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Modelling Precipitable Water Vapour (PWV) Over Nigeria from Ground-Based GNSS

*Bawa Swafiyudeen  -  Ahmadu Bello University, Zaria, Nigeria, Nigeria
Usman Ibrahim Sa'i  -  Ahmadu Bello University, Zaria, Nigeria, Nigeria
Adamu Bala  -  Ahmadu Bello University, Zaria, Nigeria, Nigeria
Aliyu Zailani Abubakar  -  Ahmadu Bello University, Zaria, Nigeria Department of geomatics (Lecturer 11), Nigeria
Adamu Abubakar Musa  -  Department of Surveying and Geoinformatics, Nuhu Bammalli Poly, Zaria, Kaduna, Nigeria, Nigeria
Nura Shehu  -  Department of Surveying and Geoinformatics, Nuhu Bammalli Poly, Zaria, Kaduna, Nigeria, Nigeria

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Abstract

Global Navigational Satellite System (GNSS) over the past and present time has shown a great potential in the retrieval of the distribution of water vapour in the atmosphere.  Taking the advantage of the effect of the atmosphere on GNSS signal as they travel from the constellation of satellite to ground-based GNSS receivers such that information (water vapour content) about the atmosphere (mostly from the troposphere) can be derived is referred to as GNSS meteorology. This paper presents the spatiotemporal variability of Precipitable Water Vapour (PWV) retrieved from ground–based Global Navigation Satellite System (GNSS) stations over Nigeria for the years 2012 to 2013. In this paper, the GNSS data were processed using GAMIT (ver. 10.70). The GNSS PWV were grouped into daily and monthly averages; the variability of the daily and monthly GNSS PWV were compared and validated with the daily and monthly PWV from National Centre for Environmental Prediction (NCEP) and monthly Rainfall data for the study years respectively. The results revealed that the spatiotemporal variability of PWV across Nigeria is a function of geographic location and seasons. The result shows that there is temporal correlation between GNSS PWV, NCEP PWV and rainfall events. The research also affirms that GNSS PWV could be used to improve weather forecasting/monitoring as well as climate monitoring.

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Keywords: NCEP, GNSS, Water Vapour, NigNet, Rainfall

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