Julien Brajard

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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📣 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.

📣 🌊 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

NB: small error in the right row of figures 8 and 9.

Conditional Flow matching is a very efficient generative AI concept, close to diffusion models. Here is a wonderful and visual explanation of how it works!
dl.heeere.com/conditional-...

Researcher Position in Data Assimilation  (281670) | Nansen Environmental and Remote Sensing Center Job title: Researcher Position in Data Assimilation  (281670), Employer: Nansen Environmental and Remote Sensing Center, Deadline: Monday, August 18, 2025

We have 2 positions open at the Nansen Environmental and Remote Sensing Center (NERSC), one in data assimilation (same group as mine) and one in the ocean modelling group.

Application deadline: 18th August

www.jobbnorge.no/en/available...

www.jobbnorge.no/en/available...

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

Well done guys! But I don’t think I was part of the team 😉

Join our Cloud HD Video Meeting Zoom is the leader in modern enterprise cloud communications.

The call is open to all researcher working in a French institution.
The links for the videocall:
📅 Wednesday, June 11, 2025 – 4:00 PM (Paris time)
cnrs.zoom.us/j/9818976076...

📅 Thursday, June 12, 2025 – 12:30 PM (Paris time)
univ-lille-fr.zoom.us/j/9520884409...

Join the PNTS committee during one of the upcoming videoconferences to ask your questions and learn more about the program:

📅 Wednesday, June 11, 2025 – 4:00 PM (Paris time)
🔗 Join via Zoom (CNRS)

📅 Thursday, June 12, 2025 – 12:30 PM (Paris time)
🔗 Join via Zoom (Lille University)

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...

The program is open to French researchers—including non-permanent staff—and offers funding for project development in these areas.

📢 Learn more and apply here (deadline: 5 Sept. 2025): programmes.insu.cnrs.fr/pnts/appel_o...

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...

🚨 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.

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

📢 New CFP: Special Collection in EDS!

Calling for work exploring the convergence between #data-driven methodologies (#AI, #machinelearning) and physical modeling for Earth system science, building upon an upcoming workshop #EGU25 (@egu.eu).

ℹ️ How to submit: bit.ly/3Eq4WLV
📅 Deadline: 31 Oct 2025

And if you are looking for a venue to publish your work, please consider the following
@envdatascience.bsky.social

The Copernicus Marine Service and the European Digital Twin of the Ocean
Orals | Thu, 01 May, 14:00–18:00 (CEST) Room L2
Posters on site | Attendance Thu, 01 May, 10:45–12:30 (CEST)
meetingorganizer.copernicus.org/EGU25/sessio...

Machine Learning for Ocean Science
Orals | Thu, 01 May, 08:30–12:30 (CEST), 14:00–15:45 (CEST) Room -2.41/42
Posters on site | Attendance Thu, 01 May, 16:15–18:00 (CEST)
meetingorganizer.copernicus.org/EGU25/sessio...
@rachelfurner.bsky.social @redouanelg.bsky.social @aida-alvera.bsky.social

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

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 ☺️

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...

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

can you please add me?

[3 days:] 📚🌍 Submit to #CI2025 and have a chance to publish in @cambridgeup.bsky.social "Environmental Data Science" #OpenAccess #Science

2025.climateinformatics.com.br

In this last session, we are honored to have Julie Deshayes as solicited speaker.
@rachelfurner.bsky.social @aida-alvera.bsky.social @redouanelg.bsky.social

If you are developing or using an original machine learning algorithm for the ocean, this is where you can go: "Machine Learning for Ocean Science" meetingorganizer.copernicus.org/EGU25/sessio...

If you develop new products or models for the ocean, please consider the session "The Copernicus Marine Service and the European Digital Twin of the Ocean " meetingorganizer.copernicus.org/EGU25/sessio...

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

These diffusion models are incredibly versatile!

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

Nice session to consider with a great team of conveners 😀

🌊

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