Development of a Cloud-Based Meteorological Historical Data System

Gilbert Imuetinyan Osaze Aimufua; Sulaiman Ammar Gummi; Muhammad Umar Abdullahi

doi:doi:10.11648/j.ijiis.20221106.11

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Development of a Cloud-Based Meteorological Historical Data System

Gilbert Imuetinyan Osaze Aimufua, Sulaiman Ammar Gummi, Muhammad Umar Abdullahi

Published in International Journal of Intelligent Information Systems (Volume 11, Issue 6)

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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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

Gilbert Imuetinyan Osaze Aimufua

Department of Computer Science, Nasarawa State University, Keffi, Nigeria
Sulaiman Ammar Gummi

Department of Computer Science, Nasarawa State University, Keffi, Nigeria
Muhammad Umar Abdullahi

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

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Plain Text BibTeX RIS

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download