From the abstract:
Although our analysis does not definitively identify whether this change introduced an error or removed one, the resulting difference in the trends suggests that a substantial error exists in either the current data set or the version that was used prior to the mid- 2000s, and numerous studies that have relied on these observations should be reexamined to determine the sensitivity of their results to this change in the data set.One of the obnoxious things about data sources is that they don't remain the same forever. This is not so much a problem for my concerns about weather prediction, since the atmosphere forgets what you said you observed in a few days. But for a climate trend, the entire record is important. For the data set being discussed, the Bootstrap Algorithm (Comiso) applied to passive microwave, we immediately run in to data obnoxing. Since 1978, there have been several passive microwave instruments -- SMMR, SSMI F-8, SSMI-F11, SSMI-F13, 14, 15, AMSR-E, SSMI-S F16, 17, 18, and AMSR-2. They didn't all fly at the same time, and they don't have exactly the same methods of observation. And none of them exactly observe 'sea ice', which leads to a universal problem which we (people who want to use these instruments to say something about sea ice) all have to deal with.
So a few considerations of what all is behind the scenes of this paper and the earlier Screen, 2011. The latter paper involved some of my work (read deep in to the acknowledgements). This one doesn't, but the fundamental issues are the same ...