Contradictory Conclusions on the Relationship Between CO2 Levels and Surface Temperature Anomalies

Abstract

Abstract From an astronomical perspective, climate change has a significant impact on both life and the environment on Earth. This paper examines the statistical significance of the relationship between monthly global atmospheric CO2 levels and surface temperature anomalies using NOAA datasets. The p-value is used to determine the statistical significance of the data through linear regression. The analysis is based on trusted measures from March 1958 to June 2023, the period during which NOAA has been measuring global atmospheric CO2 levels at a single point and temperature anomalies with 2592 grid points of the global surface. The results reveal contradictory conclusions with high statistical significance, depending on the investigated period. These findings suggest that global CO2 levels alone may not be sufficient to predict global surface temperature anomalies.