AI4PEX
@AI4PEX
Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models (funded by #HorizonEU)
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 📍 ai4pex.org/Training/Schoo…
📣 Exciting update — registration OPEN for the Joint Winter School “AI for Earth System, Hazards & Climate Extremes”! 📅 March 16 – 20 2026 📍 Venue, NTUA, Athens, Greece 🔗 More Info & Registration: ai4pex.org/Training/Schoo… #AIWinterSchool2026 #MeDiTwin #CINEA_EU #ECR #PhD
🎉 Congratulations! Nuno, Martin, Jake, and Sujan from @MPI_BGC 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."
🎤 Meet our speakers at the Joint Winter School “AI for Earth System, Hazards and Climate Extremes”! 🌟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 👉 meetingorganizer.copernicus.org/EGU26/session/… convened by Thomas Wilder, Anna Sommer, @SaidOuala & Adam Blaker. Abstract Deadline: 15 Jan 2025, 13:00 CET
💡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. 👉user.eumetsat.int/resources/case…
🌱IPSL-CM: Paris-built climate–biosphere integration links LMDZ atmosphere, ORCHIDEE land, NEMO ocean, and PISCES biogeochemistry. Our updates: enhance ORCHIDEE land processes & couple it to LMDZ for sharper climate–carbon feedbacks. #ClimateModel #IPSLCM #ORCHIDEE #ESM
Amazing time at Researchers’ Night at SMHI 🎉 It was inspiring to see such strong interest from enthusiastic people who stopped by to learn about #AI4PEX modeling, AI, data and clouds☁️🌊🌿 Great collaboration with @optimESM_eu, TipESM & Climateurope2💡 buff.ly/0ysJ0EC
🇪🇺 EC-EARTH: a European community climate model coupling ECMWF’s IFS atmosphere, NEMO ocean & LPJ-GUESS vegetation. We’re upgrading #LPJGUESS land processes and vegetation dynamics to better capture ecosystem –climate feedbacks. #ECEarth #ESM #ClimateModeling #ClimateScience
🌍🌊 CNRM-ESM: coupling climate physics & ocean biogeochemistry. Built by Météo-France, it couples atmospheric dynamics to NEMO–PISCESv2 ocean 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
Traditional #ClimateModels have long relied on physics. What happens when statistics steps in? Vincent Verjans (@BSC_CNS) is testing how statistical techniques can complement predictions from climate models. 📊🌦️ Read more: expect-project.eu/news/hindcasti… #EXPECTproject #HorizonEU
Project Spotlight #6: ELLIS Unit Jena @AI4PEX 🌍 AI+Earth observations to advance climate science ⚡Better process representation 🌱Future climate extremes & risks 🛠️Fast, transferable tools for resilience 👨🔬Coordinator: Nuno Carvalhais (@MPI_BGC) 🔗ai4pex.org
🌍 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 for more realistic vegetation dynamics.
🌍 New series: 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
💡New paper! Droughts are complex hydrometeorological phenomena driven by large-scale land–atmosphere feedbacks. Using a new parametric calibration improves Deep Learning reliability in drought detection. 👉 Learn more: sciencedirect.com/science/articl… #ESM #ClimateResearch
💡 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. 👉 Learn more: gmd.copernicus.org/articles/18/40…
🌍 What are CESUs? A week of hands-on climate education for teachers across Europe— hosted by @meteofrance with @OfficeClimate in 2022 & 2024. Now, discover what these educators did next — projects from 🇫🇷🇮🇹🇷🇴 and more coming up! 🔗 bit.ly/esm2025_cesus #ESM2025Education
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