https://ai4pex.org
📅 March 16 – 20 2026
📍 Venue, NTUA, Athens, Greece
🔗 More info and registration: buff.ly/kNH2f5B
#AIWinterSchool2026 #MeDiTwin #CINEA #ClimateResearchNet #earlycareer #PhD
📅 March 16 – 20 2026
📍 Venue, NTUA, Athens, Greece
🔗 More info and registration: buff.ly/kNH2f5B
#AIWinterSchool2026 #MeDiTwin #CINEA #ClimateResearchNet #earlycareer #PhD
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.”
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.”
🌟Ramón Fuentes Franco, SMHI
🌟Hongmei Li, Hereon
🌟Gustau Camps-Valls, Valencia University
🌟Zisoula Ntasiou, Hellenic Fire Corps
👉 Find out more: buff.ly/kNH2f5B
🌟Ramón Fuentes Franco, SMHI
🌟Hongmei Li, Hereon
🌟Gustau Camps-Valls, Valencia University
🌟Zisoula Ntasiou, Hellenic Fire Corps
👉 Find out more: buff.ly/kNH2f5B
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
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
📍 NTUA Athens | 📅 March 16–20 2026
A week where AI meets climate science. Stay tuned!
#MeDiTwin #AI4PEX #AIWinterSchool2026
📍 NTUA Athens | 📅 March 16–20 2026
A week where AI meets climate science. Stay tuned!
#MeDiTwin #AI4PEX #AIWinterSchool2026
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 👉
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 👉
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
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
👉 Stay tuned for exciting updates!
#ClimateScience #Innovation #ESM
👉 Stay tuned for exciting updates!
#ClimateScience #Innovation #ESM
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
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
💡 #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
💡 #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
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
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
- 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...
- 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...
👨🔬Coordinator: Nuno Carvalhais (@bgc-jena.mpg.de) 🔗 ai4pex.org
👨🔬Coordinator: Nuno Carvalhais (@bgc-jena.mpg.de) 🔗 ai4pex.org
Our updates: enhance ORCHIDEE land processes & develop LMDZ-ORC coupling for sharper climate–carbon feedbacks.
#ClimateModel #IPSLCM #ORCHIDEE #ESM
Our updates: enhance ORCHIDEE land processes & develop LMDZ-ORC coupling for sharper climate–carbon feedbacks.
#ClimateModel #IPSLCM #ORCHIDEE #ESM
We’re upgrading LPJ-GUESS land processes and vegetation dynamics to better capture ecosystem–climate feedbacks.
#ECEarth #ESM #ClimateModeling #ClimateScience #LPJGUESS
We’re upgrading LPJ-GUESS land processes and vegetation dynamics to better capture ecosystem–climate feedbacks.
#ECEarth #ESM #ClimateModeling #ClimateScience #LPJGUESS
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
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
What we do: upgrade ocean processes in HadGEM & NEMO, enhance JULES land surface, & improve climate–carbon feedbacks.
#UKESM #ClimateModeling #ClimateScience
What we do: upgrade ocean processes in HadGEM & NEMO, enhance JULES land surface, & improve climate–carbon feedbacks.
#UKESM #ClimateModeling #ClimateScience
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.
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.
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
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
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
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
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
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
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
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
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
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
#LPS25 🌍🛰️ #EarthObservation #EarthSystemModeling #CINEA
#LPS25 🌍🛰️ #EarthObservation #EarthSystemModeling #CINEA
#CINEA