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Nikolay Koldunov

@oceanographer.bsky.social

740 followers 900 following 80 posts

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/

koldunovn.github.io

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Nikolay Koldunov @oceanographer.bsky.social · Nov 23

"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

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Nikolay Koldunov @oceanographer.bsky.social · Jun 23

Access is currently restricted to EU institutes. You can follow instructions and examples here to access the data: github.com/digital-eart...

hk25-teams/hk25-DestinE at main · digital-earths-global-hackathon/hk25-teams

Analysis scripts for the global hackathon. Contribute to digital-earths-global-hackathon/hk25-teams development by creating an account on GitHub.

github.com

Nikolay Koldunov @oceanographer.bsky.social · Jun 23

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

www.youtube.com

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Nikolay Koldunov @oceanographer.bsky.social · Apr 4

New opportunity in our group!

EERIE Project @eerie-project.eu · Apr 4

💼 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...

Nikolay Koldunov @oceanographer.bsky.social · Mar 11

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

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Nikolay Koldunov @oceanographer.bsky.social · Feb 27

🚨 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

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Nikolay Koldunov @oceanographer.bsky.social · Feb 26

Wow! :)

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Reposted by Nikolay Koldunov

ECMWF @ecmwf.int · Feb 25

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

Background of world map with grid overlaid. Text: "AIFS operational"

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Nikolay Koldunov @oceanographer.bsky.social · Feb 26

What is the resolution? :)

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Nikolay Koldunov @oceanographer.bsky.social · Feb 24

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 · Feb 24

🌍🌐 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...

Nikolay Koldunov @oceanographer.bsky.social · Feb 19

Alfred Wegener institute is finally here @awiexpedition.bsky.social !!!

Nikolay Koldunov @oceanographer.bsky.social · Feb 19

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

This image is a global visualization of aerosol distributions on September 5, 2020, at 00:00 UTC. It represents different types of aerosols using a color-coded scheme:
• Red represents dust (du), primarily visible over arid regions like the Sahara Desert and extending into the Atlantic.
• Blue indicates sea salt (ss), prominent over the oceans, particularly in stormy regions.
• Green signifies carbonaceous aerosol (ca), which is associated with biomass burning and pollution, visible over regions like the Amazon, Central Africa, and parts of Southeast Asia.
• Yellow shows sulfuric aerosol (su), often linked to volcanic emissions and industrial activity.

The image is overlaid on a world map with latitude and longitude markers. The transparency of the colors varies to indicate concentration levels, with fully transparent areas representing minimal aerosol presence and fully opaque areas representing maximum concentrations. The right-hand legend provides a scale for interpreting the aerosol concentrations in milligrams per square meter.

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Reposted by Nikolay Koldunov

Thomas Rackow 🧊 @trackow.bsky.social · Feb 11

@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/...

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Nikolay Koldunov @oceanographer.bsky.social · Feb 9

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!

Nikolay Koldunov @oceanographer.bsky.social · Feb 7

Yes this time is very warm and practically without snow. But I was happy to see at least some sea ice from the fairy to Suomenlinna :)

Nikolay Koldunov @oceanographer.bsky.social · Feb 7

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.

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Nikolay Koldunov @oceanographer.bsky.social · Feb 4

🚨 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

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Nikolay Koldunov @oceanographer.bsky.social · Jan 13

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 · Jan 10

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)

Multi-year simulations at kilometre scale with the Integrated Forecasting System coupled to FESOM2.5 and NEMOv3.4

Abstract. We report on the first multi-year kilometre-scale global coupled simulations using ECMWF's Integrated Forecasting System (IFS) coupled to both the NEMO and FESOM ocean–sea ice models, as par...

doi.org

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Nikolay Koldunov @oceanographer.bsky.social · Jan 10

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. 🧪🌊

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Nikolay Koldunov @oceanographer.bsky.social · Jan 6

Great thread from @jhauck.bsky.social with more details on this study 🧪

Judith Hauck @jhauck.bsky.social · Jan 6

Massive 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...

Climate change and terrigenous inputs decrease the efficiency of the future Arctic Ocean’s biological carbon pump - Nature Climate Change

Changes in the Arctic could impact the oceanic carbon sequestration of the region. Here the authors consider regional biogeochemistry, including coastal erosion and river inputs, to show a 40% reducti...

doi.org

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Nikolay Koldunov @oceanographer.bsky.social · Jan 6

🧪

Lars Kaleschke @seaice.de · Jan 6

Sea ice paper alert, congratulations to my colleagues!

Krumpen, T., von Albedyll, L., Bünger, H.J. et al. Smoother sea ice with fewer pressure ridges in a more dynamic Arctic. Nat. Clim. Chang. (2025). doi.org/10.1038/s415...

#Arctic #climate 🌊 🥼❄️
rdcu.be/d5rtv

Smoother sea ice with fewer pressure ridges in a more dynamic Arctic

Nature Climate Change - Pressure ridges, a characteristic feature of Arctic sea ice, play an important role in the ecosystem but pose challenges to shipping. Here the authors use aircraft...

rdcu.be

Nikolay Koldunov @oceanographer.bsky.social · Jan 6

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/...

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Reposted by Nikolay Koldunov

Ryan Abernathey @rabernat.bsky.social · Dec 14

My book is still out there! Please use, adapt, and help maintain if you find it helpful for teaching!

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Nikolay Koldunov @oceanographer.bsky.social · Dec 14

Goodbye Washington, it was fun! #AGU24

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Reposted by Nikolay Koldunov

micheltsamados.bsky.social @micheltsamados.bsky.social · Dec 13

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...

www.trees-dla.ac.uk

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Reposted by Nikolay Koldunov

Vasco Müller @oceanisfun.bsky.social · Dec 10

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

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