Print Email Facebook Twitter Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa Title Application of the Multi-Scale Infrastructure for Chemistry and Aerosols version 0 (MUSICAv0) for air quality research in Africa Author Tang, Wenfu (National Center for Atmospheric Research) Emmons, Louisa K. (National Center for Atmospheric Research) Worden, Helen M. (National Center for Atmospheric Research) Kumar, Rajesh (National Center for Atmospheric Research) He, Cenlin (National Center for Atmospheric Research) Gaubert, Benjamin (National Center for Atmospheric Research) Zheng, Zhonghua (The University of Manchester) Tilmes, Simone (National Center for Atmospheric Research) Levelt, Pieternel Felicitas (TU Delft Atmospheric Remote Sensing; National Center for Atmospheric Research; Royal Netherlands Meteorological Institute (KNMI)) Date 2023 Abstract The Multi-Scale Infrastructure for Chemistry and Aerosols Version 0 (MUSICAv0) is a new community modeling infrastructure that enables the study of atmospheric composition and chemistry across all relevant scales. We develop a MUSICAv0 grid with Africa refinement (∼ 28 km × 28 km over Africa). We evaluate the MUSICAv0 simulation for 2017 with in situ observations and compare the model results to satellite products over Africa. A simulation from the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem), a regional model that is widely used in Africa studies, is also included in the analyses as a reference. Overall, the performance of MUSICAv0 is comparable to WRF-Chem. Both models underestimate carbon monoxide (CO) compared to in situ observations and satellite CO column retrievals from the Measurements of Pollution in the Troposphere (MOPITT) satellite instrument. MUSICAv0 tends to overestimate ozone (O3), likely due to overestimated stratosphere-to-troposphere flux of ozone. Both models significantly underestimate fine particulate matter (PM2.5) at two surface sites in East Africa. The MUSICAv0 simulation agrees better with aerosol optical depth (AOD) retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) and tropospheric nitrogen dioxide (NO2) column retrievals from the Ozone Monitoring Instrument (OMI) than WRF-Chem. MUSICAv0 has a consistently lower tropospheric formaldehyde (HCHO) column than OMI retrievals. Based on model–satellite discrepancies between MUSICAv0 and WRF-Chem and MOPITT CO, MODIS AOD, and OMI tropospheric NO2, we find that future field campaign(s) and more in situ observations in the East African region (5∘ S–5∘ N, 30–45∘ E) could substantially improve the predictive skill of atmospheric chemistry model(s). This suggested focus region exhibits the largest model–in situ observation discrepancies, as well as targets for high population density, land cover variability, and anthropogenic pollution sources. To reference this document use: http://resolver.tudelft.nl/uuid:d1c08804-3f48-45b1-9d65-15fb67cdb80a DOI https://doi.org/10.5194/gmd-16-6001-2023 ISSN 1991-959X Source Geoscientific Model Development, 16 (20), 6001–6028 Part of collection Institutional Repository Document type journal article Rights © 2023 Wenfu Tang, Louisa K. Emmons, Helen M. Worden, Rajesh Kumar, Cenlin He, Benjamin Gaubert, Zhonghua Zheng, Simone Tilmes, Pieternel Felicitas Levelt, More Authors Files PDF gmd_16_6001_2023.pdf 12.44 MB Close viewer /islandora/object/uuid:d1c08804-3f48-45b1-9d65-15fb67cdb80a/datastream/OBJ/view