Most people focus on CO2 when talking about global warming, but other gases and particles also heat the planet. This work identifies these 'hidden' drivers and maps out how they move and react in the air. It's like upgrading a blurry map to a high-definition one so we can see exactly which pollutants are causing the most damage in specific regions.
Current climate models have low confidence regarding non-CO2 pollutants, making it difficult for businesses and governments to predict regional climate impacts and design effective mitigation policies.
The project is developing improved Earth System Models (ESMs), Regional Climate Models (RCMs), and regionally tuned emission scenarios.
If you are a fertilizer producer dealing with emissions regulations — this project developed improved emission scenarios that help predict how changes in agriculture production affect the climate. This allows for better alignment with future environmental policies.
If you are a consultancy dealing with imprecise regional climate forecasts — this project developed regionally tuned scenarios and improved Earth System Models. This provides more accurate data for clients needing specific regional impact assessments.
If you are a city planner dealing with air quality and health targets — this project developed tools to investigate mitigation policies. This helps in making data-driven decisions on land-use and land-cover changes to reduce warming.
Based on available project data, there is no mention of a commercial price or licensing fee, as the project is funded by an EU contribution of EUR 6,470,974 for research purposes.
The project focuses on implementing processes into global and regional climate models. Based on available project data, the output is simulation software and scenarios rather than a physical industrial plant.
Based on available project data, specific licensing terms are not provided; however, the project involves 17 partners across 10 countries, suggesting a collaborative research output.
The project includes mutual interactions with climate services producers and end-users to provide feedback for scenario preparation and decision-making support.
The project period runs from 2022-09-01 to 2026-08-31.
The consortium is heavily weighted toward research and academia, with 7 universities and 7 research organizations. Industrial participation is low at 6% (1 industry partner and 2 SMEs), indicating that the project's primary output is scientific knowledge and simulation software rather than a commercial product.
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