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Design and Implementation of an Offline Data Repository for Climate Analysis

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dc.contributor.author Aizansi, Arsene Nounangnon
dc.date.accessioned 2024-09-03T13:12:34Z
dc.date.available 2024-09-03T13:12:34Z
dc.date.issued 2021-07-05
dc.identifier.uri http://197.159.135.214/jspui/handle/123456789/917
dc.description A 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 Change en_US
dc.description.abstract There 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.sponsorship Federal Ministry of Education and Research en_US
dc.language.iso en en_US
dc.publisher WASCAL en_US
dc.subject Repository en_US
dc.subject Climate en_US
dc.subject Analysis en_US
dc.subject Indices en_US
dc.title Design and Implementation of an Offline Data Repository for Climate Analysis en_US
dc.type Thesis en_US


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