Collaborations
Collaborating outside XAIDA
The XAIDA community is very active and present at the International level for research and collective efforts in different fields. We are outlining here the projects with specific key words but they are not limited to the topic mentioned. Visit the websites to know more about our work!
AI for extreme weather events
Our brother project: CLINT (Climate Intelligence)
Attribution
Extreme and compounds Events
EDIPI (DrIvers, Predictability and Impacts)
ESM2025 (Earth System Models for the future)
IMPETUS4CHANGE – I4C (Improving near-term climate predictions for social transformation)
RECEIPT (Climate Storylines)
EUCP (European Climate Prediction system)
NextGEMS (develops two next generation (storm-resolving) Earth-system Models)
DAMOCLES (understanding and modeling compound climate and weather events)
DeepExtremes (European Space Agency project focusing on Extreme Events for detection and prediction)
COST ACTION FutureMed (A transdisciplinary network to bridge climate science and impacts on society)
COMPASS (Attribution of compound events)
AI, Machine Learning
USMILE (Understanding and Modelling the Earth System with Machine Learning)
CausalEarth (Causal Inference and Climate Informatics Group) – part of the German Aerospace Center’s Institute of Data Science in Jena
ELISE (European network of AI excellence centres)
DeepCube (Explainable AI pipelines for big Copernicus data – H2020 Space project)
iMIRACLI (innovative MachIne leaRning to constrain Aerosol-cloud CLimate Impacts)
TiPES (Tipping Points in the earth System)
CAFE (Climate Advanced Forecasting of sub-seasonal Extremes)
PREVENT (Improved predictability of extremes over the Mediterranean from seasonal to decadal timescales)
EXPECT (Towards an integrated capability to explain and predict regional climate changes)
AI4PEX (Artificial Intelligence and Machine Learning for Enhanced Representation of Processes and Extremes in Earth System Models)
Find out more on the collaborations and interactions with other EU funded projects
Read the paper: In 2012, soybean crops failed in the three largest producing regions due to spatially compounded hot and dry weather across North and South America. Here, we present
Read the paper: Artificial intelligence for modeling and understanding extreme weather and climate events
» In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system
In 2023, the world reached new record temperatures, with an unprecedented global mean temperature of 1.48°C above pre-industrial levels. These record temperatures strongly increased the intensity of heatwaves, droughts and
Event: the XAIDA teams are hosting several sessions at EGU. Check out the sessions and submit your abstract!
ClimaMeter is a rapid framework for understanding extreme weather events in a changing climate based on looking at similar past weather situation (©ClimaMeter). The platform is a collaboration between 4
