Feeling the heat: how the AIFS learns the urban heat island 12 August 2026 Cities stay warmer than their rural surroundings. By incorporating urban information, a prototype AIFS learns a realistic urban heat signal, paving the way for improved urban forecasting.
Improving tropical cyclone intensity forecasts with a simple AI correction 3 August 2026 Tropical cyclones (TCs) are among the most destructive weather systems. Improving forecasts of their track and intensity is critical for helping communities to prepare for severe winds, storm surge and flooding. Forecasting TCs has been one of the more demanding tests for machine-learning weather models. Building shared foundations for machine-learned weather prediction 14 July 2026 The ECMWF Machine Learning Project is helping transform machine-learning research into operational forecasting through coordinated collaboration on models, data and infrastructure. Adapting the AIFS for 50r1 12 May 2026 How AIFS training was adapted for IFS Cycle 50r1. Farewell to the external AI models 11 May 2026 The upgrade to IFS Cycle 50r1 highlights limitations in externally developed ML models, prompting a discontinuation of their real-time use. Anemoi: a European framework for operational AI in weather and climate 7 April 2026 Anemoi, developed collaboratively by ECMWF and national meteorological services, provides the shared foundations needed to move AI from research into real-world operations. Severe storms in the age of machine learning 27 March 2026 Comparison of ECMWF’s physics-based and machine learning forecasts for two major storms highlights strong large-scale performance but ongoing challenges in capturing localised wind extremes and storm structure. Evaluating training strategies in tropical cyclone forecasts 19 January 2026 This blog examines how training strategies affect tropical cyclone forecasts in machine-learning weather models. Does better mean better forecasts for everyone? 9 December 2025 Are improvements from the ML-based AIFS system distributed evenly worldwide or do some regions benefit more than others? Let it snow! How machine learning will forecast snow in the AIFS 26 November 2025 AIFS v2 adds snow fields, improving snow forecasts and advancing ECMWF’s ML-based Earth system modelling across land, oceans, hydrology, sea ice and waves. Introducing the Anemoi training-ready version of ERA5 28 October 2025 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. Representing ocean wind waves in ECMWF's AIFS 21 August 2025 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. Verifying 2 m temperature forecasts in wintertime anticyclonic conditions 22 May 2025 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 understand when and where differences in forecast skill emerge. Discover Anemoi: Kicking off our 2025 machine learning training 19 February 2025 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. A year in ML for weather forecasting 20 December 2024 A tour of the year past and some previews of the year to come. First AIFS model weights are now open 11 December 2024 We highlight that the first AIFS model weights are now available and explain how you can use them yourself. Accuracy versus activity 4 December 2024 Forecast performance is multifaceted. We discuss how accuracy and activity can be ‘competing’ attributes for ML-based deterministic forecasts. Run AI models yourself from ECMWF open data 26 September 2024 Users can now run AI models themselves using ECMWF’s open data, opening new possibilities for research, education and application development. Enter the ensembles 21 June 2024 We introduce a first version of an ensemble AIFS, explain how it works, show some early results and explain where you can view charts.
Building shared foundations for machine-learned weather prediction 14 July 2026 The ECMWF Machine Learning Project is helping transform machine-learning research into operational forecasting through coordinated collaboration on models, data and infrastructure.
Farewell to the external AI models 11 May 2026 The upgrade to IFS Cycle 50r1 highlights limitations in externally developed ML models, prompting a discontinuation of their real-time use.
Anemoi: a European framework for operational AI in weather and climate 7 April 2026 Anemoi, developed collaboratively by ECMWF and national meteorological services, provides the shared foundations needed to move AI from research into real-world operations.
Severe storms in the age of machine learning 27 March 2026 Comparison of ECMWF’s physics-based and machine learning forecasts for two major storms highlights strong large-scale performance but ongoing challenges in capturing localised wind extremes and storm structure.
Evaluating training strategies in tropical cyclone forecasts 19 January 2026 This blog examines how training strategies affect tropical cyclone forecasts in machine-learning weather models.
Does better mean better forecasts for everyone? 9 December 2025 Are improvements from the ML-based AIFS system distributed evenly worldwide or do some regions benefit more than others?
Let it snow! How machine learning will forecast snow in the AIFS 26 November 2025 AIFS v2 adds snow fields, improving snow forecasts and advancing ECMWF’s ML-based Earth system modelling across land, oceans, hydrology, sea ice and waves.
Introducing the Anemoi training-ready version of ERA5 28 October 2025 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.
Representing ocean wind waves in ECMWF's AIFS 21 August 2025 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.
Verifying 2 m temperature forecasts in wintertime anticyclonic conditions 22 May 2025 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 understand when and where differences in forecast skill emerge.
Discover Anemoi: Kicking off our 2025 machine learning training 19 February 2025 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.
A year in ML for weather forecasting 20 December 2024 A tour of the year past and some previews of the year to come.
First AIFS model weights are now open 11 December 2024 We highlight that the first AIFS model weights are now available and explain how you can use them yourself.
Accuracy versus activity 4 December 2024 Forecast performance is multifaceted. We discuss how accuracy and activity can be ‘competing’ attributes for ML-based deterministic forecasts.
Run AI models yourself from ECMWF open data 26 September 2024 Users can now run AI models themselves using ECMWF’s open data, opening new possibilities for research, education and application development.
Enter the ensembles 21 June 2024 We introduce a first version of an ensemble AIFS, explain how it works, show some early results and explain where you can view charts.
