The global atlas provides interactive visualizations of various parameters, including PM1, PM2.5, PM10, O3, CO, NO2, SO2, BC and OC aerosol optical depth, AOD satellite, and NO2 tropospheric columns. It showcases climatological distributions, temporal variations, and long-term trends globally. Using CAMS reanalysis and ECMWF’s IFS model, it integrates observations and model data. The atlas also features NO2 tropospheric columns from OMI and AOD from MODIS Terra and Aqua sensors. With an 80 km grid resolution, it covers numerous countries, presenting historical data with a refresh rate of daily. The CAMS reanalysis spans January 2003 to June 2021, while satellite data stretches from 2002-2020.
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Listing Description
Climate-neutral and smart citiesAddressing target audiences and expressing needs
- Grants and Subsidies
- Other blended financing
- Collaboration
The consortium is now looking for partnership for the exploitation of the results. We, in particular, need to work with entities who are already working with public autorities (ministries, agencies, cities…).
- Public or private funding institutions
- International Organisations (ex. OECD, FAO, UN, etc.)
- Research and Technology Organisations
R&D, Technology and Innovation aspects
The system is up and running. Adaptations may be needed to meet the requirements of the co-exploiter.
Module 1, the Global and Regional Air Quality Atlases, is designed for effortless replication, ensuring its accessibility and impact across diverse contexts. Its architecture is scalable and adaptable, relying on standardized data formats and cloud-based platforms for easy deployment in various regions, even with varying technological capacities.
The user-friendly interface enhances replicability by accommodating users of all technical levels. With interactive maps and customizable features, extensive training or support becomes unnecessary, making the module feasible for implementation in different areas.
Flexibility is embedded through adaptable data sources and integration processes. By utilizing global reanalysis data, satellite observations, and model outputs, the module can incorporate local or region-specific information without compromising accuracy.
Open-source components further enhance replicability. Open-source code and data sharing facilitate customization according to local needs, accelerating deployment and fostering collaboration within the air quality management community.
Comprehensive documentation and support materials empower local authorities and stakeholders to replicate the module effectively. Guidelines for data integration, platform setup, and user training streamline the process and maximize the module’s impact.
In summary, Module 1’s replicability is ensured through scalable technology, user-friendly design, adaptable data sources, open-source components, and robust support materials. This replicability enables the Global and Regional Air Quality Atlases to benefit diverse regions, contributing to a global initiative for improved air quality and public health.
- Africa
- Asia
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Module 1’s unique value lies in its comprehensive global and regional air quality atlases. With data from Copernicus CAMS reanalysis, satellite sources like OMI and MODIS, it offers interactive visualizations of diverse pollutants and their temporal variations. This facilitates evidence-based decision-making for policymakers, empowers NGOs with insights, aids researchers in accessing global data, and enhances air quality understanding for all stakeholders. Its user-friendly interface, adaptability to various pollutants, and replicable methodology make it an indispensable tool for informed actions and improved air quality worldwide.
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Spain
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