Meteorological Parameters Study and Temperature Forecasting in Selected Stations in Sub-Sahara Africa using MERRA-2 Data
Keywords:
Atmospheric parameters, Climate change, Forecasting, MERRA-2, ARIMA, ADFAbstract
The study and forecast of climatic phenomena have progressed over time, but the huge knowledge with information gathered has aided in comprehending and anticipating weather changes. The goal of this research was to look at some specific meteorological characteristics and forecast air temperature over a number of stations in Osun State, Nigeria. Monthly rainfall, relative humidity, air temperature, air pressure, wind speed and direction for four stations were gathered from the HelioClim website archives and used in this study. For each variable, descriptive statistics were calculated. The normality of the data was determined using the Shapiro-Wilks test. The data was tested for stationarity using the Augmented Dickey Fuller (ADF) test, and different types of Autoregressive Integrated Moving Average (ARIMA) models were fitted. According to the statistics, the highest average temperature was observed in March ( ). The months of June, July, August, and September had the highest mean relative humidity ( ), pressure ( ), wind speed ( ), wind direction ( ), and rainfall ( ). In January, the coefficient of variation (COV) for temperature was larger than in other months. In June, January, and December, relative humidity (RH), air pressure, rainfall, and wind speed and direction were all higher. The air temperature stationarity was tested using the Augmented Dickey Fuller (ADF) test, which revealed (p>0.05) but became stationary after the first difference (p<0.05). The temperature effect follows the same trend in ARIMA (1, 1, 1) forecasts for 2021 and 2022. As a result, air temperature modeling and forecasting are difficult tasks for any monthly time series. It is advised that all-time series models for any investigated location be considered, as well as meteorological conditions, in order to select the most appropriate model.
References
Adhikari, K. R.; B. K. Bhattarai and S. Gurung. (2013). Estimation of global solar radiation for four selected sites in Nepal using sunshine hour, temperature, and relative humidity. Journal of power and Energy Engineering, 1(3): 1-9.
Adhikari, S. (2016). Seasonal and Spatial variation of solar radiation in Nepal Himalayas. Journal of Hydrology and Meteorology, 8(1): 1 – 9.
Afrifa-Yamoah E.; I. Bashiru; I. Saeed and A. Karim. (2016). Sarima Modelling and Forecasting of Monthly Rainfall in the Brong Ahafo Region of Ghana. World Environment, 6(1): 1-9.
Almorox, J. (2011). Estimating global solar radiation from common meteorological data in Aranjuez, Spain. Turk Journal de physique, 35(1): 53 – 64.
Anitha, K.; N.K. Boiroju and P. R. Reddy. (2014). Forecasting of monthly mean of maximum surface air temperature in India. Int. J. Statistika Mathematika, 9(1): 14-19.
Aweda, F. O. and Samson, T. K. (2020). Modelling the Earth’s Solar Irradiance across Selected Station in Sub-Sahara Region of Africa. Iranian (Iranica) Journal of Energy and Environment Journal, 11(3): 204-211.
Aweda, F. O.; J. A. Oyewole; J. B. Fashae and T. K. Samson. (2020). Variation of the Earth’s Irradiance over selected Towns in Nigeria. Iranian (Iranica) Journal of Energy and Environment Journal, 11(4): 301 – 307.
Aweda, F. O.; S. Adebayo; T. K. Samson and I. A. Ojedokun, (2021a). Modelling Net Radiative Measurement of Meteorological Parameters Using MERRA-2 Data in Sub-Sahara Africa Town. Iranian (Iranica) Journal of Energy and Environment Journal, 12(2): 173 – 180.
Aweda, F. O.; J. O. Agbolade; J.A. Oyewole and M. Sanni. (2021b). Seasonal Variation of Some Atmospheric Parameters in Fresh Water Swamp and Sudan Savanna areas of Nigeria. Nigerian Journal of Technology (NIJOTECH), 40(4): 740 –750.
Balyani, Y.; G.F. Niya and A. Bayaat. (2014). A study and prediction of annual temperature in Shiraz using ARIMA model. J. Geographic Space, 12(38): 127-144.
Chabane, F.; N. Moummia and A. Brima. (2018). Forecast of relationship between a relative humidity and a dew point temperature. Journal of power Technologies, 98(2): 183 – 187.
Gelaro, R.; W. McCarty; M. J. Suarez; R. Todling; A. Molod; L. Takacs; C. A. Randles; A. Darmenov; M. G. Bosilovich; R. Reichle; K. Wargan; L. Coy and B. Zhao. (2017). The Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2). Journal of Climate, 30(14): 5419 – 5454.
El-Mallah, E.S. and Elsharkawy S.G. (2016). Time-series modeling and short term prediction of annual temperature trend on Coast Libya using the Box-Jenkins ARIMA Model. Advances Res., 6(5): 1-11.
Eludoyin, O. M.; I. O. Adelekan; R. Webster and A. O. Eludoyin. (2014). Air temperature, relative humidity, climate regionalization and thermal comfort of Nigeria. International Journal of Climatology, 34(6): 2000 – 2018.
Frimpong, K.; J. Oosthizen and E. J. Van Etten. (2014). Recent trends in temperature and relative humidity in Bawku East, Northern Ghana. Journal of Geography and Geology, 6(2): 69 – 81.
Geerts, B. (2003). Empirical estimation of the monthly-mean daily temperature range. Theoretical and Applied Climatology, 74: 145 – 165.
Gornicki, K.; R. Winiczenko; A. Kaleta and A. Choinska. (2017). Evaluation of models for the dew point temperature determination. Technical Sciences, 20(3): 241 – 257.
Hamrouni, N.; M. Iraidi and M. Cherif. (2008). Solar radiation and ambient temperature effects on theperformances of a PV pumping system. Revue des Energies Renouvelables, 11(1): 95 – 106.
Khatib, T. and Elmenreich, W. (2015). A model for hourly solar radiation data generation from daily solar radiation data using a generalized regression artificial neural network. International Journal of Photoenergy, 13(1): 1-13.
Khedhiri, S. (2015). Forecasting temperature record in PEI, Canada. Letters in Spatial and Resource Sciences, 9: 43-55, doi 10.1007/s12076-014-0135-x
Lawrence, M. G. (2005). The relationship between relative humidity and dewpoint temperature in moist air: a simple conversion and applications. American Society, 86(2): 225 – 234.
Lobell, B.D.; A. Sibley and J. I. Ortiz-Monasterio. (2012). Extreme heat effects on wheat senescence in India. Nature Climate Change, 2: 186-189.
Lobell, D.B., G. I. Hammer; G. Mclean; C. Messina; M. J. Roberts and W. Schlenker. (2013). The critical role of extreme heat for maize production in the United States. Nature Climate Change, 3: 1-13.
Mawoli, M.; H. N. Yayha; B. G. Danshehu; M. L. Muhammad and A. S. Bature. (2020). Development and Performance Evaluation of Solar Photovoltaic Module’s Surface-to-Rear Temperature Controlled Valve for Cooling Application. Nigerian Journal of Technological Development. 17(1): 20-27. doi: http://dx.doi.org/10.4314/njtd.v17i1.3
Muhammet B. (2012). The analyse of precipitation and temperature in Afyonkarahisar (Turkey) in respect of Box-Jenkins technique. J. Academic Social Sci. Studies, 5(8): 196-212
Murat, M; I. Malinowska; M. Gos and J. Krzyszczak. (2018). Forecasting daily meteorological time series using ARIMA and regression models. Int. Agrophys., 32: 253-264.
Poudyal, K. N.; B. K. Bhattarai; B. Sapkota, B. Kjeldstad. (2012). Solar radiation potential at four sites of Neptal. Journal of the Institute of Engineering. 8(3): 189 – 197.
Poudyal, K. N.; B. K. Bhattarai; B. Sapkota and B. Kjeldstad. (2012). Estimation of global solar radiation using clearness index and cloud transmittance factor at trans-Himalayan region in Nepal. Energy and power Engineering, 4(6): 415 – 421.
Prieto, J. I.; J. C. Martinez-Gacia and D. Garcia. (2009). Correlation between global solar irradiation and air temperature in Asturias, Spain. Solar Energy, 83(7): 1076 – 1085.
Rebetez, M. (2001). Changes in daily and nightly day – to – day temperature variability during the twentieth century for two stations in Switzerland. Theoretical and Applied Climatology, 69(1 - 2): 13-21.
Semenov M.A. and Shewry P.R. (2011). Modelling predicts that heat stress, not drought, will increase vulnerability of wheat in Europe. Scientific Reports, 1: 66.
Sillmann J. and Roeckner E. (2008). Indices for extreme events in projections of anthropogenic climate change. Climate Change, 86: 83-104.
Tanabe, S. I. and Kimura, K. I. (1994). Effect of air temperature, humidity, and movement on thermal comfortunder hot and humid conditions. Symposium, ASHRAE Transactions, 100(2): 953 – 969.
Ukhurebor, K. E.; I. C. Abiodun, F. Bakare. (2017). Relationship between relative humidity and dew point temperature in Benin City, Nigeria. Journal of Applied Sciences and Environmental Management. 21(5): 953 – 956.
Ukhurebor, K. E.; T. B. Batubo; I. C. Abiodun and E. Enoyeze. (2017). The influence of air temperature on the dew point temperature in Benin City, Nigeria. Journal of Applied Sciences and Environmental Management, 21(4): 657-660.
Yousif, T. A. and Tahir, M. H. (2013). The relationship between relative humidity and dew point temperature in Khartoum State, Sudan. Journal of Applied and Industrial Sciences, 1(5): 20 - 23.
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