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The Digital Twins
Climate Change Adaptation Digital Twin

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Destination Earth
Our planet's digital twin

DestinE and the role of ECMWF

The European Centre for Medium-Range Weather Forecasts (ECMWF) is one of three Entrusted Entities delivering Destination Earth (DestinE), the ambitious initiative of the European Union to create a digital twin or replica of the Earth system, together with the European Space Agency (ESA) and the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT), under the leadership of DG CNECT.

ECMWF, building on nearly five decades of progress in numerical weather prediction, Earth system observations and high-performance computing, is responsible for developing the first two high-priority digital twins, on Weather-Induced Extremes and Climate Change Adaptation, as well as the Digital Twin Engine, enhancing the EU’s digital capabilities and supporting adaptation strategies to meet the challenges of climate change and extreme weather events.

About

Digital Twins

Climate Change Adaptation Digital Twin

Weather-Induced Extremes Digital Twin

Digital Twin Engine

AI in DestinE

Latest News & Updates

All news & updates

News

Meet the experts: Destination Earth (DestinE)

29 July 2026

News

From research to operations: ECMWF represented at the km-Scale Global Modelling Summit 2026

24 July 2026

News

Harnessing EuroHPC to build digital twins of the Earth

2 July 2026

News

Destination Earth moves into its third phase

30 June 2026

News

5th Destination Earth User eXchange

25 June 2026

News

Evaluating the May 2026 heatwave with storyline simulations of DestinE’s Climate Digital Twin

24 June 2026

Featured videos

Video

5th Destination Earth User eXchange

Simulations

Climate DT Simulations: ICON, IFS-FESOM and IFS-NEMO

Video

Meet the Experts Series

Video

DestinE AI Tooling Workshop

DestinE Uses

DestinE Uses by ECMWF

See all

Pilot Service – Tide and Surge Forecast, Flood forecasting in Philippines and Global Ship Route Optimization

Machine Learning Demonstrator – Freshwater temperature

Pilot Service – High-Resolution Precipitation-to-Flood Signals

Machine Learning Demonstrator –Enhancing Data Usability with AI-based Multi-Model Data Fusion for DestinE

Pilot Service Urban Heat – Bringing climate insights to the neighbourhood scale

Machine Learning Demonstrator for rainfall-induced floods

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Stay informed with the latest updates from ECMWF Destination Earth (DestinE), including our latest news, events and multimedia content

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The Digital Twins

Digital Twin Engine

AI in DestinE

DestinE Uses

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