Preprints
https://doi.org/10.2139/ssrn.4591252
https://doi.org/10.2139/ssrn.4591252
06 May 2024
 | 06 May 2024
Status: this preprint is open for discussion.

CLAQC v1.0 – Country Level Air Quality Calculator. An Empirical Modeling Approach

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

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 fine particulate matter (PM2.5) and tropospheric ozone (O3). CLAQC leverages the recent advancements in the 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. Although both methods show good performance for the country's yearly average, the sectoral contributions are not robust enough for the elastic net models. 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.

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

Status: open (until 01 Jul 2024)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
Stefania Renna, Francesco Granella, Lara Aleluia Reis, and Paulina Estela Schulz-Antipa
Stefania Renna, Francesco Granella, Lara Aleluia Reis, and Paulina Estela Schulz-Antipa

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Short summary
The Country Level Air Quality Calculator (CLAQC) is a new fast modeling tool that predicts globally country-level monthly and annual concentrations of two major air pollutants, fine particulate matter (PM2.5) and tropospheric ozone (O3). It was designed to inform national and regional climate and pollution mitigation policies. It is easy to use and computationally efficient, allowing the simulation of a large number of policy scenarios for policy assessments and optimization frameworks.