Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/3497
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dc.contributor.authorNgaina, Joshua N.-
dc.contributor.authorMutai, B. K.-
dc.date.accessioned2017-07-26T07:37:33Z-
dc.date.available2017-07-26T07:37:33Z-
dc.date.issued2013-
dc.identifier.citationJournal of Meteorology and Climate Science; Vol 11, No 1en_US
dc.identifier.urihttps://www.ajol.info/index.php/jmcs/article/view/99976-
dc.identifier.urihttp://repository.seku.ac.ke/handle/123456789/3497-
dc.description.abstractThis study sought to investigate the spatial and temporal variations of aerosols over East Africa based on Moderate Resolution Imaging Spectroradiometer (MODIS) satellite sensor. A Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model was used for trajectory analysis in order to reconstruct the origins of air masses and understand the Spatio-temporal variability of aerosol concentrations. MODIS aerosol data (2001 to 2012) revealed decreasing aerosol loading over East Africa. An assessment of seasonal variability in AOD revealed maximum AOD values during the December –January –February (DJF) and June –July –August (JJA) season. Back trajectory analyses indicated that aerosols reaching East Africa were transported from either Arabian and Indian sub continent or western parts of the Indian Ocean. Therefore, long term and more comprehensive satellite AOD retrievals are necessary in order to achieve a better understanding of spatial and temporal variations in aerosols over East Africa.en_US
dc.language.isoenen_US
dc.subjectAerosol Optical Depthen_US
dc.subjectMODISen_US
dc.subjectEast Africaen_US
dc.titleMonitoring spatio-temporal variability of aerosol over East Africaen_US
dc.typeArticleen_US
Appears in Collections:School of Agriculture, Environment, Water and Natural Resources Management (JA)

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