We utilize the multiple linear regression method to analyse meteorological data for eight cities in Burkina Faso. A correlation between the monthly mean daily global solar radiation on a horizontal surface and five meteorological and geographical parameters,which are the mean daily extraterrestrial solar radiation intensity, the average daily ratio of sunshine duration, the mean daily relative humidity, the mean daily maximum air temperature, and the sine of the solar declination angle, was examined. A second correlation is established for the entire country, using, this time, the monthly mean global solar radiation on a horizontal surface and the following climatic variables: the average daily ratio of sunshine duration, the latitude, and the longitude. The results showthat the coefficients of correlation vary between 0.96 and 0.99 depending on the station while the relative errors spread between −3.16% (Pˆo) and 3.65% (D´edougou). The maximum value of the RMSD which is 312.36 kJ/m² is obtained at Dori, which receives
the strongest radiation. For the entire cities, the values of the MBD are found to be in the acceptable margin.

Global solar radiation linear and multiple linear regression correlation synoptics station meteorological data