Imagine trying to predict the weather when you don't fully understand how tiny floating particles in the air change how clouds form and reflect sunlight. This work acts like a high-definition lens, using satellites and AI to clear up that blur. By figuring out exactly how these particles and clouds interact, we can better predict extreme weather and long-term climate shifts.
Current weather and climate projections are unreliable because we don't understand how aerosols and clouds interact. This uncertainty makes it difficult for businesses to plan for extreme weather events and long-term climate shifts.
The project is building improved parameterisations for ice nucleating particles and aerosol activation, integrated into high-resolution and Earth system models.
If you are a crop insurance provider dealing with unpredictable extreme weather events — this project developed improved predictive models that provide more accurate projections of climate trends. This allows for better risk pricing and mitigation strategies for farmers.
If you are a software developer dealing with inefficient flight routing due to cloud and aerosol interference — this project developed advanced algorithms and satellite data integration that improve weather prediction. This helps in optimizing routes and reducing fuel consumption.
If you are a grid operator dealing with volatile solar energy output caused by cloud cover — this project developed high-resolution models of cloud microphysics. This enables more precise forecasts of solar radiation and energy production.
Based on available project data, no pricing or cost information is provided as this is a research-funded project.
The project focuses on improving the science and algorithms that feed into services like Copernicus. Based on available project data, it is currently in the research and model-improvement phase rather than a commercial scale product.
Based on available project data, there are no specific details regarding IP or licensing agreements provided in the summary.
The results are designed to feed into European climate and weather services such as Copernicus and inform IPCC reports.
The project period runs from 2024-01-01 to 2027-12-31.
The consortium is heavily academic and research-oriented, consisting of 19 partners across 10 countries. With 9 universities and 9 research organizations and only 1 SME (0% industry ratio), the project is designed for scientific discovery and model improvement rather than immediate commercial product development.
Contact CNRS in France for technical inquiries regarding aerosol-cloud interactions.
Contact us to find out how to integrate these emerging climate models into your risk management software.
