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Statistical analysis reveals the sine cosine model best estimates aerosol optical depth, suggesting its application in air quality research.
In the course of this research, we acquired Aerosol Optical Depth(AOD) data from the archive of AERosol Robotic NETwork(AeroNet) for Ilorin, Nigeria(latitude 8.32N longitude 4.34E) spanning a period of 13 years from 2002 to 2014. WE examined three distinct trigonometric models namely Sine, Cosine and Sine Cosine using the R software package for analysis. To evaluate the performance of these modelswe employed statistical error metrics including the root mean square error(RMSE), mean bias error(MBE). Additionally we calculated the correlation coefficient(R) and coefficient of determination (R) for each model. After thorough evaluation, it was observed that the sine Cosine model outperformed the other models, exhibiting the highest values for both R and R, as well as the lowest RMSE. Therefore, we recommend the utilization of the Sine Cosine model for researchers engaged in air quality assessment and atmospheric studies
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Abdullahi Abba Dambatta (2025) studied this question.
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