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Scholars Journal of Physics, Mathematics and Statistics | Volume-5 | Issue-04
Modeling Metrological Parameter via Vector Autoregressive
Nwafor GO, Omini EE, Odok EO
Published: Aug. 30, 2018 |
126
85
DOI: 10.21276/sjpms.2018.5.4.7
Pages: 266-274
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Abstract
The study modeling metrological data using vector autoregressive focuses on
analyzing of monthly rainfall and temperature over a selected state in Southern Nigeria,
covering a period of 1972 – 2011. One of the key objectives of every study of
meteorological parameters is to determine the fluctuations and trend over the years and
area of study. The research aims at providing quantitative analysis of the dynamics on
meteorological parameters the rainfall and temperature in Niger Delta. This study
utilizes secondary data obtained from the meteorological station. The sample covers
monthly data from 1972 - 2011. The study employed the newly developed multivariate
time series estimation technique via Vector Autoregressive modeling to model the
rainfall and temperature over the period of study. The study on the evaluation of rainfall
and temperature trends in the Niger Delta region of Nigeria reveals some facts about the
meteorological parameter of selected stations in Niger Delta for the period under
investigation. The research obtained a stable model for the vector autoregressive for the
two meteorological parameters. The study has examined recent trends and fluctuations
of annual rainfall and temperature of southern Nigeria between 1972 to 2011. The
predicted value from the modeled data suggests continues increase in amount of monthly
rainfall and temperature with their confidence interval.