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Reposted by Julien Brajard

Aida Alvera-Azcárate @aida-alvera.bsky.social · 08/01/2026

‪ 📣 One week left!! 📣 🌊 Call for abstracts #EGU26 !!! Please consider our session: ITS1.9/OS4.1 Machine Learning for Ocean Science meetingorganizer.copernicus.org/EGU26/sessio... Deadline 15 January 2026 @brajard.bsky.social @rachelfurner.bsky.social @redouanelg.bsky.social

A slide showing a blue surface with waves and superposed 0s and 1s on the left, and text describing the session and details for submission:

ITS1.9/OS4.1
Machine Learning for Ocean Science

https://meetingorganizer.copernicus.org/EGU26/sessionprogramme/5869#

Session abstract:
Machine learning (ML) methods have emerged as powerful tools to tackle various challenges in ocean science, encompassing physical oceanography, biogeochemistry, and sea ice research.
This session aims to explore the application of ML methods in ocean science, with a focus on advancing our understanding and addressing key challenges in the field. Our objective is to foster discussions, share recent advancements, and explore future directions in the field of ML methods for ocean science.
A wide range of machine learning techniques can be considered including supervised learning, unsupervised learning, interpretable techniques, and physics-informed and generative models. The applications to be addressed span both observational and modeling approaches.

Observational approaches include for example:
- Identifying patterns and features in oceanic fields
- Filling observational gaps of in-situ or satellite observations
- Inferring unobserved variables or unobserved scales
- Automating quality control of data

- Modeling approaches can address (but are not restricted to):
- Designing new parameterization schemes in ocean models
- Emulating partially or completely ocean models
- Parameter tuning and model uncertainty

The session also welcomes submissions at the interface between modeling and observations, such as data assimilation, data-model fusion, or bias correction.

Researchers and practitioners working in the domain of ocean science, as well as those interested in the application of ML methods, are encouraged to attend and participate in this session.

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Reposted by Julien Brajard

Aida Alvera-Azcárate @aida-alvera.bsky.social · 05/11/2025

📣 🌊 Call for abstracts #EGU26 !!! Please consider our session: ITS1.9/OS4.1 Machine Learning for Ocean Science meetingorganizer.copernicus.org/EGU26/abstra... Deadline 15 January 2026 (1 December for travel grant applications) @brajard.bsky.social @rachelfurner.bsky.social @redouanelg.bsky.social

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Julien Brajard @brajard.bsky.social · 12/07/2025

Interested in working in a world-leading and motivating research group, located in one of the most beautiful places on Earth?

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Julien Brajard @brajard.bsky.social · 10/06/2025

🚨 Call for Proposals – PNTS Program 🇫🇷 The PNTS (Programme National de Télédétection Spatiale) supports researchers developing algorithms and validation procedures for remote sensing data across diverse domains: ocean, atmosphere, continental surfaces, and solid Earth.

programmes.insu.cnrs.fr

Appel à projets en cours - Programmes de l'INSU

L’appel à projets PNTS 2026 est ouvert sur Sigap du 1er juin 2025 au 5 septembre 2025, 17h (heure de Paris). Fichier attaché Taille Texte de l’appel à projets PNTS 2026 907 Ko Dossier scientifique PNT...

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Reposted by Julien Brajard

LEAP-STC @leapstc.bsky.social · 03/06/2025

Please join us for a Summer'25 Lecture in #Climate #Data Science w/TOBIAS FINN @ecoledesponts.bsky.social! 📅 THIS THURSDAY || 6/5/25 🕛 12p EST 📍 @columbiaseas.bsky.social Innovation Hub/Zoom 💻 RSVP: www.eventbrite.com/e/1363524320... #LEAPEducation #community #physics #climatemodel #AI #ML

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Julien Brajard @brajard.bsky.social · 29/04/2025

If you are at EGU, you can check out those two sessions related to machine learning 🤖 and the ocean 🌊 @egu.eu #egu25

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Reposted by Julien Brajard

Andreas Kirsch @blackhc.bsky.social · 07/01/2025

Ever wondered why presenting more facts can sometimes *worsen* disagreements, even among rational people? 🤔 It turns out, Bayesian reasoning has some surprising answers - no cognitive biases needed! Let's explore this fascinating paradox quickly ☺️

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Reposted by Julien Brajard

NECCTON Project @neccton.bsky.social · 06/03/2025

At the NECCTON Annual Meeting in Trieste, we unveiled co-designed case studies that are reshaping fisheries management and marine conservation. Fresh tools & ideas are setting our oceans on a new course. Learn more: neccton.eu/case-studies @copernicusmarine.bsky.social @plymouthmarine.bsky.social

neccton.eu

NECCTON Case Studies

NECCTON will be working in collaboration with a range of stakeholders to supporting fisheries management and biodiversity conservation through development and exploitation of NECCTON tools and product...

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Julien Brajard @brajard.bsky.social · 07/01/2025

Happy New Year 2025!🌍 To start well the year, please consider submitting an abstract to EGU. #EGU25 @eurogeosciences.bsky.social

meetingorganizer.copernicus.org

Session OS4.7

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Julien Brajard @brajard.bsky.social · 02/12/2024

These diffusion models are incredibly versatile!

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Julien Brajard @brajard.bsky.social · 29/11/2024

Only 3 days left to submit an abstract to the Living Planet Symposium!

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Julien Brajard @brajard.bsky.social · 27/11/2024

Nice session to consider with a great team of conveners 😀

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Julien Brajard @brajard.bsky.social · 25/11/2024

Are you interested in the links between physical modeling and machine learning? What is the potential of hybrid physics/data models? Please consider submitting to the special issue of the "Environmental Data Science" journal www.cambridge.org/core/journal... @cambridgeup.bsky.social

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Julien Brajard @brajard.bsky.social · 25/11/2024

I am very glad to share this review paper: 📃 "Machine Learning for the Physics of Climate." As stated in the title, the review targets the opportunities and challenges of machine learning for climate physics. www.nature.com/articles/s42... @pedramh.bsky.social

nature.com

Machine learning for the physics of climate - Nature Reviews Physics

Artificial intelligence techniques, specifically machine learning, are being increasingly applied to climate physics owing to the growing availability of big data and increasing computational power. T...

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Julien Brajard @brajard.bsky.social · 24/11/2024

Very pedagogical introduction to transformers with beautiful visuals.

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Reposted by Julien Brajard

Tom Andersson 🌍 @tom-andersson.bsky.social · 24/11/2024

Beautiful introduction to transformers in this lecture by 3blue1brown / Grant Sanderson: youtu.be/KJtZARuO3JY?...

youtu.be

Visualizing transformers and attention | Talk for TNG Big Tech Day '24

YouTube video by Grant Sanderson

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Reposted by Julien Brajard

Marius Årthun @mariusarthun.bsky.social · 21/11/2024

A good opportunity for a first post. Come work with us!

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Julien Brajard @brajard.bsky.social · 20/11/2024

The Living Planet Symposium 2025 conference will take place 23–27 June 2025 in Vienna, Austria! 🌍 🔔 Abstract submission deadline: 1 December 2024 I warmly invite you to contribute to our session: D.02.04 Machine Learning for Earth System Observation and Prediction

registration.lps25.esa.int

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Julien Brajard @brajard.bsky.social · 20/11/2024

Hello @bsky.app! I'll be posting occasionally to share updates on my work, conference sessions, and online meetings related to machine learning applications in Earth System Science, particularly focused on the Arctic and the Ocean. 🌊❄️ Looking forward to connecting with others in this space!

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