While weather stations offer precise measurements of ground climate conditions in their immediate vicinity, their high cost and the need for regular data recording present significant challenges. Furthermore, the distribution of weather stations remains sparse, particularly in developing countries. Conversely, satellites see entire landscapes and can offer precise measurements at each location. This paper evaluates the performance of satellite products in conjunction with weather station observations at three distinct sites in Morocco, namely Ounagha, Chichawa, and R3. These sites exhibit diverse and contrasting climates. Precipitation and temperature data over the year 2018 at these sites were collected. Data based on satellite imagery were collected for two satellite products, ERA5 and POWER, over a similar period. The data were compared and analyzed through inferential statistics such as the root-mean-square error (RMSE) and the coefficient of determination (R2). The results showed that the temperature minimum daily simulated using the ERA5 satellite reached the highest value of R2 in all sites, exceeding 0.98, with RMSE = 1.80 (daily for Ounagha) and RMSE = 1.75 (daily for Chichawa) and with RMSE = 1.41 (daily for R3). The temperature maximum daily simulated through the ERA5 and POWER satellites showed a better coefficient of determination R2 close to 1 in Ounagha, Chichawa and R3 stations. Comparing the observed weather stations and the satellite data in terms of precipitation shows that the acceptable performance was attributed to the ERA5 data for cumulative, decade, and monthly precipitation in the three sites. Using satellite products is a good way to solve the lack of weather stations and make data available to the scientific community for further investigation. The results of this study encourage us to use the ERA5 satellite to collect climate data for any region characterized by the same climate as these study sites.