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Development of a Cloud-Based Meteorological Historical Data System

Received: 19 August 2022     Accepted: 21 September 2022     Published: 15 December 2022
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Abstract

Meteorological data has played a significant role in most developed and developing nations. However, in Nigeria, the storage of meteorological data has been so limited, scattered and without defined structure. The purpose of this paper is to develop a cloud-based meteorological data management system as well as a sales portal to improve the management of meteorological data and associated climate services at the Nigerian Meteorological Agency (NiMet). This agency has indisputable importance in the nation’s economy, but poor management leads to either loss or damage of the data. Additionally, the process of accessing NiMet data and products for research is often long and stressful. To address these problems, this paper adopts the waterfall and descriptive models to develop a new system. This approach divides the project activities into sequential phases, where each phase depends on the deliverables of the previous one and corresponds to a specialization of tasks. The developed system will be the central hub for numerous meteorological services, including statistical reports, graphical analyses, data extractions, climate summaries, and health sectors, which will dramatically improve work flow, data consistency, and integrity beyond previous practices in Nigeria.

Published in International Journal of Intelligent Information Systems (Volume 11, Issue 6)
DOI 10.11648/j.ijiis.20221106.11
Page(s) 78-90
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2022. Published by Science Publishing Group

Keywords

(ABS) Cloud Computing, Meteorological Management System, Historical Data System, Waterfall Model, Descriptive Model, Database Management System, Sale Portal

References
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[10] Chauhan, S. S., Pilli, E. S., Joshi, R. C., Singh, G., & Govil, M. C. (2019). Brokering in interconnected cloud computing environments: A survey. Journal of Parallel and Distributed Computing, 133, 193-209.
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[12] Ali, M. F. M., Asklany, S. A., El-wahab, M. A., & Hassan, M. A. (2019). Data mining algorithms for weather forecast phenomena: comparative study. International journal of computer science and network security, 19 (9), 76-81.
[13] Mahmood, M. R., Patra, R. K., Raja, R., & Sinha, G. R. (2019). A novel approach for weather prediction using forecasting analysis and data mining techniques. In Innovations in Electronics and Communication Engineering (pp. 479-489). Springer, Singapore.
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Cite This Article
  • APA Style

    Gilbert Imuetinyan Osaze Aimufua, Sulaiman Ammar Gummi, Muhammad Umar Abdullahi. (2022). Development of a Cloud-Based Meteorological Historical Data System. International Journal of Intelligent Information Systems, 11(6), 78-90. https://doi.org/10.11648/j.ijiis.20221106.11

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    ACS Style

    Gilbert Imuetinyan Osaze Aimufua; Sulaiman Ammar Gummi; Muhammad Umar Abdullahi. Development of a Cloud-Based Meteorological Historical Data System. Int. J. Intell. Inf. Syst. 2022, 11(6), 78-90. doi: 10.11648/j.ijiis.20221106.11

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    AMA Style

    Gilbert Imuetinyan Osaze Aimufua, Sulaiman Ammar Gummi, Muhammad Umar Abdullahi. Development of a Cloud-Based Meteorological Historical Data System. Int J Intell Inf Syst. 2022;11(6):78-90. doi: 10.11648/j.ijiis.20221106.11

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  • @article{10.11648/j.ijiis.20221106.11,
      author = {Gilbert Imuetinyan Osaze Aimufua and Sulaiman Ammar Gummi and Muhammad Umar Abdullahi},
      title = {Development of a Cloud-Based Meteorological Historical Data System},
      journal = {International Journal of Intelligent Information Systems},
      volume = {11},
      number = {6},
      pages = {78-90},
      doi = {10.11648/j.ijiis.20221106.11},
      url = {https://doi.org/10.11648/j.ijiis.20221106.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijiis.20221106.11},
      abstract = {Meteorological data has played a significant role in most developed and developing nations. However, in Nigeria, the storage of meteorological data has been so limited, scattered and without defined structure. The purpose of this paper is to develop a cloud-based meteorological data management system as well as a sales portal to improve the management of meteorological data and associated climate services at the Nigerian Meteorological Agency (NiMet). This agency has indisputable importance in the nation’s economy, but poor management leads to either loss or damage of the data. Additionally, the process of accessing NiMet data and products for research is often long and stressful. To address these problems, this paper adopts the waterfall and descriptive models to develop a new system. This approach divides the project activities into sequential phases, where each phase depends on the deliverables of the previous one and corresponds to a specialization of tasks. The developed system will be the central hub for numerous meteorological services, including statistical reports, graphical analyses, data extractions, climate summaries, and health sectors, which will dramatically improve work flow, data consistency, and integrity beyond previous practices in Nigeria.},
     year = {2022}
    }
    

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  • TY  - JOUR
    T1  - Development of a Cloud-Based Meteorological Historical Data System
    AU  - Gilbert Imuetinyan Osaze Aimufua
    AU  - Sulaiman Ammar Gummi
    AU  - Muhammad Umar Abdullahi
    Y1  - 2022/12/15
    PY  - 2022
    N1  - https://doi.org/10.11648/j.ijiis.20221106.11
    DO  - 10.11648/j.ijiis.20221106.11
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 78
    EP  - 90
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.20221106.11
    AB  - Meteorological data has played a significant role in most developed and developing nations. However, in Nigeria, the storage of meteorological data has been so limited, scattered and without defined structure. The purpose of this paper is to develop a cloud-based meteorological data management system as well as a sales portal to improve the management of meteorological data and associated climate services at the Nigerian Meteorological Agency (NiMet). This agency has indisputable importance in the nation’s economy, but poor management leads to either loss or damage of the data. Additionally, the process of accessing NiMet data and products for research is often long and stressful. To address these problems, this paper adopts the waterfall and descriptive models to develop a new system. This approach divides the project activities into sequential phases, where each phase depends on the deliverables of the previous one and corresponds to a specialization of tasks. The developed system will be the central hub for numerous meteorological services, including statistical reports, graphical analyses, data extractions, climate summaries, and health sectors, which will dramatically improve work flow, data consistency, and integrity beyond previous practices in Nigeria.
    VL  - 11
    IS  - 6
    ER  - 

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Author Information
  • Department of Computer Science, Nasarawa State University, Keffi, Nigeria

  • Department of Computer Science, Nasarawa State University, Keffi, Nigeria

  • Department of Computer Science, Federal University of Technology, Owerri, Nigeria

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