Climate Change Science on Telegram by GRT: World Meteorological Organization / NASA / IPCC / ONU / OOH / UN United Nations etc.
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🧬🌊 New breakthrough in #microplastic monitoring! Researchers have developed an inexpensive, efficient method using porous materials and #MachineLearning to detect microplastics in water

Read the full article 👉 https://t.co/ahCjEXMaHY
Via @EurekAlert https://t.co/1iqMZOERe4

Red List of Ecosystems

Climate Change Science on Telegram by @ClimateChangeScience
A @grttme project - Other backups: @Hallotme
New #AIFS blog: Enter the ensembles!
Our AIFS team introduce a first version of an ensemble AIFS, explain how it works, show some early results and explain where you can view charts.
➡️ https://t.co/vBF12k730P

#ArtificialIntelligenceForecastingSystem #MachineLearning https://t.co/zG6fYTdAH9

ECMWF

Climate Change Science on Telegram by @ClimateChangeScience
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#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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
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RT @EMODnet: We are at #ICESASC24 ! Today #EMODnet Technical Coordinator Conor Delaney co-chaired a session on #ArtificialIntelligence applications including how EMODnet & @CMEMS_EU via @edito_dto created a data lake for #MarineData & #MachineLearning tools as a cloud-based community platform https://t.co/n3OMPNH3WX

Copernicus Marine

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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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
A @grttme project - Other backups: @Hallotme
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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
A @grttme project - Other backups: @Hallotme
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

Climate Change Science on Telegram by @ClimateChangeScience
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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

Climate Change Science on Telegram by @ClimateChangeScience
A @grttme project - Other backups: @Hallotme
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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