Articles | Volume 16, issue 20
https://doi.org/10.5194/gmd-16-6001-2023
© Author(s) 2023. 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-16-6001-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Louisa K. Emmons
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Helen M. Worden
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Rajesh Kumar
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Cenlin He
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Benjamin Gaubert
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Zhonghua Zheng
Department of Earth and Environmental Sciences, The University of Manchester, Manchester M13 9PL, United Kingdom
Simone Tilmes
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Rebecca R. Buchholz
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Sara-Eva Martinez-Alonso
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Claire Granier
Laboratoire d'Aérologie, CNRS, Université de Toulouse, Toulouse, France
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
Antonin Soulie
Laboratoire d'Aérologie, CNRS, Université de Toulouse, Toulouse, France
Kathryn McKain
Global Monitoring Laboratory (GML), National Oceanic and Atmospheric Administration, Boulder, CO, USA
Bruce C. Daube
Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA, USA
Jeff Peischl
Cooperative Institute for Research in Environmental Sciences (CIRES), University of Colorado, Boulder, CO, USA
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
Chelsea Thompson
NOAA Chemical Sciences Laboratory, Boulder, CO, USA
Pieternel Levelt
Atmospheric Chemistry Observations & Modeling Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3730 AE De Bilt, the Netherlands
University of Technology Delft, Mekelweg 5, 2628 CD Delft, the Netherlands
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Cited
10 citations as recorded by crossref.
- Assessment of WRF-Chem model simulations of particulate matter in West Africa: a systematic review O. Ukachi & A. Onyejuruwa
- Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses A. Soulie et al.
- Air quality in Africa from the telecoupled perspective: exploring interdisciplinary and transboundary scientific collaboration between Africa and the Global North M. Dekker et al.
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al.
- Regional-Scale Dispersion and Concentration Prediction of Emerging Pollutants: From Mechanistic Models to Intelligent Algorithms 美. 陈
- Assessment of fine particle variability and sources in Nairobi, Kenya with WRF-CHIMERE simulations, surface measurements, and satellite observations E. Nyaga et al.
- Urban Climate Adaptation and REsilience (U-CARE) in Texas: Insights from Interdisciplinary Perspectives Y. Xu et al.
- Disproportionately large impacts of wildland-urban interface fire emissions on global air quality and human health W. Tang et al.
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al.
- Evaluation of ozone and its precursors using the Multi-Scale Infrastructure for Chemistry and Aerosols Version 0 (MUSICAv0) during the Michigan–Ontario Ozone Source Experiment (MOOSE) N. Mariscal et al.
10 citations as recorded by crossref.
- Assessment of WRF-Chem model simulations of particulate matter in West Africa: a systematic review O. Ukachi & A. Onyejuruwa
- Global anthropogenic emissions (CAMS-GLOB-ANT) for the Copernicus Atmosphere Monitoring Service simulations of air quality forecasts and reanalyses A. Soulie et al.
- Air quality in Africa from the telecoupled perspective: exploring interdisciplinary and transboundary scientific collaboration between Africa and the Global North M. Dekker et al.
- Global Trends in Air Pollution Modeling over Cities Under the Influence of Climate Variability: A Review W. Enciso-Díaz et al.
- Regional-Scale Dispersion and Concentration Prediction of Emerging Pollutants: From Mechanistic Models to Intelligent Algorithms 美. 陈
- Assessment of fine particle variability and sources in Nairobi, Kenya with WRF-CHIMERE simulations, surface measurements, and satellite observations E. Nyaga et al.
- Urban Climate Adaptation and REsilience (U-CARE) in Texas: Insights from Interdisciplinary Perspectives Y. Xu et al.
- Disproportionately large impacts of wildland-urban interface fire emissions on global air quality and human health W. Tang et al.
- Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa W. Tang et al.
- Evaluation of ozone and its precursors using the Multi-Scale Infrastructure for Chemistry and Aerosols Version 0 (MUSICAv0) during the Michigan–Ontario Ozone Source Experiment (MOOSE) N. Mariscal et al.
Saved (final revised paper)
Latest update: 20 May 2026
Short summary
The new MUSICAv0 model enables the study of atmospheric chemistry across all relevant scales. We develop a MUSICAv0 grid for Africa. We evaluate MUSICAv0 with observations and compare it with a previously used model – WRF-Chem. Overall, the performance of MUSICAv0 is comparable to WRF-Chem. Based on model–satellite discrepancies, we find that future field campaigns in an eastern African region (30°E–45°E, 5°S–5°N) could substantially improve the predictive skill of air quality models.
The new MUSICAv0 model enables the study of atmospheric chemistry across all relevant scales. We...