Nikolay Koldunov
@oceanographer.bsky.social
Oceanographer, climate and ocean modeler, interested in ML for climate and LLMs. Senior scientist at AWI. Working on FESOM2 unstructured ocean model, km-scale climate modelling, data visualisation. More info: https://koldunovn.github.io/
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...
Nonsense - Album by Goinsane | Spotify
Goinsane · album · 2026 · 12 songs
open.spotify.com
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
🔴 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/
Public Lecture: New Perspectives on Climate Change from km-scale Earth System Models
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...
events.hifis.net
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...
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
🌍 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 🧪
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
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...
From Past to Future - The Central European Floods, 2024 in a Changing Climate.” – Storm Boris
YouTube video by ECMWF
youtube.com
New opportunity in our group!
EERIE Project@eerie-project.eu · last yr.💼 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
We have taken our Artificial Intelligence Forecasting System (AIFS) into operations today to run side by side with our physics-based weather forecasts. The #AIFS outperforms traditional models for many measures, at a fraction of energy use. ➡️ www.ecmwf.int/en/about/med... #AI #MachineLearning
One of the greatest things we do in #DestinE is high-resolution storylines, which show how present-day extreme events might unfold in the future. Check out this ECMWF blog post for details on how it’s done! 🧪
ECMWF@ecmwf.int · last yr.🌍🌐 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...
Alfred Wegener institute is finally here @awiexpedition.bsky.social !!!
Preprint summarizing the first results from the nextGEMS project, which prepares several coupled models to run at kilometer scale: egusphere.copernicus.org/preprints/20... 🧪
@carbonbrief.org lists our December paper among the most featured 2024 papers, current score 2,644 - top of the charts for @altmetric.com mentions on @bsky.app 🤯 📈 www.carbonbrief.org/analysis-the... 🔓A free-access reprint link to our paper can be found on Helges website www.awi.de/en/about-us/...
Analysis: The climate papers most featured in the media in 2024 - Carbon Brief
Thousands of peer-reviewed journal articles were published over 2024, helping shape online discourse around climate change.
carbonbrief.org
Thomas Rackow 🧊@trackow.bsky.social · 2y agoWe 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)
My wife just won the Bremen Women's Chess Championship 2025 and qualified for the German National Championship! Next stop: Munich! So proud of her!
It's always great to visit Helsinki-one of my favorite cities in the world. This time, I caught a glimpse of sea ice, which we’ll be modeling in the @terradt.bsky.social project (by the way, we're hiring!). The project kicked off in Helsinki this week.
🚨 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
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 agoOur 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 IBCAO (International Bathymetric Chart of the Arctic Ocean) version is out: doi.org/10.1038/s415... Many of us who study the Arctic now need to update our Arctic Bathymetry posters on our walls! :) Figure below shows a comparison of versions 4 and 5. 🧪🌊
Great thread from @jhauck.bsky.social with more details on this study 🧪
Judith Hauck@jhauck.bsky.social · 2y agoMassive piece of work by Laurent Oziel and many #AWI colleagues, conducted within the #COMFORT project: Laurent conducted future 🌊 Arctic Ocean high-resolution simulations that account for climate change AND carbon & nutrient inputs from rivers & coastal erosion. ⬇️ doi.org/10.1038/s415...
Increased sunlight and more nutrients in the Arctic Ocean won’t boost carbon storage as expected :( 🌊🧪 #FESOM Article in Nature Climate Change: www.nature.com/articles/s41... Press release from AWI: www.awi.de/en/about-us/...
My book is still out there! Please use, adapt, and help maintain if you find it helpful for teaching!
Join me and the polar team here in UCL Earth Sciences + Met Office on an exciting CASE studentship looking at Leveraging Machine Learning algorithms for improved Arctic sea-ice prediction using the Met Office suite of models ❄️ + 💻 +🛰️ www.trees-dla.ac.uk/projects/lev...
Leveraging Machine Learning algorithms for improved Arctic sea-ice prediction using the Met Office suite of models | UCL Trees
This project leverages advanced satellite remote sensing and machine learning (ML) to improve Arctic sea-ice forecasting. Traditional sea-ice models often develop significant biases in summer, particu...
trees-dla.ac.uk
Exploring the Arctic Ocean? Planning to attend EGU25? Submit an abstract to our session:"Changes in the Arctic Ocean, Sea Ice, and Subarctic Sea Systems: Observations, Models, and Perspectives" (t.ly/BvM9l) Spread the word, and you see in Vienna for exciting talks, posters and discussions!
Session OS1.1
t.ly
The Globe in the Smithsonian Museum of Natural History is pretty good, but why the jet colourbar for SST? :)
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)
Recent global temperature surge amplified by record-low planetary albedo
In 2023, the global mean temperature soared to 1.48K above the pre-industrial l...
agu.confex.com
Thomas Rackow 🧊@trackow.bsky.social · 2y agoWe 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)
