Imagine a giant digital filter for the Earth's atmosphere that can tell exactly what's floating in the air, from desert dust to smoke. This project improves the 'brain' of the Copernicus monitoring system so it can better predict how these particles move and change. It's like upgrading a blurry weather map to a high-definition 3D model of air pollution.
Current atmospheric monitoring often lacks the precision needed to distinguish between different types of aerosols, such as desert dust versus biomass burning, leading to inaccurate air quality forecasts.
Developed a dust flux emission optimization system and an observation operator for 910nm wavelength extinction and backscatter.
If you are a consultancy dealing with unpredictable crop yields due to air quality and dust, this project developed improved aerosol modelling that provides better data on atmospheric composition. This allows for more accurate environmental risk assessments for farmers.
If you are an operator dealing with efficiency losses from desert dust on panels, this project developed a dust flux emission optimization system. This helps in predicting dust plumes to optimize cleaning schedules and energy output.
If you are a firm dealing with inaccurate local pollution forecasts, this project developed new prototype service elements for CAMS. This improves the quality of air pollutant monitoring products used for regulatory compliance.
Based on available project data, the project develops prototype elements for the CAMS service, which is a Copernicus flagship programme; specific commercial pricing is not mentioned.
The project is developing prototype service elements to be integrated into the existing CAMS global and regional production systems, indicating a path toward large-scale operational use.
Based on available project data, the project is a HORIZON-RIA focused on improving a public service (CAMS), but specific licensing terms for the prototypes are not provided.
The project period runs from 2024-01-01 to 2026-12-31, suggesting that the full set of prototype improvements will be finalized by the end of 2026.
The project focuses on the data assimilation system of the ECMWF’s Integrated Forecast System (IFS-COMPO), ensuring direct integration into the CAMS global production system.
The consortium is heavily research-oriented, consisting of 15 partners from 11 countries. With 11 research organizations and only 2 SMEs (including the coordinator HYGEOS SARL), the industry ratio is low at 13%. This structure suggests the project is primarily focused on scientific advancement and prototype development rather than immediate commercial productization.
Contact HYGEOS SARL regarding CAMS aerosol prototype integration.
Contact us to find partners for implementing CAMS-based air quality monitoring in your region.
