integrates AI with Sentinel-3 satellite data to develop early warning systems for the Baltic Sea.

Providing global estimates of river runoff and freshwater availability to support climate adaptation measures.

Designing an innovative urban application for the DestinE Platform to assess the potential impacts of urban development decisions.

Architect a comprehensive and precise analysis based on the DestinE Data Lake to inform conservation efforts of the Danube Delta, one of Europe's most biodiverse regions

Supporting policy and decision-makers in decreasing pollution and optimising routes in polar regions.

Developing the Hybrid Renewable Energy Forecasting System (HYREF) demonstrator to support simulation and projection services that are part of the DRE digital ecosystem.

A machine learning (ML) Demonstrator will be developed to assist optimising power flow and ensuring resource adequacy across European electricity grids.

Enable three pilot services of global tide and surge forecasting, compound flood forecasting and early warning (Philippines), and global ship-route optimisation, integrates high‑resolution Weather-Induced Extremes Digital Twin forecast with DestinE...

Providing higher-resolution meteorological forecasts that can help address the challenges caused by compound flooding.

Developing a modeling framework to support the monitoring of the pollutants in large urban areas and produce short-term forecasts for mitigating the health risks.

Providing a scalable machine-learning solution, the project enhances electricity demand prediction to support resilient and sustainable energy networks in a changing climate.

The High-Resolution Early Precipitation-to-Flood Signals Pilot Service is part of the Destination Earth initiative. Its primary objective is to provide early and reliable flood forecasts and indicators, including streamflow data...

Understanding the different aspects of how forest management can affect our natural environment in the changing climate.

Helping to obtain accurate insights into fish populations for data-driven conservation policies.

The HydroLand application is developed to provide high-resolution estimates for terrestrial freshwater availability, from global-to-local scale.

Providing tools and guidance to support the European Transmission and Distribution System Operators in improving the energy system modelling.

Supporting a more accurate assessment of the impact of ongoing droughts and identification of vulnerable areas.

A machine learning (ML) Demonstrator will be developed to assist optimising power flow and ensuring resource adequacy across European electricity grids. The ML application aims for enhancing the speed, interactivity...

This Machine Learning Demonstrator implements an AI-based system (SynCast) that uses forecasts from multiple numerical weather prediction models into a single, optimised product. By leveraging the DestinE Digital Twin infrastructure...

Providing a heat stress index to allow urban planners to have a better understanding of the best adaptation practices against extreme temperatures in urban environments.

Providing information on key global indicators relevant to the wind farm industry at various temporal and spatial scales.

Enabling enhanced flood risk management for more accurate and targeted mitigation measures.

Extracting high spatial and temporal resolution data from the Weather-Induced Extremes Digital Twin (Extremes DT) to improve the Dynamic Line Rating (DLR) energy transmission applications.

This Pilot Services uses the Weather-Induced Extremes Digital Twin output to force a state-of-the art WaveWatch III wave model and novel Marine Icing model for the Norwegian COast Guard (MINCOG)...

The Urban Heat Pilot Service leverages data from DestinE’s Climate Change Adaptation digital twin (Climate DT) to deliver neighbourhood-scale urban heat insights — down to 100–200 m resolution — for...

Developing a catalogue of simulated extreme events with information from the high-resolution Climate DT data stream.

Providing harvestability maps and information on climate change outlook for Europe to ensure a sustainable forest management.

Supporting decision makers in assessing climate related challenges and their impact on urban areas.

Providing a refined view of wildfire risks in a changing climate.