Modeling of Monthly Solar Radiation by Climatic Variables and its Impacts on Human and Animal Health

In this work the radiation corresponding to the monthly values of the year 2000 is modeled and the historical data for all the other years of the database of the city of Santa Clara, capital of Villa Clara province, Cuba is estimated using the Objective Regressive Regression (ORR). A model that explains 100 % of the explained variance was obtained, which represents an important tool to provide climatic services of radiation without having an actinometric station. The variables that entered into the equation were the monthly minimum temperature of the Yabu station and the monthly precipitation of the Yabu, Sagua and Caibarién meteorological stations. As the minimum temperature increases by 1°C the radiation decreases by 4.8 Watt/m2. With respect to rainfall, there are different impacts, some positive, such as Yabu and Caibarien, and others negative, such as in Sagua la Grande. A rainfall of 100 mm in Sagua can cause a decrease in radiation in Santa Clara of 89 Watt/m2. It is recommended to extend this model to neighboring stations changing only the minimum temperature of these stations in order to have the radiation data of these stations.