Imagine a giant, high-tech filter for the planet that tells us exactly what's in the air. This project upgrades the sensors and the math used to track pollution and gases from space. It's like moving from a blurry old photo to a sharp 4K image, making it clear where pollution is coming from and how much is actually there.
Current atmospheric monitoring often lacks precise uncertainty data and cannot yet fully utilize the newest generation of satellite sensors, leading to gaps in air quality and greenhouse gas reporting.
The project built technical infrastructure for aerosol reflectance assimilation and super-observation software to handle large satellite data volumes.
If you are a plant operator dealing with solar efficiency losses due to atmospheric haze — this project developed better solar radiation and deposition products that provide quantitative uncertainty information. This allows for more precise energy yield predictions.
If you are a consulting firm dealing with imprecise greenhouse gas data for corporate clients — this project developed advanced data assimilation for trace gases. This provides more reliable evidence for sustainability goals and policy compliance.
If you are a city authority dealing with unpredictable smog levels — this project developed the uptake of Sentinel-4 and Sentinel-5 satellite data. This enables more accurate regional air pollution monitoring to protect citizens.
Based on available project data, the Copernicus Atmosphere Monitoring Service (CAMS) provides its data and information for free.
Yes, the developments are carried out directly within the CAMS production systems, which are designed for global and regional operational service.
Based on available project data, the project focuses on transferring developments into the CAMS operational service, which provides free and continuous data.
The project specifically prepares systems for the uptake of forthcoming satellite data, including Sentinel-4, Sentinel-5, and 3MI.
The project period runs from 2023-01-01 to 2025-12-31, targeting medium- to long-term evolution of the service.
The consortium is heavily research-oriented, featuring 16 research organizations and 4 universities, which suggests a focus on high-level algorithmic development. However, the leadership by ECMWF (the CAMS operator) and the inclusion of 2 SMEs and 2 industry partners ensure that the 23 partners are aligned with operational needs rather than just theoretical research.
Contact the European Centre for Medium-Range Weather Forecasts (ECMWF) regarding CAMS evolution.
Contact us to find out how to integrate CAMS uncertainty data into your environmental risk models.
