Can an LLM port a complex Fortran ocean model to C++/Kokkos and make it run on GPUs? Yes. We did it with FESOM2: production runs, ~3–4× speedup vs CPU, same code on LUMI, MareNostrum5 and JUPITER. Fortran as executable specification? Maybe yes :) arxiv.org/abs/2606.11356

An Ocean Model Ported by a Large Language Model: Experience and Lessons from FESOM2 (Fortran to C to C++/Kokkos)

Large language models (LLMs) can translate and modify source code, and have been shown to do so for codes of different complexity. Whether they can port a complete, production geophysical model to a d...

arxiv.org

Excited to share our new paper: Global Kilometer-Scale Climate Storylines Using Spectral Nudging doi.org/10.1029/2025... The first global km-scale coupled climate storyline framework for physically consistent “what-if” reconstructions of recent extreme events across different climate states.

Global Kilometer‐Scale Climate Storylines Using Spectral Nudging

Combines the storylines approach using spectral nudging with km-scale modeling km-scale storylines deliver localized and granular information on extreme events

doi.org

Built a demo agent for ERA5 on @earthmover.io Arraylake: fast slice access means you can retrieve, iterate & visualize without the coffee breaks. Eurus supports NL→retrieval+analysis, CLI/web/MCP, and a Python REPL (pandas/xarray/cartopy). Video below. Repo+HF: lnkd.in/deQMCNmH lnkd.in/dAbhnKSr

"Introduction to Physical Oceanography" by R. Stewart is now on GitHub. Free for everyone as it always was. github.com/introocean/i...

GitHub - introocean/introocean-en: Introduction to Physical Oceanography by R. Stewart

Introduction to Physical Oceanography by R. Stewart - introocean/introocean-en

github.com

Pleased to share our Year of Polar Prediction (YOPP) synthesis paper on achievements, impacts, and lessons learned — and what’s next for polar prediction. journals.ametsoc.org/view/journal...

'Taming the Petabytes' — A story on how our colleagues with the DKRZ have made km-scale climate data usable. Read on and learn more about a strategy combining virtual datasets, a cloud storage emulator, and a flexible cataloging framework. ↪️ eerie-project.eu/blog/2025/12... #ClimateResearchNet

Taming the Petabytes: Making km-scale climate data usable - EERIE

In the past few years, climate modeling has taken a remarkable leap forward, especially with the development of km-scale Earth system models (ESMs). These

eerie-project.eu

🌐 It's the EGU time of the year again! The @egu.eu General Assembly 2025 will feature an extensive participation by #EERIEproject researchers. We’ve put together all the sessions in which they’ll participate and the posters they’ll have displayed. Read below! ⤵️ eerie-project.eu/news/2025/04...

💼 Looking for a #job? We're #hiring! The @awi.de is seeking to employ a skilled and motivated Scientist with expertise in Python programming and a solid background in oceanic, atmospheric or climate dynamics. ➡️ Check all the details on our website: eerie-project.eu/job-applicat...

How will interaction with geophysical data evolve in the age of AI? 🤖🌍 In our latest preprint, we explore this question - not just conceptually, but with a hands-on prototype using the PANGAEA archive. Check it out! arxiv.org/abs/2503.05854

Accelerating Earth Science Discovery via Multi-Agent LLM Systems

This Perspective explores the transformative potential of Multi-Agent Systems (MAS) powered by Large Language Models (LLMs) in the geosciences. Users of geoscientific data repositories face challenges...

arxiv.org

🚨 Last chance to submit your application! 🚨 🌊 Scientist in High-Resolution Sea Ice Modeling 🔗 jobs.awi.de/Vacancies/19... 🧠 Scientist in AI-based Emulation for High-Resolution Sea Ice Modeling 🔗 jobs.awi.de/Vacancies/19... Please share! 🧪❄️🌍 #ScienceJobs #SeaIce #AI

🌍🌐 What if we could replay recent extreme weather under different climate conditions? With storyline simulations in the EU’s #DestinE initiative, scientists are reconstructing past, present, and future extreme weather to help us adapt to climate change. Learn more ➡️ destine.ecmwf.int/news/replayi...

Preprint summarizing the first results from the nextGEMS project, which prepares several coupled models to run at kilometer scale: egusphere.copernicus.org/preprints/20... 🧪

Happy to share our latest paper, which summarizes the key outcomes of the Year of Polar Prediction (YOPP)—a decade-long international effort (2013–2022) led by the WMO’s World Weather Research Programme. Read the full paper here: journals.ametsoc.org/view/journal...

🚨 Job Alert! 🚨 Our team is hiring for the @terradt.bsky.social project. 🌊 Scientist in High-Resolution Sea Ice Modeling 🔗 jobs.awi.de/Vacancies/19... 🧠 Scientist in AI-based Emulation for High-Resolution Sea Ice Modeling 🔗 jobs.awi.de/Vacancies/19... Please share! 🧪❄️🌍 #ScienceJobs #SeaIce #AI

Thanks to the Swiss knives purchased during our time in #Zürich🇨🇭 for the #EERIE25 General Assembly, we've managed to slice and squeeze a three-day meeting into a 4-minute video summary 📹 ▶️ Whether you attended or not, this you should not miss! www.youtube.com/watch?v=DezJ...

#EERIE25 General Assembly summary

YouTube video by EERIE Project

youtube.com

This is the description of our km-scale coupled climate model configuration. A lot of details in a thread from @trackow.bsky.social 🧪

Thomas Rackow 🧊@trackow.bsky.social · 2y ago

Our article is out in @eurogeosciences.bsky.social's GMD journal, on global multi-year kilometre-scale modelling with @ecmwf.bsky.social’s IFS coupled to FESOM2.5 (finer than 5km). See the paper here: doi.org/10.5194/gmd-... This is what we found: (🧵1/n)

New webpage gives a concise overview of the Destination Earth (DestinE) digital twin on Climate Change Adaptation (Climate DT) and its functionalities, models, simulations and how to access data via the DestinE Platform. destine.ecmwf.int/climate-chan...

Starting in 90 mins!👇 Info + link: eerie-project.eu/event/storms... #ClimateResearchNet

Our work will also be (remotely) presented at #AGU24 ! agu.confex.com/agu/agu24/me... Dec 11, 01:30pm - 02:30pm (Central Time) Dec 12, 07:30am - 08:30am (Central Time)

Thomas Rackow 🧊@trackow.bsky.social · 2y ago

We have a new paper out in @science.org today, led by Helge Goessling from #AWI: The recent global temperature surge in 2023 was intensified by a record-low planetary #albedo 👉 doi.org/10.1126/scie... @thomasjung.bsky.social @ecmwf.bsky.social This is what we found (🧵1/8)

Looking forward to present our recent storyline work on extreme hydological events in fall 2024

Amal John@amaljohn.bsky.social · 2y ago

🌪️ Tales from the Storm at #AGU24! Check out our km-scale storyline simulations of Hurricane Helene and other 2024 extremes. 📢 @thomasjung.bsky.social will present: How storyline simulations answer “what if” questions. 📅 Tue, 10 Dec 2024📍NH22B, 202 A ✨ Learn more: doi.org/10.22541/ess...

Wind over the Atlantic from a 5 km resolution model. Different surface types interact with wind in unique ways, which is why the continents are distinctly visible in the wind field. 🧪 Model: IFS-FESOM | U component of the wind | Project: nextGEMS | Simulations: @trackow.bsky.social #SciArt

In 2023, global mean temperature approached 1.5K above pre-industrial levels, with our study suggesting that a record-low planetary albedo—driven by declining low-cloud cover—helps explain the unexplained portion of the warming beyond (expected) anthropogenic influences and El Niño.

Thomas Rackow 🧊@trackow.bsky.social · 2y ago

We have a new paper out in @science.org today, led by Helge Goessling from #AWI: The recent global temperature surge in 2023 was intensified by a record-low planetary #albedo 👉 doi.org/10.1126/scie... @thomasjung.bsky.social @ecmwf.bsky.social This is what we found (🧵1/8)

This is joint work with many colleagues from @ecmwf.bsky.social, including @clessig.bsky.social @xpedruzo.bsky.social @jesper.drams.ch @fpappenberger.bsky.social,and #AWI colleagues @oceanographer.bsky.social @thomasjung.bsky.social Read more on it here destine.ecmwf.int/news/ai-base... (7/7)

AI-based weather models: promising future supporting climate science

AI-based weather models have made transformational progress in the last years. Find out more in a preprint paper co-authored by ECMWF and AWI.

destine.ecmwf.int

🚨 Freshwater bottleneck in the Arctic? 🌊 A Beaufort Gyre freshwater release shifts to a buffer zone near Greenland, delaying Arctic freshwater flow to the North Atlantic. Implications for ocean stratification, salinity anomalies, & AMOC? Read in Nature Geoscience: www.nature.com/articles/s41...

Arctic freshwater anomaly transiting to the North Atlantic delayed within a buffer zone - Nature Geoscience

Freshwater being released from the Beaufort Gyre is accumulating in an Arctic Ocean buffer zone before it can reach the North Atlantic, according to an analysis of satellite observation and modelling.

nature.com

The storyline approach isn’t new, but for the first time, we’re using it with 10km resolution! 🌍 See how extreme events might have looked in the past, without climate change, and how they could unfold in a +2°C future. Check out our work led by Amal John: essopenarchive.org/users/852952...

🌊 Ocean currents around Antarctica from our high-resolution (3 km) ocean model. 🧪 #FESOM #SciArt

New class of model bugs detected: resolution-dependent bugs emerge as we transition to kilometer-scale climate models, revealing issues hidden in lower resolutions. Preprint available, thanks to work in the EU projects nextGEMS and @eerie-project.bsky.social. doi.org/10.5194/egus...

A case for open communication of bugs in climate models, made with ICON version 2024.01

Abstract. Climate models are not just numerical representations of scientific knowledge, they are also human-written software programs. As such, they contain coding mistakes, which may look mundane, b...

doi.org

Inaugural first #BlueSky post, re-sharing our latest paper! Still on the front page of Communications Earth & Environment 👇 doi.org/10.1038/s432...

Nature Portfolio@natureportfolio.nature.com · 2y ago

A paper in Communications Earth & Environment presents an automated system that unveils the climate change signal of the day in near-real-time storylines. The system suggests that storm Boris deposited about 9% more rain due to human-induced warming. go.nature.com/3ClX3Wq 🧪