Heterogeneity of Scaling of the Observed Global Temperature Data

What is it about?

We looked into the so-called scaling dynamics of the two currently most prominent (and thus universally used) providers of global temperature anomalies datasets. We found that global temperature scaling dynamics is very heterogeneous and argued that understanding of sources of this heterogeneity could be a way forward in understanding attribution and detection problem in climate. Our findings also showed that, even if the data provided by the two products stem from the same set of sources – ground meteorological stations recordings – the different methodology that they use paints a different scaling picture.

Featured Image