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

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Title A systematic review of existing early warning systems’ challenges and opportunities in cloud computing early warning systems
 
Creator Agbehadji, I. E.
Mabhaudhi, Tafadzwanashe
Botai, J.
Masinde, M.
 
Subject early warning systems
systematic reviews
meta-analysis
climate services
climate prediction
techniques
modelling
frameworks
natural disasters
 
Description This 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.
 
Date 2023-09-08
2023-09-20T02:52:51Z
2023-09-20T02:52:51Z
 
Type Journal Article
 
Identifier Agbehadji, 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]
2225-1154
https://hdl.handle.net/10568/131907
https://www.mdpi.com/2225-1154/11/9/188/pdf?version=1694397872
https://doi.org/10.3390/cli11090188
H052179
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 11(9):188.
 
Source Climate