ECMWF is pleased to announce a new three-part series of training webinars covering the use of Machine Learning for operaitonal weather forecasting. Anemoi is a collaborative and open-source framework for developing machine learning weather forecasting models. Named after the Greek gods of the winds, the goal of Anemoi is to provide the key building blocks to train state‑of-the‑art data-driven weather forecasting models and run them in an operational context. As a framework it seeks to h...| Indico Feed [Home]
The aim of the course is to enhance participants’ ability to examine, assess, and utilise ECMWF output products and to provide advanced training on the operational aspects of the ECMWF forecasting system. The course is designed for users who are (or will be) using ECMWF products either directly as forecasting staff or in research and development work. The course aims to help users get maximum benefit from ECMWF's forecast products. The programme combines lectures covering key components of ...| Indico Feed [Home]
This four-day course focuses on machine learning (ML) for numerical weather prediction (NWP) and earth system modelling, in the context of the Destination Earth programme. Destination Earth (DestinE) is an EU-funded initiative to develop digital twins of the Earth to better model and understand climate change and extreme weather. It is jointly implemented by ECMWF, EUMETSAT and the European Space Agency. AI and ML are increasingly playing a central role in DestinE, and are being used to build...| Indico Feed [Home]
This five-day course is a combination of lectures, hands-on practicals and group problem classes. During the course each parametrized process is introduced and discusses theory, modelling and verification over several sessions. Processes considered general aspects of parametrization and their relation to systematic forecast errors radiation in numerical weather prediction the parametrization of moist processes (convection, sub-grid clouds and microphysical processes) the planetary boundary ...| Indico Feed [Home]
This five-day course focuses on describing Data Assimilation (DA) methods and general aspects of assimilating observations. Aspects of the practical implementation of the assimilation techniques for real-size numerical weather prediction (NWP) systems will also be described. A new focus of the course will be to describe how Machine Learning techniques are being incorporated in the traditional DA workflow, and discuss what advantages they can bring in terms of both performance and efficiency. ...| Indico Feed [Home]
This 5-day course is sponsored by EUMETSAT and is open to anybody with a suitable background. This course provides a comprehensive overview of the usage of meteorological satellite observations in operational numerical weather prediction (NWP). It includes a series of lectures and practical sessions covering a range of topics – from fundamental theoretical concepts through to detailed practical implementations in modern state-of-the-art data assimilation systems. More information on the con...| Indico Feed [Home]
This course describes contemporary methods, recent advancements, and current challenges in numerical techniques used across a broad range of weather prediction models for solving the governing equations of atmospheric dynamics on High-Performance Computing (HPC) systems. The methods covered are relevant to short and medium-range forecasting, seasonal prediction, climate modelling, and both global and limited area simulations. Topics Governing equations and hydrostatic/non-hydrostatic dyna...| Indico Feed [Home]
The aim of this online course is to introduce participants to ECMWF's Atos supercomputing system and enable them to efficiently exploit its full potential. The course will cover a full description of the system, from fundamental architecture and software modules to advanced optimisation techniques. The course target audience are users from ECMWF Member States who already have a good level of HPC experience, actively using or planning to use the ECMWF systems in the near future. Users who are...| ECMWF Events (Indico)
Workshop motivation and goals The use of Machine Learning (ML) technologies is becoming prevalent in an ever-growing number of applications in Earth System Observation and Prediction (ESOP). Additionally, the scale, complexity and sophistication of the ML technologies applied in ESOP has also increased considerably over the last few years, reflecting the growing uptake of ML ideas in the ESOP communities and benefiting from increased interest of ML domain scientists and of large commercial...| ECMWF Events (Indico)
Background The first European Risk Assessment (EUCRA), published by the European Environment Agency (EEA) in March 2024, conducted a structured risk assessment of 36 major climate risks for Europe from various sectors and systems(energy, food security, ecosystems, infrastructure, water resources, financial systems, human health, etc) complemented by risk storylines of selected compound climate risks across systems. The approach and the results of the project were well received by the Europe...| Indico Feed [Home]
The workshop is targeted at communications professionals at European NMHS and is jointly organised by ECMWF, EUMETSAT and WMO. It takes place at the European Meteorological Society's Annual Meeting 2025 in Ljubljana, Slovenia. The one day workshop is a chance to hear about and discuss topics such as AI tools for communication, weather warnings, data visualisation, the latest weather satellites and many other topics. A key part of the workshop will be the opportunity for networking and discuss...| Indico Feed [Home]
Part of ECMWF's 50th anniversary celebrations in Bologna taking place at: DAMA - Tecnopolo di Bologna, Via Stalingrado 84/3, 40128 Bologna Exploring the past, present and future of HPC in meteorology Overview and theme As we celebrate 50 years of ECMWF, we invite you to the 21st edition of our biennial workshop on the use of high-performance computing (HPC) in meteorology, taking place from 15 to 19 September in Bologna, Italy. This year's theme, Exploring the Past, Present and Future of HPC...| Indico Feed [Home]
Part of ECMWF's 50th anniversary celebrations in Bologna As part of the 50th anniversary celebrations of ECMWF, the annual Using ECMWF's Forecasts (UEF2025) event will take place in the historic city of Bologna, at the Regione Emilia Romagna and the Tecnopolo di Bologna – ECMWF’s purpose-built data centre hosting our supercomputing facility. “Using ECMWF’s Forecasts” is a forum for ECMWF forecast users to exchange ideas, share experiences, and discuss the use and performance of E...| Indico Feed [Home]
Part of ECMWF's 50th anniversary celebrations in Bologna The 3rd ECMWF Destination Earth (DestinE) Annual Meeting will be held in Bologna, Italy, between 16 and 17 September at DAMA - Tecnopolo di Bologna. The event aims to bring together ECMWF contractors working on the DestinE initiative to share ideas, future plans and network with one another. Attendance This event is by invitation only. If you have been invited and would like to attend, please submit the registration form before 31 J...| Indico Feed [Home]
Part of ECMWF's 50th anniversary celebrations in Bologna Join us for the European Weather Cloud (EWC) User Workshop 2025, taking place in-person for the first time at ECMWF in Bologna. This full-day event, co-organised by ECMWF and EUMETSAT, will provide an opportunity to explore the latest developments, share experiences, and shape the future of the EWC. This year’s edition is special—it coincides with ECMWF's 50th anniversary celebrations and will run in parallel with other key events...| Indico Feed [Home]
The aim of the course is to enhance participants’ ability to examine, assess, and utilise ECMWF output products and to provide advanced training on the operational aspects of the ECMWF forecasting system. The course is designed for users who are (or will be) using ECMWF products either directly as forecasting staff or in research and development work. The course aims to help users get maximum benefit from ECMWF's forecast products. The programme combines lectures covering key components of ...| Indico Feed [Home]
This online course will give an introduction to ECMWF's computing services available to users from Member- and Co-operating States. Access to the Meteorological Archival and Retrieval System (MARS) and the European Weather Cloud (EWC) will also be covered, as well as software packages for scheduling work on the Atos supercomputer and working with meteorological data. The course target audience are users from ECMWF Member- and Co-operating States who are new to ECMWF systems or those planning ...| Indico Feed [Home]
This four-day course focuses on machine learning for numerical weather prediction (NWP). This will include: An overview on the use of machine learning in Earth Sciences Introduction into the most important machine learning methods that are relevant for Earth Sciences. Introduction into software and hardware frameworks at ECMWF to facilitate the use of machine learning. Examples for the use of specific machine learning tools across the weather and climate prediction workflow and how they can b...| Indico Feed [Home]
Please register for the in-person Final CORSO General Assembly to be held on 5 and 6 November 2025 in Bonn, Germany. Members of the project team and invited guests are eligible to register for the event. Registration will be moderated. The Final CORSO General Assembly will be a chance to hear all about the achievements in the project feeding into the ramping-up of the operational Copernicus CO2MVS capacity. The 2-day event will open with talks from invited guests, followed by detailed update...| Indico Feed [Home]
Overview The Destination Earth (DestinE) Digital Twin Co-design Hackathon aims to Develop and implement specific applications, components of Pilot Services or Demonstrators interfacing to the DestinE Digital Twins (Climate DT, Extremes DT). Co-design solutions benefitting from the capabilities provided by the Digital Twin Engine, Digital Twins, and the wider DestinE System. Support ECMWF contractors and partners implementing DestinE Pilot Services, Applications, or Machine Learning Demonstr...| Indico Feed [Home]
This five-day course has a strong practical component and will draw on numerical weather prediction expertise from across ECMWF and provide an overview of the ECMWF model - while giving hands-on sessions to give you confidence to carry out your own experimentation with the OpenIFS model (or the IFS). It is an opportunity to learn about: the building blocks of the NWP model (physics and dynamics); how to work with the output and input GRIB data and visualise it; technical aspects of compiling ...| Indico Feed [Home]
The ECMWF AI Weather Quest is an international competition leveraging artificial intelligence (AI) and machine learning (ML) to advance weather forecasting. Join us for the SON Awards Webinar on 18 December 2025 at 13:00 UTC as we celebrate the top performers of the September–October–November forecasting period. This one-hour live session will spotlight the best-performing teams, featuring presentations from top scorers and special recognition for standout contributions. We'll also shar...| Indico Feed [Home]
Workshop motivation and goals The use of Machine Learning (ML) technologies is becoming prevalent in an ever-growing number of applications in Earth System Observation and Prediction (ESOP). Additionally, the scale, complexity and sophistication of the ML technologies applied in ESOP has also increased considerably over the last few years, reflecting the growing uptake of ML ideas in the ESOP communities and benefiting from increased interest of ML domain scientists and of large commercial...| ECMWF Events (Indico)
Our extensive learning programme covers numerical weather prediction and the use of the Centre’s computer facilities and forecast products. It is primarily intended for scientists and forecast users based in our Member and Co-operating States.| ECMWF Events (Indico)
ECMWF is pleased to announce Discover Anemoi - a six-part series of training webinars covering the use of the Anemoi framework. Anemoi is a collaborative and open-source framework for developing machine learning weather forecasting models. Named after the Greek gods of the winds, the goal of Anemoi is to provide the key building blocks to train state‑of-the‑art data-driven weather forecasting models and run them in an operational context. As a framework it seeks to handle many of the...| ECMWF Events (Indico)