#MachineLearning is playing an increasing role in #WeatherForecasting.

Find out about machine-learning-based progress in improving the initial conditions and the trajectory of physics-based forecasts
➡️https://t.co/6d1b4iiC25 https://t.co/drGDVSsynt

ECMWF

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How is #MachineLearning going to advance weather forecasting? Director-General @FlorenceRabier sets out the growing role of machine learning at ECMWF as well as the continuing importance of physics-based modelling ➡ https://t.co/YuIHMwYICI https://t.co/kNUaHejqZc

ECMWF

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RT @EMODnet: Join the #OceanICU decision support tool webinar & hear from #EMODnet and @CMEMS_EU experts on how the @edito_dto is being used to build prototypes and run scenarios. Find registration details below! 🌊

Are you interested in the intersection of science and policy? Join us on September 19th at 15:00 CET for an engaging webinar on decision support tools. Register here https://t.co/03TlLGiHof
#EUGreenDeal #AI #MachineLearning @HorizonEU https://t.co/wbUmE5EsiD - OceanICU Project

Copernicus Marine

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New #AIFS blog: Run AI models yourself from ECMWF open data

Users can now run #AI models with our open data, opening new possibilities for research, education and application development.

➡️ https://t.co/XhmnnSCMfN

#ArtificialIntelligenceForecastingSystem #MachineLearning https://t.co/Yn7g5ogBrO

ECMWF

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We are coordinating an EU-funded project that aims to use #MachineLearning in novel ways for #WeatherForecasting and related #EarthSystem modelling.

Find out more about the aims and methods of the WeatherGenerator project ➡️ https://t.co/mF0emz1x7v

@C2SM_ETH @cscsch https://t.co/ruT3oXOlBz

ECMWF

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What is Anemoi? Named after the Greek gods of the winds, it is a framework for creating #MachineLearning weather forecasting systems, created by several national meteorological services across Europe and ECMWF. Find out more here ➡ https://t.co/Trh4fzQcMz https://t.co/7iyIZWSTrC

ECMWF

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RT @eurocc_austria: How do you develop a #MachineLearning weather forecasting system? Find out next week at our webinar - expert Mariana Clare will give insights into the data-driven forecasting model AISF of @ECMWF.

#AI for Weather & Climate
🗓️13 November
➡️Register https://t.co/RkqBDx0lLP https://t.co/Pvy3pVQ6SC

ECMWF

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RT @Expect_Project: At EXPECT, we're advancing regional #ClimateChange predictions and bridging key knowledge gaps with advanced models, #MachineLearning, and global collaboration.🤖🔍🤝

Join us as we tackle the complexities of regional climate changes and extreme weather 👉 https://t.co/QxqZuqHLcy https://t.co/8UzRPpGuf5

ECMWF

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Join #OP24 Session 5.1 on #MachineLearning in #OceanScience
🔹 Biogeochemical forecasting
🔹 Neural networks for seasonal predictions
🔹 Deep learning for ocean currents
🔹 Data assimilation techniques
To advance ocean modeling & prediction with us :
👉https://t.co/wxLxu8xwsS https://t.co/e1vQkbkzTn

Mercator Ocean International

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RT @MercatorOcean: Join #OP24 Session 5.1 on #MachineLearning in #OceanScience
🔹 Biogeochemical forecasting
🔹 Neural networks for seasonal predictions
🔹 Deep learning for ocean currents
🔹 Data assimilation techniques
To advance ocean modeling & prediction with us :
👉https://t.co/wxLxu8xwsS https://t.co/e1vQkbkzTn

Copernicus Marine

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New #AIFS blog: Forecast performance is multifaceted. Zied Ben Bouallègue and the AIFS team discuss how accuracy and activity can be ‘competing’ attributes for #MachineLearning-based deterministic forecasts.
➡️ https://t.co/rdFGxsRQNH https://t.co/tSkFsb8Ce2

ECMWF

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New #AIFS blog: we highlight that the first AIFS model weights are now available and explain how you can use them yourself ➡️ https://t.co/ECMn50kFSY
#MachineLearning https://t.co/BKvwtZlBQT

ECMWF

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Our news highlights from 2024 include a major upgrade of the #IntegratedForecastingSystem; initiatives to drive forward weather science, including #MachineLearning; and news from the EU-funded services implemented by ECMWF.

For details ➡️ https://t.co/0RDq6ah6Xv https://t.co/OcmIeq21jO

ECMWF

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In a new Data-in-Action story from NASA #PODAAC, “Deep Learning Improves Global Satellite Observations of Ocean Eddy Dynamics”, read how #machinelearning has been applied to create a new higher resolution dataset for examining ocean mesoscale eddies.
https://t.co/4kFr7kZcR2 https://t.co/csxcX0QOum

NASAEarthdata

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New #AIFS blog: #MachineLearning (ML) for #weather and climate has continued to evolve at breathtaking pace.
Matthew Chantry takes us on a tour of the year past and gives some previews of the year to come.
➡️ https://t.co/BP9s1NTdQv https://t.co/Zzba0zc8gF

ECMWF

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If you are at #AMS2025, make sure to attend today’s presentation by our Director-General, @FlorenceRabier.

At 17:00 CST, she will talk about the future of ECMWF and our use of #MachineLearning.

More information
➡️https://t.co/YfTNjAPuku https://t.co/0u0pTJbP1I

ECMWF

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Our new 10-year Strategy sets out anticipated progress and direction for the whole of ECMWF. Find out about its main points, including an emphasis on collaboration and the growing role of #MachineLearning in weather prediction ➡️ https://t.co/1aSFKVy1mC https://t.co/sbHdJnXa3k

ECMWF

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🆕 PIK-led research work in @ClimateActionSN generates the map of research on #ClimatePolicy from 85,000 individual studies. It informs existing gaps in knowledge and facilitates the summarisation of the state of knowledge for governments. #MachineLearning
https://t.co/io7sqADo6A https://t.co/KzffkGdOOX

Potsdam Institute for Climate Impact Research PIK

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This week we hosted @environmentca's Cécile Siewe & Heather Aucoin to discuss recent updates & plans in research, high-performance computing and #MachineLearning. Our thanks also to Charlie Hébert-Pinard for her contribution to ECMWF-ECCC collaboration while working on Anemoi. https://t.co/HJgyNwO3bM

ECMWF

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