Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa
Precipitable water vapor (PWV) is an important climate parameter indicative of available moisture in the atmosphere, it is also an important greenhouse gas. Observations of precipitable water vapor in sub-Sahel West Africa are almost non-existent. Several Aerosol Robotic Network (AERONET) sites have...
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ftdatacite:10.48550/arxiv.1806.08461 2023-05-15T13:06:29+02:00 Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa Falaiye, Oluwasesan A. Abimbola, Oladiran J. Pinker, Rachel T. Pérez-Ramírez, Daniel Willoughby, Alexander. A. 2018 https://dx.doi.org/10.48550/arxiv.1806.08461 https://arxiv.org/abs/1806.08461 unknown arXiv https://dx.doi.org/10.1016/j.heliyon.2018.e00765 arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences article-journal Article ScholarlyArticle Text 2018 ftdatacite https://doi.org/10.48550/arxiv.1806.08461 https://doi.org/10.1016/j.heliyon.2018.e00765 2022-04-01T09:35:41Z Precipitable water vapor (PWV) is an important climate parameter indicative of available moisture in the atmosphere, it is also an important greenhouse gas. Observations of precipitable water vapor in sub-Sahel West Africa are almost non-existent. Several Aerosol Robotic Network (AERONET) sites have been established across West Africa, and observations from four of them, namely, Ilorin (4.34o E, 8.32o N), Cinzana (5.93o W, 13.28o N), Banizoumbou (2.67o E, 13.54o N) and Dakar (16.96o W, 14.39o N) are being used in this study. Data spanning the period from 2004 to 2014 have been selected, they include conventional humidity parameters, remotely sensed aerosol and precipitable water information and numerical model outputs. Since in Africa, only conventional information on humidity parameters is available, it is important to utilize the unique observations from the AERONET network to calibrate empirical formulas frequently used to estimate precipitable water vapor from humidity measurements. An empirical formula of the form PWV=aT_d+b where T_d is the surface dew point temperature, a and b are constants, was fitted to the data and is proposed as applicable to the climatic condition of the sub-Sahel. Moreover, we have also used the AERONET information to evaluate the capabilities of well-established numerical weather prediction (NWP) models such as ERA Interim Reanalysis, NCEP-DOE Reanalysis II and NCEP-CFSR, to estimate precipitable water vapor in the sub-Sahel West Africa, it was found that the models tend to overestimate the amount of precipitable water at the selected sites by about 25 %. Text Aerosol Robotic Network DataCite Metadata Store (German National Library of Science and Technology) |
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Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
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Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences Falaiye, Oluwasesan A. Abimbola, Oladiran J. Pinker, Rachel T. Pérez-Ramírez, Daniel Willoughby, Alexander. A. Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph FOS Physical sciences |
description |
Precipitable water vapor (PWV) is an important climate parameter indicative of available moisture in the atmosphere, it is also an important greenhouse gas. Observations of precipitable water vapor in sub-Sahel West Africa are almost non-existent. Several Aerosol Robotic Network (AERONET) sites have been established across West Africa, and observations from four of them, namely, Ilorin (4.34o E, 8.32o N), Cinzana (5.93o W, 13.28o N), Banizoumbou (2.67o E, 13.54o N) and Dakar (16.96o W, 14.39o N) are being used in this study. Data spanning the period from 2004 to 2014 have been selected, they include conventional humidity parameters, remotely sensed aerosol and precipitable water information and numerical model outputs. Since in Africa, only conventional information on humidity parameters is available, it is important to utilize the unique observations from the AERONET network to calibrate empirical formulas frequently used to estimate precipitable water vapor from humidity measurements. An empirical formula of the form PWV=aT_d+b where T_d is the surface dew point temperature, a and b are constants, was fitted to the data and is proposed as applicable to the climatic condition of the sub-Sahel. Moreover, we have also used the AERONET information to evaluate the capabilities of well-established numerical weather prediction (NWP) models such as ERA Interim Reanalysis, NCEP-DOE Reanalysis II and NCEP-CFSR, to estimate precipitable water vapor in the sub-Sahel West Africa, it was found that the models tend to overestimate the amount of precipitable water at the selected sites by about 25 %. |
format |
Text |
author |
Falaiye, Oluwasesan A. Abimbola, Oladiran J. Pinker, Rachel T. Pérez-Ramírez, Daniel Willoughby, Alexander. A. |
author_facet |
Falaiye, Oluwasesan A. Abimbola, Oladiran J. Pinker, Rachel T. Pérez-Ramírez, Daniel Willoughby, Alexander. A. |
author_sort |
Falaiye, Oluwasesan A. |
title |
Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
title_short |
Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
title_full |
Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
title_fullStr |
Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
title_full_unstemmed |
Multi-Technique Analysis of Precipitable Water Vapor Estimates in the sub-Sahel West Africa |
title_sort |
multi-technique analysis of precipitable water vapor estimates in the sub-sahel west africa |
publisher |
arXiv |
publishDate |
2018 |
url |
https://dx.doi.org/10.48550/arxiv.1806.08461 https://arxiv.org/abs/1806.08461 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_relation |
https://dx.doi.org/10.1016/j.heliyon.2018.e00765 |
op_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.1806.08461 https://doi.org/10.1016/j.heliyon.2018.e00765 |
_version_ |
1766007904842809344 |