My brothers released a new music album. Check it out!
Spotify: open.spotify.com/album/3ihT8A...
Bandcamp: goinsane.bandcamp.com/album/nonsense
YouTube Music: music.youtube.com/playlist?lis...
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
🔴 Are you in #Barcelona? Are you interested in #ClimateChange?
Then this **EERIE Project public lecture** is for you! ⤵️
💡 New Views of Climate Change - Insights from Kilometer-Scale Earth System Models
🗓️ Monday, March 9
🕕 6pm CET
🏢 @bsc-cns.bsky.social
Register here: events.hifis.net/event/3767/
New opportunity in our group!
🌍 ClimSight is a system that allows users to get answers to climate-related questions based on very local climate information. Check out the short video to learn the core ideas, and dive into the paper if you’d like to explore the details:
📄 lnkd.in/eReWQ4x6 🧪
DestinE’s just dropped “From Past to Future” videos: km-scale replays of real floods & hurricanes under past, present & +2 °C climates. See exactly how warming reshapes impacts—turning high-res science into must-see visuals. 🧪
destine.ecmwf.int/news/storyli...
www.youtube.com/watch?v=5V62...
How much do LLMs “know” about present-day climate?
We asked 17 models for July 1991–2020 temperatures at 15 000+ land points — and many did surprisingly well!
Preprint: arxiv.org/abs/2510.08043 🧪
#LLM #Climate
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
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
We posted a preprint on arXiv about PANGAEA-GPT, a multi-agent system for autonomous data discovery and analysis in geoscientific archives. Plots below are generated by the system, and you can read about the steps system made in the paper. 🧪
📄 arxiv.org/abs/2602.21351
💻 github.com/CliDyn/panga...
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...
The EERIE Project aims to expand our understanding of the role of ocean eddies – an integral part of the ocean’s weather – in the Earth’s climate system in a warming world. In order to achieve this, w...
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...
💼 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...
