Imagine trying to tell if a city's smog comes from cars or a nearby forest fire; it's hard because they both look similar from space. This project creates a 'chemical fingerprint' system that uses other gases and carbon isotopes to tell exactly where CO2 is coming from. It's like adding a unique dye to different fuel sources so we can track them accurately from the sky.
Companies and governments struggle to accurately distinguish between CO2 coming from fossil fuels versus natural biological sources. This lack of precision makes it difficult to verify if carbon reduction targets are actually being met.
A Fossil Fuel Data Assimilation System (FFDAS) and optimized B matrix parameters for spatial and temporal correlations. They also developed a global point source database for anthropogenic emissions.
If you are a carbon auditing firm dealing with inaccurate self-reported emission data — this project developed a monitoring and verification support capacity that uses co-emitted species to better estimate anthropogenic CO2 emissions. This allows for more reliable verification of a client's carbon footprint.
If you are a fleet operator dealing with pressure to prove emission reductions in road transport — this project developed a 4-dimensional CO2 emission ensemble based on national-level road transport data. This provides a scientific basis for verifying the actual impact of fleet electrification.
If you are a tech provider dealing with the difficulty of separating soil carbon absorption from industrial pollution — this project developed coupled land-atmosphere data assimilation using satellite observations of soil moisture and biomass. This helps isolate the actual carbon sequestration of the land.
Based on available project data, no commercial pricing is mentioned as the project is funded by the EU to support the Copernicus Atmosphere Monitoring Service (CAMS).
The project aims for the CO2MVS capacity to be operational by 2026 within the Copernicus programme, indicating a transition from research to operational scale.
Based on available project data, IP details are not specified, but the outcomes are intended to feed into the operational CAMS capacity.
The goal is for the CO2MVS to be operational by 2026.
It integrates with the Copernicus Atmosphere Monitoring Service (CAMS) and provides recommendations for ICOS and WMO.
The consortium is heavily research-oriented, consisting of 17 partners across 8 countries. With 10 universities and 6 research organizations, the academic weight is high (approx 94%), while industry representation is very low at 6% (1 partner). This suggests the output is primarily a scientific methodology and prototype for a public service rather than a commercial product.
Contact the European Centre for Medium-Range Weather Forecasts (ECMWF)
Contact us to explore how to integrate CO2MVS data into your corporate ESG reporting.
