Advances in information-gathering technology have enabled the collection of large datasets with immense potential for scientific discovery and data-driven decision-making. However, existing methods to analyze large datasets have limited applicability in fields like economics and climatology, where the persistent and trending nature of data recorded over time results in poor predictions and misleading conclusions. I will develop specialized methods focussed on extracting reliable information and quantifying uncertainty based on large, trending datasets. Utilizing these methods, I will analyze how regional variations in greenhouse gas emissions impact global warming, offering an enhanced framework for developing and quantifying risks in climate policy.