{"id":5144,"date":"2025-10-25T14:40:34","date_gmt":"2025-10-25T14:40:34","guid":{"rendered":"https:\/\/www.atm.helsinki.fi\/peex\/?post_type=avada_portfolio&p=5144"},"modified":"2025-10-29T14:44:01","modified_gmt":"2025-10-29T14:44:01","slug":"itm-2026-air-pollution-modelling-and-its-application","status":"publish","type":"avada_portfolio","link":"https:\/\/www.atm.helsinki.fi\/peex\/index.php\/portfolio-items\/itm-2026-air-pollution-modelling-and-its-application\/","title":{"rendered":"ITM-2026 – Air Pollution Modelling and its Application"},"content":{"rendered":"
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The 41st International Technical Meeting on \u201cAir Pollution Modelling and its Application\u201d (ITM-2026) will take place during 20-24 April 2026 in Sofia, Bulgaria. The ITM is one of most prominent forums for discussing the latest scientific developments and applications related to air pollution modelling at scales ranging from local to global. It brings together scientists and other stakeholders from the air pollution, climate change, policy, and health communities from across the globe.<\/p>\n

Key topics are<\/strong>:<\/p>\n

1. Regional and intercontinental modelling (including historic trends, current and future scenarios, impacts on air quality standards)\n2. Local and urban scale modelling (including the effects of building wakes, urban development scenarios, (green) urban infrastructures, and megacities)\n3. Emission modelling and processing (including emissions from ships and aircraft, temporal and spatial allocation of emissions, and projections related to climate change)\n4. Data assimilation and air quality forecasting (including combining ground-and satellite-based observations with model outputs, use of data assimilation techniques to identify measurement needs)\n5. Model assessment and verification (including performance evaluation, diagnostic, dynamical, and probabilistic evaluation)\n6. Aerosols in the atmosphere (including aerosol dynamics, aerosol formation, interaction with multiphase chemistry, and aerosol-cloud interactions)\n7. Modelling air pollution in a changing climate (including effects of air pollution on climate and the impact of changing climate on future air quality)\n8. Air quality effects on human health and ecosystems (including integrated and multimedia modelling, atmospheric deposition and the effects of regulatory programs on ambient air quality)\n9. Machine learning and AI in air quality modelling (use of machine learning algorithms and techniques to support, improve and speed up air pollution modelling)<\/p>\n

See more details in the announcement<\/a> and at the ITM-2026 website: https:\/\/itm2026.vito.be\/en<\/a><\/p>\n

Host Country (Bulgaria) contact: Ekaterina Batchvarova; Climate, Atmosphere and Water Research Institute at Bulgarian Academy of Sciences (CAWRI-BAS)<\/em><\/p>\n<\/div><\/div>