A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems

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dc.creatorAgbehadji, I. E.
dc.creatorMabhaudhi, Tafadzwanashe
dc.creatorBotai, J.
dc.creatorMasinde, M.
dc.date2023-09-08
dc.date2023-09-20T02:52:51Z
dc.date2023-09-20T02:52:51Z
dc.date.accessioned2026-06-27T18:35:38Z
dc.descriptionThis paper assessed existing EWS challenges and opportunities in cloud computing through the PSALSAR framework for systematic literature review and meta-analysis. The research used extant literature from Scopus and Web of Science, where a total of 2516 pieces of literature were extracted between 2004 and 2022, and through inclusion and exclusion criteria, the total was reduced to 98 for this systematic review. This review highlights the challenges and opportunities in transferring in-house early warning systems (that is, non-cloud) to the cloud computing infrastructure. The different techniques or approaches used in different kinds of EWSs to facilitate climate-related data processing and analytics were also highlighted. The findings indicate that very few EWSs (for example, flood, drought, etc.) utilize the cloud computing infrastructure. Many EWSs are not leveraging the capability of cloud computing but instead using online application systems that are not cloud-based. Secondly, a few EWSs have harnessed the computational techniques and tools available on a single platform for data processing. Thirdly, EWSs combine more than one fundamental tenet of the EWS framework to provide a holistic warning system. The findings suggest that reaching a global usage of climate-related EWS may be challenged if EWSs are not redesigned to fit the cloud computing service infrastructure.
dc.identifierhttps://hdl.handle.net/10568/131907
dc.identifier.urihttp://hdl.handle.net/123456789/160321
dc.languageen
dc.publisherMDPI
dc.rightsOpen Access
dc.sourceAgbehadji, I. E.; Mabhaudhi, Tafadzwanashe; Botai, J.; Masinde, M. 2023. A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems. Climate, 11(9):188. [doi: https://doi.org/10.3390/cli11090188]
dc.subjectearly warning systems
dc.subjectsystematic reviews
dc.subjectmeta-analysis
dc.subjectclimate services
dc.subjectclimate prediction
dc.subjecttechniques
dc.subjectmodelling
dc.subjectframeworks
dc.subjectnatural disasters
dc.titleA systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems
dc.typeJournal Article

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Instituto Internacional para el Manejo del Agua (IWMI)