AI4PEX
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ai4pex.bsky.social
AI4PEX
@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
🎤 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
November 7, 2025 at 5:00 PM
📢 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
November 4, 2025 at 2:03 PM
💡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
October 31, 2025 at 11:02 AM
☁️ 🌍 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 👉
EUMETSAT - User Portal
EUMETSAT User Portal
buff.ly
October 28, 2025 at 2:31 PM
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
Lecture sparked curiosity and engagement in climate research
SMHI's climate research unit invited participants to Research Friday 2025 (that is part of the European Researchers' Night) in Norrköping and online. Students, teachers, and interested parties had…
buff.ly
October 21, 2025 at 1:15 PM
🌍 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
October 14, 2025 at 10:02 AM
💡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
October 7, 2025 at 2:00 PM
Reposted by AI4PEX
🆕 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
What's a Storyline? (Three different approaches)
YouTube video by EERIE Project
youtu.be
September 23, 2025 at 10:25 AM
Reposted by AI4PEX
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
September 30, 2025 at 11:27 AM
Reposted by AI4PEX
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...
Bringing Climate Models to Everyone
How AI is making complex data understandable
bjerknes.uib.no
September 30, 2025 at 11:14 AM
Reposted by AI4PEX
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
September 26, 2025 at 12:07 PM
🌱 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
September 30, 2025 at 10:02 AM
🇪🇺 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
September 23, 2025 at 10:02 AM
🌍🌊 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
September 16, 2025 at 10:01 AM
🇬🇧🌊 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
September 9, 2025 at 10:01 AM
🌍🌐 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.
September 2, 2025 at 10:01 AM
🌍 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
August 26, 2025 at 10:01 AM
💡 New paper!
Climate extremes are impacting forests across Europe. Drought–heat compound events diminish resilience and prolong recovery times, with temperate and boreal forests lacking adaptations leading to physiological damage that increasing sensitivity.

👉 Find out more: buff.ly/w6ChLXa
August 19, 2025 at 10:01 AM
💡 New paper!
Droughts are complex hydrometeorological phenomena driven by large-scale land–atmosphere feedbacks. Using a new parametric calibration algorithm improves Deep Learning framework reliability in drought detection as showcased on European drought events.

👉 Find out more: buff.ly/llm8RRK
August 13, 2025 at 1:30 PM
💡 New paper!
Find out how recent significant improvements of #ESMValTool allows a more effective evaluation of complex #ESMs and high-resolution models while needing less computational resources.

👉 Join the discussion: buff.ly/CyycyeP
July 15, 2025 at 2:19 PM
🚀 First GA for #AI4PEX in Lund!
Last month partners from across Europe met to advance #EarthSystemModels with #AI, #ML & #EarthObservation - tackling ✨ Benchmarking 🛠 Syncing milestones 🌍 Boosting outreach 🤝 Hands-on collaboration.

Big thanks to Lund University for hosting!
👉 www.ai4pex.org
July 10, 2025 at 12:30 PM
🚀 Excited to share our team’s contributions at the ESA Living Planet Symposium next week in Vienna! Catch us across multiple sessions on carbon fluxes, EO data consistency, AI for climate science & more.

#LPS25 🌍🛰️ #EarthObservation #EarthSystemModeling #CINEA
June 18, 2025 at 2:38 PM
Fourth and last day of our #AI4PEX GA is again reserved for workshops. Moderated by Fangfei Lan from UNIL we spend the morning focusing on Neural Operator Learning. In the afternoon, we build our own hybrid model using the SINDBAD modeling framework, led by Nuno Carvalhais from MPG-BGC.

#CINEA
June 5, 2025 at 3:42 PM
AI4PEX GA Day 3 we are mainly focusing on the technical and methodological aspects: How to improve our benchmarking? And what can explainable AI do to improve our parametrizations? Highlight was the keynote by Dave Lawrence from UCAR on how #ArtificialIntelligence is entering the #ESMs development.
June 4, 2025 at 5:36 PM
#AI4PEX GA Day 2: starting with in-depth scientific talks and posters on our main achievements so far, before discussing in more detail next steps for the atmosphere, ocean and land teams.
In the evening we went to Kulturen Open Air Museum, immersing in the history of the region.

#CINEA #HorizonEU
June 3, 2025 at 9:29 PM