Articles | Volume 17, issue 22
https://doi.org/10.5194/acp-17-13999-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-17-13999-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
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
CORRESPONDING AUTHOR
Department of Earth & Planetary Sciences, Harvard University, Cambridge, MA 02138, USA
Rebecca M. Garland
Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa
Climatology Research Group, North West University, Potchefstroom 2520, South Africa
Marcus Thatcher
Marine and Atmospheric Research, Commonwealth Scientific and Industrial Research Organisation, Melbourne 3195, Australia
Willem A. Landman
Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa
Department of Geography, Geoinformatics and Meteorology, University of Pretoria, Hatfield 0028, South Africa
Zane Dedekind
Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa
Jacobus van der Merwe
Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa
Francois A. Engelbrecht
Natural Resources and the Environment Unit, Council for Scientific and Industrial Research, Pretoria 0001, South Africa
School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg 2000, South Africa
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- Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. 10.3390/rs14061510
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- Enhanced CH4 emissions from global wildfires likely due to undetected small fires J. Zhao et al. 10.1038/s41467-025-56218-w
24 citations as recorded by crossref.
- Exploring Meteorological Conditions and Human Health Impacts during Two Dust Storm Events in Northern Cape Province, South Africa: Findings and Lessons Learnt V. Nkosi et al. 10.3390/atmos13030424
- Mass concentration, optical depth and carbon composition of particulate matter in the major southern West African cities of Cotonou (Benin) and Abidjan (Côte d'Ivoire) J. Djossou et al. 10.5194/acp-18-6275-2018
- Evaluation of soil moisture from CCAM-CABLE simulation, satellite-based models estimates and satellite observations: a case study of Skukuza and Malopeni flux towers F. Khosa et al. 10.5194/hess-24-1587-2020
- Aerosol Optical Properties and Types over Southern Africa and Reunion Island Determined from Ground-Based and Satellite Observations over a 13-Year Period (2008–2021) M. Ranaivombola et al. 10.3390/rs15061581
- Quality Assessment and Application Scenario Analysis of AGRI Land Aerosol Product from the Geostationary Satellite Fengyun-4B in China N. Wang et al. 10.3390/s24165309
- Sub-seasonal aerosol characterization at the Middle East regions of AERONET site C. Anoruo 10.1016/j.uclim.2021.100827
- A machine learning model to estimate ambient PM2.5 concentrations in industrialized highveld region of South Africa D. Zhang et al. 10.1016/j.rse.2021.112713
- Accuracy assessment and climatology of MODIS aerosol optical properties over North Africa A. Merdji et al. 10.1007/s11356-022-22997-8
- Impact of long-range transport over the Atlantic Ocean on Saharan dust optical and microphysical properties based on AERONET data C. Velasco-Merino et al. 10.5194/acp-18-9411-2018
- Aerosols on the Tropical Island of La Réunion (21°S, 55°E): Assessment of Climatology, Origin of Variability and Trend V. Duflot et al. 10.3390/rs14194945
- Modeling and spatial characterization of aerosols at Middle East AERONET stations C. Anoruo et al. 10.1007/s00704-023-04384-6
- Seasonal and diurnal variability in O3, black carbon, and CO measured at the Rwanda Climate Observatory H. DeWitt et al. 10.5194/acp-19-2063-2019
- Dust Emission Modeling Using a New High‐Resolution Dust Source Function in WRF‐Chem With Implications for Air Quality S. Parajuli et al. 10.1029/2019JD030248
- Verification of ERA5 and ERA-Interim precipitation over Africa at intra-annual and interannual timescales J. Steinkopf & F. Engelbrecht 10.1016/j.atmosres.2022.106427
- Retrieving hourly aerosol optical depth for geostationary satellite FY-4B/AGRI by surface-related dynamic spectral reflectance ratio method W. Wang et al. 10.1016/j.asr.2024.10.057
- An Evaluation of the CHIMERE Chemistry Transport Model to Simulate Dust Outbreaks across the Northern Hemisphere in March 2014 B. Bessagnet et al. 10.3390/atmos8120251
- On the determination of coherent solar climates over a tropical island with a complex topography P. Mialhe et al. 10.1016/j.solener.2020.04.049
- Aerosol characterization in an oceanic context around Reunion Island (AEROMARINE field campaign) F. Mascaut et al. 10.1016/j.atmosenv.2021.118770
- Evaluating the diurnal cycle of South Atlantic stratocumulus clouds as observed by MSG SEVIRI C. Seethala et al. 10.5194/acp-18-13283-2018
- Retrieval of Black Carbon Absorption Aerosol Optical Depth from AERONET Observations over the World during 2000–2018 N. Dehkhoda et al. 10.3390/rs14061510
- A weather regime characterisation of winter biomass aerosol transport from southern Africa M. Gaetani et al. 10.5194/acp-21-16575-2021
- Remote sensing of aerosols due to biomass burning over Kanpur, Sao-Paulo, Ilorin and Canberra S. Tariq et al. 10.1007/s10874-022-09444-1
- On the Role of the Flaming to Smoldering Transition in the Seasonal Cycle of African Fire Emissions B. Zheng et al. 10.1029/2018GL079092
- Enhanced CH4 emissions from global wildfires likely due to undetected small fires J. Zhao et al. 10.1038/s41467-025-56218-w
Latest update: 28 Mar 2025
Short summary
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.
Africa is a major source of particles (or aerosols) from dust and fires, which impact climate....
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