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Today Dr Jørn Kristiansen has taken up his position as Deputy Director-General of ECMWF, with responsibility for the Ope...
01/09/2026

Today Dr Jørn Kristiansen has taken up his position as Deputy Director-General of ECMWF, with responsibility for the Operational Delivery and Digital Infrastructure portfolio, and as Director of Forecasts.

Dr Jørn Kristiansen joins ECMWF from Norway’s national meteorological service Meteorologisk institutt after spending 21 years there, with the last ten as Director of the Development Centre for Weather Forecasting.

Dr Kristiansen will lead the Forecast Department at ECMWF and further reinforce its operational forecasting and service delivery, ensuring that forecasting, computing, services and user engagement work as a coherent end‑to‑end system.

➡️ https://www.ecmwf.int/en/about/media-centre/news/2026/jorn-kristiansen-begins-role-deputy-director-general-and-director-forecasts

ECMWF’s supercomputers are located at our Data Centre in Bologna, Italy. The system has around one million processors an...
31/08/2026

ECMWF’s supercomputers are located at our Data Centre in Bologna, Italy. The system has around one million processors and 248 Graphics Processing Units (GPUs) - specialised processors that can perform many calculations in parallel.

The facility’s file systems can read and write at the same time, which is vital when training machine-learning models on very large datasets.

Around 1.5 exabytes (1,500,000,000,000,000,000 bytes) of data are currently stored, equivalent to roughly 175 billion music tracks.

Read more ➡️ https://www.ecmwf.int/en/about/media-centre/stories/high-performance-computing-ecmwf

Every year, floods affect more people worldwide than any other natural hazard. Accurate streamflow forecasts, predicting...
27/08/2026

Every year, floods affect more people worldwide than any other natural hazard. Accurate streamflow forecasts, predicting how much water will flow through a river in the coming days, are essential for issuing timely warnings, managing reservoirs, and protecting lives.

In a new study, we introduce 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗳𝗼𝗿 𝗙𝗹𝗼𝗼𝗱𝘀 (𝗔𝗜𝗙𝗟), a global streamflow forecasting model that learns directly from data and, crucially, learns to cope with the realities of operational weather forecasting.

This work contributed to the Destination Earth (DestinE) initiative of the European Commission. As part of DestinE, ECMWF together with many partners is building data-driven models across the Earth system.

AIFL is designed from the outset for integration into real-time forecasting workflows at ECMWF. Looking ahead, we plan to extend AIFL with probabilistic outputs for uncertainty quantification, explore multi-source precipitation products to improve event detection, and conduct systematic comparisons with the Global Flood Awareness System (GloFAS).

Read more ➡️ https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/aifl-global-streamflow-prediction

Earlier this year, the Copernicus Climate Change Service (C3S), which is implemented by ECMWF, and the World Meteorologi...
27/08/2026

Earlier this year, the Copernicus Climate Change Service (C3S), which is implemented by ECMWF, and the World Meteorological Organization jointly published the European State of the Climate 2025.

Over the last 30 years, lakes globally have warmed by around 0.22°C per decade. In Europe, the rate of warming is faster, at around 0.33°C per decade.

On 𝗪𝗼𝗿𝗹𝗱 𝗟𝗮𝗸𝗲 𝗗𝗮𝘆, let’s take a closer look at some of the findings on European lakes ⬇️

🌍🌐How can the huge volumes of data produced by kilometre-scale climate simulations be efficiently processed and evaluate...
26/08/2026

🌍🌐How can the huge volumes of data produced by kilometre-scale climate simulations be efficiently processed and evaluated?

A new paper presents AQUA ('Application for QUality Assessment'), the open-source framework developed to support the automated evaluation of simulations produced by the European Commission’s Destination Earth Climate Change Adaptation Digital Twin (Climate DT).

AQUA is fully integrated into the Climate DT workflow and supports the online monitoring and quality assessment of high-resolution climate simulations. It gives an efficient and flexible framework for processing large and complex climate simulations and evaluating them, using observational and reanalysis datasets. The paper describes AQUA’s architecture, core function and role within the operational workflow of the Climate DT.

Read more: https://destine.ecmwf.int/news/new-paper-presents-aqua-the-framework-for-quality-assessment-of-the-climate-digital-twin/

🌍🌐 Explore the latest Climate Digital Twin simulations and learn how to access the data. In a new recording, ECMWF scien...
24/08/2026

🌍🌐 Explore the latest Climate Digital Twin simulations and learn how to access the data.

In a new recording, ECMWF scientists present the latest developments of the Climate Change Adaptation Digital Twin (Climate DT) of the European Commission’s Destination Earth (DestinE) initiative.

The presentation takes a closer look at:

🔹 Overview of the Climate DT system
🔹 The production workflow behind the simulations
🔹 Available simulations
🔹 How the simulations are evaluated
🔹 How to access and explore Climate DT data

The Climate DT is implemented by a broad European partnership led by CSC – IT Center for Science, working in close collaboration with ECMWF. Its high-resolution simulations are produced using some of Europe’s most powerful supercomputers, provided through the EuroHPC Joint Undertaking.

The latest Climate DT simulations are available on the DestinE Platform, implemented by ESA - European Space Agency.

▶️ Watch the full recording: https://destine.ecmwf.int/news/watch-climate-digital-twin-system-overview-available-simulations-evaluation-and-data-access/

Did you know about ECMWF’s supercomputers? ECMWF has operated a world-class HPC facility since 1978, when its first CRAY...
24/08/2026

Did you know about ECMWF’s supercomputers?

ECMWF has operated a world-class HPC facility since 1978, when its first CRAY-1 supercomputer was installed. Today, its facility in Bologna, Italy, comprises four energy-efficient Atos BullSequana XH2000 clusters. It took over production of operational forecasts on 18 October 2022.

Read more
➡️ https://www.ecmwf.int/en/about/media-centre/stories/high-performance-computing-ecmwf

📢 Two weeks left to submit your abstract! Are you working on software strategies, technologies or approaches that could ...
20/08/2026

📢 Two weeks left to submit your abstract!

Are you working on software strategies, technologies or approaches that could shape the future of physical modelling?

Our 𝘄𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝘀𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝘀𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗲𝘀 𝗳𝗼𝗿 𝘀𝘂𝘀𝘁𝗮𝗶𝗻𝗮𝗯𝗹𝗲 𝗽𝗵𝘆𝘀𝗶𝗰𝗮𝗹 𝗺𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 will bring together researchers, developers and experts to explore how we can build sustainable, adaptable and innovative modelling systems for the next decade.

We welcome submissions for 𝗼𝗿𝗮𝗹 𝗮𝗻𝗱 𝗽𝗼𝘀𝘁𝗲𝗿 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻𝘀 covering topics including HPC, programming languages, machine learning, open-source software, software development, automated testing and interactive visualisation.

📍 Reading, UK | 23–27 November 2026
🗓️ 𝗔𝗯𝘀𝘁𝗿𝗮𝗰𝘁 𝘀𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲: 𝟰 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟮𝟬𝟮𝟲

Details and abstract submission form ➡️ https://events.ecmwf.int/event/529/

HourGlass is a new data-driven probabilistic temporal downscaling method developed through a collaboration between Meteo...
20/08/2026

HourGlass is a new data-driven probabilistic temporal downscaling method developed through a collaboration between Meteorologisk institutt and ECMWF.

It reconstructs the likely evolution of the atmosphere between forecast times, generating coherent hourly forecasts that remain consistent with the original prediction.

Following successful evaluation in both global and regional forecasting systems, HourGlass will become part of ECMWF's operational forecasting system later this year.

As part of the Artificial Intelligence Forecasting System (AIFS) v3, it will provide hourly forecasts of key surface variables for both AIFS Single and AIFS Ensemble (AIFS ENS), bringing high-temporal-resolution AI forecasts to operational users.

Read more about HourGlass
➡️ https://www.ecmwf.int/en/about/media-centre/aifs-blog/2026/hourglass-filling-gaps-between-forecasts

19/08/2026

🌍🌐 Meet Sara Hahner, Machine Learning Scientist at ECMWF.

Sara is working on developing an AI ocean wave component of the Earth system within the European Commission’s DG Connect Destination Earth initiative. The model learns how waves form, grow and travel and delivers crucial information to mitigate hazardous marine conditions.

Her work contributes to ECMWF’s efforts within DestinE to build AI based Earth system components, including waves, hydrology, sea ice, the ocean and land surface. These early machine learning (ML)-based prototypes are already delivering impressive results by leveraging European datasets and EuroHPC Joint Undertaking supercomputers to move towards a fully ML-based Earth system model.

These developments also build on ECMWF’s wider AI activities, including the Artificial Intelligence Forecasting System (AIFS) and the open-source Anemoi framework. Developed in close collaboration with ECMWF Member States, these efforts are advancing the use of AI for weather and climate applications.

Watch the full video as part of our DestinE Meet the Experts Series ➡️ https://destine.ecmwf.int/meet-the-experts-destine/

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