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Upper-air meteorological dataset for Uyo, using radiosonde
Weather pattern anomalies and climate change have greatly impacted human activities and the environment in varying ways. Whether induced naturally or by anthropogenic activities, it remains a menace to global public health. A foreknowledge of the weather/climate change can help in mitigating the imp...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868371/ https://www.ncbi.nlm.nih.gov/pubmed/36699732 http://dx.doi.org/10.1016/j.dib.2023.108904 |
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author | Oloyede, Opeyemi Adamson Lopez, Nicolas Ozuomba, Simeon Asuquo, Philip Essien, Emmanuel Agbu, Alexander |
author_facet | Oloyede, Opeyemi Adamson Lopez, Nicolas Ozuomba, Simeon Asuquo, Philip Essien, Emmanuel Agbu, Alexander |
author_sort | Oloyede, Opeyemi Adamson |
collection | PubMed |
description | Weather pattern anomalies and climate change have greatly impacted human activities and the environment in varying ways. Whether induced naturally or by anthropogenic activities, it remains a menace to global public health. A foreknowledge of the weather/climate change can help in mitigating the impact of disasters emanating from these changes. Upper-air meteorological data play an exceptionally large role in weather and climate prediction. However, there is a paucity of ground truth meteorological data in Nigeria and many parts of Africa. Consequently, the need to measure and archive these data. Internet of things and blockchain technologies are employed to build a system that captures and records meteorological data at up to 9,000 metres above sea level. Spanning between January 18, 2021 and July 26, 2021, in Uyo local government area, upper air pressure, temperature, dew point, time and the elevation at which they were captured, are the meteorological data presented in this data article. |
format | Online Article Text |
id | pubmed-9868371 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-98683712023-01-24 Upper-air meteorological dataset for Uyo, using radiosonde Oloyede, Opeyemi Adamson Lopez, Nicolas Ozuomba, Simeon Asuquo, Philip Essien, Emmanuel Agbu, Alexander Data Brief Data Article Weather pattern anomalies and climate change have greatly impacted human activities and the environment in varying ways. Whether induced naturally or by anthropogenic activities, it remains a menace to global public health. A foreknowledge of the weather/climate change can help in mitigating the impact of disasters emanating from these changes. Upper-air meteorological data play an exceptionally large role in weather and climate prediction. However, there is a paucity of ground truth meteorological data in Nigeria and many parts of Africa. Consequently, the need to measure and archive these data. Internet of things and blockchain technologies are employed to build a system that captures and records meteorological data at up to 9,000 metres above sea level. Spanning between January 18, 2021 and July 26, 2021, in Uyo local government area, upper air pressure, temperature, dew point, time and the elevation at which they were captured, are the meteorological data presented in this data article. Elsevier 2023-01-13 /pmc/articles/PMC9868371/ /pubmed/36699732 http://dx.doi.org/10.1016/j.dib.2023.108904 Text en © 2023 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Oloyede, Opeyemi Adamson Lopez, Nicolas Ozuomba, Simeon Asuquo, Philip Essien, Emmanuel Agbu, Alexander Upper-air meteorological dataset for Uyo, using radiosonde |
title | Upper-air meteorological dataset for Uyo, using radiosonde |
title_full | Upper-air meteorological dataset for Uyo, using radiosonde |
title_fullStr | Upper-air meteorological dataset for Uyo, using radiosonde |
title_full_unstemmed | Upper-air meteorological dataset for Uyo, using radiosonde |
title_short | Upper-air meteorological dataset for Uyo, using radiosonde |
title_sort | upper-air meteorological dataset for uyo, using radiosonde |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868371/ https://www.ncbi.nlm.nih.gov/pubmed/36699732 http://dx.doi.org/10.1016/j.dib.2023.108904 |
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