M²LInES newsletter July 2025
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!
01.07.2025 12:30 — 👍 1 🔁 0 💬 0 📌 0
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...
28.05.2025 15:09 — 👍 3 🔁 1 💬 1 📌 0
M²LInES newsletter June 2025
🌊 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
03.06.2025 13:51 — 👍 0 🔁 0 💬 0 📌 0
Apply - Interfolio
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🚨 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
20.05.2025 11:39 — 👍 2 🔁 0 💬 0 📌 1
LinkedIn
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🚀 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
01.05.2025 18:35 — 👍 0 🔁 0 💬 0 📌 0
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...
03.04.2025 09:29 — 👍 1 🔁 0 💬 0 📌 0
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-...
19.03.2025 16:29 — 👍 2 🔁 1 💬 0 📌 0
🚨 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!
04.03.2025 09:18 — 👍 0 🔁 0 💬 0 📌 0
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...
04.02.2025 19:08 — 👍 2 🔁 0 💬 0 📌 0
LinkedIn
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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
31.01.2025 14:34 — 👍 3 🔁 2 💬 1 📌 0
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
20.12.2024 18:35 — 👍 7 🔁 0 💬 0 📌 0
Director of Climate Simulation Research at NVIDIA and Professor of Earth System Sciences at UC Irvine. Let’s make better use of modern AI and HPC, improve the Earth simulation technology stack, and better understand cloud climate feedbacks.
AGU is a global community supporting more than half a million advocates and professionals in Earth and space sciences.
Scientist and Startup Founder
Co-Founder and CEO @Earthmover
@pangeo_data steering council member
ex-Professor @Columbia @LamontEarth
PhD candidate @Columbia University, Simulation Intelligence Resident @Pasteur Labs&ISI, GRA @leapstc.bsky.social LEAP NSF-STC | SciML for Turbulence and Data Assimilation | Math -> Atmospheric Science
https://yongquan-qu.github.io
Climate Scientist at NOAA GFDL | Interested in Polar Climate Change and Predictability | gfdl.noaa.gov/mitch-bushuk
US Climate Variability and Predictability Program - Investigating the global climate system across multiple time scales emphasizing the role of the ocean.
Learn more at usclivar.org
Professor of Computer Science, Data Science and Mathematics (aff), Courant Institute of Mathematical Sciences and Center for Data Science, New York University. Visiting Scholar at Flatiron Institute.
Official account of the NYU Center for Data Science, the home of the Undergraduate, Master’s, and Ph.D. programs in data science. cds.nyu.edu
Chai addict and postdoc at Princeton U. (in collaboration with GFDL) working in physical oceanography.
Ph.D. from Brown University.
Website: https://aakashsane.gitlab.io
Postdoc @Princeton University (GFDL) | stats & sea ice | he/him
Website: https://William-gregory.github.io
Research Oceanographer @ Princeton University, affiliate NOAA-GFDL | Physical oceanography, numerical methods, climate | astrophotography, sci-fi, food, wine, bourbon, coffee (probably should be in opposite order)
Revolutionizing climate projections by integrating climate and data science, through innovation, diversity, legacy, and impact.
{ MAIN: leap.columbia.edu }
{ EVENTS: leap.columbia.edu/events }
{ NEWS: leap.columbia.edu/news }
Professor in Meteorology and Computer Science, Director of the NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES), mom to @wrmf.bsky.social and @agileschnauzers.bsky.social
Astrophysicist turned Climate Scientist | AI for Science | Professor of Physics at @cuny.bsky.social; happy camper at @leapstc.bsky.social | Author, ML for Physics and Astronomy: https://shorturl.at/VJ9k9 | Lover of puns, data, good people, and unfinished
Professor | Climate Scientist | AI for Earth System Prediction
Machine Learning Scientist at NSF NCAR in Boulder, CO. Interested in the linkages among AI, weather, climate, disasters, and impacts.
Climate Data Scientist at Institut Pierre-Simon Laplace and IRD, Sorbonne University | Cofounder of MoroccoAI
Https://redouanelg.github.io
Anti-Fascist Climate Scientist and Software Engineer.
Use technology to fight the climate crisis and democratize science, not to sell ads and form oligarchies!
International project using Eco-Evolutionary Optimality theory to develop a next-generation
terrestrial biosphere model. Led by Sandy Harrison & Colin Prentice. This project is supported by Schmidt Sciences, LLC.
research.reading.ac.uk/lemontree
Professor @Columbia University, Director of @LEAPstc NSF Science and Technology Center, Working on #climate, #water and #ecology, born at 335ppm, views my own
