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KAIROS at the ESA-ECMWF Workshop on Machine Learning for Earth System Observation and Prediction

The ESA-ECMWF Workshop on Machine Learning for Earth System Observation and Prediction, held from 7-10 May 2024 in Frascati, Italy, served as a pivotal forum for exploring the synergies between machine learning (ML), deep learning (DL), and Earth System Observation and Prediction (ESOP). The KAIROS project had the opportunity to attend this workshop and underscore the transformative potential of ML methodologies in advancing the project's understanding and improvement of weather prediction.


Organized jointly by the European Space Agency (ESA) and the European Centre for Medium-Range Weather Forecasts (ECMWF), the workshop delved into a wide array of topics, including the impact of novel computing technologies such as high-performance computing, edge computing, and quantum computing on Earth observation. Participants engaged in discussions and collaborative working groups, exploring the fusion of traditional ESOP techniques with ML/DL algorithms to unlock new insights into environmental dynamics.


The KAIROS project actively participated in the workshop through UC3M researcher Bûn-Kim San, who presented a poster on wind reconstruction and nowcasting from weather station observation using physics-informed artificial intelligence.


Download the poster:


Poster_ESA_ECMWF
.pdf
Download PDF • 1.72MB




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