Articles | Volume 17, issue 22
Atmos. Chem. Phys., 17, 13999–14023, 2017
https://doi.org/10.5194/acp-17-13999-2017
Atmos. Chem. Phys., 17, 13999–14023, 2017
https://doi.org/10.5194/acp-17-13999-2017

Research article 24 Nov 2017

Research article | 24 Nov 2017

Evaluation of climate model aerosol seasonal and spatial variability over Africa using AERONET

Hannah M. Horowitz et al.

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Subject: Aerosols | Research Activity: Atmospheric Modelling | Altitude Range: Troposphere | Science Focus: Physics (physical properties and processes)
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Cited articles

Abel, S. J., Highwood, E. J., Haywood, J. M., and Stringer, M. A.: The direct radiative effect of biomass burning aerosols over southern Africa, Atmos. Chem. Phys., 5, 1999–2018, https://doi.org/10.5194/acp-5-1999-2005, 2005.
AeroCom Phase II Interface: http://aerocom.met.no/cgi-bin/aerocom/surfobs_annualrs.pl, last access: 8 September 2017.
Allen, R. J. and Landuyt, W.: The vertical distribution of black carbon in CMIP5models: Comparison to observations and the importance of convective transport, J. Geophys. Res.-Atmos., 119, 4808–4835, https://doi.org/10.1002/2014JD021595, 2014.
Anyamba, A., Justice, C. O., Tucker, C. J., and Mahoney, R.: Seasonal to interannual variability of vegetation and fires at SAFARI 2000 sites inferred from advanced very high resolution radiometer time series data, J. Geophys. Res.-Atmos., 108, D13, https://doi.org/10.1029/2002jd002464, 2003.
Archibald, S.: Managing the human component of fire regimes: lessons from Africa, Philos. T. R. Soc. B., 371, 20150346, https://doi.org/10.1098/Rstb.2015.0346, 2016.
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Africa is a major source of particles (or aerosols) from dust and fires, which impact climate. Models used to predict impacts of future climate change have not been well tested for aerosols over Africa. In this study we evaluate aerosols in the CCAM climate model against observations across Africa and surrounding regions. We find the model generally captures observed variability but overestimates dust in northern Africa, which has implications for its representation of climate feedbacks.
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