RT @gpbalsamo: @ECMWF Matt Chantry gave an inspiring lecture on the Rise of #AI & Machine Learning #ML for #Weather at the 2023 Annual Seminar #AS2023.
Experimental #WeatherML models run by #ECMWF are now on #ECchart, see for instance @GoogleDeepMind #GraphCast forecasts charts.ecmwf.int/products/gr…
This afternoon at #AS2023, Matthew Chantry from #ECMWF explores some applications of #reanalysis in #MachineLearning and looks towards the future of this domain.
'Reanalysis: the bedrock of machine learning of the Earth system'
🔴 Watch from 14:00 BST ➡️ events.ecmwf.int/e/AS2023 - ECMWF

ECMWF

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#ECMWF’s Member States have approved two major initiatives aimed at intensifying the use of #MachineLearning in #weather forecasting: #ML resources will be increased within ECMWF, and Member States will join forces to provide their expertise.
Read more ➡️ ecmwf.int/en/about/media-cen…

ECMWF

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RT @MetEireann: Met Éireann is one of the members involved in this timely pilot project on Machine Learning (ML) in forecasting led by the ECMWF.
This is one of a number of initiatives we are partners in relating to #machinelearning and #articialintelligence

#ECMWF’s Member States have approved two major initiatives aimed at intensifying the use of #MachineLearning in #weather forecasting: #ML resources will be increased within ECMWF, and Member States will join forces to provide their expertise.
Read more ➡️ ecmwf.int/en/about/media-cen… - ECMWF

ECMWF

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RT @esaclimate: A new high-resolution #landcover training benchmark dataset is available to support #DeepLearning techniques and machine learning approaches.

The map provides an impressive 117 BILLION pixels at 10 METRE RESOLUTION for Sub-Saharan #Africa, the #Amazon & #Siberia

Bratic G et al (2023) doi.org/10.3390/rs15153774
1/2 #ML #AI

ESA Earth Observation

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New #AIFS blog: with colleagues from MET Norway (@Meteorologisk), we describe our collaboration on regional modelling and outline Anemoi, our work towards an #ML framework for data-driven weather forecasts.
➡️https://t.co/PbVBmURZ5G https://t.co/35bN7T6zgP

ECMWF

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This afternoon’s session at the 4th @ESA–ECMWF Workshop on #MachineLearning for Earth Observation and Prediction has expert discussions on #ML for #DestinationEarth.

View the full programme ➡️ https://t.co/NNOgU647Uu

#AIforEOWS #ml4esop #DestinE

@Dr_RSchneider https://t.co/OsYMxChYve

ECMWF

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New science blog: As one of the organisers of the joint
@esa–ECMWF Workshop on #MachineLearning for Earth System Observation and Prediction, Massimo Bonavita discusses highlights and considers the future role of #ML for #weather and #climate prediction. ➡️ https://t.co/UHfud9SVtJ https://t.co/S3lp9JTJWI

ECMWF

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New science blog: As one of the organisers of the joint
@esa–ECMWF Workshop on #MachineLearning for Earth System Observation and Prediction, Massimo Bonavita discusses highlights and considers the future role of #ML for #weather and #climate prediction. ➡️ https://t.co/UHfud9SVtJ https://t.co/WkYDGWLfp9

ECMWF

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The application of artificial intelligence to NASA #weather and #climate model data is opening new doors to science and public safety. #AI #ML

Read more about the development of the Prithvi-weather-climate foundation model in a new Earthdata blog: https://t.co/UgHA4apUU6 https://t.co/DGbS3AAUGA

NASAEarthdata

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RT @laurezanna: Excited to share our recent perspective in @NatureClimate on Machine Learning for Climate across academia & industry. 🙏 to @aspenglobal for hosting a productive and collaborative workshop!
https://t.co/OHnFI3E1n0

@M2LInES @SchmidtFutures @schmidtsciences @LeapStc

So pleased to share another paper by an amazing interdisciplinary team, including LEAPers @PierreGentine @katiedagon @DJGagneDos @SciPritchard + @laurezanna!

Read: https://t.co/GOviCdLmnw

@NSF @columbiaclimate @CUSEAS #teamwork #community #climate #ML #AI #data #scienceforgood https://t.co/ZG3bf1wtkS - LEAP-STC

NatureClimate

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🌍🌐 Help us unveil the power of ML in #DestinE. We are looking for organisations with expertise in educational content development to help us create engaging #ML training material. Submit your proposal by 20 November ➡️  https://t.co/iG6ZZ1N4zW https://t.co/wQwRWKaWc1

ECMWF

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🌍🌐 A new climate emulator for Destination Earth (#DestinE)! @predictia and partners will develop an #ML-based #climate emulator, reproducing some features of the Climate DT at a reduced computational cost. Learn more ➡️ https://t.co/twrbm9Ah0p https://t.co/ZmE2eEusjQ

ECMWF

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