Instruments, Proxies, and Simulations: Exploring Imperfect Measures of Climate
Scientists working in climate research routinely use statistical models and methodologies to learn about the dynamics of climate and the interaction between different variables that configure the Earth’s climate system. A rich variety of data sources is available for studying climate. In recent years, there has been a growing interest in exploring the role that different measures of climate can play, as well as the capacity of each measure in learning about the climate system.
It could be argued that the quantity of data is increasing, but while there are many more sources, data quality and coverage are not consistent. These rich data provide us an opportunity to explore and compare their characteristics.
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