Articles | Volume 18, issue 8
https://doi.org/10.5194/gmd-18-2373-2025
https://doi.org/10.5194/gmd-18-2373-2025
Model description paper
 | 
22 Apr 2025
Model description paper |  | 22 Apr 2025

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

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

Related authors

Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence
Piers M. Forster, Chris Smith, Tristram Walsh, William F. Lamb, Robin Lamboll, Christophe Cassou, Mathias Hauser, Zeke Hausfather, June-Yi Lee, Matthew D. Palmer, Karina von Schuckmann, Aimée B. A. Slangen, Sophie Szopa, Blair Trewin, Jeongeun Yun, Nathan P. Gillett, Stuart Jenkins, H. Damon Matthews, Krishnan Raghavan, Aurélien Ribes, Joeri Rogelj, Debbie Rosen, Xuebin Zhang, Myles Allen, Lara Aleluia Reis, Robbie M. Andrew, Richard A. Betts, Alex Borger, Jiddu A. Broersma, Samantha N. Burgess, Lijing Cheng, Pierre Friedlingstein, Catia M. Domingues, Marco Gambarini, Thomas Gasser, Johannes Gütschow, Masayoshi Ishii, Christopher Kadow, John Kennedy, Rachel E. Killick, Paul B. Krummel, Aurélien Liné, Didier P. Monselesan, Colin Morice, Jens Mühle, Vaishali Naik, Glen P. Peters, Anna Pirani, Julia Pongratz, Jan C. Minx, Matthew Rigby, Robert Rohde, Abhishek Savita, Sonia I. Seneviratne, Peter Thorne, Christopher Wells, Luke M. Western, Guido R. van der Werf, Susan E. Wijffels, Valérie Masson-Delmotte, and Panmao Zhai
Earth Syst. Sci. Data, 17, 2641–2680, https://doi.org/10.5194/essd-17-2641-2025,https://doi.org/10.5194/essd-17-2641-2025, 2025
Short summary

Cited articles

Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., and Hegewisch, K. C.: TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015, Scientific Data, 5, 170191, https://doi.org/10.1038/sdata.2017.191, 2018. a
Agostinelli, C. and Lund, U.: R package circular: Circular Statistics (version 0.4-94), CA: Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University, Venice, Italy. UL: Department of Statistics, California Polytechnic State University, San Luis Obispo, California, USA, https://r-forge.r-project.org/projects/circular/ (last access: 27 March 2025), 2022. a
Amann, M., Bertok, I., Borken-Kleefeld, J., Cofala, J., Heyes, C., Höglund-Isaksson, L., Klimont, Z., Nguyen, B., Posch, M., Rafaj, P., Sandler, R., Schöpp, W., Wagner, F., and Winiwarter, W.: Cost-effective control of air quality and greenhouse gases in Europe: Modeling and policy applications, Environ. Modell. Softw., 26, 1489–1501, https://doi.org/10.1016/j.envsoft.2011.07.012, 2011. a, b, c
Anenberg, S. C., Belova, A., Brandt, J., Fann, N., Greco, S., Guttikunda, S., Heroux, M.-E., Hurley, F., Krzyzanowski, M., Medina, S., Miller, B., Pandey, K., Roos, J., and Dingenen, R. V.: Survey of Ambient Air Pollution Health Risk Assessment Tools, Risk Anal., 36, 1718–1736, https://doi.org/10.1111/risa.12540, 2016. a
Baird, C. and Cann, M.: Chimica ambientale. Terza edizione italiana condotta sulla quinta edizione americana, Zanichelli, ISBN 9788808173782, 2013. a
Download
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 for the simulation of a large number of emission scenarios for policy assessments and optimization frameworks.
Share