Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa

Atmospheric mean temperature Tm, is a vital parameter in the evaluation of precipitable water vapor (PWV) through the analysis of GPS signal, it is therefore important to have a good way of evaluating Tm for the eventual accurate evaluation of PWV using GPS. Simple statistical models exist for vario...

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Main Authors: Oluwasesan Adeniran Falaiye, Yakubu Musa Sukam, Oladiran Johnson Abimbola
Format: Article
Language:English
Published: Elsevier 2020-03-01
Series:Scientific African
Online Access:http://www.sciencedirect.com/science/article/pii/S2468227619308154
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spelling doaj-cf2485ccae364d0b8b4957f8ee7b4d242020-11-25T02:39:13ZengElsevierScientific African2468-22762020-03-017Statistical modelling of atmospheric mean temperature in sub-Sahel West AfricaOluwasesan Adeniran Falaiye0Yakubu Musa Sukam1Oladiran Johnson Abimbola2Department of Physics, University of Ilorin, Faculty of Physical Sciences, NigeriaDepartment of Physics, University of Ilorin, Faculty of Physical Sciences, NigeriaDepartment of Physics, Federal University of Lafia, Faculty of Science, Nigeria; Corresponding author.Atmospheric mean temperature Tm, is a vital parameter in the evaluation of precipitable water vapor (PWV) through the analysis of GPS signal, it is therefore important to have a good way of evaluating Tm for the eventual accurate evaluation of PWV using GPS. Simple statistical models exist for various regions of the world for the evaluation of Tm, using surface temperature Ts, in the form Tm = aTs + b, where a and b are constants. For West Africa, where atmospheric data is usually very scarce, there is a minimal attempt at finding a statistical model for Tm, as a function of Ts. In this work attempt has been made to find such a model using data from the Climate Monitoring Satellite Facilities (CM-SAF) of the European Meteorological Satellites (EUMETSAT). The model derived was found to compare well with that obtained using radiosonde data with root-mean-square error of 1.189 and mean-biased error of 0.0952 between the two models. Keywords: West Africa, Atmospheric mean temperature, Precipitable water vaporhttp://www.sciencedirect.com/science/article/pii/S2468227619308154
collection DOAJ
language English
format Article
sources DOAJ
author Oluwasesan Adeniran Falaiye
Yakubu Musa Sukam
Oladiran Johnson Abimbola
spellingShingle Oluwasesan Adeniran Falaiye
Yakubu Musa Sukam
Oladiran Johnson Abimbola
Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
Scientific African
author_facet Oluwasesan Adeniran Falaiye
Yakubu Musa Sukam
Oladiran Johnson Abimbola
author_sort Oluwasesan Adeniran Falaiye
title Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
title_short Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
title_full Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
title_fullStr Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
title_full_unstemmed Statistical modelling of atmospheric mean temperature in sub-Sahel West Africa
title_sort statistical modelling of atmospheric mean temperature in sub-sahel west africa
publisher Elsevier
series Scientific African
issn 2468-2276
publishDate 2020-03-01
description Atmospheric mean temperature Tm, is a vital parameter in the evaluation of precipitable water vapor (PWV) through the analysis of GPS signal, it is therefore important to have a good way of evaluating Tm for the eventual accurate evaluation of PWV using GPS. Simple statistical models exist for various regions of the world for the evaluation of Tm, using surface temperature Ts, in the form Tm = aTs + b, where a and b are constants. For West Africa, where atmospheric data is usually very scarce, there is a minimal attempt at finding a statistical model for Tm, as a function of Ts. In this work attempt has been made to find such a model using data from the Climate Monitoring Satellite Facilities (CM-SAF) of the European Meteorological Satellites (EUMETSAT). The model derived was found to compare well with that obtained using radiosonde data with root-mean-square error of 1.189 and mean-biased error of 0.0952 between the two models. Keywords: West Africa, Atmospheric mean temperature, Precipitable water vapor
url http://www.sciencedirect.com/science/article/pii/S2468227619308154
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