Meteorological parameters study and temperature forecasting in selected stations in Sub-Sahara Africa using MERRA-2 data

نویسندگان

چکیده

The study and forecast of climatic phenomena have progressed over time, but the huge knowledge with information gathered has aided in comprehending anticipating weather changes. goal this research was to look at some specific meteorological characteristics air temperature a number stations Osun State, Nigeria. Monthly rainfall, relative humidity, temperature, pressure, wind speed direction for four were from HelioClim website archives used study. For each variable, descriptive statistics calculated. normality data determined using Shapiro-Wilks test. tested stationarity Augmented Dickey Fuller (ADF) test, different types Autoregressive Integrated Moving Average (ARIMA) models fitted. According statistics, highest average observed March (

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ژورنال

عنوان ژورنال: Nigerian Journal of Technological Development

سال: 2022

ISSN: ['0189-9546', '2437-2110']

DOI: https://doi.org/10.4314/njtd.v19i1.9