🌍 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. 🧵
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
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!
🌊 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
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...
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.
🚨 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...
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
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
