A Statistical Modeling for spatial-temporal variability analysis of solar energy with respect to the climate in the Punjab Region

A Statistical Modeling for spatial-temporal variability analysis of solar energy

Abstract

The purpose of this study was to assess the Spatio-Temporal effects of changing solar radiation on climate. Climate change in the world has gained public attention because it is one of the most important aspects of human survival. One particular climatic impact of changing solar insolation that has been overlooked by most researchers is the change in the atmosphere's carbon dioxide holding capacity. Changes in biochemical cycles and climate on a global, regional, and local scale have resulted from this change. The main goal of this study is to measure solar and climatic variability trends in the study area over the time period of 1990 to 2018. Making a connection between these factors has always been overlooked in Pakistan. To measure the relationship between variables, ordinary least squares methods were applied to solar variables and climatic variables for the regions of Bahawalpur, Islamabad, and Lahore. In the study area, a linear relationship was discovered between climatic variables and solar variables. The relationship between solar insolation and climatic variables (maximum temperature, minimum temperature, and precipitation) can be clearly observed using statistical analysis.