Imagine trying to track a puff of smoke in a windy city; if your map is slightly off, you'll guess the wrong source of the fire. This work fixes the 'digital maps' used to track greenhouse gases in the air so they don't 'lose' or 'gain' carbon by mistake. It ensures that when we see CO2 in the atmosphere, we can pinpoint exactly where it came from with high accuracy.
Current CO2 tracking models suffer from systematic errors and mass conservation failures. This leads to inaccurate estimations of greenhouse gas emissions, making it difficult to verify climate targets.
Optimized advection schemes for the IFS model and two Large Eddy Simulation (LES) protocols for hotspot plume modelling.
If you are a carbon auditing firm dealing with inaccurate emission reports from clients — this project developed evaluation protocols and metrics that provide a quality control stamp for tracer transport accuracy. This allows for more precise verification of reported CO2 levels.
If you are an industrial plant operator dealing with plume dispersion uncertainty — this project developed Large Eddy Simulation (LES) protocols for modelling transport in plumes from emission hotspots. This helps in accurately mapping how emissions travel from a specific site.
If you are a regulatory agency dealing with unreliable national emission inventories — this project developed optimized advection schemes that reduce mass conservation errors. This ensures that the CO2MVS provides a more reliable basis for policy enforcement.
Based on available project data, no pricing or cost information is provided as this is a research project funded under HORIZON-RIA.
The project focuses on improving the operational CO2MVS and providing recommendations for the Carbon Cycle Community, indicating a move toward operational integration rather than a standalone industrial product.
Based on available project data, there is no specific mention of IP or licensing terms; it is coordinated by the European Centre for Medium-Range Weather Forecasts.
The results are designed to be employed in the operational CO2MVS to evaluate new transport model developments and characterize data assimilation accuracy.
The project period is from 2024-01-01 to 2026-12-31.
The consortium is purely academic and research-driven, consisting of 8 partners from 5 countries (DE, FI, FR, NL, UK). With 5 universities and 3 research organizations, and 0% industry participation, the project is focused on fundamental scientific improvement of atmospheric models rather than immediate commercial product development.
Contact the European Centre for Medium-Range Weather Forecasts (ECMWF) regarding CO2MVS integration.
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