These politically motivated data deletions come at a time when the Arctic is warming twice as fast as the global average
Paleoclimate records are extremely rich sources of information about the past history of the Earth system. We take an information-theoretic approach to analyzing data from the WAIS Divide ice core, the longest continuous and highest-resolution water isotope record yet recovered from Antarctica. We use weighted permutation entropy to calculate the Shannon entropy rate from these isotope measurements, which are proxies for a number of different climate variables, including the temperature at the time of deposition of the corresponding layer of the core. We find that the rate of information production in these measurements reveals issues with analysis instruments, even when those issues leave no visible traces in the raw data. These entropy calculations also allow us to identify a number of intervals in the data that may be of direct relevance to paleoclimate interpretation, and to form new conjectures about what is happening in those intervals—including periods of abrupt climate change.
Saw reference in Predicting unpredictability: Information theory offers new way to read ice cores 
“Predicting unpredictability: Information theory offers new way to read ice cores,” Phys.org. [Online]. Available: http://phys.org/news/2016-12-unpredictability-theory-ice-cores.html. [Accessed: 12-Dec-2016]