Articles | Volume 17, issue 20
https://doi.org/10.5194/gmd-17-7467-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-7467-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Air quality modeling intercomparison and multiscale ensemble chain for Latin America
Jorge E. Pachón
Department of Environmental Engineering, Universidad de La Salle, Bogotá, 111711, Colombia
Mariel A. Opazo
Department of Geophysics and Center for Climate and Resilience Research (CR2), Universidad de Chile, Santiago, 8320000, Chile
Pablo Lichtig
Comisión Nacional de Energía Atómica – CNEA, Buenos Aires, C1429BNP, Argentina
Nicolas Huneeus
Department of Geophysics and Center for Climate and Resilience Research (CR2), Universidad de Chile, Santiago, 8320000, Chile
Idir Bouarar
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Cathy W. Y. Li
Max Planck Institute for Meteorology, 20146 Hamburg, Germany
Johannes Flemming
European Centre for Medium-Range Weather Forecasts – ECMWF, 53175 Bonn, Germany
Laurent Menut
Laboratoire de Météorologie Dynamique, Palaiseau, 91128, France
Camilo Menares
Department of Geophysics and Center for Climate and Resilience Research (CR2), Universidad de Chile, Santiago, 8320000, Chile
Laura Gallardo
Department of Geophysics and Center for Climate and Resilience Research (CR2), Universidad de Chile, Santiago, 8320000, Chile
Michael Gauss
Norwegian Meteorological Institute, Oslo, 0313, Norway
Mikhail Sofiev
Finnish Meteorological Institute, Helsinki, 00560, Finland
Rostislav Kouznetsov
Finnish Meteorological Institute, Helsinki, 00560, Finland
Julia Palamarchuk
Finnish Meteorological Institute, Helsinki, 00560, Finland
Andreas Uppstu
Finnish Meteorological Institute, Helsinki, 00560, Finland
Laura Dawidowski
Comisión Nacional de Energía Atómica – CNEA, Buenos Aires, C1429BNP, Argentina
Nestor Y. Rojas
Department of Chemical and Environmental Engineering, Universidad Nacional de Colombia, Bogotá, 111321, Colombia
María de Fátima Andrade
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidad de São Paulo, São Paulo, 05508-09B, Brazil
Mario E. Gavidia-Calderón
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidad de São Paulo, São Paulo, 05508-09B, Brazil
Alejandro H. Delgado Peralta
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidad de São Paulo, São Paulo, 05508-09B, Brazil
Daniel Schuch
Instituto de Astronomia, Geofísica e Ciências Atmosféricas, Universidad de São Paulo, São Paulo, 05508-09B, Brazil
Civil and Environmental Engineering, Northeastern University, Boston, MA 02115, USA
Data sets
Supplementary Dataset: Air quality modeling intercomparison and multi-scale ensemble chain for Latin America, In Air quality modeling intercomparison and multi-scale ensemble chain for Latin America Jorge E. Pachon et al. https://doi.org/10.5281/zenodo.10934489
Model code and software
Modelling and Observation System and Analysis Tool (MOSPAT) Nicolas Huneeus and Mariel Opazo https://github.com/NeoMOSPAT/NeoMOSPAT_PAPILA
Executive editor
This multi-model inter-comparison presents a state-of-the-art assessment of Latin America for the first time which is a region often ignored in air quality studies.
This multi-model inter-comparison presents a state-of-the-art assessment of Latin America for...
Short summary
Latin America (LAC) has some of the most populated urban areas in the world, with high levels of air pollution. Air quality management in LAC has been traditionally focused on surveillance and building emission inventories. This study performed the first intercomparison and model evaluation in LAC, with interesting and insightful findings for the region. A multiscale modeling ensemble chain was assembled as a first step towards an air quality forecasting system.
Latin America (LAC) has some of the most populated urban areas in the world, with high levels of...