Atmospheric Concentration of Black Carbon over Africa: Hotspot Regions, Seasonal Dynamics and Future Projections from Bias-Adjusted AerChemMIP Models
Abstract. Black carbon (BC) is one of the most potent short-lived climate forcers, accelerating global warming and posing risks to human health. Despite its climatic and health implications, BC remains poorly characterized across much of Africa. Here, we use bias-adjusted Aerosol Chemistry Model Intercomparison Project (AerChemMIP) simulations to identify hotspot regions, analyse long-term trends and assess key drivers of its spatial-temporal changes. Although models reproduce the spatial patterns of BC, they systematically underestimate concentration over Central Africa. The bias-adjusted simulations indicate that BC concentration is highest in Central Africa, where annual mean values exceed 1.5 µg m⁻³ and seasonal peaks reach approximately 3 µg m⁻³, while North Africa and Madagascar exhibit much lower concentration (0.1 µg m⁻³). Seasonal dynamics is dominated by dry-season enhancements driven by biomass burning while lower concentration is detected during the wet season due to reduced burning activities and enhanced wet deposition. In addition, long-range transport of BC from Europe enhances concentration in North Africa. The Sen’s slope and Mann-Kendall trend test revealed significant BC increase in regions with rapid economic development such as southern Nigeria, central Ethiopia, Rwanda and northern Egypt. Future projections under SSP370SST show continued BC increase (~0.5–1.0 % yr⁻¹) in North, West and East Africa until mid-century while a significant decrease in parts of Central and Southern Africa until late-century. These findings highlight the need for targeted control strategies and stronger regulatory policies to reduce BC concentration in hotspot regions while sustaining and reinforcing mitigation efforts in regions with declining trends.
This manuscript presents the spatial distribution, seasonal variability, historical trends, and future evolution of surface BC over Africa using AerChemMIP simulations adjusted with MERRA-2. The models generally underestimate BC concentrations, particularly over Central Africa, and project continued increases across parts of North, West, and East Africa under SSP370SST. The regional focus is important because long-term BC measurements remain limited across Africa. However, the analysis contains substantial methodological and interpretive limitations, including the lack of independent evaluation using ground-based measurements, the assumption of stationary model bias, excessive reliance on correlation and statistical significance, and conclusions based on indirect associations rather than quantitative attribution. The manuscript also contains numerous grammatical, mathematical, and internal-consistency errors that substantially affect readability. Therefore, I do not recommend publication of the manuscript.
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Numerous grammatical errors are present throughout the manuscript. Examples include “Seasonal dynamics is dominated” in Line 17; “large uncertainties on… remain high” in Line 41; “knowledge gap undermines Africa’s effective development, region-specific mitigation strategies” in Line 57; “Under SSP370,… slow technological development and high challenge to mitigation” in Line 78; “Lower values…indicates” in Line 141; “to outperforms” in Line 154; “The spatial distribution…show” in Line 184; “exhibits the highest underestimation of compared to” in Line 188; “RMSE further support” in Line 205; “BC decrease” in Line 238; “These findings…is” in Line 242; “a peak in BC concentration… is low” in Line 245; “West Africa… minima” in Line 245; “portions of BC was sourced” in Line 287; “increase in BC…pose” in Line 342. The manuscript requires general language editing rather than correction of only the examples listed above.
Several typographical and terminology errors are also present. Examples include “SO4-2” in Line 96; “conversional observation datasets” in Line 100; “Global Fire Emissions (GFE) Database” in Line 118; “mass mixing ration” in Line 123; “Montgomery.2017” in Line 158; “Figs.2” in Line 211; “mean sea level pressure (MSL)” in Line 302; “Mitterrandian Sea” in Line 293.
SSP370SST is not defined in the Abstract, ycor is not defined after Eq. 5, and PSCF is not defined in the main text. “AerChemMIP” and “AeroChemMIP” are both used, as are “CMIP6,” “CMIP-6,” and “CMIP 6.” Grid resolutions also use inconsistent symbols and spacing, including 0.25°x0.25°, 0.5° x 0.625°, and 0.5°×0.5°. Figure numbering, abbreviations, equations, captions, and reference formatting require comprehensive checking.