SPM32 | AI4PEX & EXPECT Joint Meeting on improving climate hazard prediction in Earth System Models
AI4PEX & EXPECT Joint Meeting on improving climate hazard prediction in Earth System Models
Convener: Nicole Börner | Co-conveners: Nuno Carvalhais, Markus G. Donat
Mon, 28 Apr, 16:15–18:00 (CEST)
 
Room 2.96
Mon, 16:15
This splinter meeting will inform about the joint forces of the Horizon Europe research projects AI4PEX and EXPECT, sharing the common goal of identifying, understanding, explaining and predicting climate extremes by using a variety of data from observations and Earth System Models in combination with Artificial Intelligence and Machine Learning. This meeting aims at better aligning the research in order to learn from and build on each other's work, identifying opportunities for collaboration, and offering a discussion platform for project activities.

The meeting is open to all interested in the activities of the AI4PEX and EXPECT projects. We especially welcome other EU-funded projects who are working on similar topics to engage in lively discussions about the scientific achievements and future capacity building events and to explore potential for future collaborations. Please contact the Conveners if you like to shortly present your project.

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AI4PEX (Artificial Intelligence for enhanced representation of processes and extremes in Earth System Models) will deliver enhanced knowledge on the Earth system by integrating Earth’s Observations, artificial Intelligence, and machine Learning into Earth system modelling and analysis.
EXPECT (Towards an Integrated Capability to Explain and Predict Regional Climate Changes) focuses on developing the capability for integrated attribution and prediction of climate changes, including changes in European summer extremes, in order to identify and quantify the factors that drive regional climate changes, and ultimately underpin more accurate and reliable predictions.