@rachelfurner

@rachelfurner.bsky.social

I'm a research scientist looking at data-driven/ML ocean models. Recent promotion to Dr! Parent to two adorable small humans. No idea what free-time is anymore... but I used to enjoy baking and reading, and one day will return to these hobbies!

Registration for the Ocean Predict AI task team workshop closes tomorrow! The agenda and registration link are available at oceanpredict.org/events/ai-tt.... We'd love to see you there in person, but talks will be streamed so do also register if you want to attend remotely.

AI-TT workshop - Ocean Predict

Machine Learning for Ocean Prediction: Methods, Applications & Challenges - REGISTRATION extended to 27 Feb 2026

oceanpredict.org

@rachelfurner@rachelfurner.bsky.social · 6mo ago

Registration now open for the first OceanPredict ArtificiaI Intelligence Task Team Workshop at UQAM, Montreal, Canada, 13-14 April 2026. oceanpredict.org/events/ai-tt... We're finalising the agenda to share next week -- its full of interesting talks & posters. Its shaping up to be a great event.

Ocean Predict Logo

One week left to submit abstracts to our #EGU2026 session Machine Learning for Ocean Sciences. We'd love to hear from you! www.egu26.eu/session/57611

Session ITS1.9/OS4.1

egu26.eu

Aida Alvera-Azcárate@aida-alvera.bsky.social · 7mo ago

‪ 📣 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.

It's about time we start organizing the Liege Colloquium for 2026! Submesocale Processes in the ocean will be the topic, a revisit of the Colloquium of 2016. 10 years of advances! I'll try to document here the journey towards organizing such an event, maybe there's interest? #LiegeOcean26 🌊🧪

Satellite image showing the ocean in shades of blue and green, with swirls and filaments. The land is in green. The image is located in the southeast coast of Norway, measured by Sentinel 2 on 19 May 2025

Great to be in Vienna for #EGU2025, presenting this afternoon on data driven ocean modelling. Lovely to already bump into lots of friendly faces over morning posters, looking forward to the rest of the week!

ECMWF@ecmwf.int · last yr.

We will be at the European Geosciences Union (EGU) General Assembly next week, presenting developments from across #ECMWF. Find out which sessions we are involved in as speakers, poster presenters and conveners ➡ www.ecmwf.int/en/about/med... #EGU2025 @egu.eu

EGU flags in background. Text: "27 April - 2 May 2025. ECMWF at EGU General Assembly"

In amongst all the chaos of early January and a return to reality, this paper from my PhD got published! We show that a UNet trained to emulate an idealised ocean configuration works brilliantly overall, but very badly near land....

Environmental Data Science @envdatascience.bsky.social · 2y ago

Recently published: The challenge of land in a neural network ocean model 👉 bit.ly/4jbtJmB By @rachelfurner.bsky.social and colleagues #MachineLearning #oceanography #forecasting #coast

It's been great to see posts about #AGU24 this week. If, like me, you feel you've missed out, there's still time to submit an abstract for #EGU25 in Vienna at the end of April. We're running a session on machine learning for ocean science, send us an abstract if you're working in this area.

@rachelfurner@rachelfurner.bsky.social · 2y ago

Excited to be convening the Machine Learning for Ocean Sciences session at #EGU2025. If you're working on anything related, please consider submitting an abstract for our session. meetingorganizer.copernicus.org/EGU25/sessio...