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Thomas Jung

@thomasjung.bsky.social
246 followers 41 following 8 posts

Head of Climate Dynamics and Vice-Director at AWI | Professor for Physics of the Climate System at University of Bremen | Interested in: Climate physics, climate change, kilometre-scale modelling, storylines, climate AI

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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 11/06/2026
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
arxiv.org
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...
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Thomas Jung @thomasjung.bsky.social · 13/05/2026
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.
doi.org
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
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 26/02/2026
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
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 23/11/2024
"Introduction to Physical Oceanography" by R. Stewart is now on GitHub. Free for everyone as it always was. github.com/introocean/i...
github.com
GitHub - introocean/introocean-en: Introduction to Physical Oceanography by R. Stewart
Introduction to Physical Oceanography by R. Stewart - introocean/introocean-en
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Thomas Jung @thomasjung.bsky.social · 18/12/2025
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...
journals.ametsoc.org
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Reposted by Thomas Jung
EERIE Project @eerie-project.eu · 17/12/2025
'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
eerie-project.eu
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
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Reposted by Thomas Jung
EERIE Project @eerie-project.eu · 28/04/2025
🌐 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...
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Reposted by Thomas Jung
EERIE Project @eerie-project.eu · 04/04/2025
💼 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...
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 11/03/2025
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
arxiv.org
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...
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 27/02/2025
🚨 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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Reposted by Thomas Jung
ECMWF @ecmwf.int · 24/02/2025
🌍🌐 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...
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 19/02/2025
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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Thomas Jung @thomasjung.bsky.social · 12/02/2025
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...
journals.ametsoc.org
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 04/02/2025
🚨 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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Reposted by Thomas Jung
EERIE Project @eerie-project.eu · 24/01/2025
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...
youtube.com
#EERIE25 General Assembly summary
YouTube video by EERIE Project
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 13/01/2025
This is the description of our km-scale coupled climate model configuration. A lot of details in a thread from @trackow.bsky.social 🧪
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Thomas Jung @thomasjung.bsky.social · 18/12/2024
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...
destine.ecmwf.int
Climate Change Adaptation Digital Twin
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Reposted by Thomas Jung
EERIE Project @eerie-project.eu · 16/12/2024
Starting in 90 mins!👇 Info + link: eerie-project.eu/event/storms... #ClimateResearchNet
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Reposted by Thomas Jung
Thomas Rackow 🧊 @trackow.bsky.social · 10/12/2024
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)
agu.confex.com
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...
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Thomas Jung @thomasjung.bsky.social · 10/12/2024
Looking forward to present our recent storyline work on extreme hydological events in fall 2024
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 05/12/2024
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
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Thomas Jung @thomasjung.bsky.social · 05/12/2024
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.
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Reposted by Thomas Jung
Thomas Rackow 🧊 @trackow.bsky.social · 02/12/2024
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)
destine.ecmwf.int
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.
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 23/11/2024
🚨 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...
nature.com
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.
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 25/11/2024
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...
The maximum 2m-temperature during the peak heatwave period (July 25, 2019) over France for the different storyline experiments (top panels: a, b, c). The bottom chart illustrates the hourly maximum 2m-temperature from the different experiments for the Paris region inside the black dotted box (48.5-49°N and 2.0-3.0°E). This comparison highlights the varying intensity of the heatwave across different climates.
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Reposted by Thomas Jung
Nikolay Koldunov @oceanographer.bsky.social · 29/11/2024
🌊 Ocean currents around Antarctica from our high-resolution (3 km) ocean model. 🧪 #FESOM #SciArt
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Thomas Jung @thomasjung.bsky.social · 29/11/2024
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...
doi.org
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...
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Reposted by Thomas Jung
Marylou Athanase @marylouathanase.bsky.social · 26/11/2024
Inaugural first #BlueSky post, re-sharing our latest paper! Still on the front page of Communications Earth & Environment 👇 doi.org/10.1038/s432...
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