Gaussian algorithm for retrieving and projecting aerosols optical depth: A case study of Monrovia-Liberia


  • M Emetere



The large loss of satellite datasets over most parts of West Africa is very dangerous for the purpose of nowcast and forecast. The cause was traced to salient inabilities for satellite sensors to separate aerosols radiances from the surface of the earth to the top of the atmosphere. Fourteen years (2000-2013) Multi-angle Imaging SpectroRadiometer (MISR) was obtained. The volume of data loss in fourteen years was given as 69.9%. Guassian algorithm technique (GAT) was used in this study to retrieve the missing data for fourteen years. The success of the operation extended the research exploration to forecasting twenty years aerosols optical depth. GAT was proven to be very consistent via statistical analysis, cotour mapping, surface mesh mapping, relief mapping and vector mapping. A very high aerosol loading is expected to commence at the begining of 2023 and may last till 2028. It was also shown that aerosol optical depth may be stable between 2029-2033. Two hypothesis were propounded for further work. The results show that aerosol loading over the region is high and may be a major source of environmental hazard in the nearest future. 


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How to Cite

Emetere, M. (2018) “Gaussian algorithm for retrieving and projecting aerosols optical depth: A case study of Monrovia-Liberia”, The International Journal of Multiphysics, 12(3), pp. 239-256. doi: 10.21152/1750-9548.12.3.239.