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)
Background ECMWF is contributing to the Africa–EU Space Partnership Programme by taking a leading role in Strengthening Early Warning in Africa (SEWA) alongside EUMETSAT and the African Union Commission (AUC), and funded by the European Commission's DG for International Partnerships (DG INTPA). SEWA started in January 2025, and will develop space-based services and applications to strengthen early warning systems for hazardous weather and climate-related events in sub-Saharan Africa. With...| ECMWF Events (Indico)
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)
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)
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)
