Data for identifying the causal relationship on global warming from 1959-2024

The causal relationship between atmospheric CO₂ concentration and global warming has, to date, been recognized primarily on the basis of computer-simulated results, lacking robust statistical foundations. To address this limitation, we should reanalyze the time-series data on CO₂ concentration and global surface temperature. Additionally, other correlated time-series data, such as urban surface temperature and global population, should also be examined.

迄今为止，大气二氧化碳（CO₂）浓度与全球变暖之间的因果关联，主要基于计算机模拟结果得到确认，但该结论缺乏坚实的统计学支撑。为弥补这一研究局限，我们应当重新分析二氧化碳浓度与全球地表温度的时序数据。此外，还需对城市地表温度、全球人口等其他相关时序数据开展研判分析。