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Artificial Intelligence for Air Quality (IntelliAQ)

The IntelliAQ project develops a novel approach to make concurrent use of global air quality data together with different earth system data types and applies cutting edge machine learning techniques to improve the analysis of air quality data globally.

IntelliAQ Workflow

IntelliAQ Workflow

The IntelliAQ project develops novel approaches for the analysis and synthesis of global air quality data based on deep neural networks. The foundation of this project is one of the world’s largest collection of surface air quality measurements, which was recently assembled at the Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich and plays a pivotal role in the ongoing first comprehensive Tropospheric Ozone Assessment Report (TOAR).

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Earth System Data Exploration (ESDE) Group

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ERC

IntelliAQ is funded by the EU's ERC programme, Grant Agreement 787576

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