Wavelet Analysis of the Interconnection between Atmospheric Aerosol Types and Direct Irradiation over Cameroon

The comparative analysis of the intra- and interannual dynamics between the Direct Normal Irradiation (DNI) under clear sky conditions and five aerosol types (Dust, Sea Salt, Black Carbon, Organic Carbon, and Sulfate) is the purpose of this study. To achieve this aim, we used fifteen-year DNI and ae...

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Bibliographic Details
Published in:Advances in meteorology 2022-09, Vol.2022, p.1-15
Main Authors: Alotse Douanla, Yaulande, Mamadou, Ossénatou, Dembélé, André, Koukoui, Djidjoho Renaud Roméo, Akpoly, Fifamè Edwige, Lenouo, André
Format: Article
Language:English
Subjects:
Aerosols
Analysis
Atmosphere
Atmospheric aerosols
Atmospheric particulates
Atmospheric physics
Black carbon
Carbon
Carbon aerosols
Clear sky
Climate change
Coherence analysis
Comparative analysis
Dust
Hydrology
Irradiation
Organic carbon
Periodicity
Phase lag
Precipitation
Radiation
Rain
Renewable energy
Sulfates
Time series
Variables
Wavelet analysis
Wavelet transforms
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Summary:The comparative analysis of the intra- and interannual dynamics between the Direct Normal Irradiation (DNI) under clear sky conditions and five aerosol types (Dust, Sea Salt, Black Carbon, Organic Carbon, and Sulfate) is the purpose of this study. To achieve this aim, we used fifteen-year DNI and aerosols data downloaded at 3-hour time intervals in nine defined zones throughout Cameroon. The wavelet transform is a powerful tool for studying local variability of amplitudes in a temporal dataset and constitutes our principal tool. The results show unequal distribution of aerosol types according to zones, but the Desert Dusts (DU) and Organic Carbon (OM) aerosols have been found as dominant particles in the studied region. The wavelet coherence analysis between DNI and each aerosol type reveals three bands of periodicity: ∼4-month band, 8–16-month band, and sometimes after-32-month band, with the most important frequency at 8–16-month band period. However, the intensity of coherence across bands varies with respect to aerosol type as well as each of the nine climate zones. A significant anticorrelation relationship was obtained between DNI and each type of aerosol, emphasizing that the presence of such atmospheric particles could dampen the renewable energy utilized by power systems. Also, the analysis shows that scattering aerosols such as Sulfate and Sea Salt (SU and SS, respectively) lead DNI in phase while absorbing aerosols such as Organic Carbon, Black Carbon, and Dust (OM, BC, and DU, respectively) give phase lag with DNI.
ISSN:1687-9309
1687-9317
DOI:10.1155/2022/1030330