EACH: artificial intelligence Emulating Atmospheric CHemistry

• Applicants: Professor Dr. Timothy Butler; Dr. Andrea Pozzer
• Subject Area: Atmospheric Science ; Image and Language Processing, Computer Graphics and Visualisation, Human Computer Interaction, Ubiquitous and Wearable Computing
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 541914720

The EACH project aims to emulate the chemical mechanisms used in numerical models for atmospheric chemistry. Its primary objective is to develop a comprehensive methodology and a robust set of algorithms that enable the automatic training and execution of artificial intelligence (AI) systems capable of reproducing the most complex chemical decomposition schemes found in numerical models and replicating the gas-phase species decomposition within the Earth's atmosphere. This endeavor seeks to advance our understanding of atmospheric chemistry and enhance our ability to model and predict environmental changes.

• DFG Programme: Research Grants
• International Connection: Spain
• Partner Organisation: Agencia Estatal de Investigación
• Cooperation Partner: Dr. Hervé Petetin