Please use this identifier to cite or link to this item: http://197.159.135.214/jspui/handle/123456789/917
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dc.contributor.authorAizansi, Arsene Nounangnon-
dc.date.accessioned2024-09-03T13:12:34Z-
dc.date.available2024-09-03T13:12:34Z-
dc.date.issued2021-07-05-
dc.identifier.urihttp://197.159.135.214/jspui/handle/123456789/917-
dc.descriptionA Thesis submitted to the West African Science Service Center on Climate Change and Adapted Land Use and Université Joseph KI-ZERBO, Burkina Faso in partial fulfillment of the requirements for the Master of Science Degree in Informatics for Climate Changeen_US
dc.description.abstractThere are quite a number of offline climate analysis tools for climate analysis but none has an inbuilt database to store outputs of analysis. Outputs are stored in a folder of the application or software used for the analysis. Quality control such as replacing white spaces with a value accepted by the software had to be done manually by the user. Climate indices are computed in bulk instead of allowing the user to compute specific indices needed at a particular time. For this reason, a data repository for climate analysis called PRIABO Data Repository was created through this research to help deal with these challenges. This data repository deals with the white spaces during the loading of the data into the data repository by replacing the white spaces with a value accepted by the software or data repository. This data repository also computes specific indices at a time depending on the needs of the user. There are 32 climate indices including core and noncore indices but this repository computes 16 climate indices with 2 non-core climate indices and 14 core climate indices. Outputs such as indices and graphs are stored in the database for each station.en_US
dc.description.sponsorshipFederal Ministry of Education and Researchen_US
dc.language.isoenen_US
dc.publisherWASCALen_US
dc.subjectRepositoryen_US
dc.subjectClimateen_US
dc.subjectAnalysisen_US
dc.subjectIndicesen_US
dc.titleDesign and Implementation of an Offline Data Repository for Climate Analysisen_US
dc.typeThesisen_US
Appears in Collections:Informatics for Climate Change - Batch 1

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