💡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
📍 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
💡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
📍 NTUA Athens | 📅 March 16–20 2026
A week where AI meets climate science. Stay tuned!
#MeDiTwin #AI4PEX #AIWinterSchool2026
🌍 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
👉 Stay tuned for exciting updates!
#ClimateScience #Innovation #ESM
October 14, 2025 at 10:02 AM
🌍 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
👉 Stay tuned for exciting updates!
#ClimateScience #Innovation #ESM
How can AI help us better predict the future of our planet?
That was the central question when researchers from across Europe met in Lund for the 2nd consortium meeting of AI4PEX—a Horizon Europe project focused on improving Earth System Models using new AI methods: www.merge.lu.se/article/lund...
That was the central question when researchers from across Europe met in Lund for the 2nd consortium meeting of AI4PEX—a Horizon Europe project focused on improving Earth System Models using new AI methods: www.merge.lu.se/article/lund...
August 15, 2025 at 9:58 AM
How can AI help us better predict the future of our planet?
That was the central question when researchers from across Europe met in Lund for the 2nd consortium meeting of AI4PEX—a Horizon Europe project focused on improving Earth System Models using new AI methods: www.merge.lu.se/article/lund...
That was the central question when researchers from across Europe met in Lund for the 2nd consortium meeting of AI4PEX—a Horizon Europe project focused on improving Earth System Models using new AI methods: www.merge.lu.se/article/lund...
🚀 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
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
🚀 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
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
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
#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 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.
#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
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
#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
In the evening we went to Kulturen Open Air Museum, immersing in the history of the region.
#CINEA #HorizonEU
Today we're kicking off the 1st #AI4PEX General Assembly in Lund, Sweden, hosted by @lund-university.bsky.social. Within the next 4 days we will talk about achievements, discuss methods and plan research of next year, while getting closer, building trust and turning our team into a project family.
June 2, 2025 at 9:23 PM
Today we're kicking off the 1st #AI4PEX General Assembly in Lund, Sweden, hosted by @lund-university.bsky.social. Within the next 4 days we will talk about achievements, discuss methods and plan research of next year, while getting closer, building trust and turning our team into a project family.
AI4PEX @ #EGU: the past 2 days we heard a lot about Machine Learning applications and Climate Extremes by Ramon Fuentes Franco, Tom Beucler, Helena Reid, Svenja Seeber and Kai Cohrs.
May 1, 2025 at 4:16 PM
AI4PEX @ #EGU: the past 2 days we heard a lot about Machine Learning applications and Climate Extremes by Ramon Fuentes Franco, Tom Beucler, Helena Reid, Svenja Seeber and Kai Cohrs.
AI4PEX @ #EGU25
We started the week in Vienna with talks on heatwaves, wildfires and extreme evaporation by Dominik Schumacher, Lars Nieradzki & Yannis Markonis. On Day 2 we dived deeper into ocean modeling with Hongmei Li and model evaluation using the ESMValTool by Valeriu Predoi.
#CINEA #ESM
We started the week in Vienna with talks on heatwaves, wildfires and extreme evaporation by Dominik Schumacher, Lars Nieradzki & Yannis Markonis. On Day 2 we dived deeper into ocean modeling with Hongmei Li and model evaluation using the ESMValTool by Valeriu Predoi.
#CINEA #ESM
April 29, 2025 at 8:10 PM
@uni-hamburg.de is hiring a Postdoc for the #AI4PEX project focusing on biogeochemical impacts of ocean #ExtremeEvents with high-resolution #ESMs and #MachineLearning.
Start date: 01.04.2025 (3 years)
📅 Application deadline: 06.02.2025
👉 More info and application:
Start date: 01.04.2025 (3 years)
📅 Application deadline: 06.02.2025
👉 More info and application:
Research Associate for the Project “AI4PEX” Ocean carbon cycle for contribution to CMIP7 § 28 Subsection 3 HmbHG
buff.ly
January 10, 2025 at 7:59 AM
@uni-hamburg.de is hiring a Postdoc for the #AI4PEX project focusing on biogeochemical impacts of ocean #ExtremeEvents with high-resolution #ESMs and #MachineLearning.
Start date: 01.04.2025 (3 years)
📅 Application deadline: 06.02.2025
👉 More info and application:
Start date: 01.04.2025 (3 years)
📅 Application deadline: 06.02.2025
👉 More info and application:
#AI4PEX research focus 9: Coupling.
We will couple, tune and evaluate the new #ML -enhanced component models of the land, ocean and atmosphere to #ESMs as more realistic component models are the first step towards improved projections of the future #EarthSystem.
We will couple, tune and evaluate the new #ML -enhanced component models of the land, ocean and atmosphere to #ESMs as more realistic component models are the first step towards improved projections of the future #EarthSystem.
January 6, 2025 at 12:53 PM
#AI4PEX research focus 9: Coupling.
We will couple, tune and evaluate the new #ML -enhanced component models of the land, ocean and atmosphere to #ESMs as more realistic component models are the first step towards improved projections of the future #EarthSystem.
We will couple, tune and evaluate the new #ML -enhanced component models of the land, ocean and atmosphere to #ESMs as more realistic component models are the first step towards improved projections of the future #EarthSystem.
#AI4PEX research focus 8: Projections
AI4PEX aims to deliver improved #climateprojections of changes in the regimes of #ExtremeEvents and associated impacts from the next generation of #ESMs #ArtificialIntelligence -enhanced and grounded on #EarthObservations.
AI4PEX aims to deliver improved #climateprojections of changes in the regimes of #ExtremeEvents and associated impacts from the next generation of #ESMs #ArtificialIntelligence -enhanced and grounded on #EarthObservations.
January 2, 2025 at 8:55 AM
#AI4PEX research focus 8: Projections
AI4PEX aims to deliver improved #climateprojections of changes in the regimes of #ExtremeEvents and associated impacts from the next generation of #ESMs #ArtificialIntelligence -enhanced and grounded on #EarthObservations.
AI4PEX aims to deliver improved #climateprojections of changes in the regimes of #ExtremeEvents and associated impacts from the next generation of #ESMs #ArtificialIntelligence -enhanced and grounded on #EarthObservations.
#AI4PEX research focus 6: Uncertainty Quantification
To overcome limitations of traditional manual calibration methods, such as high computational costs and slow iterative processes, we improve uncertainty quantification by leveraging on Perturbed Parameter Ensemble.
#EarthSystemModels #Emulation
To overcome limitations of traditional manual calibration methods, such as high computational costs and slow iterative processes, we improve uncertainty quantification by leveraging on Perturbed Parameter Ensemble.
#EarthSystemModels #Emulation
January 1, 2025 at 2:00 PM
#AI4PEX research focus 6: Uncertainty Quantification
To overcome limitations of traditional manual calibration methods, such as high computational costs and slow iterative processes, we improve uncertainty quantification by leveraging on Perturbed Parameter Ensemble.
#EarthSystemModels #Emulation
To overcome limitations of traditional manual calibration methods, such as high computational costs and slow iterative processes, we improve uncertainty quantification by leveraging on Perturbed Parameter Ensemble.
#EarthSystemModels #Emulation
#AI4PEX research focus 5: Land
We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2; improve the vegetation response to water and heat stress, and the temperature sensitivity of decomposition in soils.
We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2; improve the vegetation response to water and heat stress, and the temperature sensitivity of decomposition in soils.
December 31, 2024 at 2:00 PM
#AI4PEX research focus 5: Land
We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2; improve the vegetation response to water and heat stress, and the temperature sensitivity of decomposition in soils.
We build #hybridmodels representing short-to-long-term responses of #TerrestrialEcosystems to changes in climate and atmospheric CO2; improve the vegetation response to water and heat stress, and the temperature sensitivity of decomposition in soils.
#AI4PEX research focus 3: Atmosphere
We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related processes that occur on scales smaller than the ESMs’ model grid.
We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related processes that occur on scales smaller than the ESMs’ model grid.
December 29, 2024 at 2:00 PM
#AI4PEX research focus 3: Atmosphere
We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related processes that occur on scales smaller than the ESMs’ model grid.
We will build new data-driven, yet physics-aware, ML-based #hybridmodels to better represent #CloudFeedbacks and related processes that occur on scales smaller than the ESMs’ model grid.
#AI4PEX research focus 2: Model Development
To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.
To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.
December 28, 2024 at 2:00 PM
#AI4PEX research focus 2: Model Development
To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.
To develop better #EarthSystemModels we will expand the use of #EarthObservation in combination with #MachineLearning. We focus on explainability of #AI models and causality to better identify model-observations mismatch.
#AI4PEX research focus 1: #EarthObservation
We leverage existing in-situ observations and EO data-streams to generate new upscaled #MachineLearning -based products, and cross-check with the Copernicus land, ocean and atmospheric datasets.
#EarthSystemModels #climatescience
We leverage existing in-situ observations and EO data-streams to generate new upscaled #MachineLearning -based products, and cross-check with the Copernicus land, ocean and atmospheric datasets.
#EarthSystemModels #climatescience
December 27, 2024 at 2:00 PM
#AI4PEX research focus 1: #EarthObservation
We leverage existing in-situ observations and EO data-streams to generate new upscaled #MachineLearning -based products, and cross-check with the Copernicus land, ocean and atmospheric datasets.
#EarthSystemModels #climatescience
We leverage existing in-situ observations and EO data-streams to generate new upscaled #MachineLearning -based products, and cross-check with the Copernicus land, ocean and atmospheric datasets.
#EarthSystemModels #climatescience
How does #AI4PEX plan to overcome uncertainties in #ESMs and improve #climateprojections in the future? Over the next days, we will introduce you to the main research tasks of our project.
🚀 Stay tuned!
🚀 Stay tuned!
December 26, 2024 at 2:00 PM
How does #AI4PEX plan to overcome uncertainties in #ESMs and improve #climateprojections in the future? Over the next days, we will introduce you to the main research tasks of our project.
🚀 Stay tuned!
🚀 Stay tuned!
AI4PEX aims to improve the representation of processes in all domains – atmosphere, ocean, land - and through this, develop robust climate #mitigation and #adaptation strategies from multi-decadal to longer time scales.
👉 Find out more at https://ai4pex.org/
👉 Find out more at https://ai4pex.org/
December 19, 2024 at 11:00 AM
AI4PEX aims to improve the representation of processes in all domains – atmosphere, ocean, land - and through this, develop robust climate #mitigation and #adaptation strategies from multi-decadal to longer time scales.
👉 Find out more at https://ai4pex.org/
👉 Find out more at https://ai4pex.org/
#AI4PEX is a transnational #ClimateResearch project funded by #HorizonEU #CINEA.
We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.
#ClimateResearch #EarthSystemModels
We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.
#ClimateResearch #EarthSystemModels
December 17, 2024 at 2:00 PM
#AI4PEX is a transnational #ClimateResearch project funded by #HorizonEU #CINEA.
We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.
#ClimateResearch #EarthSystemModels
We will deliver enhanced knowledge on the Earth System by integrating #EarthObservation, #ArtificialIntelligence and #MachineLearning into Earth System modelling.
#ClimateResearch #EarthSystemModels
Welcome to the #HorizonEU project AI4PEX.
We harness AI to improve Earth System models increasing the accuracy of #ClimateChange projections and support for implementation of the Paris Climate Agreement and the #EUGreenDeal. 🌱
🚀Join us on this journey! Follow for updates!
We harness AI to improve Earth System models increasing the accuracy of #ClimateChange projections and support for implementation of the Paris Climate Agreement and the #EUGreenDeal. 🌱
🚀Join us on this journey! Follow for updates!
December 16, 2024 at 2:16 PM
Welcome to the #HorizonEU project AI4PEX.
We harness AI to improve Earth System models increasing the accuracy of #ClimateChange projections and support for implementation of the Paris Climate Agreement and the #EUGreenDeal. 🌱
🚀Join us on this journey! Follow for updates!
We harness AI to improve Earth System models increasing the accuracy of #ClimateChange projections and support for implementation of the Paris Climate Agreement and the #EUGreenDeal. 🌱
🚀Join us on this journey! Follow for updates!