What’s new at M²LInES:
🧊 FloeNet: ML emulator for sea-ice dynamics @willjgregory.bsky.social
🌐 Diffusion-based neural surrogate for stable climate simulations - Qi Liu, @joanbruna.bsky.social
🌎 Highlighted in the 2025 @schmidtsciences.bsky.social Impact Report
mailchi.mp/4bca7e3e26ce...
🚨 We’re hiring at M²LInES!
2 postdoc positions on AI Earth System Models for seamless prediction, working with Laure Zanna, @joanbruna.bsky.social, Carlos Fernandez-Granda
Apply: apply.interfolio.com/183889 apply.interfolio.com/183900
Please share! #AI #ClimateScience #MachineLearning
🌍 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
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...
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
