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dc.contributor.authorAwe, O.O.
dc.contributor.authorGil Alana, Luis A. 
dc.date.accessioned2022-02-14T13:06:12Z
dc.date.available2022-02-14T13:06:12Z
dc.date.issued2021
dc.identifier.issn0280-6495spa
dc.identifier.urihttp://hdl.handle.net/10641/2810
dc.description.abstractThis paper deals with the time series analysis of precipitation patterns in Africa’s most populated nation using recently developed flexible modelling techniques to study the monthly precipitation data of some major economically viable and highly populated regions in Nigeria. The results indicate that there is a significant trend for Lagos rainfall data, implying that precipitations have systematically increased over time in this city. Additionally, the seasonal component is more prominent in the cases of Kano and Kaunda than for Ibadan and Lagos. The findings of this study have relevant policy implications for forecasting, agricultural planning, relating precipitation variability in Nigeria with standard climate drivers, as well as for disaster or risk reduction in the context of climate change, global warming and migration in the post-pandemic era.spa
dc.language.isoengspa
dc.publisherTellus A: Dynamic Meteorology and Oceanographyspa
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectPrecipitation dynamicsspa
dc.subjectAgricultural planningspa
dc.subjectFractional integrationspa
dc.subjectClimate changespa
dc.titleFractional integration analysis of precipitation dynamics: empirical insights from Nigeria.spa
dc.typearticlespa
dc.description.versionpost-printspa
dc.rights.accessRightsopenAccessspa
dc.description.extent1029 KBspa
dc.identifier.doi10.1080/16000870.2020.1822099spa
dc.relation.publisherversionhttps://www.tandfonline.com/doi/full/10.1080/16000870.2020.1822099spa


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Atribución-NoComercial-SinDerivadas 3.0 España
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España