Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models (funded by #HorizonEU)
Joined March 2023
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98 Photos and videos
🎓 Next up in the #AI4PEX Science Talks!
🌍 Hadi Shokati
AI for soil erosion, flood segmentation & rainfall erosivity forecasting
🧠 René Geist
SoftJAX & SoftTorch: differentiable programming for scientific ML
📅 25.06.2026, 13:00 CEST
👉 Register now! survey.academiccloud.de/f/66…
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🎥 Looking back at the ELLIS Winter School 2026 in Athens!
A week full of AI, climate science, hands-on projects, & inspiring discussions. 🌍🤖
Watch the full highlight video: ai4pex.org/blog/Winterschool…
Special thanks to Olyvon for producing this video.
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💡 New Paper!
🌡️ How much of recent summer warming is circulation-driven?
Our new study shows that atmospheric circulation trends explain up to 50% of Europe’s summer warming — with strong but contrasting effects across the northern mid-latitudes.
👉wcd.copernicus.org/articles/…
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💡 New Paper on global plant functional diversity 🌍🌿
Using remote sensing, biodiversity & trait databases, we map key plant traits worldwide at 1-km resolution — offering new insights into ecosystem functioning, biodiversity & resilience. 🛰️🌱
👉 nature.com/articles/s41467-0…
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💡 New Paper on physics-aware AI for #EarthObservation 🌍🤖
By combining physical models with symbolic regression & sparse ML, this work moves toward more interpretable and trustworthy emulators for atmospheric radiative transfer.
👉doi.org/10.1109/TGRS.2026.36…
#ExplainableAI
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🎤 #EGU26 Spotlight
AI must go beyond prediction 🌍
Gustau Camps-Valls on AI for climate resilience — from explainable AI to early warning systems & causal models.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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🎤 #EGU26 Spotlight
Climate extremes don’t always happen alone 🌡️
Sonia Seneviratne on compound events — rising risks, near-permanent extremes, and limits to adaptation. How multiple climate extremes interact & amplify impacts.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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🎤 #EGU26 Spotlight
How do soil moisture & temperature drive extremes? 🌍
Feini Huang combines causal AI ML to disentangle land–atmosphere feedbacks — and benchmark climate models.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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🎤 #EGU26 Spotlight
Are AI climate models really more efficient? 🤖🌍
Tom Beucler compares AI, hybrid & GPU-based models — and finds the advantage isn’t always clear-cut.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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🎤 #EGU26 Spotlight
Some regions are “behind” or “ahead” in warming 🌡️
Dominik Schumacher shows: areas lagging today may see faster rises in extreme heat soon.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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🎤 #EGU26 Spotlight
Fires, beetles… or management? 🌱
Thomas Pugh shows that harvest decisions may shape Europe’s forests more than disturbances.
🔗 meetingorganizer.copernicus.…
#AI4PEX
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3 days, 9 models, 1 goal: benchmarking mortality in #EarthSystemModels 🌍
From data & model overviews to hands-on coding sessions, we worked toward a shared framework, common metrics, and first results for a joint paper.
Great collaboration across teams & time zones! 🚀
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Final day at the ELLIS Winter School on “AI for Earth System, Hazards & Climate Extremes.” 🎉
Group challenge presentations, keynote reflections and well-deserved awards marked the conclusion of an intense week of collaboration and learning.
Thanks to everyone who made it happen!
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