TY - JOUR
T1 - Geospatial Distribution and Projection of Aerosol over Sub-Saharan Africa
T2 - Assessment from Remote Sensing and Other Platforms
AU - Atai, Godwin
AU - Ayanlade, Ayansina
AU - Oluwatimilehin, Isaac Ayo
AU - Ayanlade, Oluwatoyin Seun
N1 - Publisher Copyright:
© 2021, Institute of Earth Environment, Chinese Academy Sciences.
PY - 2021/9
Y1 - 2021/9
N2 - Saharan Africa has experienced persistent exposure to aerosol from time immemorial, but the intensity has been much more severe in recent years. In this study, aerosol optical depths (AOD) retrievals from ground-based, satellite-based and modelled data set were compared, for the time scale of 1994–2019, 2000–2019, and 1985–2019, respectively, over Saharan Africa. Validation of satellite-based records and model aerosol records were complemented by ground-based records; also, seasonal variations in the atmospheric aerosol were predicted using multiple decadal projections. Results from the multi-model ensemble showed no significant differences between mean monthly aerosol retrieved from different platforms and model-based, where F = 55.114 for ground-based, F = 66.675 for satellite-based, F = 49.638 for the model data set, with Sig = 0.000 at P < 0.05. The study concludes that seasonal variation in Saharan Africa could be accounted for the variation in AOD and the Bodélé depression in Chad which mainly releases nearly 40% of the dust over parts of Saharan Africa especially during the harmattan.
AB - Saharan Africa has experienced persistent exposure to aerosol from time immemorial, but the intensity has been much more severe in recent years. In this study, aerosol optical depths (AOD) retrievals from ground-based, satellite-based and modelled data set were compared, for the time scale of 1994–2019, 2000–2019, and 1985–2019, respectively, over Saharan Africa. Validation of satellite-based records and model aerosol records were complemented by ground-based records; also, seasonal variations in the atmospheric aerosol were predicted using multiple decadal projections. Results from the multi-model ensemble showed no significant differences between mean monthly aerosol retrieved from different platforms and model-based, where F = 55.114 for ground-based, F = 66.675 for satellite-based, F = 49.638 for the model data set, with Sig = 0.000 at P < 0.05. The study concludes that seasonal variation in Saharan Africa could be accounted for the variation in AOD and the Bodélé depression in Chad which mainly releases nearly 40% of the dust over parts of Saharan Africa especially during the harmattan.
KW - Aerosol
KW - African
KW - Remote sensing
KW - Saharan atmospheres
UR - http://www.scopus.com/inward/record.url?scp=85107955640&partnerID=8YFLogxK
U2 - 10.1007/s41810-021-00107-4
DO - 10.1007/s41810-021-00107-4
M3 - Article
AN - SCOPUS:85107955640
SN - 2510-375X
VL - 5
SP - 357
EP - 372
JO - Aerosol Science and Engineering
JF - Aerosol Science and Engineering
IS - 3
ER -