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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...

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Autores principales: Oloyede, Opeyemi Adamson, Lopez, Nicolas, Ozuomba, Simeon, Asuquo, Philip, Essien, Emmanuel, Agbu, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
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.
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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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