The Anemoi training-ready version of ERA5 is now openly available. This dataset provides a ready-to-use machine-learning-optimised subset of ERA5 data enabling efficient training of models.
We present data-driven ocean wave modelling for the AIFS, introducing two methods for integrating waves alongside the atmosphere. This improves the wave forecast accuracy and advances machine-learning-based Earth system modelling.
We provide a conditional verification of two-metre temperature forecasts from the AIFS Single (ML-based deterministic forecasts) and IFS Control forecasts during the winter of 2024/25, focusing on synoptic weather patterns to better…
In January, we launched our 2025 machine learning training webinars called 'Discover Anemoi'. The webinar series introduces the features and usage of the Anemoi AI weather forecasting framework.
With colleagues from MET Norway, we describe our collaboration on regional modelling and outline Anemoi, our work towards an ML framework for data-driven weather forecasts.
We have introduced a new version of the AIFS that runs at 0.25° horizontal resolution (approx. 28 km) and has an updated architecture. The new model version improves forecast scores, especially for surface variables, where resolution is…
With the introduction of a new machine learning (ML) model in our web charts, we discuss the interpretation of scores, the performance/realism dilemma for ML model developers, and how ensemble systems could help in this case.
This blog introduces an important companion to the Integrated Forecasting System (IFS), the AIFS, our Artificial Intelligence/Integrated Forecasting System. It is one of three components of our new machine learning project.
OpenIFS, a supported and easily accessible version of ECMWF’s Integrated Forecasting System (IFS) provided for research and education, is to be upgraded to the latest IFS model cycle by the end of this year.
The European Weather Cloud, a distributed cloud computing infrastructure of ECMWF and EUMETSAT providing access to data and other services from the two organisations, becomes operational on 26 September 2023.
The EU-funded Copernicus Atmosphere Monitoring Service (CAMS), implemented by ECMWF, is working to support a new Global Greenhouse Gas Watch introduced by the World Meteorological Organization.
About 100 scientists and students came together from 4 to 8 September 2023 for the Annual Seminar at ECMWF in Reading, UK, to learn about the history and state of the art of Earth system reanalysis activities.
ECMWF contributes to the EU's Copernicus Earth observation programme by running the Copernicus Atmosphere Monitoring Service and the Copernicus Climate Change Service, and by contributing to the Copernicus Emergency Management Service.
Developments in machine learning are continuing at breathtaking pace, both inside and outside of weather forecasting. To help assess machine learning weather forecasts from different sources, we now show a range of them in ECMWF’s charts…
This year’s Annual Seminar is dedicated to a key product from the EU-funded Copernicus Climate Change Service implemented by ECMWF: the reanalysis of past weather and climate. One of the speakers is Chiara Cagnazzo, who supports C3S users…
An overview of ECMWF participation at the Annual Meeting of the European Meteorological Society (3–8 September 2023). Our scientists will discuss topics including probabilistic forecasting, weather and climate modelling, open data, machine…
Reanalysis data provide the most complete picture currently possible of past weather and climate. This fact sheet explains what reanalysis is and what it is used for.
ECMWF news highlights in the first seven months of 2022 include a major upgrade of the forecasting system; initiatives to drive forward weather science; and news from the EU-funded services implemented by ECMWF.
According to ERA5 data from the EU-funded Copernicus Climate Change Service implemented by ECMWF, the first three weeks of July have been the warmest three-week period on record and the month is on track to be the hottest on record, a…
In October 2022, ECMWF started to use its Atos high-performance computing facility. It has allowed the Centre to increase the resolution of its medium-range ensemble forecasts and to provide extended-range forecasts with more ensemble…
The summer 2023 issue of the ECMWF Newsletter is now available. As well as news about ECMWF staff and events, it features articles about new developments and the use that can be made of ECMWF products.
High-performance computing (HPC) in meteorology will include increasingly heterogeneous architectures and align with machine-learning developments, issues at the centre of ECMWF’s 20th Workshop on HPC in Meteorology from 9 to 13 October…