Development of a Cloud-Based Meteorological Historical Data System

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.