CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach

Abstract. The Country Level Air Quality Calculator (CLAQC) is an open-source modeling tool that utilizes national sectoral emissions and weather data to forecast monthly and annual concentrations of PM2.5 and O3. CLAQC leverages the recent advancements in the Copernicus Atmosphere Monitoring Service (CAMS) system, employing CAMS global gridded emissions and CAMS reanalysis pollutant concentrations to improve the accuracy of its predictions. One of the notable strengths of CLAQC is its ability to provide country-specific and sectoral information. We have developed two methodological approaches, namely, elastic net modeling and extreme gradient boosting regressor, that can effectively predict annual average concentrations for nearly all countries. Both methods show good performance for the country's yearly average, while sensitivity tests show less robust results at the sectoral level. The tool can simulate a vast range of policy scenarios and can be integrated into national policy assessment and optimization frameworks. Finally, we present a method selection framework for each country to optimize performance and an online tool displaying model results.1

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Publication Details

Journal
Geoscientific model development
Published
2025-04-22
DOI
https://doi.org/10.5194/gmd-18-2373-2025
Primary Topic
Atmospheric chemistry and aerosols
Type
article
Field-Weighted Citation Impact
0.00

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article

CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach

Francesco Granella, Lara Aleluia Reis, Paulina Estela Schulz-Antipa, Stefania Renna
Geoscientific model development
Atmospheric chemistry and aerosols
article

CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach

Francesco Granella, Lara Aleluia Reis, Paulina Estela Schulz-Antipa, Stefania Renna
article en

Abstract

Abstract. The Country Level Air Quality Calculator (CLAQC) is an open-source modeling tool that utilizes national sectoral emissions and weather data to forecast monthly and annual concentrations of PM2.5 and O3. CLAQC leverages the recent advancements in the Copernicus Atmosphere Monitoring Service (CAMS) system, employing CAMS global gridded emissions and CAMS reanalysis pollutant concentrations to improve the accuracy of its predictions. One of the notable strengths of CLAQC is its ability to provide country-specific and sectoral information. We have developed two methodological approaches, namely, elastic net modeling and extreme gradient boosting regressor, that can effectively predict annual average concentrations for nearly all countries. Both methods show good performance for the country's yearly average, while sensitivity tests show less robust results at the sectoral level. The tool can simulate a vast range of policy scenarios and can be integrated into national policy assessment and optimization frameworks. Finally, we present a method selection framework for each country to optimize performance and an online tool displaying model results.1

Geoscientific model developmentVol. 18(8)
World Bank (US), RFF-CMCC European Institute on Economics and the Environment (IT), CMCC Foundation - Euro-Mediterranean Center on Climate Change (IT), Bocconi University (IT), Politecnico di Milano (IT)
World Bank Group
Openalex Percentile: Top 87%
Atmospheric chemistry and aerosols
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CLAQC v1.0 – Country Level Air Quality Calculator: an empirical modeling approach — Francesco Granella, Lara Aleluia Reis, et al. · Geoscientific model development (2025) | TGRS Research Map | TGRS