🌍 Announcing SamudrACE, our AI climate emulator built so scientists & planners can run “what-if” climate experiments quickly. Traditional models are slow and costly; SamudrACE makes high-quality simulations fast & more accessible. 🧵

SamudrACE: A fast, accurate, efficient 3D coupled climate AI emulator A fast digital twin of a state-of-the-art coupled climate model, simulating 800 years in 1 day with 1 GPU. SamudrACE combines two leading…

Excited to share SamudrACE, the first 3D AI ocean–atm–sea-ice #climate emulator! 🚀 Simulates 800 years in 1 day on 1 GPU, ~100× faster than traditional models, straight from your laptop 👩‍💻 Collaboration with @ai2.bsky.social and GFDL, advancing #AIforScience with #DeepLearning.
tinyurl.com/Samudrace

✨Check out our new newsletter 👉 mailchi.mp/0608f769fe88... ✨
🔹 SamudrACE – a new M²LInES–Ai2 ML coupled climate model
🔹 CAM5–CAM6 Supermodel – by William Chapman and colleagues
🔹 CERA – a new hashtag#machinelearning framework designed to improve climate-change generalization

September is here with a fresh M²LInES Newsletter! tinyurl.com/M2lines-sep25
🌀New neural net replacing Gent-McWilliams in ocean models
🔌From @leapstc.bsky.social, @yongquan-qu.bsky.social introduces Plug-and-Play DA
📰New IOP Journal - Machine Learning: Earth @pierregentine.bsky.social

Happy July! Our M²LInES Newsletter is out! mailchi.mp/8877fdc291c9...
🧊 @willjgregory.bsky.social et al. introduce a hybrid ML–climate model that improves sea ice forecasts + 🌊 Perezhogin et al. present a generalizable NN parametrization for mesoscale eddy.
and more news!

We have a new @m2lines.bsky.social pre-print which shows how machine learning can be used for state-dependent bias correction to improve global coupled climate model sea ice forecasts - take a look!

doi.org/10.48550/arX...

🌊 New in our June newsletter:
🧠 Verma et al. use deep learning to reduce surface ocean biases
🌐 Darman et al. boost ocean model generalization with transfer learning
➕ More updates & news!
Read: mailchi.mp/105744018d4b...
#OceanScience #ML #ClimateModeling

🚨 We’re hiring a postdoc at NYU Courant & @nyudatascience.bsky.social to build #AI foundation model for ocean & atmosphere 🌊☁️ as part of @m2lines.bsky.social!
Work with Profs. Laure Zanna, @joanbruna.bsky.social & Carlos Fernandez-Granda.
Apply: apply.interfolio.com/167915
#MLforScience #ClimateAI

🚀 The latest M²LInES newsletter is out! 🚀
🔹 The CAMulator is here: A machine-learned emulator of CAM6!
🧠 Advancing ensemble Kalman filters with deep learning
...and more!
📬 Check it out here: mailchi.mp/778fbbb17f80...
#MachineLearning #ClimateScience #WeatherPrediction #MLforClimate

Novel technique to stabilize emulators, Sea-ice predictions, and the best future path for climate modeling: those are all in our M²LInES April newsletter and much more! ➡️ mailchi.mp/efd79c6eae08...

Samudra: The AI Ocean Emulator That Runs 150 Times Faster Than Traditional Models Samudra, an AI ocean emulator by CDS researchers, runs 150x faster than previous models — turning climate simulations from days into hours.

CDS researchers built Samudra, an AI ocean emulator that runs 150x faster than traditional models. Unlike past AI attempts, it stays stable for centuries.

Developed at @m2lines.bsky.social by Laure Zanna, Carlos Fernandez-Granda, & others.

nyudatascience.medium.com/samudra-the-...

🚨 March Newsletter is out now! 🚨 mailchi.mp/14656511dff3...
Check out our latest updates:
🔬 A new study by postdoc Alex Connolly on the power of Physics-Informed Machine Learning
🌊 How Machine Learning is used to improve sea surface height prediction
and more!

Our February newsletter is out! Catch up on our latest news such as: our JupyterBook to learn machine learning for climate led by Dhruv Balwada, a recent study to address artifacts in ML parametrization, youtube channel by Carlos Fernandez-Granda, and more! mailchi.mp/382387c99943...

Postdoc Job Alert at Princeton University / NOAA GFDL
puwebp.princeton.edu/AcadHire/app...

If you're interested in sea ice modeling and machine learning, then look no further! This job is a great opportunity to be part of the exciting developments happening in the field of hybrid climate modeling

Meet “Samudra”: M²LInES’ AI Global Ocean Emulator for Climate 🌊 M²LInES is excited to present Samudra (Sanskrit for Ocean) — a neural network global ocean emulator. Samudra is trained on data from a…

M²LInES is on Bluesky! What better way to start here than share all about our AI Global Ocean Emulator for Climate ?
Samudra is stable, reliable, and 150x faster than a numerical model!
🌊 Read more about Samudra in our blog post👇 tinyurl.com/samudra-ai