@ai4pex.bsky.social
We are a consortium of 19 institutions from all over Europe involved in the Horizon Europe funded project: Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models. https://ai4pex.org
💡 New Paper!
Deep learning can predict runoff — but uncertainty matters.
This study shows that engression + LSTM delivers:
✅ Better uncertainty estimates
✅ Realistic time-series simulations
✅ Stronger performance
for trustworthy environmental forecasts.
👉 Learn more: buff.ly/NYL9dRP
💡 New Paper!
New hybrid approach for cloud parameterizations in climate models 🌍☁️
Physically consistent ML + practical tuning improves ICON cloud biases by ⬇️ 75% (Southern Ocean) ⬇️ 44% (subtropical stratocumulus)
Interpretable, stable — and robust under +4 K warming.
👉 Learn more: buff.ly/Is6KPrJ
#AI4PEX postdoc position available at @unituebingen.bsky.social developing #MachineLearning approaches to improve #EarthSystemModels!
👉Join our team: buff.ly/stIFCpw
#Postdoc #ClimateResearch #ResearchOpportunity
📢 Last Call for Abstracts #EGU26 !
🌊 Join us and submit your abstract to our session OS1.5: Machine Learning and Ocean Modelling for the Earth System
👉 buff.ly/JJQBYzj [https://buff.ly/JJQBYzj]
convened by Thomas Wilder, Anna Sommer, Said Ouala & Adam Blaker.
‼️ Abstract Deadline: 15 Jan 2026
🙏 Thank you for the overwhelming interest in the Winter School!
Following our recent ELLIS endorsement, together with support from ELLIOT & ELIAS, (and a blip in the EU Survey server 🙃) we’re extending the application deadline!
📅 New deadline: 2 January 2026
buff.ly/uH1iKGM
#AI4EarthSystem
🧩 Meet some of the exceptional challenges tutors guiding the problem-solving sessions of the Joint Winter School “AI for Earth System, Hazards & Climate Extremes” from the National Technical University of Athens (NTUA) and Max Planck Institute for Biogeochemistry @bgc-jena.mpg.de.
🌐 buff.ly/HZcLiTM
⏳ Counting down to the #AI4EO Winter School — March 16–20 2026, Athens 🇬🇷
AI, climate extremes & collaboration ahead. One week left to register! 👉 buff.ly/HZcLiTM
#AIWinterSchool2026 #AI4PEX #MeDiTwin #ClimateAction #Networking #CINEA
🎉 Tuesday is social day at the Joint Winter School!
We’ll explore Ancient Lavrion — a UNESCO Tentative World Heritage Site — and end the day with 🔭 Stargazing, 🎶 Greek music and food, and relaxed networking. A perfect mix of science, culture, and connection. 🌙
🔍 More on Lavrion: buff.ly/060qqn0
🧠 Meet the Zero To Hero tutors behind the AI Winter School!
Experts in #AI, #EO & climate analytics guiding hands-on sessions.
📅 March 16–20, 2026, NTUA Athens Campus, Greece
🔗 Registration now open - buff.ly/HZcLiTM
#AIWinterSchool2026 #AI4PEX #MeDiTwin #Mentorship #CapacityBuilding
Winterschool “AI for Earth System, Hazards & Climate Extremes” UPDATE!
Venue will be two iconic NTUA locations in Athens
🌇historic Patission complex, a neoclassical heritage with modern academic life
🌅 excursion to Ancient Lavrion, an archaeological site
🔗 buff.ly/dOFMhWy
Joint Winter School “AI for Earth System, Hazards & Climate Extremes”
🚀 Explore how AI is transforming Earth system science across key environmental and societal sectors: 🌍 Climate 🌦️ Weather 🌱 Land 🌊 Ocean 🌐 Atmosphere 🔥 Extremes 🧩 Social Systems
🛠 Stay tuned!
📍 buff.ly/dOFMhWy
📣 Exciting update — registration is OPEN for Joint Winter School “AI for Earth System, Hazards & Climate Extremes”!
📅 March 16 – 20 2026
📍 Venue, NTUA, Athens, Greece
🔗 More info and registration: buff.ly/kNH2f5B
#AIWinterSchool2026 #MeDiTwin #CINEA #ClimateResearchNet #earlycareer #PhD
🎉 Congratulations!
Nuno, Martin, Jake, and Sujan from @bgc-jena.mpg.de were awarded the Thuringian Research Prize for their groundbreaking work on ““Global interactions of carbon and water cycles of ecosystems under climate change, using #ML and #AI to quantify fluxes, stocks, and turnover times.”
🎤 Meet our inspirational keynote speakers at the Joint Winter School “AI for Earth System, Hazards and Climate Extremes” in March 2026!
🌟Ramón Fuentes Franco, SMHI
🌟Hongmei Li, Hereon
🌟Gustau Camps-Valls, Valencia University
🌟Zisoula Ntasiou, Hellenic Fire Corps
👉 Find out more: buff.ly/kNH2f5B
📢 Call for Abstracts #EGU26 🌊
Consider submitting your abstract to session OS1.5: Machine Learning and Ocean Modelling for the Earth System
👉 buff.ly/JJQBYzj
convened by @twilder.bsky.social, Anna Sommer, Said Ouala & Adam Blaker.
Abstract Deadline: 15 Jan 2025, 13:00 CET
#ESM #ML #AI #CINEA
💡We’re thrilled to announce the Joint Winter School “AI for Earth Hazards & Climate Extremes”!
📍 NTUA Athens | 📅 March 16–20 2026
A week where AI meets climate science. Stay tuned!
#MeDiTwin #AI4PEX #AIWinterSchool2026
☁️ 🌍 Cloud alert!
Warming oceans = fewer marine stratocumulus clouds → less sunlight reflected → more warming. Spotlighted in a new #EUMETSAT case study.
These subtle clouds play a huge role in our climate system — but they’re tricky to model.
Check out the full case study here 👉
Amazing time at Researchers’ Night at SMHI 🎉
It was inspiring to see such strong interest from enthusiastic people to learn about modeling, AI, data and clouds☁️🌊🌿
Great collaboration with @optimesm-eu.bsky.social, @tipesm.bsky.social & Climateurope2💡
buff.ly/0ysJ0EC
#ClimateResearch #ESM
🌍 Earth system models have come a long way. #AI4PEX improves cloud formation, ocean-atmosphere interactions, and biological processes in the carbon cycle to get a better grip on what the future holds and guide policy decisions.
👉 Stay tuned for exciting updates!
#ClimateScience #Innovation #ESM
💡New paper!
Ocean models often struggle to simulate accurate #SouthernOcean circulation, resulting in unrealistic warm conditions. Check out how Leith viscosity parameterisations in NEMO improves the Antarctic circumpolar circulation to model more realistic #oceantemperatures.
👉 buff.ly/HWCbk71
🆕 A quick guide to an elusive concept!
💡 #Storylines can help #climate scientists better convey a message and help average people understand the challenges they may face in the future due to #ClimateChange.
▶️ What's a Storyline? (Three different approaches): youtu.be/E0SzovQjQOc
Traditional #ClimateModels have long relied on physics. What happens when statistics steps in?
Vincent Verjans (@bsc-cns.bsky.social) is testing how statistical techniques can complement predictions from climate models. 📊🌦️
Read more: expect-project.eu/news/hindcas...
#EXPECTproject #HorizonEU
Climate models can be a challenge to understand, but a new app from the NorCPM-team is using AI to make complex data understandable.
- The idea is that anyone could use it, says Eurico Noleto-Filho, a postdoc with the University of Bergen and the Bjerknes Center. 🧪
bjerknes.uib.no/en/news/brin...
Project Spotlight #6: ELLIS Unit Jena @ai4pex.bsky.social
🌍 AI+Earth observations to advance climate science
⚡Better process representation
🌱Future climate extremes & risks
🛠️Fast, transferable tools for resilience
👨🔬Coordinator: Nuno Carvalhais (@bgc-jena.mpg.de)
🔗 ai4pex.org
🌱 IPSL-CM: Paris-built climate–biosphere integration links LMDZ atmosphere, ORCHIDEE land, NEMO ocean, and PISCES biogeochemistry.
Our updates: enhance ORCHIDEE land processes & develop LMDZ-ORC coupling for sharper climate–carbon feedbacks.
#ClimateModel #IPSLCM #ORCHIDEE #ESM
🇪🇺 EC-EARTH: a European community climate model coupling ECMWF’s IFS atmosphere, NEMO ocean & LPJ-GUESS vegetation.
We’re upgrading LPJ-GUESS land processes and vegetation dynamics to better capture ecosystem–climate feedbacks.
#ECEarth #ESM #ClimateModeling #ClimateScience #LPJGUESS
🌍🌊 CNRM-ESM: coupling climate physics & ocean biogeochemistry.
Built by Météo-France/CNRM, it couples atmospheric dynamics (CNRM-CM) to NEMO–PISCESv2 ocean module capturing nutrient-plankton-carbon cycles.
Our updates: boost atm. physics, ocean dynamics & carbon–nutrient cycles.
#ClimateModeling
🇬🇧🌊 UKESM: The UK’s flagship #ESM linking atmosphere, ocean, land & ice with interactive carbon & chemistry cycles.
What we do: upgrade ocean processes in HadGEM & NEMO, enhance JULES land surface, & improve climate–carbon feedbacks.
#UKESM #ClimateModeling #ClimateScience
🌍🌐 ICON-ESM: Climate modeling on a whole new grid
The first fully coupled #ESM on an icosahedral grid — no pole problem, uniform global resolution & ready for ML-powered #ClimateScience.
What we do: add ML parameterisations & improve JSBACH land processes for more realistic vegetation dynamics.
🌍 Meet the #EarthSystemModels powering our project!
Over the next weeks we’ll share 5 unique #ESMs — what makes them special, the science they enable, & how we’ll advance them.
🚀 ICON-ESM, UKESM, EC-EARTH, CNRM-ESM, IPSL-CM.
#ClimateModeling #AI4Climate
