Open AccessInvestigating the Dynamics of Rainfall and Temperature in Three Selected Districts in Ghana: A Quantile Autoregression (QAR) Model Perspective
Author(s) -
Patrick Kweku Gbolonyo,
Wisdom Osabutey,
Lü Li,
Xiangzhong Yang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/453/1/012016
Subject(s) - quantile , autoregressive model , series (stratigraphy) , econometrics , statistics , mathematics , unit root , unit root test , environmental science , climatology , geography , cointegration , paleontology , geology , biology
In this paper, the quantile autoregressive (QAR) model was employed to estimate and investigate the dynamics of average rainfall and temperature within different quantile levels/points, according to the monthly year-on-year average rainfall and temperature indices from three selected districts in Ghana from January 2000 and February 2018. It was found that both rainfall and temperature series are stationary across the three districts in Ghana. And we also observe a statistically significant inverse association among rainfall as well as temperature across the three selected districts in Ghana. It was evidenced that the estimated autoregressive coefficients across the three districts presume different values alongside the conditional distributions of rainfall and temperature indices. And the unit root test indicates the general or absolute stationarity of the series.